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Agronomy, Volume 16, Issue 2 (January-2 2026) – 17 articles

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17 pages, 1684 KB  
Article
The Effect of Light Intensity on the Photosynthetic Parameters of Tomato Rootstocks
by Kristina Laužikė, Tanzila Rafique, Vitalis Laužikas and Astrit Balliu
Agronomy 2026, 16(2), 154; https://doi.org/10.3390/agronomy16020154 - 7 Jan 2026
Abstract
The quality and yield of grafted tomato seedlings are significantly influenced by the selection of high-quality and robust rootstocks. The effectiveness of these rootstocks is dependent on various environmental factors and genetic traits. One of the most critical factors in cultivation is light, [...] Read more.
The quality and yield of grafted tomato seedlings are significantly influenced by the selection of high-quality and robust rootstocks. The effectiveness of these rootstocks is dependent on various environmental factors and genetic traits. One of the most critical factors in cultivation is light, as its intensity plays a vital role in seedling growth, overall development, metabolic processes, the efficiency of the photosynthetic system, and other essential plant functions. The aim of this study was to investigate the changes in the photosynthetic system activity and the growth of tomato rootstocks depending on the light intensity. The study was conducted at the Institute of Horticulture, Lithuanian Center for Agricultural and Forestry Sciences, focusing on four tomato rootstock varieties grown in a controlled environment. The plants were grown at a temperature of +23/19 °C and a relative humidity of 55–60%, under different levels of illumination (high-pressure sodium lamps), PPFD: 150, 250 and 350 ± 10 µmol m−2 s−1. The results indicated that optimal growth and biomass accumulation occurred at around 250 µmol m−2 s−1, with the most significant growth observed in the rootstocks ‘Auroch’ and ‘Goldrake’. Higher light intensities, specifically at 350 µmol m−2 s−1, did not consistently enhance growth and could even lead to a reduction in leaf area and overall growth in some cultivars such as ‘Auroch’ and ‘TOR23901’. Although photosynthetic parameters improved with increased light intensity up to 350 µmol m−2 s−1, these enhancements did not translate into additional growth benefits. Full article
(This article belongs to the Section Horticultural and Floricultural Crops)
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19 pages, 976 KB  
Article
Production and Quality of ‘Smooth Cayenne’ Pineapple as Affected by Nitrogen Fertilization and Types of Plantlets in the Northern Region of Rio de Janeiro State, Brazil
by Denilson Coelho De Faria, Rômulo André Beltrame, Jéssica Morais Cunha, Stella Arndt, Simone de Paiva Caetano Bucker Moraes, Paulo Cesar Dos Santos, Marta Simone Mendonça Freitas, Moises Zucoloto, Silvio de Jesus Freitas, Willian Bucker Moraes, Marlene Evangelista Vieira and Almy Junior Cordeiro de Carvalho
Agronomy 2026, 16(2), 153; https://doi.org/10.3390/agronomy16020153 - 7 Jan 2026
Abstract
This study evaluated the effects of nitrogen fertilization and different types of planting material on the yield and fruit quality of pineapple (Ananas comosus var. comosus) cv. Smooth Cayenne under the edaphoclimatic conditions of the Northern region of Rio de Janeiro [...] Read more.
This study evaluated the effects of nitrogen fertilization and different types of planting material on the yield and fruit quality of pineapple (Ananas comosus var. comosus) cv. Smooth Cayenne under the edaphoclimatic conditions of the Northern region of Rio de Janeiro State, Brazil. The experiment was conducted in a randomized block design, arranged in a factorial scheme with four nitrogen rates, six types of planting material, and two harvest seasons (winter and summer). Based on the results, it can be inferred that slips provided higher yields and heavier fruits, whereas plants derived from crowns and suckers showed lower productivity. Increasing nitrogen rates promoted greater fruit mass and length, higher pulp percentage, and increased production of vegetative propagules. Fruits harvested in the summer showed higher soluble solids content (15.5 °Brix), greater pulp and juice percentages, and lower titratable acidity, which are desirable characteristics for fresh consumption. Despite the seasonal differences, fruit mass ranging from 1.5 to 2.0 kg met commercial standards for both processing and domestic markets. The soluble solids/titratable acidity ratio (15.8) was below the ideal range for fresh consumption. The combination of appropriate planting material and nitrogen fertilization contributes to higher production efficiency, cost reduction, and improved fruit quality. Full article
(This article belongs to the Section Horticultural and Floricultural Crops)
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22 pages, 5980 KB  
Article
Design and Experiment of a Posture Adjustment and Differential Steering Device for Orderly Harvesting of Hydroponic Leafy Vegetables
by Yidong Ma, Xianlong Wang, Chao Zhang, Huankun Wang, Hao Zhou and Yizhou Wang
Agronomy 2026, 16(2), 152; https://doi.org/10.3390/agronomy16020152 - 7 Jan 2026
Abstract
Hydroponic leafy vegetables have high yields, but their mechanized harvesting level is low. To improve the quality of orderly harvesting of hydroponic leafy vegetables, an ordered harvesting device with functions such as root flicking, posture adjustment and differential steering has been designed. A [...] Read more.
Hydroponic leafy vegetables have high yields, but their mechanized harvesting level is low. To improve the quality of orderly harvesting of hydroponic leafy vegetables, an ordered harvesting device with functions such as root flicking, posture adjustment and differential steering has been designed. A root-flicking method using rotating brushes was proposed, and experiments analyzed the effect of brush rotation direction. A posture adjustment method using a twisting conveyor belt was proposed, and experiments analyzed the impact of different twist angles on the stability of the adjustment process and the posture angle. A differential steering method using two pairs of conveyor belts with differential speeds was proposed, and experiments analyzed the impact of different steering belt speeds on steering stability and actual inclination angle. The root-flicking experiment results for hydroponic leafy vegetables showed that the counterclockwise followed by clockwise brush rotation combination performed better, with a root removal rate of 74.9%. The posture adjustment experiments on hydroponic leafy vegetables showed that the optimal twist angle for clamped and twisted conveyance was 35°, and the Mean Absolute Error (MAE) between the twist angle and hydroponic leafy vegetables posture angle was 0.38°. The differential steering experiment results indicated that the preferable belt speed difference for the directional conveyance of hydroponic leafy vegetables was 75 mm/s, and the MAE between the theoretical and actual inclination angles was 0.96°. Validation experiments based on posture adjustment and differential steering tests demonstrated a continuous harvesting success rate of 87.5%. This study provides valuable references for the design and development of orderly harvesting equipment for hydroponic leafy vegetables. Full article
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26 pages, 7761 KB  
Article
Design and Experimental Validation of a Weeding Device Integrating Weed Stem Damage and Targeted Herbicide Application
by He Li, Chenxu Li, Jiajun Chai, Lele Wang, Zishang Yang, Yechao Yuan and Shangshang Cheng
Agronomy 2026, 16(2), 151; https://doi.org/10.3390/agronomy16020151 - 7 Jan 2026
Abstract
In view of the problems of high weed regeneration rate in traditional mechanical weeding and environmental risk in chemical weeding, a synergetic strategy of “mechanical damage + wound spraying mechanism” was proposed, and an intelligent weeding device combining synchronous cutting and spraying was [...] Read more.
In view of the problems of high weed regeneration rate in traditional mechanical weeding and environmental risk in chemical weeding, a synergetic strategy of “mechanical damage + wound spraying mechanism” was proposed, and an intelligent weeding device combining synchronous cutting and spraying was designed to enhance the efficacy of herbicides and reduce their use. Focusing on the physical characteristics of weeds and the cutting mechanism, the analysis of the weed-cutting system and the force characteristics of the cutting tool were conducted. Key factors affecting cutting quality were identified, and their respective value ranges were determined. A targeted spraying system was developed, featuring a conical nozzle, DC diaphragm pump, and electromagnetic control valve. The Delta parallel manipulator, equipped with both the cutting tool and nozzle, was designed, and a kinematic model was established for both its forward and inverse movements. Genetic algorithms were applied to optimize structural parameters, aiming to ensure effective coverage of typical weed distribution areas within the working space. A simulated environment measurement was built to verify the motion accuracy of the manipulator. Field experiments demonstrated that the equipment achieved an 81.5% wound weeding rate on malignant weeds in the seedling stage at an operating speed of 0.6 m/s, with a seedling injury rate below 5%. These results validate the high efficiency of the integrated mechanical cutting and targeted spraying system, offering a reliable technical solution for green and intelligent weed control in agriculture. This study fills the blank of only focusing on recognition accuracy or weeding rate under a single weeding method, but lacks a cooperative weeding operation. Full article
(This article belongs to the Special Issue Recent Advances in Legume Crop Protection—2nd Edition)
29 pages, 8660 KB  
Article
YOLOP-Tomato: An End-to-End Model for Tomato Detection and Main Stem–Lateral Branch Segmentation
by Didun Kou, Jiandong Fang and Yudong Zhao
Agronomy 2026, 16(2), 150; https://doi.org/10.3390/agronomy16020150 - 7 Jan 2026
Abstract
Tomatoes are a rich source of nutrients that are essential for human health. However, in greenhouse environments, the complex growth patterns of tomatoes and stems often result in mutual obstruction and overlapping, posing significant challenges for accurate ripeness detection and stem segmentation. Furthermore, [...] Read more.
Tomatoes are a rich source of nutrients that are essential for human health. However, in greenhouse environments, the complex growth patterns of tomatoes and stems often result in mutual obstruction and overlapping, posing significant challenges for accurate ripeness detection and stem segmentation. Furthermore, the current detection and segmentation tasks are typically executed in isolation, resulting in suboptimal inference efficiency and substantial computational expenses. To address these issues, this study proposes the YOLOP-Tomato (YOLO-Based Panoptic Perception for Tomato) based on YOLOv8n, enabling simultaneous tomato detection and stem and branch segmentation. Two RSU (ReSidual U-blocks) modules establish feature connection mechanisms between the backbone and head. SPPCTX (SPP Context) was developed at the neck of the model to perform multi-scale contextual feature fusion and enhancement. The SCDown (Spatial-Channel Decoupled downsampling) is employed to lightweight the backbone’s terminal structure. The experimental results demonstrate that YOLOP-Tomato achieves precision, recall, mAP50, and mAP50–95 of 94.9%, 85.0%, 93.6%, and 60.9% for detection, and mIoU of 77.6% for segmentation. These results represent improvements of 2.5%, 0.1%, 0.5%, 1.1%, and 1.4%, over YOLOv8n. The trained model was deployed on the NVIDIA Jetson AGX Orin platform, an efficient inference speed of 5.67 milliseconds was achieved. The proposed YOLOP-Tomato provides reliable and efficient technical support for tomato detection, ripeness identification, stem and branch segmentation in greenhouses, and holds great significance for improving the level of intelligent agricultural production. Full article
(This article belongs to the Section Precision and Digital Agriculture)
15 pages, 3121 KB  
Article
Genome-Wide Identification of the FKBP Gene Family in Rice and Its Potential Roles in Blast Resistance
by Jiazong Liu, Xin Wang, Wendi Li, Qiyue Xu, Xinhua Ding and Ziyi Yin
Agronomy 2026, 16(2), 149; https://doi.org/10.3390/agronomy16020149 - 7 Jan 2026
Abstract
Rice (Oryza sativa L.) is a major global staple crop, yet its productivity is severely constrained by rice blast disease caused by Magnaporthe oryzae. FK506-binding proteins (FKBPs) are peptidyl-prolyl cis-trans isomerases involved in protein folding, stress response, and signaling regulation, but [...] Read more.
Rice (Oryza sativa L.) is a major global staple crop, yet its productivity is severely constrained by rice blast disease caused by Magnaporthe oryzae. FK506-binding proteins (FKBPs) are peptidyl-prolyl cis-trans isomerases involved in protein folding, stress response, and signaling regulation, but their roles in rice blast resistance remain unclear. In this study, we performed a comprehensive identification and characterization of FKBP gene family members in two rice cultivars, Nipponbare (NIP) and Zhonghua 11 (ZH11), based on the latest T2T (telomere-to-telomere) genome assembly of ZH11 and the reference genome of NIP. A total of 24 and 29 FKBP genes were detected in NIP and ZH11, respectively, indicating a slight expansion in ZH11. Phylogenetic and collinearity analyses revealed strong conservation of FKBP family members between the two cultivars, while several ZH11-specific genes likely resulted from recent duplication events. Promoter analysis showed that FKBP genes are enriched in stress and hormone responsive cis-elements, particularly those related to ABA, MeJA, and SA signaling. Transcriptomic and RT-qPCR analyses demonstrated that multiple FKBP genes were significantly regulated during M. oryzae infection, suggesting their potential involvement in defense signaling pathways. This study provides a comprehensive overview of FKBP gene family evolution and expression in rice, identifies candidate genes potentially associated with blast resistance, and offers valuable insights for molecular breeding aimed at improving disease resistance in rice. Full article
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19 pages, 305 KB  
Review
Research Progress on Remote Sensing Monitoring of Diseases and Insect Pests of Major Grain Crops
by Yingnan Gu, Xin Liu, Yang Lu, Youzhi Zhang, Jingyuan Wang, Qinghui Dong, Nan Huang, Bin Fu, Ye Yang, Siyu Wang and Qing Liu
Agronomy 2026, 16(2), 148; https://doi.org/10.3390/agronomy16020148 - 7 Jan 2026
Abstract
As an important factor affecting the yield and quality of grain crops and threatening grain security, traditional pest and disease monitoring can no longer meet the needs of accurate and efficient agricultural production. The development of remote sensing technology provides a new monitoring [...] Read more.
As an important factor affecting the yield and quality of grain crops and threatening grain security, traditional pest and disease monitoring can no longer meet the needs of accurate and efficient agricultural production. The development of remote sensing technology provides a new monitoring method, which is specific, accurate and efficient, and provides real-time, rapid and non-destructive spectral data information for the identification of the occurrence and severity of pests and diseases and can realize large-scale monitoring of grain crop pests and diseases. In this paper, through the statistics and analysis of the published literature on remote sensing monitoring of grain crop diseases and pests, the research hotspots and directions of remote sensing monitoring of grain crop diseases and pests are clarified. Based on this foundation, this paper systematically elaborates the mechanism underlying remote sensing-based monitoring and prediction of diseases and insect pests in grain crops. It reviews various remote sensing monitoring approaches for such diseases and pests by leveraging multi-source remote sensing data. Furthermore, it summarizes methodologies for constructing monitoring and prediction models for grain crop diseases and insect pests. Finally, the paper discusses current challenges and future development trends in this field. Full article
29 pages, 1830 KB  
Article
Effects of Cultivation Systems and Mulching on Yield and Fruit Quality of Highbush Blueberry (Vaccinium corymbosum L.)
by Ireneusz Ochmian, Marcelina Krupa-Małkiewicz and Sabina Lachowicz-Wiśniewska
Agronomy 2026, 16(2), 147; https://doi.org/10.3390/agronomy16020147 - 7 Jan 2026
Abstract
Highbush blueberry (Vaccinium corymbosum L.) is a major berry crop valued for its nutritional and bioactive properties. This study evaluated the influence of cultivation systems and genotypes on fruit quality and antioxidant potential in a two-factorial field experiment (four cultivars × four [...] Read more.
Highbush blueberry (Vaccinium corymbosum L.) is a major berry crop valued for its nutritional and bioactive properties. This study evaluated the influence of cultivation systems and genotypes on fruit quality and antioxidant potential in a two-factorial field experiment (four cultivars × four systems). ‘Sunrise’, ‘Draper’, ‘Ozark Blue’, and ‘Aurora’ were assessed for physicochemical traits, total polyphenols (TPC), vitamin C, nitrates, and antioxidant capacity (2,2′-azinobis(3-ethylbenzothiazoline-6-sulfonic acid) radical cation decolourisation (ABTS•+), 2,2-diphenyl-1-picrylhydrazyl (DPPH•), and ferric-reducing antioxidant power (FRAP))). The maximum fruit weight was recorded in cv. Aurora grew under the raised-bed with agrotextile system (353 g per 100 berries), while Draper produced the smallest fruits (227 g). Soluble solids ranged from 12.2 to 16.9 °Brix, acidity from 0.53 to 0.97 g/100 g FW, and TPC from 318 to 544 mg/100 g FW. Agrotextile treatments stabilised microclimate and reduced stress, resulting in lower ABTS (17.9 vs. 24.0), DPPH (19.8 vs. 22.3), and FRAP (11.6 vs. 13.9 mmol TE/100 g FW) values, indicating stronger radical scavenging activity. Ozark showed the highest TPC, vitamin C (123 mg/1000 g FW), and firmness (420 g/mm), whereas Aurora and Sunrise had brighter fruits (L = 37.6–36.1). Nitrate concentrations remained low (42–68 mg/1000 g FW). Genotype × system interactions significantly influenced secondary metabolite synthesis and stress adaptation. Raised beds with agrotextile improved fresh-market quality, while traditional systems favoured storage stability, providing practical, sustainable cultivation guidelines. Full article
25 pages, 8372 KB  
Article
CAFE-DETR: A Sesame Plant and Weed Classification and Detection Algorithm Based on Context-Aware Feature Enhancement
by Pengyu Hou, Linjing Wei, Haodong Liu and Tianxiang Zhou
Agronomy 2026, 16(2), 146; https://doi.org/10.3390/agronomy16020146 - 7 Jan 2026
Abstract
Weed competition represents a primary constraint in sesame production, causing substantial yield losses typically ranging from 18 to 68% under inadequate control measures. Precise crop–weed discrimination remains challenging due to morphological similarities, complex field conditions, and vegetation overlapping. To address these issues, we [...] Read more.
Weed competition represents a primary constraint in sesame production, causing substantial yield losses typically ranging from 18 to 68% under inadequate control measures. Precise crop–weed discrimination remains challenging due to morphological similarities, complex field conditions, and vegetation overlapping. To address these issues, we developed Context-Aware Feature-Enhanced Detection Transformer (CAFE-DETR), an enhanced Real-Time Detection Transformer (RT-DETR) architecture optimized for sesame–weed identification. First, the C2f with a Unified Attention-Gating (C2f-UAG) module integrates unified head attention with convolutional gating mechanisms to enhance morphological discrimination capabilities. Second, the Hierarchical Context-Adaptive Fusion Network (HCAF-Net) incorporates hierarchical context extraction and spatial–channel enhancement to achieve multi-scale feature representation. Furthermore, the Polarized Linear Spatial Multi-scale Fusion Network (PLSM-Encoder) reduces computational complexity from O(N2) to O(N) through polarized linear attention while maintaining global semantic modeling. Additionally, the Focaler-MPDIoU loss function improves localization accuracy through point distance constraints and adaptive sample focusing. Experimental results on the sesame–weed dataset demonstrate that CAFE-DETR achieves 90.0% precision, 89.5% mAP50, and 59.5% mAP50–95, representing improvements of 13.07%, 4.92%, and 2.06% above the baseline RT-DETR, respectively, while reducing computational cost by 23.73% (43.4 GFLOPs) and parameter count by 10.55% (17.8 M). These results suggest that CAFE-DETR is a viable alternative for implementation in intelligent spraying systems and precision agriculture platforms. Notably, this study lacks external validation, cross-dataset testing, and field trials, which limits the generalizability of the model to diverse real-world agricultural scenarios. Full article
(This article belongs to the Collection AI, Sensors and Robotics for Smart Agriculture)
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26 pages, 2377 KB  
Article
Elemental Sulfur and Salicylic Acid Influence Macronutrient Limitation Hierarchies in Drought-Stressed Maize
by Grzegorz Kulczycki, Elżbieta Sacała, Justyna Załuska and Cezary Kabała
Agronomy 2026, 16(2), 145; https://doi.org/10.3390/agronomy16020145 - 6 Jan 2026
Abstract
Drought can alter plant nutrient constraints, yet it remains uncertain whether macronutrient limitation hierarchies primarily reflect intrinsic responses or can be reshaped by targeted treatments. In a pot experiment with maize (Zea mays L.), we tested elemental sulfur (ES) and salicylic acid [...] Read more.
Drought can alter plant nutrient constraints, yet it remains uncertain whether macronutrient limitation hierarchies primarily reflect intrinsic responses or can be reshaped by targeted treatments. In a pot experiment with maize (Zea mays L.), we tested elemental sulfur (ES) and salicylic acid (SA) applied either as foliar sprays or soil amendments under two soil water regimes (30% vs. 60% field water capacity, FWC). Six treatments were evaluated (control, ES-foliar, SA-foliar, SA-soil, ES-soil, and ES + SA-soil; n = 72). Regression tree analysis of data indicated sulfur-potassium co-dominance under drought (24.6% importance each; R2 = 0.914), while untreated controls showed nitrogen dominance (27.1%), confirming the S-K pattern is treatment-mediated. Under optimal irrigation (FWC 60%), nutrient importance was balanced across treatments (N, P, K, S; ~22–23%; R2 = 0.991). ES + SA applied to soil produced the greatest drought tolerance, increasing dry biomass by 56% at FWC 30%, whereas ES-soil maintained favorable N/S ratios (9.64–9.86). Redundancy analysis confirmed that water availability explained 63.4% of nutrient variance and revealed significant Treatment × FWC interactions. These findings reveal that nutrient hierarchies can be strategically manipulated through targeted fertilization, representing a nutrient management approach for enhancing drought tolerance. Full article
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21 pages, 2363 KB  
Article
Linking Soil Carbon Fractions to Tea Antioxidant and Quality: Impact of Biochar and Biogas Slurry Applications
by Shaohua Wang, Bingqin Fang, Kai Jiang, Meng Mi, Zewen Jin, Ming Hung Wong, Shengdao Shan and Lifeng Ping
Agronomy 2026, 16(2), 144; https://doi.org/10.3390/agronomy16020144 - 6 Jan 2026
Abstract
The effects of soil organic carbon fractions and tea enzyme activities on the antioxidant quality of tea leaves were determined. The experiment set up single biogas slurry application and co-application of biochar and biogas slurry (50%, 100%, 150%, 200% slurry substitution for nitrogen [...] Read more.
The effects of soil organic carbon fractions and tea enzyme activities on the antioxidant quality of tea leaves were determined. The experiment set up single biogas slurry application and co-application of biochar and biogas slurry (50%, 100%, 150%, 200% slurry substitution for nitrogen fertilizer, 350 °C pig manure biochar at 1% and 2% application rates and 500 °C rice straw biochar at 1% and 2% application rates). The results showed that, compared with the control (CK), the combined application of biochar and biogas slurry had a synergistic effect, with the most significant effect observed when 350 °C pig manure was combined with biogas slurry at a ratio of 2%. This treatment resulted in peak levels of readily oxidizable organic carbon (ROC) and dissolved organic carbon (DOC) in the soil, significantly increasing by 8.43 g/kg and 0.23 mg/kg, respectively, compared to the CK, and significantly enhancing the activity of key carbon cycle enzymes such as β-glucosidase (S-β-GC). These improvements in soil biochemical properties directly translated into improved tea quality: the tea leaves treated under this treatment had the highest content of tea polyphenols and amino acids, and the ABTS and DPPH free radical scavenging rates increased by 3.25% and 5.97%, respectively, compared to the CK, while the malondialdehyde (MDA) content was the lowest. Mantel test and multivariate regression analysis further confirmed that particulate organic carbon (POC) and dissolved organic carbon (DOC) were the main carbon components driving the accumulation of tea polyphenols, while catalase (CAT) and other enzymes were key co-regulatory enzymes. The optimal application ratio of biochar and biogas slurry not only improved tea leaf quality but also resulted in increased SOC content within the study period, providing preliminary evidence for promoting SOC accumulation in the short term. Full article
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17 pages, 2037 KB  
Article
Effects of Biochar Combined with Nitrogen Fertilizer on Soil Properties, Microbial Communities, and Maize Yield: A Three-Year Field Study
by Shuang Lu, Fanhao Meng, Ruifu Zhang, Yuqi Wang, Xiaoqing Hou, Jiwei Pan, Xiangru Pei and Hengshan Yang
Agronomy 2026, 16(2), 143; https://doi.org/10.3390/agronomy16020143 - 6 Jan 2026
Abstract
Biochar application can alter soil properties and enhance soil quality. However, the effects of the regulatory mechanisms underlying nitrogen fertilizer application on soil physicochemical properties and microbial characteristics remain unclear. We conducted a three-year maize field experiment to investigate the effects of four [...] Read more.
Biochar application can alter soil properties and enhance soil quality. However, the effects of the regulatory mechanisms underlying nitrogen fertilizer application on soil physicochemical properties and microbial characteristics remain unclear. We conducted a three-year maize field experiment to investigate the effects of four biochar application rates (0, 8, 16, and 24 t/ha) and three nitrogen fertilizer rates (0, 150, and 300 kg/ha) on soil physicochemical properties, enzyme activities, microbial community structure, and maize yield. In the 0–20 cm soil layer, the combined application of biochar and nitrogen fertilizer significantly increased soil porosity (SP) and soil water content (SWC), reduced soil bulk density (SBD), and increased soil organic carbon (SOC) and total nitrogen (TN) levels. Additionally, β-D-cellobiohydrolase and leucine aminopeptidase activities were enhanced, along with nitrogen acquisition potential. The relative abundance of Proteobacteria was highest at a biochar application rate of 16 t/ha. The combined 16 t/ha biochar and 150 kg/ha nitrogen treatment exhibited the highest maize yield. Maize yield was positively correlated with SP, SWC, SOC, and TN. Consequently, the combined application of 16 t/ha biochar and 150 kg/ha nitrogen improved soil physicochemical properties, enhanced soil enzyme activities, regulated key soil microbial taxa, and increased maize yield. Full article
(This article belongs to the Section Soil and Plant Nutrition)
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18 pages, 449 KB  
Article
Rotating Intercrops in Continuous Maize Cultivation: Interaction Between Main Crop, Intercrops, and Weeds
by Austėja Švereikaitė, Jovita Balandaitė, Ugnius Ginelevičius, Aušra Sinkevičienė, Rasa Kimbirauskienė, Lina Juodytė and Kęstutis Romaneckas
Agronomy 2026, 16(2), 142; https://doi.org/10.3390/agronomy16020142 - 6 Jan 2026
Abstract
Continuous cropping leads to declines in soil productivity and biodiversity, as well as a deterioration of overall phytosanitary conditions. What if we rotate the intercrops instead of the main crops? In a stationary three-year field experiment, maize was intercropped with Fabaceae (faba bean, [...] Read more.
Continuous cropping leads to declines in soil productivity and biodiversity, as well as a deterioration of overall phytosanitary conditions. What if we rotate the intercrops instead of the main crops? In a stationary three-year field experiment, maize was intercropped with Fabaceae (faba bean, crimson and Persian clovers, and blue-flowered alfalfa), Poaceae (winter rye, annual ryegrass, spring barley, and common oat), and Brassicaceae (white mustard, spring oilseed rape, oilseed radish, and spring Camelina) intercrops in separate growing seasons. Fabaceae intercrops developed slowly and competed poorly with weeds. The highest air-dried biomass (ADM) was produced by Persian and crimson clovers (approx. 86 g m−2). Intercrops of the Poaceae family, particularly rye and oats, as well as ryegrass, which was the most productive at 200 g m−2 ADM, germinated faster and competed effectively with weeds. Brassicaceae intercrops also developed rapidly, especially mustard, Camelina, and radish (the most productive 206 g m−2 ADM). Most intercrops competed with maize and reduced its biomass productivity; however, their competitive effects were weaker than those of weeds. A strong negative correlation between maize and weed biomass was detected (max. r = −0.946; p < 0.01). Complex evaluation index (CEI) showed that the crimson clover–annual ryegrass–spring oilseed rape rotation (CC-AR-SR) was the most productive and was effective in suppressing major weeds Echinochloa crus-galli, Chenopodium album, Polygonum lapathifolium, and Cirsium arvense, less competitive with maize (CEI 4.82), and can be used as an Integrated Pest Management tool. Full article
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27 pages, 8106 KB  
Review
Mapping the Evolution of DSSAT Model Research: Trends, Transitions, and Future Frontiers
by Shikai Gao, Pengcheng He, Yuliang Fu, Yanbin Li, Hongfei Wang, Qian Wang, Aofeng He, Yihao Liu, Wei Zeng, Hao Li, Xiaochuan Chen, Xinru Liu, Tianli Ren, Yaobin Wang and Xuewen Gong
Agronomy 2026, 16(2), 141; https://doi.org/10.3390/agronomy16020141 - 6 Jan 2026
Abstract
This study presents a comprehensive bibliometric analysis of the DSSAT crop modeling field from 1990 to 2024, identifying its evolutionary trajectory and emerging frontiers. A comprehensive bibliometric analysis and network visualization were conducted using VOSviewer, CiteSpace, and Bibliometrix. Analyzing 6165 Scopus-indexed publications, we [...] Read more.
This study presents a comprehensive bibliometric analysis of the DSSAT crop modeling field from 1990 to 2024, identifying its evolutionary trajectory and emerging frontiers. A comprehensive bibliometric analysis and network visualization were conducted using VOSviewer, CiteSpace, and Bibliometrix. Analyzing 6165 Scopus-indexed publications, we found the research focus has shifted from foundational yield simulation and calibration toward addressing complex climate-water-food challenges. Three distinct developmental phases were identified: an initial establishment phase, a methodological refinement phase, and a current technology integration phase dominated by machine learning and remote sensing applications. The results reveal that machine learning, model-data fusion, and sustainability assessment represent the most active research frontiers. This analysis provides a systematic map of the field’s intellectual structure and offers evidence-based predictions for its future development, highlighting the transition of DSSAT from a specialized crop model to an interdisciplinary decision-support platform for sustainable agriculture. Full article
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11 pages, 1623 KB  
Article
Seed Dormancy and Bet-Hedging Germination in Berberis amurensis var. quelpaertensis, an Endemic Species of Korea
by Do-Hyun Kim, Ji-Yoon Park, Da-Hyun Lee, Chae-Sun Na and Do-Hyung Lee
Agronomy 2026, 16(2), 140; https://doi.org/10.3390/agronomy16020140 - 6 Jan 2026
Abstract
Berberis amurensis var. quelpaertensis (Nakai) Nakai is an endemic shrub species in Korea with considerable conservation importance; however, information regarding its propagation remains limited. This study aimed to characterize its seed dormancy type and identify optimal germination requirements. Water imbibition tests demonstrated that [...] Read more.
Berberis amurensis var. quelpaertensis (Nakai) Nakai is an endemic shrub species in Korea with considerable conservation importance; however, information regarding its propagation remains limited. This study aimed to characterize its seed dormancy type and identify optimal germination requirements. Water imbibition tests demonstrated that seed weight increased by >21% in 24 h, indicating a permeable seed coat and the lack of physical dormancy (PY). Additionally, morphological analysis revealed that embryos were completely developed at the time of seed dispersal, indicating the non-occurrence of morphophysiological dormancy (MPD). The results from modified move-along and stratification experiments showed that germination was notably enhanced by cold stratification at 5 °C; however, it also occurred following a prolonged period (>68 weeks) of warm stratification alone. Therefore, we conclude that the seeds of B. amurensis var. quelpaertensis exhibit intermediate physiological dormancy, which may represent a “bet-hedging” strategy adapted to the unique conditions of their alpine environment. Full article
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25 pages, 4275 KB  
Article
Deciphering the Mechanisms Underlying Enhanced Drought Tolerance in Autotetraploid Apple ‘Redchief’: Physiological, Biochemical, Molecular, and Anatomical Insights
by Monika Działkowska, Danuta Wójcik, Krzysztof Klamkowski, Agnieszka Marasek-Ciołakowska and Małgorzata Podwyszyńska
Agronomy 2026, 16(2), 139; https://doi.org/10.3390/agronomy16020139 - 6 Jan 2026
Abstract
It is generally believed that plant polyploids exhibit greater tolerance to abiotic stress conditions than their diploid counterparts. The aim of the present research was to investigate the mechanisms underlying enhanced drought tolerance in the autotetraploid apple ‘Redchief’ as compared to its diploid [...] Read more.
It is generally believed that plant polyploids exhibit greater tolerance to abiotic stress conditions than their diploid counterparts. The aim of the present research was to investigate the mechanisms underlying enhanced drought tolerance in the autotetraploid apple ‘Redchief’ as compared to its diploid counterpart. The study was conducted on potted plants over two growing seasons, and simulated drought conditions were induced by limiting or withholding irrigation. Under drought stress, the responses of the clone ‘Redchief’ 4x-25 and its diploid counterpart were compared at physiological, biochemical, and molecular levels. In addition, changes in leaf anatomical structure, stomatal characteristics, and parameters related to growth dynamics were examined in drought-challenged plants. The results indicate that apple tetraploids have a greater ability to adapt to water-deficit conditions than diploids. Under drought stress, apple tetraploids exhibited better physiological and biochemical parameters and maintained a greater capacity for continued growth than diploids. We propose that the primary mechanism underlying the increased drought tolerance in apple tetraploids is a faster and more efficient activation of antioxidant defenses and proline accumulation compared to diploids. The high plasticity of anatomical traits in apple tetraploids in response to adverse environmental conditions was also demonstrated. Full article
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Article
Silicate Agrominerals Mitigate Greenhouse Gas Emissions and Enhance Soil Carbon in Tropical Pasture of the Brazilian Cerrado
by Marcos Vinícius Araujo dos Santos, Alexsandra Duarte de Oliveira, Cícero Célio de Figueiredo, João Paulo Guimarães Soares, Giuliano Marchi, Thayná Xavier Santana, Altair César Moreira de Andrade, Daphne Heloísa de Freitas Muniz, José Ferreira Lustosa Filho, Arminda Moreira de Carvalho, Marcos Aurélio Carolino de Sá and Éder de Souza Martins
Agronomy 2026, 16(2), 138; https://doi.org/10.3390/agronomy16020138 - 6 Jan 2026
Abstract
The mitigation of greenhouse gas emissions in livestock farming is one of the main challenges for agriculture in the Cerrado biome. Among promising practices, the use of soil remineralizers (REM) stands out as a sustainable and complementary alternative to conventional fertilizers. This study [...] Read more.
The mitigation of greenhouse gas emissions in livestock farming is one of the main challenges for agriculture in the Cerrado biome. Among promising practices, the use of soil remineralizers (REM) stands out as a sustainable and complementary alternative to conventional fertilizers. This study evaluated the effects of applying REM derived from basalt and biotite schist on emissions of N2O, CO2 and CH4, the global warming potential (GWP), as well as on soil carbon and nitrogen in Urochloa brizantha cv. BRS Paiaguás pasture. The experiment was conducted in randomized blocks with five treatments (control, KCl, basalt 8.33 Mg ha−1, basalt 40 Mg ha−1, and biotite schist 151 Mg ha−1). Results indicated that KCl and high-dose basalt (40 Mg ha−1) promoted greater accumulated N2O emissions and higher GWP values. In contrast, biotite schist reduced N2O emissions and showed the lowest GWP (81.67 kg CO2 eq. ha−1), while basalt at a moderate dose (8.33 Mg ha−1) increased soil C and N stocks. It is concluded that soil remineralizers, especially those derived from biotite schist, represent viable alternatives to reduce environmental impacts and promote the sustainability of tropical agricultural systems in Cerrado biome. Full article
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