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Agronomy, Volume 15, Issue 11 (November 2025) – 50 articles

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21 pages, 11566 KB  
Article
Genome-Wide Characterization of the PaO Gene Family and Pyramiding Effects of Superior Haplotypes on Yield-Related Traits in Sorghum
by Jinbiao Li, Haoxiang Li, Ruochen Zhang, Yizhong Zhang, Juanying Zhao, Xiaojuan Zhang and Huiyan Wang
Agronomy 2025, 15(11), 2493; https://doi.org/10.3390/agronomy15112493 (registering DOI) - 27 Oct 2025
Abstract
The Pheophorbide a oxygenase (PaO) is a key enzyme in chlorophyll degradation and plays an important role in plant senescence. However, the PaO gene’s function in sorghum remains underexplored. In this study, we identified five SbPaO gene family members in the sorghum genome [...] Read more.
The Pheophorbide a oxygenase (PaO) is a key enzyme in chlorophyll degradation and plays an important role in plant senescence. However, the PaO gene’s function in sorghum remains underexplored. In this study, we identified five SbPaO gene family members in the sorghum genome through bioinformatics analysis. Analyses of gene structure, phylogeny, and collinearity revealed high conservation of this gene family among grass crops, suggesting similar functions. Subcellular localization and protein network predictions indicated that SbPaOs may participate in chlorophyll catabolism and regulate leaf senescence. Expression pattern analysis showed that SbPaO1, SbPaO3, SbPaO4, and SbPaO5 were highly expressed in leaves and significantly upregulated during senescence. Haplotype analysis found three SbPaO genes significantly linked to thousand-grain weight (TGW); superior haplotypes SbPaO1-hap4, SbPaO3-hap5, and SbPaO4-hap4 notably increased this trait. Single-gene improvements increased TGW by 10.57–17.20%, dual-gene aggregation by 18.78–24.75%, and three-gene aggregation by 29.09%. The study also developed Kompetitive Allele-Specific PCR (KASP) markers that identify superior haplotypes with 100% accuracy. In summary, this study’s results provide a theoretical basis and genetic resources for further exploration of haplotype pyramiding strategies to breed new high-yielding sorghum varieties and delineate a clear research direction for subsequent functional validation and breeding practices. Full article
(This article belongs to the Section Plant-Crop Biology and Biochemistry)
18 pages, 12716 KB  
Article
Monitoring of Root-Knot Nematodes (Meloidogyne spp.) in Croatia (2022–2024): Occurrence, Distribution and Species Identification
by Tamara Rehak Biondić, Jasna Milanović, Ivan Poje, Luka Popović, Mirjana Brmež and Barbara Gerič Stare
Agronomy 2025, 15(11), 2492; https://doi.org/10.3390/agronomy15112492 (registering DOI) - 27 Oct 2025
Abstract
Root-knot nematodes (RKNs) of the genus Meloidogyne spp., are among the most economically important groups of plant-parasitic nematodes worldwide, causing significant economic losses through yield reduction across a wide range of crops. In Croatia, although the presence of Meloidogyne spp. has been documented [...] Read more.
Root-knot nematodes (RKNs) of the genus Meloidogyne spp., are among the most economically important groups of plant-parasitic nematodes worldwide, causing significant economic losses through yield reduction across a wide range of crops. In Croatia, although the presence of Meloidogyne spp. has been documented for decades, data at the species level was limited. As accurate identification is crucial for implementation of effective management strategies, we attempted to fill this gap. This study presents the results of a national survey of RKNs affecting potato crops as well as an early warning programme targeting vegetable crops, conducted across Croatia between 2022 and 2024. Nematodes were identified using morphological analyses (female perineal patterns and second-stage juveniles) and molecular methods (PCR with group-specific and species-specific primers, as well as DNA sequencing). Meloidogyne spp. were detected in 61 out of 210 samples, corresponding to an infestation rate of 29%. Four species were identified: M. incognita, M. hapla, M. arenaria, and M. javanica. Notably, M. incognita and M. javanica are reported here for the first time in Croatia. These results provide updated insights into the distribution and identity of RKNs in Croatia, thereby establishing a foundation for the implementation of sustainable management strategies. Full article
(This article belongs to the Special Issue Nematode Diseases and Their Management in Crop Plants)
13 pages, 1139 KB  
Article
Analysis of Agronomic and Genetic Components of Conilon Clones in an Irrigated Production System in the Central Cerrado
by Thiago Paulo da Silva, Adriano Delly Veiga, Renato Fernando Amabile, Juaci Malaquias, Michelle Souza Vilela, Sônia Maria Costa Celestino, Arlini Rodrigues Fialho, João Victor Pinheiro Melo and Gustavo Barbosa Cobalchini Santos
Agronomy 2025, 15(11), 2491; https://doi.org/10.3390/agronomy15112491 (registering DOI) - 27 Oct 2025
Abstract
Canephora coffee genotypes developed in other growing regions, with traits of interest such as drought tolerance and high coffee bean yield, need to be introduced and characterized in other locations to check adaptability. The aim of this study was to check the agronomic [...] Read more.
Canephora coffee genotypes developed in other growing regions, with traits of interest such as drought tolerance and high coffee bean yield, need to be introduced and characterized in other locations to check adaptability. The aim of this study was to check the agronomic performance and determine the genetic parameters of the clonal canephora coffee cultivar Marilândia ES 8143, composed by twelve genotypes, developed by the Capixaba Institute of Research, Technical Assistance and Rural Extension (Instituto Capixaba de Pesquisa, Assistência Técnica e Extensão Rural—Incaper), in an irrigated system of the Central Cerrado region of Brazil. The study was conducted in the experimental areas of Embrapa Cerrados at 1050 m altitude in a center pivot irrigation system using a management system with water stress controlled for around 65 days. A randomized block experimental design was used with three replications, and each plot consisted of eight plants. The clones were planted in February 2019 and in 2021 and 2022. Phenotyping was carried out to evaluate the following traits: coffee bean yields, sieve retention percentages, plant height, canopy projection, number of pairs of plagiotropic branches, and frost damage using a scoring scale. Clone 5 stood out in mean value in the two years evaluated for bean yield. Clones 5, 6, 7, 8, and 9 had higher mean values for flat-type coffee beans in both years. Clones 1 and 5 exhibited mean values indicating good vegetative development. Clones 5 and 12 showed no visible symptoms for low air temperatures and frost effects. Highly significant differences were observed among the genotypes for all the morphoagronomic traits evaluated, and high values of heritability, genetic coefficients of variation, and selective accuracy showed conditions favorable to the selection of clones for the agronomic traits analyzed. Clones 1, 2 and 6 have values in lower groups for chlorogenic acids and caffeine, and in higher groups for protein and soluble solids, thus showing greater potential for obtaining quality beverages. Full article
(This article belongs to the Section Horticultural and Floricultural Crops)
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18 pages, 1304 KB  
Article
Manganese Deficiency, Soil Chemistry, and Root Dysfunction Drive Physiological and Metabolic Changes in Date Palm Under Field Conditions
by Sihem Ben Maachia and Ahmed Namsi
Agronomy 2025, 15(11), 2490; https://doi.org/10.3390/agronomy15112490 (registering DOI) - 27 Oct 2025
Abstract
Manganese (Mn) deficiency is a major factor underlying brittle leaf disease in date palm, yet its root-centered mechanisms under field conditions remain poorly understood. Nine mature palms (three per health category: healthy, asymptomatic Mn-deficient, and BLD-affected) were assessed for soil chemistry (pH, salinity), [...] Read more.
Manganese (Mn) deficiency is a major factor underlying brittle leaf disease in date palm, yet its root-centered mechanisms under field conditions remain poorly understood. Nine mature palms (three per health category: healthy, asymptomatic Mn-deficient, and BLD-affected) were assessed for soil chemistry (pH, salinity), root Mn concentration and hydraulics, canopy pigments and chlorophyll fluorescence (Fv/Fm), as well as metabolic responses. Elevated soil pH and variable salinity significantly constrained root Mn uptake and water conductance, leading to a ~60% decline in root Mn, a 20% reduction in root water content, an 80% loss of chlorophyll, and a 26% decrease in Fv/Fm. These changes induced strong metabolic reprogramming, including a twofold rise in glucose, increased protein content, and a tenfold enhancement in peroxidase activity. Asymptomatic palms already displayed early declines in pigments and fluorescence, highlighting their diagnostic value. This study demonstrates that soil-driven Mn deficiency impairs root function and cascades to canopy physiology and metabolism, offering realistic avenues for rhizosphere management and early field diagnosis in arid oases. Full article
(This article belongs to the Special Issue Role of Mineral Nutrition in Alleviation of Abiotic Stress in Crops)
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14 pages, 573 KB  
Article
Starch Granule Size Distribution and Pasting Properties from 14 Soft Wheat Varieties in Huaihe River Basin
by Abdul Rehman, Wenyin Zhou, Suhui Yan, Juan Chen, Tingting Yang, Jing Li, Yang Liu, Ruilian Zhang and Wenyang Li
Agronomy 2025, 15(11), 2489; https://doi.org/10.3390/agronomy15112489 (registering DOI) - 27 Oct 2025
Abstract
Starch granule size distribution plays a vital role in determining the physicochemical properties and processing quality of soft wheat. This study analyzed fourteen soft wheat varieties cultivated in the Huaihe River Basin, an agriculturally important but underrepresented region, to evaluate starch granule size [...] Read more.
Starch granule size distribution plays a vital role in determining the physicochemical properties and processing quality of soft wheat. This study analyzed fourteen soft wheat varieties cultivated in the Huaihe River Basin, an agriculturally important but underrepresented region, to evaluate starch granule size distribution, pasting properties, and their interrelationship. The starch granules were categorized into four size classes, with the volume dominated by A-type granules (>10 μm), while numerically, the majority were <2.8 μm. Pasting characteristics measured by the Rapid Visco Analyzer revealed substantial variation among genotypes. Varieties with a higher proportion of A-type granules exhibited stronger pasting profiles, including higher peak and final viscosities, whereas those with more B-type granules showed lower values. These observations indicate a clear relationship between granule morphology and starch functionality. In the present study, there was a significant positive correlation between peak viscosity, final viscosity, and set-back viscosity. The volume % of granules > 10 μm showed a positive correlation with peak viscosity (r = 0.53 *), final viscosity (r = 0.57 *), and set-back (r = 0.53 *), while the volume percentage of granules < 10 μm was significantly negatively correlated with peak viscosity (r = −0.53 *), final viscosity (r = −0.57 *), and set-back (r = −0.53 *) value. It indicated that the higher the percentage of granules > 10 μm, the higher the peak viscosity, final viscosity, and set-back value in soft wheat grain. Full article
(This article belongs to the Section Plant-Crop Biology and Biochemistry)
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14 pages, 968 KB  
Article
Biological Control Potential of Entomopathogenic Fungi Against Aleurocanthus spiniferus: Field Trials on Citrus sinensis in Agroforestry Ecosystems
by Spiridon Mantzoukas, Vasileios Papantzikos, Thomais Sourouni, Chrysanthi Zarmakoupi, Alexandros Margaritis, Panagiotis A. Eliopoulos and George Patakioutas
Agronomy 2025, 15(11), 2488; https://doi.org/10.3390/agronomy15112488 (registering DOI) - 26 Oct 2025
Abstract
The citrus spiny whitefly Aleurocanthus spiniferus (Quaintance), recently found in Greece, causes severe damage to the leaves and fruits of tree crops, and treatment against it is urgent. In this work, integrated treatments for the management of the A. spiniferus pest on Citrus [...] Read more.
The citrus spiny whitefly Aleurocanthus spiniferus (Quaintance), recently found in Greece, causes severe damage to the leaves and fruits of tree crops, and treatment against it is urgent. In this work, integrated treatments for the management of the A. spiniferus pest on Citrus sinensis (L.) trees, which causes intense damage to orange orchards, were studied. The experiment was carried out in an orange orchard on the Aitoloakarnania plain, an agroforestry ecosystem, and three treatments were set up: (i) a combined treatment comprising the entomopathogenic fungi Beauveria bassiana and Cordyceps fumosorosea, (ii) treatment with the application of a tetramic acid-based formulation, (iii) the control treatment. The damage caused by A. spiniferus was estimated by determining the pest stages on the C. sinensis leaves, samples of which were collected and examined at the entomology laboratory of the Agriculture Faculty of the University of Ioannina for the calculation of populations. The experimental results of this work encourage us to further investigate the use of the treatments against whiteflies, highlighting the potential of EPF for integrated pest management (IPM) in citrus trees. Full article
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13 pages, 1964 KB  
Article
Effects of Pig Manure Compost Application Timing (Spring/Autumn) on N2O Emissions and Maize Yields in Northeast China
by Dan Dong, Weichao Yang, Mingfu Gao, Jian Gu, Hao Sun, Shuang Kong and Hui Xu
Agronomy 2025, 15(11), 2487; https://doi.org/10.3390/agronomy15112487 (registering DOI) - 26 Oct 2025
Abstract
Animal manure application is widely recognized for its agronomic benefits in enhancing soil fertility and crop productivity through organic matter enrichment and nutrient supply, but the critical application time governing its greenhouse gas emission trade-offs remains unresolved. The objective of this study was [...] Read more.
Animal manure application is widely recognized for its agronomic benefits in enhancing soil fertility and crop productivity through organic matter enrichment and nutrient supply, but the critical application time governing its greenhouse gas emission trade-offs remains unresolved. The objective of this study was to investigate the effects of pig manure compost application timing on nitrous oxide (N2O) emissions and maize yields in Northeast China through a four-year field experiment. The treatments included: (1) inorganic fertilizers (NPK); (2) NPK plus pig manure compost applied in spring (NPK-MS); and (3) NPK plus pig manure compost applied in autumn (NPK-MA). The N2O fluxes, NH4+-N contents, NO3-N contents, and maize yields were analyzed. The results showed that compared with NPK, NPK-MA increased N2O emissions by 44.4%. Applying pig manure compost in autumn promotes N2O emissions during the freeze–thaw period. However, there was no significant effect of NPK-MS on N2O emissions compared with NPK (p > 0.05). Spring-applied manure compost (NPK-MS) resulted in an 11.9% increase in maize yield compared to NPK. In contrast, autumn-applied manure compost (NPK-MA) did not significantly affect maize yield (p > 0.05). Furthermore, yield-scaled N2O emissions were significantly increased in NPK-MA (p < 0.05). Overall, spring application of pig manure compost is recommended for increasing maize yield without significantly increasing N2O emissions while in Northeast China. Full article
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21 pages, 9557 KB  
Article
Joint Effects of Climate and Phenology on Agricultural and Ecological Resource Productivity
by Fuxiang Zhang, Zhaoyang Jia, Liang Guo, Zihan Song and Song Cui
Agronomy 2025, 15(11), 2486; https://doi.org/10.3390/agronomy15112486 (registering DOI) - 26 Oct 2025
Abstract
Gross primary productivity (GPP) serves as a critical indicator of carbon uptake in agricultural and natural ecosystems, quantifying the extent of carbon dioxide fixation through photosynthesis. Understanding the influence of climate, phenology, and elevation on GPP is essential for achieving carbon neutrality and [...] Read more.
Gross primary productivity (GPP) serves as a critical indicator of carbon uptake in agricultural and natural ecosystems, quantifying the extent of carbon dioxide fixation through photosynthesis. Understanding the influence of climate, phenology, and elevation on GPP is essential for achieving carbon neutrality and ensuring sustainable agricultural and ecosystem management. This study adopts a novel methodology that integrates the Shapley Additive Explanations analysis framework with the XGBoost model (R 4.3.3 package xgboost 1.7.7.1) to elucidate complex nonlinear interactions among the factors under investigation. The results show that from 2001 to 2022, GPP increased at an average rate of 6.77 g C/m2/year, with forests exhibiting the highest productivity (>900 g C/m2) compared to grasslands and croplands (300–600 g C/m2). Phenological changes, such as a 0.44 d/year extension in the growing season and a 0.20 d/year advancement in its peak, highlight the significant impact of climate change on vegetation growth. SHAP analysis further identifies precipitation as the primary driver for croplands, growing season length for forests, and temperature for grasslands. These findings support global initiatives aimed at achieving sustainable development goal 13 (Climate Action) by offering actionable insights for adaptive land use policies and carbon-neutrality strategies. Full article
(This article belongs to the Section Agroecology Innovation: Achieving System Resilience)
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18 pages, 4411 KB  
Article
Spectral Index Optimization and Machine Learning for Hyperspectral Inversion of Maize Nitrogen Content
by Yuze Zhang, Caixia Huang, Hongyan Li, Shuai Li and Junsheng Lu
Agronomy 2025, 15(11), 2485; https://doi.org/10.3390/agronomy15112485 (registering DOI) - 26 Oct 2025
Abstract
Hyperspectral remote sensing provides a powerful tool for crop nutrient monitoring and precision fertilization, yet its application is hindered by high-dimensional redundancy and inter-band collinearity. This study aimed to improve maize nitrogen estimation by constructing three types of two-dimensional full-band spectral indices—Difference Index [...] Read more.
Hyperspectral remote sensing provides a powerful tool for crop nutrient monitoring and precision fertilization, yet its application is hindered by high-dimensional redundancy and inter-band collinearity. This study aimed to improve maize nitrogen estimation by constructing three types of two-dimensional full-band spectral indices—Difference Index (DI), Simple Ratio Index (SRI), and Normalized Difference Index (NDI)—combined with spectral preprocessing methods (raw spectra (RAW), first-order derivative (FD), and second-order derivative (SD)). To optimize feature selection, three strategies were evaluated: Grey Relational Analysis (GRA), Pearson Correlation Coefficient (PCC), and Variable Importance in Projection (VIP). These indices were then integrated into machine learning models, including Backpropagation Neural Network (BP), Random Forest (RF), and Support Vector Regression (SVR). Results revealed that spectral index optimization substantially enhanced model performance. NDI consistently demonstrated robustness, achieving the highest grey relational degree (0.9077) under second-derivative preprocessing and improving BP model predictions. PCC-selected features showed superior adaptability in the RF model, yielding the highest test accuracy under raw spectral input (R2 = 0.769, RMSE = 0.0018). VIP proved most effective for SVR, with the optimal SD–VIP–SVR combination attaining the best predictive performance (test R2 = 0.7593, RMSE = 0.0024). Compared with full-spectrum input, spectral index optimization effectively reduced collinearity and overfitting, improving both reliability and generalization. Spectral index optimization significantly improved inversion accuracy. Among the tested pipelines, RAW-PCC-RF demonstrated robust stability across datasets, while SD-VIP-SVR achieved the highest overall validation accuracy (R2 = 0.7593, RMSE = 0.0024). These results highlight the complementary roles of stability and accuracy in defining the optimal pipeline for maize nitrogen inversion. This study highlights the pivotal role of spectral index optimization in hyperspectral inversion of maize nitrogen content. The proposed framework provides a reliable methodological basis for non-destructive nitrogen monitoring, with broad implications for precision agriculture and sustainable nutrient management. Full article
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22 pages, 3009 KB  
Article
Probabilistic Assessment of Crop Yield Loss Under Drought and Global Warming in the Canadian Prairies
by Mohammad Zare, David Sauchyn, Amin Roshani and Zahra Noorisameleh
Agronomy 2025, 15(11), 2484; https://doi.org/10.3390/agronomy15112484 (registering DOI) - 25 Oct 2025
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Abstract
This study assessed the vulnerability of canola, spring wheat, and barley yields in the Canadian Prairies to drought stress under future climate scenarios, integrating DSSAT crop models with NEX-GDDP CMIP6 projections and probabilistic copula analysis. The DSSAT simulations reproduced historical yields with high [...] Read more.
This study assessed the vulnerability of canola, spring wheat, and barley yields in the Canadian Prairies to drought stress under future climate scenarios, integrating DSSAT crop models with NEX-GDDP CMIP6 projections and probabilistic copula analysis. The DSSAT simulations reproduced historical yields with high accuracy (d > 0.7, nRMSE < 15–20%), confirming its applicability for Prairie agroecosystems. Results indicate distinct crop-specific sensitivities to warming: barley showed relative resilience with modest yield gains (~10%) at 1.5–2 °C of global warming (GW), wheat exhibited heterogeneous responses with early minor gains (~1%) followed by declines (~8%) beyond 3 °C of GW, and canola displayed consistent and substantial losses (20–37%) even under moderate warming. Spatial analysis highlighted relatively stable regions in northern Alberta, central Saskatchewan, and southern Manitoba (Gray and Black soil zones), while the southern and southwestern Prairie areas (Brown and Black-Brown zones) showed the greatest yield declines. Copula-based analysis further revealed that canola is most vulnerable to dry conditions, with yield exceedance probabilities falling from 62% (wet years) to ~25–28% (dry years) under GW. These findings underscore that Prairie crop production faces increasingly heterogeneous risks, with canola emerging as the most climate-sensitive crop. Targeted adaptation strategies such as stress-tolerant cultivars, shifting cropping zones, and improved water management will be essential to mitigate projected drought impacts and sustain Prairie agricultural productivity. Full article
(This article belongs to the Special Issue Agroclimatology and Crop Production: Adapting to Climate Change)
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14 pages, 2092 KB  
Article
Toxicity of Tris(2-chloroethyl) Phosphate (TCEP) to Alfalfa’s Root System: An Insight into TCEP’s Damage to Morphology, Respiration, and Antioxidant Systems
by Meijun Liu, Liangzhu Gong, An Yan, Wenjing Liu, Haojie Li and Peiyi Guo
Agronomy 2025, 15(11), 2483; https://doi.org/10.3390/agronomy15112483 (registering DOI) - 25 Oct 2025
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Abstract
Tris(2-chloroethyl) phosphate (TCEP), as an organophosphate contaminant, poses a significant threat to the growth and development of plants, especially roots. This study aimed to clarify the mechanisms of TCEP’s toxicity and damage to root systems, as well as the mechanisms of its damage [...] Read more.
Tris(2-chloroethyl) phosphate (TCEP), as an organophosphate contaminant, poses a significant threat to the growth and development of plants, especially roots. This study aimed to clarify the mechanisms of TCEP’s toxicity and damage to root systems, as well as the mechanisms of its damage to the respiration and energy metabolism of alfalfa root cells. The results showed that TCEP obviously affected the root length, root surface area, root volume, and root diameter of alfalfa. With increasing stress intensity, the total mitochondrial respiration rate and Cytochrome C Oxidase (COX) pathway respiration rate progressively declined, while the Alternative Oxidase (AOX) pathway respiration rate and its proportion of total respiration gradually rose. In addition, adenosine triphosphate (ATP) content and root vigor were significantly reduced. Moreover, with an increase in TCEP concentration, root superoxide anion radical content in alfalfa root cells was significantly elevated, while superoxide dismutase (SOD) and catalase (CAT) activities were significantly lowered, and ascorbate peroxidase (APX) and peroxidase (POD) activities were significantly enhanced. The present study indicated that respiration was disrupted, causing a lack of ATP in root cells under TCEP. Both the overproduction of reactive oxygen species (ROS) from the mitochondrial respiratory electron transport chain (mECT) and the deficiency of ROS-scavenging enzymes caused ROS accumulation, which led to the destruction of the cell membrane structure and exacerbated the disruption of the respiratory metabolism. The disruption of the conversion and reuse of energy by TCEP affected root growth and development. Full article
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13 pages, 4997 KB  
Article
Impact of Artificial Humic Acid on the Migration and Transformation of Soil Phosphorus
by Lin Zhao, Yun Hao, Markus Antonietti, Ying Zhao, Fan Yang and Zhuqing Liu
Agronomy 2025, 15(11), 2482; https://doi.org/10.3390/agronomy15112482 (registering DOI) - 25 Oct 2025
Viewed by 106
Abstract
Phosphorus (P) is a critical factor in enhancing agricultural yield improvement, but the over-application of P fertilizers has led to the widespread accumulation of ineffective P in soils worldwide. Artificial humic acid (AHA) has gained recognition as a new method for enhancing P [...] Read more.
Phosphorus (P) is a critical factor in enhancing agricultural yield improvement, but the over-application of P fertilizers has led to the widespread accumulation of ineffective P in soils worldwide. Artificial humic acid (AHA) has gained recognition as a new method for enhancing P effectiveness in soils. This study aims to explore the patterns and mechanisms underlying the effect of AHA on P effectiveness. A 60-day indoor incubation experiment was conducted using a soil column system, in which the soil was fractionated into five distinct particle size classes: 2 mm, 4 mm, 6 mm, 8 mm, and 10 mm. Findings revealed that AHA effectively promoted the accumulation of Olsen-P in fine-textured soils. Following the application of AHA, the fraction of particles with a size of 2 mm exhibited the highest increase in Olsen-P, at 15.4%, whereas the fraction with a size of 8 mm showed the lowest increase, at 0.2% relative to the control, at the 60th day. Additionally, AHA promoted the migration of HCl-P while enhancing the immobilization of Olsen-P. During the initial cultivation phase, the concentrations of HCl-P in the topsoil (0 cm) differed little from those in the deeper soil (40 cm). As cultivation progressed, the concentrations of NaOH-P and HCl-P in the 0 cm soil decreased more markedly than those at the 40 cm depth by the later cultivation stage. Finally, the structural equation modeling results indicated that among NaHCO3-P, NaOH-P, and HCl-P, NaOH-P had the most significant effect on Olsen-P. These findings offer valuable insights into how AHA could be used to improve the effectiveness of P in soils. Full article
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21 pages, 2903 KB  
Review
Nematode Detection and Classification Using Machine Learning Techniques: A Review
by Arjun Neupane, Tej Bahadur Shahi, Richard Koech, Kerry Walsh and Philip Kibet Langat
Agronomy 2025, 15(11), 2481; https://doi.org/10.3390/agronomy15112481 (registering DOI) - 25 Oct 2025
Viewed by 173
Abstract
Nematode identification and quantification are critical for understanding their impact on agricultural ecosystems. However, traditional methods rely on specialised expertise in nematology, making the process costly and time-consuming. Recent developments in technologies such as Artificial Intelligence (AI) and computer vision (CV) offer promising [...] Read more.
Nematode identification and quantification are critical for understanding their impact on agricultural ecosystems. However, traditional methods rely on specialised expertise in nematology, making the process costly and time-consuming. Recent developments in technologies such as Artificial Intelligence (AI) and computer vision (CV) offer promising alternatives for automating nematode identification and counting at scale. This work reviews the current literature on nematode detection using AI techniques, focusing on their application, performance, and limitations. First, we discuss various image analysis, machine learning (ML), and deep learning (DL) methods, including You Only Look Once (YOLO) models, and evaluate their effectiveness in detecting and classifying nematodes. Second, we compare and contrast the performance of ML- and DL-based approaches on different nematode datasets. Next, we highlight how these techniques can support sustainable agricultural practices and optimise crop productivity. Finally, we conclude by outlining the key opportunities and challenges in integrating ML and DL methods for precise and efficient nematode management. Full article
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21 pages, 2876 KB  
Article
Growth and Nutritional Enhancement of Lisianthus (Eustoma grandiflorum (Raf.) Shinn.) via Dual AMF Inoculation Under Phosphorus Regimes
by Morteza Sheikh-Assadi, Mohammadreza Taheri, Azizollah Khandan-Mirkohi, Mesbah Babalar, Mahdi Khansefid, Mohammad Omidi and Dionisios Gasparatos
Agronomy 2025, 15(11), 2480; https://doi.org/10.3390/agronomy15112480 (registering DOI) - 25 Oct 2025
Viewed by 160
Abstract
The arbuscular mycorrhizal fungi (AMF) form symbiotic, mutually beneficial relationships in the rhizosphere, and modulate phosphorus’ (P) availability to regulate plant growth, nutrient uptake, and quality. However, their roles in cut-flower species remain poorly understood. The aim of this study was to evaluate [...] Read more.
The arbuscular mycorrhizal fungi (AMF) form symbiotic, mutually beneficial relationships in the rhizosphere, and modulate phosphorus’ (P) availability to regulate plant growth, nutrient uptake, and quality. However, their roles in cut-flower species remain poorly understood. The aim of this study was to evaluate the effects of single and dual inoculation with Glomus intraradices and G. mosseae on Lisianthus (Eustoma grandiflorum) grown under three P levels (10, 20, and 40 mg kg−1) in greenhouse conditions. Under intermediate P, dual-inoculated plants exhibited the greatest above-ground vigor, with increases in stem length (+31%), dry shoot weight (+67%), and highest shoot P (+54%) and N (+23%) content, compared with non-inoculated controls. Under low P, dual inoculation maximized dry root weight (+63%) and mycorrhizal colonization, whereas AMF effects diminished at high P. Principal component analysis showed that there were distinct mycorrhizal interactions (PCA2, 20.3% variance) and a close integration between vegetative growth and nutrient accumulation (PCA1, 54.3% variance). For the first time, this study demonstrates that Lisianthus exhibits a strong response to dual AMF inoculation, offering a novel strategy to enhance growth, nutrition, and ornamental quality when P fertilization is optimized. By reducing chemical fertilizer use, this dual AMF–P management offers a sustainable framework for high-quality cut-flower production. Full article
(This article belongs to the Special Issue Microorganisms in Agriculture—Nutrition and Health of Plants)
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17 pages, 2867 KB  
Article
Onion Yield Analysis Using a Satellite Image-Based Soil Moisture Prediction Model
by Junyoung Seo, Sumin Kim and Sojung Kim
Agronomy 2025, 15(11), 2479; https://doi.org/10.3390/agronomy15112479 (registering DOI) - 25 Oct 2025
Viewed by 141
Abstract
From 2020 to 2021, crop production increased by 54% globally, and the popularity of commercial agriculture to increase profitability is gradually increasing. However, global warming and climate issues make it difficult to maintain stable crop production. To improve crop production efficiency, techniques for [...] Read more.
From 2020 to 2021, crop production increased by 54% globally, and the popularity of commercial agriculture to increase profitability is gradually increasing. However, global warming and climate issues make it difficult to maintain stable crop production. To improve crop production efficiency, techniques for efficiently managing large-scale commercial farmland are needed. This study proposes a satellite image-based soil moisture and onion yield prediction technique as a methodology for managing large-scale farmland. This preemptive soil moisture management technique effectively manages increased soil pressure, resulting in soil drying due to rising temperatures. To remotely identify agricultural land, vegetation indices were extracted from satellite image data, and K-means clustering was applied. Ensemble machine learning is performed on soil images collected from satellite images. This model combines soil physical properties with soil environmental factor information to develop a model. The results show that soil color information obtained from satellite images is highly correlated with soil organic matter content. The proposed model is validated using crop yield data and environmental factor data obtained from actual crop production experiments. Consequently, the proposed methodology can be effectively applied to manage large-scale farmland and enables decision-making to improve profitability. Full article
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18 pages, 2536 KB  
Article
Agronomic Potential and Limitations of Factory-Derived Tea Waste in Kale Cultivation Under Drought Stress
by Alparslan Oğuz and Hatice Filiz Boyacı
Agronomy 2025, 15(11), 2478; https://doi.org/10.3390/agronomy15112478 (registering DOI) - 25 Oct 2025
Viewed by 139
Abstract
Plant-derived wastes are increasingly explored as organic matter sources for sustainable agriculture. Tea waste, a by-product of industrial tea processing, is often regarded as an environmental pollutant, yet its potential for agricultural use remains conditional and requires careful evaluation. This study examined the [...] Read more.
Plant-derived wastes are increasingly explored as organic matter sources for sustainable agriculture. Tea waste, a by-product of industrial tea processing, is often regarded as an environmental pollutant, yet its potential for agricultural use remains conditional and requires careful evaluation. This study examined the effects of factory-derived tea waste on kale (Brassica oleracea var. acephala) under drought stress. Plants were grown in soils amended with 5% or 10% tea waste and subjected to mild (75% field capacity) and moderate (50% field capacity) water deficits, compared with full irrigation (100% field capacity). Fifteen morphological and physiological parameters were assessed, and data were analyzed using principal component analysis (PCA) and correlation heatmaps to identify trait associations and stress markers. Drought stress significantly reduced all growth and yield traits, with stronger effects under more severe water deficit. Tea waste generally exacerbated stress impacts, increasing damage indices, reducing plant height, and lowering chlorophyll values. However, 10% tea waste under non-stress conditions increased plant and root dry weights without negatively affecting other traits, suggesting a partial nutrient contribution. In contrast, 5% tea waste aggravated stress effects, likely due to phenolic and caffeine toxicity. Overall, raw tea waste was found to be unsuitable for kale production under drought conditions. To harness its potential, bioactive compounds must be degraded or removed, and the material stabilized through composting or biochar conversion for safe integration into drought-resilient systems. Full article
(This article belongs to the Section Horticultural and Floricultural Crops)
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18 pages, 1013 KB  
Article
Pre-Breeding of Promising Coffea canephora Genotypes
by Danielle Inácio Alves, Silvio de Jesus Freitas, Silvério de Paiva Freitas, Julio Cesar Fiorio Vettorazzi, Lucas Louzada Pereira, Aldemar Polonini Moreli, Fábio Luiz Partelli, Sávio da Silva Berilli, João Batista Esteves Peluzio, Poliany de Oliveira Barbosa, José Elias Alves Adão, Mayra da Silva Polastrelli Lima and Ana Paula Candido Gabriel Berilli
Agronomy 2025, 15(11), 2477; https://doi.org/10.3390/agronomy15112477 (registering DOI) - 25 Oct 2025
Viewed by 179
Abstract
This study evaluated the genetic diversity of 33 Coffea canephora genotypes through morphophysiological and molecular analyses, aiming to identify promising genotypes for pre-breeding purposes in the southern region of Espírito Santo, Brazil. Cutting-propagated seedlings were evaluated 120 days after planting, considering height, stem [...] Read more.
This study evaluated the genetic diversity of 33 Coffea canephora genotypes through morphophysiological and molecular analyses, aiming to identify promising genotypes for pre-breeding purposes in the southern region of Espírito Santo, Brazil. Cutting-propagated seedlings were evaluated 120 days after planting, considering height, stem and crown diameter, number of leaves, fresh and dry shoot and root weight, chlorophyll content, and root characteristics. Molecular analysis was performed on 32 genotypes; one was excluded due to absent DNA, and 18 ISSR markers were used. Morphological data were analyzed by ANOVA, Scott–Knott’s mean test, principal component analysis, and cluster analysis. The results revealed significant diversity among genotypes. The first two principal components explained 75.5% of the total variability. Genotypes 2, 3, 4, 5, 6, 10, 32, and 33 stood out as those that produced the most vigorous seedlings. Molecular analysis also revealed genetic diversity among genotypes, with the formation of 16 groups, while the morphophysiological analysis revealed four groups. The Mantel test demonstrated a small but significant positive difference (r = 0.228; p = 0.018) between the genetic and morphophysiological distances of the genotypes. This diversity indicates that the genotypes evaluated are promising for use in C. canephora breeding programs. Full article
(This article belongs to the Section Crop Breeding and Genetics)
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15 pages, 2201 KB  
Article
Avocado Sustains a Complex of Neosilba spp. (Diptera: Lonchaeidae) in Veracruz, Mexico
by Rodrigo Lasa, Laura Navarro-de-la-Fuente, Iain MacGowan and Trevor Williams
Agronomy 2025, 15(11), 2476; https://doi.org/10.3390/agronomy15112476 (registering DOI) - 24 Oct 2025
Viewed by 78
Abstract
Avocado (Persea americana Miller), a crop of major economic importance in Mexico, is threatened by several quarantine pests, and recent reports have suggested that the lance fly Neosilba batesi (Diptera: Lonchaeidae) may be responsible for significant yield losses. To clarify the role [...] Read more.
Avocado (Persea americana Miller), a crop of major economic importance in Mexico, is threatened by several quarantine pests, and recent reports have suggested that the lance fly Neosilba batesi (Diptera: Lonchaeidae) may be responsible for significant yield losses. To clarify the role of this species, we surveyed avocados from six localities in Veracruz State on the Gulf coast of Mexico and identified lance flies using both morphological and molecular tools. None of the symptoms previously attributed to N. batesi infestation in Hass avocado were observed in any of the fruits inspected across the six localities. However, 90 fruits displayed clear signs of borer attack by Conotrachelus spp. or other primary pests, and 64 of these damaged fruits (60%) yielded lance flies. Hass avocados were rarely infested and hosted only N. batesi, whereas creole avocados (P. americana var. drymifolia) were hosts to N. batesi, N. glaberrima, N. recurva, and N. flavitarsis and an undescribed species (Neosilba sp.3) that was detected by analysis of the COI gene sequences of males. Additionally, Lonchaea cristula was reported for the first time emerging from creole avocado. Each avocado yielded an average of between 2.3 and 21.0 adult lance flies. Infestation was more frequent and numerous in fruits collected from the ground than in those harvested directly from trees, supporting the idea that lance flies preferentially exploit pre-damaged or fallen fruits. Indeed, lonchaeid eggs were frequently observed deposited on the periphery or inside oviposition holes created by other pests. Overall, our results indicate that Neosilba spp. act as secondary invaders in Veracruz, with no evidence of N. batesi behaving as a primary pest in this region. None of the avocados were infested by species of Tephritidae and none of the Neosilba species we identified appear to pose a threat to avocado production in Mexico. This study highlights the value of combining morphological and molecular tools for species identification and underscores the importance of differentiating between primary and secondary invaders in the context of avocado pest management. Full article
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20 pages, 2506 KB  
Article
Chlormequat Chloride and Uniconazole Regulate Lodging Resistance and Yield Formation of Wheat Through Different Strategies
by Huimin Li, Tao Li, Wenan Weng, Gege Cui, Haipeng Zhang, Zhipeng Xing, Luping Fu, Bingliang Liu, Haiyan Wei, Hongcheng Zhang and Guangyan Li
Agronomy 2025, 15(11), 2475; https://doi.org/10.3390/agronomy15112475 (registering DOI) - 24 Oct 2025
Viewed by 63
Abstract
Lodging is one of the key limiting factors in achieving high wheat yield. The application of plant growth retardants (PGRts) is regarded as an effective practice to prevent lodging. For accurate PGRt selection and the establishment of stable, high-yield production plans, it is [...] Read more.
Lodging is one of the key limiting factors in achieving high wheat yield. The application of plant growth retardants (PGRts) is regarded as an effective practice to prevent lodging. For accurate PGRt selection and the establishment of stable, high-yield production plans, it is essential to make clear the regulation strategies for lodging resistance and yield in PGRts. Field experiments were conducted at two test sites. At the initial jointing stage of wheat, Chlormequat Chloride (CCC) or Uniconazole (S3307) was sprayed. Compared with the control (CK), spraying CCC or S3307 significantly reduced the culm lodging index (CLI) and decreased the lodging rate from 7.1% to 15.6%. CCC was more capable of adjusting plant morphology (reducing plant height and second internode length and increasing stem diameter), while S3307 was more effective in enhancing breaking strength. The contents of GA, IAA, and zeatin nucleoside (ZR) and the activities of lignin-related enzymes (TAL and CAD) were significantly correlated with different stem indicators and CLI. Compared with CK, the yield after spraying CCC or S3307 increased by 6.5% and 6.0%, respectively. CCC mainly enhanced the yield by increasing grain weight per spike and the SPAD value of leaves, while S3307 mainly did so by increasing the number of spikes and the effective leaf area. Moreover, carbon metabolism-related enzymes (Rubisco, SS, and SPS) were significantly positively correlated with the yield. The enzyme activity of CCC was higher at the heading stage, while that of S3307 was higher at the filling stage. Hence, spraying CCC or S3307 can significantly enhance lodging resistance and yield. The optimal PGRts should be selected based on the climate and the growth stage of the wheat. Full article
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18 pages, 4029 KB  
Article
Distribution of Phosphorus Forms Along the Altitude Gradient in the Soil of the Qinghai–Tibetan Plateau and the Influencing Factors
by Zhiyuan Cao, Zhan Liu, Xueting Li, Cuilan Li, Ning Zong, Jinjing Zhang and Nianpeng He
Agronomy 2025, 15(11), 2474; https://doi.org/10.3390/agronomy15112474 (registering DOI) - 24 Oct 2025
Viewed by 68
Abstract
Phosphorus (P) is a key limiting nutrient in alpine meadows. Analyzing the spatial distribution of soil P and its forms along altitudinal gradients is crucial to understand soil nutrient cycling and sustain productivity under climate change. In this study, changes in the total [...] Read more.
Phosphorus (P) is a key limiting nutrient in alpine meadows. Analyzing the spatial distribution of soil P and its forms along altitudinal gradients is crucial to understand soil nutrient cycling and sustain productivity under climate change. In this study, changes in the total P, available P, inorganic P (Pi), and organic P (Po) contents in soil along an altitudinal gradient of 4400–5200 m on the Qinghai–Tibetan Plateau were investigated using sequential chemical fractionation and solution 31P nuclear magnetic resonance (NMR). The results showed that the contents of total soil P, available P, Pi, and Po forms showed vertical distribution patterns. At an altitude of 4400–4950 m, the dominance of NaOH-Po was observed, whereas HCl-Pi was predominant at 5200 m. With increasing elevation, total soil P, orthophosphate, NaHCO3-Pi, NaOH-Pi, HCl-Pi, and HCl-Po contents increased gradually. In contrast, the concentrations of available P, H2O-Pi, H2O-Po, NaHCO3-Po, NaOH-Po, pyrophosphate, orthophosphate monoester, and diester initially increased, peaked at approximately 4950 m, and subsequently decreased. Both climatic factors (i.e., mean annual temperature and precipitation) and biological factors (aboveground biomass and enzyme activity) jointly regulated the vertical distribution of soil P forms in the alpine ecosystems. Full article
(This article belongs to the Section Soil and Plant Nutrition)
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13 pages, 1787 KB  
Article
Forage Potential of Faba Bean By-Products: A Comprehensive Analysis of Proximate Nutrients, Mineral Content, Bioactive Components, and Antioxidant Activities
by Shucheng Duan, Soon-Jae Kwon, Ji Won Kim, Ji Hye Kim, Jeong Woo Lee, Min-Seok Kim, Moo-Yeol Baik and Seok Hyun Eom
Agronomy 2025, 15(11), 2473; https://doi.org/10.3390/agronomy15112473 (registering DOI) - 24 Oct 2025
Viewed by 59
Abstract
The global feed gap, driven by seasonal shortages and climate change, highlights the need for novel forage resources. Vicia faba (Faba bean) produces substantial above-ground biomass as residue after fresh pod harvest, which remains underutilized. This study comprehensively evaluated the forage potential of [...] Read more.
The global feed gap, driven by seasonal shortages and climate change, highlights the need for novel forage resources. Vicia faba (Faba bean) produces substantial above-ground biomass as residue after fresh pod harvest, which remains underutilized. This study comprehensively evaluated the forage potential of faba bean leaves and stems across three growth stages: flowering (S1), pod development (S2), and ripening (S3). Dry matter content peaked at S2 in both tissues, while crude protein and fat content were highest at S1; carbohydrate levels increased progressively with maturation. Significant mineral concentrations, particularly K, Ca, and Mg, were detected, with leaves at S2 showing higher ash (i.e., mineral) content. Bioactive compounds (L-dopa, flavonols, total phenolics, and flavonoids) and antioxidant activities were most abundant at S1, with strong positive correlations between phenolics and antioxidant activities. Overall, faba bean residues offer proximate nutritional profiles comparable to traditional forages such as alfalfa and clover, while providing superior antioxidant potential. Their incorporation into animal feed systems before S3 could help mitigate seasonal forage shortages and enhance the nutritional quality of livestock diets. Full article
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19 pages, 3416 KB  
Article
Biochar Enhances Soil Organic Carbon by Stabilizing Microbial Necromass Carbon in Saline–Alkaline Topsoil
by Yiying Wang, Yuan Gao, Haodong Zheng, Rongkang Wang, Zhiwei Ge and Zimei Miao
Agronomy 2025, 15(11), 2472; https://doi.org/10.3390/agronomy15112472 (registering DOI) - 24 Oct 2025
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Abstract
Soil salinization threatens soil organic carbon (SOC) sequestration. Although microbial necromass carbon (MNC) is crucial for SOC formation and stability, how biochar affects MNC in saline–alkaline soils remains unclear. This study assessed the impact of biochar amendment (0, 10, 20, and 30 t [...] Read more.
Soil salinization threatens soil organic carbon (SOC) sequestration. Although microbial necromass carbon (MNC) is crucial for SOC formation and stability, how biochar affects MNC in saline–alkaline soils remains unclear. This study assessed the impact of biochar amendment (0, 10, 20, and 30 t ha−1) on SOC and MNC dynamics in saline–alkaline soils cultivated with Arundo donax cv. Lvzhou No. 1 across tillering, jointing, and maturity stages. Biochar amendment significantly enhanced SOC and the soil C/N ratio, with the highest dose (30 t ha−1) raising SOC by 47.21% at jointing and 34.64% at maturity. Biochar significantly increased MNC at all growth stages, with increases ranging from 22.74% to 30.81%. From the jointing to the maturity stage, SOC exhibited a decline (20.03 to 27.77%), in contrast to the minimal change in MNC (–6.37% to 9.80%). This divergent trend consequently led to a peak in the MNC/SOC ratio at maturity. It directly demonstrates the relative stability of MNC and indicates its role as a persistent carbon reservoir within the topsoil. Biochar also elevated soil pH and nutrient availability, which reshaped microbial community structure and enhanced bacterial diversity. Partial least squares path modeling revealed that biochar facilitates MNC accumulation directly and indirectly by modifying soil chemical properties and thereby enhancing microbial diversity. These findings show that biochar enhances stable SOC storage in saline–alkaline soils primarily through the formation and stabilization of microbial necromass, thus revealing its potential for climate change mitigation. Full article
(This article belongs to the Section Soil and Plant Nutrition)
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16 pages, 3154 KB  
Article
Kernel Dehydration Characteristics Is Related to Kernel Microstructure and Starch Granule Size Distribution in Different Maize Varieties
by Xuejie Li, Fengxue Suo, Zengxu Li, Yang Yang, Xin Hao, Qing Sun, Wen Jiang, Letian Liu, Ziyue Wang, Zeqian Shi, Jiushuo Li and Xuefang Sun
Agronomy 2025, 15(11), 2471; https://doi.org/10.3390/agronomy15112471 (registering DOI) - 24 Oct 2025
Viewed by 70
Abstract
In the Huang-Huai-Hai region, a high kernel moisture content remains a primary constraint for the mechanical harvesting of maize kernels. Recent studies have largely focused on the relationships among ear traits, meteorological factors, and kernel dehydration. However, the regulatory mechanisms underlying the influence [...] Read more.
In the Huang-Huai-Hai region, a high kernel moisture content remains a primary constraint for the mechanical harvesting of maize kernels. Recent studies have largely focused on the relationships among ear traits, meteorological factors, and kernel dehydration. However, the regulatory mechanisms underlying the influence of kernel microstructure and starch granule size distribution on dehydration characteristics remain unclear. In this study, the fast-dehydrating variety Jingnongke 728 (JNK728) and the slow-dehydrating variety Zhengdan 958 (ZD958) were selected as experimental materials to compare the varietal differences in kernel microstructure and starch granule size distribution, and to investigate their roles in regulating kernel dehydration characteristics. The results showed that JNK728 had a significantly higher kernel dehydration rate (KDR). Compared with ZD958, JNK728 exhibited average increases of 15.22% in the pre-physiological maturity dehydration rate (pre-KDR) and 97.72% in the post-physiological maturity dehydration rate (post-KDR). The higher accumulations of kernel total starch content and amylopectin content were also observed in JNK728. Kernels of JNK728 were characterized by thinner pericarp at 35 days after pollination (DAP), lower vitreousness and a higher proportion of floury endosperm. Additionally, JNK728 displayed more uniformly sized starch granules with smooth surfaces, wider intergranular spaces, and looser starch packing. Moreover, the volume, number, and surface area of large starch granules (≥10 μm) in JNK728, increased by 2.91%, 10.94%, and 4.95%, respectively. These findings enhance the understanding of the regulatory role of kernel microstructure and starch granule size distribution in dehydration characteristics, offering theoretical guidance for the development of mechanical maize kernel harvesting technologies in the Huang-Huai-Hai region. Full article
(This article belongs to the Section Farming Sustainability)
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20 pages, 2106 KB  
Article
Coupling Effects of Organic Fertilizer Substituting Chemical Fertilizer on Potato Yield, Quality and Soil Nitrogen Content in the Erhai Lake Basin of China
by Xuemei Sun, Wenmei Zhang, Ting Wang, Wanting Li, Yongmei Li, Benshuai Yan, Mengge Zhang, Jixia Zhao and Maopan Fan
Agronomy 2025, 15(11), 2470; https://doi.org/10.3390/agronomy15112470 (registering DOI) - 24 Oct 2025
Viewed by 72
Abstract
Rational fertilization boosts crop yields and enhances nutritional value, but over-fertilization is counterproductive. Furthermore, water eutrophication caused by excessive use of nitrogen fertilizers has become a major agricultural non-point source pollution problem in the Erhai Lake Basin of China. This study took high-fertility [...] Read more.
Rational fertilization boosts crop yields and enhances nutritional value, but over-fertilization is counterproductive. Furthermore, water eutrophication caused by excessive use of nitrogen fertilizers has become a major agricultural non-point source pollution problem in the Erhai Lake Basin of China. This study took high-fertility soil as the research object and set up six treatments: no fertilization (CK), local recommended fertilization (T1), optimized chemical fertilizer (T2), organic fertilizer replacing 20% (T3), 40% (T4), 60% (T5) of chemical fertilizer with equal nitrogen. The results show that replacement of chemical nitrogen fertilizers with organic nitrogen fertilizers at an appropriate ratio can optimize soil nitrogen supply, enhance the activity of soil nitrogen cycle enzymes, thereby promoting the activity of nitrogen metabolism enzymes and nitrogen assimilation capacity in potato plants, and ultimately achieve a synergistic effect of increased yield, improved quality and higher fertilizer use efficiency. Among the treatments, the nitrate reductase (S-NR) activity in potato leaves was 36.74% and 41.66% higher under T3 than T1 and T4, respectively. For potato quality, Vitamin C (VC) content was 17.41% higher under T3 than T2; soluble protein content was 11.44%, 10.63%, and 9.44% higher under T3 than T1, T2, and T4, respectively. The replacement of chemical fertilizers with organic fertilizers mainly enhances the protein content in potato tubers by increasing soil urease (S-URE) activity and leaf relative chlorophyll content (SPAD) value. Based on the comprehensive differential combination evaluation model, considering potato metabolic absorption, yield, quality, and soil nitrogen content, the T3 treatment is the optimal fertilization method in the Erhai Lake Basin of China. Full article
(This article belongs to the Section Soil and Plant Nutrition)
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21 pages, 5076 KB  
Article
Exploring Organic Matter, Soil Enzymes, and Fungal Communities Under Land-Use Intensification in the Argentine Pampas
by Florencia M. Barbero, Romina A. Verdenelli, María F. Dominchin, Ileana Frasier, Silvina B. Restovich, Dannae L. Serri, Ernesto J. Campilongo-Mancilla, Valeria S. Faggioli, Ana G. Iriarte, Silvina Vargas-Gil and José M. Meriles
Agronomy 2025, 15(11), 2469; https://doi.org/10.3390/agronomy15112469 - 24 Oct 2025
Viewed by 85
Abstract
Intensive land use in the Argentine Pampas has led to soil degradation, yet links between soil organic matter (SOM) composition, enzyme activity, and fungal communities remain unclear. This study compared contrasting ecoregions and land uses: pristine (PI), pasture (PA), crop rotation with cover [...] Read more.
Intensive land use in the Argentine Pampas has led to soil degradation, yet links between soil organic matter (SOM) composition, enzyme activity, and fungal communities remain unclear. This study compared contrasting ecoregions and land uses: pristine (PI), pasture (PA), crop rotation with cover crops (RO), and monoculture (MO). Infrared spectra showed that PI soils in Anguil had higher absorbance in hydroxyl/amine (3400 cm−1: 0.90 ± 0.08) and carbonyl (1750 cm−1: 0.52 ± 0.12) bands than MO soils (0.47 ± 0.30 and 0.35 ± 0.06; p < 0.05), indicating greater SOM diversity. Pergamino soils showed smaller differences, reflecting site-specific effects. Enzyme activities also responded to land use. In Anguil, xylosidase, β-1,4-N-acetylglucosaminidase, and phosphatase peaked under PI (40, 127, and 443 nmol g−1 h−1). In Pergamino, xylosidase and β-1,4-N-acetylglucosaminidase were higher under PA and PI, indicating enhanced microbial functionality under low disturbance. Fungal composition varied with land use and location: Mortierellomycetes dominated in Pergamino, while Leotiomycetes and Agaricomycetes were more abundant in PI and PA, and Dothideomycetes increased in MO and RO. Despite compositional shifts, fungal diversity changed little. Integrating chemical, biochemical, and molecular indicators revealed how land-use intensification modifies SOM and microbial processes in Pampas soils. Full article
(This article belongs to the Special Issue Soil Microbiomes and Their Roles in Soil Health and Fertility)
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12 pages, 1938 KB  
Article
Response of Summer Foxtail Millet Yield and Water Productivity to Water Supply in the North China Plain
by Wenying Zhang, Bianyin Wang, Binhui Liu, Zhaoyang Chen, Guanli Lu, Caihong Bai and Yaoxiang Ge
Agronomy 2025, 15(11), 2468; https://doi.org/10.3390/agronomy15112468 - 23 Oct 2025
Viewed by 204
Abstract
Summer foxtail millet (Setaria italica L.) is a crucial crop in the arid and semi-arid regions of the North China Plain. Therefore, adopting effective irrigation management strategies is essential for conserving water resources while sustaining millet production in these water-limited areas. A [...] Read more.
Summer foxtail millet (Setaria italica L.) is a crucial crop in the arid and semi-arid regions of the North China Plain. Therefore, adopting effective irrigation management strategies is essential for conserving water resources while sustaining millet production in these water-limited areas. A two-year field experiment was conducted in Hengshui in 2020 and 2021 to determine the optimal irrigation amount for foxtail millet and evaluate the critical role of root distribution across various soil depths in determining yield and water productivity. Grain yield, yield-related traits, water use efficiency, and root traits were measured under six irrigation regimes (I0, I1, I2, I3, I4, and I5). Grain yield significantly increased with irrigation, but no further significant yield improvement was observed between the I3 and I5 treatments. The highest water productivity was observed under I3 in 2020 and I2 in 2021. Biomass, thousand grain weight, abortive grain rate, panicle dry weight, and water use efficiency under I3 were similar to those under I4 and I5 treatments. Root traits, including total root length, surface area, volume, and dry weight, did not significantly differ between I3, I4, and I5. Grey relational analysis indicated that total water content in the shallow soil layer (0–40 cm) had the greatest impact on yield. Overall, the I3 treatment (150 mm) is recommended as the optimal irrigation amount for increasing foxtail millet production and water use efficiency. Full article
(This article belongs to the Section Water Use and Irrigation)
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25 pages, 5971 KB  
Article
Differential Effects of Four Materials on Soil Properties and Phaseolus coccineus L. Growth in Contaminated Farmlands in Alpine Lead–Zinc Mining Areas, Southwest China
by Xiuhua He, Qian Yang, Weixi Meng, Xiaojia He, Yongmei He, Siteng He, Qingsong Chen, Fangdong Zhan, Jianhua He and Hui Bai
Agronomy 2025, 15(11), 2467; https://doi.org/10.3390/agronomy15112467 (registering DOI) - 23 Oct 2025
Viewed by 160
Abstract
Soils in alpine mining areas suffer from severe heavy metal contamination and infertility, yet little is known about the effects of different materials on soil improvement in such regions. In this study, a field experiment was conducted in farmlands contaminated by the Lanping [...] Read more.
Soils in alpine mining areas suffer from severe heavy metal contamination and infertility, yet little is known about the effects of different materials on soil improvement in such regions. In this study, a field experiment was conducted in farmlands contaminated by the Lanping lead–zinc mine in Yunnan, China, to compare the effects of four materials (biochar, organic fertilizer, lime, and sepiolite) on soil properties, heavy metal (lead (Pb), cadmium (Cd), copper (Cu), and zinc (Zn) fractions and their availability, and the growth of Phaseolus coccineus L. Results showed that biochar and organic fertilizer significantly enhanced soil nutrient content and enzyme activities. Lime, biochar, and sepiolite effectively reduced heavy metal bioavailability by promoting their transition to residual fractions. Notably, biochar outperformed other materials by substantially increasing grain yield (by 82%), improving nutritional quality (sugars, protein, and starch contents raised by 20–88%), and reducing heavy metal accumulation in grains (by 36–50%). A comprehensive evaluation based on subordinate function values confirmed biochar as the most effective amendment. Structural equation modeling further revealed that biochar promoted plant growth and grain quality primarily by enhancing soil available nutrients and immobilizing heavy metals. These findings demonstrate the strong potential of biochar for remediating heavy metal-contaminated farmlands in alpine lead–zinc mining regions. Full article
(This article belongs to the Section Soil and Plant Nutrition)
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13 pages, 362 KB  
Article
Nitric Oxide in Controlled Atmosphere Storage of ‘Fuji Mishima’ Apples
by Catherine Amorim, Aquélis Armiliato Emer, Janaiana Catarina da Silva, Juliana Amaral Vignali Alves, Samara Martins Zanella, Marcelo Alves Moreira, Bernardino Domingos Mango, Rogerio Oliveira Anese, Vanderlei Both, Natalia Maria Souza and Cristiano André Steffens
Agronomy 2025, 15(11), 2466; https://doi.org/10.3390/agronomy15112466 - 23 Oct 2025
Viewed by 151
Abstract
‘Fuji’ apples require long-term storage to ensure year-round supply, and controlled-atmosphere (CA) technology is widely used to preserve their quality and reduce postharvest losses. Nitric oxide (NO), a natural signaling molecule in plants, has shown potential to delay ripening and reduce physiological and [...] Read more.
‘Fuji’ apples require long-term storage to ensure year-round supply, and controlled-atmosphere (CA) technology is widely used to preserve their quality and reduce postharvest losses. Nitric oxide (NO), a natural signaling molecule in plants, has shown potential to delay ripening and reduce physiological and pathological disorders during fruit storage. This study evaluated the effect of nitric oxide (NO) treatment during controlled-atmosphere (CA) storage on the postharvest quality of ‘Fuji Mishima’ apples. Apples were stored for 8 months at 1 kPa O2 +< 0.5 kPa CO2, 1.0 ± 0.2 °C, and 94 ± 2% RH. The treatments consisted of a control (without NO) and five NO application regimes: 5 µL L−1 applied at the beginning of storage; 5 µL L−1 applied both at the beginning and end; 5 µL L−1 applied every 30 days; 10 µL L−1 applied at the beginning; and 10 µL L−1 applied both at the beginning and end of storage. All NO treatments delayed ethylene production and reduced its levels after 4 days under ambient conditions compared to the control. However, NO had no effect on flesh firmness, soluble solids content, titratable acidity, peel color, or flesh browning. Repeated NO applications (5 or 10 µL L−1) increased peel yellowing. Treatment with 5 µL L−1 applied every 30 days increased decay incidence. Phenolic compounds in the flesh were unaffected, while in the peel, they decreased with 10 µL L−1. Overall, NO application in CA storage of ‘Fuji Mishima’ apples did not maintain fruit quality and, in some cases, increased peel yellowing and decay. Full article
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17 pages, 4890 KB  
Article
Agro-Morphological Traits, Proximate Composition, and Phenotypic Plasticity of Coffea arabica in Contrasting and Very Close Environments in Northern Peru
by Ligia García, Jaris Veneros, Carlos Bolaños-Carriel, Grobert A. Guadalupe, Heyton Garcia, Roberto Carlos Mori-Zabarburú and Segundo G. Chavez
Agronomy 2025, 15(11), 2465; https://doi.org/10.3390/agronomy15112465 - 23 Oct 2025
Viewed by 208
Abstract
Coffee is one of Peru’s most important agricultural commodities, and its productivity is highly influenced by environmental variability. This study aimed to evaluate agro-morphological traits, proximate bean composition, and the phenotypic plasticity index (PPI) of Coffea arabica (Catimor variety) cultivated in three neighboring [...] Read more.
Coffee is one of Peru’s most important agricultural commodities, and its productivity is highly influenced by environmental variability. This study aimed to evaluate agro-morphological traits, proximate bean composition, and the phenotypic plasticity index (PPI) of Coffea arabica (Catimor variety) cultivated in three neighboring provinces of Piura: Ayabaca, Huancabamba, and Morropón. Unlike previous studies that broadly compare distant regions, this research focuses on geographically close yet climatically contrasting environments, providing new insight into how microclimatic and edaphic variability shape both morphological and chemical traits. A total of 300 plants were sampled, and 12 morphological descriptors were recorded alongside proximate composition analyses of moisture, crude protein, fiber, ash, fat, and carbohydrates. Multivariate approaches, including cluster analysis, multiple correspondence analysis, and Pearson correlations, were applied to determine groupings and trait associations. Results indicated that 12 morphological variables consistently reflected species-specific descriptors, forming two statistical groups, with Morropón showing the greatest homogeneity. Significant differences (p ≤ 0.05) were observed in the proximate composition of most variables, except for crude fiber and carbohydrates. Morropón beans showed the highest fat and moisture values, while Huancabamba had elevated protein and ash levels. Morphological traits exhibited higher plasticity (PPI = 0.70) compared with proximate traits (PPI = 0.21). These findings reveal that even within short spatial distances, coffee plants exhibit marked phenotypic differentiation driven by local environmental factors, offering a novel, fine-scale perspective on trait variability relevant to breeding and adaptation studies under changing climatic conditions. Full article
(This article belongs to the Section Horticultural and Floricultural Crops)
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15 pages, 986 KB  
Article
Infection Dynamics of Zarea fungicola and Its Impact on White Button Mushroom Yield
by Joanna Szumigaj-Tarnowska, Czesław Ślusarski and Zbigniew Uliński
Agronomy 2025, 15(11), 2464; https://doi.org/10.3390/agronomy15112464 - 23 Oct 2025
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Abstract
The ascomycetous fungus, Zarea fungicola (syn. Lecanicillium fungicola), is the most common fungal pathogen of the white button mushroom, Agaricus bisporus. The objective of this study was to assess the impact of the timing and concentration of spore inoculation on the [...] Read more.
The ascomycetous fungus, Zarea fungicola (syn. Lecanicillium fungicola), is the most common fungal pathogen of the white button mushroom, Agaricus bisporus. The objective of this study was to assess the impact of the timing and concentration of spore inoculation on the development of dry bubble disease, its progression, and the yield of mushrooms. Experiments included two factors: inoculation timing (at casing, three days after casing (4th day), onset of induction (7th day), primordia formation (12th day), and mixing spores with casing soil) and different inoculum concentrations (105 m−2, 106 m−2, and 107 m−2 casing). The first symptoms of dry bubble appeared at the beginning of the first flush (14–16 days of cultivation) in trials where spore inoculum was applied three days after casing and during the induction phase. In contrast, the longest disease latent period (26–28 days) occurred when spores were mixed with the casing soil. A significant interaction was observed between inoculation timing and spore concentration, which influenced disease incidence and yield. Area under the disease progress curve (AUDPC) analysis indicated the fastest disease progression following inoculation three days after casing (4th day) and at induction phase (7th day). Correspondingly, the highest reductions in yield and biological efficiency were observed at these inoculation timings. In addition, an increase in conidial concentration generally led to more severe disease symptoms. The results indicate that the period from casing application up to the induction phase requires strict hygiene measures, as infection during this time causes the most significant reduction in yields. Furthermore, the stage of mushroom development and inoculum concentration critically determines the severity of dry bubble, providing important guidance for disease management in white button mushroom cultivation. Full article
(This article belongs to the Special Issue Research Progress on Pathogenicity of Fungi in Crops—2nd Edition)
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