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)
subject
Imprint Information
Open Access
ISSN: 2073-4395
Latest Articles
Effects of Nitrogen Addition and Mowing on Plant–Soil Stoichiometric Characteristics and Homeostasis in Degraded Grasslands Dominated by Sophora alopecuroides L.
Agronomy 2026, 16(3), 332; https://doi.org/10.3390/agronomy16030332 (registering DOI) - 28 Jan 2026
Abstract
Grassland degradation, exacerbated by climate change and anthropogenic disturbances, poses a substantial barrier to ecological restoration, largely due to the invasion of toxic weeds. In the degraded grasslands of the Ili River Valley, Xinjiang, Sophora alopecuroides has emerged as the dominant toxic species;
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Grassland degradation, exacerbated by climate change and anthropogenic disturbances, poses a substantial barrier to ecological restoration, largely due to the invasion of toxic weeds. In the degraded grasslands of the Ili River Valley, Xinjiang, Sophora alopecuroides has emerged as the dominant toxic species; yet, its expansion mechanisms and sensitivity to management interventions remain poorly understood. This study utilized a three-year (2023–2025) field experiment to evaluate the impacts of nitrogen addition (N), mowing (M), and their combination (NM) on the stoichiometric characteristics and homeostasis of the plant–soil system. The results demonstrated that while M suppressed aboveground biomass, it facilitated the accumulation of root carbon (RC) and phosphorus (RP). Nitrogen enrichment significantly lowered soil C:N and C:P ratios, thereby alleviating phosphorus limitation. Crucially, the NM treatment effectively counteracted N-induced weed proliferation and mitigated M-induced biomass reductions. Analysis of stoichiometric homeostasis revealed that NM optimized plant adaptive strategies, maintaining strict homeostasis for RC and RP (H > 4) while preserving the sensitivity of the root N:P ratio of S. alopecuroides (RN:P). Structural equation modeling further indicated that soil C:P and N:P indirectly regulated total biomass by modulating the root C:P ratio of S. alopecuroides (RC:P). Consequently, stoichiometric coupling within the plant–soil system is essential for maintaining ecosystem functions. Integrated management (NM) optimizes soil nutrient balance and harnesses compensatory growth to suppress weed expansion, providing a robust scientific framework for the restoration of S. alopecuroides-invaded grasslands.
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(This article belongs to the Section Soil and Plant Nutrition)
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Exploring the Possible Role of Semiochemicals in Quince (Cydonia oblonga Mill.): Implications for the Biological Behavior of Cydia pomonella
by
María Pía Gomez, Flavia Jofré Barud, Sayra Jaled, Silvina Garrido, Liliana Cichón and María Liza López
Agronomy 2026, 16(3), 331; https://doi.org/10.3390/agronomy16030331 (registering DOI) - 28 Jan 2026
Abstract
The codling moth (Cydia pomonella L.) is a major pest of pome fruits worldwide, guided by semiochemicals to locate hosts and oviposition sites. Quince (Cydonia oblonga Mill.), although less studied, is also affected by this pest. This study aimed to identify
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The codling moth (Cydia pomonella L.) is a major pest of pome fruits worldwide, guided by semiochemicals to locate hosts and oviposition sites. Quince (Cydonia oblonga Mill.), although less studied, is also affected by this pest. This study aimed to identify behaviorally active compounds for codling moth by characterizing the volatilome of quince cultivars. Volatile profiles were analyzed across four phenological stages (flowering, unripe, growth, and ripe fruit) using solid-phase microextraction and GC–MS. The cultivars evaluated were Champion, INTA 37, INTA 117, and INTA 147. Female oviposition behavior and neonate larval host choice were also assessed. Identified volatiles included esters, sesquiterpenes, monoterpenes, alcohols, aldehydes, and norisoprenoids. Among monoterpenes, limonene, consistently detected across all cultivars and stages, emerged as a key kairomone. Volatile composition varied across phenological stages, with the fruit growth stage exhibiting the highest diversity and abundance of compounds previously reported as behaviorally active. This pattern coincided with peak female oviposition and larval host selection. Females oviposited mainly on leaf surface, whereas during ripening, eggs were deposited on fruit lacking pubescence. Overall, INTA 147 was the most preferred cultivar. These findings highlight quince volatiles, particularly Limonene, as potential candidates for the development of semiochemical-based tools to improve codling moth management.
Full article
(This article belongs to the Special Issue Advancing Sustainable Agriculture: Biopesticides and the Biological Control for Pest Management)
Open AccessArticle
Rainfall as the Dominant Trigger for Pulse Emissions During Hotspot Periods of N2O Emissions in Red Soil Sloping Farmland
by
Liwen Zhao, Haijin Zheng, Jichao Zuo, Xiaofei Nie and Rong Mao
Agronomy 2026, 16(3), 330; https://doi.org/10.3390/agronomy16030330 (registering DOI) - 28 Jan 2026
Abstract
Farmland N2O emissions exhibit significant fluctuations in subtropical regions due to notable seasonal rainfall and temperature variations. The dominant factors influencing N2O emissions in red-soil sloping farmland, which is widely distributed and actively cultivated in the region, remain uncertain.
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Farmland N2O emissions exhibit significant fluctuations in subtropical regions due to notable seasonal rainfall and temperature variations. The dominant factors influencing N2O emissions in red-soil sloping farmland, which is widely distributed and actively cultivated in the region, remain uncertain. To investigate N2O emission characteristics of red-soil sloping farmland and responses to meteorological and soil environmental variables and tillage practices, a typical planting system (summer peanut-winter rapeseed rotation system) in southern China was selected. Two common soil micro-environments (conventional tillage, CT, n = 6; and conventional tillage with straw mulching, MT, n = 4) were established within this system, and in situ N2O emissions were monitored over two consecutive years using the static chamber–gas chromatography method. The N2O emission peaks across various growing seasons occurred primarily within 1 to 16 days after fertilization. The N2O emission hotspot periods were observed during the first month following fertilization, accounting for 74.13–91.01% of the total emissions during each growing season. Significant interannual variations in seasonal N2O cumulative emissions were observed, whereas no significant difference in cumulative N2O emissions was observed between MT and CT. Changes in weather and soil environment jointly drive the dynamics of N2O emissions from red soil sloping farmland. Rapeseed-season N2O emissions were driven mainly by rainfall and air temperature, whereas peanut-season N2O emissions were also influenced by soil temperature and NO3−-N content at 0–10 cm depths. These findings provide a sound basis for developing eco-agricultural mitigation pathways in subtropical red-soil hilly regions.
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(This article belongs to the Section Farming Sustainability)
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Open AccessArticle
One-Season Polyethylene Mulching Reduces Cadmium Uptake in Rice but Disrupts Rhizosphere Microbial Community Stability: A Double-Edged Sword
by
Tao Luo, Runtong Huang, Zheng Lin, Chongfeng Gao, Xiaolong Liu, Shuai Xiao, Liqin Zheng, Shunan Zhang, Rui Du, Lei Wang, Hongxia Duan, Zhimin Xu and Jinshui Wu
Agronomy 2026, 16(3), 329; https://doi.org/10.3390/agronomy16030329 (registering DOI) - 28 Jan 2026
Abstract
Polyethylene (PE) mulching has been widely practiced in agriculture for decades, but its short-term impacts on heavy metal dynamics and crop safety under field conditions remain poorly understood. In this study, a one-season field trial was carried out in Cd-contaminated paddy to evaluate
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Polyethylene (PE) mulching has been widely practiced in agriculture for decades, but its short-term impacts on heavy metal dynamics and crop safety under field conditions remain poorly understood. In this study, a one-season field trial was carried out in Cd-contaminated paddy to evaluate how PE mulching influences rhizosphere microbial communities, soil physicochemical properties, and Cd accumulation in rice. Results showed that PE mulching improved rice performance, increasing dry grain weight by 14.47% and thousand-grain weight by 1.10 folds, while reducing grain Cd concentration from 0.2307 to 0.1727 mg/kg, below the national safety threshold of 0.2 mg/kg. These effects were closely linked to elevated soil pH, decreased redox potential, and the enrichment of metal-reducing (Geobacteraceae, Desulfuromonadia) and sulfate-reducing (Desulfosporosinus, Methanospirillum) taxa, which promoted Cd immobilization into less bioavailable forms. A structural equation model (SEM) further confirmed that microbial abundance and Cd speciation were key factors associated with Cd uptake by rice. However, PE mulching also reduced microbial diversity and functional redundancy, disrupted co-occurrence networks, and potentially weakened rhizosphere ecosystem stability and resilience in the short term. This study provides field-based evidence that PE mulching reduces food safety risks and improves yield but destabilizes soil microbial communities, highlighting its short-term double-edged ecological effects and the need for balanced management to sustain productivity and soil health.
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(This article belongs to the Special Issue Microplastics and Nanoplastics in Agroecosystems: Strategies to Mitigate Plastic Pollution for Sustainable Agriculture)
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Open AccessArticle
SLD-YOLO11: A Topology-Reconstructed Lightweight Detector for Fine-Grained Maize–Weed Discrimination in Complex Field Environments
by
Meichen Liu and Jing Gao
Agronomy 2026, 16(3), 328; https://doi.org/10.3390/agronomy16030328 (registering DOI) - 28 Jan 2026
Abstract
Precise identification of weeds at the maize seedling stage is pivotal for implementing Site-Specific Weed Management and minimizing herbicide environmental pollution. However, the performance of existing lightweight detectors is severely bottlenecked by unstructured field environments, characterized by the “green-on-green” spectral similarity between crops
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Precise identification of weeds at the maize seedling stage is pivotal for implementing Site-Specific Weed Management and minimizing herbicide environmental pollution. However, the performance of existing lightweight detectors is severely bottlenecked by unstructured field environments, characterized by the “green-on-green” spectral similarity between crops and weeds, diminutive seedling targets, and complex mutual occlusion of leaves. To address these challenges, this study proposes SLD-YOLO11, a topology-reconstructed lightweight detection model tailored for complex field environments. First, to mitigate the feature loss of tiny targets, a Lossless Downsampling Topology based on Space-to-Depth Convolution (SPD-Conv) is constructed, transforming spatial information into depth channels to preserve fine-grained features. Second, a Decomposed Large Kernel Attention (D-LKA) mechanism is designed to mimic the wide receptive field of human vision. By modeling long-range spatial dependencies with decomposed large-kernel attention, it enhances discrimination under severe occlusion by leveraging global structural context. Third, the DySample operator is introduced to replace static interpolation, enabling content-aware feature flow reconstruction. Experimental results demonstrate that SLD-YOLO11 achieves an mAP@0.5 of 97.4% on a self-collected maize field dataset, significantly outperforming YOLOv8n, YOLOv10n, YOLOv11n, and mainstream lightweight variants. Notably, the model achieves Zero Inter-class Misclassification between maize and weeds, establishing high safety standards for weeding operations. To further bridge the gap between visual perception and precision operations, a Visual Weed-Crop Competition Index (VWCI) is innovatively proposed. By integrating detection bounding boxes with species-specific morphological correction coefficients, the VWCI quantifies field weed pressure with low cost and high throughput. Regression analysis reveals a high consistency (R2 = 0.70) between the automated VWCI and manual ground-truth coverage. This study not only provides a robust detector but also offers a reliable decision-making basis for real-time variable-rate spraying by intelligent weeding robots.
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(This article belongs to the Section Farming Sustainability)
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Open AccessReview
Impact of High Temperatures, Considerations and Possible Solutions for Sustainable Lettuce Production
by
Kelvin D. Aloryi, Hannah Mather, Germán V. Sandoya and Kevin Begcy
Agronomy 2026, 16(3), 327; https://doi.org/10.3390/agronomy16030327 (registering DOI) - 28 Jan 2026
Abstract
High temperature is a major environmental stress factor that affects lettuce (Lactuca sativa L.) growth, development, and productivity. As global temperatures continue to rise, understanding the impact of heat stress on lettuce production is crucial for maintaining crop yields and quality. In
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High temperature is a major environmental stress factor that affects lettuce (Lactuca sativa L.) growth, development, and productivity. As global temperatures continue to rise, understanding the impact of heat stress on lettuce production is crucial for maintaining crop yields and quality. In fields and in controlled environment agriculture, these elevated temperatures lead to poor seed germination due to thermoinhibition, earlier bolting due to faster crop development, and reduced marketable yields and an increased likelihood of heat-related disorders such as tipburn. Achieving heat tolerance in controlled environment agriculture is paramount as this industry struggles with higher production costs from the excessive use of cooling systems to acclimate greenhouses to temperatures ideal for lettuce production whereas field-grown lettuce must withstand highly variable and extreme thermal conditions, making heat stress a major constraint in both systems. This review comprehensively summarizes the current literature on the impact of heat stress on lettuce and highlights the influence of heat stress at the physiological, biochemical, and molecular level. In addition, we highlight management practices on lettuce production and sustainability as well as the breeding potential for heat tolerance. We synthesized these findings into a proposed conceptual framework for selecting and identifying genomic targets to advance the improvement of heat resilience in lettuce.
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(This article belongs to the Collection Crop Physiology and Stress)
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Open AccessArticle
Doubling CO2 Modulates Root Morphology to Enhance Maize Elemental Stoichiometry and Water Use Efficiency Under Soil Drought and Salinity
by
Changtong Xu, Haoran Tong, Zesen Gao, Wentong Zhao, Chunshuo Liu, Manyi Zhang and Zhenhua Wei
Agronomy 2026, 16(3), 326; https://doi.org/10.3390/agronomy16030326 (registering DOI) - 28 Jan 2026
Abstract
This study aimed to explore the effect of doubled CO2 concentration (d[CO2]) on the modulation of root morphological structure, leaf potassium (K)/sodium (Na) ratio, and nutrient stoichiometry, as well as water use efficiency (WUE) of a C4
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This study aimed to explore the effect of doubled CO2 concentration (d[CO2]) on the modulation of root morphological structure, leaf potassium (K)/sodium (Na) ratio, and nutrient stoichiometry, as well as water use efficiency (WUE) of a C4 maize (Zea mays L.) in response to soil drought and salinity. C4 maize was grown in two atmospheric CO2 concentrations of 400 and 800 ppm (a[CO2] and d[CO2]), subjected to two soil water regimes (well-watered and drought stress) and two soil salinity levels (0 and 100 mM NaCl pot−1 (non-salt and salt stress)). The results indicated that soil drought increased maize root tissue density and specific root length. Both d[CO2] and salt stress reduced leaf phosphorus (P) and K concentrations; conversely, drought stress enhanced leaf nitrogen (N) and K concentrations. The lower specific leaf area, but greater specific leaf N and N/K under soil drought, was amplified by salt stress. In contrast, d[CO2] promoted leaf carbon (C)/N and C/K. Notably, d[CO2] combined with soil drought enhanced leaf K/Na under salt stress. Moreover, d[CO2] ameliorated the adverse impacts of soil drought and salinity on root morphology in terms of enlarged root length and root surface area, contributing to superior leaf C, N, and K use efficiency and consequently improved C4 maize plant dry mass and WUE. These findings would provide essential knowledge to elevate salt tolerance and achieve optimal nutrient homeostasis and WUE in C4 maize, adapting to future drier and more saline soils under a CO2-enriched scenario.
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(This article belongs to the Special Issue Efficient Water and Nutrient Utilization of Crops Under Changed Environment)
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Open AccessArticle
Emergy and Environmental Assessment of Various Greenhouse Cultivation Systems
by
Lifang Zhang, Hongjun Yu, Sufian Ikram, Tiantian Miao, Qiang Li and Weijie Jiang
Agronomy 2026, 16(3), 325; https://doi.org/10.3390/agronomy16030325 (registering DOI) - 28 Jan 2026
Abstract
Horticultural facilities can boost crop yields and quality. However, their structures, costs, and resource efficiency vary significantly. Many facility operators prioritize short-term economic gains at the expense of long-term investments in energy efficiency and environmental management, ultimately leading to increased energy consumption and
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Horticultural facilities can boost crop yields and quality. However, their structures, costs, and resource efficiency vary significantly. Many facility operators prioritize short-term economic gains at the expense of long-term investments in energy efficiency and environmental management, ultimately leading to increased energy consumption and higher greenhouse gas emissions. A systems-based assessment of tomato production is essential for optimizing resource use. This study integrated emergy analysis (EMA) and life cycle assessment (LCA) to evaluate the sustainability of three tomato production systems: polytunnels, solar greenhouses, and glass greenhouses. The Results demonstrated that polytunnels exhibited the best environmental performance, with the lowest environmental loading ratio (ELR, 19.06) and environmental final index (EFI, 1.62). Solar greenhouses showed the best environmental composite index (ECI), outperforming others in mitigating potential environmental impacts. Glass greenhouses imposed the greatest environmental pressure (ELR, 168.51), primarily due to substantial natural gas consumption and infrastructure investment. Scenario analyses revealed that environmental performance across all systems could be significantly enhanced through shortening transport distance, extending the service life of construction materials, and managing energy use. The maximum reduction potentials for the environmental composite index (ECI)were 23.80% for polytunnels, 18.60% for solar greenhouses, and 19.90% for glass greenhouses. This study confirms that polytunnels are the most environmentally friendly option, and targeted management strategies can effectively steer facility-based agriculture toward a more sustainable trajectory.
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(This article belongs to the Section Farming Sustainability)
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Open AccessArticle
Phosphorus Regulates Cotton Fiber Development Through GhPHR1-GhGCS1 Module
by
Zhiqing Qiao, Junli Ding, Qiaoling Wang, Xingying Yan, Yinghui Gao, Pingting Tan, Ning Liu, Fei Liu and Ming Luo
Agronomy 2026, 16(3), 324; https://doi.org/10.3390/agronomy16030324 (registering DOI) - 28 Jan 2026
Abstract
Cotton is an important cash crop globally. Cotton fiber is the main economic product of cotton plants. Phosphorus, as one of the essential nutrients, plays an important role in plant growth and development. However, few studies focus on phosphorus regulating fiber elongation. In
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Cotton is an important cash crop globally. Cotton fiber is the main economic product of cotton plants. Phosphorus, as one of the essential nutrients, plays an important role in plant growth and development. However, few studies focus on phosphorus regulating fiber elongation. In this study, we used the cotton ovule culture system in vitro to explore the effects of various phosphorus levels on fiber and ovule growth, and screened for phosphorus-responsive factor, as well as revealed its action mechanism. The results indicated that fiber elongation was more sensitive than ovule growth to phosphorus deficiency. GhPHR1, a homolog of phosphate starvation response 1 (PHR1) in upland cotton, was significantly upregulated in fibers and ovules under phosphorus-deficient conditions. GhPHR1 directly binds to the promoter of the glucosylceramide synthase gene in cotton (GhGCS1) and positively regulates its expression. Overexpressing GhGCS1 enhanced phosphorus uptake and transport in cotton, increased phosphorus content in fiber cells, and promoted fiber cell elongation. Conversely, downregulating GhGCS1 reduced phosphorus content in fiber cells and suppressed fiber elongation. These findings demonstrate the importance of the GhPHR1-GhGCS1 molecular module in regulating fiber cell elongation and elucidate the molecular mechanism by which phosphorus influences fiber elongation.
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(This article belongs to the Special Issue Lipid Action in Crop Development and Defense)
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Integrative Bioinformatic, Transcriptional, and Enzymatic Analysis Reveals Differential Regulation of Rhamnogalacturonan Lyase During Postharvest Ripening of Soursop (Annona muricata L.) Varieties
by
Emmanuel Axel Meza-Ortega, Avtar K. Handa, Martín Ernesto Tiznado-Hernández, Graciela G. López-Guzmán, Gabriela R. Peña-Sandoval, Verónica Alhelí Ochoa-Jiménez and Guillermo Berumen-Varela
Agronomy 2026, 16(3), 323; https://doi.org/10.3390/agronomy16030323 - 27 Jan 2026
Abstract
Soursop fruit (Annona muricata L.) exhibits a rapid loss of firmness during postharvest ripening, mainly attributed to pectin depolymerization and cell wall restructuring. Among the enzymes involved, rhamnogalacturonan lyase (RGL), belonging to the PF06045 protein family, contributes to the degradation of rhamnogalacturonan
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Soursop fruit (Annona muricata L.) exhibits a rapid loss of firmness during postharvest ripening, mainly attributed to pectin depolymerization and cell wall restructuring. Among the enzymes involved, rhamnogalacturonan lyase (RGL), belonging to the PF06045 protein family, contributes to the degradation of rhamnogalacturonan I (RG-I), a key structural component of pectin. However, the regulatory mechanisms and transcriptional dynamics of RGL genes in tropical fruits remain poorly characterized. This study aimed to evaluate RGL in three soursop varieties (GUANAY-1, GUANAY-2, and GUANAY-3) during postharvest ripening through integrative bioinformatic, transcriptional, and enzymatic analyses. Bioinformatic analysis identified five soursop genes containing the PF06045 domain, designated RGL1–RGL5, which were grouped into three phylogenetic clusters. Differential expression analysis revealed that RGL1, RGL2, and RGL3 were differentially expressed, while functional enrichment analysis indicated that these genes are mainly associated with lyase activity and cell wall polysaccharide disassembly. Quantitative polymerase chain reaction (qPCR) revealed variety-dependent transcriptional patterns. RGL2 showed expression peaks on day 5 in GUANAY-1 and GUANAY-3 and on day 7 in GUANAY-2, while RGL3 reached its maximum expression on day 5 in all varieties. Enzymatic activity also varied among varieties, showing concordance with RGL2 and RGL3 expression in GUANAY-1, a delayed maximum in GUANAY-2, and a progressive decline in GUANAY-3. Principal component analysis explained 87.2% of the total variation, with enzymatic activity contributing mainly to PC1 and RGL2 and RGL3 expression to PC2. Overall, these results demonstrate differential regulation of RGL among soursop varieties and confirm its central role in RG-I degradation during postharvest fruit softening.
Full article
(This article belongs to the Section Horticultural and Floricultural Crops)
Open AccessArticle
Mating Disruption as an Effective Method for Controlling Lymantria dispar (L.): Results of the First Investigation in Europe
by
Tanja Bohinc, Paraskevi Agrafioti, Christos G. Athanassiou, Sergeja Adamič Zamljen, Matej Vidrih, Antonela Frlan and Stanislav Trdan
Agronomy 2026, 16(3), 322; https://doi.org/10.3390/agronomy16030322 - 27 Jan 2026
Abstract
In a three-year study, we investigated the efficacy of mating disruption (MD) on the spongy moth, Lymantria dispar L. in a forest complex in Slovenia. We included two treatments in the experiment: a negative control and a MD-treated area, where we used an
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In a three-year study, we investigated the efficacy of mating disruption (MD) on the spongy moth, Lymantria dispar L. in a forest complex in Slovenia. We included two treatments in the experiment: a negative control and a MD-treated area, where we used an MD product formulated as a biodegradable gel (water based, biodegradable). We applied the gel to the trunks of the forest trees (33.3 g active ingredient/ha) once per season, specifically on 4th August 2022, 28th June 2023, and 24th June 2024. To evaluate the method’s performance, pheromone traps were utilized in both treatments. The data indicate consistent effectiveness throughout the three-year period, characterized by the minimal male captures observed in the MD treatment areas after the gel was applied. The first moths were captured in the traps at DD (Degree-Day) values ranging from 661.7 to 773.3 and continued to be captured up to DD values between 1576.1 and 1642.8. Following the application of the MD, the population in the MD treatment was reduced by 100% in the first year. In the second year, the reduction was 96.33%, while in the third year of the experiment, the number of captured moths in the MD treatment was 99.20% lower compared to the control. Considering the overall data, the method disrupted Lymantria dispar male orientation effectively. Moreover, we also feel that these results show the most promise for using this method in urban and suburban areas, where L. dispar larvae can cause allergies in humans and animals and where the use of insecticides is reduced.
Full article
(This article belongs to the Section Pest and Disease Management)
Open AccessArticle
Multi-Crop Yield Estimation and Spatial Analysis of Agro-Climatic Indices Based on High-Resolution Climate Simulations in Türkiye’s Lakes Region, a Typical Mediterranean Biogeography
by
Fuat Kaya, Sinan Demir, Mert Dedeoğlu, Levent Başayiğit, Yurdanur Ünal, Cemre Yürük Sonuç, Tuğba Doğan Güzel and Ece Gizem Çakmak
Agronomy 2026, 16(3), 321; https://doi.org/10.3390/agronomy16030321 - 27 Jan 2026
Abstract
Mediterranean biogeography is characterized as a global “hotspot” for climate change; understanding the impacts of these changes on local agricultural systems through high-resolution analyses has thus become a critical need. This study addresses this gap by evaluating the holistic effects of climate change
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Mediterranean biogeography is characterized as a global “hotspot” for climate change; understanding the impacts of these changes on local agricultural systems through high-resolution analyses has thus become a critical need. This study addresses this gap by evaluating the holistic effects of climate change on site-specific agriculture systems, focusing on the Eğirdir–Karacaören (EKB) and Beyşehir (BB) lake basins in the Lakes Region of Türkiye. This study employed machine learning modeling techniques to forecast changes in the yields of key crops, such as wheat, maize, apple, alfalfa, and sugar beet. Detailed spatial analyses of changes in agro-climatic conditions (heat stress, chilling requirement, frost days, and growing degree days for key crops) between the reference period (1995–2014) and two decadal periods projected for 2040–2049 and 2070–2079 were conducted under the Shared Socioeconomic Pathways (SSP3-7.0). Daily temperature, precipitation, relative humidity, and solar radiation data, derived from high-resolution climate simulations, were aggregated into annual summaries. These datasets were then spatially matched with district-level yield statistics obtained from the official data providers to construct crop-specific data matrices. For each crop, Random Forest (RF) regression models were fitted, and a Leave-One-Site-Out (LOSOCV) cross-validation method was used to evaluate model performance during the reference period. Yield prediction models were evaluated using the mean absolute error (MAE). The models achieved low MAE values for wheat (33.95 kg da−1 in EKB and 75.04 kg da−1 in BB), whereas the MAE values for maize and alfalfa were considerably higher, ranging from 658 to 986 kg da−1. Projections for future periods indicate declines in relative yield across both basins. For 2070–2079, wheat and maize yields are projected to decrease by 10–20%, accompanied by wide uncertainty intervals. Both basins are expected to experience a substantial increase in heat stress days (>35 °C), a reduction in frost days, and an overall acceleration of plant phenology. Results provided insights to inform region-specific, evidence-based adaptation options, such as selecting heat-tolerant varieties, optimizing planting calendars, and integrating precision agriculture practices to improve resource efficiency under changing climatic conditions. Overall, this study establishes a scientific basis for enhancing the resilience of agricultural systems to climate change in two lake basins within the Mediterranean biogeography.
Full article
(This article belongs to the Special Issue Agroclimatology and Crop Production: Adapting to Climate Change)
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Open AccessArticle
Effects of Nitrogen Management Strategies on Nitrogen Losses via Leaching and Runoff from Paddy Fields Under Rainfall-Adapted Irrigation
by
Shan Zhang, Yonggang Duan, Jianqiang Zhu, Weihan Wang and Dongliang Qi
Agronomy 2026, 16(3), 320; https://doi.org/10.3390/agronomy16030320 - 27 Jan 2026
Abstract
Rainfall-adapted irrigation (RAI), the application of controlled-release nitrogen fertilizer (CRNF), and deep placement of nitrogen fertilizer can contribute to the improvement of resource utilization efficiency. Nevertheless, the interactive effects of these factors on nitrogen loss via runoff and leaching from paddy fields remain
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Rainfall-adapted irrigation (RAI), the application of controlled-release nitrogen fertilizer (CRNF), and deep placement of nitrogen fertilizer can contribute to the improvement of resource utilization efficiency. Nevertheless, the interactive effects of these factors on nitrogen loss via runoff and leaching from paddy fields remain ambiguous. Consequently, a two-year field experiment was conducted to evaluate the interactive effects of four nitrogen management strategies on nitrogen losses through runoff and leaching from paddy fields and rice yield under RAI when compared to conventional flooding irrigation (CI). Compared to CI, RAI significantly reduced total nitrogen loss via runoff (−49.8%) and leaching (−35.9%) by lowering volume of runoff and leaching. Compared to conventional nitrogen application (surface application of common urea with 240 kg N ha−1), deep placement of CRNF with 192 kg N ha−1 decreased floodwater nitrogen concentration, reducing total nitrogen loss by 46.8% via runoff and 50.9% via leaching. Importantly, RAI combined with deep placement of CRNF with 192 kg N ha−1 minimized nitrogen losses through leaching and runoff from paddy fields and maximized grain yield (8251 kg ha−1) by improving nitrogen accumulation in rice. Collectively, RAI combined with deep-placed CRNF with an 80% nitrogen rate could reduce non-point source pollution from paddy fields.
Full article
(This article belongs to the Special Issue Agricultural Carbon Sequestration, Emission Reduction, and Efficiency Enhancement: Innovative Practices and Prospects)
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Open AccessArticle
Spring- and Summer Heat Waves Caused Opposite Effects on Soil Respiration in a Eurasian Meadow Steppe
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Yang Shao, Qi Tong, Tsegaye Gemechu Legesse, Changliang Shao and Xiaoguang Zhang
Agronomy 2026, 16(3), 319; https://doi.org/10.3390/agronomy16030319 - 27 Jan 2026
Abstract
Heat waves (HWs), characterized by periods of unusually high temperature, would inevitably affect the soil microenvironment and then soil respiration (Rs), which is considered to be the most active part of the global carbon cycle. An in situ spring and summer HWs simulation
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Heat waves (HWs), characterized by periods of unusually high temperature, would inevitably affect the soil microenvironment and then soil respiration (Rs), which is considered to be the most active part of the global carbon cycle. An in situ spring and summer HWs simulation experiment combined with a locally common human disturbance (mowing) was conducted to separate Rs into autotrophic respiration (Ra) and heterotrophic respiration (Rh) on a natural Eurasian meadow steppe in 2018 and 2019. HWs significantly affected grassland Rs, Rh and Ra (p < 0.01) and also interacted with mowing, but the effect of spring HW and summer HW were different. During the summer HWs, daily Rs of the non-mowed plots increased by 1.07 μmol m−2 s−1 (11.71%) and increased in the mowed plots by 2.15 μmol m−2 s−1 (23.81%). During the spring HWs, daily Rs of the non-mowed plots decreased by 0.13 μmol m−2 s−1 (2.36%) and decreased by 0.52 μmol m−2 s−1 (9.02%) in the mowed plots. Rs, Rh and Ra were inhibited by spring HWs, but promoted by summer HWs. Our results indicated that the occurring time change in HWs would cause widely divergent influences on the ecosystem, and mowing would decrease the anti-interference ability of the ecosystem, which acted as an enhancement on both the positive and negative effects of HWs. These findings have important implications for accurate model prediction and carbon budget assessment.
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(This article belongs to the Special Issue Multifunctionality of Grassland Soils: Opportunities and Challenges)
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Open AccessArticle
Impact of a Combined Remediation Strategy Using Complex Microbial Agents and Corn Straw on Saline–Alkali Soil
by
Yan Wang, Wanying Liu, Hangzhe Fan, Ying Zhou, Zhanyu Chen, Fengjie Sun and Xiyan Cui
Agronomy 2026, 16(3), 318; https://doi.org/10.3390/agronomy16030318 - 27 Jan 2026
Abstract
Identifying plant-growth-promoting rhizobacteria tolerant to saline–alkali conditions is critical for developing effective microbial agents and multi-strategy approaches to remediate saline–alkali soil. Two salt–alkali-tolerant bacterial strains—phosphorus-solubilizing Bacillus pumilus JL-C and cellulose-decomposing B. halotolerans XW-3—were isolated from saline–alkali soil, with both exhibiting multiple plant-growth-promoting properties,
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Identifying plant-growth-promoting rhizobacteria tolerant to saline–alkali conditions is critical for developing effective microbial agents and multi-strategy approaches to remediate saline–alkali soil. Two salt–alkali-tolerant bacterial strains—phosphorus-solubilizing Bacillus pumilus JL-C and cellulose-decomposing B. halotolerans XW-3—were isolated from saline–alkali soil, with both exhibiting multiple plant-growth-promoting properties, including nitrogen fixation and the generation of indole-3-acetic acid, siderophores, and 1-aminocyclopropane-1-carboxylate deaminase. Alfalfa pot experiments were conducted under four treatments: a control, the strain JL-C treatment, the strain XW-3 treatment, and a co-inoculation treatment (JL-C/XW-3), all mixed with corn straw and applied to the saline–alkali soil. The results demonstrated that the co-inoculation treatment yielded the most significant growth-promoting effects on alfalfa, showing enhanced antioxidant enzyme activities; increased contents of proline, soluble sugar, and protein; reduced malondialdehyde content; lowered pH and electrical conductivity; elevated activities of key enzymes; and increased levels of available nitrogen, phosphorus, potassium, and organic matter content in the soil. The pot experiments were confirmed by field experiments. The results of 16S rRNA high-throughput sequencing revealed changes in the bacterial community composition in the alfalfa rhizosphere, showing shifts in the relative abundance of several bacterial taxa often reported as plant-associated or potentially beneficial. This study establishes a combined remediation strategy for saline–alkali soil utilizing complex microbial agents and corn straw.
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(This article belongs to the Special Issue Plant Stress Tolerance: From Genetic Mechanism to Cultivation Methods)
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Open AccessArticle
γ-PGA Enhances Zea mays L. Seedling Growth by Fertile Rhizosphere Establishment and Osmotic Modulation in Saline Soil
by
Xin Li, Weiming Shi, Herbert J. Kronzucker, Xiaodong Ding and Yilin Li
Agronomy 2026, 16(3), 317; https://doi.org/10.3390/agronomy16030317 - 27 Jan 2026
Abstract
Soil salinization is a major threat to agricultural sustainability. Poly-gamma-glutamic acid (γ-PGA), a biopolymer produced by microbial fermentation, has received attention as a biostimulant due to its positive effects on crop performance. However, the function of γ-PGA in crop salt stress tolerance and
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Soil salinization is a major threat to agricultural sustainability. Poly-gamma-glutamic acid (γ-PGA), a biopolymer produced by microbial fermentation, has received attention as a biostimulant due to its positive effects on crop performance. However, the function of γ-PGA in crop salt stress tolerance and its effect on the rhizosphere are unclear. This study explores the effects of γ-PGA application on rhizosphere soil nutrients and the soil–physical environment and examines the salt tolerance response of maize seedlings grown in saline–alkali soil under such an application regime. The results show a significant promotion of maize seedling growth and of nutrient accumulation with γ-PGA application under salt stress; plant dry weight, stem diameter, and plant height increased 121%, 39.5%, 18.4%, respectively, and shoot accumulation of nitrogen, phosphorus, potassium, and carbon increased by 1.38, 2.11, 1.50, and 1.36 times, respectively, under an optimal-concentration γ-PGA treatment (5.34 mg kg−1 (12 kg ha−1)) compared with the control. γ-PGA treatment significantly decreased rhizospheric pH and soil electrical conductivity and significantly increased nutrient availability in the rhizosphere, especially available nitrogen (AN) and available potassium (AK). Compared with the control, AN, available phosphorus (AP), and AK increased by 13.9%, 7.70%, and 17.7%, respectively, under an optimal concentration treatment with γ-PGA. γ-PGA application also significantly increased the activities of urease, acid phosphatase, alkaline phosphatase, dehydrogenase, and cellulose in rhizosphere soil by 35.5–39.3%, 35.4–39.3%, 5.59–8.85%, 18.9–19.8%, and 19.2–47.0%, respectively. γ-PGA application significantly decreased Na+ concentration and increased K+ concentration in shoots, resulting in a lowering of the Na+/K+ ratio by 30.5% and an increase in soluble sugar and soluble protein contents. Therefore, rhizosphere application of water-soluble and biodegradable γ-PGA facilitates the creation of an optimized rhizospheric environment for maize seedling and overcomes osmotic and ionic stresses, offering possibilities for future use in drip-irrigation systems in the cultivation of crops on saline-alkali land.
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(This article belongs to the Section Soil and Plant Nutrition)
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Open AccessArticle
Physiological Mechanisms of Nano-CeO2 and Nano-TiO2 as Seed-Priming Agents in Enhancing Drought Tolerance of Barley Seedlings
by
Xiang Ye, Ruijiao Song and Juncang Qi
Agronomy 2026, 16(3), 316; https://doi.org/10.3390/agronomy16030316 - 27 Jan 2026
Abstract
Nanotechnology holds great promise for alleviating drought stress in crops. This study elucidates and compares the distinct physiological mechanisms by which two nanomaterials, nano-cerium oxide (CeO2) and nano-titanium dioxide (TiO2), function as seed-priming agents to enhance drought tolerance in
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Nanotechnology holds great promise for alleviating drought stress in crops. This study elucidates and compares the distinct physiological mechanisms by which two nanomaterials, nano-cerium oxide (CeO2) and nano-titanium dioxide (TiO2), function as seed-priming agents to enhance drought tolerance in barley. A comprehensive analysis encompassing germination performance, hormonal dynamics, starch metabolism, osmotic adjustment, photosynthetic pigments, and the antioxidant system revealed that each nanomaterial operates through a unique pathway. Specifically, priming with 150 mg·L−1 nano-CeO2 (CP-150) primarily promoted root development and stress resilience. This effect was achieved by persistently reducing abscisic acid (ABA) levels, elevating gibberellin (GA3), enhancing amylase activity to mobilize seed reserves, and increasing soluble protein accumulation in roots. In contrast, priming with 500 mg·L−1 nano-TiO2 (TP-500) was more effective in enhancing shoot physiology and adaptive capacity by rapidly inducing auxin (IAA), robustly stimulating the antioxidant enzyme system, and increasing photosynthetic pigment content. The temporally and spatially complementary actions of these nanomaterials, with nano-CeO2 fostering root-based resilience and nano-TiO2 boosting shoot-level functions, synergistically support seed germination and seedling establishment under drought conditions. This study provides a mechanistic foundation for designing targeted nano-priming strategies to improve crop drought resistance.
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(This article belongs to the Section Plant-Crop Biology and Biochemistry)
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Open AccessArticle
Simulating Daily Evapotranspiration of Summer Soybean in the North China Plain Using Four Machine Learning Models
by
Liyuan Han, Fukui Gao, Shenghua Dong, Yinping Song, Hao Liu and Ni Song
Agronomy 2026, 16(3), 315; https://doi.org/10.3390/agronomy16030315 - 26 Jan 2026
Abstract
Accurate estimation of crop evapotranspiration (ET) is essential for achieving efficient agricultural water use in the North China Plain. Although machine learning techniques have demonstrated considerable potential for ET simulation, a systematic evaluation of model-architecture suitability and hyperparameter optimization strategies specifically for summer
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Accurate estimation of crop evapotranspiration (ET) is essential for achieving efficient agricultural water use in the North China Plain. Although machine learning techniques have demonstrated considerable potential for ET simulation, a systematic evaluation of model-architecture suitability and hyperparameter optimization strategies specifically for summer soybean ET estimation in this region is still lacking. To address this gap, we systematically compared several machine learning architectures and their hyperparameter optimization schemes to develop a high-accuracy daily ET model for summer soybean in the North China Plain. Synchronous observations from a large-scale weighing lysimeter and an automatic weather station were first used to characterize the day-to-day dynamics of soybean ET and to identify the key driving variables. Four algorithms—support vector regression (SVR), Random Forest (RF), extreme gradient boosting (XGBoost), and a stacking ensemble—were then trained for ET simulation, while Particle Swarm Optimization (PSO), Genetic Algorithms (GAs), and Randomized Grid Search (RGS) were employed for hyperparameter tuning. Results show that solar radiation (RS), maximum air temperature (Tmax), and leaf area index (LAI) are the dominant drivers of ET. The Stacking-PSO-F3 combination, forced with Rs, Tmax, LAI, maximum relative humidity (RHmax), and minimum relative humidity (RHmin), achieved the highest accuracy, yielding R2 values of 0.948 on the test set and 0.900 in interannual validation, thereby demonstrating excellent precision, stability, and generalizability. The proposed model provides a robust technical tool for precision irrigation and regional water resource optimization.
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(This article belongs to the Special Issue Water and Fertilizer Regulation Theory and Technology in Crops)
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Open AccessArticle
Exopolysaccharides from Rhizobium tropici Promote the Formation and Stability of Soil Aggregates: Insights from Soil Incubation
by
Xinyun Xie, Steve L. Larson, John H. Ballard, Qinku Zhang, Huimin Zhang and Fengxiang X. Han
Agronomy 2026, 16(3), 314; https://doi.org/10.3390/agronomy16030314 - 26 Jan 2026
Abstract
This study aimed to investigate the effects of r-type exopolysaccharides (EPSs) produced by the symbiotic bacteria Rhizobium tropici on soil aggregate formation and stability in loess sandy soil and to elucidate the independent and synergistic roles of EPSs in soil structure development. Experiments
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This study aimed to investigate the effects of r-type exopolysaccharides (EPSs) produced by the symbiotic bacteria Rhizobium tropici on soil aggregate formation and stability in loess sandy soil and to elucidate the independent and synergistic roles of EPSs in soil structure development. Experiments were conducted under both sterile and non-sterile soil conditions to distinguish the direct effects of EPSs from their interactions with indigenous soil microorganisms. Soil samples were treated with varying concentrations of EPSs and compared with untreated controls after undergoing a simulated weathering process. Aggregates were classified into four size fractions: <53 μm, 53–250 μm, 250–2000 μm, and 2000–5000 μm. Aggregate distribution and soil stability indicators, including the percentage of water-stable aggregates larger than 0.25 mm, mean weight diameter (MWD), geometric mean diameter (GMD), and fractal dimension (D), were analyzed. EPS application significantly promoted the formation of larger soil aggregates (>53 μm), with approximately 80% increases in the number of aggregates in the 53–250 μm and 2000–5000 μm fractions compared to the control. Soil stability was markedly enhanced, with a 41.7% increase in >0.25 mm water-stable aggregates, a 36.4% rise in MWD, and a 0.3% increase in GMD. The D decreased by 1.2% under 0.2‰ EPS treatment, indicating a more ordered soil structure. EPSs play a key role in promoting soil aggregate formation and enhancing soil stability. While microbial presence has a limited short-term effect on aggregation, the synergistic interaction between microorganisms and EPSs over time significantly enhances soil stability. This study provides new insights into understanding the independent and synergistic roles of EPSs in soil structure formation.
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(This article belongs to the Section Soil and Plant Nutrition)
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Open AccessArticle
Preliminary Biochemical, Physiological, and Yield Responses of Sweet Corn to Organic and Chemical Fertilization Across Genotypes
by
Petru-Liviu Nicorici, Saad Masood Abdelnaby Elhawary, Jose Luis Ordóñez-Díaz, Mónica Sanchez-Parra, Georgiana Rădeanu, Gianluca Caruso, Jose Manuel Moreno-Rojas, Oana-Raluca Rusu, Mihaela Roșca and Vasile Stoleru
Agronomy 2026, 16(3), 313; https://doi.org/10.3390/agronomy16030313 - 26 Jan 2026
Abstract
Sweet corn (Zea mays var. saccharata) is a widely cultivated crop valued for its sweet flavor and high nutritional content. Over the past decade, the area devoted to sweet corn grain production has increased substantially, driven by both its nutritional qualities
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Sweet corn (Zea mays var. saccharata) is a widely cultivated crop valued for its sweet flavor and high nutritional content. Over the past decade, the area devoted to sweet corn grain production has increased substantially, driven by both its nutritional qualities and its economic value. In this context, we aimed to evaluate the impact of three genotypes (Royalty F1, Hardy F1 and Deliciosul de Bacau,) under two fertilization types (chemical and organic) compared with a control version on yield, biometrical, biochemical, and quality parameters. This research was carried out between 2022 and 2023 at an experimental station situated in the North-East region of Romania. The results revealed significant influences of cultivar, fertilization method, and the interaction between these two experimental factors on most of the analyzed indicators. Regardless of the fertilization type, the genotype Hardy F1 showed higher levels of photosynthetic activity, polyphenols (2.22 mg/g d.w.) and sucrose (6.7 g/100 g d.w.), leading to greater yield (13,995 kg/ha) than that of Deliciosul de Bacau and Royalty F1. Research on fertilization has shown that sweet corn grains under an organic method have higher levels of lycopene, chlorophyll a, chlorophyll b, total phenolic content (TPC), and fructose. In contrast, chemical fertilization more effectively supported growth, photosynthetic activity, yield, and the content of antioxidants and tannins. Regarding the combined influence of these factors, most of the nutritional characteristics of Royalty F1 were enhanced by organic fertilization, whereas those of the Hardy F1 genotype were improved by chemical fertilization. These findings provide practical guidance for selecting appropriate genotype–fertilization combinations to optimize the yield and nutritional quality of sweet corn and highlight key priorities for further research on sustainable fertilization strategies under climate change conditions.
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(This article belongs to the Section Soil and Plant Nutrition)
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