Search Results (12,636)

Drosophila melanogaster has been a cornerstone of biological research, offering critical insights into genetics, neurobiology, and disease modelling. This review examines Drosophila feeding research, including the diverse assays available to study feeding behaviour, and explores its biomedical and entomological applications. We highlight studies that have advanced our understanding of human feeding and eating disorders, vector-borne infectious diseases, and agricultural pest control. In clinical applications, we discuss a two-pronged approach: using Drosophila to model human feeding and eating disorders, as well as to study insect vectors that contribute to human disease transmission. We explore how feeding studies in Drosophila provide valuable insights into energy homeostasis, metabolic regulation, pathogen–host interactions, and vector biology. Beyond clinical relevance, the entomological applications of Drosophila feeding research extend to sustainable pest management and insecticide resistance. Finally, we identify gaps in current research and suggest promising directions for further exploration. By leveraging the genetic and behavioural tools available in this model, researchers can continue to uncover conserved mechanisms with broad implications for human health, disease control, and agricultural sustainability. Full article

To address limitations such as short forecast periods, data collection challenges, insufficient understanding of physical mechanisms, and single-scale constraints, forecasting factors and their characteristics were analyzed across astronomical, global, and watershed scales. Forecasting factors were selected based on astronomical observations, ocean current predictions, traditional calendars, and agricultural proverbs, and their characteristics were quantitatively processed. A BP neural network optimized by the Gray Wolf Optimizer (GWO) algorithm (GWO-BP) was constructed, and the dataset derived from sample division of the Fengman Reservoir Basin was used to train the model for secondary fitting. The model successfully fit and predicted the annual inflow of the Fengman Reservoir Basin from 2013 to 2017. Through a comparison with the GWO–Support Vector Machine (GWO-SVM) model, results showed that the GWO-BP model exhibited superior predictive performance. This method integrates multi-scale, easily accessible, and quantifiable forecasting factors, facilitating the extension of long-term runoff forecasting applications within the river basin. Full article

Nitrate leaching from agricultural soils is a major contributor to groundwater contamination and non-point source pollution. Controlling this loss remains challenging due to the complexity of soil–water–nutrient interactions under intensive farming practices. Biochar, a porous, carbon-rich material derived from biomass pyrolysis, has emerged as a promising amendment for nitrate mitigation. This review summarizes recent advances in understanding the roles of biochar in nitrate retention and transformation in soils, including both direct mechanisms—such as surface adsorption, ion exchange, and pore entrapment—and indirect mechanisms—such as enhanced microbial activity, soil structure improvement, and root system development. Field and laboratory evidence shows that biochar can reduce NO₃⁻-N leaching by 15–70%, depending on its properties, soil conditions, and application context. However, inconsistencies in performance due to differences in biochar types, soil conditions, and environmental factors remain a major barrier to widespread adoption. This review also suggests current knowledge gaps and research needs, including long-term field validation, biochar material optimization, and integration of biochar into precision nutrient management. Overall, biochar presents a multifunctional strategy for reducing nitrate leaching and promoting sustainable nitrogen management in agroecosystems. Full article

Transforming industrial by-products into new resources is a fundamental principle of sustainable agriculture and circular bioeconomy. Waste products from rosemary (Rosmarinus officinalis L.) essential oil extraction, such as exhausted biomass and water residues (WRs), are rich in bioactive compounds like phenols and terpenes. These by-products may represent a promising and economically viable option for agricultural management, particularly in weed control. This study evaluates the potential use of WR as a bioherbicide. In vitro experiments were conducted to assess the inhibitory effects of WR on the germination and seedling morphology (root and shoot development) of four detrimental weed species for temperate cropping systems: two monocotyledonous (Alopecurus myosuroides and Lolium multiflorum) and two dicotyledonous (Sinapis alba and Amaranthus retroflexus). WR was tested at four concentrations (0, 25, 50, and 100), corresponding to an increasing gradient of WR, with 100 representing pure WR. The results showed that WR did not significantly inhibit germination in A. myosuroides, L. multiflorum and S. alba, whereas A. retroflexus exhibited a dose-dependent inhibition, with germination reduced by 37.5%, 64.5%, and 91.6% at doses of 25, 50, and 100, respectively, compared with the control (dose 0). Furthermore, germination delays were observed across all tested species with promising application of WR for regulating weed–crop competitive interactions in the early crop growth stages. Results on the morphological traits of weed seedlings showed that WR application affected root more than shoot growth inhibition. In particular, WR demonstrated a pronounced root inhibitory effect in A. myosuroides, L. multiflorum, and A. retroflexus. In contrast, a dose-dependent increase in root length was observed for S. alba (21.41 mm at dose 0 and 25.77 mm, 30.97 mm and 35.96 mm, respectively, at doses 25, 50, and 100). The results of this study highlight the potential application of WR as a sustainable solution to be included in an integrated weed management (IWM) toolbox and underscore their role in promoting the valorization of waste from essential oil production. Full article

Acrobeloides nanus is a cosmopolitan, parthenogenetic soil nematode that is widely distributed across various terrestrial environments, including forests, sand dunes, and agricultural lands. In Korea, this nematode was first isolated from soil collected from a potato farm. It has been used as a biological indicator for monitoring contamination caused by divalent metals such as copper and zinc. In this study, A. nanus was isolated from the soil collected from a cucumber farm, and its identity was confirmed using both morphological and molecular markers. Spray-induced gene silencing using double-stranded RNA (dsRNA) represents a promising new strategy for pest control. Here, we tested a spraying dsRNA that would specifically suppress the target genes in A. nanus. Three genes (Pat-10, Unc-87, and vATPase-B) were targeted, and their expression levels were assessed following treatment with their corresponding dsRNAs. The dsRNAs were sprayed onto the nematode diet. As the concentration of dsRNA increased, the expression levels of the target genes were significantly reduced, leading to notable nematode mortality. However, nematicidal activity varied among the three different dsRNAs. To practically assess these dsRNAs under field conditions, the dsRNAs were applied to the soil containing the nematodes by a drenching application. Significant mortality was observed in treatments with dsRNAs targeting vATPase-B or Pat-10, but not with dsRNA targeting Unc-87. To enhance nematicidal activity in soil, the dsRNAs were formulated with chitosan. This formulation significantly improved the stability of dsRNAs under soil conditions and increased their control efficacy against A. nanus. This study suggests that the drenching technique offers an effective strategy to the control of soil-dwelling nematode pests affecting agricultural crops. Full article

Micro-sprinkling fertigation, a novel irrigation and fertilization way, can improve the grain yield (GY) and nitrogen use efficiency (NUE) of winter wheat to meet sustainable agriculture requirements. In order to clarify the physiological basis behind the improvements, a field experiment with a split-plot design was conducted during the 2020–2021 and 2021–2022 growing seasons. The main plot encompassed two irrigation and fertilization modes, namely, conventional irrigation and fertilization (CIF) and micro-sprinkling fertigation (MSF), and the subplots included four nitrogen application rates (0, 120, 180, and 240 kg ha⁻¹, denoted as N0, N120, N180, and N240, respectively). Moreover, a ¹⁵N isotopic tracer experiment was performed to determine the distributions of nitrogen in the soil. Compared with those under CIF, the GY under MSF at N180 and N240 significantly increased by 9.09% and 9.72%, which was driven mainly by increases in the grain number (GN) and thousand-grain weight (TGW). The increase in the TGW under MSF was the result of the significantly increased net photosynthesis rate at the grain-filling stage. Notably, the number and dry weight of inefficient tillers and the number of ears with fewer than 10 grains were significantly lower under MSF than those under CIF. In addition, the ¹⁵N isotopic tracer experiment revealed that nitrogen was primarily concentrated in the 0–30 cm soil layers under MSF, which conforms well with the spatial distributions of the roots and water, and subsequently improved the NUE under N180 and N240. In conclusion, MSF enhanced both the GY and NUE at the N180 level by optimizing root–water–nitrogen spatiotemporal coordination and reducing redundant tillering. Full article

The A* algorithm is broadly identified for its application in diverse fields, such as agriculture, robotics and GPS technology, due to its effectiveness in route planning. Despite its broad utility, the algorithm faces inherent limitations regarding operational efficiency and the length of the paths it generates. Addressing these constraints, this paper proposes an enhancement to the traditional A* algorithm that significantly improves its performance. Our innovative approach integrates Euclidean and Chebyshev distances into a single heuristic function, thereby enhancing pathfinding accuracy and flexibility. This combined heuristic leverages the strengths of both distance measures: the Euclidean distance provides an accurate straight-line measure between points, while the Chebyshev distance effectively handles scenarios allowing diagonal movement. Furthermore, we incorporate Bezier curves into the algorithm to smooth the generated paths. This addition is particularly advantageous in agricultural environments, where machinery must navigate complex terrains without causing damage to crops. The smooth paths produced by Bezier curves ensure more efficient and safer navigation in such settings. Comprehensive experiments conducted in various agricultural scenarios demonstrate the superior performance of the enhanced algorithm. These results reveal that the improved algorithm not only reduces the computation time needed for route planning but also generates shorter and smoother paths compared to the standard A* algorithm. The proposed approach significantly enhances the operational efficiency and route optimization capabilities of the A* algorithm, making it more suitable for complex and dynamic applications in agriculture. This advancement also holds promise for improving navigation systems in various other domains. Full article

With the world facing the twin pressures of a warming climate and an ever-increasing amount of waste, it is becoming increasingly clear that we need to rethink the way we generate energy and use materials. Despite growing awareness, our energy systems are still largely dependent on fossil fuels and characterized by a linear ‘take-make-dispose’ model. This leaves us vulnerable to supply disruptions, rising greenhouse gas emissions, and the depletion of critical raw materials. Hydrogen is emerging as a potential carbon-free energy vector that can overcome both challenges if it is produced sustainably from renewable sources. This study reviews hydrogen production from a circular economy perspective, considering industrial, agricultural, and municipal solid waste as a resource rather than a burden. The focus is on the reuse of waste as a catalyst or catalyst support for hydrogen production. Firstly, the role of hydrogen as a new energy carrier is explored along with possible routes of waste valorization in the process of hydrogen production. This is followed by an analysis of where and how catalysts from waste can be utilized within various hydrogen production processes, namely those based on using fossil fuels as a source, biomass as a source, and electrocatalytic applications. Full article

Agrivoltaic technology holds great significance for promoting the collaborative development of new energy industries and modern agriculture. A systematic optimization design and preliminary electrical scheme for a 50 MW agrivoltaic power station in Shaanxi Province, China, were studied in this work. A combination of checkerboard and long-row layouts was adopted, considering the influence of the shading rate on agricultural production and photovoltaic power generation. The checkerboard pattern features the highest system efficiency, the smallest irradiance loss, and a slight lead in power generation, with a moderate shading rate, when compared to the other patterns. The expected energy gain from the bifacial modules’ rear side in this specific setup is 7.6%. These layouts ensure the power generation efficiency of the photovoltaic power station, while minimizing the shading impact of shading on crop growth, thereby achieving efficient comprehensive utilization of agricultural greenhouses and solar power generation. The primary electrical system was designed, including the main wiring design, main transformer selection, and type selection of major electrical equipment. The research results provide a practical reference for the large-scale application of agrivoltaic power stations, which is beneficial to promoting the high-quality development of modern agriculture. Full article

The aim of this study was to evaluate the treatment efficiency and applicability of using textile-based mats as roof biofilters on urban buildings for purifying preliminary treated wastewater (PTW) collected from a three-chamber septic tank. Therefore, a pilot plant with a 15° pitched wooden roof and two tracks for laying two mats made of different materials—polypropylene (PP), designated as Mat 1, and polyethylene terephthalate (PET), designated as Mat 2—was constructed at ground level under outdoor conditions. The plant was operated in parallel for a period of 455 days. Significant differences (p < 0.05) were observed in the results of the mass removal efficiencies between the two mats, with Mat 1 achieving mean removals of five-day biochemical oxygen demand (BOD₅), chemical oxygen demand (COD), ammonium-nitrogen (NH₄-N), and total nitrogen (TN) of 85%, 73%, 75%, and 38%, respectively, and Mat 2 achieving comparatively higher removals of 97%, 84%, 90%, and 57%, respectively. The mean concentrations of BOD₅ and COD at the outflow of both mats met the minimum water quality requirements for discharge and successfully met the minimum water quality class B for agricultural reuse. However, the comparatively low mean E. coli removal efficiencies of 2.0 and 2.4 log-units in Mat 1 and Mat 2, respectively, demonstrate the need for an effluent disinfection system. Highly efficient mass removal efficiencies were observed in the presence of dense vegetation on the mats, which may lead to a potential improvement in the urban climate through high daily evapotranspiration. Overall, this study demonstrates the potential for using lightweight, textile-based mats on rooftops to efficiently treat PTW from urban buildings, offering a promising decentralized wastewater management approach for climate-resilient cities. Full article

Plants grow, develop, and reproduce within a rhythmic environment. Environmental cues—such as light, temperature, nutrition, water—initiate, sustain, or terminate basic physiological processes within the plant, such as photosynthesis, respiration, nutrient uptake, water management, transpiration, growth, and hormone regulation. Simultaneously, inside the plant, internal “living clocks” are ticking and helping plants to synchronize internal processes with environmental cues and defend themselves against stressful conditions. These clock-regulated processes underlie a variety of plant traits, such as germination capability, growth and development rate, time of flowering, fruiting and yielding, development of plant shape, and size and biomass production. Most of these physiological traits are important attributes of crop plants. In recent years, the growing understanding of environmental rhythms as environmental cues and the mechanisms underlying plant internal clocks has begun to play an increasingly important role in agricultural practices. This is an emerging area of research that integrates insights from chronobiology with practices in plant agriculture. In this review, this new research area is studied and mapped using Scopus, Web of Science, Google Scholar, Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA protocol), and VOSviewer1.6.20 software. The analyses were carried out on 18 July–27 August 2025. For the VOSviewer author keywords co-occurrence analysis, all 1022 documents covering the time range of the last 7.5–2.5 years (2018–July 2025) were included and three maps were generated. Additionally, 59 review documents covering the last 27 years (1988–July 2025) were extracted by relevance using Google Scholar. In this review, recent advances and topics in plant chronobiology were examined. The issue of how these advances respond to key challenges in plant agriculture was explored. The bidirectional influence between chronobiology and practices in plant agriculture were also considered. Full article

Modern agriculture requires effective and sustainable tools to enhance crop performance while minimizing the environmental impact. In this context, the application of fungal-derived bioactive compounds directly onto seeds represents a promising alternative. In this study, tomato seeds (Solanum lycopersicum) were subjected to mycopriming treatment using two fungal extracts obtained from the mycelium and culture filtrate of Talaromyces ruber. Two independent greenhouse trials were conducted to assess germination dynamics, morphometric traits, and physiological parameters (chlorophyll content, flavonol index, and anthocyanin index). Although germination rates were not significantly affected, root development was consistently enhanced by the treatments compared with the control group in both experiments. In contrast, no clear improvement was observed in shoot growth or leaf physiological parameters. Overall, the application of T. ruber extracts via seed priming proved to be a feasible strategy to stimulate early-stage root development in tomatoes, potentially contributing to improved seedling vigor and agronomic performance. These findings support the potential use of fungal extracts as practical tools for improving seedling quality in commercial nursery production. Full article

Background/Objectives: Dopamine (DA), a chemical commonly associated with neuroscience and human physiology, has been the subject of growing interest in the field of agriculture due to its potential applications. Methods: This comprehensive review examines the multifaceted role of dopamine in agricultural practices, elucidating its chemical characteristics, biological activities, and diverse applications. The review examines the chemical properties and physiological functions of dopamine in plants, highlighting the unique characteristics that make it suitable for agricultural applications. A significant portion of the review is dedicated to analyzing the biological activities of dopamine, particularly its antioxidant properties, and exploring the underlying mechanisms. The review also delves into the potential of dopamine to enhance crop growth, yield, and quality and investigates the influence of dopamine on plant physiology and metabolism. Results: Furthermore, the review provides a forward-looking perspective on the prospects of dopamine in agriculture, identifying emerging trends and areas of innovation that hold promise for sustainable and resilient farming systems. Conclusions: In summary, this review consolidates the current knowledge surrounding dopamine’s potential in agriculture, underscoring its versatility as a natural tool for growth enhancement and environmental sustainability, and offering valuable insights for researchers, practitioners, and policymakers seeking innovative approaches to address the challenges of modern agriculture. Full article

Fruits and vegetables are essential for a healthy diet, providing vital nutrients and contributing to global food security. Fungal pathogens that interact with fruits and vegetables reduce their quality and shelf life and lead to economic losses and risks to human health through the production of mycotoxins. Chemical fungicides, used to control postharvest pathogens, are posing serious environmental and health risks, driving interest in safer alternative strategies. Biocontrol methods using antagonistic microbes, such as yeasts, are eco-friendly, sustainable, and the most promising, but they often have limited efficacy and specificity in diverse produce. There is growing interest in the innovative enhancement of biocontrol strategies. The present review shows that inducing, enhancing, co-application, encapsulation, and post-application treatments are common enhancement techniques, while environmental, host, and pathogen characteristics, antagonistic microbial traits, and chemical inputs are the major gearing factors for the best application methods. These methods do not involve genetic modification, which is adequate to reduce the proliferation of GMOs (Genetically Modified Organisms) while optimizing antagonistic microbial performance by promoting growth, inducing host resistance, enhancing antifungal properties, improving adhesion, and boosting stress tolerance. Most enhancers fall under groups of nutritional additives, protective carriers, growth stimulants, and encapsulants. Integrating these enhancers and best methods promises reduced postharvest losses, supports sustainable agriculture, and addresses economic losses and food security challenges. This study highlights the role of organic and natural elicitors, their application methods, their mechanisms in improving BCAs (Biological Control Agents), and their overall efficiency. This review concisely compiles recent strategies, calling for further research to revolutionize fungal pathogen management, reduce food waste, and promote responsible farming practices. Full article

Key concepts such as “carbon footprint”, “carbon neutral”, “carbon neutrality”, “low carbon”, and “net-zero emissions” have gained prominence in the context of climate change, a current issue that has become an urgent global challenge caused by anthropogenic activities, including agriculture. This bibliometric review analyzed the use of these concepts in mitigation strategies for the coffee sector, since coffee production significantly contributes to greenhouse gas (GHG) emissions, primarily due to land use change, fertilizer use, and processing methods, and therefore, sustainable approaches within the whole coffee value chain need to be implemented. A total of 105 documents from the Scopus database, covering publications from January 1988 to June 2023, were analyzed. Co-word analysis and co-occurrence mapping techniques, together with traditional bibliometric laws and historical evolution analysis using VOSviewer and Bibliometrix, were applied. The evolution of research over time revealed that the first concept introduced for documenting the reduction in greenhouse gas (GHG) emissions was “low carbon emissions” in 1909, but it was not until 2008 that the first document was published establishing a link between “low carbon emissions” and “coffee”. In 2015, two more concepts, “carbon neutral” and “carbon neutrality”, documented since 1968 and 1995, respectively, were used in articles related to coffee. So far, the most relevant concept in quantifying GHG emissions in the context of coffee production activities has been “carbon footprint”. When it comes to new documents linking key concepts to coffee, between 2015 and 2018, there was an average of six documents per year. Since 2019, the average has remained at 15, highlighting the need to continue documenting climate change mitigation strategies in the coffee sector. Practical application of our findings for coffee sustainability programs must include the adoption of on-farm sustainable agricultural practices that span the entire value chain. In conclusion, this study underscores the importance of concepts such as “carbon footprint” and “carbon neutrality” as key pillars in the development of effective climate change mitigation strategies in the coffee sector and the significance of their integration into future research and global policies with practical applications, with far-reaching implications for sustainable agriculture in the near future. Full article