Next Article in Journal
Five New Phyllachora Species from Tar Spot Fungi on Poaceae in Sichuan China
Previous Article in Journal
Snake Fungal Disease (Ophidiomycosis) in Northern Pine Snakes (Pituophis melanoleucus melanoleucus) in New Jersey: Variations by Year, Sex, and Morphological Sampling Site
Previous Article in Special Issue
Biocontrol of Seedborne Fungi on Small-Grained Cereals Using Bacillus halotolerans Strain B33
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Sustainable Management of Major Fungal Phytopathogens in Sorghum (Sorghum bicolor L.) for Food Security: A Comprehensive Review

by
Maqsood Ahmed Khaskheli
1,†,
Mir Muhammad Nizamani
1,†,
Entaj Tarafder
1,
Diptosh Das
2,
Shaista Nosheen
3,
Ghulam Muhae-Ud-Din
1,
Raheel Ahmed Khaskheli
4,
Ming-Jian Ren
1,
Yong Wang
1,* and
San-Wei Yang
1,*
1
Department of Plant Pathology, College of Agriculture, Guizhou University, Guiyang 550025, China
2
Molecular and Applied Mycology and Plant Pathology Laboratory, Centre of Advanced Study, Department of Botany, University of Calcutta, 35, Ballygunge Circular Road, Kolkata 700019, West Bengal, India
3
Department of Food and Animal Sciences, Alabama A&M University, Normal, AL 35762, USA
4
Department of Plant Pathology, Faculty of Crop Protection, Sindh Agriculture University, Tandojam 70060, Pakistan
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
J. Fungi 2025, 11(3), 207; https://doi.org/10.3390/jof11030207
Submission received: 22 November 2024 / Revised: 28 January 2025 / Accepted: 1 March 2025 / Published: 6 March 2025
(This article belongs to the Special Issue Crop Fungal Diseases Management)

Abstract

:
Sorghum (Sorghum bicolor L.) is a globally important energy and food crop that is becoming increasingly integral to food security and the environment. However, its production is significantly hampered by various fungal phytopathogens that affect its yield and quality. This review aimed to provide a comprehensive overview of the major fungal phytopathogens affecting sorghum, their impact, current management strategies, and potential future directions. The major diseases covered include anthracnose, grain mold complex, charcoal rot, downy mildew, and rust, with an emphasis on their pathogenesis, symptomatology, and overall economic, social, and environmental impacts. From the initial use of fungicides to the shift to biocontrol, crop rotation, intercropping, and modern tactics of breeding resistant cultivars against mentioned diseases are discussed. In addition, this review explores the future of disease management, with a particular focus on the role of technology, including digital agriculture, predictive modeling, remote sensing, and IoT devices, in early warning, detection, and disease management. It also provide key policy recommendations to support farmers and advance research on disease management, thus emphasizing the need for increased investment in research, strengthening extension services, facilitating access to necessary inputs, and implementing effective regulatory policies. The review concluded that although fungal phytopathogens pose significant challenges, a combined effort of technology, research, innovative disease management, and effective policies can significantly mitigate these issues, enhance the resilience of sorghum production to facilitate global food security issues.

1. Introduction

Sorghum (Sorghum bicolor L.), commonly known as great millet or durra, is a staple food crop that is particularly important in the semi-arid and arid regions of Africa, Asia, and Central and South America [1,2]. It ranks fifth globally among the most important cereal crops, followed by rice, wheat, maize, and barley. The USA is the leading producer of sorghum in the world, accounting for around 13% of the total output. Nigeria, Sudan, Mexico, and Ethiopia are the next leading producers, accounting for 11%, 8%, and 8%, respectively [3,4]. India plays a significant role in Asia, contributing a large share to global production. In Central America, Mexico is the leading producer, while South America’s main contributors include Argentina, Brazil, and Venezuela [5]. Sorghum is drought-resistant and can thrive under conditions unsuitable for several other crops, making it a vital food security crop in numerous regions prone to dry spells [6,7]. Economically, sorghum is essential for subsistence in developing countries and as a cash crop in both developing and developed countries. It has broad applications in human food, animal feed, and industry [8,9]. Sorghum grains are used in food products such as porridge, unleavened bread, cookies, cakes, couscous, and malted beverages; they are also used in the production of alcoholic beverages [10]. Moreover, sorghum serves as a feed grain for livestock and is increasingly used for ethanol production and bioenergy, owing to its favorable energy balance [11].
Globally, sorghum plays a significant role in agriculture, with diverse applications. Africa, the largest producer, contributes to approximately half of the global sorghum production, primarily as a food staple in the Sahel region, including Sudan, Nigeria, Ethiopia, Burkina Faso, and East African countries like Uganda and Tanzania [12,13,14]. In Asia, India leads the production, followed by China, where sorghum is used for food, fodder, and alcohol production, a trend also observed in Pakistan, Indonesia, and the Philippines [15,16]. In the Americas, the United States is a key player in the global sorghum market, using it primarily for animal feed and ethanol production, with major cultivation in the Great Plains and notable contributions from Mexico, Argentina, and Brazil [17,18]. In Australia, sorghum is the third-largest cereal crop, primarily grown in Queensland and northern New South Wales as livestock feed [19]. These regional differences highlight sorghum’s versatility and global importance in addressing agricultural and economic needs, while emphasizing the need to understand Colletotrichum sublineolum biology, improve disease forecasting, and develop sustainable disease management strategies [20,21].
The global sorghum market was valued at approximately USD 22.11 billion in 2023 and is anticipated to grow at a compound annual growth rate (CAGR) of 5.4% from 2024 to 2030, reflecting its economic significance [22]. Meanwhile, the global millet market was valued at USD 13.84 billion in 2023 and is projected to reach USD 21.20 billion by 2031, growing at a CAGR of 5.52% from 2024 to 2030 [23]. Market growth is primarily driven by the increasing consumption of sorghum in the feed and food industries, the rising demand for gluten-free food products, and the expansion of biofuel and ethanol production [24,25]. Because of its substantial economic importance, several factors that reduce sorghum yield, such as fungal diseases, pose serious concerns for farmers, industries, and policy makers [26].
Fungal diseases pose a significant challenge to sorghum production worldwide. They cause dramatic yield losses and also adversely affect the quality of the harvested grains. Yield losses owing to fungal infections can range from 10 to 30%, with some cases of complete crop failure under heavy disease pressure [27,28]. The nature and extent of damage caused by fungal diseases depend on several factors, including the specific fungal pathogen, susceptibility of the sorghum variety, environmental conditions, and timing and severity of disease onset [29]. Some of the most damaging fungal diseases in sorghum include anthracnose, grain mold, charcoal rot, downy mildew, and rust [30].
Anthracnose caused by Colletotrichum spp., especially Colletotrichum sublineolum, can cause severe yield losses. Grain mold, caused by a complex of fungi, including Fusarium spp., and blight, caused by Curvularia spp., primarily affect grain quality by reducing both its nutritional value and marketability [31,32]. Charcoal rot, caused by Macrophomina phaseolina, leads to stalk rot, which can significantly reduce the yield, especially under drought and high-temperature conditions [33]. The adverse effects of fungal diseases highlight the need for effective disease management. Managing sorghum fungal disease is complicated due to the diversity of pathogens involved, variability in the environmental conditions, and limited available resources, particularly in developing regions where sorghum is a primary food crop [12,34]. Despite advancements in breeding disease-resistant varieties and the availability of fungicides, these challenges persist, making fungal diseases a pressing problem in sorghum production [15].
Fungal phytopathogens that occur during sorghum production can have profound economic consequences and affect farmers, communities, and related industries. These diseases have a direct effect on crop yield, with significant losses leading to reduced income for farmers [35,36,37]. This reduction in yield is especially detrimental for smallholder farmers, who often depend on crops for their livelihoods. Consequently, poor harvests can have far-reaching financial implications for farmers and their families [38]. The quality of sorghum grain is a critical factor. Diseases such as grain molds can severely degrade grain quality, reducing the grain market value and suitability for specific end uses, which can restrict marketing opportunities and further diminish the potential earnings of farmers. The management of fungal phytopathogens also leads to increased production costs [39]. This may involve the purchase and application of fungicides, investment in resistant cultivars, or the implementation of labor-intensive cultural practices, such as crop rotation and sanitation. These additional costs can place significant financial strain on farmers, particularly those with limited resources [40,41]. Food security is crucial, particularly in regions where sorghum is the staple food source. Yield losses due to fungal diseases can lead to food insecurity, which is a grave concern in areas where alternative food sources are scarce or expensive [42]. The broader economic resilience of farming communities poses risks. Disease outbreaks can erode savings, increase debt, and heighten vulnerability to shocks like extreme weather or market fluctuations [43]. Moreover, the impact of sorghum disease extends beyond agricultural industries, such as milling, brewing, and animal feed production, which depend on sorghum and can suffer from reduced supply, potentially leading to job losses and economic downturns in these sectors [39].
This review provides a comprehensive analysis of major fungal diseases affecting sorghum, focusing on their impact, pathogenesis, symptomatology, and broader economic, social, and environmental implications. The diseases covered include anthracnose, grain mold complex, charcoal rot, downy mildew, and rust, with an emphasis on their pathogenesis, symptomatology, and overall economic, social, and environmental impacts. Current management strategies, such as fungicide application, biological control measures (BCMs), crop rotation, intercropping, and breeding for disease resistance, have been evaluated. Additionally, the review highlights emerging technologies like digital agriculture, predictive modeling, remote sensing, and IoT devices for early warning, detection, and disease management. It also outlines crucial policy recommendations to support farmers and research disease management, emphasizing the need for increased investment in research, strengthening extension services, facilitating access to necessary inputs, and implementing effective regulatory policies. Fungal diseases continue to pose significant challenges to sorghum production systems, threatening global food security and agricultural sustainability. Addressing these issues requires a comprehensive understanding of the pathogens involved, their biology, and the environmental factors driving disease outbreaks. This review provides an in-depth analysis of the current knowledge on fungal diseases affecting sorghum, highlighting recent advancements in disease management strategies, technological innovations, and policy interventions.

2. Overview of Sorghum Cultivation

2.1. Distribution of Sorghum Production Worldwide

Sorghum is cultivated worldwide, predominantly in warm, and semi-arid regions due to its drought tolerance and ability to grow in nutrient-poor soils where other cereal crops may not thrive [16,44]. Sorghum is a cornerstone of agricultural production in Africa, particularly in the Sahel region. Africa contributes to approximately half of global sorghum production, underscoring its significance as a primary staple food [45]. Countries such as Sudan, Nigeria, Ethiopia, and Burkina Faso are major producers that rely heavily on this crop for food security [28]. East African nations, such as Uganda and Tanzania, also cultivate significant amounts of sorghum [17]. Asia also plays a crucial role in global sorghum production, with India leading, followed by China [19]. Sorghum serves multiple purposes in these regions; it is a staple food, a source of fodder for livestock, and a key ingredient in alcohol production. Other Asian countries, such as Pakistan, Indonesia, and the Philippines, also contribute to sorghum production in the region [46]. The United States is the leading producer and one of the largest global sorghum exporters. The crop is primarily used for animal feed and ethanol production in the Great Plains region, including states such as Kansas, Texas, and Oklahoma, which are major production areas [47,48]. Sorghum is grown in significant quantities in Mexico, Argentina, and Brazil [49,50]. Sorghum is the third-largest cereal crop in Australia, after wheat and barley, and is primarily cultivated in Queensland and northern New South Wales [51]. It is primarily used as feed grain for livestock and plays a crucial role in the country’s agricultural sector. The approach of each region to sorghum cultivation reflects its agricultural practices, economic needs, and climatic conditions, making sorghum a globally significant crop with diverse applications [52]. All papers published on sorghum from 2000 to April 2024 have been analyzed across various topics. The distribution of research topics highlights significant areas of focus within sorghum studies. Crop rotation emerged as the most studied topic, with 851 publications, followed by environmental impacts, with 525 papers. Fungal disease management accounted for 63 publications, while digital agriculture management had the least, with only 12 publications. Other specialized areas, such as biological control (53 papers), fungicide development (22 papers), disease-resistant varieties (33 papers), and predictive modeling (39 papers), showed targeted research efforts. The distribution of publications over the years indicates a gradual increase in research interest, with notable spikes in some years. The analysis demonstrates a steady rise in publications on topics such as crop rotation and environmental impacts, whereas more recent topics like digital agriculture management have fewer studies, reflecting emerging areas of focus (Figure 1).

2.2. Primary Production Practices and Their Relation to Disease Prevalence

Sorghum production practices vary widely across regions, depending on local climatic conditions, soil types, available resources, and the intended use of the crop. These practices can significantly influence the prevalence and severity of fungal phytopathogens in sorghum. Understanding production practices and their impact on disease prevalence is crucial for developing effective disease management strategies. By adapting production practices, farmers can create fewer favorable conditions for fungal growth, reducing the severity and impact of diseases on sorghum yield (Table 1).

2.3. Importance of Fungal Phytopathogen Management in Sorghum Farming Systems

Fungal phytopathogen management is crucial to sorghum farming systems for several reasons. Table 2 provides a concise overview of the critical reasons for managing fungal phytopathogens in sorghum and highlights the key points, implications, and references for further information. This underscores the significance of this management in various aspects, such as yield protection, food security, environmental stewardship, and economic stability.

3. Main Fungal Diseases in Sorghum

3.1. Anthracnose in Sorghum

Anthracnose, caused by Colletotrichum sublineolum, is one of the most destructive foliar diseases of sorghum, particularly in tropical and subtropical regions, where warm temperatures and high humidity favor its development. This disease can cause yield losses of up to 67% in susceptible cultivars under favorable environmental conditions [30]. Anthracnose affects all above-ground parts of the plant and progresses through four distinct stages: root rot during the seedling stage, leaf and sheath lesions, stalk rot, and grain mold. These stages reflect the pathogen’s ability to infect and damage various parts of the sorghum plant, leading to significant agronomic and economic impacts [30].
At the seedling stage, anthracnose typically causes root rot, which weakens young plants and hinders early development. As the disease advances, the leaf and sheath phase is marked by characteristic dark, circular to elliptical spots on leaves. These lesions often coalesce into larger necrotic areas, reducing photosynthetic capacity and overall plant vigor. The pathogen can also invade the stalks, causing stalk rot that compromises structural integrity and may lead to peduncle breakage, resulting in grain loss. Infected grains exhibit symptoms ranging from discoloration to complete degradation by fungal growth [30,76,77,78].
The symptoms of anthracnose are visible as dark lesions on the leaves, often accompanied by red or orange pigmentation. These lesions may expand into necrotic patches that reduce photosynthesis. Infected stems may develop soft rot, weakening the plant’s structure and causing panicle collapse, which adversely affects grain development. In severe cases, anthracnose significantly reduces grain quality by causing premature grain deterioration and mold formation. Grain infected by C. sublineolum is often lightweight, with reduced nutritional value, impacting marketability and food security [79].
The pathogen follows a biotrophic-to-necrotrophic lifecycle. It establishes a symptomless biotrophic phase in host tissues before transitioning to a necrotrophic phase characterized by cell death and fungal proliferation [80]. Acervuli develop within lesions during this phase, producing masses of conidia that serve as secondary inoculums for further spread [77,81]. The pathogen’s genetic variability complicates management efforts, as different pathotypes can overcome resistance in sorghum varieties over time [78].
Additionally, certain growth stages of the plant are more vulnerable to specific pathogens, which has important implications for disease management. Anthracnose, caused by Colletotrichum sublineolum, is characterized by small oval to irregular reddish-brown to dark brown spots on the leaves and stems. These spots can enlarge over time, leading to premature leaf death. Lesions on stems and panicles may progress to rotting [82,83]. The disease can be identified by the presence of dark fungal structures (acervuli) within lesions, which may produce orange spores under wet conditions [84]. Anthracnose can infect sorghum at any stage, but symptoms are most commonly observed during the vegetative and early reproductive stages. Infections during these stages can result in significant yield losses [85].

3.2. Grain Mold Complex (Fusarium spp., Curvularia spp., and Others)

Grain mold complex is a significant sorghum disease, particularly in regions with high humidity and rainfall during the grain-filling stage [31]. It involves a group of diverse fungal pathogens, with the most common being Fusarium, Curvularia, and others such as Aspergillus and Penicillium [30,86]. Fungi involved in the grain mold complex have similar life cycles. They typically overwinter in soil or plant debris and produce spores that are dispersed by wind or rain. The spores germinate and infect the developing grain under favorable conditions, including high humidity and temperatures between 25 and 30 °C [87]. Grain mold is characterized by fungal growth on the grain surface, which can be of different colors (pink, green, black, or white) depending on the fungi involved. Infected grains can become discolored, shrimp, lightweight, or completely consumed by fungi. In severe cases, fungal growth can cover the entire panicle, resulting in a moldy appearance [88]. The symptoms of the grain mold complex are depicted in Figure 2, showing fungal hyphae enveloping grain particles. Grain molds primarily affect the quality of harvested grains, thereby reducing their market and nutritional value. Lightweight or shriveled grains are less desirable for milling, brewing, and other food or feed uses, leading to economic losses for farmers [89]. This disease is mainly associated with poorer grain filling, resulting in reduced grain weight and ultimately yield losses [90].
The grain mold complex, caused by fungi such as Fusarium spp., Curvularia spp., and others, primarily affects the grains. Symptoms include discoloration and shriveling of grains, which may appear white, pink, or black, often with a lightweight and chalky texture [91]. The presence of mold fungi is confirmed by spore masses in various colors, including white, green, pink, or black [92]. This disease predominantly affects the grain-filling stage, beginning at flowering and continuing until harvest. Moldy grains lead to significant yield losses and reduced quality [93]. Management strategies for grain mold complexes in sorghum include genetic resistance, cultural practices, and chemical control. Resistant varieties are a key part of disease management, although achieving complete resistance is challenging due to the complex nature of the disease and the availability of only partial resistance in current varieties [78]. Cultural practices that can help manage the disease include crop rotation, especially with non-host crops, and residue management to reduce the inoculum load in the field [79,80]. Timely harvesting can also help minimize grain mold development. Fungicides can be effective but are often not economically feasible for small-scale farmers and may have negative environmental impacts [81]. Continued research on the complex interactions between fungi, host plants, and environmental conditions is necessary to develop more effective and sustainable management strategies for grain mold complexes in sorghum [94].

3.3. Charcoal Rot (Macrophomina phaseolina)

Charcoal rot, which is caused by the soil-borne fungal pathogen Macrophomina phaseolina, is a common and destructive disease in sorghum, particularly in hot and dry environments. Macrophomina phaseolina is a necrotrophic fungus that can survive in soil and plant residues, such as microsclerotia (resting structures), for several years [95,96]. When soil moisture and temperature conditions become favorable, typically during high temperature and soil moisture stress, microsclerotia germinate and produce hyphae that penetrate the plant root system [97]. This fungus colonizes the vascular tissue of plants, obstructs water and nutrient transport, and eventually leads to plant death. The fungus produces new microsclerotia in dying plant tissues, which return to the soil once the plant dies and decomposes, thereby completing the disease cycle [98]. Charcoal rot symptoms typically appear during the flowering and grain-filling stages, particularly under drought conditions. The initial symptoms include wilting, yellowing, and premature leaf death [99]. Internally, the base of the stalk shows a silver-gray discoloration, and when split open, numerous tiny black microsclerotia give rise to charcoal dust; hence, the name “charcoal rot”. In the advanced stages, the disease leads to stalk lodging (breaking) and rot, causing the entire plant to die. The affected plants may produce small, poorly filled heads [100,101]. Charcoal rot symptoms on sorghum plants are illustrated in Figure 3, showing characteristic discoloration and fungal growth in the stem tissues. Charcoal rot can cause significant yield losses, particularly in years with high temperatures and droughts. Depending on the disease severity and environmental conditions, losses can be substantial [102]. In addition to yield reduction, charcoal rot can also reduce grain quality, thereby affecting economic returns for farmers [103]. Charcoal rot is most severe during the reproductive stage, particularly during grain filling, and is aggravated by high temperatures and drought stress [104]. Management of charcoal rot in sorghum involves an integrated approach. Crop rotation with non-host crops and proper irrigation and fertilization to reduce plant stress can be helpful [105]. The use of disease-resistant varieties is an important strategy, although resistance to charcoal rot is complex, and no completely resistant varieties are currently available [106]. Furthermore, deep plowing of infected crop residues and a reduction in the inoculum in the upper soil layers can be beneficial. Chemical control options are limited and typically not economically feasible [107]. Biocontrol agents, including certain beneficial soil microbes, are currently being studied for their potential to manage this disease [108,109,110]. Given the impact and challenges of managing charcoal rot, further research is needed to better understand the pathogen, develop effective resistant varieties, and devise sustainable and economically viable control methods [111].

3.4. Downy Mildew (Peronosclerospora sorghi)

Downy mildew, caused by Peronosclerospora sorghi, can lead to significant yield losses in sorghum, particularly in tropical and subtropical regions. While losses can range from moderate (10–30%) to severe (50% or more), depending on various factors, implementing effective management strategies can substantially reduce the adverse impacts on sorghum production [112,113,114]. Peronosclerospora sorghi can survive in soil and plant debris, such as oospores, for several years. Oospores germinate under favorable conditions (high humidity and cool temperatures), producing sporangia that release motile zoospores [115]. These zoospores infect plants primarily through their roots and move systemically throughout the plant [116]. The pathogen colonizes plant tissue and eventually produces sporangia on the lower leaf surface, which release new zoospores that can spread to other plants, thereby completing the life cycle of the pathogen [117,118]. The most characteristic symptom of downy mildew in sorghum is the presence of white to pale purple downy growth, which consists of sporangia, on the lower surface of the leaves [113]. Symptoms include white to pale purple downy growth on the lower surface of leaves, yellowing, or death of leaf tissue, and stunted plants [119]. In severe cases, plants may fail to produce fertile heads. Downy growth composed of sporangia is a characteristic sign of the disease [120]. Symptoms may persist throughout the plant’s life, underscoring the importance of early detection [98]. Other symptoms include chlorosis (yellowing) or necrosis (death) of the leaf tissue, plant stunting, and a bushy or rosette-like appearance due to shortened internodes. In severe cases, infected plants may or may not produce sterile heads, leading to significant yield loss [121]. Downy mildew symptoms are shown in Figure 4, characterized by yellowing and fuzzy grayish patches caused by Peronosclerospora sorghi. Effectively reducing Downy mildew in sorghum requires a comprehensive, integrated management approach that includes resistant varieties, appropriate fungicide use, optimal cultural practices, biological controls, and vigilant monitoring. Addressing these aspects not only minimizes yield losses but also preserves the quality of harvested grains, ensuring economic viability for farmers and maintaining the nutritional and market value of sorghum products [76,122,123,124,125]. The impact of the disease can be particularly severe in regions with high humidity and cool temperatures, which are favorable for disease development [31,126]. The management of downy mildew on sorghum involves several strategies. Planting disease-resistant varieties, such as BTx623 (BTx623) and Hybrid SPH 1705, is a key part of the control efforts. Crop rotation, particularly with non-host crops, such as legumes, cereals, root crops, brassicas, and cover crops, and residue management to reduce the inoculum load in the field can also help manage this disease. [97,127,128]. Utilizing fungicides with effective active ingredients and diverse chemical groups for seed treatment is a vital component in managing downy mildew (Peronosclerospora sorghi) in sorghum. By selecting fungicides such as dithiocarbamates (e.g., thiram), phenylamides (e.g., metalaxyl), triazoles (e.g., propiconazole), strobilurins (e.g., azoxystrobin), carboxamides (e.g., fludioxonil), chlorothalonil, and phosphorous acid (e.g., fosetyl-Al), farmers can provide comprehensive protection against initial disease infections [129,130,131,132,133]. Further research is required to develop more effective and sustainable management strategies, including breeding more resistant varieties and developing biological control methods. Understanding the biology and epidemiology of Peronosclerospora sorghi is critical for predicting disease outbreaks and improving disease management practices [134,135].

3.5. Rust (Puccinia purpurea)

Rust, caused by the fungal pathogen Puccinia purpurea, is a common sorghum disease, particularly in warm and humid regions [136]. Puccinia purpurea is an obligatory biotrophic pathogen that requires a living host to complete its life cycle. This fungus produces urediniospores that are wind-dispersed and can initiate infection under favorable conditions [137,138]. Rust is characterized by numerous small, round to elongated raised pustules on the upper surface of leaves, leaf sheaths, and occasionally panicles and stalks. These pustules are initially reddish-brown, but turn black as they mature [139]. The disease is confirmed by rust-colored pustules filled with spores [140]. Rust can infect sorghum at all stages, but it is most severe during the early growth stages. Late-planted crops or continuous cropping systems are particularly vulnerable due to pathogen build-up [141]. During infection, the pathogen colonizes the host tissue and produces urediniospores, leading to a secondary infection cycle [142,143]. Rust disease in sorghum is easily identified by the presence of numerous small, round, and elongated pustules on the upper surface of leaves, leaf sheaths, and occasionally panicles and stalks. These pustules are initially reddish-brown (hence the name “rust”) but turn black as they mature [144,145]. In severe cases, heavy rust infestation can lead to leaf blight and early senescence, thereby reducing plant photosynthetic capacity. Rust disease symptoms are highlighted in Figure 5, displaying orange pustules indicative of fungal infection. Sorghum rust can cause significant yield losses, especially in susceptible varieties and under favorable environmental conditions. This disease reduces photosynthetic area, affecting plant vigor, grain filling, and, ultimately, yield. Under heavy disease pressure, downy mildew can drastically impair sorghum grain quality, affecting multiple parameters, from kernel weight and protein content to germination rates and marketability. Quantitative assessments indicate that yield reductions can reach up to 70%, while quality parameters such as protein content and germination rates may decline by 25% or more [82,146,147,148,149]. Puccinia sorghi is a fungal pathogen responsible for rust disease in sorghum, causing significant crop losses. The pathogen infects the leaves and stems of sorghum plants, with disease development heavily influenced by environmental conditions, particularly humidity and temperature, with the ideal range for infection being 15–25 °C [126,142,150]. Its distribution is global, especially prevalent in regions like the Corn Belt and East Africa, where it coexists with other sorghum diseases. The impact of Puccinia sorghi on yields can vary, but it generally leads to moderate losses in susceptible cultivars, particularly when combined with other fungal infections like anthracnose and mildew [151]. Effective management strategies include developing genetically resistant sorghum varieties and improved diagnostic techniques for early disease detection, emphasizing the importance of integrated disease management to mitigate its effects on global sorghum production [152]. Rust management in sorghum primarily relies on the use of resistant varieties and crop rotations. Several rust-resistant sorghum hybrids are available, and their use is the most effective and economical method for disease control [153]. Crop rotation with non-host crops can reduce the amount of inoculum required in the field. Timely planting can also help to avoid periods of high disease pressure. Chemical control with fungicides can be effective, but is typically used as a last resort owing to the costs and potential environmental impacts [154,155]. Because of the importance of sorghum and the potential severity of rust, ongoing surveillance and research are essential to monitor the evolution of the pathogen and to develop new resistant varieties. Predictive models based on weather patterns can also help forecast disease outbreaks and guide management decisions [29,156].

3.6. Other Significant Diseases: Brief Descriptions and Impacts

Although less prevalent, several other fungal phytopathogens have a significant effect on sorghum production. These fungal phytopathogens may be as significant as the primary diseases discussed and can substantially affect sorghum production. The management of these fungal phytopathogens typically involves similar strategies, including the use of resistant varieties, crop rotation, and agronomic practices to reduce disease pressure and plant stress. A brief description of these fungal phytopathogens is provided in Table 3.

3.7. Pathogenesis and Symptomatology

Each fungal pathogen interacts with sorghum plants in unique ways, leading to different disease symptoms and effects on the crop [85]. Table 4 provides a comprehensive overview of additional fungal diseases affecting sorghum, highlighting their key symptoms, potential impact on crops, and references for further information. Understanding how fungi affect plants is crucial for disease diagnosis and management strategies. Research on host–pathogen interactions, disease resistance, and environmental effects on disease development can help improve disease control strategies and reduce the impact of these diseases on sorghum production.

4. Mycotoxins

Sorghum is highly susceptible to contamination by mycotoxins, secondary metabolites produced by fungi such as Aspergillus, Fusarium, and Alternaria species. These toxic compounds pose serious health risks to humans and animals and adversely affect crop quality, yield, and economic value. The primary mycotoxins associated with sorghum are aflatoxins, fumonisins, zearalenone, and deoxynivalenol (DON), among others. Sorghum is particularly vulnerable to aflatoxin contamination in warm and humid conditions during post-harvest storage or periods of drought stress during cultivation. Aflatoxin B1 is the most toxic and frequently detected in sorghum grains, often exceeding permissible limits set by food safety authorities [94,163,164]. Fumonisins, especially fumonisin B1, are hepatotoxic and nephrotoxic and are implicated in esophageal cancer in humans. Environmental conditions such as high humidity and fluctuating temperatures significantly influence fumonisin contamination in sorghum [165,166]. While zearalenone is known for its estrogenic effects, DON, also called vomitoxin, causes severe gastrointestinal disorders in humans and animals. Studies have highlighted sporadic yet notable contamination of sorghum with these mycotoxins, particularly in temperate regions [150,167,168]. Mycotoxin contamination in sorghum has far-reaching implications for global food security and public health. Chronic exposure to these toxins is associated with liver cancer, immune suppression, and stunted growth in children. In livestock, mycotoxins reduce feed efficiency, impair reproduction, and increase susceptibility to diseases [169,170,171].

5. Current Strategies for Managing Fungal Phytopathogens

5.1. Use of Fungicides: Advantages and Drawbacks

Fungicides play an important role in the management of fungal diseases in sorghum and other crops [172]. However, their use encompasses both advantages and drawbacks. Fungicides play a crucial role in modern agriculture by offering several advantages in disease management. Their efficacy in significantly reducing disease severity has been well documented, with studies highlighting their role in protecting crop yield and ensuring grain quality, both critical for the economic viability of agriculture [89]. For sorghum, fungicides such as tebuconazole, propiconazole, and azoxystrobin have demonstrated high efficacy in controlling fungal diseases like anthracnose caused by Colletotrichum sublineola and the grain mold complex. The availability and accessibility of fungicides also present notable benefits. A diverse range of fungicides is commercially available, allowing the targeted management of specific diseases. In many regions, these fungicides are readily accessible to farmers, ensuring that effective disease control measures are within reach. Moreover, the flexibility of fungicides in terms of application methods, such as foliar sprays, seed treatments, or soil drenches, allows farmers to tailor disease management strategies to prevailing conditions. Seed treatment with metalaxyl is often used to manage seed-borne downy mildew pathogens like Peronosclerospora sorghi [173,174]. Another advantage of fungicides is their dual functionality, i.e., preventive fungicides stop fungal infection before it occurs, while curative fungicides can halt disease progression even after infection [175,176]. For instance, strobilurins, like azoxystrobin, exhibit both preventive and curative properties, enhancing their utility in sorghum disease management. This versatility makes fungicides an integral component of integrated pest management (IPM) strategies [177].
The development of new fungicides is an ongoing area of research driven by the need for more effective, less toxic, and environmentally friendly solutions to manage fungal diseases in crops such as sorghum [29]. Recent advancements in fungicide formulations have focused on developing products specifically tailored for managing fungal diseases in sorghum. Notably, combinations such as azoxystrobin with difenoconazole and azoxystrobin with epoxiconazole have been registered for controlling leaf blight in sorghum [178,179]. These formulations leverage the synergistic effects of combining different active ingredients, providing broad-spectrum efficacy against multiple pathogens. Azoxystrobin, a strobilurin fungicide, inhibits mitochondrial respiration in fungi, effectively stopping spore germination and mycelial growth [180]. Difenoconazole and epoxiconazole are triazole fungicides that inhibit ergosterol biosynthesis, which is essential for fungal cell membrane integrity. This dual-action approach not only enhances effectiveness but also helps in managing resistance by targeting different biochemical pathways [181].
Effectiveness against Pathogens: These new formulations have demonstrated high efficacy against key sorghum pathogens such as Colletotrichum sublineolum (anthracnose) and Exserohilum turcicum (leaf blight), significantly reducing disease incidence and severity [182,183]. Comparative trials have shown these combinations to outperform older fungicides, offering improved control under varying environmental conditions. Despite these advancements, it is important to consider the potential challenges. The development of new fungicides is a lengthy and expensive process with strict regulatory requirements to ensure safety and efficacy. There may also be issues related to costs, accessibility, and acceptability among farmers. Furthermore, similar to any fungicide, these new formulations should be used as part of an integrated pest management strategy to maximize their benefits and minimize their potential drawbacks, such as the development of resistance. Notable advancements are listed in Table 5.
The widespread use of fungicides in agriculture, which are beneficial for controlling fungal diseases, has led to several significant issues. The first is the development of resistance [175,185]. Frequent and over-reliant use of fungicides can result in the evolution of fungal populations that are resistant to these chemicals, thereby reducing their efficacy over time. This phenomenon necessitates the continuous development of new fungicides, which increases the cost and complexity of managing crop diseases [191]. Fungal phytopathogens and their management have various environmental impacts. Here, we summarize the potential effects of the management of fungal phytopathogens in agriculture, particularly through the use of fungicides, and present several environmental challenges and implications [175,192]. Fungicide use can lead to environmental contamination, potentially polluting water sources and harming non-target organisms, including beneficial soil microbes, insects, birds, and mammals [190]. Furthermore, the overuse of these chemicals can result in the development of resistant fungal strains, exacerbating this problem. Therefore, its impact on soil health is a critical issue. In addition, numerous fungi responsible for crop diseases can survive in soil or plant debris, creating a reservoir of diseases for future crops [185]. This affects soil health and limits the variety of crops that can be grown in the same field in subsequent seasons without increasing disease risk [193]. Biodiversity loss is a significant consequence in areas where crops such as sorghum are extensively cultivated. The disease pressures can lead to shifts toward more disease-resistant crops or different crops entirely, potentially reducing agricultural biodiversity. This loss of biodiversity can negatively affect ecosystem stability and resilience [144]. Moreover, the carbon footprint associated with fungal diseases is a growing concern in agriculture. The reduction in yield per hectare necessitates an increased land area for production, which can lead to deforestation or the conversion of natural habitats into agricultural land [194]. In addition, the production and application of fungicides contribute to CO2 emissions. Waste production is another issue in which infected crops that cannot be harvested or sold lead to waste. If this waste is not properly managed, it can exacerbate the spread of the disease [195]. Ecosystem services are also affected by reduced yields and crop losses. Sorghum is often used as a cover crop to prevent soil erosion, promote nutrient cycling, and suppress weeds [196]. The loss of these services due to disease can lead to long-term environmental degradation. Given these diverse and significant impacts, the importance of effective and sustainable disease management strategies has become clear [197]. This may involve the use of crop rotation-integrated pest management organic farming practices, or other methods that balance disease control with environmental sustainability [198].
One example is the development of resistance to triazoles, such as tebuconazole, in Fusarium populations. In a study conducted by Little et al. [182], isolates of Fusarium from sorghum fields were shown to exhibit reduced sensitivity to tebuconazole, resulting in higher disease severity even after fungicide application. Similar resistance issues have been observed in Colletotrichum spp., with certain strains becoming less responsive to strobilurin fungicides like azoxystrobin.
The effect of silicon (Si) on sorghum resistance to anthracnose in resistant (BR005) and susceptible (BR009) lines. Si increased in both lines, but only affected disease severity in the susceptible line, where higher Si levels correlated with reduced disease. Si had little impact on the resistant line [199]. The impact of Si and fungicide on sorghum anthracnose. Calcium silicate (CS) reduced disease severity by 39–42%, while fungicide further decreased it. Si levels in leaves increased with CS, and yields improved by 0.6 ton/ha with CS and 0.48 ton/ha with fungicide. The residual effect of CS in the soil also enhanced Si content and reduced anthracnose in the following season [200]. Si-treated plants showed higher Si deposition at infection sites, smaller acervuli, and increased activity of defense enzymes (peroxidases and polyphenol oxidases), along with higher anthocyanin concentrations. These results suggest that Si not only helps form a physical barrier against Colletotrichum sublineolum but also contributes to biochemical defense mechanisms, improving sorghum’s resistance to anthracnose [201].
The development of new fungicide formulations also considers environmental and health impacts. Modern formulations aim to minimize toxicity and environmental persistence compared to older products. For instance, systemic fungicides like azoxystrobin are designed to be absorbed by plant tissues, reducing runoff into aquatic systems and minimizing non-target organism exposure [202]. Studies indicate that newer fungicide formulations have a lower impact on non-target species, including beneficial insects and soil microorganisms. This is achieved through targeted application methods and improved formulation chemistry that enhances plant uptake while reducing environmental dispersion [203]. The strategic use of multi-site action fungicides like those combining strobilurins with triazoles helps mitigate resistance development. By employing diverse modes of action, these formulations reduce the selective pressure on fungal populations, thereby prolonging the efficacy of available fungicides [204,205].
The development of resistance is primarily driven by the frequent and excessive use of fungicides, which place selective pressure on fungal populations. This phenomenon underscores the importance of integrating fungicide use with other disease management practices to slow resistance development [175]. Moreover, studies have indicated that combining fungicides with biological control agents or cultural practices like crop rotation can mitigate the emergence of resistant strains. For instance, Pothiraj et al. [206] demonstrated that rotating fungicides with different modes of action and integrating resistant sorghum varieties significantly reduced the prevalence of resistant Fusarium strains.
Moreover, the environmental impact of fungicides is not well understood. These chemicals contribute to environmental pollution, affecting not only the targeted fungal pathogens but also non-target organisms. This can lead to decreased biodiversity and disruption of the ecological balance, raising concerns regarding the long-term sustainability of intensive fungicide use [207]. Fungicides such as azoxystrobin and tebuconazole can cause unintended harm to non-target organisms, including beneficial insects, soil microorganisms, and aquatic ecosystems. The long-term environmental consequences of fungicide residues are not fully understood, but studies have indicated that their persistence in soil and water can disrupt local biodiversity. Rizvi et al. [208], highlighted the adverse effects of repeated fungicide applications on soil microbial communities in sorghum fields, leading to altered nutrient cycling and reduced soil health.
Another dimension of the problem involves human health and economic aspects. Health risks are associated with fungicides, especially when they are not used, according to safety guidelines [209]. Exposure to fungicides like captan and maneb can pose health hazards to farmers during application. [210]. The financial burden of purchasing and applying fungicides is particularly pronounced for smallholder farmers. The cost of fungicides such as azoxystrobin or tebuconazole can be prohibitive, limiting access to effective disease control measures [211]. Kumar et al. [212], noted that residues of tebuconazole in sorghum grains exceeded the safe limits set by food safety authorities, posing potential health risks to consumers. This economic barrier may result in inadequate protection against diseases, thereby reducing overall crop productivity. Therefore, fungicides should be part of an integrated disease management strategy. Reliance on fungicides alone is not a sustainable solution; incorporating practices such as crop rotation, the use of resistant varieties like sorghum bicolor hybrid CSH 16, and cultural practices like field sanitation can significantly reduce disease pressure. Combining these methods with judicious fungicide application can enhance disease control while mitigating the risks of resistance, environmental pollution, and health hazards [172].

5.2. Biological Control Measures: Efficacy and Limitations

Biological control measures involve the use of living organisms or their by-products to suppress disease-causing agents, including fungi [173]. In the context of sorghum, specific biological control agents include bacterial species such as Bacillus subtilis and Pseudomonas fluorescens, fungal antagonists like Trichoderma harzianum and Trichoderma viride, and mycoparasitic fungi such as Gliocladium virens [174]. The efficacy of biological control agents in agriculture has several advantages, particularly in terms of disease management and environmental sustainability [176]. These agents can effectively reduce pathogen populations by competing for nutrients, occupying similar ecological niches, or producing pathogen-inhibitory substances, thereby offering a direct and effective means of disease control [177].
Trichoderma is one of the most widely studied genera for biological control in agriculture, including sorghum. Species such as Trichoderma harzianum and Trichoderma viride are known for their ability to suppress soilborne fungal pathogens like Fusarium spp. (causing root rot and seedling blight) and Sporisorium sorghi (causing smut). Trichoderma acts through mechanisms such as mycoparasitism (where it directly attacks fungal pathogens), competition for space and nutrients, and the secretion of secondary metabolites like gliotoxins and chitinases, which inhibit the growth of other fungi [213,214,215]. Trichoderma formulations are typically applied as soil drenches or seed treatments at concentrations ranging from 108 to 109 CFU (colony-forming units) per gram of soil or seed [216,217,218].
Bacillus-based BCAs, particularly Bacillus subtilis, Bacillus amyloliquefaciens, and Bacillus thuringiensis, have shown significant efficacy in controlling foliar and soilborne fungal pathogens in sorghum [219,220]. These bacteria produce antimicrobial peptides, such as bacillomycin and surfactin, which inhibit the growth of pathogens like Colletotrichum sub-lineolum (causing anthracnose) and Alternaria spp. (causing leaf spot). Bacillus-based agents are often applied as foliar sprays or incorporated into soil at concentrations of 106 to 108 CFU per mL or g, respectively [220,221].
Pseudomonas species, such as Pseudomonas fluorescens, are well known for their broad-spectrum antifungal activity, particularly against soilborne fungi like Fusarium and Sporisorium. Pseudomonas spp. produce a range of bioactive compounds, including hydrogen cyanide, phenazines, and proteases, which disrupt fungal growth. They are typically applied as soil drenches or foliar sprays at concentrations similar to Bacillus spp., with doses ranging from 107 to 108 CFU per mL [222,223].

5.3. Efficacy of Biological Control in Sorghum

The effectiveness of biological control agents in sorghum is influenced by several factors, including environmental conditions, the nature of fungal pathogens, and the method of application [224,225].
Efficacy against Fusarium spp.: Trichoderma harzianum has demonstrated significant efficacy in controlling Fusarium spp., which causes Fusarium root rot and seedling blight in sorghum. Studies by Miljaković et al. [226], Showed that the application of T. harzianum as a seed treatment at a concentration of 108 CFU/g effectively reduced Fusarium-induced root rot by up to 70%. Similarly, Bacillus subtilis has been shown to reduce Fusarium-induced blight in sorghum by promoting plant growth and enhancing root development [57].
Efficacy against Sporisorium sorghi (Smut): Biological control of smut in sorghum caused by Sporisorium sorghi has been challenging, but Trichoderma spp. have shown promising results in reducing disease severity. In field trials, T. viride was applied as a soil drench at a rate of 2 kg/ha, significantly reducing smut incidence by up to 50% compared to untreated controls [227,228].
Efficacy against Colletotrichum spp. (Anthracnose): Bacillus subtilis and Pseudomonas fluorescens have demonstrated efficacy in controlling anthracnose in sorghum. P. fluorescens applied as a foliar spray at a concentration of 107 CFU/mL was able to reduce anthracnose severity by up to 60%, according to studies by Wei et al. [57]. Regarding environmental impacts, biological control methods are generally less harmful than chemical controls, significantly reducing chemical residues in the environment and crops, which benefits both ecosystem health and food safety [191]. In addition, biological control can be used to manage fungicide resistance and provide an essential alternative to disease management strategies [182]. Finally, the sustainability of these agents, once established, can provide long-term disease control, thereby contributing to the sustainability of agricultural practices. Collectively, these factors demonstrate the efficacy of biological control methods in promoting healthier crops and a more sustainable agricultural environment [206].
Although they offer sustainable alternatives to chemical pesticides, biological control methods in agriculture have several limitations that affect their effectiveness and adoption [229]. The effectiveness of biological control agents can vary significantly, as they are influenced by environmental conditions, specific pathogens, and the crops involved, a concern highlighted by Segoli et al. [230]. Furthermore, these methods are often slower than their chemical counterparts, making them less effective against rapidly progressing or established diseases [231]. Establishing biological control agents in the field also presents challenges, particularly under unfavorable conditions, and some agents may be costly or difficult to produce and apply [232]. Regulatory challenges, particularly for genetically modified organisms, further complicate the deployment of certain biological agents. Additionally, a lack of awareness and technical expertise among farmers limits the adoption of these strategies [233]. These challenges highlight the need for ongoing research and development, and farmer education programs and extension services are critical to overcoming these barriers and promoting the effective use of biological control measures. Biological control (BC) measures are important components of integrated disease management programs [61]. However, for maximum effectiveness, it must be combined with other strategies, such as cultural practices, resistant cultivars, and chemical controls when necessary. Further research is needed to improve the consistency and scalability of biological control methods. Advances in formulation technologies, such as microencapsulation and biochar-based carriers, and the identification of novel agents with broader environmental adaptability, could enhance the reliability and adoption of biological control strategies in the sorghum production systems [234].

5.4. Crop Rotation and Intercropping: Benefits and Challenges

Crop rotation and intercropping are two important agricultural practices that help manage fungal diseases in sorghum [235]. Crop rotation involves growing different crops in sequential seasons to manage soil health and reduce pest and disease pressure. For sorghum, suitable rotational crops include legumes like soybeans or cowpeas, which fix nitrogen, and cereal crops such as maize or wheat. Intercropping sorghum with crops like peanuts, beans, or sunflowers can help suppress weeds and improve pest control, while cover crops like clover enhance soil fertility [236,237,238,239]. Crop rotation, a fundamental practice in sustainable agriculture, provides multiple benefits that are crucial for maintaining healthy crops and ecosystems [54]. It effectively disrupts the disease cycle by replacing a susceptible crop with a non-host crop, thereby breaking the life cycle of specific pathogens and reducing their populations in the field [126]. In addition, crop rotation significantly enhances soil health, with different crops contributing uniquely, such as adding organic matter and leguminous crops and enriching nitrogen levels through nitrogen-fixing bacteria. This leads to improved soil fertility and structure [240]. Crop rotation plays a pivotal role in pest management by controlling the populations of insects and nematodes, which contributes to the overall health and yield of crops. These collective benefits underscore the importance of crop rotation in promoting ecological balance, reducing reliance on chemical inputs and ensuring sustainable agricultural productivity [241].
Crop rotation is a key sustainable agricultural practice that faces several challenges that hinder its effective implementation. One primary concern is crop selection, which can be particularly challenging in regions with specific climatic or market constraints, necessitating careful consideration of the suitability of each crop [242]. In addition, crop rotation requires meticulous planning and management to ensure that each crop contributes positively to the health and productivity of the soil for subsequent crops [243]. Economic factors also play a crucial role in market demand, and price considerations for rotational crops can significantly influence the decisions of farmers to adopt this practice. These challenges underscore the need for strategic planning that balances environmental, agronomic, and economic considerations to optimize the benefits of crop rotation [244].
Intercropping is the simultaneous growth of two or more crops in the same field. Intercropping offers multiple benefits for sustainable agriculture [245]. Disease suppression is a notable advantage because certain crops in an intercropped system can naturally reduce fungal diseases by altering the microclimate, competing for resources, or producing pathogen-inhibiting substances [58,246]. In addition, the resource use efficiency of the intercropping systems improved. Different crops utilizing various resources, such as sunlight, water, and nutrients, can lead to more efficient overall usage and potentially higher yields [247]. Furthermore, intercropping aids in diversifying pest populations, thereby diminishing the impact of a single pest or disease [248]. This ecological approach to pest and disease management combined with optimized resource utilization underscores intercropping as a powerful strategy for enhancing agricultural productivity and sustainability [249,250].
Intercropping, which is the practice of growing multiple crops in close proximity, poses several challenges. Crop compatibility is a primary concern because certain crop combinations can lead to competition instead of cooperation, potentially diminishing the benefits of intercropping [251]. The complexity of the management of these systems compounds this issue. The differing water, fertilization, and pest management requirements of each crop add complexity to traditional monoculture farming [249]. Furthermore, the harvesting process in intercropping systems (IS) is complex. The labor-intensive nature of harvesting multiple crops, especially when they mature at different times, requires more labor and careful timing [65]. These challenges highlight the need for strategic planning and informed crop selection to implement intercropping effectively. Both crop rotation and intercropping are important components of integrated sorghum disease management strategies. However, they must be adapted to local conditions and carefully managed [41,252].

5.5. Breeding for Disease Resistance: Progress and Potential

Breeding for disease resistance involves the development of sorghum varieties that are resistant or less susceptible to specific fungal diseases [141]. This can be a highly effective and sustainable approach to disease management as it reduces the need for chemical fungicides and can help improve yield and grain quality [97,253]. Recent advancements in sorghum breeding have led to significant progress in the enhancement of disease resistance. Techniques such as marker-assisted and genomic selection have enabled breeders to efficiently identify and select genes or quantitative trait loci linked to disease resistance, thus refining the breeding process [254]. The practical impact of these advancements is evident in the development of new sorghum varieties with resistance to diseases such as anthracnose and downy mildew [255]. Concurrently, there has been a notable increase in our molecular understanding of the interactions between sorghum and its fungal pathogens, which is critical for identifying key resistance genes [157]. This combination of advanced breeding techniques and enhanced molecular knowledge marks a pivotal era in the development of disease-resistant sorghum, paving the way for more resilient agricultural practices [85].
The potential to enhance disease resistance in sorghum is driven by cutting-edge technologies and genetic resources. Genome editing, particularly using CRISPR/Cas9, offers a revolutionary approach for precise genetic modifications, enabling the targeted enhancement of disease resistance [42,256]. Complementing this, the significant genetic diversity within sorghum, including various landraces and wild relatives, provides a rich source for breeding disease-resistant varieties [257]. In addition, advancements in computational biology and machine learning have ushered in an era of predictive breeding and accelerated the development of resistant strains by analyzing vast datasets to predict the most effective breeding strategies [258]. Collectively, these approaches represent a multifaceted and promising pathway toward developing robust, disease-resistant sorghum crops, aligning technological innovation with the rich genetic heritage of the plant [259].
The development of disease-resistant crops is a challenge in agricultural science. Resistance durability is a primary concern, as pathogens can evolve to overcome genetic resistance, particularly if they rely on a single gene [260]. This is compounded by the complexity of breeding for resistance, especially for diseases controlled by multiple genes or quantitative trait loci, which is intricate and demanding [261]. In addition, the adoption of these resistant varieties by farmers is hindered by factors such as seed availability, cost, and preference for specific crop traits [262]. These challenges highlight the need for a multifaceted approach to agricultural research and practice that encompasses the biological aspects of resistance breeding and addresses the socioeconomic factors influencing crop adoption [263]. Disease resistance breeding is an important component of integrated sorghum disease management. Continued investment in research and development, extension services to promote the adoption of resistant varieties, and policies to support seed systems are crucial for realizing the full potential of this approach [188,264].
Genetic and genomic studies have played pivotal roles in breeding disease-resistant sorghum. They provide new insights into the genetic architecture of resistance traits and aid in the precise identification and manipulation of these traits in Table 6. Genetic tools are revolutionizing crop breeding for disease resistance. They provide new opportunities to increase the efficiency and precision of breeding programs, helping to develop new sorghum varieties that are more resilient to fungal diseases. However, it is also important to consider that the effective use of these tools requires significant resources and expertise and that developing and adopting genetically modified or genome-edited crops may face regulatory and acceptance challenges in some regions. Recent studies have identified several key genetic loci associated with anthracnose resistance in sorghum. For instance, a genome-wide association study (GWAS) identified 38 loci significantly associated with anthracnose resistance, including genes encoding receptor-like kinases and nucleotide-binding leucine-rich repeats (NLRs), which are crucial for disease resistance [265]. Another study characterized a specific anthracnose resistance gene2 (ARG2), which plays a critical role in orchestrating defense responses against early anthracnose infection [266].

6. Advances in Research and Fungal Phytopathogen Management

6.1. Advances in Sorghum Breeding for Disease Resistance: MAS, CRISPR, and Transformation

These findings are being integrated into breeding programs to develop sorghum varieties with enhanced resistance. The use of marker-assisted selection (MAS) is particularly promising as it allows for the precise introgression of these resistance genes into susceptible sorghum varieties. This approach is supported by the identification of significant marker–trait associations that facilitate the selection of resistant genotypes [273]. Research efforts continue to explore the potential of CRISPR/Cas9 for developing resistant sorghum strains. These projects aim to target specific susceptibility genes and enhance the expression of resistance-related genes, leveraging the technology’s ability to introduce targeted mutations efficiently [274]. Recent advancements in plant transformation techniques have significantly improved the ability to introduce desirable traits into monocot crops, including sorghum. A notable example is the use of maize genes Baby Boom (Bbm) and Wuschel2 (Wus2), which have been shown to enhance transformation efficiencies in previously non-transferable maize inbred lines. This approach has been successfully extended to other monocots like sorghum, where the expression of these genes in immature embryos has facilitated the recovery of transgenic plants [275].

6.2. Predictive Modeling and Digital Agriculture: Role in Early Warning and Disease Management

Digital agriculture tools have emerged as essential in managing fungal diseases in sorghum, employing technologies such as predictive modeling, remote sensing, and IoT devices for early warning, detection, and management [276,277]. Predictive modeling and digital agriculture have significantly reshaped crop disease management, particularly in sorghum farming. Understanding the transformative impact of these technologies will enable early warning systems and the proactive management of fungal diseases, thereby considerably diminishing their adverse effects on crops [278,279]. These advancements facilitate early detection and intervention, which are crucial for preventing the escalation of diseases and reducing potential crop losses [280]. It further elaborated on the intricacies of predictive modeling, a technique that employs statistical methods and computational algorithms to forecast disease outbreaks [281]. Predictive models offer precise predictions of the likelihood of disease occurrence by analyzing a range of factors, including weather conditions, crop growth stages, and historical patterns of disease incidence [282]. This integration of predictive modeling into digital agriculture is equipped with sophisticated tools for efficient and effective disease management, paving the way for healthier crops and enhancing agricultural productivity [283]. This shift toward data-driven and responsive farming practices marks a significant advancement in agricultural technology and disease management strategies.
Early warning systems and optimized interventions are transforming the landscape of agricultural disease management. Emphasizing the importance of predictive models in offering early warnings regarding potential disease risks enables farmers to implement preventative measures before diseases become widespread [284]. This proactive approach is crucial for maintaining crop health and reducing disease outbreak severity [285]. These models can facilitate targeted and timely interventions by accurately forecasting the likelihood of disease occurrence in specific areas and at specific times [286]. This ensures more effective disease control and also significantly reduces the costs and environmental impacts associated with the excessive or misdirected use of treatments, such as fungicides [287]. In summary, the integration of warning systems and optimized interventions through predictive models is a significant step forward in making agricultural disease management more efficient, cost-effective, and environmentally sustainable. However, challenges such as data accuracy, access to technology, and farmer literacy remain challenging. Continued research and development, along with supportive policies, are crucial for overcoming these challenges and realizing the full potential of digital agriculture in managing fungal diseases in sorghum [288,289].

6.3. Fungal Phytopathogen Management Through Digital Agriculture

Digital agriculture encompasses various technologies that collect, process, and analyze data to guide decision making in agriculture. Remote sensing, precision agriculture, and farm management systems represent technological revolutions in agriculture, particularly disease management [290]. They emphasize the role of remote sensing technologies, such as drones, satellite imaging, and sensors, which enable real-time monitoring of crop health and environmental conditions, and provide critical data for early disease detection and prediction [291]. Complementing this illustrates advancements in precision agriculture, especially the use of variable rate technology. Variable rate technology allows for the tailored application of fungicides based on specific disease severity in different field areas, thereby enhancing disease control while minimizing resource wastage [292]. In addition, we focused on the integration capabilities of farm management systems (FMS). These digital platforms consolidate data from diverse sources, offer decision support through alerts of high disease risk, and provide recommendations for effective management [293]. Collectively, these innovative technologies mark a significant leap in agricultural practices, enhancing the efficiency, sustainability, and responsiveness of disease management in farming [294].
Data-driven decisions and reduced inputs are key components in revolutionizing agricultural disease management through digital agriculture (DA). This highlights the significant role of digital agriculture in facilitating data-driven decision making [295]. By offering accurate, timely, and localized data, digital technologies enable farmers to make informed decisions, thus enhancing the effectiveness and efficiency of disease management strategies [296]. This approach allows for the precise targeting of diseases, optimization of treatment plans, and improvement of overall crop health [297]. Concurrently, the benefits of precision application of fungicides and other agricultural inputs are enabled by digital technologies. This precision application significantly reduces the total quantity of inputs required, thereby lowering both the costs for farmers and the environmental impact [298]. The reduced use of inputs contributes to economic savings and aligns with sustainable agricultural practices. Collectively, these advancements in digital agriculture represent a major step toward creating sustainable, efficient, and effective disease management strategies [189]. However, promising predictive modeling and digital agriculture also face challenges. These include the accuracy of model access to data, technological digital literacy among farmers, and issues related to data privacy and ownership [299]. Continued research and development, capacity building, and supportive policies are needed to overcome these challenges and realize the full potential of these technologies for managing fungal diseases in sorghum and other crops.

7. Future Directions and Opportunities

7.1. Potential Improvements in Fungal Phytopathogen Management Strategies

The future of managing fungal diseases in sorghum appears promising with the convergence of various scientific and technological advancements [156]. Although these improvements hold great promise, their successful implementation requires continued investment in research and development, capacity building among farmers and extension workers, supportive policies, and institutional environments. Potential improvements in fungal phytopathogen management strategies are listed in Table 7.

7.2. Role of Technology and Digital Transformation in Improving Disease Detection and Management

The roles of technology and digital transformation in improving disease detection and management are continuously evolving. They offer significant potential for the early detection of diseases, more precise interventions, and improved decision-making [308,309]. However, challenges must be overcome to fully leverage the potential of technology and digital transformation. These include the digital divide, data privacy, security concerns, and the need for digital literacy among farmers. Integrating these technologies into coherent, user-friendly, and affordable solutions is an ongoing area of innovation and development. Key areas in which technology makes a difference are listed in Table 8.

7.3. Policy Recommendations for Supporting Farmers and Research in Disease Management

Policies play a crucial role in successfully managing fungal diseases in sorghum [318]. This can create an enabling environment for research, innovation, and the adoption of effective disease management practices. The following are some key policy recommendations [319]. Support from research and development is crucial for combating fungal diseases that affect agriculture. This emphasizes the need to increase public research and development investment [320]. This investment should cover a broad spectrum, including basic research to deepen the understanding of these diseases, applied research to tackle practical challenges, and the development of innovative technologies and solutions [321]. Furthermore, fostering collaboration and knowledge sharing among diverse stakeholders, such as researchers, farmers, and extension workers, is essential [322]. Such collaboration ensures that the research addresses the real needs of farmers, and that the results are effectively communicated and implemented in the field. This holistic approach can lead to more effective and sustainable management strategies for fungal diseases, thereby benefiting global agriculture [29,185,323].
Extension services and farm training are pivotal in enhancing agricultural productivity and sustainability. This highlights the importance of strengthening extension services [324]. These services are crucial for delivering timely, accurate, and localised information to farmers and guiding them toward effective disease management strategies. This involves disseminating knowledge and providing practical advice tailored to specific local conditions [325]. In addition, they advocate for significant investments in farmer training programs. Such programs are essential for equipping farmers with advanced knowledge and skills. The key focus areas include disease recognition, integrated pest management, precision agriculture, and other relevant practices [21,294]. Through these programs, farmers can learn how to apply innovative and efficient methods to their farming practices, leading to improved crop health and yield. Robust extension services and comprehensive farmer training can substantially contribute to the resilience and advancement of the agricultural sector [326].
Access to inputs and technologies is essential for empowering farmers, especially in managing and mitigating the effects of diseases on crops. Establishing effective seed systems is vital for ensuring the availability and accessibility of disease-resistant sorghum varieties [264]. These varieties can significantly enhance the resilience of sorghum crops to various diseases, thereby providing a staple food source in numerous regions [156]. Emphasis should be placed on the importance of facilitating farmers’ access to essential inputs and technologies. This includes easy access to fungicides and biocontrol agents, which are critical for disease management [70,327]. Moreover, introducing farmers to digital agricultural technologies can revolutionize their monitoring and management of crop health, leading to more precise and effective disease control [300].
We propose considering incentives or subsidies to encourage the adoption of sustainable and innovative disease management practices and technologies. This approach is essential for smallholder farmers who lack the resources to invest in advanced technologies [305,328]. By offering financial support or incentives, farmers can adopt more sustainable and effective disease management strategies to improve crop yield and overall livelihood. Overall, ensuring access to the right inputs and technologies is a key step toward sustainable agriculture and food security [329].
Regulatory policies in agriculture are vital for safeguarding both the environment and the efficacy of farming practices [330]. This emphasizes the need for science-based regulations to register and use inputs, such as fungicides, biocontrol agents, and genetically modified or genome-edited crops. These regulations ensure the safety and effectiveness of these technologies, thereby protecting both agricultural output and ecosystems [331]. This highlights the importance of data privacy and security policies in digital agricultural technologies. Such policies are essential for protecting the data of farmers, building trust, and facilitating the adoption of advanced technologies [332]. Collectively, these regulatory measures play a critical role in maintaining a sustainable, efficient, and safe agricultural sector that benefits farmers and the broader community [333].
Climate change and sustainability are critical factors that shape agricultural disease management strategies. We stress the importance of incorporating climate change considerations into these strategies, acknowledging that changing climatic conditions can significantly alter disease dynamics, thereby affecting the effectiveness of current management practices [334,335,336]. Advocates promote sustainable disease management practices, particularly for sorghum production. These practices should focus on reducing the reliance on chemical fungicides, which, while effective in the short term, can have detrimental environmental effects over time [248]. Emphasis should instead be placed on enhancing the resilience of crop production systems through sustainable methods such as biocontrol agent-integrated pest management and the development of disease-resistant varieties [45]. This approach ensures effective disease control as well as promotes environmental sustainability by addressing the challenges posed by climate change and securing the future of agriculture [337,338].
Economic and social policies are essential for reinforcing the sustainability and resilience of sorghum farming in the face of various challenges, including disease management. This highlights the importance of policies supporting the economic viability of sorghum farming [339]. These include implementing price-support mechanisms, providing crop insurance, and facilitating access to credit. Such policies can significantly enhance the ability of farmers to manage diseases effectively and mitigate potential financial losses from crop diseases [340]. Financial support is crucial for stabilizing the incomes of farmers and ensuring the continuity of farming operations.
In addition, it emphasizes the need for social policies that address broader social dimensions within the agricultural sector. These policies should focus on issues related to labor, gender, youth, and other social factors that influence the capacity and motivation of individuals engaged in sorghum farming [341]. By addressing these social dimensions, policies can create a more inclusive and supportive environment for all participants in the agricultural sector. This approach aids disease management as well as contributes to the overall development and sustainability of agricultural communities [342]. Collectively, these economic and social policies form a comprehensive support system that strengthens the resilience and productivity of sorghum farming, benefiting both farmers and the wider society. These policy recommendations aim to create an enabling environment for effective and sustainable sorghum disease management. However, it is important to note that policy development and implementation should be context-specific, considering local agricultural systems, socio-economic conditions, and institutional capacities. Moreover, stakeholder involvement and policy coherence across sectors and governance levels are critical to the success of these policies.

8. Conclusions

Fungal diseases in sorghum production pose significant challenges to agricultural productivity, food security, and livelihoods of farming communities globally. Advancements in technology, research, and innovative disease management strategies have provided substantial opportunities for improvement. An integrated disease management approach that combines traditional practices, such as crop rotation and intercropping, with modern techniques, such as using disease-resistant varieties, biological control, and precise fungicide applications, is pivotal. Implementing these strategies, backed by ongoing research and development in genomics, predictive modeling, and digital agriculture, can significantly bolster the fight against fungal diseases. Technology and digital transformation are instrumental in improving disease detection and management through remote sensing, IoT devices, predictive modeling and precision agriculture technologies, enabling more efficient, effective, and environmentally friendly disease management with early warning systems, precise interventions, and improved decision-making. Policy support is equally vital. Governments should support research and development, strengthen extension services, facilitate access to necessary inputs and technologies, and implement effective regulatory policies that respond to climate change challenges while supporting the economic and social well-being of farming communities. Although fungal diseases in sorghum remain a significant concern, the combined efforts of researchers, farmers, policymakers, and other stakeholders could effectively manage these diseases. By leveraging scientific and technological advancements, improving disease management practices, and providing enabling policies and institutional support, the resilience of sorghum production systems can be enhanced, thereby contributing to food security and sustainable rural development.

Author Contributions

Conceptualization, M.A.K., M.M.N., E.T. and Y.W.; methodology, M.A.K.; software, E.T., D.D. and M.M.N.; validation, Y.W. and S.-W.Y.; formal analysis, M.A.K.; investigation, M.A.K. and M.M.N.; resources, Y.W.; data curation, M.A.K.; writing—original draft preparation, M.A.K., M.M.N. and E.T.; writing—review and editing, M.A.K., R.A.K., G.M.-U.-D. and Y.W.; visualization, R.A.K., S.N. and M.-J.R.; supervision, Y.W.; project administration, Y.W.; funding acquisition, Y.W. All authors have read and agreed to the published version of the manuscript.

Funding

This research is supported by the following projects: National Natural Science Foundation of China, (No. 31972222, 31660011); Program of Introducing Talents of Discipline to Universities of China, (111 Program, D20023); Talent project of Guizhou Science and Technology Cooperation Platform, (2017-5788-5, 2019-5641, 2019-13, 2024-009); Guizhou Science, Technology Department of International Cooperation Base project, (2018-5806); the project of Guizhou Provincial Education Department, (2020-001); Guizhou Provincial Science and Technology Department Platform Project (Grant No. YWZ [2024] 004; Guizhou University Cultivation Program (Grant No. [2019] 13); and Guizhou Science and Technology Innovation Talent Team Project (2020-5001). This research was also funded by the China Postdoctoral Foundation (NSC No. 334838) and the construction of high-quality and efficient mechanized scientific and technological innovation talent team of characteristic coarse cereals in Guizhou Province (qiankehepingtairencai-BQW, 2024-009); Research and integrated application of key technologies of green and high yield in characteristic mountain agriculture (guidalingjunhezi, 2023-07). The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

We would like to extend our heartfelt appreciation to the editors and reviewers who dedicated their time, expertise, and critical insights to reviewing and improving the quality of this work. We also offer our deepest gratitude and appreciation to the Human Resource (HR) Department of Guizhou University, Government of China, for providing financial support through the China Postdoctoral Fellowship program.

Conflicts of Interest

The authors declare that they have no competing interests.

References

  1. Medraoui, L.; Rabeh, K.; Ater, M.; Filali-Maltouf, A. Genetic diversity analysis of sorghum (Sorghum bicolor L. Moench) landraces from northwestern Morocco using ISSR and AFLP markers. Genet. Resour. Crop Evol. 2024, 71, 835–850. [Google Scholar] [CrossRef]
  2. Kazungu, F.K.; Muindi, E.M.; Mulinge, J.M. Overview of sorghum (Sorghum bicolor L.), its economic importance, ecological requirements and production constraints in Kenya. Int. J. Plant Soil Sci. 2023, 35, 62–71. [Google Scholar] [CrossRef]
  3. Assefa, Y.; Holman, J.D.; Obour, A.K.; O’Brien, D.; Prasad, P.V.V. Historic grain sorghum production, value, yield gap, and weather relation trends. Agronomy 2024, 14, 2582. [Google Scholar] [CrossRef]
  4. FAO. Agricultural Production Statistics. 2023. Available online: https://openknowledge.fao.org (accessed on 10 January 2024).
  5. Mundia, C.W.; Secchi, S.; Akamani, K.; Wang, G. A regional comparison of factors affecting global sorghum production: The case of North America, Asia and Africa’s Sahel. Sustainability 2019, 11, 2135. [Google Scholar] [CrossRef]
  6. Weng, W.; Yan, J.; Zhou, M.; Yao, X.; Gao, A.; Ma, C.; Cheng, J.; Ruan, J. Roles of arbuscular mycorrhizal fungi as a biocontrol agent in the control of plant diseases. Microorganisms 2022, 10, 1266. [Google Scholar] [CrossRef]
  7. Dutta, G.; Paramanik, B.; Bhabai, B.; Layek, J.; Choudhury, A.; Dutta, S.; Bhattacharjee, S.; Rahman, F.H. Climate change impacts and adaptation strategies for agronomic crops. In Climate Change Impacts on Soil-Plant-Atmosphere Continuum; Springer: Berlin/Heidelberg, Germany, 2024; pp. 383–404. [Google Scholar] [CrossRef]
  8. Abegaz, S.B. Local sorghum (Sorghum bicolor (L.) Moench) on-farm genetic diversity status and possible determinants from wollo lowland areas, northeastern Ethiopia. Agrosyst. Geosci. Environ. 2024, 7, e20518. [Google Scholar] [CrossRef]
  9. Pragya; Sharma, K.K.; Kumar, A.; Singh, D.; Kumar, V.; Singh, B. Immobilized phytases: An overview of different strategies, support material, and their applications in improving food and feed nutrition. Crit. Rev. Food Sci. Nutr. 2023, 63, 5465–5487. [Google Scholar] [CrossRef]
  10. Johansson, E.; Kuktaite, R.; Labuschagne, M.; Lama, S.; Lan, Y.; Nakimbugwe, D.; Repo-Carrasco-Valencia, R.; Tafesse, F.; Tesfaye, K.; Vazquez, D. Adaptation to abiotic stress factors and their effects on cereal and pseudocereal grain quality. In Developing Sustainable and Health Promoting Cereals and Pseudocereals; Elsevier: Amsterdam, The Netherlands, 2023; pp. 339–358. [Google Scholar] [CrossRef]
  11. Novotni, D.; Gamel, T.H.; Helou, C.; Rocha, J.M. Transferring theoretical principles into practical applications: Cereals, pseudocereals, and their applications in breadmaking and other agri-food. In Developing Sustainable and Health Promoting Cereals and Pseudocereals; Elsevier: Amsterdam, The Netherlands, 2023; pp. 399–431. [Google Scholar] [CrossRef]
  12. Rameez, M.; Khan, N.; Ahmad, S.; Ahmad, M.M. Bio nanocomposites: A new approach for fungal disease management. Biocatal. Agric. Biotechnol. 2024, 2024, 103115. [Google Scholar] [CrossRef]
  13. Mubarak Alqahtani, A. Sweet sorghum and bagasse: A comprehensive review of feedstock traits, conversion processes, and economic viability for bioethanol and biogas production. Biofuels 2024, 15, 575–585. [Google Scholar] [CrossRef]
  14. Tripathi, M.K.; Jadam, R.S.; Kumar, A. Quality management system in millet and sorghum. In Millets and Millet Technology; Springer: Singapore, 2021; pp. 363–379. [Google Scholar] [CrossRef]
  15. Zarei, M.; Amirkolaei, A.K.; Trushenski, J.T.; Sealey, W.M.; Schwarz, M.H.; Ovissipour, R. Sorghum as a potential valuable aquafeed ingredient: Nutritional quality and digestibility. Agriculture 2022, 12, 669. [Google Scholar] [CrossRef]
  16. Srivastava, P.; Sangeetha, C.; Baskar, P.; Mondal, K.; Bharti, S.D.; Singh, B.V.; Agnihotri, N. Unleashing the potential of millets promoting nutritious grains as vital cereal staples during the international year of millets: A review. Int. J. Plant Soil Sci. 2023, 35, 1860–1871. [Google Scholar] [CrossRef]
  17. Sileshi, G.W.; Dagar, J.C.; Akinnifesi, F.K.; Mng’omba, S.A. Potentials of indigenous fruit trees in enhancing nutrition, income and biodiversity conservation in African agroforestry. In Agroforestry for Sustainable Intensification of Agriculture in Asia and Africa; Springer: Berlin/Heidelberg, Germany, 2023; pp. 321–361. [Google Scholar] [CrossRef]
  18. Albahri, G.; Alyamani, A.A.; Badran, A.; Hijazi, A.; Nasser, M.; Maresca, M.; Baydoun, E. Enhancing essential grains yield for sustainable food security and bio-safe agriculture through latest innovative approaches. Agronomy 2023, 13, 1709. [Google Scholar] [CrossRef]
  19. Yan, P.; Song, Y.-H.; Zhang, K.-Y.; Zhang, F.; Tang, Y.-J.; Zhao, X.-N.; Wang, N.; Ke, F.-L.; Gao, F.-J.; Li, J.-H. Interaction of genotype-ecological type-plant spacing configuration in sorghum (Sorghum bicolor (L.) Moench] in china. Front. Plant. Sci. 2023, 13, 1076854. [Google Scholar] [CrossRef] [PubMed]
  20. Periakaruppan, R.; Palanimuthu, V.; Abed, S.A.; Danaraj, J. New perception about the use of Nano fungicides in sustainable agriculture practices. Arch. Microbiol. 2023, 205, 4. [Google Scholar] [CrossRef]
  21. Nath, S. A vision of precision agriculture: Balance between agricultural sustainability and environmental stewardship. Agron. J. 2024, 116, 1126–1143. [Google Scholar] [CrossRef]
  22. Sorghum Market Size, Share & Trends Analysis Report by Type (Grain Sorghum, Forage Sorghum, Biomass Sorghum, Sweet Sorghum), by End-Use (b2b, b2c), by Region, and Segment Forecasts. 2024–2030. Available online: https://www.grandviewresearch.com/industry-analysis/sorghum-market-report (accessed on 24 December 2024).
  23. Mayank, C. Millet Market Size, Share & Industry Analysis, by Millet Types (Finger Millet, Pearl Millet, Foxtail Millet, Sorghum), by Form (Whole Seeds, Flour), by Application (Bakery & Confectionary, Snacks & Flakes & Cereals, Ready to Cook (Noodles & Pasta, Porridge) and Regional Analysis. 2024–2031. Available online: https://www.kingsresearch.com/millet-market-568 (accessed on 24 December 2024).
  24. Alston, J.M.; G Pardey, P.; Rao, X. Payoffs to a half century of CGIAR research. Am. J. Agric. Econ. 2022, 104, 502–529. [Google Scholar] [CrossRef]
  25. De Almeida Moreira, B.R.; Hine, D.; Godwin, I.; Yadav, S. Sorghum Straw Pellets: A Dispatch Able Energy Source for Australia’s Renewable Energy Transition. 2024. Available online: https://ssrn.com/abstract=4748400 (accessed on 28 October 2024).
  26. Rizvi, A.; Ahmed, B.; Umar, S.; Khan, M.S. Comprehensive insights into sorghum (Sorghum bicolor) defense mechanisms unveiled: Plant growth-promoting rhizobacteria in combating Burkholderia-induced bacterial leaf stripe disease. Plant Stress 2024, 11, 100397. [Google Scholar] [CrossRef]
  27. Laidig, F.; Feike, T.; Klocke, B.; Macholdt, J.; Miedaner, T.; Rentel, D.; Piepho, H. Yield reduction due to diseases and lodging and impact of input intensity on yield in variety trials in five cereal crops. Euphytica 2022, 218, 150. [Google Scholar] [CrossRef]
  28. Benjamin, J.; Idowu, O.; Babalola, O.K.; Oziegbe, E.V.; Oyedokun, D.O.; Akinyemi, A.M.; Adebayo, A. Cereal production in Africa: The threat of certain pests and weeds in a changing climate—A review. Agric. Food Secur. 2024, 13, 18. [Google Scholar] [CrossRef]
  29. Pérez-Pizá, M.C.; Sautua, F.J.; Szparaga, A.; Bohata, A.; Kocira, S.; Carmona, M.A. New tools for the management of fungal pathogens in extensive cropping systems for friendly environments. Crit. Rev. Plant Sci. 2024, 43, 63–93. [Google Scholar] [CrossRef]
  30. Koima, I.N.; Kilalo, D.C.; Orek, C.O.; Wagacha, J.M.; Nyaboga, E.N. Identification and characterization of Colletotrichum species causing sorghum anthracnose in Kenya and screening of sorghum germplasm for resistance to anthracnose. J. Fungi 2023, 9, 100. [Google Scholar] [CrossRef]
  31. Diatta, C.; Tovignan, T.K.; Sine, B.; Ifie, B.E.; Faye, J.M.; Diatta-Holgate, E.; Sylla, F.A.; Bodian, S.; Aidara, O.; Danquah, E.Y. Farmers’ production constraints, preferred varietal traits and perceptions on sorghum grain mold in Senegal. Heliyon 2024, 10, e30221. [Google Scholar] [CrossRef] [PubMed]
  32. Wenndt, A.; Boyles, R.; Ackerman, A.; Sapkota, S.; Repka, A.; Nelson, R. Host determinants of fungal species composition and symptom manifestation in the sorghum grain mold disease complex. Plant Dis. 2023, 107, 315–325. [Google Scholar] [CrossRef] [PubMed]
  33. Martín, I.; Gálvez, L.; Guasch, L.; Palmero, D. Fungal pathogens and seed storage in the dry state. Plants 2022, 11, 3167. [Google Scholar] [CrossRef] [PubMed]
  34. Muhammad, F.; Shafique, M.; Khan, M.D. Understanding the interactions between plants and pathogenic microorganisms and their impact on plant health and productivity. Indus J. Biosci. Res. 2023, 1, 23–28. [Google Scholar]
  35. Stukenbrock, E.; Gurr, S. Address the growing urgency of fungal disease in crops. Nature 2023, 617, 31–34. [Google Scholar] [CrossRef]
  36. Sulaiman, M.A.; Bello, S.K. Biological control of soil-borne pathogens in arid lands: A review. J. Plant Dis. Prot. 2024, 131, 293–313. [Google Scholar] [CrossRef]
  37. Dahir, M.; Abera, M.; Abdullahi, H. Management of covered kernel smut (Sporisorium sorghi) disease of sorghum (Sorghum bicolor) at gabilley district in Somaliland. Int. J. Phytopathol. 2023, 12, 283–294. [Google Scholar] [CrossRef]
  38. Mwangi, R.W.; Mustafa, M.; Charles, K.; Wagara, I.W.; Kappel, N. Selected emerging and reemerging plant pathogens affecting the food basket: A threat to food security. J. Agric. Food Res. 2023, 14, 100827. [Google Scholar] [CrossRef]
  39. Tanwar, R.; Panghal, A.; Chaudhary, G.; Kumari, A.; Chhikara, N. Nutritional, phytochemical and functional potential of sorghum: A review. Food Chem. Adv. 2023, 3, 100501. [Google Scholar] [CrossRef]
  40. De Nijs, E.; Maas, L.; Bol, R.; Tietema, A. Assessing the potential of co-composting rose waste as a sustainable waste management strategy: Nutrient availability and disease control. J. Clean. Prod. 2023, 399, 136685. [Google Scholar] [CrossRef]
  41. Fatondji, D.; Ajeigbe, H.A.; Ibrahim, A. Modern crop management practices for pearl millet cultivation in semi-arid Africa. In Pearl Millet in the 21st Century: Food-Nutrition-Climate Resilience-Improved Livelihoods; Springer: Singapore, 2024; pp. 445–477. [Google Scholar] [CrossRef]
  42. Ali, M.A.; Abdellah, I.M.; Eletmany, M.R. Towards sustainable management of insect pests: Protecting food security through ecological intensification. Int. J. Chem. Biochem. Sci. 2023, 24, 386–394. [Google Scholar]
  43. Khatri, P.; Kumar, P.; Shakya, K.S.; Kirlas, M.C.; Tiwari, K.K. Understanding the intertwined nature of rising multiple risks in modern agriculture and food system. Environ. Dev. Sustain. 2023, 26, 24107–24150. [Google Scholar] [CrossRef]
  44. Diancoumba, M.; Kholová, J.; Adam, M.; Famanta, M.; Clerget, B.; Traore, P.C.; Weltzien, E.; Vacksmann, M.; McLean, G.; Hammer, G.L. APSIM-based modeling approach to understand sorghum production environments in Mali. Agron. Sustain. Dev. 2024, 44, 25. [Google Scholar] [CrossRef]
  45. Yadav, S.S.; Arya, A.; Singh, V.; Singh, Y. Elicitation of native bio protective microbial agents associated systemic defense responses and plant growth promotion against bacterial stalk rot pathogen in sorghum (Sorghum bicolor). Phytopathol. Res. 2023, 5, 47. [Google Scholar] [CrossRef]
  46. Liu, J.; Wang, M.; Yang, L.; Rahman, S.; Sriboonchitta, S. Agricultural productivity growth and its determinants in south and southeast Asian countries. Sustainability 2020, 12, 4981. [Google Scholar] [CrossRef]
  47. Demarco, P.A.; Mayor, L.; Rotundo, J.L.; Prasad, P.V.; Morris, G.P.; Fernandez, J.A.; Tamagno, S.; Hammer, G.; Messina, C.D.; Ciampitti, I.A. Retrospective study in us commercial sorghum breeding: II. Physiological changes associated to yield gain. Crop Sci. 2023, 63, 867–878. [Google Scholar] [CrossRef]
  48. USDA-NASS. Crop Production 2022 Summary. 2022. Available online: https://www.nass.usda.gov/Quick_Stats/index.php (accessed on 15 January 2024).
  49. Raymundo, R.; Mclean, G.; Sexton-Bowser, S.; Lipka, A.E.; Morris, G.P. Crop modeling suggests limited transpiration would increase yield of sorghum across drought-prone regions of the United States. Front. Plant. Sci. 2024, 14, 1283339. [Google Scholar] [CrossRef]
  50. Khalifa, M.; Eltahir, E.A. Assessment of global sorghum production, tolerance, and climate risk. Front. Sustain. Food Syst. 2023, 7, 1184373. [Google Scholar] [CrossRef]
  51. Kessler-Mathieu, M.S.; Tilley, M.; Prakash, S.; Bean, S.R.; Peiris, K.H.; Aramouni, F.M. Taqman-based duplex real-time PCR approach for analysis of grain composition (Zea mays-Sorghum bicolor) in feedstock flour mixes for bioethanol production. ACS Agric. Sci. Technol. 2023, 3, 232–240. [Google Scholar] [CrossRef]
  52. Górska-Warsewicz, H.; Rejman, K.; Ganczewski, G.; Kwiatkowski, B. Economic importance of nutritional and healthy cereals and/or cereal products. In Developing Sustainable and Health Promoting Cereals and Pseudocereals; Elsevier: Amsterdam, The Netherlands, 2023; pp. 433–450. [Google Scholar] [CrossRef]
  53. Lamichhane, J.R.; Alletto, L.; Cong, W.-F.; Dayoub, E.; Maury, P.; Plaza-Bonilla, D.; Reckling, M.; Saia, S.; Soltani, E.; Tison, G. Relay cropping for sustainable intensification of agriculture across temperate regions: Crop management challenges and future research priorities. Field Crops Res. 2023, 291, 108795. [Google Scholar] [CrossRef]
  54. Yang, X.; Xiong, J.; Du, T.; Ju, X.; Gan, Y.; Li, S.; Xia, L.; Shen, Y.; Pacenka, S.; Steenhuis, T.S. Diversifying crop rotation increases food production, reduces net greenhouse gas emissions and improves soil health. Nat. Commun. 2024, 15, 198. [Google Scholar] [CrossRef] [PubMed]
  55. Turner, M.K. Challenges and opportunities in managing diseases in no-till farming systems. In No-Till Farming Systems for Sustainable Agriculture: Challenges and Opportunities; Springer: Cham, Switzerland, 2020; pp. 141–154. [Google Scholar] [CrossRef]
  56. Jinger, D.; Kaushal, R.; Kumar, R.; Paramesh, V.; Verma, A.; Shukla, M.; Chavan, S.B.; Kakade, V.; Dobhal, S.; Uthappa, A.R. Degraded land rehabilitation through agroforestry in India: Achievements, current understanding, and future prospectives. Front. Ecol. Evol. 2023, 11, 1088796. [Google Scholar] [CrossRef]
  57. Wei, G.; Zhao, W.; Hu, A.; Ren, M.; Huang, Y.; Xu, H. Identification of a new pathogenic fungi causing sorghum leaf spot disease and its management using natural product and microorganisms. Microorganisms 2023, 11, 1431. [Google Scholar] [CrossRef]
  58. Begam, A.; Pramanick, M.; Dutta, S.; Paramanik, B.; Dutta, G.; Patra, P.S.; Kundu, A.; Biswas, A. Inter-cropping patterns and nutrient management effects on maize growth, yield and quality. Field Crops Res. 2024, 310, 109363. [Google Scholar] [CrossRef]
  59. Fetene, D.Y. Review of the rice blast diseases (Pyricularia oryzae) response to nitrogen and silicon fertilizers. Int. J. Res. Stud. Agric. Sci. 2019, 5, 37–44. [Google Scholar] [CrossRef]
  60. Angon, P.B.; Mondal, S.; Jahan, I.; Datto, M.; Antu, U.B.; Ayshi, F.J.; Islam, M.S. Integrated pest management (IPM) in agriculture and its role in maintaining ecological balance and biodiversity. Adv. Agric. 2023, 2023, 5546373. [Google Scholar] [CrossRef]
  61. Tonle, F.B.; Niassy, S.; Ndadji, M.M.; Tchendji, M.T.; Nzeukou, A.; Mudereri, B.T.; Senagi, K.; Tonnang, H.E. A road map for developing novel decision support system (DSS) for disseminating integrated pest management (IPM) technologies. Comput. Electron. Agric. 2024, 217, 108526. [Google Scholar] [CrossRef]
  62. Archer, L.; Crane, J.H.; Albrecht, U. Trunk injection as a tool to deliver plant protection materials—An overview of basic principles and practical considerations. Horticulturae 2022, 8, 552. [Google Scholar] [CrossRef]
  63. Baker, B.P.; Green, T.A.; Loker, A.J. Biological control and integrated pest management in organic and conventional systems. Biol. Control. 2020, 140, 104095. [Google Scholar] [CrossRef]
  64. Gunny, A.A.N.; Leem, S.J.; Makhtar, M.M.Z.; Zainuddin, N.I.; Mohd Roslim, M.H.; Raja Hashim, R.H.; Pusphanathan, K.; Siddiqui, M.R.; Alam, M.; Rafatullah, M. The use of essential oil embedded in Polylactic acid/chitosan-based film for mango post-harvest application against pathogenic fungi. Polymers 2023, 15, 2722. [Google Scholar] [CrossRef] [PubMed]
  65. Thierfelder, C.; Mhlanga, B.; Ngoma, H.; Marenya, P.; Matin, A.; Tufa, A.; Alene, A.; Chikoye, D. Unanswered questions and unquestioned answers: The challenges of crop residue retention and weed control in conservation agriculture systems of southern Africa. Renew. Agric. Food Syst. 2024, 39, e7. [Google Scholar] [CrossRef]
  66. Gerling, M.; Pätzig, M.; Hempel, L.; Büttner, C.; Müller, M.E. Arable weeds at the edges of kettle holes as overwintering habitat for phytopathogenic fungi. Agronomy 2022, 12, 823. [Google Scholar] [CrossRef]
  67. Ristaino, J.B.; Anderson, P.K.; Bebber, D.P.; Brauman, K.A.; Cunniffe, N.J.; Fedoroff, N.V.; Finegold, C.; Garrett, K.A.; Gilligan, C.A.; Jones, C.M. The persistent threat of emerging plant disease pandemics to global food security. Proc. Natl. Acad. Sci. USA 2021, 118, e2022239118. [Google Scholar] [CrossRef]
  68. Almogdad, M.; Jonavičienė, A.; Semaškienė, R. Bruchus rufimanus Boh. Effect on broad bean seed quality and the infection level of seed-borne fungal pathogens. Plants 2023, 12, 1825. [Google Scholar] [CrossRef]
  69. Shukla, S.; Upadhyay, D.; Mishra, A.; Jindal, T.; Shukla, K. Challenges faced by farmers in crops production due to fungal pathogens and their effect on Indian economy. In Fungal Diversity, Ecology and Control Management; Springer: Berlin/Heidelberg, Germany, 2022; pp. 495–505. [Google Scholar] [CrossRef]
  70. Oyetunji, O.E.; Ojuederie, O.B.; Thonda, O.A.; Kotun, B.; Glick, B.R.; Babalola, O.O. The expediency of fungi as biocontrol agents for the enhancement of food security. In Biocontrol Agents for Improved Agriculture; Elsevier: Amsterdam, The Netherlands, 2024; pp. 1–28. [Google Scholar] [CrossRef]
  71. Joshi, T.; Mandal, S.K.; Asati, V.; Deepa, P.R.; Sharma, P.K. Arid/semi-arid flora as a treasure trove of bioactives and bioenergy: The case for underutilized desert legumes towards environmental sustainability. Environ. Sci. Pollut. Res. 2023, 31, 39025–39036. [Google Scholar] [CrossRef]
  72. Watts-Williams, S.J.; Gill, A.R.; Jewell, N.; Brien, C.J.; Berger, B.; Tran, B.T.; Mace, E.; Cruickshank, A.W.; Jordan, D.R.; Garnett, T. Enhancement of sorghum grain yield and nutrition: A role for arbuscular mycorrhizal fungi regardless of soil phosphorus availability. Plants People Planet 2022, 4, 143–156. [Google Scholar] [CrossRef]
  73. Patel, N.; Desai, P.; Patel, N.; Jha, A.; Gautam, H.K. Agro nanotechnology for plant fungal disease management: A review. Int. J. Curr. Microbiol. App. Sci 2014, 3, 71–84. [Google Scholar]
  74. Ayesha, S.; Abideen, Z.; Haider, G.; Zulfiqar, F.; El-Keblawy, A.; Rasheed, A.; Siddique, K.H.; Khan, M.B.; Radicetti, E. Enhancing sustainable plant production and food security: Understanding the mechanisms and impacts of electromagnetic fields. Plant Stress 2023, 9, 100198. [Google Scholar] [CrossRef]
  75. Shelare, S.D.; Belkhode, P.N.; Nikam, K.C.; Jathar, L.D.; Shahapurkar, K.; Soudagar, M.E.M.; Veza, I.; Khan, T.Y.; Kalam, M.; Nizami, A.-S. Biofuels for a sustainable future: Examining the role of nano-additives, economics, policy, internet of things, artificial intelligence and machine learning technology in biodiesel production. Energy 2023, 282, 128874. [Google Scholar] [CrossRef]
  76. Sharma, I.; Kumari, N.; Sharma, V. Sorghum fungal diseases. In Sustainable Agriculture Reviews. Sustainable Agriculture Reviews; Springer: Cham, Switzerland, 2015; pp. 141–172. [Google Scholar] [CrossRef]
  77. Abreha, K.B.; Ortiz, R.; Carlsson, A.S.; Geleta, M. Understanding the sorghum–Colletotrichum sublineola interactions for enhanced host resistance. Front. Plant. Sci. 2021, 12, 641969. [Google Scholar] [CrossRef] [PubMed]
  78. Mekonen, M.; Tesfaye, K.; Mengiste, T.; Chala, A.; Nida, H.; Mekonnen, T.; Abreha, K.B.; Geleta, M. Pathotype determination of sorghum anthracnose (Colletotrichum sublineola) isolates from ethiopia using sorghum differentials. Front. Microbiol. 2024, 15, 1458450. [Google Scholar] [CrossRef] [PubMed]
  79. Tsedaley, B.; Alemu, K. Temporal and spatial dynamics of anthracnose (Colletotrichum sublineolum) disease on selected sorghum genotypes at assosa zone, western Ethiopia. F1000Research 2024, 13, 1290. [Google Scholar] [CrossRef]
  80. Priyashantha, A.H.; Dai, D.-Q.; Bhat, D.J.; Stephenson, S.L.; Promputtha, I.; Kaushik, P.; Tibpromma, S.; Karunarathna, S.C. Plant–fungi interactions: Where it goes? Biology 2023, 12, 809. [Google Scholar] [CrossRef]
  81. Salotti, I.; Liang, Y.-J.; Ji, T.; Rossi, V. Development of a model for Colletotrichum diseases with calibration for phylogenetic clades on different host plants. Front. Plant. Sci. 2023, 14, 1069092. [Google Scholar] [CrossRef]
  82. Hossain, M.S.; Islam, M.N.; Rahman, M.M.; Mostofa, M.G.; Khan, M.A.R. Sorghum: A prospective crop for climatic vulnerability, food and nutritional security. J. Agric. Food Res. 2022, 8, 100300. [Google Scholar] [CrossRef]
  83. Berraies, S.; Walkowiak, S.; Buchwaldt, L.; Menzies, J.G. Ergot (Claviceps spp.) of cereals in western Canada. Plant Health Cases 2023, 73, 1301–1316. [Google Scholar] [CrossRef]
  84. Singh, Y.; Sharma, D.; Kharayat, B.S. Major diseases of sorghum and their management. In Diseases of Field Crops Diagnosis and Management; Apple Academic Press: Cambridge, MA, USA, 2020; pp. 153–182. [Google Scholar] [CrossRef]
  85. Liu, Q.; Wang, J.; Wu, A.; Sun, A.; Dong, E.; Wang, Y.; Huang, X.; Hu, H.; Jiao, X. Plant-associated microorganisms during the reproductive period best predict sorghum yield and quality. Field Crops Res. 2023, 304, 109167. [Google Scholar] [CrossRef]
  86. Yadav, A.N.; Kour, D.; Kaur, T.; Devi, R.; Yadav, A. Endophytic fungal communities and their biotechnological implications for agro-environmental sustainability. Folia Microbiol. 2022, 67, 203–232. [Google Scholar] [CrossRef]
  87. Du, Y.; Qi, Z.; Yu, J.; Yu, M.; Cao, H.; Zhang, R.; Yong, M.; Yin, X.; Pan, X.; Song, T. Effects of panicle development stage and temperature on rice panicle blast infection by Magnaporthe oryzae and visualization of its infection process. Plant. Pathol. 2021, 70, 1436–1444. [Google Scholar] [CrossRef]
  88. Abrol, S.; Singh, S.; Singh, V.; Basu, U.; Singh, R.; Singh, A.; Ahanger, S.A.; Mehta, A.; Singh, S.; Kakraliya, D.P. Effect of agro-met conditions on the progression of brown leaf spot disease in basmati-370 rice. Asian J. Microbiol. Biotechnol. Environ. Sci. Pap. 2022, 24, 335–340. [Google Scholar] [CrossRef]
  89. Pérez-Pizá, M.; Vicente, S.; Castellari, C.; Mousegne, F.; Jecke, F.; Cornejo, P.; Ibañez, V.; Sansinena, M.; Vago, M.; Stenglein, S. Timing is everything: How planting period shapes nutritional quality, mycobiota characteristics, and mycotoxin contamination in maize (Zea mays) grains. Eur. J. Plant Pathol. 2024, 169, 201–217. [Google Scholar] [CrossRef]
  90. Ariong, R.M.; Okello, D.M.; Otim, M.H.; Paparu, P. The cost of inadequate postharvest management of pulse grain: Farmer losses due to handling and storage practices in Uganda. Agric. Food Secur. 2023, 12, 20. [Google Scholar] [CrossRef]
  91. Julian Maywald, N.; Francioli, D.; Mang, M.; Ludewig, U. Role of mineral nitrogen nutrition in fungal plant diseases of cereal crops. Crit. Rev. Plant Sci. 2023, 42, 93–123. [Google Scholar] [CrossRef]
  92. Khanal, S.; Gaire, S.P.; Zhou, X.-G. Kernel smut and false smut: The old-emerging diseases of rice—A review. Phytopathology® 2023, 113, 931–944. [Google Scholar] [CrossRef]
  93. Qiu, Z.L.; Tan, Y.; Zhong, J.; Zhang, Z.; Zhu, J.Z. First report of Colletotrichum siamense causing anthracnose on Dioscorea alata in China. Plant Dis. 2023, 107, 2848. [Google Scholar] [CrossRef]
  94. Badmos, F.O.; Muhammad, H.L.; Dabara, A.; Adefolalu, F.; Salubuyi, S.; Abdulkadir, A.; Oyetunji, V.T.; Apeh, D.O.; Muhammad, H.K.; Mwanza, M. Assessment of dietary exposure and levels of mycotoxins in sorghum from Niger state of Nigeria. Food Addit. Contam. Part A 2024, 41, 74–90. [Google Scholar] [CrossRef]
  95. Singh, S.; Prashad, H.; Gautam, H. Management of Macrophomina phaseolina by cultural practices. In Macrophomina phaseolina; Elsevier: Amsterdam, The Netherlands, 2023; pp. 241–250. [Google Scholar] [CrossRef]
  96. Kumar, S.; Vishnoi, V.K.; Kumar, P.; Dubey, R.C. Survival of Macrophomina phaseolina in plant tissues and soil. In Macrophomina Phaseolina; Elsevier: Amsterdam, The Netherlands, 2023; pp. 205–224. [Google Scholar] [CrossRef]
  97. Ahn, E.; Fall, C.; Botkin, J.; Curtin, S.; Prom, L.K.; Magill, C. Inoculation and screening methods for major sorghum diseases caused by fungal pathogens: Claviceps africana, Colletotrichum sublineola, Sporisorium reilianum, Peronosclerospora sorghi and Macrophomina phaseolina. Plants 2023, 12, 1906. [Google Scholar] [CrossRef]
  98. Priyashantha, A.K.H.; Karunarathna, S.C.; Lu, L.; Tibpromma, S. Fungal endophytes: An alternative biocontrol agent against phytopathogenic fungi. Encyclopedia 2023, 3, 759–780. [Google Scholar] [CrossRef]
  99. Bellaloui, N.; Mengistu, A.; Smith, J.R.; Abbas, H.K.; Accinelli, C.; Shier, W.T. Effects of charcoal rot on soybean seed composition in soybean genotypes that differ in charcoal rot resistance under irrigated and non-irrigated conditions. Plants 2021, 10, 1801. [Google Scholar] [CrossRef]
  100. Punja, Z.K.; Sutton, D.B.; Kim, T. Glandular trichome development, morphology, and maturation are influenced by plant age and genotype in high thc-containing cannabis (Cannabis sativa L.) inflorescences. J. Cannabis Res. 2023, 5, 12. [Google Scholar] [CrossRef] [PubMed]
  101. Kim, Y.-U.; Webber, H.; Adiku, S.G.; Júnior, R.d.S.N.; Deswarte, J.-C.; Asseng, S.; Ewert, F. Mechanisms and modelling approaches for excessive rainfall stress on cereals: Waterlogging, submergence, lodging, pests and diseases. Agric. For. Meteorol. 2024, 344, 109819. [Google Scholar] [CrossRef]
  102. Priya, R.S.; Yuvaraj, M.; Sharmila, R.; Jagathjothi, N.; Saranya, M.; Suganthi, N.; Subramanian, K.; Deivamani, M.; Cyriac, J.; Arthanari, P.M. Effects of climate change on plant diseases. In Plant Quarantine Challenges Under Climate Change Anxiety; Springer: Berlin/Heidelberg, Germany, 2024; pp. 183–225. [Google Scholar] [CrossRef]
  103. Gaur, A.; Kumar, A.; Kiran, R.; Kumari, P. Importance of seed-borne diseases of agricultural crops: Economic losses and impact on society. In Seed-Borne Diseases of Agricultural Crops: Detection, Diagnosis & Management; Springer: Singapore, 2020; pp. 3–23. [Google Scholar] [CrossRef]
  104. Yin, H.; Tian, M.; Peng, Y.; Qin, N.; Lü, H.; Ren, L.; Zhao, X. First report on Choanephora cucurbitarum causing Choanephora rot in Chenopodium plants and its sensitivity to fungicide. J. Fungi 2023, 9, 881. [Google Scholar] [CrossRef] [PubMed]
  105. Harb, H.E.; El-Tabakh, M.A.; Khattab, A.M.; Mohamed, Y.A.; Saleh, A.M.; El-Abeid, S.E. Recent advances of using innovative strategies in management of millet plant pathogens. In Genetic Improvement of Small Millets; Springer: Singapore, 2024; pp. 297–328. [Google Scholar] [CrossRef]
  106. Schumacher, L.A.; Grabau, Z.J.; Wright, D.L.; Small, I.M.; Liao, H.-L. Nematicide influence on cotton yield and plant-parasitic nematodes in conventional and sod-based crop rotation. J. Nematol. 2020, 52, e2020-34. [Google Scholar] [CrossRef]
  107. Ayilara, M.S.; Adeleke, B.S.; Akinola, S.A.; Fayose, C.A.; Adeyemi, U.T.; Gbadegesin, L.A.; Omole, R.K.; Johnson, R.M.; Uthman, Q.O.; Babalola, O.O. Biopesticides as a promising alternative to synthetic pesticides: A case for microbial pesticides, phytopesticides, and nano biopesticides. Front. Microbiol. 2023, 14, 1040901. [Google Scholar] [CrossRef]
  108. Hernandez, A.P.; Bublitz, D.M.; Wenzel, T.J.; Ruth, S.K.; Bloomingdale, C.; Mettler, D.C.; Bloomquist, M.W.; Hanson, L.E.; Willbur, J.F. An in-field heat treatment to reduce Cercospora beticola survival in plant residue and improve Cercospora leaf spot management in sugarbeet. Front. Plant. Sci. 2023, 14, 1100595. [Google Scholar] [CrossRef]
  109. Drakopoulos, D.; Gimeno, A.; Kägi, A.; Jenny, E.; Bänziger, I.; Musa, T.; Forrer, H.-R.; Vogelgsang, S. Innovative cropping systems to reduce fusarium mycotoxins in wheat. Agrar. Schweiz 2021, 12, 16–23. [Google Scholar] [CrossRef]
  110. Benaissa, A. Rhizosphere: Role of bacteria to manage plant diseases and sustainable agriculture—A review. J. Basic Microbiol. 2024, 64, 2300361. [Google Scholar] [CrossRef]
  111. Hantanasirisakul, K.; Sawangphruk, M. Sustainable reuse and recycling of spent Li-Ion batteries from electric vehicles: Chemical, environmental, and economical perspectives. Glob. Chall. 2023, 7, 2200212. [Google Scholar] [CrossRef]
  112. Muis, A.; Ryley, M.J.; Tan, Y.P.; Suharjo, R.; Nonci, N.; Danaatmadja, Y.; Hidayat, I.; Widiastuti, A.; Widinugraheni, S.; Shivas, R.G. Peronosclerospora neglecta sp. Nov.—A widespread and overlooked threat to corn (maize) production in the tropics. Mycol. Prog. 2023, 22, 12. [Google Scholar] [CrossRef]
  113. Crouch, J.; Davis, W.; Shishkoff, N.; Castroagudín, V.; Martin, F.; Michelmore, R.; Thines, M. Peronosporaceae species causing downy mildew diseases of Poaceae, including nomenclature revisions and diagnostic resources. Fungal Syst. Evol. 2022, 9, 43–86. [Google Scholar] [CrossRef] [PubMed]
  114. Yen, T.T.O.; Prasanna, B.; Setty, T.; Rathore, R. Genetic variability for resistance to sorghum downy mildew (Peronosclerospora sorghi) and rajasthan downy mildew (P. Heteropogoni) in the tropical/sub-tropical Asian maize germplasm. Euphytica 2004, 138, 23–31. [Google Scholar] [CrossRef]
  115. Parthasarathy, S.; Lakshmidevi, P.; Satya, V.; Gopalakrishnan, C. Plant Pathology and Disease Management: Principles and Practices; CRC Press: Boca Raton, FL, USA, 2024. [Google Scholar] [CrossRef]
  116. Gvozdenac, S.; Dedić, B.; Mikić, S.; Ovuka, J.; Miladinović, D. Impact of climate change on integrated pest management strategies. In Climate Change and Agriculture: Perspectives, Sustainability and Resilience; Wiley: Hoboken, NJ, USA, 2022; pp. 311–372. [Google Scholar] [CrossRef]
  117. Taibi, O.; Salotti, I.; Rossi, V. Plant resistance inducers affect multiple epidemiological components of Plasmopara viticola on grapevine leaves. Plants 2023, 12, 2938. [Google Scholar] [CrossRef] [PubMed]
  118. Zhang, B.; Zhang, Z.; Yong, S.; Yu, S.; Feng, H.; Yin, M.; Ye, W.; Wang, Y.; Qiu, M. An oomycete-specific leucine-rich repeat-containing protein is involved in zoospore flagellum development in Phytophthora sojae. Phytopathology® 2022, 112, 2351–2359. [Google Scholar] [CrossRef]
  119. Mostafa, Y.S.; Alamri, S.A.; Alrumman, S.A.; Hashem, M.; Baka, Z.A. Green synthesis of silver nanoparticles using pomegranate and orange peel extracts and their antifungal activity against Alternaria solani, the causal agent of early blight disease of tomato. Plants 2021, 10, 2363. [Google Scholar] [CrossRef]
  120. Anand, U.; Pal, T.; Yadav, N.; Singh, V.K.; Tripathi, V.; Choudhary, K.K.; Shukla, A.K.; Sunita, K.; Kumar, A.; Bontempi, E. Current scenario and future prospects of endophytic microbes: Promising candidates for abiotic and biotic stress management for agricultural and environmental sustainability. Microb. Ecol. 2023, 86, 1455–1486. [Google Scholar] [CrossRef]
  121. Choi, S.; Yang, J.W.; Kim, J.-E.; Jeon, H.; Shin, S.; Wui, D.; Kim, L.S.; Kim, B.J.; Son, H.; Min, K. Infectivity and stress tolerance traits affect community assembly of plant pathogenic fungi. Front. Microbiol. 2023, 14, 1234724. [Google Scholar] [CrossRef]
  122. Aslam, H.M.U.; Peters, N.T.; Killiny, N.; Riaz, H.; Hameed, A.; Aslam, S.; Shakeel, Q. An insight into infectious and noninfectious diseases of sorghum species. In Sustainable Summer Fodder; CRC Press: Boca Raton, FL, USA, 2024; pp. 58–69. [Google Scholar]
  123. Robert, M.K.; Charles, O.; Koima, I.N.; Muli, B.; Evans, N. Effects of major fungal pathogens on growth and yield of improved and local sorghum genotypes under field trials in lower eastern Kenya. Annu. Res. Rev. Biol. 2023, 38, 25–44. [Google Scholar] [CrossRef]
  124. Perumal, R.; Nimmakayala, P.; Erattaimuthu, S.R.; No, E.-G.; Reddy, U.K.; Prom, L.K.; Odvody, G.N.; Luster, D.G.; Magill, C.W. Simple sequence repeat markers useful for sorghum downy mildew (Peronosclerospora sorghi) and related species. BMC Genet. 2008, 9, 77. [Google Scholar] [CrossRef]
  125. Proietti, I.; Frazzoli, C.; Mantovani, A. Exploiting nutritional value of staple Foods in the World’s Semi-Arid Areas: Risks, benefits, challenges and opportunities of sorghum. Healthcare 2015, 3, 172–193. [Google Scholar] [CrossRef]
  126. Anitha, K.; Das, I.; Holajjer, P.; Sivaraj, N.; Reddy, C.R.; Balijepalli, S.B. Sorghum diseases: Diagnosis and management. In Sorghum in the 21st Century: Food–Fodder–Feed–Fuel for a Rapidly Changing World; Springer: Berlin/Heidelberg, Germany, 2020; pp. 565–619. [Google Scholar] [CrossRef]
  127. Kapanigowda, M.H.; Perumal, R.; Djanaguiraman, M.; Aiken, R.M.; Tesso, T.; Prasad, P.V.; Little, C.R. Genotypic variation in sorghum [Sorghum bicolor (L.) Moench] exotic germplasm collections for drought and disease tolerance. SpringerPlus 2013, 2, 650. [Google Scholar] [CrossRef] [PubMed]
  128. Ratnadass, A.; Fernandes, P.; Avelino, J.; Habib, R. Plant species diversity for sustainable management of crop pests and diseases in agroecosystems: A review. Agron. Sustain. Dev. 2012, 32, 273–303. [Google Scholar] [CrossRef]
  129. Rawat, L.; Bisht, T.; Naithani, D.C. Plant disease management in organic farming system: Strategies and challenges. In Emerging Trends in Plant Pathology; Springer: Singapore, 2021; pp. 611–642. [Google Scholar] [CrossRef]
  130. Nazlı, R.İ.; Polat, M. Agronomic practices for sorghum production. In Omics and Biotechnological Approaches for Product Profile-Driven Sorghum Improvement; Springer: Berlin/Heidelberg, Germany, 2024; pp. 21–53. [Google Scholar] [CrossRef]
  131. Sharma, R.; Humayun, P.; Anitha, K.; Balijepalli, S.B. Harmonization of quarantine regulation and legislation for global exchange of sorghum germplasm. In Sorghum in the 21st Century: Food–Fodder–Feed–Fuel for a Rapidly Changing World; Springer: Berlin/Heidelberg, Germany, 2020; pp. 621–637. [Google Scholar] [CrossRef]
  132. Martins, F.C.; Batista, A.D.; Melchert, W.R. Current overview and perspectives in environmentally friendly microextractions of carbamates and dithiocarbamates. Compr. Rev. Food Sci. Food Saf. 2021, 20, 6116–6145. [Google Scholar] [CrossRef] [PubMed]
  133. Thind, T. Role of fungicides in crop health management: Prospects and challenges. In Developments in Fungal Biology and Applied Mycology; Springer: Singapore, 2017; pp. 433–447. [Google Scholar] [CrossRef]
  134. Holan, K.L.; White, C.H.; Whitham, S.A. Application of a u-net neural network to the Puccinia sorghi–maize Pathosystem. Phytopathology® 2024, 114, 990–999. [Google Scholar] [CrossRef]
  135. Ayaz, M.; Li, C.-H.; Ali, Q.; Zhao, W.; Chi, Y.-K.; Shafiq, M.; Ali, F.; Yu, X.-Y.; Yu, Q.; Zhao, J.-T. Bacterial and fungal biocontrol agents for plant disease protection: Journey from lab to field, current status, challenges, and global perspectives. Molecules 2023, 28, 6735. [Google Scholar] [CrossRef]
  136. Avasthi, S.; Gautam, A.K.; Niranjan, M.; Verma, R.K.; Karunarathna, S.C.; Kumar, A.; Suwannarach, N. Insights into diversity, distribution, and systematics of rust genus Puccinia. J. Fungi 2023, 9, 639. [Google Scholar] [CrossRef]
  137. Bansal, S.; Balamurugan, A.; Mallikarjuna, M.G.; Singh, S.P.; Nayaka, S.C.; Prakash, G. The major diseases of pearl millet in the Indian sub-continent: Current scenarios in resistance and management strategies. In Pearl Millet in the 21st Century: Food-Nutrition-Climate Resilience-Improved Livelihoods; Springer: Berlin/Heidelberg, Germany, 2024; pp. 305–330. [Google Scholar] [CrossRef]
  138. Krępski, T.; Piasecka, A.; Święcicka, M.; Kańczurzewska, M.; Sawikowska, A.; Dmochowska-Boguta, M.; Rakoczy-Trojanowska, M.; Matuszkiewicz, M. Leaf rust (Puccinia recondita F. Sp. Secalis) triggers substantial changes in rye (Secale cereale L.) at the transcriptome and metabolome levels. BMC Plant. Biol. 2024, 24, 107. [Google Scholar] [CrossRef]
  139. Wakatsuki, H.; Ju, H.; Nelson, G.C.; Farrell, A.D.; Deryng, D.; Meza, F.; Hasegawa, T. Research trends and gaps in climate change impacts and adaptation potentials in major crops. Curr. Opin. Environ. Sustain. 2023, 60, 101249. [Google Scholar] [CrossRef]
  140. Shekhawat, P.S.; Singh, S.P.; Bishnoi, S. Integrated management of barley diseases: Current status and future research priorities. In New Horizons in Wheat and Barley Research: Crop Protection and Resource Management; Springer: Berlin/Heidelberg, Germany, 2022; pp. 215–260. [Google Scholar] [CrossRef]
  141. Habte, N.; Girma, G.; Xu, X.; Liao, C.J.; Adeyanju, A.; Hailemariam, S.; Lee, S.; Okoye, P.; Ejeta, G.; Mengiste, T. Haplotypes at the sorghum arg4 and arg5 nlr loci confer resistance to anthracnose. Plant J. 2024, 118, 106–123. [Google Scholar] [CrossRef]
  142. Figueroa, M.; Dodds, P.N.; Henningsen, E.C.; Sperschneider, J. Global landscape of rust epidemics by Puccinia species: Current and future perspectives. In Plant Relationships: Fungal-Plant Interactions; Springer: Berlin/Heidelberg, Germany, 2022; pp. 391–423. [Google Scholar] [CrossRef]
  143. Fraser, S.; McTaggart, A.R.; Roux, J.; Nel, J.; Potgieter, J.; Shuey, L.S.; Somchit, C.; Wingfield, M.J. The life cycle and field epidemiology of Uromycladium acaciae (Pucciniales) on Acacia mearnsii in South Africa. Ann. Appl. Biol. 2021, 179, 21–33. [Google Scholar] [CrossRef]
  144. Sarker, P.K.; Paul, A.S.; Karmoker, D. Mitigating climate change and pandemic impacts on global food security: Dual sustainable agriculture approach (2s approach). Planta 2023, 258, 104. [Google Scholar] [CrossRef] [PubMed]
  145. Dwivedi, R.S. Saccharide sweet (SS) principles, classification and structural and functional details of SS sweeteners and plants. In Alternative Sweet and Supersweet Principles: Natural Sweeteners and Plants; Springer: Berlin/Heidelberg, Germany, 2022; pp. 113–223. [Google Scholar] [CrossRef]
  146. Kebede, D.; Dramadri, I.O.; Rubaihayo, P.; Odong, T.; Edema, R. Resistance of sorghum genotypes to ergot (Claviceps species). Agriculture 2023, 13, 1100. [Google Scholar] [CrossRef]
  147. Morales, F.; Ancín, M.; Fakhet, D.; González-Torralba, J.; Gámez, A.L.; Seminario, A.; Soba, D.; Ben Mariem, S.; Garriga, M.; Aranjuelo, I. Photosynthetic metabolism under stressful growth conditions as a bases for crop breeding and yield improvement. Plants 2020, 9, 88. [Google Scholar] [CrossRef] [PubMed]
  148. Abazied, S. Factors affecting phytochemical content in some sweet sorghum varieties. Food Technol. Res. J. 2024, 5, 52–63. [Google Scholar] [CrossRef]
  149. De Souza, J.M.S.; Neto, A.B.; da Rosa, M.A.B.; Tardin, F.D.; Galati, R.L.; Chaves, C.S.; Pereira, D.H. Nutritional value and fermentability of sorghum silages grown in the amazon biome. Grassl. Sci. 2024. [Google Scholar] [CrossRef]
  150. Mohammed, A.; Bekeko, Z.; Yusufe, M.; Sulyok, M.; Krska, R. Fungal species and multi-mycotoxin associated with post-harvest sorghum (Sorghum bicolor (L.) Moench) grain in eastern Ethiopia. Toxins 2022, 14, 473. [Google Scholar] [CrossRef]
  151. Koima, I.N.; Kilalo, D.C.; Orek, C.O.; Wagacha, J.M.; Nyaboga, E.N. Survey of fungal foliar and panicle diseases in smallholder sorghum cropping systems in different agro-ecologies of lower eastern Kenya. Microbiol. Res. 2022, 13, 765–787. [Google Scholar] [CrossRef]
  152. Bedru, N.; Matiwos, T.; Birhan, T.; Belete, T. Performance evaluation of different sorghum genotypes (Sorghum bicolor (L.) Moench) using gge bi-plot stability analysis. Int. J. Genet. 2024, 12, 19–30. [Google Scholar] [CrossRef]
  153. Rebouh, N.Y.; Khugaev, C.V.; Utkina, A.O.; Isaev, K.V.; Mohamed, E.S.; Kucher, D.E. Contribution of eco-friendly agricultural practices in improving and stabilizing wheat crop yield: A review. Agronomy 2023, 13, 2400. [Google Scholar] [CrossRef]
  154. Theron, J.S.; van Coller, G.J.; Rose, L.J.; Labuschagne, J.; Swanepoel, P.A. The effect of crop rotation and tillage practice on fusarium crown rot and agronomic parameters of wheat in South Africa. Crop. Protect. 2023, 166, 106175. [Google Scholar] [CrossRef]
  155. Patroti, P.; Madhusudhana, R.; Rakshit, S.; Sharma, K.; Samdur, M.; Nitesh, S.; Elangovan, M.; Tonapi, V. Analysis of genetic diversity in exotic sorghum (Sorghum bicolor) germplasm and identification of trait specific superior accessions for post-rainy situation. Crop Res. 2022, 57, 28–37. [Google Scholar] [CrossRef]
  156. Baloch, F.S.; Altaf, M.T.; Liaqat, W.; Bedir, M.; Nadeem, M.A.; Cömertpay, G.; Çoban, N.; Habyarimana, E.; Barutçular, C.; Cerit, I. Recent advancements in the breeding of sorghum crop: Current status and future strategies for marker-assisted breeding. Front. Genet. 2023, 14, 1150616. [Google Scholar] [CrossRef] [PubMed]
  157. Ahn, E.; Prom, L.K.; Park, S.; Hu, Z.; Magill, C.W. Genome-wide association analysis uncovers genes associated with resistance to head smut path type 5 in Senegalese sorghum accessions. Plants 2024, 13, 977. [Google Scholar] [CrossRef] [PubMed]
  158. Chen, C.; Zhao, Y.; Tabor, G.; Nian, H.; Phillips, J.; Wolters, P.; Yang, Q.; Balint-Kurti, P. A leucine-rich repeat receptor kinase gene confers quantitative susceptibility to maize southern leaf blight. New Phytol. 2023, 238, 1182–1197. [Google Scholar] [CrossRef]
  159. Joshi, B.M.; Bhavsar, H. Plant leaf disease detection and control: A survey. J. Inf. Optim. Sci. 2020, 41, 475–487. [Google Scholar] [CrossRef]
  160. Saeed, F.; Afzaal, M.; Niaz, B.; Rasheed, A.; Umar, M.; Hussain, M.; Nayik, G.A.; Ansari, M.J. Quality and safety aspects of cereal grains. In Cereal Grains; CRC Press: Boca Raton, FL, USA, 2023; pp. 297–308. [Google Scholar] [CrossRef]
  161. Nataraj, V.; Kumar, S.; Kumawat, G.; Shivakumar, M.; Rajput, L.S.; Ratnaparkhe, M.B.; Ramteke, R.; Gupta, S.; Satpute, G.K.; Rajesh, V. Charcoal rot resistance in soybean: Current understanding and future perspectives. In Disease Resistance in Crop Plants: Molecular, Genetic and Genomic Perspectives; Springer: Berlin/Heidelberg, Germany, 2019; pp. 241–259. [Google Scholar] [CrossRef]
  162. Zhao, W.; Zhao, H.; Wang, H.; He, Y. Research progress on the relationship between leaf senescence and quality, yield and stress resistance in horticultural plants. Front. Plant. Sci. 2022, 13, 1044500. [Google Scholar] [CrossRef]
  163. Szabó, B.K.; Körösi, K. Storage mycotoxin producing fungi in Hungarian sorghum (Sorghum bicolor L. Moench) samples—Molecular approach of Fusarium spp. J. Plant Pathol. 2024, 107, 109–115. [Google Scholar] [CrossRef]
  164. Gemede, H.F. Influence of pre-treatment on antioxidant and functional properties of Ethiopia endemic anchote (Coccinia abyssinica) tuber and seed flour. Cogent Food Agric. 2023, 9, 2221833. [Google Scholar] [CrossRef]
  165. Mesterhazy, A. Food safety aspects of breeding maize to multi-resistance against the major (Fusarium graminearum, F. Verticillioides, Aspergillus flavus) and minor toxigenic fungi (Fusarium spp.) as well as to toxin accumulation, trends, and solutions—A review. J. Fungi 2024, 10, 40. [Google Scholar] [CrossRef]
  166. Santiago, R.; Cao, A.; Malvar, R.A.; Butrón, A. Genomics of maize resistance to fusarium ear rot and fumonisin contamination. Toxins 2020, 12, 431. [Google Scholar] [CrossRef]
  167. Sadik, J.; Fentahun, N.; Brouwer, I.; Tessema, M.; van der Fels-Klerx, H. Preharvest and postharvest management practices related to mycotoxin contamination in maize in Ethiopia—A review. World Mycotoxin J. 2023, 1, 211–216. [Google Scholar] [CrossRef]
  168. Chilenga, C.; Masamba, K.; Kasapila, W.; Ndhlovu, B.; Munkhuwa, V.; Rafoneke, L.; Machira, K. Mycotoxin management in sub-Saharan Africa: A comprehensive systematic review of policies and strategies in Malawi. Toxicol. Rep. 2024, 14, 101871. [Google Scholar] [CrossRef] [PubMed]
  169. Frasiński, S.; Czembor, E.; Lalak-Kańczugowska, J. The impact of Fusarium ear rot in Poland and methods to reduce losses caused by the disease. Biul. Inst. Hod. I Aklim. Roślin 2020, 290, 43–50. [Google Scholar] [CrossRef]
  170. Mafe, A.N.; Büsselberg, D. Mycotoxins in food: Cancer risks and strategies for control. Foods 2024, 13, 3502. [Google Scholar] [CrossRef]
  171. Ogunniran, O.P.; Ayeni, K.I.; Shokunbi, O.S.; Krska, R.; Ezekiel, C.N. A 10-year (2014–2023) review of complementary food development in sub-Saharan Africa and the impact on child health. Compr. Rev. Food Sci. Food Saf. 2024, 23, e70022. [Google Scholar] [CrossRef]
  172. McLaughlin, M.S.; Roy, M.; Abbasi, P.A.; Carisse, O.; Yurgel, S.N.; Ali, S. Why do we need alternative methods for fungal disease management in plants? Plants 2023, 12, 3822. [Google Scholar] [CrossRef]
  173. Prom, L.K.; Ahn, E.J.; Cuevas, H.E.; Liu, J.; Isakeit, T.S.; Magill, C.W. Association and interrelationship among agronomic traits and fungal diseases of sorghum, anthracnose and grain mold. Crops 2024, 4, 651–666. [Google Scholar] [CrossRef]
  174. Bhat, M.T.; Shishupala, S. Pathogenicity, phytotoxicity and enzymatic potential of sorghum grain mold pathogens. Int. J. Curr. Microbiol. App. Sci. 2024, 13, 80–88. [Google Scholar] [CrossRef]
  175. Hoenigl, M.; Arastehfar, A.; Arendrup, M.C.; Brüggemann, R.; Carvalho, A.; Chiller, T.; Chen, S.; Egger, M.; Feys, S.; Gangneux, J.-P. Novel antifungals and treatment approaches to tackle resistance and improve outcomes of invasive fungal disease. Clin. Microbiol. Rev. 2024, 37, e0007423. [Google Scholar] [CrossRef]
  176. Fisher, A., II; DeGrandi-Hoffman, G.; Liao, L.-H.; Tadei, R.; Harrison, J.F. The challenge of balancing fungicide use and pollinator health. In Advances in Insect Physiology; Elsevier: Amsterdam, The Netherlands, 2023; Volume 64, pp. 117–190. [Google Scholar] [CrossRef]
  177. Jain, S.; Thind, T.; Sekhon, P.; Singh, A. Novel detection techniques for plant pathogens and their application in disease management. In Recent Advances in the Diagnosis and Management of Plant Diseases; Springer: New Delhi, India, 2015; pp. 243–251. [Google Scholar] [CrossRef]
  178. Craven, M.; Smith, K.; Berner, J.; Morey, L.; McLaren, N.W. Evaluation of fungicides for potential growth regulating properties on sorghum. Crop. Protect. 2017, 101, 43–49. [Google Scholar] [CrossRef]
  179. Tleuova, A.B.; Wielogorska, E.; Talluri, V.P.; Štěpánek, F.; Elliott, C.T.; Grigoriev, D.O. Recent advances and remaining barriers to producing novel formulations of fungicides for safe and sustainable agriculture. J. Control. Release 2020, 326, 468–481. [Google Scholar] [CrossRef] [PubMed]
  180. Dubery, I.A.; Nephali, L.P.; Tugizimana, F.; Steenkamp, P.A. Data-driven characterization of metabolome reprogramming during early development of sorghum seedlings. Metabolites 2024, 14, 112. [Google Scholar] [CrossRef] [PubMed]
  181. Liu, X.; Li, H.; Qi, G.; Qian, Y.; Li, B.; Shi, L.; Liu, B. Combating fungal infections and resistance with a dual-mechanism Luminogen to disrupt membrane integrity and induce DNA damage. J. Am. Chem. Soc. 2024, 146, 31656–31664. [Google Scholar] [CrossRef]
  182. Little, C.; Bandara, A.; Perumal, R. Sorghum diseases and their management in cultivation: Seedling, seed, panicle and foliar diseases agricultural research center–hays, USA. In Achieving Sustainable Cultivation of Sorghum; Burleigh Dodds Science Publishing: Cambridge, UK, 2018; Volume 1, pp. 397–446. [Google Scholar] [CrossRef]
  183. Christopher, F.; Mbega, E.; Ndakidemi, P.; Nyalala, S. Challenges and prospects for management of anthracnose caused by Colletotrichum species in tropical Africa. J. Anim. Plant Sci. 2022, 32, 891. [Google Scholar] [CrossRef]
  184. Barathikannan, K.; Chelliah, R.; Selvakumar, V.; Elahi, F.; Rubab, M.; Sanyal, S.; Yeon, S.-J.; Oh, D.-H. Plant-based metabolites and their uses in nanomaterials synthesis: An overview. In Secondary Metabolites Based Green Synthesis of Nanomaterials and Their Applications; Springer: Singapore, 2023; pp. 1–22. [Google Scholar] [CrossRef]
  185. Fenta, L.; Mekonnen, H. Microbial biofungicides as a substitute for chemical fungicides in the control of phytopathogens: Current perspectives and research directions. Scientifica 2024, 2024, 5322696. [Google Scholar] [CrossRef]
  186. Wani, S.; Rajput, A.; Pingale, P. Herbal nanoformulations: A magical remedy for management of fungal diseases. J. Herb. Med. 2023, 42, 100810. [Google Scholar] [CrossRef]
  187. Huang, T.; Li, X.; Maier, M.; O’Brien-Simpson, N.M.; Heath, D.E.; O’Connor, A.J. Using inorganic nanoparticles to fight fungal infections in the antimicrobial resistant era. Acta Biomater. 2023, 158, 56–79. [Google Scholar] [CrossRef]
  188. Olita, T.; Stankovic, M.; Sung, B.; Jones, M.; Gibberd, M. Growers’ perceptions and attitudes towards fungicide resistance extension services. Sci. Rep. 2024, 14, 6821. [Google Scholar] [CrossRef]
  189. Corkley, I.; Fraaije, B.; Hawkins, N. Fungicide resistance management: Maximizing the effective life of plant protection products. Plant Pathol. 2022, 71, 150–169. [Google Scholar] [CrossRef]
  190. Moumni, M.; Brodal, G.; Romanazzi, G. Recent innovative seed treatment methods in the management of seed borne pathogens. Food Secur. 2023, 15, 1365–1382. [Google Scholar] [CrossRef]
  191. Taylor, N.P.; Cunniffe, N.J. Modelling quantitative fungicide resistance and breakdown of resistant cultivars: Designing integrated disease management strategies for Septoria of winter wheat. PLoS Comp. Biol. 2023, 19, e1010969. [Google Scholar] [CrossRef] [PubMed]
  192. Dassou, A.G.; Tovignan, S.; Vodouhè, F.; Vodouhè, S.D. Meta-analysis of agro ecological technologies and practices in the sustainable management of banana pests and diseases. Environ. Dev. Sustain. 2023, 26, 21937–21954. [Google Scholar] [CrossRef]
  193. Jayaraman, S.; Naorem, A.; Lal, R.; Dalal, R.C.; Sinha, N.; Patra, A.; Chaudhari, S. Disease-suppressive soils—Beyond food production: A critical review. J. Soil Sci. Plant Nutr. 2021, 21, 1437–1465. [Google Scholar] [CrossRef] [PubMed]
  194. Nnadi, N.E.; Carter, D.A. Climate change and the emergence of fungal pathogens. PLoS Path. 2021, 17, e1009503. [Google Scholar] [CrossRef]
  195. Bulut, S.; Arslan, M. Plant protection methods in organic farming. Curr. Trends Natl. Sci. 2023, 12, 183–192. [Google Scholar] [CrossRef]
  196. Mohanty, L.K.; Singh, N.; Raj, P.; Prakash, A.; Tiwari, A.K.; Singh, V.; Sachan, P. Nurturing crops, enhancing soil health, and sustaining agricultural prosperity worldwide through agronomy. J. Exp. Agric. Int. 2024, 46, 46–67. [Google Scholar] [CrossRef]
  197. Singh, B.K.; Delgado-Baquerizo, M.; Egidi, E.; Guirado, E.; Leach, J.E.; Liu, H.; Trivedi, P. Climate change impacts on plant pathogens, food security and paths forward. Nat. Rev. Microbiol. 2023, 21, 640–656. [Google Scholar] [CrossRef]
  198. Lecina-Diaz, J.; Chas-Amil, M.-L.; Aquilué, N.; Sil, Â.; Brotons, L.; Regos, A.; Touza, J. Incorporating fire-smartness into agricultural policies reduces suppression costs and ecosystem services damages from wildfires. J. Environ. Manag. 2023, 337, 117707. [Google Scholar] [CrossRef]
  199. Resende, R.S.; Rodrigues, F.Á.; Soares, J.M.; Casela, C.R. Influence of silicon on some components of resistance to anthracnose in susceptible and resistant sorghum lines. Eur. J. Plant Pathol. 2009, 124, 533–541. [Google Scholar] [CrossRef]
  200. Resende, R.S.; Rodrigues, F.Á.; Costa, R.V.; Silva, D.D. Silicon and fungicide effects on anthracnose in moderately resistant and susceptible sorghum lines. J. Phytopathol. 2013, 161, 11–17. [Google Scholar] [CrossRef]
  201. Resende, R.; Rodrigues, F.; Gomes, R.; Nascimento, K. Microscopic and biochemical aspects of sorghum resistance to anthracnose mediated by silicon. Ann. Appl. Biol. 2013, 163, 114–123. [Google Scholar] [CrossRef]
  202. D’Aquino, S.; Palma, A. Reducing or replacing conventional postharvest fungicides with low toxicity acids and salts. In Postharvest Pathology of Fresh Horticultural Produce; CRC Press: Boca Raton, FL, USA, 2019; pp. 595–632. [Google Scholar] [CrossRef]
  203. Gikas, G.D.; Parlakidis, P.; Mavropoulos, T.; Vryzas, Z. Particularities of fungicides and factors affecting their fate and removal efficacy: A review. Sustainability 2022, 14, 4056. [Google Scholar] [CrossRef]
  204. Heick, T.M.; Justesen, A.F.; Jørgensen, L.N. Anti-resistance strategies for fungicides against wheat pathogen Zymoseptoria tritici with focus on dmi fungicides. Crop. Protect. 2017, 99, 108–117. [Google Scholar] [CrossRef]
  205. Dorigan, A.F.; Moreira, S.I.; da Silva Costa Guimarães, S.; Cruz-Magalhães, V.; Alves, E. Target and non-target site mechanisms of fungicide resistance and their implications for the management of crop pathogens. Pest Manag. Sci. 2023, 79, 4731–4753. [Google Scholar] [CrossRef] [PubMed]
  206. Pothiraj, G.; Hussain, Z.; Singh, A.K.; Solanke, A.U.; Aggarwal, R.; Ramesh, R.; Shanmugam, V. Characterization of Fusarium spp. Inciting vascular wilt of tomato and its management by a Chaetomium-based biocontrol consortium. Front. Plant. Sci. 2021, 12, 748013. [Google Scholar] [CrossRef]
  207. Vasseghian, Y.; Arunkumar, P.; Joo, S.-W.; Gnanasekaran, L.; Kamyab, H.; Rajendran, S.; Balakrishnan, D.; Chelliapan, S.; Klemeš, J.J. Metal-organic framework-enabled pesticides are an emerging tool for sustainable cleaner production and environmental hazard reduction. J. Clean. Prod. 2022, 373, 133966. [Google Scholar] [CrossRef]
  208. Rizvi, A.; Ahmed, B.; Khan, M.S.; Umar, S.; Lee, J. Sorghum-phosphate solubilizers’ interactions: Crop nutrition, biotic stress alleviation, and yield optimization. Front. Plant. Sci. 2021, 12, 746780. [Google Scholar] [CrossRef]
  209. Pimentão, A.R.; Cuco, A.P.; Pascoal, C.; Cássio, F.; Castro, B.B. Current trends and mismatches on fungicide use and assessment of the ecological effects in freshwater ecosystems. Environ. Pollut. 2024, 347, 123678. [Google Scholar] [CrossRef]
  210. Sreevidya, S.; Sankarasubramanian, K.; Katre, Y.; Yadav, S.; Asthana, A.; Singh, A.K.; Alexis, F.; Carabineiro, S.A. Users opinion about synthetic, bio-and nano-biopesticides. J. Nat. Pestic. Res. 2023, 6, 100058. [Google Scholar] [CrossRef]
  211. Michelson, H.; Gourlay, S.; Lybbert, T.; Wollburg, P. Purchased agricultural input quality and small farms. Food Policy 2023, 116, 102424. [Google Scholar] [CrossRef]
  212. Kumar, P.; Gupta, A.; Mahato, D.K.; Pandhi, S.; Pandey, A.K.; Kargwal, R.; Mishra, S.; Suhag, R.; Sharma, N.; Saurabh, V. Aflatoxins in cereals and cereal-based products: Occurrence, toxicity, impact on human health, and their detoxification and management strategies. Toxins 2022, 14, 687. [Google Scholar] [CrossRef] [PubMed]
  213. Hashem, M.; Mostafa, Y.S.; Alamri, S.; Abbas, A.M.; Eid, E.M. Exploitation of agro-industrial residues for the formulation of a new active and cost effective biofungicide to control the root rot of vegetable crops. Sustainability 2021, 13, 9254. [Google Scholar] [CrossRef]
  214. Kumar, V.; Koul, B.; Taak, P.; Yadav, D.; Song, M. Journey of Trichoderma from pilot scale to mass production: A review. Agriculture 2023, 13, 2022. [Google Scholar] [CrossRef]
  215. Vurukonda, S.S.K.P.; Fotopoulos, V.; Saeid, A. Production of a rich fertilizer base for plants from waste organic residues by microbial formulation technology. Microorganisms 2024, 12, 541. [Google Scholar] [CrossRef]
  216. Martinez, Y.; Ribera, J.; Schwarze, F.W.; De France, K. Biotechnological development of Trichoderma-based formulations for biological control. Appl. Microbiol. Biotechnol. 2023, 107, 5595–5612. [Google Scholar] [CrossRef]
  217. Lyubenova, A.; Rusanova, M.; Nikolova, M.; Slavov, S.B. Plant extracts and Trichoderma spp.: Possibilities for implementation in agriculture as biopesticides. Biotechnol. Biotechnol. Equip. 2023, 37, 159–166. [Google Scholar] [CrossRef]
  218. Tyśkiewicz, R.; Nowak, A.; Ozimek, E.; Jaroszuk-Ściseł, J. Trichoderma: The current status of its application in agriculture for the biocontrol of fungal phytopathogens and stimulation of plant growth. Int. J. Mol. Sci. 2022, 23, 2329. [Google Scholar] [CrossRef]
  219. Sharma, S.; Rana, G.; Kalotra, S.; Verma, L.; Chauhan, A. Biocontrol agents for soil health management. In Advancements in Microbial Biotechnology for Soil Health; Springer: Berlin/Heidelberg, Germany, 2024; pp. 149–172. [Google Scholar] [CrossRef]
  220. Vermelho, A.B.; Moreira, J.V.; Akamine, I.T.; Cardoso, V.S.; Mansoldo, F.R. Agricultural pest management: The role of microorganisms in biopesticides and soil bioremediation. Plants 2024, 13, 2762. [Google Scholar] [CrossRef]
  221. Saiyam, D.; Dubey, A.; Malla, M.A.; Kumar, A. Lipopeptides from Bacillus: Unveiling biotechnological prospects—Sources, properties, and diverse applications. Braz. J. Microbiol. 2024, 55, 281–295. [Google Scholar] [CrossRef]
  222. Atri, A.; Banyal, D.; Bhardwaj, N.; Roy, A. Exploring the integrated use of fungicides, bio-control agent and biopesticide for management of foliar diseases (Anthracnose, grey leaf spot and zonate leaf spot) of sorghum. Int. J. Pest Manag. 2022, 70, 789–800. [Google Scholar] [CrossRef]
  223. Basavaraj, K.; Simha, H.; Palaiah, P.; Manjunath, N.; Shruthi, N.; Bellad, S. Integrated crop management practices resulted in higher yield in sorghum (Sorghum bicolor L.). J. Krishi Vigyan 2022, 11, 211–216. [Google Scholar] [CrossRef]
  224. Rajini, S.B.; Nandhini, M.; Udayashankar, A.C.; Niranjana, S.R.; Lund, O.S.; Prakash, H.S. Diversity, plant growth-promoting traits, and biocontrol potential of fungal endophytes of Sorghum bicolor. Plant. Pathol. 2020, 69, 642–654. [Google Scholar] [CrossRef]
  225. Begna, T. Effect of striga species on sorghum (Sorghum bicolor L. Moench) production and its integrated management approaches. Int. J. Res. Stud. Agric. Sci. 2021, 7, 10–22. [Google Scholar] [CrossRef]
  226. Miljaković, D.; Marinković, J.; Tamindžić, G.; Milošević, D.; Ignjatov, M.; Karačić, V.; Jakšić, S. Bio-priming with Bacillus isolates suppresses seed infection and improves the germination of garden peas in the presence of Fusarium strains. J. Fungi 2024, 10, 358. [Google Scholar] [CrossRef]
  227. Verma, R.; Singh, P.; Singh, J. Evaluation of different modules for the management of false smut of rice under field conditions. J. Pharmacogn. Phytochem. 2020, 9, 299–301. [Google Scholar] [CrossRef]
  228. Islam, T.; Haque, M.A.; Barai, H.R.; Istiaq, A.; Kim, J.-J. Antibiotic resistance in plant pathogenic bacteria: Recent data and environmental impact of unchecked use and the potential of biocontrol agents as an eco-friendly alternative. Plants 2024, 13, 1135. [Google Scholar] [CrossRef]
  229. Kandasamy, G.D.; Kathirvel, P. Insights into bacterial endophytic diversity and isolation with a focus on their potential applications—A review. Microbiol. Res. 2023, 266, 127256. [Google Scholar] [CrossRef]
  230. Segoli, M.; Abram, P.K.; Ellers, J.; Hardy, I.C.; Greenbaum, G.; Heimpel, G.E.; Keasar, T.; Ode, P.J.; Sadeh, A.; Wajnberg, E. Trait-based approaches to predicting biological control success: Challenges and prospects. Trends Ecol. Evol. 2023, 38, 802–811. [Google Scholar] [CrossRef]
  231. Lahlali, R.; Ezrari, S.; Radouane, N.; Kenfaoui, J.; Esmaeel, Q.; El Hamss, H.; Belabess, Z.; Barka, E.A. Biological control of plant pathogens: A global perspective. Microorganisms 2022, 10, 596. [Google Scholar] [CrossRef]
  232. Palmieri, D.; Ianiri, G.; Del Grosso, C.; Barone, G.; De Curtis, F.; Castoria, R.; Lima, G. Advances and perspectives in the use of biocontrol agents against fungal plant diseases. Horticulturae 2022, 8, 577. [Google Scholar] [CrossRef]
  233. Mason, P.G.; Mc Kay, F.; Silvestri, L.C.; Hill, M.; Weyl, P.; Hinz, H.L.; Brodeur, J.; Vitorino, M.D.; Barratt, B.I. International agreement for the use and exchange of classical biological control genetic resources: A practical proposal. BioControl 2023, 68, 329–339. [Google Scholar] [CrossRef]
  234. Chen, Z.; Li, X.; Xia, X. Socioeconomic status, ambidextrous learning, and farmers’ adoption of biological control technology: Evidence from 650 kiwifruit growers in China. Pest Manag. Sci. 2022, 78, 475–487. [Google Scholar] [CrossRef] [PubMed]
  235. Pambuka, G.T.; Kinge, T.R.; Ghosh, S.; Cason, E.D.; Nyaga, M.M.; Gryzenhout, M. Plant and soil core mycobiomes in a two-year sorghum–legume intercropping system of underutilized crops in south Africa. Microorganisms 2022, 10, 2079. [Google Scholar] [CrossRef] [PubMed]
  236. De Oliveira, A.D.; Ribeiro, F.P.; de Figueiredo, C.C.; Muller, A.G.; Malaquias, J.V.; Dos Santos, I.L.; de Sá, M.A.C.; Soares, J.P.G.; Dos Santos, M.V.A.; de Carvalho, A.M. Effects of soil management, rotation and sequence of crops on soil nitrous oxide emissions in the Cerrado: A multi-factor assessment. J. Environ. Manag. 2023, 348, 119295. [Google Scholar] [CrossRef]
  237. Peralta, A.L.; Sun, Y.; McDaniel, M.D.; Lennon, J.T. Crop rotational diversity increases disease suppressive capacity of soil microbiomes. Ecosphere 2018, 9, e02235. [Google Scholar] [CrossRef]
  238. Pierre, H.M.; Kinama, J.M.; Olubayo, F.M.; Wanderi, S.W.; Muthomi, J.W.; Nzuve, F.M. Effect of intercropping maize and promiscuous soybean on growth and yield. J. Exp. Agric. Int. 2018, 18, 1–21. [Google Scholar] [CrossRef]
  239. Zou, Y.; Liu, Z.; Chen, Y.; Wang, Y.; Feng, S. Crop rotation and diversification in china: Enhancing sustainable agriculture and resilience. Agriculture 2024, 14, 1465. [Google Scholar] [CrossRef]
  240. Duo, L.; Yang, Y.; Gao, Y.; Zhao, S. Graphene oxide affects the symbiosis of legume-rhizobium and associated rhizosphere rhizobial communities. Chemosphere 2023, 342, 140166. [Google Scholar] [CrossRef]
  241. Jaisval, G.K.; Dwivedi, H.; Pandey, A.; Jaiswal, S.; Kumar, A.; Kushwaha, D.; Shukla, P. A comprehensive review on plant disease vectors and their management. Int. J. Environ. Clim. Change 2023, 13, 2518–2530. [Google Scholar] [CrossRef]
  242. Liang, Z.; Xu, Z.; Cheng, J.; Ma, B.; Cong, W.-F.; Zhang, C.; Zhang, F.; van der Werf, W.; Groot, J.C. Designing diversified crop rotations to advance sustainability: A method and an application. Sustain. Prod. Consum. 2023, 40, 532–544. [Google Scholar] [CrossRef]
  243. Aggarwal, S.; Srinivas, R.; Puppala, H.; Magner, J. Integrated decision support for promoting crop rotation based sustainable agricultural management using geoinformatics and stochastic optimization. Comput. Electron. Agric. 2022, 200, 107213. [Google Scholar] [CrossRef]
  244. Volsi, B.; Higashi, G.E.; Bordin, I.; Telles, T.S. The diversification of species in crop rotation increases the profitability of grain production systems. Sci. Rep. 2022, 12, 19849. [Google Scholar] [CrossRef] [PubMed]
  245. Maitra, S.; Sahoo, U.; Sairam, M.; Gitari, H.I.; Rezaei-Chiyaneh, E.; Battaglia, M.L.; Hossain, A. Cultivating sustainability: A comprehensive review on intercropping in a changing climate. Res. Crops 2023, 24, 702–715. [Google Scholar] [CrossRef]
  246. El-Saadony, M.T.; Saad, A.M.; Soliman, S.M.; Salem, H.M.; Ahmed, A.I.; Mahmood, M.; El-Tahan, A.M.; Ebrahim, A.A.; Abd El-Mageed, T.A.; Negm, S.H. Plant growth-promoting microorganisms as biocontrol agents of plant diseases: Mechanisms, challenges and future perspectives. Front. Plant. Sci. 2022, 13, 923880. [Google Scholar] [CrossRef] [PubMed]
  247. Fan, Z.; Deng, M.; Lin, Y.; Liu, P.; Wang, X.; Yang, S.; Ren, X.; Chen, X.; Liu, T. Effects of the border on yield and water use in wheat/maize intercropping in rain-fed areas with different nitrogen levels. Field Crops Res. 2023, 302, 109105. [Google Scholar] [CrossRef]
  248. Altieri, M.A.; Nicholls, C.I.; Dinelli, G.; Negri, L. Towards an agro ecological approach to crop health: Reducing pest incidence through synergies between plant diversity and soil microbial ecology. Npj Sustain. Agric. 2024, 2, 6. [Google Scholar] [CrossRef]
  249. Huss, C.; Holmes, K.; Blubaugh, C. Benefits and risks of intercropping for crop resilience and pest management. J. Econ. Entomol. 2022, 115, 1350–1362. [Google Scholar] [CrossRef]
  250. Affichard, M.; Jacquelin, M.; Khalil, T.; Andrivon, D.; Le May, C. Consideration of the disease complexes, the missing link to correctly analyze the impact of intercropping on disease development. Agronomy 2024, 14, 1210. [Google Scholar] [CrossRef]
  251. Wu, J.; Bao, X.; Zhang, J.; Lu, B.; Zhang, W.; Callaway, R.M.; Li, L. Temporal stability of productivity is associated with complementarity and competitive intensities in intercropping. Ecol. Appl. 2023, 33, e2731. [Google Scholar] [CrossRef]
  252. Charania, I.; Li, X. Smart farming: Agriculture’s shift from a labor intensive to technology native industry. Internet Things 2020, 9, 100142. [Google Scholar] [CrossRef]
  253. Kabir, A.H.; Bennetzen, J.L. Molecular insights into the mutualism that induces iron deficiency tolerance in sorghum inoculated with Trichoderma harzianum. Microbiol. Res. 2024, 281, 127630. [Google Scholar] [CrossRef] [PubMed]
  254. Parihar, A.; Shiwani. Molecular breeding and marker-assisted selection for crop improvement. In Plant Genomics for Sustainable Agriculture; Springer: Berlin/Heidelberg, Germany, 2022; pp. 129–164. [Google Scholar] [CrossRef]
  255. Feni, E.I.; Kasmiyati, S.; Meitiniarti, V.I. Resistance selection of local sorghum varieties in East Nusa Tenggara, Indonesia against Rhizoctonia solani. Biodiversitas J. Biol. Divers. 2023, 24, 5309–5318. [Google Scholar] [CrossRef]
  256. Singh, S.; Chaudhary, R.; Lokya, V.; Tiwari, S. Genome editing based trait improvement in crops: Current perspective, challenges and opportunities. Nucleus 2024, 67, 97–126. [Google Scholar] [CrossRef]
  257. Misganaw, A.; Feyissa, T.; Mekonnen, T.; Desalegne, O.; Disasa, T. Genetic diversity analysis of sorghum genotypes for sustainable genetic resource conservation and its implication for breeding program in Ethiopia. Genet. Resour. Crop Evol. 2023, 70, 1831–1852. [Google Scholar] [CrossRef]
  258. Singha, S.; Singha, R. Crop improvement strategies and principles of selective breeding. In Water-Soil-Plant-Animal Nexus in the era of Climate Change; IGI Global: Pennsylvania, PA, USA, 2024; pp. 93–113. [Google Scholar] [CrossRef]
  259. Boyles, R.E.; Ballén-Taborda, C.; Brown-Guedira, G.; Costa, J.; Cowger, C.; DeWitt, N.; Griffey, C.A.; Harrison, S.A.; Ibrahim, A.; Johnson, J. Approaching 25 years of progress towards fusarium head blight resistance in southern soft red winter wheat (Triticum aestivum L.). Plant Breed. 2024, 143, 66–81. [Google Scholar] [CrossRef]
  260. Grenni, P. Antimicrobial resistance in rivers: A review of the genes detected and new challenges. Environ. Toxicol. Chem. 2022, 41, 687–714. [Google Scholar] [CrossRef]
  261. Jabran, M.; Ali, M.A.; Zahoor, A.; Muhae-Ud-Din, G.; Liu, T.; Chen, W.; Gao, L. Intelligent reprogramming of wheat for enhancement of fungal and nematode disease resistance using advanced molecular techniques. Front. Plant. Sci. 2023, 14, 1132699. [Google Scholar] [CrossRef]
  262. Finger, R.; Zachmann, L.; McCallum, C. Short supply chains and the adoption of fungus-resistant grapevine varieties. Appl. Econ. Perspect. Policy 2023, 45, 1753–1775. [Google Scholar] [CrossRef]
  263. Samuel, L.; de Barcellos, M.D.; Watabaji, M.D.; De Steur, H. Factors affecting farmers’ acceptance and adoption of bio fortified crops: A systematic review. Outlook Agric. 2024, 53, 15–29. [Google Scholar] [CrossRef]
  264. Ndudzo, A.; Makuvise, A.S.; Moyo, S.; Bobo, E.D. Crispr-cas9 genome editing in crop breeding for climate change resilience: Implications for smallholder farmers in Africa. J. Agric. Food Res. 2024, 16, 101132. [Google Scholar] [CrossRef]
  265. Birhanu, C.; Girma, G.; Mekbib, F.; Nida, H.; Tirfessa, A.; Lule, D.; Bekeko, Z.; Ayana, G.; Bejiga, T.; Bedada, G. Exploring the genetic basis of anthracnose resistance in Ethiopian sorghum through a genome-wide association study. BMC Genom. 2024, 25, 677. [Google Scholar] [CrossRef] [PubMed]
  266. Mewa, D.B.; Lee, S.; Liao, C.J.; Adeyanju, A.; Helm, M.; Lisch, D.; Mengiste, T. ANTHRACNOSE RESISTANCE GENE2 confers fungal resistance in sorghum. Plant J. 2023, 113, 308–326. [Google Scholar] [CrossRef] [PubMed]
  267. Lin, F.; Chhapekar, S.S.; Vieira, C.C.; Da Silva, M.P.; Rojas, A.; Lee, D.; Liu, N.; Pardo, E.M.; Lee, Y.-C.; Dong, Z. Breeding for disease resistance in soybean: A global perspective. Theor. Appl. Genet. 2022, 135, 3773–3872. [Google Scholar] [CrossRef] [PubMed]
  268. Demirjian, C.; Vailleau, F.; Berthomé, R.; Roux, F. Genome-wide association studies in plant pathosystems: Success or failure? Trends Plant Sci. 2023, 28, 471–485. [Google Scholar] [CrossRef]
  269. Zhu, Q.; Fei, Y.-J.; Wu, Y.-B.; Luo, D.-L.; Chen, M.; Sun, K.; Zhang, W.; Dai, C.-C. Endophytic fungus reshapes spikelet microbiome to reduce mycotoxin produced by Fusarium proliferatum through altering rice metabolites. J. Agric. Food Chem. 2023, 71, 11350–11364. [Google Scholar] [CrossRef]
  270. Liu, B.; Stevens-Green, R.; Johal, D.; Buchanan, R.; Geddes-McAlister, J. Fungal pathogens of cereal crops: Proteomic insights into fungal pathogenesis, host defense, and resistance. J. Plant Physiol. 2022, 269, 153593. [Google Scholar] [CrossRef]
  271. Wang, K.; Abid, M.A.; Rasheed, A.; Crossa, J.; Hearne, S.; Li, H. Dnngp, a deep neural network-based method for genomic prediction using multi-omics data in plants. Mol. Plant 2023, 16, 279–293. [Google Scholar] [CrossRef]
  272. Boubakri, H. Recent progress in Crispr/cas9-based genome editing for enhancing plant disease resistance. Gene 2023, 866, 147334. [Google Scholar] [CrossRef]
  273. Mengistu, G.; Shimelis, H.; Assefa, E.; Lule, D. Genome-wide association analysis of anthracnose resistance in sorghum [Sorghum bicolor (L.) Moench]. PLoS ONE 2021, 16, e0261461. [Google Scholar] [CrossRef]
  274. Borrelli, V.M.; Brambilla, V.; Rogowsky, P.; Marocco, A.; Lanubile, A. The enhancement of plant disease resistance using Crispr/CAS9 technology. Front. Plant. Sci. 2018, 9, 1245. [Google Scholar] [CrossRef]
  275. Lowe, K.; Wu, E.; Wang, N.; Hoerster, G.; Hastings, C.; Cho, M.-J.; Scelonge, C.; Lenderts, B.; Chamberlin, M.; Cushatt, J. Morphogenic regulators baby boom and Wuschel improve monocot transformation. Plant Cell 2016, 28, 1998–2015. [Google Scholar] [CrossRef] [PubMed]
  276. Sun, H. Crop disease control and management. In Encyclopedia of Digital Agricultural Technologies; Springer: Berlin/Heidelberg, Germany, 2023; pp. 193–197. [Google Scholar] [CrossRef]
  277. Barbedo, J.G.A. Crop health sensing: Disease, pest, nutrient, and water stresses. In Encyclopedia of Digital Agricultural Technologies; Springer: Berlin/Heidelberg, Germany, 2023; pp. 198–207. [Google Scholar] [CrossRef]
  278. Ali, F.; Rehman, A.; Hameed, A.; Sarfraz, S.; Rajput, N.A.; Atiq, M. Climate change impact on plant pathogen emergence: Artificial intelligence (AI) approach. In Plant Quarantine Challenges Under Climate Change Anxiety; Springer: Berlin/Heidelberg, Germany, 2024; pp. 281–303. [Google Scholar] [CrossRef]
  279. Purnama, I.; Syafrani, S.; Mutamima, A.; Saputra, R.; Nasution, N.; Amalia, A. Improving edible oilseed (oil palm) health and productivity: Integration of sustainable pest management, precision farming, and stakeholder collaboration. In Edible Oilseeds Research-Updates and Prospects; IntechOpen: London, UK, 2024. [Google Scholar] [CrossRef]
  280. Dhanaraju, M.; Chenniappan, P.; Ramalingam, K.; Pazhanivelan, S.; Kaliaperumal, R. Smart farming: Internet of things (IoT)-based sustainable agriculture. Agriculture 2022, 12, 1745. [Google Scholar] [CrossRef]
  281. Zhao, A.P.; Li, S.; Cao, Z.; Hu, P.J.-H.; Wang, J.; Xiang, Y.; Xie, D.; Lu, X. Ai for science: Predicting infectious diseases. J. Saf. Sci. Resil. 2024, 5, 130–146. [Google Scholar] [CrossRef]
  282. Gonzalez-Jimenez, J.; Andersson, B.; Wiik, L.; Zhan, J. Modelling potato yield losses caused by Phytophthora infestans: Aspects of disease growth rate, infection time and temperature under climate change. Field Crops Res. 2023, 299, 108977. [Google Scholar] [CrossRef]
  283. Ahmed, I.; Yadav, P.K. Plant disease detection using machine learning approaches. Expert Syst. 2023, 40, e13136. [Google Scholar] [CrossRef]
  284. Mahlein, A.-K.; Arnal Barbedo, J.G.; Chiang, K.-S.; Del Ponte, E.M.; Bock, C.H. From detection to protection: The role of optical sensors, robots, and artificial intelligence in modern plant disease management. Phytopathology 2024, 114, 1733–1741. [Google Scholar] [CrossRef]
  285. Garrett, K.; Bebber, D.; Etherton, B.; Gold, K.; Plex Sulá, A.; Selvaraj, M.G. Climate change effects on pathogen emergence: Artificial intelligence to translate big data for mitigation. Annu. Rev. Phytopathol. 2022, 60, 357–378. [Google Scholar] [CrossRef]
  286. Haque, S.; Mengersen, K.; Barr, I.; Wang, L.; Yang, W.; Vardoulakis, S.; Bambrick, H.; Hu, W. Towards development of functional climate-driven early warning systems for climate-sensitive infectious disease: Statistical models and recommendations. Environ. Res. 2024, 249, 118568. [Google Scholar] [CrossRef]
  287. Javaid, M.; Haleem, A.; Khan, I.H.; Suman, R. Understanding the potential applications of artificial intelligence in agriculture sector. Adv. Agrochem. 2023, 2, 15–30. [Google Scholar] [CrossRef]
  288. Urugo, M.M.; Yohannis, E.; Teka, T.A.; Gemede, H.F.; Tola, Y.B.; Forsido, S.F.; Tessema, A.; Suraj, M.; Abdu, J. Addressing post-harvest losses through agro-processing for sustainable development in Ethiopia. J. Agric. Food Res. 2024, 18, 101316. [Google Scholar] [CrossRef]
  289. John, M.A.; Bankole, I.; Ajayi-Moses, O.; Ijila, T.; Jeje, O.; Lalit, P. Relevance of advanced plant disease detection techniques in disease and pest management for ensuring food security and their implication: A review. Am. J. Plant Sci. 2023, 14, 1260–1295. [Google Scholar] [CrossRef]
  290. Usama, M. Application of digital technologies & remote sensing in precision agriculture for sustainable crop production. In Geospatial Technology to Support Communities and Policy: Pathways to Resiliency; Springer: Berlin/Heidelberg, Germany, 2024; pp. 203–223. [Google Scholar] [CrossRef]
  291. Abdullah, H.M.; Mohana, N.T.; Khan, B.M.; Ahmed, S.M.; Hossain, M.; Islam, K.S.; Redoy, M.H.; Ferdush, J.; Bhuiyan, M.; Hossain, M.M. Present and future scopes and challenges of plant pest and disease (P&D) monitoring: Remote sensing, image processing, and artificial intelligence perspectives. Remote Sens. Appl. Soc. Environ. 2023, 32, 100996. [Google Scholar] [CrossRef]
  292. Finger, R.; Swinton, S.M.; El Benni, N.; Walter, A. Precision farming at the nexus of agricultural production and the environment. Annu. Rev. Resour. Econ. 2019, 11, 313–335. [Google Scholar] [CrossRef]
  293. Mahlein, A.-K.; Heim, R.H.-J.; Brugger, A.; Gold, K.; Li, Y.; Bashir, A.K.; Paulus, S.; Kuska, M.T. Digital plant pathology for precision agriculture. J. Plant Dis. Prot. 2022, 129, 455–456. [Google Scholar] [CrossRef]
  294. Júnior, M.R.B.; de Almeida Moreira, B.R.; dos Santos Carreira, V.; de Brito Filho, A.L.; Trentin, C.; de Souza, F.L.P.; Tedesco, D.; Setiyono, T.; Flores, J.P.; Ampatzidis, Y. Precision agriculture in the united states: A comprehensive meta-review inspiring further research, innovation, and adoption. Comput. Electron. Agric. 2024, 221, 108993. [Google Scholar] [CrossRef]
  295. Rozenstein, O.; Cohen, Y.; Alchanatis, V.; Behrendt, K.; Bonfil, D.J.; Eshel, G.; Harari, A.; Harris, W.E.; Klapp, I.; Laor, Y. Data-driven agriculture and sustainable farming: Friends or foes? Precis. Agric. 2024, 25, 520–531. [Google Scholar] [CrossRef]
  296. Aithal, S.; Aithal, P. Information communication and computation technologies (ICCT) for agricultural and environmental information systems for society 5.0. Int. J. Appl. Eng. Manag. Lett. 2024, 8, 67–100. [Google Scholar] [CrossRef]
  297. Gebresenbet, G.; Bosona, T.; Patterson, D.; Persson, H.; Fischer, B.; Mandaluniz, N.; Chirici, G.; Zacepins, A.; Komasilovs, V.; Pitulac, T. A concept for application of integrated digital technologies to enhance future smart agricultural systems. Smart Agric. Technol. 2023, 5, 100255. [Google Scholar] [CrossRef]
  298. Papadopoulos, G.; Arduini, S.; Uyar, H.; Psiroukis, V.; Kasimati, A.; Fountas, S. Economic and environmental benefits of digital agricultural technologies in crop production: A review. Smart Agric. Technol. 2024, 8, 100441. [Google Scholar] [CrossRef]
  299. Kitole, F.A.; Mkuna, E.; Sesabo, J.K. Digitalization and agricultural transformation in developing countries: Empirical evidence from Tanzania agriculture sector. Smart Agric. Technol. 2024, 7, 100379. [Google Scholar] [CrossRef]
  300. Richard, B.; Qi, A.; Fitt, B.D. Control of crop diseases through integrated crop management to deliver climate-smart farming systems for low-and high-input crop production. Plant. Pathol. 2022, 71, 187–206. [Google Scholar] [CrossRef]
  301. Datta, D.; Ghosh, S.; Kumar, S.; Gangola, S.; Majumdar, B.; Saha, R.; Mazumdar, S.P.; Singh, S.V.; Kar, G. Microbial bio surfactants: Multifarious applications in sustainable agriculture. Microbiol. Res. 2024, 279, 127551. [Google Scholar] [CrossRef] [PubMed]
  302. Gabriel, A.; Gandorfer, M. Adoption of digital technologies in agriculture—An inventory in a European small-scale farming region. Precis. Agric. 2023, 24, 68–91. [Google Scholar] [CrossRef]
  303. Thakur, N.; Nigam, M.; Mann, N.A.; Gupta, S.; Hussain, C.M.; Shukla, S.K.; Shah, A.A.; Casini, R.; Elansary, H.O.; Khan, S.A. Host-mediated gene engineering and microbiome-based technology optimization for sustainable agriculture and environment. Funct. Integr. Genom. 2023, 23, 57. [Google Scholar] [CrossRef]
  304. Sawhney, R.; Malik, A.; Sharma, S.; Narayan, V. A comparative assessment of artificial intelligence models used for early prediction and evaluation of chronic kidney disease. Decis. Anal. J. 2023, 6, 100169. [Google Scholar] [CrossRef]
  305. Guja, M.M.; Bedeke, S.B. Smallholders’ climate change adaptation strategies: Exploring effectiveness and opportunities to be capitalized. Environ. Dev. Sustain. 2024, 1–30. [Google Scholar] [CrossRef]
  306. Blomme, G.; Kearsley, E.; Buta, S.; Chala, A.; Kebede, R.; Addis, T.; Yemataw, Z. Xanthomonas wilt of enset in Ethiopia: Geographical spread, impact on production systems and the effect of training on disease management practices. Afr. J. Agric. Res. 2023, 19, 33–47. [Google Scholar] [CrossRef]
  307. Piñeiro, V.; Arias, J.; Dürr, J.; Elverdin, P.; Ibáñez, A.M.; Kinengyere, A.; Opazo, C.M.; Owoo, N.; Page, J.R.; Prager, S.D. A scoping review on incentives for adoption of sustainable agricultural practices and their outcomes. Nat. Sustain. 2020, 3, 809–820. [Google Scholar] [CrossRef]
  308. Nyagadza, B. Sustainable digital transformation for ambidextrous digital firms: Systematic literature review, meta-analysis and agenda for future research directions. Sustain. Technol. Entrep. 2022, 1, 100020. [Google Scholar] [CrossRef]
  309. Arowoogun, J.O.; Babawarun, O.; Chidi, R.; Adeniyi, A.O.; Okolo, C.A. A comprehensive review of data analytics in healthcare management: Leveraging big data for decision-making. World J. Adv. Res. Rev. 2024, 21, 1810–1821. [Google Scholar] [CrossRef]
  310. Revathi, A.; Poonguzhali, S. The role of AIoT-based automation systems using UAVs in smart agriculture. In Revolutionizing Industrial Automation Through the Convergence of Artificial Intelligence and the Internet of Things; IGI Global: Pennsylvania, PA, USA, 2023; pp. 100–117. [Google Scholar] [CrossRef]
  311. Saxena, A.K.; Dwivedi, R.K.; Parygin, D. Field monitoring and automation in agriculture using internet of things (IoT). In Towards the Integration of IoT, Cloud and Big Data: Services, Applications and Standards; Springer: Berlin/Heidelberg, Germany, 2023; pp. 131–154. [Google Scholar] [CrossRef]
  312. Balaska, V.; Adamidou, Z.; Vryzas, Z.; Gasteratos, A. Sustainable crop protection via robotics and artificial intelligence solutions. Machines 2023, 11, 774. [Google Scholar] [CrossRef]
  313. Gawande, V.; Saikanth, D.; Sumithra, B.; Aravind, S.A.; Swamy, G.N.; Chowdhury, M.; Singh, B.V. Potential of precision farming technologies for eco-friendly agriculture. Int. J. Plant Soil Sci. 2023, 35, 101–112. [Google Scholar] [CrossRef]
  314. Kumar, P.; Raghavendran, S.; Silambarasan, K.; Kannan, K.S.; Krishnan, N. Mobile application using DCDM and cloud-based automatic plant disease detection. Environ. Monit. Assess. 2023, 195, 44. [Google Scholar] [CrossRef] [PubMed]
  315. Rezaei, M.; Rahmani, E.; Khouzani, S.J.; Rahmannia, M.; Ghadirzadeh, E.; Bashghareh, P.; Chichagi, F.; Fard, S.S.; Esmaeili, S.; Tavakoli, R. Role of artificial intelligence in the diagnosis and treatment of diseases. Kindle 2023, 3, 1–160. [Google Scholar]
  316. Ehsan, I.; Irfan Khalid, M.; Ricci, L.; Iqbal, J.; Alabrah, A.; Sajid Ullah, S.; Alfakih, T.M. A conceptual model for blockchain-based agriculture food supply chain system. Sci. Program. 2022, 2022, 7358354. [Google Scholar] [CrossRef]
  317. Himeur, Y.; Elnour, M.; Fadli, F.; Meskin, N.; Petri, I.; Rezgui, Y.; Bensaali, F.; Amira, A. Ai-big data analytics for building automation and management systems: A survey, actual challenges and future perspectives. Artif. Intell. Rev. 2023, 56, 4929–5021. [Google Scholar] [CrossRef]
  318. Lone, R.; Hassan, N.; Bashir, B.; Rohela, G.K.; Malla, N.A. Role of growth elicitors and microbes in stress management and sustainable production of sorghum. Plant Stress 2023, 9, 100179. [Google Scholar] [CrossRef]
  319. Adachi, T.; El-Hattab, A.W.; Jain, R.; Nogales Crespo, K.A.; Quirland Lazo, C.I.; Scarpa, M.; Summar, M.; Wattanasirichaigoon, D. Enhancing equitable access to rare disease diagnosis and treatment around the world: A review of evidence, policies, and challenges. Int. J. Environ. Res. Public Health 2023, 20, 4732. [Google Scholar] [CrossRef]
  320. Zhang, Z.; Bills, G.F.; An, Z. Advances in the treatment of invasive fungal disease. PLoS Path. 2023, 19, e1011322. [Google Scholar] [CrossRef]
  321. Laxminarayan, R.; Impalli, I.; Rangarajan, R.; Cohn, J.; Ramjeet, K.; Trainor, B.W.; Strathdee, S.; Sumpradit, N.; Berman, D.; Wertheim, H. Expanding antibiotic, vaccine, and diagnostics development and access to tackle antimicrobial resistance. Lancet 2024, 403, 2534–2550. [Google Scholar] [CrossRef]
  322. Mwantimwa, K.; Ndege, N. Transferring knowledge and innovations through village knowledge center in Tanzania: Approaches, impact and impediments. VINE J. Inf. Knowl. Manag. Syst. 2024, 54, 379–397. [Google Scholar] [CrossRef]
  323. Koutridi, E.; Christopoulou, O. The importance of integrating smart farming technologies into rural policies (aiming at sustainable rural development)-stakeholders’ views. Smart Agric. Technol. 2023, 4, 100206. [Google Scholar] [CrossRef]
  324. Dosso, F.; Gouroubera, M.W.; Idrissou, L.; Moumouni-Mousa, I. The combination of extension approaches strengthens farmers’ innovativeness in sustainable land management. Environ. Dev. Sustain. 2024, 26, 10043–10062. [Google Scholar] [CrossRef]
  325. Singh, N.; Sunitha, N.; Tripathi, G.; Saikanth, D.; Sharma, A.; Jose, A.E.; Mary, M. Impact of digital technologies in agricultural extension. Asian J. Agric. Ext. Econ. Sociol. 2023, 41, 963–970. [Google Scholar] [CrossRef]
  326. Shaikh, T.A.; Rasool, T.; Lone, F.R. Towards leveraging the role of machine learning and artificial intelligence in precision agriculture and smart farming. Comput. Electron. Agric. 2022, 198, 107119. [Google Scholar] [CrossRef]
  327. Lankinen, Å.; Witzell, J.; Aleklett, K.; Furenhed, S.; Karlsson Green, K.; Latz, M.; Liljeroth, E.; Larsson, R.; Löfkvist, K.; Meijer, J. Challenges and opportunities for increasing the use of low-risk plant protection products in sustainable production. A review. Agron. Sustain. Dev. 2024, 44, 21. [Google Scholar] [CrossRef]
  328. Araya, T.; Ochsner, T.E.; Mnkeni, P.N.; Hounkpatin, K.; Amelung, W. Challenges and constraints of conservation agriculture adoption in smallholder farms in sub-Saharan Africa: A review. Int. Soil Water Conserv. Res. 2024, 12, 828–843. [Google Scholar] [CrossRef]
  329. Van Asseldonk, M.; Girvetz, E.; Pamuk, H.; Wattel, C.; Ruben, R. Policy incentives for smallholder adoption of climate-smart agricultural practices. Front. Political Sci. 2023, 5, 1112311. [Google Scholar] [CrossRef]
  330. Wuepper, D.; Wiebecke, I.; Meier, L.; Vogelsanger, S.; Bramato, S.; Fürholz, A.; Finger, R. Agri-environmental policies from 1960 to 2022. Nat. Food 2024, 5, 323–331. [Google Scholar] [CrossRef]
  331. Khangura, R.; Ferris, D.; Wagg, C.; Bowyer, J. Regenerative agriculture—A literature review on the practices and mechanisms used to improve soil health. Sustainability 2023, 15, 2338. [Google Scholar] [CrossRef]
  332. Bekee, B.; Segovia, M.S.; Valdivia, C. Adoption of smart farm networks: A translational process to inform digital agricultural technologies. Agric. Hum. Values 2024, 41, 1573–1590. [Google Scholar] [CrossRef]
  333. Konfo, T.R.C.; Djouhou, F.M.C.; Hounhouigan, M.H.; Dahouenon-Ahoussi, E.; Avlessi, F.; Sohounhloue, C.K.D. Recent advances in the use of digital technologies in agri-food processing: A short review. Appl. Food Res. 2023, 3, 100329. [Google Scholar] [CrossRef]
  334. Zampati, F. Ethical and legal considerations in smart farming: A farmer’s perspective. In Towards Responsible Plant Data Linkage: Data Challenges for Agricultural Research and Development; Springer: Cham, Switzerland, 2023; Volume 257. [Google Scholar] [CrossRef]
  335. Rosace, M.; Björklund, N.; Boberg, J.; Bradshaw, C.; Camac, J.; Damus, M.; Kompas, T.; Li, C.; MacLeod, A.; Maggini, R. Including climate change in pest risk assessment: Current practices and perspectives for future implementation. EPPO Bull. 2024, 54, 52–72. [Google Scholar] [CrossRef]
  336. Ojeyinka, O.T.; Omaghomi, T.T. Climate change and zoonotic diseases: A conceptual framework for predicting and managing health risks in the USA. GSC Biol. Pharm. Sci. 2024, 26, 027–036. [Google Scholar] [CrossRef]
  337. Adisa, O.; Ilugbusi, B.S.; Adewunmi, O.; Franca, O.; Ndubuisi, L. A comprehensive review of redefining agricultural economics for sustainable development: Overcoming challenges and seizing opportunities in a changing world. World J. Adv. Res. Rev. 2024, 21, 2329–2341. [Google Scholar] [CrossRef]
  338. Shang, M.; Xie, J. Agricultural sustainable development: Soil, water resources, biodiversity, climate change, and technological innovation. Adv. Resour. Res. 2024, 4, 181–204. [Google Scholar]
  339. Maiwada, U.D.; Qabasiyu, M.G.; Dauda, M.H.; Aliyu, A.A. Effects of 5g network and climatic fluctuations on sorghum yield in Nigeria. Int. J. Sci. Res. 2024, 4, 18–31. [Google Scholar]
  340. Yusuph, A.S.; Nzunda, E.F.; Mourice, S.K.; Dalgaard, T. Usage of agro ecological climate-smart agriculture practices among sorghum and maize smallholder farmers in semi-arid areas in Tanzania. East Afr. J. Agric. Biotechnol. 2023, 6, 378–405. [Google Scholar] [CrossRef]
  341. Nhliziyo, N.; Mushunje, A. Determinants of small-scale farmers’ participation in social capital networks to enhance adoption of climate change adaptation strategies in or Tambo district, south Africa. Agriculture 2024, 14, 441. [Google Scholar] [CrossRef]
  342. Sylla, A.; Yila, J.O.; Traore, S. The choice and preference of sorghum value chain actors in mali. Int. J. Sociol. Anthropol. 2023, 15, 41–58. [Google Scholar] [CrossRef]
Figure 1. Timeline of research and review articles on sorghum that were published from 2000 to April 2024. Mining of this analysis to describe the total number of publications was published within the literature domain. The Web of Science database was searched using related keywords, and we found that 851 reports on crop rotation, 525 on environmental impacts, 63 on fungal disease management, 53 on biological control, 39 on predictive modeling, 33 on disease-resistant varieties, 22 on fungicide development, and 12 on digital agriculture management were published.
Figure 1. Timeline of research and review articles on sorghum that were published from 2000 to April 2024. Mining of this analysis to describe the total number of publications was published within the literature domain. The Web of Science database was searched using related keywords, and we found that 851 reports on crop rotation, 525 on environmental impacts, 63 on fungal disease management, 53 on biological control, 39 on predictive modeling, 33 on disease-resistant varieties, 22 on fungicide development, and 12 on digital agriculture management were published.
Jof 11 00207 g001
Figure 2. The symptoms of grain mold complex disease of sorghum and the intricate network of fungal hyphae enveloping grain particles. This complex symbiosis illustrates the interplay between fungi and grains in agricultural ecosystems.
Figure 2. The symptoms of grain mold complex disease of sorghum and the intricate network of fungal hyphae enveloping grain particles. This complex symbiosis illustrates the interplay between fungi and grains in agricultural ecosystems.
Jof 11 00207 g002
Figure 3. Charcoal rot disease symptoms on sorghum plants showcase characteristic discoloration and fungal growth in the stem tissues.
Figure 3. Charcoal rot disease symptoms on sorghum plants showcase characteristic discoloration and fungal growth in the stem tissues.
Jof 11 00207 g003
Figure 4. Downy mildew symptoms on sorghum leaves, characterized by yellowing and fuzzy grayish patches, caused by the fungal pathogen Peronosclerospora sorghi.
Figure 4. Downy mildew symptoms on sorghum leaves, characterized by yellowing and fuzzy grayish patches, caused by the fungal pathogen Peronosclerospora sorghi.
Jof 11 00207 g004
Figure 5. Rust disease on sorghum leaves. Orange pustules indicative of fungal infection are visible, accompanied by yellowing and necrosis of leaf tissue.
Figure 5. Rust disease on sorghum leaves. Orange pustules indicative of fungal infection are visible, accompanied by yellowing and necrosis of leaf tissue.
Jof 11 00207 g005
Table 1. Management practices for controlling fungal phytopathogens in sorghum.
Table 1. Management practices for controlling fungal phytopathogens in sorghum.
PracticeKey PointsImplicationsReferences
Planting and Crop RotationTilling or no-till
methods, soil health, disease risk, crop
rotation benefits
Balancing soil health and disease control, crop diversity[53,54,55]
Irrigation and DrainageStable yield vs. fungal pathogen risk, wet condition diseasesIrrigation
management,
disease
prevention in
wet conditions
[29,56]
FertilizationNutrient management, nitrogen levels, plant health vs. fungal growthOptimizing
fertilization,
balancing growth
and disease resistance
[57,58,59]
Pest
Management
Chemical, biological, and mechanical methods; insect–fungus
interaction
Effective pest
control to reduce
disease spread
[60,61,62,63]
Harvest and Post-Harvest PracticesHarvest timing,
pot-harvest handling, grain mold risk,
disease inoculum
Reduced disease
prevalence,
effective
crop residue
management
[64,65,66]
Table 2. Importance of managing fungal diseases in sorghum.
Table 2. Importance of managing fungal diseases in sorghum.
AspectKey PointsImplicationsReferences
Yield ProtectionYield losses,
Total crop failure
Farmer income
protection,
crop productivity
[18,67]
Grain Quality MaintenanceReduced grain market value, grain mold
effects
Market competitiveness,
grain quality
[68,69]
Food SecurityStaple food, impact on local food securityCommunity
nutrition,
dependence on
sorghum
[70,71]
Feed and Industrial UsesUsage in animal feed and biofuel, quality and availability impactIndustrial and feed sector reliance[13,14,72]
Environmental StewardshipSustainable practices, reduced chemical useEnvironmental health, biodiversity promotion[20,21,73]
Economic StabilityMarket stability, economic planning
impact
Regional/national economic health[74,75]
Table 3. Other significant diseases in sorghum and their management strategies.
Table 3. Other significant diseases in sorghum and their management strategies.
Fungal
Phytopathogens
Key
Symptoms
ImpactPrevalence (Percentage Contribution)Key
Management
Strategies
References
Ergot
(Claviceps africana)
Honeydew structures, sclerotia formationReduced yield and grain quality, toxic sclerotia25%Planting tolerant varieties, crop
rotations with
legumes
[83,84]
Head smut
(Sporisorium reilianum)
Grain head replaced with spore massSignificant yield loss, plants fail to produce grain15%Crop rotation,
resistant varieties
[91,92,157]
Leaf blight
(Exserohilum turcicum)
Rectangular, tan leaf lesionsReduced yield from impaired photosynthesis, leaf death20%Agronomic
cultural
practices, the use of resistant or tolerant cultivars,
biological control and chemical methods
[119,158]
Stalk rot
(Fusarium, macrophomina)
Soft, rotten stalk base, plant lodgingSignificant yield loss, especially when plants lodge10%Resistant
varieties,
agronomic
practices
[27,120]
Sooty stripe
(Ramulispora sorghi)
Yellow to tan leaf stripes, sooty sporesVariable yield impact, significant under high disease pressure30%Use protectant fungicides,
cultural methods, seed soaking method, rotation of crops, manage proper planting distance
[139,140]
Table 4. Additional common fungal phytopathogens in sorghum.
Table 4. Additional common fungal phytopathogens in sorghum.
Fungal
Phytopathogens
Key
Symptoms
ImpactStages of Plant Growth Most AffectedManagement
Strategies
References
Anthracnose
(Colletotrichum sublineolum)
Water-soaked lesions on leaves, leaf/stem/panicle rotYield loss, infected plant debris as fungal sourceVegetative stage affects leaf and stem development,
reproductive stage impacts panicle formation and grain development
Crop rotation, cultural practices, use resistant hybrid cultivars, use deep plowing leftover the crop residues from soil,
biological control.
[93,159]
Grain Mold Complex (Fusarium spp., Curvularia spp., and others)Grain discoloration, shriveling, quality reductionReduced grain quality, problematic in humid conditionsGrain filling stage affects kernel development,
maturity stage increases susceptibility to mold formation
Maintain optimal plant population, crop adopting pest management practices, crop rotation, planting sorghum hybrids varieties, harvest panicles timely dry them quickly under natural sunlight, sort out moldy and damaged panicles, prevent insect damage stored grain suitable fumigation, monitor sorghum grain production, process and storage stages for mycotoxin contamination.[31,33,160]
Charcoal rot (Macrophomina phaseolina)Wilting, yellowing leaves, silver-gray stalk, microsclerotiaSignificant yield loss, stalk lodging in drought conditionsMid to late vegetative stages causes wilting and leaf yellowing,
reproductive stage leads to stalk lodging, especially under drought stress
Use fungicides to inhibit mycelial growth, combination of soil solarization and organic amendment, controlling pathogens by soil mulching and large coverings with transparent polyethylene tarp, crop rotation, tillage practices, and reduce soil moisture.[49,161]
Downy Mildew (Peronosclerospora sorghi)White to purple downy growth on leaves, chlorosis, stuntingYield loss, sterile heads, or no heads in severe casesVegetative stage causes leaf chlorosis and stunting,
early reproductive stage reduces head formation and fertility
Use chemical, genetic, and cultural methods, use resistant sorghum varieties, seed treatments with the systemic fungicides metalaxyl and mefenoxam, cultural controls, crop rotation, deep tillage.[113,121]
Rust (Puccinia purpurea)Small, round pustules on leaves, leaf blight, early senescenceReduced photosynthesis, impact on yield and grain qualityVegetative stage affects leaf health and photosynthesis,
reproductive stage impacts flowering and grain development
Cultivating resistant varieties, cultivating the slow-rusting sorghum varieties, use cultural practices, destroy infected residues from crop and weed hosts, use healthy seed for planting, treat seeds to prevent urediniospore seed-borne infection.[97,138,162]
Table 5. Innovative fungicide strategies.
Table 5. Innovative fungicide strategies.
StrategyKey FeaturesPotential BenefitsReferences
Bio-based
Fungicides
Natural substances, less environmental impactEco-friendly, safe for non-target
organisms
[184,185]
Nano-formulationsImproved absorption, reduced doses, prolonged activityIncreased efficacy, targeted delivery, environmental safety[186]
Fungicide
Mixtures
Multiple fungicides, enhanced efficacy, resistance
management
Improved disease control, reduced resistance risk[187,188]
New Modes of ActionNovel action modes, controls resistant fungiEffective against
resistant strains,
delays resistance
development
[185,189]
Seed Treatment Fungicides Protection from seed borne/pathogens,
reduced foliar
applications
Early protection, reduced chemical use[36,190]
Table 6. Genetic research strategies for disease resistance.
Table 6. Genetic research strategies for disease resistance.
StrategyKey FeaturesPotential BenefitsReferences
Quantitative
Trait Loci
Mapping
Mapping genes/gene regions, disease
resistance
Efficient trait
selection, complex trait management
[191,267]
Genome-Wide Association
Studies
Genetic variant
identification,
resistance gene
location
Understanding gene function and interaction[157,268]
TranscriptomicsGene expression
analysis during
infection
Identification of key resistance genes[269]
Proteomics and MetabolomicsDefense response
proteins and
metabolites analysis
Mechanism
revelation, new target identification
[184,270]
Genomic
Selection
Performance
prediction, genomic data utilization
Accelerated
breeding process
[254,271]
Genome
Editing
Precise gene editing, disease resistance
enhancement
Direct modification of defense genes[264,272]
Table 7. Strategies for sorghum disease management.
Table 7. Strategies for sorghum disease management.
StrategyKey FeaturesPotential BenefitsApplicationReferences
Integrate
Disease
Management
Genetic resistance, crop management,
biological and
chemical control
Improved
effectiveness,
sustainability
Fungal disease management in sorghum[300,301]
Precision
Farming
Real-time data, site-specific management, precision in fungicide applicationIncreased efficacy, cost reduction,
Environmental
protection
Site-specific
sorghum farming practices
[279,302]
Breeding
Technologies
Genomic selection,
genome editing,
advanced breeding
Efficient disease-resistant variety
development
Breeding of
sorghum varieties
[156,258]
Biological
Control
Beneficial microbes, bio-fungicides,
microbiome
engineering
Enhanced natural plant defensesControl of fungal diseases in
sorghum
[185,303]
Predictive
Models
Accuracy,
accessibility, early warning
Optimized disease control,
preventative measures
Disease
management
decision-making
[286,304]
Climate-Smart AgricultureResistant varieties, adapted crop
management, climate adaptation
Resilience to
climate change, disease resistance
Adapting
sorghum farming to climate change
[300,305]
Farmer Training and Extension Services Disease recognition
education, localized extension services
Effective
implementation, knowledge sharing
Farmer education and support[306]
Policy and
Institutional Support
Research support,
incentives for
sustainable practices, seed system
establishment
Promotion of
improved practices, policy support
Supporting
sorghum disease management
[122,307]
Table 8. Technologies in agricultural disease management and their applications.
Table 8. Technologies in agricultural disease management and their applications.
TechnologyKey FeaturesPotential ImpactUse CaseReferences
Remote Sensing and Imagery
Analysis
Satellite imagery, drone-based
sensing, machine learning analysis
Early disease
detection
Disease
identification
[290,310]
IoT and Sensor TechnologyTemperature,
humidity,
rainfall, soil
moisture monitoring
Risk prediction,
informed decisions
Field condition monitoring[101,311]
Predictive
Modeling
Historical data
analysis, predictive outbreak modeling
Early warning,
preventative
actions
Disease
outbreak
prediction
[49,312]
Precision
Agriculture
Site-specific disease management,
variable rate
technology
Optimized
fungicide use
Disease
management
[294,313]
Mobile and Cloud-Based AppsReal-time data,
predictive models, decision support tools
Accessible
information,
enhanced
communication
Farmer
decision
support
[61,314]
Artificial Intelligence and Machine LearningPattern detection, predictive
insights, improved decision accuracy
Enhanced detection and predictionData analysis and insights[278,315]
Block chain
Technology
Secure data records, traceability, data integrityData security, traceabilityData
management and
security
[316]
Data Analytics and Decision
Support Systems
Insight extraction, expert knowledge integrationEvidence-based
recommendations
Decision
support and analytics
[309,317]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Khaskheli, M.A.; Nizamani, M.M.; Tarafder, E.; Das, D.; Nosheen, S.; Muhae-Ud-Din, G.; Khaskheli, R.A.; Ren, M.-J.; Wang, Y.; Yang, S.-W. Sustainable Management of Major Fungal Phytopathogens in Sorghum (Sorghum bicolor L.) for Food Security: A Comprehensive Review. J. Fungi 2025, 11, 207. https://doi.org/10.3390/jof11030207

AMA Style

Khaskheli MA, Nizamani MM, Tarafder E, Das D, Nosheen S, Muhae-Ud-Din G, Khaskheli RA, Ren M-J, Wang Y, Yang S-W. Sustainable Management of Major Fungal Phytopathogens in Sorghum (Sorghum bicolor L.) for Food Security: A Comprehensive Review. Journal of Fungi. 2025; 11(3):207. https://doi.org/10.3390/jof11030207

Chicago/Turabian Style

Khaskheli, Maqsood Ahmed, Mir Muhammad Nizamani, Entaj Tarafder, Diptosh Das, Shaista Nosheen, Ghulam Muhae-Ud-Din, Raheel Ahmed Khaskheli, Ming-Jian Ren, Yong Wang, and San-Wei Yang. 2025. "Sustainable Management of Major Fungal Phytopathogens in Sorghum (Sorghum bicolor L.) for Food Security: A Comprehensive Review" Journal of Fungi 11, no. 3: 207. https://doi.org/10.3390/jof11030207

APA Style

Khaskheli, M. A., Nizamani, M. M., Tarafder, E., Das, D., Nosheen, S., Muhae-Ud-Din, G., Khaskheli, R. A., Ren, M.-J., Wang, Y., & Yang, S.-W. (2025). Sustainable Management of Major Fungal Phytopathogens in Sorghum (Sorghum bicolor L.) for Food Security: A Comprehensive Review. Journal of Fungi, 11(3), 207. https://doi.org/10.3390/jof11030207

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop