-
Role of Intercropping, Herbicides and Fungicides in Compensating for the Lack of Crop Rotation in Long-Term Continuous Cropping of Two Potato Cultivars -
Polyploidy Promotes Larger Mango Fruits with Cultivar-Specific Quality Changes -
An Overview of Bacterial Canker in Stone Fruits Caused by Different Pseudomonads: Pseudomonas syringae Species Complex and Related Species
Journal Description
Agriculture
Agriculture
is an international, peer-reviewed, open access journal published semimonthly online.
- 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), GEOBASE, PubAg, AGRIS, RePEc, and other databases.
- Journal Rank: JCR - Q1 (Agronomy) / CiteScore - Q1 (Plant Science)
- Rapid Publication: manuscripts are peer-reviewed and a first decision is provided to authors approximately 17.4 days after submission; acceptance to publication is undertaken in 2.4 days (median values for papers published in this journal in the first half of 2026).
- Recognition of Reviewers: Reviewers whose reports are timely and of high quality receive an APC discount voucher for a future publication in an MDPI journal. Become a reviewer.
- Companion journals for Agriculture include: Poultry, Grasses, Crops, AIPA and Grain Science.
- Journal Cluster of Agricultural Science: Agriculture, Agronomy, Horticulturae, Soil Systems, AgriEngineering, Crops, Seeds, Grasses, Agrochemicals and AI and Precision Agriculture.
Impact Factor:
4.5 (2025);
5-Year Impact Factor:
4.6 (2025)
Latest Articles
CFD-DEM Evaluation of Particle Circulation and High-Percentile Contact Loading in a Draft-Tube Fluidized-Bed Seed Coater for Chinese Cabbage Seeds
Agriculture 2026, 16(18), 1969; https://doi.org/10.3390/agriculture16181969 - 14 Sep 2026
Abstract
Stable circulation and limited mechanical loading are key requirements in the fluidized-bed coating of small vegetable seeds. For Chinese cabbage seeds, their small mass, irregular geometry, and mechanical sensitivity make it difficult to evaluate operating conditions using only global indicators, such as mean
[...] Read more.
Stable circulation and limited mechanical loading are key requirements in the fluidized-bed coating of small vegetable seeds. For Chinese cabbage seeds, their small mass, irregular geometry, and mechanical sensitivity make it difficult to evaluate operating conditions using only global indicators, such as mean particle velocity and bed expansion height. In this study, a two-way coupled computational fluid dynamics–discrete element method (CFD-DEM) model was developed for a draft-tube fluidized-bed seed coater. Chinese cabbage seeds were represented by seven-sphere clumps, and an L9(33) orthogonal array was used as a screening design to examine inlet air velocity, initial bed height, and bottom circulation inlet gap. The evaluation combined cycle time distribution (CTD), the global low-speed particle fraction Rs, the 95th-percentile normal contact force F95,n, and the normalized high-percentile contact-load ratio ηc,95. Because the L9 array cannot resolve interactions or support a full quadratic model, factor effects were interpreted descriptively within the investigated range rather than as a confirmatory global optimization. Initial bed height produced the largest descriptive contribution to the circulation period, Rs, and F95,n. Increasing inlet air velocity shortened the circulation period and reduced Rs but increased high-percentile contact loading. Across the nine cases, F95,n ranged from 7.50 to 14.50 mN and ηc,95 from 0.18% to 0.35%; ηc,95 is used only as a normalized load ratio and not as a validated probability of seed damage. Case 4 ranked first under equal weighting and contact-load-priority weighting, whereas Case 7 ranked first under circulation-priority weighting. Case 4 is therefore described as a weight-dependent balanced candidate within the tested parameter range. Prototype experiments reproduced the ordering of circulation periods for three dry operating conditions, supporting qualitative consistency between simulated and observed circulation behavior. Visible breakage remained below 0.5%, but this observation provides only preliminary qualitative correspondence with the simulated contact-load trend. The proposed framework is intended for dry-stage screening and does not directly predict wet-coating quality, adhesion, agglomeration, or germination performance.
Full article
(This article belongs to the Section Seed Science and Technology)
►
Show Figures
Open AccessArticle
Complete Coverage Path Planning for Agricultural Sowing Machine Using Improved Biological Neural Network
by
Jun Wei, Zhan Zhao, Sisi Liu, Qianqian Zhou and Yanan Zhang
Agriculture 2026, 16(18), 1968; https://doi.org/10.3390/agriculture16181968 - 14 Sep 2026
Abstract
Complete coverage path planning for sowing machinery is a challenging task since sown areas should not be repeatedly traversed, which is a major difference with the planning of cleaning robots. This paper proposes an improved biological neural network (BNN) approach considering an operational
[...] Read more.
Complete coverage path planning for sowing machinery is a challenging task since sown areas should not be repeatedly traversed, which is a major difference with the planning of cleaning robots. This paper proposes an improved biological neural network (BNN) approach considering an operational mode switching mechanism between sowing and non-sowing movement. Based on surrounding environmental conditions, the next node state is classified as sowing, closed, or transfer node. Guided by the BNN landscape, the machine continues the sowing operation along parallel straight paths at sowing nodes. Once a closed node is detected, the machine switches to non-sowing mode and searches the potentially closed area using a depth-first search algorithm. Then, the machine moves to a new target node along the shortest non-sowing path and restarts sowing. This avoids the sown-path-induced enclosure (SPIE) problem. When a transfer node is detected, the machine also switches to non-sowing mode, then searches and travels to a reasonable new target node to restart sowing. This improves the rationality of the sowing path. Simulations show that the proposed method achieves complete coverage of sowing operations while avoiding repeated traversal of sown areas. Experiments on a differential drive crawler chassis platform verify the feasibility of the proposed method.
Full article
(This article belongs to the Section Agricultural Technology)
►▼
Show Figures

Figure 1
Open AccessArticle
Large-Scale Evaluation of Official Containment Measures Against Meloidogyne graminicola Golden & Birchfield in European Rice Fields
by
Mariangela Ciampitti, Anna Simonetto, Stefano Sacchi and Gianni Gilioli
Agriculture 2026, 16(18), 1967; https://doi.org/10.3390/agriculture16181967 - 14 Sep 2026
Abstract
The root-knot nematode Meloidogyne graminicola is a major rice pest recently introduced into Europe. In Lombardy (northern Italy), an official containment programme has been implemented to limit its spread while allowing rice cultivation to continue in infested areas. This study provides a large-scale
[...] Read more.
The root-knot nematode Meloidogyne graminicola is a major rice pest recently introduced into Europe. In Lombardy (northern Italy), an official containment programme has been implemented to limit its spread while allowing rice cultivation to continue in infested areas. This study provides a large-scale evaluation of the field performance of the phytosanitary measures implemented under commercial farming conditions between 2022 and 2025. Field performance differed among management measures and according to the phytosanitary status of fields at the beginning of each annual observation. Trap-cropping showed high operational performance while allowing continued rice production, and crop rotation was also associated with favourable outcomes. In contrast, prolonged post-harvest flooding showed more variable performance under local environmental and operational conditions. Analysis of three-year management programmes further indicated substantial differences among the management sequences implemented in the monitored fields. Programmes combining crop rotation and trap-cropping were among those with the highest observed proportions of hectares meeting the official eradication criterion, although management sequences were not experimentally assigned. Overall, the results show that official containment measures can support the progressive recovery of infested fields under commercial farming conditions. The Lombardy experience provides large-scale operational evidence to inform the development of containment-based strategies for M. graminicola in European rice-growing areas, while highlighting the need to adapt management programmes to local agronomic and environmental conditions.
Full article
(This article belongs to the Section Crop Protection, Diseases, Pests and Weeds)
►▼
Show Figures

Figure 1
Open AccessArticle
Polyaspartic Acid-Urea Enriches Nitrate in Topsoil and Optimizes Root Architecture to Improve Nitrogen Use Efficiency in Rice
by
Zhiyou Gong, Wei Zhou, Yu Fan, Xin Ni, He Wang, Guobang Li, Wenming Wang and Wanjun Ren
Agriculture 2026, 16(18), 1966; https://doi.org/10.3390/agriculture16181966 - 14 Sep 2026
Abstract
Conventional nitrogen fertilizers are often constrained by a short effective period, high nitrogen loss rates, and low nitrogen use efficiency (NUE). Novel amino acid-based fertilizers, such as polyaspartic acid (PASP)-urea, offer a promising solution to mitigate nitrogen losses and enhance crop NUE. To
[...] Read more.
Conventional nitrogen fertilizers are often constrained by a short effective period, high nitrogen loss rates, and low nitrogen use efficiency (NUE). Novel amino acid-based fertilizers, such as polyaspartic acid (PASP)-urea, offer a promising solution to mitigate nitrogen losses and enhance crop NUE. To evaluate the efficacy of PASP-urea in paddy fields, field and pot experiments were conducted in 2019 and 2020 using two rice cultivars, Shuhui 498 and Duohui 1. The study assessed three fertilizer treatments: PASP-urea, conventional urea, and a no-urea control. By analyzing soil and plant nitrogen content, root architecture, gene expression, and grain yield, this study investigated the relationship between PASP-urea application, soil nitrate distribution, and root architecture configuration. Compared with conventional urea, PASP-urea significantly increased nitrate concentration in the 0–10 cm soil layer for both rice varieties by 45.8–81.4% at 30 days after tillering fertilization. Concurrently, it significantly upregulated the expression of nitrate transporters NRT1.1A and NRT1.1B and promoted greater root distribution in the nitrate-enriched topsoil. This root distribution pattern promotes the uptake and utilization of nitrogen by rice plants. Consequently, PASP-urea increased grain yield by 6.7–11.7%, while nitrogen agronomic efficiency (NAE), nitrogen recovery efficiency (NRE), and nitrogen partial factor productivity (PFP) increased by 15.2–25%, 17.8–49.6%, and 6.8–11.2%, respectively. These results indicate that PASP-urea enhances NUE and is associated with increased topsoil nitrate concentration, upregulated nitrate uptake genes, and a remodeled root architecture, offering a viable strategy for sustainable rice production.
Full article
(This article belongs to the Section Crop Production)
►▼
Show Figures

Figure 1
Open AccessArticle
Configurational Dynamics of Agricultural Carbon Reduction in China’s Yellow River Basin
by
Shizheng Tan, Pengfei Li, Mengxin Wang, Le Yan, Xiaoguang Liu and Wei Li
Agriculture 2026, 16(18), 1965; https://doi.org/10.3390/agriculture16181965 - 14 Sep 2026
Abstract
Agricultural carbon reduction (ACR) is important for the green transformation of agriculture and ecological protection in the Yellow River Basin. However, ACR is not driven by a single factor. How different conditions combine and change over time remains unclear. Based on the technology–organization–environment
[...] Read more.
Agricultural carbon reduction (ACR) is important for the green transformation of agriculture and ecological protection in the Yellow River Basin. However, ACR is not driven by a single factor. How different conditions combine and change over time remains unclear. Based on the technology–organization–environment (TOE) framework, this study examines 77 cities in the Yellow River Basin from 2017 to 2022. Six antecedent conditions are considered: agricultural technological innovation (ATI), agricultural mechanization (AM), government environmental attention (GEA), government fiscal intervention (GFI), agricultural industrial structure (AIS), and urbanization (URB). Multi-period fuzzy-set qualitative comparative analysis (fsQCA) is used to identify the pathways to high ACR, their temporal evolution, and regional differences. The results show that (1) no single antecedent condition is necessary for high ACR in either period; (2) four high-ACR pathways are identified in the baseline period (2017–2019), comprising three types: agricultural structure–urbanization synergy, agricultural technological innovation-led, and technology–equipment–urbanization synergy; (3) four high-ACR pathways are also identified in the transition period (2020–2022). AIS is present in all four pathways, compared with only two pathways in the baseline period, and combines with AM or URB in different configurations; and (4) regional comparisons reveal alternative configurations of production and governance conditions. Upstream pathways include technology–equipment–government combinations, midstream pathways retain both technological and structural alternatives, and downstream pathways show a more pervasive role for AIS in the later period. These findings suggest that effective ACR policies should match local production and governance conditions rather than uniformly increase individual policy inputs.
Full article
(This article belongs to the Section Agricultural Economics, Policies and Rural Management)
►▼
Show Figures

Figure 1
Open AccessArticle
Effects of Ethylicin Fumigation on Soil-Borne Diseases and Tomato Growth in an Organic Agricultural Park
by
Yiwen Zheng, Wenyue Wang, Shenyan Liu, Kunpeng Yu, Jin Zhang, Yingchao Cheng, Xi Jin, Zheng Hao, Lirui Ren, Jie Gao, Ronglin He and Aocheng Cao
Agriculture 2026, 16(18), 1964; https://doi.org/10.3390/agriculture16181964 - 13 Sep 2026
Abstract
Long-term continuous cropping aggravates soil-borne diseases and seriously affects crop growth, yield, and quality. Soil fumigation is an effective approach for reducing soil-borne pathogen pressure before crop planting, but environmentally compatible alternatives to conventional fumigants are still needed. The objective of this study
[...] Read more.
Long-term continuous cropping aggravates soil-borne diseases and seriously affects crop growth, yield, and quality. Soil fumigation is an effective approach for reducing soil-borne pathogen pressure before crop planting, but environmentally compatible alternatives to conventional fumigants are still needed. The objective of this study was to evaluate the field efficacy of ethylicin as a soil fumigant for controlling major soil-borne pathogens under organic greenhouse production conditions and to determine its effects on soil physicochemical properties and tomato growth and yield. Two consecutive years of field trials were conducted at Yanqing Organic Park. During fumigation, the maximum soil temperature reached 50.8 °C at the soil surface and 42.6 °C at a depth of 10 cm, which may have contributed to pathogen suppression and enhanced the fumigation effect of ethylicin. Ethylicin markedly reduced the populations of Fusarium spp., Phytophthora spp., and Meloidogyne spp., with control efficacies ranging from 96.44% to 97.73%, 68.12% to 95.30%, and 72.12% to 96.91%, respectively. Fumigation also altered soil physicochemical and nutrient properties, decreasing NO3−–N content and electrical conductivity while increasing NH4+–N, organic matter, and available potassium. Tomato plant height, stem diameter, and chlorophyll content increased by 16.52%, 20.71%, and 6.73%, respectively, and yield increased by 35.28–38.83% over the two years. Phytophthora parasitica-associated root rot was also reduced following ethylicin fumigation, with the disease index decreasing from 3.75 ± 3.23 to 1.25 ± 2.50 in 2023 and from 5.56 ± 1.92 to 0 in 2024; no visible root rot symptoms were observed in the ethylicin treatment in 2024. Overall, ethylicin provided stable suppression of major soil-borne pathogens while improving soil nutrient conditions and tomato performance. These results support the potential of ethylicin as a pre-plant soil fumigant for greenhouse vegetable production, particularly in systems with high requirements for pesticide-residue control and environmental safety.
Full article
(This article belongs to the Section Crop Protection, Diseases, Pests and Weeds)
►▼
Show Figures

Figure 1
Open AccessArticle
Durum Wheat Responses to Organic and Conventional Management Systems: Agronomic Traits and Tissue-Specific Expression of Nitrogen Transport and Assimilation Genes
by
Remzi Özkan
Agriculture 2026, 16(18), 1963; https://doi.org/10.3390/agriculture16181963 - 13 Sep 2026
Abstract
Efficient nitrogen acquisition and utilization are essential for sustainable wheat production in contrasting management systems. However, little is known about how genotype × management interactions are associated with tissue-specific expression of nitrogen (N)-related genes in durum wheat under organic and conventional field conditions.
[...] Read more.
Efficient nitrogen acquisition and utilization are essential for sustainable wheat production in contrasting management systems. However, little is known about how genotype × management interactions are associated with tissue-specific expression of nitrogen (N)-related genes in durum wheat under organic and conventional field conditions. This study evaluated the agronomic, physiological, and molecular responses of 12 durum wheat genotypes (Triticum turgidum L. subsp. durum) grown under organic and conventional management during the 2022–2023 and 2023–2024 growing seasons. Six genotypes, comprising four higher-performing and two lower-performing genotypes, were selected for molecular analysis. The expression of ten genes involved in nitrate and ammonium transport and N assimilation was analyzed using reverse transcription quantitative polymerase chain reaction (RT-qPCR) in leaf, stem, and root tissues. The mean grain yield was 4078.29 kg ha−1 under organic management and 3997.35 kg ha−1 under conventional management. Thus, mean grain yield was approximately 2.0% higher under organic management. Genotypic responses differed between the two systems: AYM-6 had the highest grain yield under conventional management (5201.92 kg ha−1), whereas AYM-3 had the highest grain yield under organic management (5059.72 kg ha−1). Among the ten genes, NRT2.1 and GS1 had higher transcript abundance under conventional management, whereas the other eight had higher transcript abundance under organic management. GS1 generally had the highest transcript abundance, while NRT1 had the lowest. Gene expression was strongly tissue-dependent, with leaves generally showing the highest transcript levels. Gene–trait analysis further revealed a positive relationship between leaf NRT2.1 expression and grain yield under conventional management (R2 = 0.78, p = 0.020) and a negative relationship between root NRT1.1 expression and grain yield under organic management (R2 = 0.68, p = 0.043). The results showed management- and genotype-specific agronomic responses, while selected N-related gene-expression patterns were associated with grain yield in a tissue- and management-dependent manner. These findings support the evaluation and selection of durum wheat genotypes directly within the target management system.
Full article
(This article belongs to the Section Crop Production)
►▼
Show Figures

Figure 1
Open AccessReview
Agricultural Mobile Platforms for Smart Farming: Design Requirements, Platform Types, Applications, and Future Perspectives
by
Xing Zhang, Huihui Sun, Fan Guo and Rui-Feng Wang
Agriculture 2026, 16(18), 1960; https://doi.org/10.3390/agriculture16181960 - 13 Sep 2026
Abstract
Agricultural mobile platforms provide the physical foundation for sensing, field operations, and material handling in smart farming, yet their design is strongly constrained by crop geometry, terrain conditions, task-specific payloads, energy demand, and operational reliability. This review examines agricultural mobile platforms from four
[...] Read more.
Agricultural mobile platforms provide the physical foundation for sensing, field operations, and material handling in smart farming, yet their design is strongly constrained by crop geometry, terrain conditions, task-specific payloads, energy demand, and operational reliability. This review examines agricultural mobile platforms from four complementary perspectives: design and operational requirements, platform classification, powertrain and mobility technologies, and agricultural applications. Wheeled, tracked, legged and wheel-legged, and rail-guided or constrained-motion platforms are compared in terms of mobility characteristics and suitable operating environments. Power sources, drive systems, steering mechanisms, mobility control, and platform–implement integration are further discussed, with particular attention to electrification, distributed drive, dynamic loads, and coordinated power allocation. Representative applications include crop monitoring and phenotyping, precision crop management, weeding and harvesting, and transportation and multi-purpose operations. Current challenges arise from the strong coupling among terrain adaptability, payload, energy capacity, autonomy, and long-term reliability, as well as limited interoperability between platforms and implements. Future development should emphasize task-oriented reconfigurable platforms, standardized mechanical and electrical interfaces, task-level energy management, and mobility control that accounts for real-time platform and terrain conditions.
Full article
(This article belongs to the Special Issue Design and Evaluation of Powertrain Systems for Agricultural Vehicles)
Open AccessArticle
The Impact of the Digital Economy on Carbon Emissions from China’s Livestock Industry: Moderating Effects and Spatial Spillovers
by
Xiaolin Wu, Yue Hu and Xinglong Yang
Agriculture 2026, 16(18), 1962; https://doi.org/10.3390/agriculture16181962 - 12 Sep 2026
Abstract
In recent years, China’s Central No. 1 Document has repeatedly highlighted the need to advance agricultural digitalization and green transformation, with the aim of improving production efficiency while reducing carbon emissions. For the livestock sector, emission reduction is an essential component of achieving
[...] Read more.
In recent years, China’s Central No. 1 Document has repeatedly highlighted the need to advance agricultural digitalization and green transformation, with the aim of improving production efficiency while reducing carbon emissions. For the livestock sector, emission reduction is an essential component of achieving the agricultural “dual carbon” goals, and digital transformation is becoming a functional mechanism for achieving a lower carbon footprint. Using balanced panel data, this study evaluates the development level of the digital economy and livestock-related carbon emissions, and further investigates how the former affects the latter. In addition, the paper examines whether regional economic development moderates this relationship and whether the effects extend across neighboring regions through spatial spillovers. According to the derived data: (1) During the sample period, livestock carbon emissions in China generally declined with fluctuations, although clear regional disparities remained; (2) The digital economy contributes to lower carbon emissions in livestock production; such emissions tend to be lower in regions with more advanced digital development; (3) The carbon reduction effect of the digital economy is further enhanced by regional economic development, indicating that its impact is more significant in more developed regions; (4) Spatial spillovers are also evident, as digital development in neighboring regions influences local livestock emissions. Collectively, the results highlight the importance of coordinating digitalization with low-carbon transitions in the livestock sector.
Full article
(This article belongs to the Section Agricultural Economics, Policies and Rural Management)
Open AccessArticle
A Laser Weeding Method Based on Adaptive Safety Constraints and Priority Target Scheduling for Maize Fields
by
Yuqi Zhang, Xuehai Wang, Hu Lei, Lili Fu and Yanlei Xu
Agriculture 2026, 16(18), 1961; https://doi.org/10.3390/agriculture16181961 - 12 Sep 2026
Abstract
Laser weeding offers significant advantages over conventional weed control methods; however, its practical deployment in maize fields remains challenging due to dynamic target variations, imprecise weed localization, and inefficient laser execution. In this study, a closed-loop laser weeding framework was developed for maize
[...] Read more.
Laser weeding offers significant advantages over conventional weed control methods; however, its practical deployment in maize fields remains challenging due to dynamic target variations, imprecise weed localization, and inefficient laser execution. In this study, a closed-loop laser weeding framework was developed for maize fields by integrating visual perception, multi-target tracking, safety-constrained decision making, and priority-based laser scheduling to achieve accurate and efficient weed treatment under dynamic field conditions. The system consists of visual perception, galvanometer control, and laser emission modules. ByteTrack was introduced to achieve stable ID assignment and continuous position feedback for weed targets, thereby reducing repeated ineffective irradiation and energy consumption. A target scheduling strategy constrained by a maize safety zone was further developed. An adaptive elliptical safety zone was constructed to screen candidate weed targets and optimize their priorities. By incorporating safety-zone modeling, galvanometer transition cost, and target urgency, the proposed strategy optimizes the laser striking sequence while reducing crop-injury risk and improving target-selection efficiency. The method was deployed on the developed platform and evaluated through field experiments under different travel speeds and illumination conditions. The results showed that the average weeding rate, maize seedling injury rate, and weed regrowth rate were 83.67%, 2.23%, and 5.23% under three travel speeds, and 82.57%, 2.63%, and 4.87% under three illumination levels, respectively. These results demonstrate that the proposed method enables stable weed tracking and efficient laser weeding while improving real-time performance, operational safety, and intelligent decision making. This study provides a deployable technical solution for precision laser weeding in field applications.
Full article
(This article belongs to the Section Agricultural Technology)
►▼
Show Figures

Figure 1
Open AccessArticle
Groundwater-Depth Forecasting to Support Irrigation Management in the Tagus Vulnerable Zone Using an ARX–XGBoost Framework
by
Diogo Pinto, Manuel Campagnolo, Maria João Martins, João Rolim, Beatriz Vacas and Maria do Rosário Cameira
Agriculture 2026, 16(18), 1959; https://doi.org/10.3390/agriculture16181959 - 12 Sep 2026
Abstract
Groundwater is an essential source of irrigation water in Mediterranean agricultural regions, where seasonal crop water requirements and recurrent drought increase pressure on shallow aquifers. Forecasting groundwater depth can help irrigators and water managers anticipate changes in pumping conditions and identify periods of
[...] Read more.
Groundwater is an essential source of irrigation water in Mediterranean agricultural regions, where seasonal crop water requirements and recurrent drought increase pressure on shallow aquifers. Forecasting groundwater depth can help irrigators and water managers anticipate changes in pumping conditions and identify periods of increased abstraction risk. This study presents a data-driven framework for forecasting groundwater depth in the Tagus Nitrate Vulnerable Zone, central Portugal, an intensively cultivated region substantially dependent on shallow alluvial groundwater. The framework combines an autoregressive model with exogenous inputs and extreme gradient boosting and applies a leakage-safe rolling-origin validation strategy. Groundwater depth was modelled independently at each monitoring well using monthly observations, accounting for data gaps and uneven record lengths. Performance was assessed over forecast horizons of up to 12 months using error metrics calculated only from observed values. Feature-importance analysis showed the dominant role of groundwater persistence and seasonality, together with site-dependent contributions from precipitation, reference evapotranspiration, and river discharge. Forecast errors increased gradually with lead time but remained below 1 m for 14 of 17 wells. The framework provides forward-looking information that can complement irrigation-demand assessment and groundwater monitoring, supporting the anticipation of changing pumping conditions and the identification of areas requiring closer abstraction management.
Full article
(This article belongs to the Section Agricultural Water Management)
►▼
Show Figures

Figure 1
Open AccessReview
Discrete Element Method-Based Modeling and Application of Agricultural Materials: A Review
by
Xingchi Zhou, Yanbin Liu and Zhenwei Liang
Agriculture 2026, 16(18), 1958; https://doi.org/10.3390/agriculture16181958 - 12 Sep 2026
Abstract
Discrete element method (DEM) has become an essential tool for analyzing particle-scale behavior and complex interactions in agricultural materials and machinery. This review synthesizes recent advances in DEM-based modeling and applications in agricultural engineering. It systematically examines particle modeling strategies, contact model development,
[...] Read more.
Discrete element method (DEM) has become an essential tool for analyzing particle-scale behavior and complex interactions in agricultural materials and machinery. This review synthesizes recent advances in DEM-based modeling and applications in agricultural engineering. It systematically examines particle modeling strategies, contact model development, and parameter calibration frameworks for representative materials such as soil, seeds, fertilizers, stalks, and roots. The evolution from simple spherical approximations to multi-sphere, bonded, and 3D scan-based reconstructions is highlighted, along with the shift from classical Hertz–Mindlin models to cohesive, elasto-plastic, and fracture-capable formulations. Calibration methods are traced from empirical assignment to systematic frameworks that integrate design of experiments, response surface methodology, and machine-learning-assisted inverse analysis. These advances in fidelity and accuracy have enabled extensive DEM applications in tillage, seeding, fertilization, and harvesting, with emphasis on equipment optimization, mechanism analysis, and performance prediction. Despite the progress, challenges remain in model standardization, parameter transferability, computational cost, and multiphysics coupling. Future work points to unified modeling frameworks, standardized databases, real-time simulation, and integration with artificial intelligence to support digital agriculture and intelligent machinery. This review aims to serve as a reference for high-fidelity DEM modeling and for advancing the digital transformation of agricultural engineering.
Full article
(This article belongs to the Special Issue Intelligent Technologies for Full-Cycle Crop Production: From Phenotyping to Machinery Design)
Open AccessReview
Soil Microbiome Responses to Sustainable Agricultural Practices
by
Dragana Miljaković, Jelena Marinković, Marjana Vasiljević, Vuk Đorđević, Marie Aristea Bakogianni, Nikolaos Nikoloudakis and Ioannis Manikas
Agriculture 2026, 16(18), 1957; https://doi.org/10.3390/agriculture16181957 - 11 Sep 2026
Abstract
Agricultural practices based on sustainable principles (e.g., conservation tillage, crop rotation, cover cropping, and the application of organic inputs) have been tested for their potential to improve soil structure, enhance soil organic matter, and support agrobiodiversity. These practices are directly linked to soil
[...] Read more.
Agricultural practices based on sustainable principles (e.g., conservation tillage, crop rotation, cover cropping, and the application of organic inputs) have been tested for their potential to improve soil structure, enhance soil organic matter, and support agrobiodiversity. These practices are directly linked to soil microbial diversity. Diverse soil microbial communities play multiple roles in promoting beneficial interactions between plants and their environment and in maintaining functional agroecosystems. Key functions enabled by soil microorganisms are carbon dynamics, nutrient cycling, soil structure improvement, pathogen suppression, plant growth promotion, and stress tolerance. Soil microorganisms are increasingly recognized as a promising but still underexploited source in tackling sustainability challenges in agricultural production. However, their potential varies depending on the interactions among abiotic and biotic factors, as well as the applied cultivation practices. In recent decades, advances in DNA extraction from soil and next-generation sequencing (NGS) technologies have enabled comprehensive characterization of microbial diversity, community composition, and functional potential for assessing soil health and agroecosystem functioning. Understanding, predicting, and exploring relevant plant–soil–microbiome interactions are essential for enhancing agroecosystem capacity for sustainable production. This review paper highlights how different factors and agricultural practices affect microbiome biodiversity. The focus is on microbiome approaches that integrate information on community composition with assessments of functional potential and measured microbial activity and ecosystem processes, combining state-of-the-art molecular monitoring, ecological indicators, and predictive modeling to support evidence-based management recommendations, distinguishing approaches that are currently applicable in agricultural practice from those that require further experimental validation.
Full article
(This article belongs to the Section Agricultural Soils)
►▼
Show Figures

Figure 1
Open AccessArticle
Change of Fresh Yield and Agro-Morphological Traits of Pisum sativum L. Under Color Commercial Shading Nets in Different Intensities
by
Sibel İpekeşen, Süreyya Betül Rufaioğlu, Leyla Turan, Murat Tunç, Doğan İpekeşen, Levent Yorulmaz, Mihriban Okur and Behiye Tuba Biçer
Agriculture 2026, 16(18), 1956; https://doi.org/10.3390/agriculture16181956 - 11 Sep 2026
Abstract
Different coloured and intensity commercial shade nets are increasingly proposed as a low-cost tool for mitigating abiotic stress in semi-arid cropping systems, but cultivar-specific responses in grain legumes remain poorly documented. This study was conducted in an open field at the Faculty of
[...] Read more.
Different coloured and intensity commercial shade nets are increasingly proposed as a low-cost tool for mitigating abiotic stress in semi-arid cropping systems, but cultivar-specific responses in grain legumes remain poorly documented. This study was conducted in an open field at the Faculty of Agriculture, Dicle University, Diyarbakır, Türkiye, under rainfed conditions to evaluate the effects of unshaded sunlight and three-color commercial shading nets in different intensities (95% shaded dark green; 40% shaded blue–green; 75% shaded black net) on the pea cultivars Araka and Vining pea. The experiment was arranged as a randomised complete block design in split plots with three replications, and plants were sampled at the slow growth (DAE 25), full blooming (DAE 45), podding (DAE 60), seed filling (DAE 75), and physiological maturity (DAE 90) stages. At DAE 75, we recorded the tallest plants under a 75% shaded black net (53.17 cm), the longest roots under sunlight (20.75 cm), the highest number of leaves per plant under 95% shaded dark green net (70.83), the largest leaf area under 75% shaded black net (471.95 cm2 plant−1), and the highest dry biomass under sunlight (11.46 g). At physiological maturity, the 75% shaded black net increased pod length (8.50 cm), pod weight per plant (35.10 g), number of fresh seeds per plant (27.33), and fresh seed weight (15.45 g). Complementary analyses based on a specific leaf area proxy, a harvest-index proxy, and a yield–risk matrix revealed a qualitative cultivar × shade interaction in biomass-to-seed conversion, with Vining pea performing best under a 75% shaded black net and Araka under a 95% shaded dark green net. Shade nets are therefore not a one-size-fits-all tool and should be selected in a cultivar-aware manner.
Full article
(This article belongs to the Section Crop Production)
Open AccessArticle
Cultivation Age Drives Soil Organic Nitrogen Transformation in Vineyards via Reshaping chiA-Harboring Microbial Communities and Hy-Drolase Activities
by
Zhubing Shao, Lei Yan, Shuo Fang, Xue Wang, Chunyan Yu, Guohui Wu and Hanwen Liu
Agriculture 2026, 16(18), 1955; https://doi.org/10.3390/agriculture16181955 - 11 Sep 2026
Abstract
Long-term grape cultivation alters soil acid–base properties and nitrogen transformation processes, yet the mechanisms underlying the changes in soil physical and chemical properties as well as nitrogen components remain unclear. In this study, four grape vineyards with cultivation ages of 0.5 (newly established,
[...] Read more.
Long-term grape cultivation alters soil acid–base properties and nitrogen transformation processes, yet the mechanisms underlying the changes in soil physical and chemical properties as well as nitrogen components remain unclear. In this study, four grape vineyards with cultivation ages of 0.5 (newly established, Y0.5), 4 (Y4), 16 (Y16), and 22 years (Y22) in Penglai, Yantai, China, were selected as research subjects. Soil nitrogen pools, key nitrogen hydrolase activities, and chiA gene community assembly, as well as their internal regulatory relationships were investigated. The results revealed that cultivation age significantly reshaped soil nitrogen speciation: Y16 vineyards exhibited the highest concentrations of total nitrogen, mineral nitrogen, microbial biomass nitrogen, and labile hydrolyzable ammonium nitrogen (HAN), representing a critical inflection point of soil nitrogen supply capacity. With prolonged cultivation to 22 years, soil nitrogen pools shifted toward recalcitrant stable organic nitrogen (stable-SON), accompanied by significant accumulation of amino sugar nitrogen (ASN). Activities of N-acetyl-β-D-glucosaminidase (NAG), urease, amidase and leucine aminopeptidase were markedly suppressed in Y16 soils. Both Chao1 richness and Shannon diversity indices of chiA gene communities reached the minimum values at 16 years, and PCoA confirmed distinct community separation of Y16 from other age groups. Soil pH, ammonium nitrogen and nitrate nitrogen were the dominant environmental filters governing chiA community composition. Actinomycetota and Pseudomonadota dominated the chiA-harboring microbiota, with acid-tolerant Streptomyces significantly enriched in Y16, while keystone genera Nonomuraea and Pseudoxanthomonas mediated the conversion between labile and stable organic nitrogen pools. Redundancy analysis demonstrated that chiA community composition (25.5% explanation), chiA α-diversity (19.3% explanation), and NAG activity (14.6% explanation) were the primary drivers of soil organic nitrogen fraction variation. Results support a four-level cascading framework wherein stand-age-induced soil acidification and altered N inputs drive shifts in chiA-harboring microbial diversity and community structure, which in turn modulate nitrogen hydrolase activities and ultimately govern the reciprocal transformation between labile and stable organic nitrogen pools, resulting in stage-specific nitrogen supply capacity. This study clarifies the microbial gene–enzyme–nitrogen pool coupling mechanism in chronosequence vineyards and provides theoretical guidance for targeted nitrogen management of aged vineyards.
Full article
(This article belongs to the Section Agricultural Soils)
Open AccessArticle
Effects of Different Planting Patterns on Coordinated Development of Source–Sink and Quality Traits in Cotton
by
Yage Li, Ziang Zhang, Shuaiguo Ma, Weifeng Guo and Xinchuan Cao
Agriculture 2026, 16(18), 1954; https://doi.org/10.3390/agriculture16181954 - 11 Sep 2026
Abstract
The synergistic regulatory mechanism of current planting patterns on cotton agronomic traits, boll source–sink development and fiber quality remains unclear. Therefore, this study used 11 upland cotton parents and 36 F1 progenies as materials. Three planting patterns, namely, one film–three rows, one film–four
[...] Read more.
The synergistic regulatory mechanism of current planting patterns on cotton agronomic traits, boll source–sink development and fiber quality remains unclear. Therefore, this study used 11 upland cotton parents and 36 F1 progenies as materials. Three planting patterns, namely, one film–three rows, one film–four rows and one film–six rows, were established from 2024 to 2025. The dynamic changes in the boll morphology and dry-fresh-weight accumulation of each boll component were monitored at eight stages from 10 to 60 days after anthesis, and agronomic traits and fiber quality were measured simultaneously. The Logistic growth model was adopted to fit cotton boll growth parameters to analyze the regulatory effects of planting patterns on the developmental process and dry-matter accumulation of upland cotton. The results showed that boll morphological stability gradually decreased with the increase in planting density. The maximum cumulative boll volume (Wm) under the one-film–three-rows pattern ranged from 29.19 to 30.97 cm3, higher than those under one film–four rows (28.35–30.77 cm3) and one film–six rows (28.74–30.86 cm3). Vegetative growth indicators, including plant height, height of the first fruiting node and number of fruiting branches, declined with increasing density. The one-film–six-rows treatment exhibited a significantly higher proportion of empty fruiting branches and a lower boll-setting rate. The one-film–three-rows pattern presented prominent single-boll sink capacity, yet suffered insufficient population photosynthetic supply, leading to assimilate allocation biased toward vegetative organs. Under high-density competition stress, the one-film–six-rows pattern possessed poor source–sink stability and inhibited dry-matter accumulation in reproductive organs. The one-film–four-rows pattern achieved the highest dry-matter translocation efficiency from boll shell to cottonseed and fibers, with the maximum cumulative fiber dry weight (Wm) of 2.40–2.62 g, and obtained optimal fresh-weight accumulation and allocation of fibers. Synthesizing all indicators, the one-film–four-rows pattern is more suitable for cotton growth in southern Xinjiang, which can balance population boll-setting potential and boll dry-matter allocation efficiency. These results are only derived from two-year field-located experiments in southern Xinjiang. Multi-site trials are required in further research to clarify the applicable scope of this cultivation pattern in other cotton-producing regions.
Full article
(This article belongs to the Section Crop Production)
►▼
Show Figures

Figure 1
Open AccessArticle
Rhizosheath Research at the Root–Soil–Microbiome Interface: A Bibliometric and Thematic Analysis of Stress Adaptation and Crop Resilience
by
Elshafia Ali Hamid Mohammed, Mahbubjon Rahmatov, Mohammed Elsafy, Rodomiro Ortiz, Nataliya Bilyera, Michaela A. Dippold and Tilal Abdelhalim
Agriculture 2026, 16(18), 1953; https://doi.org/10.3390/agriculture16181953 - 11 Sep 2026
Abstract
The rhizosheath is a dynamic plant–soil interface in which root traits, microbial activity, and soil physical properties jointly regulate plant adaptation to drought and nutrient limitation. Despite the growing interest in this field, it remains conceptually fragmented. This study mapped the development, structure,
[...] Read more.
The rhizosheath is a dynamic plant–soil interface in which root traits, microbial activity, and soil physical properties jointly regulate plant adaptation to drought and nutrient limitation. Despite the growing interest in this field, it remains conceptually fragmented. This study mapped the development, structure, and emerging directions of rhizosheath research at the intersection of microbiome interactions, stress adaptation, and root-trait genetics. Bibliometric and science-mapping analyses were performed on 136 publications (2015–2026) retrieved from the Web of Science Core Collection. Using the Bibliometrix framework, we examined publication dynamics, collaboration networks, citation patterns, keyword co-occurrence, and thematic structures. The dataset comprised 136 publications, 6366 cited references, and 723 authors, with 54.41% international co-authorship. Logistic modeling described the accumulation of publications through 2025, identifying a growth inflection at 2022.54; a reliable saturation level could not be estimated because the 2026 data cover only a partial year. Document coupling resolved nine clusters dominated by soil–root interface processes (n = 51; 1358 citations) and plant–microbe interactions (n = 18; 895 citations). Thematic analysis positioned soil and rhizosheath as central domains and identified water stress as a key motor theme, whereas mucilage, hydraulic functioning, and microbiome assembly emerged as recent trends. Rhizosheath research is transitioning from descriptive characterization toward more integrated, mechanistic perspectives linking root traits, soil processes, and microbial dynamics. Progress will depend on resolving genotype × soil × microbiome interactions and advancing field-based cross-scale phenotyping to support climate-resilient cropping systems.
Full article
(This article belongs to the Special Issue Crop Microbiome and Stress: Interactions, Mechanisms, and Applications)
►▼
Show Figures

Figure 1
Open AccessReview
Fresh-Cut Potatoes: Current Challenges and Emerging Strategies for Quality Preservation and Shelf-Life Extension
by
Elisa Canazza, Dasha Mihaylova and Anna Lante
Agriculture 2026, 16(18), 1952; https://doi.org/10.3390/agriculture16181952 - 11 Sep 2026
Abstract
Fresh-cut potatoes are among the most widely consumed minimally processed vegetables owing to their convenience, versatility, and suitability as ready-to-cook products. However, the peeling and cutting operations required during processing inevitably disrupt tissue integrity, triggering a cascade of physiological, biochemical, and microbiological responses
[...] Read more.
Fresh-cut potatoes are among the most widely consumed minimally processed vegetables owing to their convenience, versatility, and suitability as ready-to-cook products. However, the peeling and cutting operations required during processing inevitably disrupt tissue integrity, triggering a cascade of physiological, biochemical, and microbiological responses that accelerate product deterioration during storage. Increased respiration, oxidative stress, enzymatic browning, moisture loss, texture degradation, metabolic reprogramming, nutrient depletion, and microbial proliferation collectively reduce sensory quality, consumer acceptance, and shelf life. This review comprehensively examines the biological mechanisms underlying these deterioration processes, with particular emphasis on wound-induced physiological responses, phenylpropanoid metabolism, enzymatic browning, cell wall remodelling, metabolic reprogramming, and microbial spoilage. It also critically discusses conventional and emerging preservation strategies, including refrigeration, packaging systems, edible coatings, natural preservatives, and non-thermal technologies, highlighting their mechanisms of action, advantages, limitations, and industrial applicability. Finally, this review identifies key knowledge gaps and future research priorities, emphasizing the need for integrated hurdle approaches that combine sustainable preservation technologies to enhance product quality, safety, shelf life, and resource use efficiency while meeting both consumer and industrial demands.
Full article
(This article belongs to the Special Issue Postharvest Technologies to Enhance Quality and Sensory Attributes of Fresh-Cut Products)
►▼
Show Figures

Figure 1
Open AccessReview
Application-Oriented Valorization Routes and Arrangements for Agro-Industrial Residues and By-Products: A Scoping Review Across Sectors and Application Scales
by
Jackson Epaminondas de Sousa, Marlene Evangelista Vieira, Diego José Araújo Bandeira, Julyana Carvalho Kluck Silva, Romeu Tavares Bandeira, Ágda Nara Tavares Bandeira, Agenor Sousa Santos Neto, Mila Façanha Gomes, Paulo Cesar dos Santos, Dalva Damiana Estevam da Silva, Karina Barbosa Xavier and Almy Junior Cordeiro de Carvalho
Agriculture 2026, 16(18), 1951; https://doi.org/10.3390/agriculture16181951 - 11 Sep 2026
Abstract
The valorization of agro-industrial residues and by-products can improve resource efficiency and circularity, but implementation depends on more than technical performance. This scoping review mapped application-oriented valorization routes, their distribution across sectors and scales, and the barriers, facilitators, gaps, and recommendations related to
[...] Read more.
The valorization of agro-industrial residues and by-products can improve resource efficiency and circularity, but implementation depends on more than technical performance. This scoping review mapped application-oriented valorization routes, their distribution across sectors and scales, and the barriers, facilitators, gaps, and recommendations related to implementation. Following Joanna Briggs Institute guidance and PRISMA-ScR, the Web of Science Core Collection was searched without publication-period or language restrictions. Thirty peer-reviewed studies published between 1996 and 2026 were included. Vegetable oils and oilseeds accounted for 40.0% of the studies, while industrial or plant-level applications represented 30.0%. Energy-based strategies were the most frequent (26.7%), followed by biological and chemical or physicochemical approaches (20.0% each). Implementation was influenced by residue characteristics, production processes, infrastructure, costs, logistics, coordination, regulation, and information availability. Six interconnected implementation domains were identified: technical and operational; economic and financial; logistical; organizational and governance; regulatory and institutional; and scale-up, limitations, and recommendations. The findings indicate that scale-up requires integration of technical, operational, logistical, economic, governance, and institutional conditions. An implementation-oriented perspective is provided to support future assessments, industrial planning, and policy decisions toward circular agro-industrial systems.
Full article
(This article belongs to the Section Agricultural Systems and Management)
►▼
Show Figures

Figure 1
Open AccessArticle
Optimizing Large-Scale Hot Water Treatment: Evaluating the Thermal Sensitivity of Pratylenchus penetrans and Heat Damage to Perilla frutescens and Two Widely Traded Ornamental Plants
by
Hwee-Seung Ji, Ga-Eul Lim, Asmar Soleymanzadeh, Dongbin Kim and Min-Goo Park
Agriculture 2026, 16(18), 1950; https://doi.org/10.3390/agriculture16181950 - 10 Sep 2026
Abstract
In East Asia, especially in South Korea, Perilla frutescens L. is widely cultivated for food and industrial uses. Root-lesion nematodes, particularly Pratylenchus penetrans Cobb, are significant pests in Korean perilla fields, leading to chlorosis, root necrosis, and decreased yields. This study examined the
[...] Read more.
In East Asia, especially in South Korea, Perilla frutescens L. is widely cultivated for food and industrial uses. Root-lesion nematodes, particularly Pratylenchus penetrans Cobb, are significant pests in Korean perilla fields, leading to chlorosis, root necrosis, and decreased yields. This study examined the effectiveness of hot-water treatment for controlling P. penetrans in P. frutescens under large-scale conditions at two different temperatures and durations. Additionally, because ornamental plants are often a main route for the international spread of quarantine plant-parasitic nematodes, two commonly traded ornamental species (Syngonium podophyllum L. and Schefflera arboricola L.) were examined alongside P. frutescens to assess how hot water treatment affected their health by measuring weight, chlorophyll content, and root length. Results indicated that the relative reduction in P. penetrans recovery was 99.66% at 48 °C for 20 min and 99.98% at 50 °C for 3 min. While some thermal damage was observed in P. frutescens following both treatments, exposing the plants to 50 °C for 3 min did not significantly affect the quality of S. podophyllum and S. arboricola. These results highlight that hot water treatment effectively controls plant-parasitic nematodes and maintains ornamental plant quality, which could aid in developing quarantine protocols for traded planting materials.
Full article
(This article belongs to the Section Crop Protection, Diseases, Pests and Weeds)
►▼
Show Figures

Graphical abstract
Journal Menu
► ▼ Journal Menu-
- Agriculture Home
- Aims & Scope
- Editorial Board
- Reviewer Board
- Topical Advisory Panel
- Early Career Editorial Board
- Instructions for Authors
- Special Issues
- Topics
- Sections
- Article Processing Charge
- Indexing & Archiving
- Editor’s Choice Articles
- Most Cited & Viewed
- Journal Statistics
- Journal History
- Journal Awards
- Conferences
- Editorial Office
Journal Browser
► ▼ Journal BrowserHighly Accessed Articles
Latest Books
E-Mail Alert
News
3 September 2026
Interview with Prof. Dr. Les Copeland, Editor-in-Chief of Agriculture—Celebrating the 15th Anniversary of the Journal
Interview with Prof. Dr. Les Copeland, Editor-in-Chief of Agriculture—Celebrating the 15th Anniversary of the Journal
1 September 2026
MDPI INSIGHTS: The CEO’s Letter #38 – 2 Million Published Articles, Outstanding Reviewers, Michele Parrinello Award, AIS 2026 & WSF-12
MDPI INSIGHTS: The CEO’s Letter #38 – 2 Million Published Articles, Outstanding Reviewers, Michele Parrinello Award, AIS 2026 & WSF-12
Topics
Topic in
Agronomy, Agriculture, Plants, Horticulturae, Crops, IJPB
Bridging Plant Biochemistry and Food Innovation: From Metabolic Stress to Functional Food
Topic Editors: Tomasz Piechowiak, Dagmara MigutDeadline: 15 September 2026
Topic in
Agriculture, Agronomy, Crops, Soil Systems, Agrochemicals
Soil Health and Nutrient Management for Crop Productivity
Topic Editors: Na Li, Dorcas H. FranklinDeadline: 30 September 2026
Topic in
Agriculture, Agronomy, Crops, Land, Plants, Sustainability
Irrigation and Fertilization Management for Sustainable Agricultural Production
Topic Editors: Shihong Yang, Zewei Jiang, Ivan Francisco Garcia TejeroDeadline: 15 October 2026
Topic in
Agriculture, Dairy, Poultry, Veterinary Sciences, Animals
Precision Feeding and Management of Farm Animals, 3rd Edition
Topic Editors: Manuel Gonzalez-Ronquillo, Marta I. Miranda Castañón, Einar Vargas-Bello-PérezDeadline: 31 October 2026
Conferences
Special Issues
Special Issue in
Agriculture
Crop Microbiome and Stress: Interactions, Mechanisms, and Applications
Guest Editors: Soon-Jae Lee, Li WangDeadline: 15 September 2026
Special Issue in
Agriculture
Integrated Nutrient Management Strategies for Enhancing Macronutrient Efficiency in Crop Production
Guest Editor: Elcio Ferreira Dos SantosDeadline: 15 September 2026
Special Issue in
Agriculture
Occurrence and Management Strategies of Mycotoxins in Cereals and Cereal Products
Guest Editor: Li YuDeadline: 15 September 2026
Special Issue in
Agriculture
Advances in Functional Genomics for Livestock Health, Production and Breeding
Guest Editors: Peter Dovč, Radovan KasardaDeadline: 15 September 2026




