Journal Description
Agronomy
Agronomy
is an international, peer-reviewed, open access journal on agronomy and agroecology published semimonthly online by MDPI. The Spanish Society of Plant Biology (SEBP) is affiliated with Agronomy and their members receive discounts on the article processing charges.
- Open Access— free for readers, with article processing charges (APC) paid by authors or their institutions.
- High Visibility: indexed within Scopus, SCIE (Web of Science), PubAg, AGRIS, and other databases.
- Journal Rank: JCR - Q1 (Agronomy) / CiteScore - Q1 (Agronomy and Crop Science)
- Rapid Publication: manuscripts are peer-reviewed and a first decision is provided to authors approximately 17 days after submission; acceptance to publication is undertaken in 1.8 days (median values for papers published in this journal in the second half of 2025).
- Recognition of Reviewers: reviewers who provide timely, thorough peer-review reports receive vouchers entitling them to a discount on the APC of their next publication in any MDPI journal, in appreciation of the work done.
- Companion journals for Agronomy include: Seeds, Agrochemicals, Grasses and Crops.
Impact Factor:
3.4 (2024);
5-Year Impact Factor:
3.8 (2024)
Latest Articles
Cluster Root Formation in Macadamia integrifolia Seedlings: Responses to Phosphorus and Variation Among Grafted Scions
Agronomy 2026, 16(3), 309; https://doi.org/10.3390/agronomy16030309 (registering DOI) - 26 Jan 2026
Abstract
Cluster roots enhance phosphorus (P) acquisition in macadamia (Macadamia integrifolia), yet their development under different P levels and effects of different grafted scion/rootstock combinations are not well understood. This study examined cluster root formation in seedlings under varying soil P levels
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Cluster roots enhance phosphorus (P) acquisition in macadamia (Macadamia integrifolia), yet their development under different P levels and effects of different grafted scion/rootstock combinations are not well understood. This study examined cluster root formation in seedlings under varying soil P levels and evaluated cluster root differences between two different rootstocks, each grafted with five different scions. Cluster roots first appeared at 42 days after planting (DAP), with low P promoting greater root number but without increasing biomass. High P application (800 mg P pot−1) suppressed cluster root number by around 50%, corresponding to leaf P concentrations of ~1.05 mg g−1. Scions and rootstocks influenced cluster root development, with the H2 rootstock supporting more cluster roots than Beaumont. These results show that cluster root formation in macadamia is modulated by both P availability and genetics.
Full article
(This article belongs to the Topic Recent Progress in Plant Nutrition Research and Plant Physiology: 2nd Edition)
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Open AccessArticle
Fitness Costs of Broflanilide Resistance: Susceptibility, Resistance Risk and Adaptive Trade-Offs in Spodoptera frugiperda
by
Priscilla Amponsah, Ali Hasnain, Qiutang Huang, Zhipeng Wang, Yichi Zhang, Xiaoli Chang, Youhui Gong and Chunqing Zhao
Agronomy 2026, 16(3), 308; https://doi.org/10.3390/agronomy16030308 (registering DOI) - 26 Jan 2026
Abstract
The fall armyworm (FAW) Spodoptera frugiperda is a polyphagous pest that causes significant damage to various crops and rapidly develops resistance to insecticides. Broflanilide, a novel meta-diamide insecticide, has shown effectiveness against lepidopteran pests, but the risk of resistance and associated fitness costs
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The fall armyworm (FAW) Spodoptera frugiperda is a polyphagous pest that causes significant damage to various crops and rapidly develops resistance to insecticides. Broflanilide, a novel meta-diamide insecticide, has shown effectiveness against lepidopteran pests, but the risk of resistance and associated fitness costs in FAW remain unclear. This study evaluated the development of resistance to broflanilide over nine generations of selection using the diet incorporation method at the 70% lethal concentration (LC70) concentration. Following nine generations of selection, the LC50 value increased from 0.134 mg/kg to 0.232 mg/kg, showing a 1.73-fold increase in resistance ratio (RR). The calculated heritability of resistance (h2) was 0.084, which suggested that resistance of FAW against broflanilide is evolving at a slow rate. Based on the projected rate of resistance progression, a 10-fold increase in LC50 would take between 30.1 and 66.4 generations, assuming selection mortality rates of 90% and 50%, respectively. Fitness costs were evaluated using age-stage, two-sex life table analysis, revealing reduced fecundity and pupal weight in the broflanilide-selected (Brof-SEL) strain compared to the wild-type. The relative fitness of the Brof-SEL strain was 0.38, indicating trade-offs in biological traits. These findings suggested a low risk of rapid resistance development against broflanilide. However, effective integrated pest management strategies against FAW require the judicious use of this insecticide in combination with biological control measures, including the deployment of parasitoids and predators, to promote a more environmentally sustainable approach.
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(This article belongs to the Section Pest and Disease Management)
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Open AccessArticle
Functional Biofertilizer with Microbial and Enzyme Complex Improves Nutrients, Microbial Characteristics, and Crop Yield in Albic Soil of Heilongjiang Province, China
by
Zhuoran Chen, Yue Wang, Xianying Zhang, Mingyi Zhao, Yuan Li, Shuqiang Wang, Lingli Wang, Yulan Zhang, Zhenhua Chen, Nan Jiang, Libin Tian, Yongjie Piao and Rui Jiang
Agronomy 2026, 16(3), 307; https://doi.org/10.3390/agronomy16030307 (registering DOI) - 26 Jan 2026
Abstract
Soils with an albic horizon (characterized by a bleached, nutrient-poor eluvial layer), classified primarily as Albic Planosols and associated groups (e.g., Albic Luvisols and Retisols) in the World Reference Base for Soil Resources (WRB), are widespread in Northeast China and suffer from inherent
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Soils with an albic horizon (characterized by a bleached, nutrient-poor eluvial layer), classified primarily as Albic Planosols and associated groups (e.g., Albic Luvisols and Retisols) in the World Reference Base for Soil Resources (WRB), are widespread in Northeast China and suffer from inherent poor nutrient availability and low crop productivity. The present study aimed to evaluate the efficacy of novel microbial–enzyme composite biofertilizers in ameliorating Albic soils. This comprehensive assessment investigated their effects on soil nutrient availability, microbial community structure, and the activities of key enzymes involved in nutrient cycling (e.g., dehydrogenase and phosphatase). Concurrently, the impact on maize crop performance was determined by measuring changes in agronomic traits, including chlorophyll content, stem diameter, and final grain yield. A field experiment was conducted in Heilongjiang Province during the 2023 maize growing season using a randomized block design with six treatments: CF (conventional chemical fertilizer, 330 kg·ha−1 NPK), OF (chemical fertilizer + 1500 kg·ha−1 organic carrier), BF1 (OF + 75 kg·ha−1 marine actinomycetes), BF2 (OF + 75 kg·ha−1 actinomycetes + 45 kg·ha−1 phytase), BF3 (OF + 75 kg·ha−1 actinomycetes + 45 kg·ha−1 mycorrhizal fungi + 45 kg·ha−1 phytase), and BF4 (OF + 75 kg·ha−1 actinomycetes + 45 kg·ha−1 mycorrhizal fungi + 45 kg·ha−1 phytase + 45 kg·ha−1 β–glucosidase). The results showed that biofertilizers significantly increased microbial abundance and enzyme activity. The integrated treatment BF4 notably enhanced topsoil fungal abundance by 188.1% and dehydrogenase activity in the 0–20 cm layer, while also increasing available phosphorus by 92.6% at maturity. Although BF4 improved soil properties the most, BF3 produced the highest maize yield—boosting grain output by 18.3% over CF—and improved stem diameter and chlorophyll content. Strong correlations between microbial parameters and enzyme activities indicated a nutrient-cycling mechanism driven by microorganisms, with topsoil fungal abundance positively linked to alkaline phosphatase activity (r = 0.72) and subsoil bacterial abundance associated with available phosphorus (r = 0.65), demonstrating microbial–mediated carbon–phosphorus coupling. In conclusion, microbial–enzyme biofertilizers, particularly BF4, provide a sustainable strategy for enhancing Albic soil fertility and crop productivity.
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(This article belongs to the Special Issue Conventional and Alternative Fertilization of Crops)
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Open AccessArticle
Morphology, Heterosis, and Fertility of Novel CMS-Based Solanum melongena × S. aethiopicum Hybrids
by
Konstantinos Krommydas, Athanasios Mavromatis, Fotios Bletsos and Demetrios Roupakias
Agronomy 2026, 16(3), 306; https://doi.org/10.3390/agronomy16030306 (registering DOI) - 26 Jan 2026
Abstract
Although cytoplasmic male sterility (CMS) is well established in eggplant, CMS-based interspecific hybrids with allied species have not yet been reported or studied. In this study, five previously developed CMS-based interspecific F1 hybrids between eggplant and Solanum aethiopicum Group Aculeatum (=S.
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Although cytoplasmic male sterility (CMS) is well established in eggplant, CMS-based interspecific hybrids with allied species have not yet been reported or studied. In this study, five previously developed CMS-based interspecific F1 hybrids between eggplant and Solanum aethiopicum Group Aculeatum (=S. integrifolium) and Group Gilo (=S. gilo), together with their parental lines, were morphologically evaluated for 67 seedling, vegetative, floral, and fruit traits, and their heterosis for vegetative growth was studied. Male fertility was assessed based on anther morphology and pollen viability, while female fertility was evaluated through backcrosses to both parents. The hybrids exhibited predominantly intermediate phenotypes and clustered distinctly from parental lines as confirmed by principal component analysis. Remarkable heterosis was observed for most growth-related traits, indicating favorable nuclear–cytoplasmic interactions despite the use of CMS eggplant lines as maternal parents. All hybrids showed complete male sterility, characterized by non-viable pollen and pronounced anther homeotic alterations, the latter indicating CMS-related effects on male fertility. Female fertility was severely reduced, likely due to meiotic irregularities, as evidenced by the failure of most attempted backcrosses. However, successful recovery of BC1 progeny after backcrossing one CMS-based F1 hybrid to S. gilo demonstrates partial reproductive compatibility and provides a genetic bridge for CMS introgression into S. gilo. These results indicate that CMS systems are suitable for eggplant interspecific crosses aimed at vigorous rootstock production and CMS cytoplasm introgression into allied germplasm.
Full article
(This article belongs to the Special Issue Genetics and Breeding of Field Crops in the 21st Century—2nd Edition)
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Effects of Co-Application of Diammonium Phosphate Fertilizer with Microbial Inoculant on Soil Nitrogen Levels and Alfalfa Growth Performance in Saline-Alkali Soil
by
Shuai Wang, Changning Li, Xiaohu Wang, Chen Zhang, Yi Feng, Yang Lei and Jiahao Xu
Agronomy 2026, 16(3), 305; https://doi.org/10.3390/agronomy16030305 (registering DOI) - 25 Jan 2026
Abstract
Soil salinization leads to soil nutrient loss and decreased crop yield. This research aims to determine the optimal reduction rate of diammonium phosphate (DAP) and suitable microbial inoculant for alfalfa cultivation and nitrogen-level improvement in saline-alkali land. The experiment consisted of a factorial
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Soil salinization leads to soil nutrient loss and decreased crop yield. This research aims to determine the optimal reduction rate of diammonium phosphate (DAP) and suitable microbial inoculant for alfalfa cultivation and nitrogen-level improvement in saline-alkali land. The experiment consisted of a factorial arrangement of three DAP fertilizer levels (X1, 60%; X2, 70%; and X3, 80%) and four microbial inoculants (Y1, rhizobial inoculant; Y2, phosphate-solubilizing microbial inoculant; Y3, composite microbial inoculant; and Y4, control) in a split-plot design. The results indicated that DAP fertilizer, microbial inoculant, and their interaction significantly affected (p < 0.05) forage yield, crude protein, available nitrogen (N), and enzyme activities. Under 80% DAP fertilizer combined with the composite microbial inoculant, forage yield, plant height, soil urease (S-UE), and ammonium nitrogen (NH4+-N) reached maximum values of 17.1 t ha−1, 65.7 cm, 292.3 μg d−1 g−1, and 3.1 mg kg−1, respectively. However, the soil total nitrogen (TN) significantly increased at the 60% DAP fertilizer application rate (p < 0.05). Overall, this study demonstrates that co-application of DAP fertilizer with compound microbial inoculant delivers a green, science-based fertilization approach for improving nitrogen levels and alfalfa cultivation in saline-alkali soils.
Full article
(This article belongs to the Special Issue Utilization of Microorganisms for Sustainable Agricultural Development)
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Open AccessArticle
Comparative Evaluation of Plant-Derived Protein Hydrolysates as Biostimulants for Enhancing Growth and Mitigating Fe-Deficiency Stress in Tomato
by
Eleonora Coppa, Francesco Caddeu, Mariateresa Cardarelli, Giuseppe Colla and Stefania Astolfi
Agronomy 2026, 16(3), 304; https://doi.org/10.3390/agronomy16030304 (registering DOI) - 25 Jan 2026
Abstract
Sustainable agriculture increasingly relies on biostimulants like protein hydrolysates (PHs) to enhance crop resilience. This study characterized and compared three plant-derived PHs (PH1, PH2, and PH3) from the Malvaceae, Brassicaceae, and Fabaceae families, respectively, under optimal (40 µM Fe3+-EDTA)
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Sustainable agriculture increasingly relies on biostimulants like protein hydrolysates (PHs) to enhance crop resilience. This study characterized and compared three plant-derived PHs (PH1, PH2, and PH3) from the Malvaceae, Brassicaceae, and Fabaceae families, respectively, under optimal (40 µM Fe3+-EDTA) and iron (Fe)-deficient (4 µM Fe3+-EDTA) conditions. Initial assays demonstrated that the PHs possessed significant antioxidant capacity and influenced biological activity: PH2 and PH3 promoted pollen germination, while PH1 exhibited a weaker stimulatory effect. In vivo experiments on tomato plants revealed that PH application effectively modulated root architecture and biomass accumulation. Moreover, PH2 and PH3 significantly mitigated Fe deficiency’s impact, by maintaining biomass and preventing chlorosis. Interestingly, while Fe deficiency typically triggers massive root Fe3+-chelate reductase activity, PH treatments, particularly PH2, significantly down-regulated this response. This suggests that PHs may improve internal Fe use efficiency or facilitate alternative uptake pathways. Overall, these findings establish a link between the intrinsic bioactive properties of PHs and their biostimulant action, highlighting their potential as innovative tools for improving nutrient use efficiency and crop resilience in sustainable farming systems.
Full article
(This article belongs to the Special Issue Plant Nutrient Dynamics: From Soil to Harvest and Beyond)
Open AccessArticle
Analysis of Vegetation Dynamics and Phenotypic Differentiation in Five Triticale (×Triticosecale Wittm.) Varieties Using UAV-Based Multispectral Indices
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Asparuh I. Atanasov, Hristo P. Stoyanov, Atanas Z. Atanasov and Boris I. Evstatiev
Agronomy 2026, 16(3), 303; https://doi.org/10.3390/agronomy16030303 (registering DOI) - 25 Jan 2026
Abstract
This study investigates the vegetation dynamics and phenotypic differentiation of five triticale (×Triticosecale Wittm.) varieties under the region-specific agroecological conditions of Southern Dobruja, Bulgaria, across two growing seasons (2024–2025), with the aim of evaluating how local climatic variability shapes vegetation index patterns.
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This study investigates the vegetation dynamics and phenotypic differentiation of five triticale (×Triticosecale Wittm.) varieties under the region-specific agroecological conditions of Southern Dobruja, Bulgaria, across two growing seasons (2024–2025), with the aim of evaluating how local climatic variability shapes vegetation index patterns. UAV-based multispectral imaging was employed throughout key phenological stages to obtain reflectance indices, including NDVI, SAVI, EVI2, and NIRI, which served as indicators of canopy development and physiological status. NDVI was used as the primary reference index, and a baseline value (NDVIbase), defined as the mean NDVI across all varieties on a given date, was applied to evaluate relative varietal deviations over time. Multiple linear regression analyses were performed to assess the relationship between NDVI and baseline biometric parameters for each variety, revealing that varieties 22/78 and 20/52 exhibited reflectance dynamics most closely aligned with expected developmental trends in 2025. In addition, the relationship between NDVI and meteorological variables was examined for the variety Kolorit, demonstrating that relative humidity exerted a pronounced influence on index variability. The findings highlight the sensitivity of triticale vegetation indices to both varietal characteristics and short-term climatic fluctuations. Overall, the study provides a methodological framework for integrating UAV-based multispectral data with meteorological information, emphasizing the importance of region-specific, time-resolved monitoring for improving precision agriculture practices, optimizing crop management, and supporting informed variety selection.
Full article
(This article belongs to the Section Precision and Digital Agriculture)
Open AccessArticle
Effects of Irrigation Lower Limit and Nitrogen Rate on Productivity, Resource Use Efficiency, and Economic Benefits of Winter Rapeseed in Semi-Arid Conditions
by
Mahmood Hemat, Xiaohui Ding, Qingqing Sui, Bingxue Dong, Zhentao Bai and Junliang Fan
Agronomy 2026, 16(3), 302; https://doi.org/10.3390/agronomy16030302 (registering DOI) - 25 Jan 2026
Abstract
Integrated water and nitrogen management plays a crucial role in the sustainable intensification of rapeseed production, particularly in water-limited regions. This two-year field study (2022–2024) evaluated the interactive effects of three irrigation lower limits—W1 (90% of field capacity, [FC]), W2 (70%
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Integrated water and nitrogen management plays a crucial role in the sustainable intensification of rapeseed production, particularly in water-limited regions. This two-year field study (2022–2024) evaluated the interactive effects of three irrigation lower limits—W1 (90% of field capacity, [FC]), W2 (70% FC), and W3 (50% FC)—and four nitrogen rates (0, 80, 160, and 240 kg N ha−1; representing N0, N1, N2, N3, and N4) on winter rapeseed growth, yield, resource use efficiency, and economic performance under semi-arid conditions. Both irrigation and nitrogen significantly influenced plant growth, photosynthetic performance, biomass accumulation, and yield formation, with pronounced interactive effects observed across most measured parameters. The W1N2 treatment achieved optimal performance, producing seed yields of 5131 and 3220 kg ha−1 with superior nitrogen use efficiency. Overall, N1, N2, and N3 increased yield by 38.12%, 79.26%, and 84.85%, respectively, relative to N0. Compared with W3N0, W1N2 improved yield by 178%, water use efficiency by 131%, and irrigation water use efficiency by 110%. Relative to W1N3, W1N2 increased nitrogen agronomic efficiency, physiological efficiency, recovery efficiency, and partial factor productivity by 40.5%, 7.4%, 30.4%, and 45.2%, respectively, while reducing nitrate nitrogen residue by 12%. Entropy-TOPSIS analysis identified W1N2 as the top-ranked treatment, indicating that optimized irrigation and nitrogen management offer a sustainable strategy to maximize rapeseed productivity, enhance resource-use efficiency, and improve economic returns under water-limited conditions. For practical application in semi-arid environments, the W1N2 treatment is recommended as the optimal management strategy for sustainable winter rapeseed intensification.
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(This article belongs to the Section Water Use and Irrigation)
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Optimized Water Management Promotes Greenhouse Gas Mitigation in Global Rice Cultivation Without Compromising Yield
by
Shangkun Liu, Yujie Wang, Yuanyuan Yin and Qianjing Jiang
Agronomy 2026, 16(3), 301; https://doi.org/10.3390/agronomy16030301 (registering DOI) - 25 Jan 2026
Abstract
Rice is a vital staple food crop worldwide and also one of the major sources of greenhouse gas (GHG) emissions, generating substantial methane (CH4) and nitrous oxide (N2O). As one of the key management practices for rice production, the
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Rice is a vital staple food crop worldwide and also one of the major sources of greenhouse gas (GHG) emissions, generating substantial methane (CH4) and nitrous oxide (N2O). As one of the key management practices for rice production, the GHG mitigation potential of water management has attracted extensive attention, whereas its global scalability remains to be further investigated. Based on 15,458 global observations of field experimental data, we employed advanced machine learning methods to quantify the GHGs and soil carbon sequestration of global rice systems around 2020. Furthermore, we identified the optimal spatial distribution of GHG mitigation for five rice water management practices (continuous flooding (CF), flooding–midseason drainage–reflooding (FDF), alternate wetting and drying irrigation (AWD), flooding–midseason drainage–intermittent irrigation (FDI), and rainfed cultivation (RF)) through scenario simulation, under the premise of no yield reduction. The results of machine learning simulation showed that optimizing water management could reduce global rice greenhouse gas emissions by 39.17%, equivalent to 340.46 Mt CO2 eq, while increasing rice yields by 3.55%. This study provides valuable insights for the optimization of agricultural infrastructure and the realization of agricultural sustainable development.
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(This article belongs to the Section Agroecology Innovation: Achieving System Resilience)
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Mining Thermotolerant Candidate Genes Co-Responsive to Heat Stress in Wheat Flag Leaves and Grains Using WGCNA Analysis
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Liangpeng Chen, Zhengcong Xu, Wensheng Lin, Junkang Rong and Xin Hu
Agronomy 2026, 16(3), 300; https://doi.org/10.3390/agronomy16030300 (registering DOI) - 25 Jan 2026
Abstract
As a critically important global food crop, wheat has been increasingly threatened by the frequent occurrence of extreme high-temperature events, which impairs its growth and development, resulting in reduced seed-setting rate, compromised grain quality and diminished yield. Therefore, identifying heat-tolerant genes and enhancing
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As a critically important global food crop, wheat has been increasingly threatened by the frequent occurrence of extreme high-temperature events, which impairs its growth and development, resulting in reduced seed-setting rate, compromised grain quality and diminished yield. Therefore, identifying heat-tolerant genes and enhancing thermotolerance through molecular breeding are essential strategies for wheat improvement. In this study, we retrieved spatial transcriptomic data from the public database PRJNA427246, which captured gene expression profiles in flag leaves and grains of the heat-sensitive wheat cultivar Chinese Spring (CS) under 37 °C heat stress at time points of 0 min, 5 min, 10 min, 30 min, 1 h, and 4 h. Weighted Gene Co-expression Network Analysis (WGCNA) was used to construct co-expression networks for flag leaf and grain transcriptomes. One highly significant module was identified in each tissue, along with 35 hub genes that showed a strong temporal association with heat stress progression. Notably, both modules contained the previously characterized thermotolerance gene TaMBF1c, suggesting that additional heat-responsive genes may be present within these modules. Simultaneous analysis of the expression data from four groups (encompassing different tissues and high-temperature treatments) for the 35 core genes revealed that genes from the TaHSP20 family, TaMBF1c family, and other related genes exhibit coordinated expression patterns in terms of the temporal dynamics and tissue distribution of stress responses. Additionally, 27 genes of the small heat shock protein (HSP20) family are predicted to be involved in the endoplasmic reticulum-associated degradation (ERAD) pathway. They assist in clearing misfolded proteins induced by stress, thereby helping to maintain endoplasmic reticulum homeostasis and cellular functions under stress conditions. Finally, the expression levels of three core genes, TaHSP20-1, TaPCDP4, and TaMBF1c-D, were validated by qRT-PCR in two wheat cultivars with distinct thermotolerance: S116 (Zhehuamai 2008) and S128 (Yangmai 33). These findings provide new insights into the molecular mechanisms underlying heat tolerance in wheat and offer valuable genetic resources for breeding thermotolerant varieties.
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(This article belongs to the Special Issue Enhancing Wheat Yield Through Sustainable Farming Practices)
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Open AccessArticle
Analysis and Comprehensive Evaluation of Quality Differences of Red-Fleshed Pitahaya in Guizhou Province
by
Zhibing Zhao, Yinmei Luo, Lang Wang and Liangjie Ba
Agronomy 2026, 16(3), 299; https://doi.org/10.3390/agronomy16030299 (registering DOI) - 25 Jan 2026
Abstract
China boasts abundant cultivated resources of pitahaya, with Guizhou Province being one of its core producing areas. Quality differences in red-fleshed pitahaya among local producing areas have not been fully clarified, and a standardized quantitative evaluation system for these differences remains lacking. This
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China boasts abundant cultivated resources of pitahaya, with Guizhou Province being one of its core producing areas. Quality differences in red-fleshed pitahaya among local producing areas have not been fully clarified, and a standardized quantitative evaluation system for these differences remains lacking. This study seeks to identify the key factors influencing regional variations in quality and establish a comprehensive evaluation standard. In this study, 15 samples of red-fleshed pitahaya were collected from four major producing areas in Guizhou and used as research materials. Based on 15 quality characteristic indicators of the fruits, an analysis of quality differences and establishment of an evaluation system were carried out using multivariate statistical analysis. The results showed that 14 of the 15 quality indicators exhibited significant differences among pitahaya samples from different producing areas (p < 0.05), with the a* value being the sole exception. Cluster analysis classified the 15 samples into four groups. Principal component analysis (PCA) extracted four principal components, with a cumulative variance contribution rate of 81.07%, which clearly identified betacyanin, betaxanthin, 1,1-diphenyl-2-picrylhydrazyl (DPPH) free-radical scavenging rate, vitamin C, fruit shape index, and transverse diameter as the core evaluation indicators. This study systematically clarifies the differences in quality characteristics and the internal correlations among quality indicators of red-fleshed pitahaya from different major producing areas in Guizhou. It further provides an important scientific basis for pitahaya variety breeding, cultivation regulation, and market positioning in this region and fills the research gap existing in the field of comprehensive quality evaluation of pitahaya. This is of significant practical importance for promoting the standardized upgrading of local specialty fruit industries, enhancing the market competitiveness of products, and facilitating the high-quality development of the agricultural economy.
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(This article belongs to the Section Horticultural and Floricultural Crops)
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Open AccessReview
Alternative Splicing Responses to Plant–Biotic Interactions and Abiotic Stresses in Plants
by
Yuxia Yao, Bo Wang, Yuna Pan, Yushi Lu, Wenjin Yu and Changxia Li
Agronomy 2026, 16(3), 298; https://doi.org/10.3390/agronomy16030298 (registering DOI) - 24 Jan 2026
Abstract
Alternative splicing (AS) is a crucial post-transcriptional regulatory mechanism in eukaryotes. Plants can cope with complex environmental changes through AS. In this paper, we found that AS plays an important role in plant responses to biotic and abiotic stresses. First, we note that
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Alternative splicing (AS) is a crucial post-transcriptional regulatory mechanism in eukaryotes. Plants can cope with complex environmental changes through AS. In this paper, we found that AS plays an important role in plant responses to biotic and abiotic stresses. First, we note that under biotic stress (e.g., disease, insects), AS regulates the expression of immune-related genes and produces splice variants with different functions to regulate plant disease resistance. Second, under abiotic stress (e.g., drought, cold, heat, salt), plants generate functional splice variants via different AS events and change the original function of the gene. At the same time, we also found that splicing factors and regulatory elements, such as serine/arginine-rich proteins associated with AS, are also involved in the regulation of the expression of related resistance genes to improve plant stress resistance. Therefore, this review summarizes the recent progress on the main types of AS events, the functions of related splicing factors, and the action routes and regulatory mechanisms of splice variants. We hope to provide a reference for further understanding of the stress response mechanism of plant AS and provide a theoretical basis for the breeding of resistant varieties.
Full article
(This article belongs to the Special Issue Physiological and Molecular Mechanisms of Plant Under the Abiotic Stress)
Open AccessArticle
Effect of Growth Substrate on Yield and Chemical Composition of Pot-Grown Portulaca oleracea
by
Nikolaos Polyzos, Antonios Chrysargyris, Nikolaos Tzortzakis and Spyridon A. Petropoulos
Agronomy 2026, 16(3), 297; https://doi.org/10.3390/agronomy16030297 (registering DOI) - 24 Jan 2026
Abstract
The use of manure as a growing medium for horticultural crop cultivation is a sustainable practice that may allow a reduction in the production costs and the environmental burden of bulky waste management. For this purpose, the current study investigated the partial substitution
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The use of manure as a growing medium for horticultural crop cultivation is a sustainable practice that may allow a reduction in the production costs and the environmental burden of bulky waste management. For this purpose, the current study investigated the partial substitution of peat with manure at various rates (0% (GS1), 100% (GS2), 80% (GS3), 60% (GS4), 40% (GS5), and 20% (GS6)) in pot-cultivated purslane. Our results indicate that the substitution of peat with manure may increase crop yield by 60% to 80%. Moreover, the nutritional value was improved for specific manure rates; for example, the ash and carbohydrate contents in leaves increased at 60% and 20%, respectively, while the fat and carbohydrate contents in shoots increased at 80% and 20%, respectively. P content increased in both leaves and shoots when manure was added to the growing medium, while application at low rates (e.g., 20%) resulted in decreased N and K content. Finally, regarding leaf total phenol and flavonoid contents, as well as antioxidant activity in 2,2-diphenyl-1-picrylhydrazyl (DPPH) and 2,2′-azinobis-(3-ethylbenzothiazoline-6-sulfonic acid) (ABTS) assays, values increased when manure was added at 40% to 60%; in shoots, increased values were observed for these parameters when manure was applied at 0% or 100%. In conclusion, our results suggest that peat substitution with manure is a viable, sustainable practice in purslane cultivation in pots without compromising the yield and quality parameters of plants. However, more species and different types of manure must be tested to design tailor-made growing media for horticultural crops.
Full article
(This article belongs to the Section Horticultural and Floricultural Crops)
Open AccessArticle
Valorizing Pruning Residues into Biochar for Remediating Acidified Cropland Soil: Effects on Fertility, Enzymes, and Bacterial Communities
by
Haowen Li, Yingmei Huang, Juntao Zhang, Yongxin Liang, Jialong Wu and Kexing Liu
Agronomy 2026, 16(3), 296; https://doi.org/10.3390/agronomy16030296 (registering DOI) - 24 Jan 2026
Abstract
Intensive agriculture has intensified soil acidification in southern China, threatening crop productivity and ecosystem sustainability. Biochar can neutralize acidity, improve pH buffering, and enhance nutrient retention and microbial habitat in acidic soils. Accordingly, we produced biochars from pruned eucalyptus (ABC), camphora (ZBC), and
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Intensive agriculture has intensified soil acidification in southern China, threatening crop productivity and ecosystem sustainability. Biochar can neutralize acidity, improve pH buffering, and enhance nutrient retention and microbial habitat in acidic soils. Accordingly, we produced biochars from pruned eucalyptus (ABC), camphora (ZBC), and guava (FBC) branches via pyrolysis at 500 °C. The three biochars were characterized by elemental analysis, Fourier Transform Infrared Spectroscopy (FTIR), and SEM (Scanning Electron Microscopy), and their effects on soil properties, enzyme activities, and bacterial communities were evaluated through a 56-day incubation experiment in an acidified, continuously cropped soil. Physicochemical characterization revealed that ZBC and FBC possessed more oxygen-containing functional groups and greater potential for pH buffering and nutrient release, whereas ABC exhibited higher aromaticity and structural stability. Biochar significantly increased soil pH by 0.62–1.42 units and improved nutrient availability and carbon pools (p < 0.05). Additionally, 4% ZBC increased urease and sucrase activities by 21.54% and 79.34%, respectively, while 2% FBC increased cellulase activity by 25.99%. High-throughput sequencing identified Acidobacteria and Proteobacteria as the dominant phyla; ZBC and FBC at 0.5% and 2% significantly increased Shannon and Chao1 indices. Redundancy analysis indicated that available potassium, pH, soil organic carbon, urease, sucrase, and cellulase were the primary drivers of bacterial community variation and positively associated with carbon-cycling phyla. These findings demonstrate that feedstock-specific biochar properties critically regulate soil biogeochemical processes, offering a sustainable strategy to remediate acidified soils and valorize agroforestry residues.
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(This article belongs to the Section Soil and Plant Nutrition)
Open AccessReview
Research Progress on Machine Vision Detection Technology for Foreign Fibers in Cotton
by
Guogang Gao, Fangshen Zhang, Lihua Huang, Yasong Wang, Xin Zhang and Yiping Wang
Agronomy 2026, 16(3), 295; https://doi.org/10.3390/agronomy16030295 (registering DOI) - 24 Jan 2026
Abstract
Foreign fiber (FF, plural: FFs) contamination has been demonstrated to have a substantial impact on the quality and profitability of cotton textiles. Machine vision technology, characterized by its non-contact approach and high efficiency, has emerged as the primary solution for detecting FFs in
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Foreign fiber (FF, plural: FFs) contamination has been demonstrated to have a substantial impact on the quality and profitability of cotton textiles. Machine vision technology, characterized by its non-contact approach and high efficiency, has emerged as the primary solution for detecting FFs in cotton. This paper commences with a precise definition and classification of FF and a concomitant analysis of the mechanisms of contamination. Subsequently, a systematic review of global research advancements in imaging technologies and the evolution of algorithms is conducted. This paper emphasizes the use of X-ray, ultraviolet fluorescence, line laser, polarized light, infrared imaging, and hyperspectral imaging techniques for FF detection. Through a comparative analysis, it reveals the applicable scope and effectiveness of various imaging schemes. Regarding the evolution of algorithms, this paper expounds on the technical development process from traditional image processing to machine learning (ML) and deep learning (DL). The study meticulously examines the strengths and weaknesses of each algorithmic stage. In conclusion, this paper synthesizes the prevailing technical challenges confronting machine vision detection of FFs in cotton and proffers recommendations for future research directions in this domain, emphasizing multi-technology integration, algorithm optimization, and hardware innovations.
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(This article belongs to the Special Issue Agricultural Imagery and Machine Vision)
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Open AccessArticle
Mapping Soil Erodibility Using Machine Learning and Remote Sensing Data Fusion in the Northern Adana Region, Türkiye
by
Melek Işik, Mehmet Işik, Mert Acar, Taofeek Samuel Wahab, Yakup Kenan Koca and Cenk Şahin
Agronomy 2026, 16(3), 294; https://doi.org/10.3390/agronomy16030294 (registering DOI) - 24 Jan 2026
Abstract
Soil erosion is a major threat to the sustainable productivity of arable lands, making the accurate prediction of soil erodibility essential for effective soil conservation planning. Soil erodibility is strongly controlled by intrinsic soil properties that regulate aggregate resistance and detachment processes under
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Soil erosion is a major threat to the sustainable productivity of arable lands, making the accurate prediction of soil erodibility essential for effective soil conservation planning. Soil erodibility is strongly controlled by intrinsic soil properties that regulate aggregate resistance and detachment processes under erosive forces. In this study, machine learning (ML) models, including the Multi-layer Perceptron Regressor (MLP), Random Forest (RF), Decision Tree (DT), and Extreme Gradient Boosting (XGBoost), were applied to predict the soil erodibility factor (K-factor). A comprehensive set of soil properties, including soil texture, clay ratio (CR), organic matter (OM), aggregate stability (AS), mean weight diameter (MWD), dispersion ratio (DR), modified clay ratio (MCR), and critical level of organic matter (CLOM), was analyzed using 110 soil samples collected from the northern part of Adana Province, Türkiye. The observed K-factor was calculated using the RUSLE equation, and ML-based predictions were spatially mapped using Geographic Information Systems (GISs). The mean K-factor values for arable, forest, and horticultural land uses were 0.065, 0.071, and 0.109 t h MJ−1 mm−1, respectively. Among the tested models, XGBoost showed the best predictive performance, with the lowest MAE (0.0051) and RMSE (0.0110) and the highest R2 (0.9458). Furthermore, the XGBoost algorithm identified the CR as the most influential variable, closely followed by clay and MCR content. These results highlight the potential of ML-based approaches to support erosion risk assessment and soil management strategies at the regional scale.
Full article
(This article belongs to the Section Precision and Digital Agriculture)
Open AccessArticle
Responses of Sorghum Growth and Rhizosphere–Plastisphere Microbiomes to Cadmium and Polypropylene Microplastic Co-Contamination
by
Zong-Hua Wang, Shan-Shan Gao, Lei Yang, Yue-Liang Meng, Meng Wang, Bai-Lian Larry Li and Zhao-Jin Chen
Agronomy 2026, 16(3), 293; https://doi.org/10.3390/agronomy16030293 (registering DOI) - 24 Jan 2026
Abstract
Microplastics (MPs) can serve as bearers of microorganisms and additional contaminants. However, the functional composition and assembly processes of plastisphere bacteria in co-contaminated soil–plant systems are not yet well understood. Using a pot experiment, we examined the effects of both individual and combined
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Microplastics (MPs) can serve as bearers of microorganisms and additional contaminants. However, the functional composition and assembly processes of plastisphere bacteria in co-contaminated soil–plant systems are not yet well understood. Using a pot experiment, we examined the effects of both individual and combined cadmium (Cd) and polypropylene (PP) MP contamination on the development of the bioenergy plant sorghum. The bacterial community, co-occurrence networks, and assembly processes in the rhizosphere soil and PP plastisphere were investigated using high-throughput sequencing. Compared with contamination by a single compound, combined contamination with Cd and PP had a more potent inhibitory effect on the development of sorghum. PCoA and diversity indices indicate that the bacterial community on PP plastics is structurally simpler than that in rhizosphere soil. The PP plastisphere could recruit bacteria from the genera Sphingomonas, Rhizobium, and Bacillus. The bacterial communities in the soil and the PP plastisphere were mostly formed by stochastic processes, with diffusion limitation playing a greater role in the bacterial community in the PP plastisphere. Co-occurrence network analysis revealed differences between the bacterial communities in the soil and in the PP plastisphere, with the network in the PP plastisphere showing lower complexity and connectivity. Functional prediction revealed that the prevalence of nitrogen cycling genes was greater in the PP plastisphere than in the dirt and that the PP plastisphere presented greater metabolic activity. The relative prevalence of metabolic pathways associated with human diseases was markedly elevated in the PP plastisphere, which may be correlated with the dissemination of pathogenic microorganisms. These findings indicate that the PP plastisphere, as a distinct microbial niche, might attract certain bacteria, consequently affecting the functional characteristics of cocontaminated soil–plant systems.
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(This article belongs to the Special Issue Impact of Phytoremediation on Soil Ecosystems)
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Open AccessArticle
Synchronous Spray Effect Based on Dual Plant-Protection UAV Collaboration in Corn Fields
by
Shenghui Yang, Shuyuan Zhai, Xiangye Yu, Weihong Liu, Yongjun Zheng, Hangxing Zhao, Han Feng, Haoyu Wang and Wenbo Xu
Agronomy 2026, 16(3), 292; https://doi.org/10.3390/agronomy16030292 (registering DOI) - 24 Jan 2026
Abstract
It has become common to apply multiple drones to conduct plant-protection in large-scale farms, where dual-UAV synchronisation is representative. However, current studies are mainly dedicated to the spray quality of a single UAV, and it remains unclear whether synchronous operation affects spray effectiveness.
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It has become common to apply multiple drones to conduct plant-protection in large-scale farms, where dual-UAV synchronisation is representative. However, current studies are mainly dedicated to the spray quality of a single UAV, and it remains unclear whether synchronous operation affects spray effectiveness. This paper focuses on the spray efficacy and coupling effects of dual-UAV collaboration. Five-factor orthogonal four-level tests were conducted using the developed UAV collaboration system, and the results were compared with those of asynchronous and ideal linear superposition. It is indicated that (1) spray uniformity was impacted by the relative height between the UAVs and the flight speed of the UAVs (all the p-values < 0.02), whilst the deposition amount was affected by the relative horizontal spacing between the UAVs and the height of the left UAV relative to the forward flight direction (all the p-values < 0.04); (2) the proportion of high-quality spray in the coupling areas had a negative relation with the relative horizontal distance of the two UAVs, and the threshold of the effective coupling distance was 5 m; and (3) synchronous coupling should be avoided. If it is not, the left-side UAV (referring to the forward direction of flight) should be at a higher altitude (5 m or 6.5 m), be 0.5 m higher than the right and fly with a low or medium flight speed (3.5 m/s–4.5 m/s). The research can give a reference to the real spray operation by multiple UAVs.
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(This article belongs to the Special Issue New Trends in Agricultural UAV Application—2nd Edition)
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Open AccessArticle
Biorational Pesticides for the Control of Brevipalpus yothersi (Acari: Tenuipalpidae) and Their Compatibility with Predatory Mites
by
Poliane S. Argolo, Amy L. Roda, Alexandra M. Revynthi and Daniel Carrillo
Agronomy 2026, 16(3), 291; https://doi.org/10.3390/agronomy16030291 (registering DOI) - 24 Jan 2026
Abstract
Recently, ornamental plants in urban and unmanaged landscapes were found to be infected with several plant viruses transmitted by Brevipalpus mites. The main purpose of this research was to identify suitable tools for managing Brevipalpus yothersi in these environments by evaluating the efficacy,
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Recently, ornamental plants in urban and unmanaged landscapes were found to be infected with several plant viruses transmitted by Brevipalpus mites. The main purpose of this research was to identify suitable tools for managing Brevipalpus yothersi in these environments by evaluating the efficacy, persistence, and rainfastness of selected biorational pesticides, as well as their compatibility with the predatory mite Amblyseius largoensis. We found that horticultural oils (i.e., petroleum distillates with varying levels of refinement, marketed as mineral or paraffinic oils) and Beauveria bassiana (Strain GHA) suppressed all developmental stages of B. yothersi at levels comparable to spirodiclofen, a commonly used acaricide for controlling B. yothersi. The paraffinic oil provided the best overall performance across the rainfastness, residuality, and greenhouse evaluations. This food-grade horticultural oil is exempt from residue tolerances and could be readily adopted for B. yothersi control in urban landscapes. Paraffinic oil had adverse effects on predatory mites. However, predator populations recovered after paraffinic oil application, and the combined treatment of paraffinic oil + A. largoensis ultimately provided better control than either the predators or the oil alone. When properly applied, horticultural oils provide a practical option for controlling populations of viruliferous Brevipalpus mites in urban and unmanaged landscapes.
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(This article belongs to the Special Issue Integrated Mite Management in Agriculture)
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Open AccessArticle
Optimized Nitrogen Application Under Mulching Enhances Maize Yield and Water Productivity by Regulating Crop Growth and Water Use Dynamics
by
Haoran Sun, Xufeng Wang, Shengdan Duan, Mengni Cui, Guangyao Xing, Shanchao Yue, Miaoping Xu and Yufang Shen
Agronomy 2026, 16(3), 290; https://doi.org/10.3390/agronomy16030290 (registering DOI) - 23 Jan 2026
Abstract
Surface mulching and nitrogen (N) application are widely used to enhance crop yield and water productivity (WP). However, their combined effects remain unclear. Here, a three-year field experiment was conducted to comprehensively assess the effects of surface mulching (no mulching, B; straw mulching,
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Surface mulching and nitrogen (N) application are widely used to enhance crop yield and water productivity (WP). However, their combined effects remain unclear. Here, a three-year field experiment was conducted to comprehensively assess the effects of surface mulching (no mulching, B; straw mulching, S; and plastic film mulching, F) and N fertilization (no N application, N0; split application of urea, N1; 1:2 mixture of controlled-release urea and urea, N2) on maize growth, yield, and WP on the Loess Plateau. Application of nitrogen (N) significantly increased evapotranspiration (ET), grain yield, and WP by 4.58%, 176% (from 5215.43 kg ha−1 in N0 to 14,548.21 kg ha−1 in N2), and 166% (from 11.36 kg ha−1 mm−1 in N0 to 30.63 kg ha−1 mm−1 in N2), respectively. Compared with B and S, F increased ET during the pre-silking stage by 16.75% and 23.99%, respectively, and shortened the vegetative period of maize by 3–9 days but extended the duration from the milky stage (R3) to physiological maturity (R6) in the reproductive period by 5–13 days. F significantly increased yield and WP by 9.18% and 8.26% compared with S. Under F combined with N application, deep soil water (100–200 cm) consumption during R1–R3 increased by 15.75 mm and 13.15 mm compared with B and S, respectively. The combination of F and N2 achieved the highest yield (15,648.28 kg ha−1) and WP (32.44 kg ha−1 mm−1) without causing detectable depletion of soil water within the 0–200 cm profile during the study period, providing an effective strategy for enhancing crop yield and improving water–fertilizer use efficiency in semi-arid regions.
Full article
(This article belongs to the Special Issue Advancements in Precision Fertilization and Water Management for Sustainable Agriculture)
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