Agronomy

14 pages, 1314 KB

Open AccessReview

Integrative Roles of Growth-Regulating Factors (GRFs) in Leaf Morphogenesis, Stress Response, and Crop Regeneration

by Omotola Adebayo Olunuga, Lixin Xu, Ibrahim Adams, Mohammad Gul Arabzai, Ting Wu, Jingai Gao, Fulin Ke, Qiuxia Bai, Shengzhen Chen, Chang An, Yuan Qin and Lulu Wang

Agronomy 2026, 16(6), 675; https://doi.org/10.3390/agronomy16060675 - 23 Mar 2026

Viewed by 529

Abstract

Growth-Regulating Factors (GRFs) are plant-specific transcription factors that, together with GRF-Interacting Factors (GIFs) and under post-transcriptional control by miR396, coordinate cell proliferation and expansion to define organ size. This GRF–GIF–miR396 regulatory module holds major agronomic importance, shaping leaf architecture, source–sink relationships, nitrogen-use efficiency [...] Read more.

Growth-Regulating Factors (GRFs) are plant-specific transcription factors that, together with GRF-Interacting Factors (GIFs) and under post-transcriptional control by miR396, coordinate cell proliferation and expansion to define organ size. This GRF–GIF–miR396 regulatory module holds major agronomic importance, shaping leaf architecture, source–sink relationships, nitrogen-use efficiency (NUE), and stress resilience in crops. Upregulation of specific GRF genes has been shown to enhance leaf width, yield potential, and other important agronomic traits. Synthetic GRF–GIF chimeras have revolutionized regeneration and genome editing in multiple crop species, revealing both successes and species-specific limitations. Expanding GRF/GIF gene families and functional analyses across various crops highlight conserved developmental functions with variable outcomes, including improved drought and salinity tolerance through sustained canopy growth. This review, focused on crop systems, integrates current advances in GRF-regulated leaf development, their contributions to abiotic and biotic stress adaptation, and the emerging utility of GRF–GIF chimeras. Finally, it outlines key challenges and future opportunities for leveraging GRFs in designing climate-resilient, high-efficiency crop ideotypes. Full article

(This article belongs to the Special Issue Regulatory Network of Crop to Environmental Stress: Genetic and Biochemical Characterization)

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20 pages, 7805 KB

Open AccessArticle

Heterologous Expression of Potato StCML19 Enhances Drought Tolerance in Transgenic Arabidopsis

by Jia Wei, Xinglong Su, Junmei Cui, Xianglin Sun, Jinjuan Ma, Zhenzhen Bi, Yuhui Liu, Zhen Liu, Yongwei Zhao, Yajie Li, Feng Zhao, Jiangping Bai, Panfeng Yao and Chao Sun

Agronomy 2026, 16(6), 674; https://doi.org/10.3390/agronomy16060674 - 23 Mar 2026

Viewed by 464

Abstract

Calmodulin-like proteins (CMLs) serve as core components in plant calcium signal transduction pathways, and they extensively modulate plant growth, development, and adaptive responses to various abiotic stresses. In this study, we cloned the StCML19 gene from potato and generated stable transgenic Arabidopsis thaliana [...] Read more.

Calmodulin-like proteins (CMLs) serve as core components in plant calcium signal transduction pathways, and they extensively modulate plant growth, development, and adaptive responses to various abiotic stresses. In this study, we cloned the StCML19 gene from potato and generated stable transgenic Arabidopsis thaliana lines constitutively expressing this gene to investigate its functional role under drought stress. Transcriptome analysis revealed that StCML19 was up-regulated under drought conditions. Phenotypic assays showed that overexpressing StCML19 notably increased the seed germination rate and root length of transgenic Arabidopsis under mannitol-induced osmotic stress, and greatly improved the plant survival rate under severe soil drought stress. Physiological analysis showed that when put under drought stress, transgenic plants had higher proline content, better SOD, CAT, and POD activities, and significantly less malondialdehyde (MDA) accumulation than wild-type plants. In addition, overexpression of StCML19 led to greater plant sensitivity to exogenous ABA, with inhibited root growth and delayed seed germination as indicators. Conclusively, this study is the first to make sense of the biological function of potato StCML19 in the drought stress response and views StCML19 as a promising candidate gene for the genetic improvement of drought-tolerant potato varieties. Full article

(This article belongs to the Special Issue Resistance-Related Gene Mining and Genetic Improvement in Crops—2nd Edition)

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19 pages, 2702 KB

Open AccessArticle

Temporal Metabolomic Dynamics of Methyl Jasmonate-Induced Reprogramming in Vitis vinifera L. cv. Tempranillo Leaves

by Diego F. Paladines-Quezada and Cristina Cedeño-Pinos

Agronomy 2026, 16(6), 673; https://doi.org/10.3390/agronomy16060673 - 23 Mar 2026

Viewed by 421

Abstract

Methyl jasmonate (MeJA) is a defence-related phytohormone that triggers metabolic reprogramming in grapevines and modulates pathways associated with stress responses and secondary metabolism. However, the temporal organisation of leaf metabolic responses following MeJA elicitation remains insufficiently characterised. In this study, an untargeted metabolomic [...] Read more.

Methyl jasmonate (MeJA) is a defence-related phytohormone that triggers metabolic reprogramming in grapevines and modulates pathways associated with stress responses and secondary metabolism. However, the temporal organisation of leaf metabolic responses following MeJA elicitation remains insufficiently characterised. In this study, an untargeted metabolomic approach based on UPLC-QTOF-MS was applied to investigate the time-resolved metabolic response of Vitis vinifera L. cv. Tempranillo leaves following foliar application of 10 mM MeJA under controlled greenhouse conditions. Leaf samples were collected at 0, 3, 6, 18, 24, and 48 h post-treatment. After quality filtering, 2552 metabolite features were detected, of which 40 discriminant features met stringent statistical criteria (maximum fold change ≥ 2 and p ≤ 0.05). Putative annotation according to Metabolomics Standards Initiative guidelines (MSI levels 2–3) revealed modulation of several metabolite classes, including carbohydrate-derived conjugates, terpenoid-related metabolites, hydroxycinnamic acid derivatives, and flavonoid-associated compounds. Temporal profiling revealed structured and non-monotonic metabolic responses characterised by rapid early changes between 3 and 6 h, followed by delayed accumulation patterns peaking around 24 h. Early phases were mainly associated with carbohydrate-related metabolites, suggesting rapid redistribution of carbon resources after elicitor perception. These results indicate that MeJA-induced metabolic adjustment in Tempranillo leaves occurs through temporally differentiated response phases rather than a uniform metabolic shift, providing a time-resolved metabolomic framework for interpreting elicitor-driven defence responses in grapevine. Full article

(This article belongs to the Special Issue Sustainable Viticulture and Winemaking: Adapting to a Changing Climate)

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21 pages, 3792 KB

Open AccessArticle

Dynamics of Droplet Spectra and Physicochemical Properties Under Different Adjuvants and Spraying Pressures

by Sérgio Basílio, Marconi Ribeiro Furtado Júnior, Cleyton Batista de Alvarenga, Edney Leandro de Vitória, Beatriz Costalonga Vargas, Salvatore Privitera, Sebastian Lupica, Antonio Trusso Sfrazzetto, Emanuele Cerruto and Giuseppe Manetto

Agronomy 2026, 16(6), 672; https://doi.org/10.3390/agronomy16060672 - 23 Mar 2026

Viewed by 454

Abstract

Droplet size is a key factor in minimizing spray drift. Different types of adjuvants and sprayer operating pressures can affect the droplet size distribution in various ways. This study aimed to evaluate the effects of commercial adjuvants, namely, acids and surfactant (AS), silicone [...] Read more.

Droplet size is a key factor in minimizing spray drift. Different types of adjuvants and sprayer operating pressures can affect the droplet size distribution in various ways. This study aimed to evaluate the effects of commercial adjuvants, namely, acids and surfactant (AS), silicone surfactant (SS), organosilicone surfactant (OS), mineral oil (MO and MO₂), and copolymer (CP) adjuvants, on the droplet spectra and physicochemical properties of aqueous solutions. Hydrogen potential (pH), volumetric mass (

V M

), electrical conductivity (EC), surface tension (ST), contact angle (CA), and droplet spectra were measured. The droplet spectrum variables, including volumetric diameters (

D_{v 0.1}

,

D_{v 0.5}

, and

D_{v 0.9}

), the Relative Span Factor (

R S F

), and percentages of the total volume of droplets with a diameter smaller than 100 µm (V100) and larger than 500 µm (V500), were determined using a laser diffraction particle analyzer (Malvern Spraytec). Spraying tests were carried out using the AXI 11003 flat fan nozzle at pressures of (0.1, 0.2, 0.3, 0.4, and 0.5) MPa. The increase in pressure increased the V100 and the

R S F

, with greater sensitivity observed for SS. Adjuvants such as AS, MO₂ and OS showed a more balanced trend, with a smaller increase in fine droplets and a greater reduction in coarse droplets. The principal component analysis (PCA) revealed that the droplet spectrum variables were the ones that best explained the variation among the solutions. A negative correlation was identified between EC and other physicochemical properties, such as pH, ST, and CA. Therefore, these properties alone did not determine the atomization pattern. The study demonstrates that optimizing spray quality and minimizing drift require a combined consideration of adjuvant physicochemical properties and their interaction with operational pressure. Full article

(This article belongs to the Special Issue Next-Generation Pesticide Application Technologies: Precision, Safety and Environmental Sustainability)

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15 pages, 9384 KB

Open AccessArticle

Fungal Diversity, Pathogenic Characteristics and Fungicide Sensitivity of Pathogens Isolated from Areca catechu L. Diseases in Hainan Island

by Wending Zeng, Xiongkui He, Xuxiang Peng, Zhongyi Yu, Jingping Li and Linhui Wang

Agronomy 2026, 16(6), 671; https://doi.org/10.3390/agronomy16060671 - 23 Mar 2026

Viewed by 495

Abstract

This study systematically identified the pathogenic fungi affecting Areca catechu in Hainan. Using diseased tissues from five regions, isolates were obtained using molecular methods, and their pathogenicity was confirmed using Koch’s postulates. We obtained 44 distinct fungal isolates from 9 genera. Fusarium (27.27%) [...] Read more.

This study systematically identified the pathogenic fungi affecting Areca catechu in Hainan. Using diseased tissues from five regions, isolates were obtained using molecular methods, and their pathogenicity was confirmed using Koch’s postulates. We obtained 44 distinct fungal isolates from 9 genera. Fusarium (27.27%) and Colletotrichum (38.12%) were the dominant genera across all tissues. Twenty isolates were confirmed as pathogens. Key findings include the first report of Alternaria angustiovoidea and A. pogostemonis as areca leaf spot pathogens in China and the first confirmation of pathogenicity for three Fusarium species complexes (FSSC, FFSC, FIESC). Five Fusarium species are newly reported as pathogens in China. Cladosporium tenuissimum and Plectosphaerella cucumerina were confirmed for the first time to cause leaf spot. Fusarium, Colletotrichum, and Alternaria were core pathogens, all exhibiting high polygalacturonase and cellulase activity. The FFSC and Colletotrichum gloeosporioides species complex (CGSC) showed broad-spectrum pathogenicity on tropical fruits. Fungicide sensitivity assays ranked efficacy as prochloraz > difenoconazole > tebuconazole > ethylicin > pyraclostrobin, with genus-specific responses observed. This research fills a systematic knowledge gap on areca fungal diseases in China, providing a crucial basis for precise control strategies and integrated management. Full article

(This article belongs to the Special Issue Environmentally Friendly Ways to Control Plant Disease)

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20 pages, 48094 KB

Open AccessArticle

Field-Scale Prediction of Winter Wheat Yield Using Satellite-Derived NDVI

by Edyta Okupska, Antanas Juostas, Dariusz Gozdowski and Elżbieta Wójcik-Gront

Agronomy 2026, 16(6), 670; https://doi.org/10.3390/agronomy16060670 - 22 Mar 2026

Viewed by 495

Abstract

This study evaluated the potential of Sentinel-2-derived NDVI (Normalized Difference Vegetation Index) for predicting within-field variability of winter wheat grain yield in central Lithuania during the 2024 growing season. Reliable within-field yield prediction remains challenging in regions with heterogeneous soils and limited region-specific [...] Read more.

This study evaluated the potential of Sentinel-2-derived NDVI (Normalized Difference Vegetation Index) for predicting within-field variability of winter wheat grain yield in central Lithuania during the 2024 growing season. Reliable within-field yield prediction remains challenging in regions with heterogeneous soils and limited region-specific models, particularly in northeastern Europe. Grain yield data were obtained from combine harvesters equipped with GPS yield monitoring across 13 fields with a total area of 283.6 ha. NDVI values were calculated for four half-monthly periods from March to May, corresponding to key phenological stages (from tillering to spike emergence). Spatial and temporal variability in NDVI–yield relationships was observed, with early May consistently showing the strongest correlations (r up to 0.49), particularly in lower-fertility fields, indicating its critical role in yield prediction. Machine learning models (Random Forest, XGBoost, and Deep Neural Networks), along with linear regression, were applied to predict yields based on NDVI from four growth stages. Random Forest achieved the highest predictive accuracy (MAE = 0.951 t/ha), outperforming the other models. The model also showed the highest correlation with observed yields (Pearson r = 0.717), indicating strong agreement between predicted and measured values. Feature importance analysis confirmed NDVI from 1 to 15 May as the most influential predictor across all models. Predicted yield maps closely matched observed patterns, with the largest discrepancies near field edges due to combine harvester effects. These findings highlight the utility of mid-season NDVI for precise estimation of within-field grain yield variability and demonstrate that Random Forest models can effectively capture the NDVI–yield relationship, particularly under heterogeneous field conditions. Full article

(This article belongs to the Special Issue Digital Twins in Precision Agriculture)

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20 pages, 1579 KB

Open AccessArticle

Combined Effect of Tillage Intensity and Multiple Cropping on Physiological and Agronomic Performance of Rainfed Durum Wheat Grown Under Semi-Arid Conditions

by Hatem Zgallai, Olfa Boussadia, Amir Souissi, Mohsen Rezgui and Mohamed Annabi

Agronomy 2026, 16(6), 669; https://doi.org/10.3390/agronomy16060669 - 22 Mar 2026

Viewed by 410

Abstract

Managing tillage intensity and diversifying crop rotation are important sustainability levers for conservation agriculture (CA) with the potential to enhance crop resilience, resource efficiency, and yield stability. Accordingly, this study aimed to determine the effect of reduced tillage intensities and cereal–legume rotation systems [...] Read more.

Managing tillage intensity and diversifying crop rotation are important sustainability levers for conservation agriculture (CA) with the potential to enhance crop resilience, resource efficiency, and yield stability. Accordingly, this study aimed to determine the effect of reduced tillage intensities and cereal–legume rotation systems on the agronomic and physiological performance of rainfed durum wheat grown under Mediterranean semi-arid conditions. To this end, a two cropping seasons field experiment was conducted in northeast Tunisia where the combined effects of two reduced tillage intensities (minimum and no-tillage; MT and NT) and two legume-based crop rotation systems (biennial and triennial; B and T) were compared to the more traditional conventionally tilled monocropping system (CT and M). Crop rotation, particularly when integrated with no-tillage (NT), significantly improved wheat development and grain yield, along with key yield attributes such as thousand-kernel weight and spike density. The interaction between tillage and crop sequence was highly influential; for instance, the NT × T (no-tillage × triennial rotation) combination achieved the highest grain yields (240 and 236 g m⁻² in 2020–2021 and 2021–2022, respectively), while the CT × M (conventional tillage × monoculture) interaction resulted in the lowest productivity (143 and 135 g m⁻²). Physiologically, the integration of reduced tillage and legume–cereal rotations optimized the photosynthetic apparatus, as evidenced by significantly improved chlorophyll fluorescence parameters. However, a prominent trade-off was identified: while NT × T maximized productivity, conventional tillage (CT) maintained superior grain protein (18.6%) and gluten concentrations, indicating a nitrogen dilution effect in high-yielding conservation systems. These results demonstrate that while no-tillage and triennial rotations (faba bean–wheat–barley) are robust strategies for climate-resilient yields in semi-arid environments, they must be coupled with optimized nitrogen management to offset quality declines. Consequently, this study establishes the NT × T interaction as a superior model for sustainable rainfed farming, provided that nutrient synchronization is addressed to ensure nutritional security under increasingly unpredictable Mediterranean climates. Full article

(This article belongs to the Special Issue Conservation Agricultural Practices for Improving Crop Production and Quality—2nd Edition)

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19 pages, 3682 KB

Open AccessArticle

Estimation of Cotton Above-Ground Biomass Based on Fusion of UAV Spectral and Texture Features

by Guldana Sarsen, Qiuxiang Tang, Yabin Li, Longlong Bao, Yuhang Xu, Guangyun Sun, Jianwen Wu, Yierxiati Abulaiti, Qingqing Lv, Fubin Liang, Na Zhang, Rensong Guo, Liang Wang, Jianping Cui and Tao Lin

Agronomy 2026, 16(6), 668; https://doi.org/10.3390/agronomy16060668 - 22 Mar 2026

Viewed by 534

Abstract

Cotton above-ground biomass (AGB) is a key indicator of crop growth and yield potential. Traditional monitoring methods are labor-intensive and destructive, limiting their suitability for precision agriculture. This study developed a high-precision, non-destructive model for estimating cotton AGB by integrating spectral and texture [...] Read more.

Cotton above-ground biomass (AGB) is a key indicator of crop growth and yield potential. Traditional monitoring methods are labor-intensive and destructive, limiting their suitability for precision agriculture. This study developed a high-precision, non-destructive model for estimating cotton AGB by integrating spectral and texture features derived from UAV multispectral and RGB images. UAV data were collected at major growth stages in 2024. Eight vegetation indices (VIs) and eight texture features (TFs) were extracted. Four machine learning algorithms—support vector regression (SVR), random forest regression (RFR), partial least squares regression (PLSR), and extreme gradient boosting (XGB)—were evaluated using independent validation data. Models based on fused spectral and texture features outperformed single-feature models. RFR achieved the best performance (R² = 0.811; RMSE = 2.931 t ha⁻¹). Texture features alone also showed strong predictive capability (R² = 0.789), highlighting their value in capturing canopy structural information. These results demonstrate that spectral–texture fusion significantly improves cotton AGB estimation and that RFR provides a robust modeling framework for UAV-based crop monitoring. Full article

(This article belongs to the Special Issue Sky Guardians of Agriculture: Drones for Efficient Plant Health Surveillance)

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32 pages, 7640 KB

Open AccessArticle

Phenotypic and Agronomic Evaluation of a Winter Barley Genotype Panel for Breeding Programs

by Liliana Vasilescu, Eugen-Iulian Petcu, Vasile Silviu Vasilescu, Alexandrina Sîrbu, Leon Muntean and Andreea D. Ona

Agronomy 2026, 16(6), 667; https://doi.org/10.3390/agronomy16060667 - 21 Mar 2026

Viewed by 503

Abstract

Barley remains the fourth most cultivated cereal crop worldwide and is valued for its versatility in malting and brewing, animal feed, human nutrition, and dietary supplements. The identification of genotypes suitable for breeding or specific end-use applications requires multi-environment testing to evaluate agronomic [...] Read more.

Barley remains the fourth most cultivated cereal crop worldwide and is valued for its versatility in malting and brewing, animal feed, human nutrition, and dietary supplements. The identification of genotypes suitable for breeding or specific end-use applications requires multi-environment testing to evaluate agronomic performance, grain quality, and trait stability. In this study, a panel of 50 winter barley genotypes (two-row and six-row) originating from diverse genetic backgrounds was evaluated over three growing seasons (2021–2023) under the environmental conditions of southeastern Romania. Seven traits were analyzed, including three phenological traits (heading time, flowering time and plant height), grain yield, and three quality parameters (thousand-grain weight, protein content, and starch content). Environmental conditions had a strong influence on phenological development and grain yield, whereas grain quality traits showed relatively greater stability, indicating a stronger genetic control. Multivariate analyses (Principal Component Analysis (PCA) and Genotype plus Genotype-by-Environment interaction biplot (GGE biplots)) revealed clear relationships among traits and highlighted contrasting adaptive strategies between the two barley types. In two-row barley, genotypes such as Idra and Sandra combined favorable yield performance with stable grain quality traits and therefore represent promising candidates for breeding programs and large-scale cultivation. In six-row barley, SU-Ellen and LG Zebra showed high productivity and strong starch accumulation, making them valuable genetic resources for yield-oriented breeding, although further improvement in nitrogen use efficiency may be beneficial. The 2022–2023 growing season represented the most restrictive environment, emphasizing the importance of stability under stress conditions. Genotypes located close to the Average Environment Coordination axis (AEC axis) during that season, such as Ametist (six-row) and Lardeya (two-row), may represent promising material for breeding programs targeting drought resilience. Overall, the results expand the phenotypic characterization of winter barley germplasm and identify valuable genetic resources that can support pre-breeding efforts and the development of climate-resilient barley cultivars. Full article

(This article belongs to the Special Issue Identification and Breeding of High-Quality, Disease-Resistance and High-Producing Varieties)

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30 pages, 4233 KB

Open AccessArticle

Development of a Multifunctional Phosphate-Solubilizing Bacterial Consortium for the Improvement of Saline–Alkali Soils

by Linghui Wang, Fenglin Zhang, Haikun Wang, Xingmin Zhao, Hongbin Wang, Nan Wang, Xiulan Ma, Xinyue Ji and Ning Huang

Agronomy 2026, 16(6), 666; https://doi.org/10.3390/agronomy16060666 - 21 Mar 2026

Viewed by 679

Abstract

Saline–alkali soils suffer from severe deficiencies in available phosphorus, and externally added phosphorus is readily immobilized by metal ions in the soil. Therefore, activating inorganic phosphorus in the soil represents a significant challenge. In this study, 35 salt–alkali-tolerant bacteria were isolated from rhizosphere [...] Read more.

Saline–alkali soils suffer from severe deficiencies in available phosphorus, and externally added phosphorus is readily immobilized by metal ions in the soil. Therefore, activating inorganic phosphorus in the soil represents a significant challenge. In this study, 35 salt–alkali-tolerant bacteria were isolated from rhizosphere soils (pH 9.20–9.68). Three phosphate-solubilizing strains (HA2, HPA5, and KA1) capable of growing under severe saline–alkali stress conditions (pH 10, 5% NaCl) and possessing multiple plant growth-promoting traits (nitrogen fixation, potassium solubilization, siderophore production, and IAA secretion) were screened and co-cultured to form the microbial consortium HHK. It was hypothesized that this consortium might exhibit synergistic effects, resulting in significantly higher phosphorus solubilization capacity compared to individual strains. The results showed that under saline–alkali stress, the phosphate solubilization capacity of HHK (484.59 ± 15.79 mg/L) was significantly higher than that of any single strain (285.59 ± 12.60 mg/L). Non-targeted metabolomics and enzyme assays indicated that HHK solubilizes P via organic acids (e.g., citric, L-malic acid) and synergistically modulates core metabolic pathways, including ABC transport, TCA cycle, and glycolysis, alleviating oxidative damage and maintaining cellular homeostasis. Short-term soil incubation confirmed that HHK significantly increased available phosphorus (53.67%) and soil fertility, indicating its potential as a biofertilizer. Full article

(This article belongs to the Section Soil and Plant Nutrition)

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18 pages, 921 KB

Open AccessReview

Climate Change and Abiotic Stress in Fruit Trees: Mechanisms and Adaptive Responses

by Sina Cosmulescu

Agronomy 2026, 16(6), 665; https://doi.org/10.3390/agronomy16060665 - 21 Mar 2026

Cited by 2 | Viewed by 807

Abstract

This paper analyses the impact of climate change on fruit species, synthesizing evidence of how abiotic stresses—such as extreme temperatures, drought, salinity, and water fluctuations—influence the physiology, metabolism, phenology, and productivity of fruit trees. It examines both direct effects on flowering, fruit set, [...] Read more.

This paper analyses the impact of climate change on fruit species, synthesizing evidence of how abiotic stresses—such as extreme temperatures, drought, salinity, and water fluctuations—influence the physiology, metabolism, phenology, and productivity of fruit trees. It examines both direct effects on flowering, fruit set, growth, and quality, as well as indirect impacts on nutrient availability, soil health, and vulnerability to pests and diseases. The article highlights the role of hormones and secondary metabolites in mediating stress responses, alongside the critical importance of cellular and antioxidant protection mechanisms. Adaptive strategies across physiological, biochemical, molecular, and agronomic levels are discussed, including the selection of tolerant varieties and rootstocks, irrigation adjustments, microclimatic management, and the use of biotechnological approaches and biostimulants to enhance fruit resilience and quality. In conclusion, the article underscores the necessity of an integrated approach to ensure the sustainability and productivity of orchards in the face of climate change. Full article

(This article belongs to the Special Issue Impact of Climate Variability on Horticultural Plant Growth and the Development of Agriculture)

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Graphical abstract

20 pages, 1598 KB

Open AccessArticle

Risk-Oriented Evaluation of Yield Stability and Genotype × Year Interaction in Triticale Under Interannual Climatic Variability

by Hristo P. Stoyanov, Asparuh I. Atanasov and Atanas Z. Atanasov

Agronomy 2026, 16(6), 664; https://doi.org/10.3390/agronomy16060664 - 20 Mar 2026

Cited by 1 | Viewed by 769

Abstract

Climate variability amplifies temporal heterogeneity in crop production, challenging uniform varietal recommendations and highlighting the need to integrate genotype × environment interactions. This study evaluated the yield performance and stability of sixteen triticale (×Triticosecale Wittmack) genotypes over three consecutive growing seasons (2022/2023, [...] Read more.

Climate variability amplifies temporal heterogeneity in crop production, challenging uniform varietal recommendations and highlighting the need to integrate genotype × environment interactions. This study evaluated the yield performance and stability of sixteen triticale (×Triticosecale Wittmack) genotypes over three consecutive growing seasons (2022/2023, 2023/2024, 2024/2025) at a single location with pronounced interannual climatic variability. Grain yield ranged from 3.49 to 6.68 t/ha in the least productive season (2022/2023) and from 7.71 to 9.92 t/ha in the most favorable season (2024/2025), with overall genotype means varying between 6.67 and 8.12 t/ha. Stability was assessed using regression-based parameters (regression coefficient and variance of deviations from regression), Shukla’s stability variance, and derived indices describing responsiveness (RI), predictability (PI), genetic risk (GRI), stress robustness (SRI), and yield opportunity (YOI). Results revealed substantial genotype × year interaction, with yield strongly dependent on seasonal conditions. Four genotypes combined high mean yield with stable performance and low interaction-related risk, indicating broad adaptability across years. Another four exhibited strong responsiveness to favorable seasons or elevated instability, increasing production risk despite high yield potential. The derived indices enabled risk-oriented genotype profiling, identifying contrasting adaptation strategies. Multivariate AMMI and GGE biplot analyses confirmed these patterns, providing a comprehensive view of interaction structure and stability. This integrated framework translates stability metrics into practical, decision-oriented descriptors, supporting risk-aware genotype selection under variable climates. Full article

(This article belongs to the Special Issue Recent Advances in Plant Growth and Development Under Environmental Stress)

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18 pages, 2826 KB

Open AccessArticle

Trichoderma as a Biological Nanofactory: Metabolic Control of Silver Nanoparticle Biosynthesis and Activity Against the Grapevine Trunk Pathogen Neofusicoccum parvum

by Aranzazu Gomez-Garay, Maria-Luisa Tello-Mariscal, Sergio Astudillo Calderón and Beatriz Pintos López

Agronomy 2026, 16(6), 663; https://doi.org/10.3390/agronomy16060663 - 20 Mar 2026

Viewed by 455

Abstract

Grapevine trunk diseases, particularly those caused by Neofusicoccum parvum, represent a major threat to vineyard productivity and are increasingly difficult to control with conventional fungicides. Green synthesis of silver nanoparticles (AgNPs) using biocontrol fungi offers a promising alternative, but the factors governing [...] Read more.

Grapevine trunk diseases, particularly those caused by Neofusicoccum parvum, represent a major threat to vineyard productivity and are increasingly difficult to control with conventional fungicides. Green synthesis of silver nanoparticles (AgNPs) using biocontrol fungi offers a promising alternative, but the factors governing the efficiency and bioactivity of biogenic nanoparticles remain poorly understood. Here, three Trichoderma species (T. harzianum, T. asperellum and T. virens) were evaluated as biological nanofactories for AgNP production. Cell-free fungal filtrates were used to synthesize AgNPs, which were characterized by UV–visible spectrophotometry, Dynamic Light Scattering (DLS) and transmission electron microscopy, while fungal redox metabolism was assessed using DPPH (2,2-diphenyl-1-picrylhydrazyl) radical scavenging assays and HPLC profiling of extracellular metabolites. AgNPs were tested against two isolates of N. parvum in vitro. The Trichoderma strains differed markedly in nanoparticle yield, size and antifungal activity, with T. harzianum T0 producing the highest amounts of small, well-dispersed AgNPs that exerted a strong fungistatic effect on N. parvum. Nanoparticle production correlated with antioxidant capacity and the abundance of redox-active metabolites. Integration of these parameters into a Fungal Nanofactory Efficiency Index (FNEI) revealed that nanoparticle bioactivity depends on both dose and biological origin. These results demonstrate that fungal metabolism is a key determinant of biogenic nanoparticle performance and identify Trichoderma as a platform for sustainable nanotechnology-based control of grapevine trunk pathogens. Full article

(This article belongs to the Special Issue Advances in Plant Pathology of Viticulture—2nd Edition)

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22 pages, 6253 KB

Open AccessArticle

Spreading Uniformity and Parameter Optimization of Multi-Rotor UAVs for Granular Fertilizer Application

by Xiaoyu Chen, Ruirui Zhang, Chenchen Ding, Weiwei Zhang, Peng Hu, Yue Chao and Liping Chen

Agronomy 2026, 16(6), 662; https://doi.org/10.3390/agronomy16060662 - 20 Mar 2026

Viewed by 518

Abstract

Unmanned Aerial Vehicle (UAV) fertilization is important for precision agriculture. However, multi-rotor UAVs show a lot of inconsistencies in homogeneity and unclear deposition patterns when they spread granular fertilizer in different operational situations. This study utilized the DJI T40 UAV to measure discharge [...] Read more.

Unmanned Aerial Vehicle (UAV) fertilization is important for precision agriculture. However, multi-rotor UAVs show a lot of inconsistencies in homogeneity and unclear deposition patterns when they spread granular fertilizer in different operational situations. This study utilized the DJI T40 UAV to measure discharge rates and create a correlation model. An orthogonal design combined DEM simulation with field experiments to look at how flight height and disc speed affected spreading uniformity and effective swath for single and overlapping flight paths. The discharge rate has a strong linear relationship with control parameters (R² > 0.94), which means that it is very easy to predict for all particle sizes. Single-pass deposition shows an “M-shaped” bimodal profile with particles of different sizes arranged in a radial pattern. The best values for H and n were found to be 7 m and 1200 rpm, respectively, and gave a 10 m effective swath width and a coefficient of variation (CV) of 13.79%. Deposition patterns change nonlinearly with flight height and disc speed. Particle size consistency is critical for distribution stability, with flight height being the key quality determinant and particle size variation the primary source of instability. Full article

(This article belongs to the Special Issue Novel Studies in High-Performance and Smart Plant Protection Products Application—3rd Edition)

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20 pages, 2247 KB

Open AccessArticle

Potassium Fertilization Partially Mitigates Elevated N₂O Emissions Under Alternate Wetting and Drying in Paddy Fields

by Yinghao Li, Dandan Wu, Zhengyuqi Ma, Shujun Wang, Taotao Chen, Daocai Chi and Hongtao Zou

Agronomy 2026, 16(6), 661; https://doi.org/10.3390/agronomy16060661 - 20 Mar 2026

Viewed by 400

Abstract

Nitrous oxide (N₂O) is recognized as a potent greenhouse gas, and 60% of atmospheric N₂O emissions come from cropland soils. Potassium (K) is an important fertilizer for rice paddy fields. K fertilizer decreased the abundance of functional genes mediating [...] Read more.

Nitrous oxide (N₂O) is recognized as a potent greenhouse gas, and 60% of atmospheric N₂O emissions come from cropland soils. Potassium (K) is an important fertilizer for rice paddy fields. K fertilizer decreased the abundance of functional genes mediating nitrification and denitrification processes, thereby mitigating N₂O emissions. However, few studies have explored the effect of K fertilization rates on N₂O emissions and grain yields, as well as the associated soil properties and aboveground N accumulation in paddy fields under different irrigation regimes. This study aimed to propose an optimum combination of K fertilization rate and irrigation regime to increase grain yield while reducing N₂O emissions. Here, a 2-year field experiment using a split-plot design with three replicates was conducted to assess the effect of three K fertilization rates (K₀: 0 kg ha⁻¹, K₇₅: 75 kg ha⁻¹, K₁₅₀: 150 kg ha⁻¹) on N₂O emissions, grain yield, aboveground N accumulation, and soil properties, including soil redox potential (Eh), NH₄⁺, NO₃⁻, soil gene abundance of AOA, AOB, nirK, nirS, nirK/nirS, and nosZ, under continuous flooding irrigation (I_CF) and alternate wetting and drying irrigation (I_AWD). The soil physicochemical properties, the gene abundance and the aboveground N accumulation were evaluated and used to explain how irrigation and K fertilization affect grain yield and N₂O emissions. We found that I_AWD significantly increased N₂O emissions by 38% compared to I_CF, and K fertilizer significantly reduced N₂O emissions by 15% relative to K₀. The effects of I_AWD and K fertilizer on N₂O emissions can be attributed to the combined impact of soil physicochemical properties and the abundance of functional genes governing N₂O emissions. Both irrigation regimes produced equivalent grain yield and aboveground N accumulation. Shifting from I_CF to I_AWD, the increase in N₂O emissions can be mitigated by K fertilization. Moreover, K₇₅ and K₁₅₀ had similar effects in reducing N₂O emissions and yield-scaled N₂O emissions, while K₇₅ had a lower K fertilizer cost and higher K partial factor productivity. Therefore, applying K fertilizer at 75 kg ha⁻¹ under I_AWD is identified as a potentially suitable rate to secure grain yield while effectively mitigating N₂O emissions. Full article

(This article belongs to the Special Issue Efficient Strategies for the Utilization of Water Resources and Nutrients and Crop Production)

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18 pages, 1184 KB

Open AccessArticle

Dynamics of Soil Organic Carbon and Nitrogen Fractions in Dryland Wheat Fields as Affected by Tillage Practices on the Loess Plateau of China

by Longxing Wang, Hao Li, Tianjing Xu, Xinfang Yang, Fei Dong, Shuangdui Yan and Qiuyan Yan

Agronomy 2026, 16(6), 660; https://doi.org/10.3390/agronomy16060660 - 20 Mar 2026

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Abstract

Soil organic carbon (SOC) and total nitrogen (TN) are key indicators of soil fertility; however, the dynamics of carbon (C) and nitrogen (N) fractions during winter wheat growth under different tillage systems remain poorly understood. This study examined the effects of three tillage [...] Read more.

Soil organic carbon (SOC) and total nitrogen (TN) are key indicators of soil fertility; however, the dynamics of carbon (C) and nitrogen (N) fractions during winter wheat growth under different tillage systems remain poorly understood. This study examined the effects of three tillage practices: no tillage (NT), subsoiling tillage (SS), and deep tillage (DT) on four soil organic carbon fractions (SOC, soil organic carbon; EOC, easily oxidized organic carbon; DOC, dissolved organic carbon; POC, particulate organic carbon) and four nitrogen fractions (TN, total nitrogen; NO₃⁻-N, nitrate nitrogen; NH₄⁺-N, ammonium nitrogen; DON, dissolved organic nitrogen) across five winter wheat growth stages (sowing, overwintering, jointing, filling and harvest) in the 0–50 cm soil profile. The results showed that SOC, its labile fractions, and TN all decreased with increasing soil depth, with tillage effects mainly confined to the 0–20 cm layer. SS achieved the highest SOC and TN contents in the topsoil, while NT and SS significantly enhanced the surface enrichment of C and N. In contrast, DT promoted more uniform nutrient distribution into the 30–50 cm subsoil. DON continuously accumulated throughout the growing season with faster accumulation rates under SS and NT; DOC peaked at the jointing stage, while EOC and NH₄⁺-N followed a consistent “decline–recovery–decline” seasonal pattern. SS yielded the highest total SOC stock (166.20 t ha⁻¹) in the 0–50 cm profile, particularly in the 0–30 cm layer. Correlation analysis showed that the coupling relationships among C and N indicators varied with soil depth, with the strongest positive correlation between SOC and EOC in the topsoil. Both SS and DT maintained higher soil water content (SWC) than NT in the 20–50 cm layers throughout the experimental period. In conclusion, SS emerges as the optimal balanced tillage strategy for dryland wheat fields on the Loess Plateau, simultaneously improving topsoil fertility, water retention, and C sequestration; meanwhile, DT is more effective for enhancing subsoil water and nutrient conditions. These findings provide a scientific basis for targeted tillage management to sustain soil fertility and productivity in rainfed dryland farming systems. Full article

(This article belongs to the Special Issue Soil Health and Nutrient Cycling Mediated by Plant–Microbial–Soil Interactions)

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20 pages, 3750 KB

Open AccessArticle

Effects of Edible Mushroom Cultivation on Fiber Degradation and Feed Quality of Highland Barley Straw

by Junjuan Yang, Shitao Wang, Sifan Chen, Jie Zhao, Gang Lin, Hang Yang, Zhi Li, Zhiwangjia Dan, Yajiao Zhao and Tao Shao

Agronomy 2026, 16(6), 659; https://doi.org/10.3390/agronomy16060659 - 20 Mar 2026

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Abstract

This study used highland barley straw from the Tibetan Plateau to cultivate Pleurotus ostreatus, Pholiota nameko, Lentinula edodes, Pleurotus eryngii, and Hericium erinaceus, addressing straw waste, forage shortages, and underutilized barley straw. The results showed that highland barley [...] Read more.

This study used highland barley straw from the Tibetan Plateau to cultivate Pleurotus ostreatus, Pholiota nameko, Lentinula edodes, Pleurotus eryngii, and Hericium erinaceus, addressing straw waste, forage shortages, and underutilized barley straw. The results showed that highland barley straw was suitable for cultivating P. ostreatus and P. nameko, with P. ostreatus yielding significantly more. After fruiting, spent mushroom substrates (SMS) from both species had higher crude protein, fat, and ash, with reduced fiber content compared to raw straw. P. ostreatus SMS showed greater protein accumulation and fiber degradation, offering better feed quality than P. nameko. Fungal communities were more concentrated under P. ostreatus, while P. nameko had higher diversity. Multivariate analyses showed that fungal community structure correlated with protein, fat, and feed quality, while bacterial communities were linked to fiber content. Functional predictions indicated that P. ostreatus enriched carbohydrate and energy metabolism pathways, while P. nameko was more associated with biosynthetic functions. Overall, cultivating mushrooms on barley straw improved SMS feed quality, with P. ostreatus showing greater potential for feed use. Full article

(This article belongs to the Special Issue Innovative Solutions for Producing High-Quality Silage)

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29 pages, 6237 KB

Open AccessArticle

Development of a Multi-Scale Spectrum Phenotyping Framework for High-Throughput Screening of Salt-Tolerant Rice Varieties

by Xiaorui Li, Jiahao Han, Dongdong Han, Shibo Fang, Zhanhao Zhang, Li Yang, Chunyan Zhou, Chengming Jin and Xuejian Zhang

Agronomy 2026, 16(6), 658; https://doi.org/10.3390/agronomy16060658 - 20 Mar 2026

Viewed by 444

Abstract

Soil salinization severely threatens agricultural sustainability in saline–alkali regions, and high-throughput, efficient screening of salt-tolerant rice varieties is critical to mitigating this threat. Traditional evaluation methods are constrained by low throughput, limited spatiotemporal resolution, and the lack of standardized indicators. To address these [...] Read more.

Soil salinization severely threatens agricultural sustainability in saline–alkali regions, and high-throughput, efficient screening of salt-tolerant rice varieties is critical to mitigating this threat. Traditional evaluation methods are constrained by low throughput, limited spatiotemporal resolution, and the lack of standardized indicators. To address these gaps, this study established a multi-scale spectral phenotyping framework integrating ground-based hyperspectral, UAV-borne multispectral, and Sentinel-2 satellite remote sensing data for high-throughput screening of salt-tolerant rice. Field experiments were conducted with 12 rice lines at five key growth stages in Ningxia, China, with synchronous ground spectral measurements and UAV image acquisition on the same day for each stage. Five feature selection methods were employed to screen salt stress-sensitive hyperspectral bands, with classification accuracy validated via a Support Vector Machine (SVM) model. The results showed that: (1) rice spectral characteristics varied dynamically across growth stages, and first-order differential transformation effectively amplified subtle spectral variations in stress-sensitive regions; (2) the Minimum Redundancy–Maximum Relevance (mRMR) method outperformed other methods, achieving 100% classification accuracy at key growth stages, with sensitive bands dominated by red edge bands (58.33%); (3) the constructed Salt Stress Index (SIR) showed strong correlations with classical vegetation indices and rice yield, and could clearly distinguish salt-tolerant and salt-sensitive rice varieties, with stable performance against field environmental noise; and (4) band matching between UAV and Sentinel-2 data enabled multi-scale data fusion and regional-scale salt stress monitoring. This framework realizes the transformation from qualitative spectral description to quantitative salt tolerance evaluation, providing standardized technical support for salt-tolerant rice breeding and precision management of saline–alkali lands. Full article

(This article belongs to the Section Precision and Digital Agriculture)

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21 pages, 6278 KB

Open AccessArticle

Vegetation Restoration Significantly Improved Soil Aggregate Stability in the East Qinling Mountains

by Xiaoming Xu, Yutong Xiao, Tao Huang, Xiaogang Li, Jiarong Zhang, Mingxu Gan and Yunpeng Xu

Agronomy 2026, 16(6), 657; https://doi.org/10.3390/agronomy16060657 - 20 Mar 2026

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Abstract

Although plant restoration is essential for improving soil structure and stability, there are still few systematic assessments of its impacts across various restored vegetation species, especially in environmentally sensitive areas like the East Qinling Mountains. In order to provide a scientific foundation for [...] Read more.

Although plant restoration is essential for improving soil structure and stability, there are still few systematic assessments of its impacts across various restored vegetation species, especially in environmentally sensitive areas like the East Qinling Mountains. In order to provide a scientific foundation for optimizing restoration tactics and enhancing soil erosion control and ecosystem services in the area, this study attempts to assess the impacts of different recovered plant types on soil aggregate stability and to clarify the underlying mechanisms. The Pinus tabuliformis Carrière, Quercus variabilis Blume, Robinia pseudoacacia L., Pinus tabulaeformis-Quercus variabilis mixed forest, Platycladus orientalis (L.) Franco and abandoned grassland were the six vegetation types represented by the sixteen plots. Farmland was used as a control. Soil samples were taken from three depths (0–5 cm, 5–20 cm, and 20–40 cm) and evaluated for root biomass, soil organic matter (SOM), and water-stable aggregate dispersion. Mean weight diameter (MWD), fractal dimension (D), macroaggregate content of diameter > 0.25 mm (R_0.25), and percentage of aggregate disruption (PAD) were used to evaluate aggregate stability. One-way ANOVA, LSD multiple comparisons, and Spearman correlation analysis were among the statistical analyses. In comparison to grassland and farming, forested regions, particularly mixed forests, showed considerably higher proportions of macroaggregates (>0.25 mm) and superior aggregate stability (higher MWD and R_0.25, lower D and PAD). Increased litter and coarse root inputs, which encouraged big water-stable aggregates (WSAs) and reinforced their positive connection with SOM, were the driving forces behind this development. Robinia pseudoacacia L. and Platycladus orientalis (L.) Franco displayed the highest SOM concentration and root biomass (1201.45 and 679.66 g/m², respectively). At all depths, mixed forests showed the most stable soil structure. In contrast to agriculture, vegetation restoration dramatically changed the mechanical composition of the soil, increasing the differentiation of particle-size fractions across soil layers and decreasing the amount of surface clay. Soil aggregate stability is greatly enhanced by vegetation restoration, with mixed forests offering the greatest advantages because of their varied root systems and increased input of organic matter. These results emphasize how crucial it is to choose the right vegetation types for restoration efforts in order to improve soil structure, reduce erosion, and promote ecological sustainability in the East Qinling Mountains. Full article

(This article belongs to the Special Issue Advances in Soil Management and Ecological Restoration)

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15 pages, 1290 KB

Open AccessArticle

New Insight into the Influence of Biochar Particle Size and Aging in Soil Sorption of Fluometuron

by Rocío López-Cabeza, Pilar Velarde, Kurt A. Spokas and Lucía Cox

Agronomy 2026, 16(6), 656; https://doi.org/10.3390/agronomy16060656 - 20 Mar 2026

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Abstract

Application of biochar to soil is considered a sustainable strategy to mitigate pesticide contamination due to its high sorption capacity. This ability depends on several physicochemical properties, including particle size. Thus, this study evaluated the influence of two particle size ranges (0.063–1 mm [...] Read more.

Application of biochar to soil is considered a sustainable strategy to mitigate pesticide contamination due to its high sorption capacity. This ability depends on several physicochemical properties, including particle size. Thus, this study evaluated the influence of two particle size ranges (0.063–1 mm and 1–2 mm) on the sorption of the herbicide fluometuron (FM) by a commercial biochar (BC) and how this sorption was affected by biochar aging in soil for 12 and 30 months. In a soil with low FM sorption capacity, the addition of fresh BC (2% and 4%) increased the herbicide sorption similarly for both particle sizes. However, this sorption decreased with BC aging, with a greater reduction observed in the soil amended with the smaller BC particles (90% reduction) compared with the larger ones (48% reduction) at the 4% BC rate. The FM sorption on unamended soil was highly reversible, whereas desorption was strongly reduced in soil with fresh BC. In soil amended with smaller-sized BC, the desorption increased with aging, while no FM desorption occurred in soil amended with fresh or aged larger-sized BC. This different sorption–desorption behavior of FM in BC-amended soil depending on particle size and aging emphasizes the importance of considering these parameters, as the effectiveness of BC applied to soil may be compromised. Full article

(This article belongs to the Section Soil and Plant Nutrition)

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11 pages, 1879 KB

Open AccessArticle

Impact of Fertilizer Restriction Period on Bermudagrass Traffic Tolerance and Recovery

by Alex J. Lindsey, Jaspal Singh, Natasha Restuccia and Victor Abarca

Agronomy 2026, 16(6), 655; https://doi.org/10.3390/agronomy16060655 - 20 Mar 2026

Viewed by 384

Abstract

Seasonal fertilizer restriction periods (blackouts) are commonly implemented in Florida to reduce potential nutrient losses during the summer rainy season; however, their effects on sports turf performance under traffic stress are not well documented. A two-year field study (2022–2023) was conducted in Citra, [...] Read more.

Seasonal fertilizer restriction periods (blackouts) are commonly implemented in Florida to reduce potential nutrient losses during the summer rainy season; however, their effects on sports turf performance under traffic stress are not well documented. A two-year field study (2022–2023) was conducted in Citra, FL, to evaluate the influence of nitrogen (N) fertilization timing and frequency on ‘Bimini’ bermudagrass (Cynodon dactylon L. Pers.) traffic tolerance and post-traffic recovery. Treatments included bi-weekly (24.4 kg N ha⁻¹) and monthly (48.8 kg N ha⁻¹) N applications, a pre-blackout (97.6 kg N ha⁻¹) N application, and a non-treated control. Simulated traffic was applied using a modified Baldree traffic simulator for a total of 60 traffic events each year. Turfgrass performance during traffic and recovery was assessed using percent green cover (PGC), dark green color index (DGCI), soil moisture, surface hardness, and rotational resistance. In both years, bi-weekly and monthly N applications consistently resulted in greater PGC and DGCI during traffic and recovery compared to the pre-blackout and non-treated treatments. The pre-blackout treatment provided limited and inconsistent benefits, particularly under prolonged traffic stress. Fertilizer effects on soil moisture and surface hardness varied between years, while rotational resistance was unaffected by treatment. These results indicate that reliance on pre-blackout fertilization alone may be insufficient to maintain bermudagrass traffic tolerance and recovery during periods of sustained traffic stress. Under sustained traffic pressure, applying a single fertilizer treatment just before the restriction period was less effective and produced inconsistent improvements in turfgrass coverage and color compared with staged fertilization during the growing season, reinforcing that routine N fertilization is necessary when turfgrass experiences sustained traffic. Full article

(This article belongs to the Section Grassland and Pasture Science)

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19 pages, 991 KB

Open AccessArticle

Effects of Soil Management on Dissolved Organic Carbon and Subsurface Organic Matter Stabilization in Mediterranean Perennial Cropping Systems

by Marco A. Jiménez-González, Juan E. Herranz-Luque, Juan P. Martín-Sanz, Javier González-Canales, Pilar Carral, Gonzalo Almendros, Blanca E. Sastre and Maria Jose Marques

Agronomy 2026, 16(6), 654; https://doi.org/10.3390/agronomy16060654 - 20 Mar 2026

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Abstract

Traditional soil management in vineyards and olive groves of semi-arid regions relies on repeated tillage, which accelerates soil organic matter (SOM) oxidation and limits long-term carbon storage. In the context of carbon-neutral agricultural strategies, understanding how alternative practices influence SOM stocks, redistribution, and [...] Read more.

Traditional soil management in vineyards and olive groves of semi-arid regions relies on repeated tillage, which accelerates soil organic matter (SOM) oxidation and limits long-term carbon storage. In the context of carbon-neutral agricultural strategies, understanding how alternative practices influence SOM stocks, redistribution, and stabilization is essential. We sampled six paired sites in central Spain (three vineyards and three olive groves), each comprising adjacent plots under conventional tillage or continuous cover cropping, at 0–10 and 10–30 cm depths. We analyzed water-extractable organic carbon (WEOC), optical properties of water-extractable organic matter (WEOM; specific UV absorbance at 254 nm (SUVA₂₅₄) and the absorbance ratio E4/E6), β-glucosidase activity, and the SOC/clay ratio as a proxy for mineral-associated SOC stabilization. Depth was the main factor structuring SOC and biological activity, with higher values in the topsoil. Management effects on bulk SOC were limited although cover cropping increased aboveground biomass and influenced WEOC dynamics. Vertical contrasts (30–10 cm) showed a positive association between WEOC and SOC/clay, suggesting that increased WEOC at depth co-varies with stabilization potential. Partial least squares analysis for 10–30 cm showed that SOC/clay was associated with WEOC, E4/E6, and β-glucosidase activity. These results suggest that subsoil carbon stabilization in semi-arid conditions may be linked to DOC availability and microbial processing rather than directly to surface biomass inputs. Full article

(This article belongs to the Special Issue New Pathways Towards Carbon Neutrality in Agricultural Systems)

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23 pages, 11981 KB

Open AccessArticle

Genomic and Functional Analysis of the Abscisic Acid Receptor PYL Gene Family in Sugarcane and the Positive Roles of ScPYL8 Under Pathogen Stress

by Jiaoyun Chen, Zhen Zeng, Jianwen Chen, Meixin Yan and Wankuan Shen

Agronomy 2026, 16(6), 653; https://doi.org/10.3390/agronomy16060653 - 20 Mar 2026

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Abstract

PYL proteins are core components of the abscisic acid (ABA) signaling pathway and are involved in plant responses to biotic and abiotic stresses. In this study, a total of 19, four, and eight PYL genes were identified in Saccharum spontaneum, the Saccharum [...] Read more.

PYL proteins are core components of the abscisic acid (ABA) signaling pathway and are involved in plant responses to biotic and abiotic stresses. In this study, a total of 19, four, and eight PYL genes were identified in Saccharum spontaneum, the Saccharum spp. hybrid R570, and Sorghum bicolor, respectively. Phylogenetic analysis classified these PYL genes into three distinct groups. Cis-acting element analysis, Gene Ontology annotation, and Kyoto Encyclopedia of Genes and Genomes pathway enrichment and gene expression profile indicated that members of the PYL gene family are mainly associated with hormone signaling and stress-related biological processes. The ScPYL8 gene (GenBank accession number: OR838856) was isolated from sugarcane cultivar QT3. Expression of the ScPYL8 gene was induced under stresses of cold, PEG, SA, MeJA, ABA, and brown stripe disease (Bipolaris setariae). The gene was expressed in roots, stems and leaves, with the highest expression level in leaves. Subcellular localization analysis showed that the ScPYL8 protein localized to the cytoplasm and nucleus. ScPYL8 overexpression in tobacco activated the reactive oxygen species defense system and regulated the ABA and jasmonic acid signaling pathways, enhancing its resistance against Fusarium solani var. coeruleum. These findings provide insights into the expression, function, and evolutionary characteristics of the PYL gene family in sugarcane, offering valuable genetic resources for future molecular breeding. Full article

(This article belongs to the Special Issue Advancements in Genetic Research and Breeding of Sugar Crops)

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18 pages, 4324 KB

Open AccessArticle

Rhizosphere Microbiota Shifts Correlate with Nutrient Composition of Soils and Fruit Metabolite Content in Highbush Blueberry (Vaccinium corymbosum L.) Under Different Cultivation Systems

by Mengjiao Wang, Duyen Bui, Yinku Liang and Zhimin Xu

Agronomy 2026, 16(6), 652; https://doi.org/10.3390/agronomy16060652 - 20 Mar 2026

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Abstract

This study investigated highbush blueberry (Vaccinium corymbosum L.) plants cultivated in distinct cultivation systems (greenhouse vs. open field) to determine if they exhibited significant differences in rhizosphere microbiota, soil nutrient profiles, and fruit metabolites. A clear metabolic trade-off was observed: open-field cultivation [...] Read more.

This study investigated highbush blueberry (Vaccinium corymbosum L.) plants cultivated in distinct cultivation systems (greenhouse vs. open field) to determine if they exhibited significant differences in rhizosphere microbiota, soil nutrient profiles, and fruit metabolites. A clear metabolic trade-off was observed: open-field cultivation significantly enhanced fruit secondary metabolites, including anthocyanins (9.5% higher), flavonoids (56.0% higher), and ascorbic acid (15.6% higher). In contrast, greenhouse fruits were enriched in primary metabolites such as water-soluble sugars (28.3% higher) and total organic acids (30.2% higher) (p < 0.01 for all comparisons). These divergent metabolite profiles were correlated with distinct rhizosphere microenvironments. The open field soil exhibited higher organic carbon and microbial α-diversity, while the greenhouse soil was characterized by a niche with high availability of cations, lower pH, higher electrical conductivity, and elevated levels of exchangeable Ca²⁺, Mg²⁺, and available potassium. These contrasting niches were correlated with shifts in the rhizosphere microbiota assembly. Notably, the greenhouse soil was associated with a higher relative abundance of copiotrophic bacterial taxa such as Streptomyces and Bacillus, whose abundances showed strong positive correlations with cation availability (e.g., Streptomyces vs. Ca²⁺, correlation coefficient r = 0.827, p < 0.01). Multivariate analysis integrated these patterns, revealing that soil cations were negatively correlated with fruit antioxidants but positively linked to sugars and acids. This correlative study suggests that cultivation systems are strongly associated with fruit quality, potentially through their association with functionally specific rhizosphere microbiota that covaries with a shift in the plant’s resource allocation between growth (primary metabolism) and defense (secondary metabolism). Our findings provide an integrative framework for understanding how agricultural practices are associated with the soil–plant–microbe continuum to correlate with crop quality in perennial systems and generate testable hypotheses for future mechanistic research. Full article

(This article belongs to the Special Issue Soil Health and Properties in a Changing Environment—2nd Edition)

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15 pages, 2333 KB

Open AccessArticle

Cultivar Identity and Spider Mite Herbivory Shape Rhizosphere Bacteria in Hemp (Cannabis sativa L.)

by Ivy N. Thweatt, Muhammad Saleem, Junhuan Xu, Simon Zebelo and Olufemi S. Ajayi

Agronomy 2026, 16(6), 651; https://doi.org/10.3390/agronomy16060651 - 19 Mar 2026

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Abstract

Hemp (Cannabis sativa L.) is an important crop, yet little is known about how herbivory and soil microbial communities interact to influence plant performance. In this study, two hemp cultivars, BaOx and Cherry Citrus, were grown under identical greenhouse conditions and exposed [...] Read more.

Hemp (Cannabis sativa L.) is an important crop, yet little is known about how herbivory and soil microbial communities interact to influence plant performance. In this study, two hemp cultivars, BaOx and Cherry Citrus, were grown under identical greenhouse conditions and exposed to naturally occurring background populations of the two-spotted spider mite (Tetranychus urticae). Plant traits were measured, and rhizosphere soil was sampled for 16S rRNA gene sequencing to compare bacterial community composition and diversity between cultivars. Spider mite injury was assessed using a standardized 0–5 visual damage scale commonly applied in integrated pest management studies. Although the cultivars did not differ significantly in growth traits, Cherry Citrus experienced significantly less spider mite damage than BaOx, suggesting greater tolerance or resistance to herbivory under shared conditions. Rhizosphere bacterial communities differed markedly between cultivars despite identical soil and environmental conditions. BaOx rhizospheres were enriched in Actinobacteria, including taxa associated with decomposition and antimicrobial compound production, whereas Cherry Citrus rhizospheres were enriched in Alphaproteobacteria, particularly nitrogen-cycling and root-associated taxa such as Rhizobium and Reyranella. Alpha diversity metrics did not differ between cultivars; however, beta diversity analyses revealed significant cultivar-level separation, particularly in phylogenetic community structure. Because herbivore pressure and microbial communities were not experimentally manipulated, this observational study identifies ecological associations rather than direct causal relationships. Nevertheless, the results demonstrate that hemp cultivar identity is associated with distinct rhizosphere microbiomes and differential susceptibility to spider mite damage. These findings highlight the potential for integrating cultivar selection and microbiome-informed strategies into sustainable pest management programs for hemp. Full article

(This article belongs to the Special Issue Adaptive Evolution and Resistance Mechanisms in Agricultural Pest Management)

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13 pages, 1445 KB

Open AccessArticle

Enhanced Photosynthetic Capacity and Assimilate Transport Are Associated with Higher Yield in Super Hybrid Rice

by Yixiao Chai, Bohan Zhang, Xiaotong Ren, Yunqi Dong, Min Wang and Shiwei Guo

Agronomy 2026, 16(6), 650; https://doi.org/10.3390/agronomy16060650 - 19 Mar 2026

Viewed by 332

Abstract

Enhancing rice yield under high-input systems increasingly relies on optimizing physiological processes rather than further increasing external inputs. This study aimed to clarify the physiological basis underlying the yield advantage of super hybrid rice, focusing on photosynthetic capacity and assimilate transport. We compared [...] Read more.

Enhancing rice yield under high-input systems increasingly relies on optimizing physiological processes rather than further increasing external inputs. This study aimed to clarify the physiological basis underlying the yield advantage of super hybrid rice, focusing on photosynthetic capacity and assimilate transport. We compared super hybrid rice (Yliangyou 3218 and Yliangyou 5867) with super conventional rice (Zhendao 11 and Nanjing 9108) under field conditions in 2023–2024. Super hybrid rice consistently outperformed super conventional rice, with grain yield 19.7% higher in 2023 and 23.7% higher in 2024, primarily due to an increased number of spikelets per panicle, and grain yield was also positively correlated with photosynthetic capacity (net photosynthetic rate, stomatal conductance, maximum carboxylation rate, maximum electron transport rate and triose phosphate utilization rate). In 2024, spikelets per panicle and grain yield were also positively associated with phloem soluble sugar and vascular bundle number, indicating that enhanced assimilate transport contributed to higher spikelet formation. These results demonstrate that, compared to super conventional rice, the yield advantage of super hybrid rice is underpinned by coordinated enhancement of photosynthesis and assimilate transport, highlighting the importance of source–sink optimization for further yield improvement. Full article

(This article belongs to the Section Plant-Crop Biology and Biochemistry)

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23 pages, 4880 KB

Open AccessArticle

Integrating Hydraulic Properties into Irrigation Management of Industrial Hemp (Cannabis sativa L., ‘Felina 32’) Under Mediterranean Conditions

by Anastasia Angelaki, Athanasios Vogiatzis, Maria Eirini Kotsopoulou, Vasiliki Rousta, Evgenia Kriaridou, Nikolaos Kosmas and Kalliopi Chrysoula Nisioti

Agronomy 2026, 16(6), 649; https://doi.org/10.3390/agronomy16060649 - 19 Mar 2026

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Abstract

Industrial hemp (Cannabis sativa L.) is versatile and rapidly developing, offering new prospects to producers as a multipurpose crop, yet limited water availability in the Mediterranean area due to climate change makes its sustainable management challenging. Although the plant’s water requirements have [...] Read more.

Industrial hemp (Cannabis sativa L.) is versatile and rapidly developing, offering new prospects to producers as a multipurpose crop, yet limited water availability in the Mediterranean area due to climate change makes its sustainable management challenging. Although the plant’s water requirements have been studied, a significant gap remains regarding irrigation management based on the hydraulic properties that govern water movement. The present study elucidates the role of soil hydraulic parameters in water dynamics within the rhizosphere of industrial hemp (Cannabis sativa L., ‘Felina 32’). For this purpose, a pot experiment of three irrigation treatments (100% FC, 80% FC, 60% FC; FC is the field capacity) was set up using two different soil types (clay loam CL and sandy clay loam SCL). SCL soil showed a higher C_max of about 4 cm⁻¹ compared to the C_max of 0.11 cm⁻¹ of CL soil, but dropped drastically within a narrow frame of soil moisture. CL soil resulted in about 12-fold higher diffusivity (D_max ≈ 0.23 cm² min⁻¹) within a wider range of soil moisture compared to the SCL soil (D_max ≈ 0.02 cm² min⁻¹), which facilitated water redistribution at CL, allowing the plant to maximize its water uptake, even at the lowest water input. As a result, the CL soil allowed more flexible scheduling and in contrast, SCL soil necessitated a high frequency irrigation protocol. The integration of hydraulic properties into irrigation planning revealed the potential of CL to apply water to plants efficiently across full and deficit irrigation, showing the peak performance of the irrigation water use efficiency (IWUE) (0.929 g/mm) under the 60% FC regime. The findings provide a framework for linking soil physics–agricultural hydraulics with irrigation strategies in controlled environments. Full article

(This article belongs to the Special Issue Industrial Crops Production in Mediterranean Climate)

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11 pages, 258 KB

Open AccessArticle

Visual and Olfactory Cues for Monitoring Lobesia botrana in Vineyards Under Mating Disruption

by Yasir Islam, Constanza Castillo, Marco Tasin and Eduardo Fuentes-Contreras

Agronomy 2026, 16(6), 648; https://doi.org/10.3390/agronomy16060648 - 19 Mar 2026

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Abstract

Lobesia botrana is a major pest in grapevine, monitored using sex pheromone as a standard practice. However, when the sex pheromone is used in mating disruption (MD), monitoring becomes ineffective. A blend of 2-phenylethanol (2-PET) and acetic acid (AA) was identified as an [...] Read more.

Lobesia botrana is a major pest in grapevine, monitored using sex pheromone as a standard practice. However, when the sex pheromone is used in mating disruption (MD), monitoring becomes ineffective. A blend of 2-phenylethanol (2-PET) and acetic acid (AA) was identified as an attractant for L. botrana in MD vineyards. With the aim of increasing the attraction of 2-PET/AA, we evaluated whether terpenoid-based attractants and trap color could enhance the catches of L. botrana in traps baited with 2-PET/AA. First, we assessed the attraction to 2-PET/AA in combination with two terpenoid mixtures. Grape Mimic Mixture 1 (GMM1) contained a 100:78:9 proportion of (E)-β-caryophyllene, (E)-4,8-dimethyl-1,3,7-nonatriene, and (E)-β-farnesene, and Grape Mimic Mixture 2 (GMM2) was composed of a 10:1:1:1:1:1 proportion of limonene, (E)-4,8-dimethyl-1,3,7-nonatriene, (±)-linalool, (E)-caryophyllene, farnesene, and methyl salicylate. Furthermore, we assessed whether traps of different colors (blue, green, orange, red, white, and transparent) could enhance L. botrana catches. Neither GMM1 nor GMM2 improved L. botrana catches over 2-PET/AA alone. In addition, the proportion of mated L. botrana females was similar across treatments. Transparent traps caught more moths than other colors. Our results suggest a modification in the color and odor of traps to improve the monitoring of L. botrana in vineyards treated with MD. Full article

(This article belongs to the Special Issue Plant–Insect Interactions in the Agroecosystem)

19 pages, 1373 KB

Open AccessArticle

Soil Texture Mediates the Short-Term Response of Particulate and Mineral-Associated Organic Carbon to Straw Return in the Loess Plateau

by Qiqi Wang, Yujiao Sun, Shubo Fan, Xiaohui Lian, Yulong Zhou, Leiqi Wang, Chenyang Xu, Feinan Hu, Wei Du and Jialong Lv

Agronomy 2026, 16(6), 647; https://doi.org/10.3390/agronomy16060647 - 19 Mar 2026

Viewed by 435

Abstract

In the fragile Loess Plateau ecosystem, straw return is a key measure to improve its low soil organic matter. However, the short-term carbon retention efficacy of straw return, which depends on the initial balance between carbon mineralization and sequestration, remains unclear across different [...] Read more.

In the fragile Loess Plateau ecosystem, straw return is a key measure to improve its low soil organic matter. However, the short-term carbon retention efficacy of straw return, which depends on the initial balance between carbon mineralization and sequestration, remains unclear across different soil textures. This study investigated the short-term impacts of straw return on organic carbon fractions in three soils with varying textures via laboratory incubation. Results showed that while straw return universally increased active organic carbon pools, its accumulation in the mineral-associated organic carbon (MAOC) pool was texture-dependent. Straw incorporation, especially maize straw, effectively promoted MAOC formation in clayey soils (Phaeozems and Anthrosols) with large specific surface areas. Conversely, in Arenosols, carbon was retained in active pools, limiting long-term retention potential. The mechanism involves a combined regulation by soil physicochemical properties, where clay content and specific surface area are fundamental physical drivers for MAOC accumulation, synergistically influenced by chemical factors like pH and electrical conductivity through processes such as cation bridging. These findings provide critical scientific evidence for developing texture-specific straw return management strategies for the Loess Plateau. Full article

(This article belongs to the Section Soil and Plant Nutrition)

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11 pages, 288 KB

Open AccessReview

Review of the Potential Use of Oscheius Nematodes in Biological Control

by Karolina Kralj and Žiga Laznik

Agronomy 2026, 16(6), 646; https://doi.org/10.3390/agronomy16060646 - 19 Mar 2026

Viewed by 420

Abstract

Nematodes in the genus Oscheius (Rhabditidae) have traditionally been regarded as free-living bacteriophagous or necromenic associates of insects. Over the past two decades, however, multiple Oscheius species and isolates have been shown to express facultative pathogenicity toward insects and, in some cases, parasitism [...] Read more.

Nematodes in the genus Oscheius (Rhabditidae) have traditionally been regarded as free-living bacteriophagous or necromenic associates of insects. Over the past two decades, however, multiple Oscheius species and isolates have been shown to express facultative pathogenicity toward insects and, in some cases, parasitism of mollusks. This has stimulated interest in Oscheius as a complementary group of biological control agents that may function under conditions limiting classical entomopathogenic nematodes (EPNs) of the genera Steinernema and Heterorhabditis. Here, we synthesize current knowledge on Oscheius taxonomy and diversity, life-history strategies, bacterial associations and virulence mechanisms, evidence for control of insect and mollusk pests, and recent advances in chemo-ecology relevant to host finding. We emphasize that Oscheius represents a continuum of ecological strategies, and we adopt conservative terminology in which “entomopathogenic” is reserved for Oscheius species/isolates that meet operational criteria of insect pathogenicity. Finally, we highlight key barriers to wider implementation—strain variability, bacterial partner instability, non-target and community effects, and production/quality control needs—and propose research priorities for the development of robust, field-reliable Oscheius-based biocontrol. Full article

(This article belongs to the Section Pest and Disease Management)

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Agronomy, Volume 16, Issue 6 (March-2 2026) – 83 articles

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