Agronomy

15 pages, 677 KiB

Open AccessArticle

Effects of Conservation Tillage and Nitrogen Management on Yield, Grain Quality, and Weed Infestation in Winter Wheat

by Željko Dolijanović, Svetlana Roljević Nikolić, Srdjan Šeremešić, Danijel Jug, Milena Biljić, Stanka Pešić and Dušan Kovačević

Agronomy 2025, 15(7), 1742; https://doi.org/10.3390/agronomy15071742 (registering DOI) - 19 Jul 2025

Abstract

Choosing appropriate tillage methods and nitrogen application are important steps in the management of wheat production for obtaining high-yield and high-quality products, as well as managing the level of weed infestation. The aim of this research was to examine the impacts of three [...] Read more.

Choosing appropriate tillage methods and nitrogen application are important steps in the management of wheat production for obtaining high-yield and high-quality products, as well as managing the level of weed infestation. The aim of this research was to examine the impacts of three different tillage practices (conventional tillage—CT, mulch tillage—MT, and no tillage—NT), and two top dressing fertilization nitrogen levels (rational—60 kg ha⁻¹ and high—120 kg ha⁻¹) on the grain yield and quality of winter wheat, as well as on weed infestation. The present study was carried out in field experiments on chernozem luvic type soil at the Faculty of Agriculture Belgrade-Zemun Experimental field trial “Radmilovac”, in the growing seasons of 2020/2021–2022/2023. The C/N ratio in the soil was also assessed on all plots. The results showed that the number of weeds and their fresh and air-dry weights were higher on the MT and NT plots, compared to the CT plots. Therefore, the CT system has better effects on the yield (5.91 and 5.36 t ha⁻¹) and the protein content (13.3 and 13.1%). Furthermore, the grain weight per spike and the 1000-grain weight were higher in the wheat from the CT system (41.83 and 42.75 g) than from the MT (40.34 and 41.49 g) and NT (40.26 and 41.08 g) systems. Also, the crops from the CT system had higher values of grain density and grain uniformity compared to the crop from the MT and NT systems. Fertilization with a high nitrogen level (120 kg ha⁻¹) causes higher grain yield and more weediness compared with the rational level (60 kg ha⁻¹). Top dressing fertilization in each tillage system resulted in an increase in the number of weeds, but, at the same time, it also resulted in stronger competitive ability of the wheat crop against weeds. The most favorable C/N ratio occurred on the NT plots, and the least beneficial one on the CT ones. A correlation analysis showed strong negative correlations of number (r = −0.82) and fresh weed mass (r = −0.72) with yield. It is concluded that the conventional tillage practice with a low nitrogen dose manifests its superior performance in minimizing weed infestation and maximizing crop productivity. Full article

(This article belongs to the Section Innovative Cropping Systems)

17 pages, 1582 KiB

Open AccessArticle

Rare Earth Elements in Tropical Agricultural Soils: Assessing the Influence of Land Use, Parent Material, and Soil Properties

by Gabriel Ribeiro Castellano, Juliana Silveira dos Santos, Melina Borges Teixeira Zanatta, Rafael Souza Cruz Alves, Zigomar Menezes de Souza, Milton Cesar Ribeiro and Amauri Antonio Menegário

Agronomy 2025, 15(7), 1741; https://doi.org/10.3390/agronomy15071741 (registering DOI) - 19 Jul 2025

Abstract

Rare earth elements (REEs) are emerging soil contaminants due to increasing fertilizer use, mining activities, and technological applications. However, few studies have assessed their concentrations in soils or associated environmental risks. Here, we evaluate the influence of land cover types (Eucalyptus plantation, forest, [...] Read more.

Rare earth elements (REEs) are emerging soil contaminants due to increasing fertilizer use, mining activities, and technological applications. However, few studies have assessed their concentrations in soils or associated environmental risks. Here, we evaluate the influence of land cover types (Eucalyptus plantation, forest, and pasture), parent material, and soil physicochemical properties (predictor variables) on REE content in the Brazilian Atlantic Forest and measure pseudo-total REE content using inductively coupled plasma mass spectrometry (ICP-MS). Differences in REE content across land cover types, parent materials, and soil properties were assessed using similarity and variance analyses (ANOSIM, ANOVA, and Kruskal–Wallis) followed by post hoc tests (Tukey HSD and Dunn’s). We used model selection based on the Akaike criterion (ΔAICc < 2) to determine the influence of predictor variables on REE content. Our results showed that parent materials (igneous and metamorphic rocks) were the best predictors, yielding plausible models (Adj R² ≥ 0.3) for Y, δEu, and La_N/Sa_N. In contrast, Ca:Mg alone provided a plausible model (Adj R² = 0.15) for δCe anomalies, while clay content (Adj R² = 0.11) influenced the Sa_N/Yb_N ratio, though soil properties had weaker effects than parent materials. However, we found no evidence that Eucalyptus plantations or pastures under non-intensive management increase REE content in Brazilian Atlantic Forest soils. Full article

(This article belongs to the Special Issue Old Challenges and Modern Solutions in Farmland Soils: Addressing Heavy Metals, Microplastics, and GHG Emissions)

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19 pages, 3249 KiB

Open AccessArticle

Method and Optimization of Key Parameters of Soil Organic Matter Detection Based on Pyrolysis Coupled with Artificial Olfaction

by Mingwei Li, Xiao Li, Xuexun Li, Wenjun Wang, Yulong Chen, Long Zhou and Xiaomeng Xia

Agronomy 2025, 15(7), 1740; https://doi.org/10.3390/agronomy15071740 (registering DOI) - 19 Jul 2025

Abstract

Accurate quantification of soil organic matter (SOM) is crucial for improving soil fertility and maintaining ecosystem health. The content of SOM affects soil nutrient availability and is closely linked to the global carbon cycle. The use of an electronic nose to detect SOM [...] Read more.

Accurate quantification of soil organic matter (SOM) is crucial for improving soil fertility and maintaining ecosystem health. The content of SOM affects soil nutrient availability and is closely linked to the global carbon cycle. The use of an electronic nose to detect SOM contents has the advantages of rapidity, accuracy, and low pollution to the environment. This study proposes a method for obtaining SOM contents via pyrolysis coupled with an artificial olfaction system. To improve the accuracy of SOM content determination, the effects of three parameters (pyrolysis temperature, pyrolysis time, and soil sample mass) related to the pyrolysis process on the distinguishability of pyrolysis gases were investigated. Firstly, single-factor experiments were conducted to determine the optimal values of three parameters that can improve the differentiation of pyrolysis gases. Secondly, a regression model based on the Box–Behnken experiment was established to analyze the interrelationships between the three parameters and the discrete ratio. The experimental results showed that the three parameters exerted significant influences on the discrete ratio, with pyrolysis time having the greatest impact, followed by soil sample mass and pyrolysis temperature. The optimal discrimination and minimal dispersion ratio of the pyrolysis gases were achieved at a pyrolysis temperature of 384 °C, with a pyrolysis time of 2 min 41 s and a soil sample mass of 1.68 g. Finally, the Back-Propagation Neural Network (BPNN) and Partial Least-Squares Regression (PLSR) algorithms were used to establish an SOM prediction model after obtaining soil pyrolysis gases under the optimal combination of pyrolysis parameters. The experimental results demonstrated that the SOM prediction model based on PLSR achieved the best accuracy and the highest generalization capability, with R² > 0.85 and RMSE < 7.21. This study could provide a theoretical basis for the prediction of SOM contents via pyrolysis coupled with an artificial olfaction system. Full article

(This article belongs to the Special Issue A Model-Based Approach to Crop Yield Forecasting and Predictive Mapping of Soil Properties in Precision Agriculture)

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4 pages, 212 KiB

Open AccessEditorial

Biological Pest Control in Agroecosystems

by Dirceu Pratissoli

Agronomy 2025, 15(7), 1739; https://doi.org/10.3390/agronomy15071739 - 18 Jul 2025

Abstract

In recent decades, the intensification of agriculture, driven mainly by the use of agrochemicals, monocultures and intensive mechanization, has led to a substantial increase in global agricultural productivity [...] Full article

(This article belongs to the Special Issue Biological Pest Control in Agroecosystems)

21 pages, 1656 KiB

Open AccessArticle

Metabolomic Profiling of Desiccation Response in Recalcitrant Quercus acutissima Seeds

by Haiyan Chen, Fenghou Shi, Boqiang Tong, Yizeng Lu and Yongbao Shen

Agronomy 2025, 15(7), 1738; https://doi.org/10.3390/agronomy15071738 - 18 Jul 2025

Abstract

Quercus acutissima seeds exhibit high desiccation sensitivity, posing significant challenges for long-term preservation. This study investigates the physiological and metabolic responses of soluble osmoprotectants—particularly soluble proteins and proline—during the desiccation process. Seeds were sampled at three critical moisture content levels: 38.8%, 26.8%, and [...] Read more.

Quercus acutissima seeds exhibit high desiccation sensitivity, posing significant challenges for long-term preservation. This study investigates the physiological and metabolic responses of soluble osmoprotectants—particularly soluble proteins and proline—during the desiccation process. Seeds were sampled at three critical moisture content levels: 38.8%, 26.8%, and 14.8%, corresponding to approximately 99%, 52%, and 0% germination, respectively. We measured germination ability, soluble protein content, and proline accumulation, and we performed untargeted metabolomic profiling using LC-MS. Soluble protein levels increased early but declined later during desiccation, while proline levels continuously increased for sustained osmotic adjustment. Metabolomics analysis identified a total of 2802 metabolites, with phenylpropanoids and polyketides (31.12%) and lipids and lipid-like molecules (29.05%) being the most abundant. Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis showed that differentially expressed metabolites were mainly enriched in key pathways such as amino acid metabolism, energy metabolism, and nitrogen metabolism. Notably, most amino acids decreased in content, except for proline, which showed an increasing trend. Tricarboxylic acid cycle intermediates, especially citric acid and isocitric acid, showed significantly decreased levels, indicating energy metabolism imbalance due to uncoordinated consumption without effective replenishment. The reductions in key amino acids such as glutamic acid and aspartic acid further reflected metabolic network disruption. In summary, Q. acutissima seeds fail to establish an effective desiccation tolerance mechanism. The loss of soluble protein-based protection, limited capacity for proline-mediated osmotic regulation, and widespread metabolic disruption collectively lead to irreversible cellular damage. These findings highlight the inherent metabolic vulnerabilities of recalcitrant seeds and suggest potential preservation strategies, such as supplementing critical metabolites (e.g., TCA intermediates) during storage to delay metabolic collapse and mitigate desiccation-induced damage. Full article

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

21 pages, 820 KiB

Open AccessArticle

Variation in Leaf Morphology and Agronomic Attributes of A Naturalized Population of Medicago polymorpha L. (Burr Medic) from New South Wales, Australia, and Relationships with Climate and Soil Characteristics

by David L. Lloyd, John P. Thompson, Rick R. Young, Suzanne P. Boschma and Mark O’Neill

Agronomy 2025, 15(7), 1737; https://doi.org/10.3390/agronomy15071737 - 18 Jul 2025

Abstract

As one component of a study to improve Medicago spp. germplasm in eastern Australia, fifteen phenotypic and agronomic attributes were recorded for 4715 plants grown from the seed of 90 accessions of the widely naturalized pasture legume Medicago polymorpha from 90 sites in [...] Read more.

As one component of a study to improve Medicago spp. germplasm in eastern Australia, fifteen phenotypic and agronomic attributes were recorded for 4715 plants grown from the seed of 90 accessions of the widely naturalized pasture legume Medicago polymorpha from 90 sites in eight regions of inland New South Wales. The species expressed wide polymorphism. However, many leaflet attributes were associated with specific climate and soil characteristics, which varied from east to west across the collection zone. Discriminant analysis showed that accessions from the four most northern (summer dominant rainfall) and western (arid–semiarid) regions (Group A) differed from accessions from the most southern, temperate (winter dominant rainfall) and eastern (higher rainfall) regions (Group B). Group A flowered earlier and had shorter pod spines. Group B had lower plant vigor. Regions from which Group A accessions were collected had higher soil pH, lower winter rainfall, and higher minimum winter temperature than Group B regions. The diversity in the population, particularly the difference in flowering times among accessions collected from drier, warmer regions and those from more mesic, cooler regions, and the wide variation in flowering time measured among plants grown from accessions within all collection regions, is likely to ensure the long-term persistence of M. polymorpha in a changing climate. Elite lines were subsequently identified and lodged in National and International Genebanks for future research. Full article

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

19 pages, 1921 KiB

Open AccessArticle

Quantification of Microplastics in Urban Compost-Amended Farmland Soil Using an Elutriation Device

by Luigi Paolo D’Acqui, Sara Di Lonardo, Martina Grattacaso, Alessandra Bonetti and Ottorino-Luca Pantani

Agronomy 2025, 15(7), 1736; https://doi.org/10.3390/agronomy15071736 - 18 Jul 2025

Abstract

Microplastics (MPs) present in farmland soils, where urban compost has been distributed since 2005, were extracted using a device based on elutriation, a method developed for marine sediments but not yet used in soil. Since (i) fine earth (diameter < 2 mm) is [...] Read more.

Microplastics (MPs) present in farmland soils, where urban compost has been distributed since 2005, were extracted using a device based on elutriation, a method developed for marine sediments but not yet used in soil. Since (i) fine earth (diameter < 2 mm) is the standard fraction used for soil analysis and (ii) the size of MPs contained in urban compost may exceed that value, MP were recovered from both the entire soil and fine earth. The recovered MPs pieces were weighed, counted, and characterized using FTIR photoacoustic spectroscopy (FTIR-PAS). Both the mass and number of recovered MPs pieces (>34 µm) were comparable to those reported in the literature for soils. Polystyrene, polyethylene, and polypropylene are the primary polymers. Nevertheless, some issues were highlighted: (i) the importance of sampling the soil by volume, and (ii) the need of analyzing the entire soil sample rather than just the fraction below 2 mm, commonly used in soil analysis; (iii) the necessity of breaking up (i.e., by ultrasonication and/or dispersion) soil aggregates that may withstand the elutriation process. Full article

(This article belongs to the Section Agroecology Innovation: Achieving System Resilience)

22 pages, 2039 KiB

Open AccessArticle

Quality and Physiology of Selected Mentha Genotypes Under Coloured Shading Nets

by Charlotte Hubert-Schöler, Saskia Tsiaparas, Katharina Luhmer, Marcel D. Moll, Maike Passon, Matthias Wüst, Andreas Schieber and Ralf Pude

Agronomy 2025, 15(7), 1735; https://doi.org/10.3390/agronomy15071735 - 18 Jul 2025

Abstract

Improving the quality of compounds in medicinal and aromatic plants is crucial due to their uses in the pharmaceutical, cosmetics, and food sectors. One way of influencing plant composition is through exposure to different light conditions. Therefore, a two-year field study (2023–2024) was [...] Read more.

Improving the quality of compounds in medicinal and aromatic plants is crucial due to their uses in the pharmaceutical, cosmetics, and food sectors. One way of influencing plant composition is through exposure to different light conditions. Therefore, a two-year field study (2023–2024) was conducted to investigate the impact of coloured shading nets on the physiology, essential oil (EO) content, and composition of three Mentha genotypes: Mentha × piperita ‘Multimentha’, Mentha × piperita ‘Fränkische Blaue’, and Mentha rotundifolia ‘Apfelminze’. In addition to an unshaded control, the Mentha plants were grown under red and blue shading nets. Plant height and vegetation indices were collected weekly. Biomass accumulation, EO content, and composition were determined for each harvest. Both red and blue shading were found to influence the physiological responses and EO compositions of the plants, with red shading promoting slightly higher p-menthone levels in ‘Fränkische Blaue’ and ‘Multimentha’, while blue shading slightly increased carvone levels in ‘Apfelminze’. While EO content varied across harvest seasons (spring, summer, and autumn), ‘Fränkische Blaue’ responded to red shading, demonstrating an increased EO content. The findings suggest that targeted use of coloured shading nets can modulate EO quality. However, genotype-specific responses highlight the necessity of further research to define shading applications for different species and genotypes. Full article

(This article belongs to the Special Issue Cultivation and Utilization of Herbal and Aromatic Plants)

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19 pages, 3162 KiB

Open AccessArticle

Diversity and Functional Differences in Soil Bacterial Communities in Wind–Water Erosion Crisscross Region Driven by Microbial Agents

by Tao Kong, Tong Liu, Zhihui Gan, Xin Jin and Lin Xiao

Agronomy 2025, 15(7), 1734; https://doi.org/10.3390/agronomy15071734 - 18 Jul 2025

Abstract

Soil erosion-prone areas require effective microbial treatments to improve soil bacterial communities and functional traits. Understanding the driving effects of different microbial interventions on soil ecology is essential for restoration efforts. Single and combined microbial treatments were applied to soil. Bacterial community structure [...] Read more.

Soil erosion-prone areas require effective microbial treatments to improve soil bacterial communities and functional traits. Understanding the driving effects of different microbial interventions on soil ecology is essential for restoration efforts. Single and combined microbial treatments were applied to soil. Bacterial community structure was analyzed via 16S IRNA high-throughput sequencing, and functional groups were predicted using FAPROTAX. Soil microbial carbon, nitrogen, metabolic entropy, and enzymatic activity were assessed. Microbial Carbon and Metabolic Activity: The Arbuscular mycorrhizal fungi (AMF) and Bacillus mucilaginosus (BM) (AMF.BM) treatment exhibited the highest microbial carbon content and the lowest metabolic entropy. The microbial carbon-to-nitrogen ratio ranged from 1.27 to 3.69 across all treatments. Bacterial Community Composition: The dominant bacterial phyla included Firmicutes, Proteobacteria, Acidobacteria, Bacteroidetes, and Actinobacteria. Diversity and Richness: The AMF and Trichoderma harzianum (TH) (AMF.TH) treatment significantly reduced diversity, richness, and phylogenetic diversity indices, while the AMF.BM treatment showed a significantly higher richness index (p < 0.05). Relative Abundance of Firmicutes: Compared to the control, the AMF, TH.BM, and TH treatments decreased the relative abundance of Firmicutes, whereas the AMF.TH treatment increased their relative abundance. Environmental Correlations: Redundancy and correlation analyses revealed significant correlations between soil organic matter, magnesium content, and sucrase activity and several major bacterial genera. Functional Prediction: The AMF.BM treatment enhanced the relative abundance and evenness of bacterial ecological functions, primarily driving nitrification, aerobic ammonia oxidation, and ureolysis. Microbial treatments differentially influence soil bacterial communities and functions. The AMF.BM combination shows the greatest potential for ecological restoration in erosion-prone soils. Full article

(This article belongs to the Section Agroecology Innovation: Achieving System Resilience)

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13 pages, 1768 KiB

Open AccessArticle

Insecticidal Effect of Lemongrass Essential Oil Against Megalurothrips usitatus (Bagnall)

by Yun Han, Ming Zhu, Bo Qiu, Shaukat Ali and Jianhui Wu

Agronomy 2025, 15(7), 1733; https://doi.org/10.3390/agronomy15071733 - 18 Jul 2025

Abstract

Megalurothrips usitatus is a global pest damaged legume crops, particularly cowpea (Vigna unguiculata). This study aimed to determine the chemical composition of lemongrass essential oil (LEO) and its insecticidal activity against the insect pest M. usitatus. The composition of lemongrass [...] Read more.

Megalurothrips usitatus is a global pest damaged legume crops, particularly cowpea (Vigna unguiculata). This study aimed to determine the chemical composition of lemongrass essential oil (LEO) and its insecticidal activity against the insect pest M. usitatus. The composition of lemongrass essential oil was analyzed using Gas Chromatography Mass Spectrometry (GC-MS). D-limonene, Neral, and Citral were found to constitute over 30% of the essential oil. LEO exhibited higher insecticidal toxicity than the individual pure components. Based on our results, the optimal formulation of LEO emulsifiable concentrates (ECs) was identified, and their insecticidal activity was further investigated. The mortality rate induced by the LEO did not significantly differ from that of the emamectin benzoate (EB) formulation but was lower than that of spinosad (SP). Additionally, LEO was shown to act as a synergist when combined with EB for controlling M. usitatus. This research offers an alternative strategy for controlling M. usitatus and reducing the reliance on synthetic pesticides. Full article

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

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35 pages, 3909 KiB

Open AccessReview

Pollen–Pistil Interaction During Distant Hybridization in Plants

by Ekaterina V. Zakharova, Alexej I. Ulianov, Yaroslav Yu. Golivanov, Tatiana P. Molchanova, Yuliya V. Orlova and Oksana A. Muratova

Agronomy 2025, 15(7), 1732; https://doi.org/10.3390/agronomy15071732 - 18 Jul 2025

Abstract

A combination of high potential productivity and ecological stability is essential for current cultivars, which is achievable by breeding. Interspecific/intergeneric hybridization remains a key approach to producing new high-yielding and resistant cultivars. Interspecific reproductive barriers (IRBs) appear in the interaction between the pollen [...] Read more.

A combination of high potential productivity and ecological stability is essential for current cultivars, which is achievable by breeding. Interspecific/intergeneric hybridization remains a key approach to producing new high-yielding and resistant cultivars. Interspecific reproductive barriers (IRBs) appear in the interaction between the pollen and pistil of interspecific/intergeneric hybrids. The mechanisms underlying these hybridization barriers are to a considerable degree unknown. The pollen–pistil interaction is decisive because the pollen of distantly related plant species either is not recognized by stigma cells or is recognized as foreign, preventing pollen tube (PT) germination and/or penetration into the stigma/style/ovary. This review mainly focuses on (1) the pollen–pistil system; (2) IRB classification; (3) similarity and differences in the function of self-incompatibility (SI) barriers and IRBs; and (4) physiological and biochemical control of IRBs and their overcoming. The main goal is to illuminate the physiological, biochemical, and molecular mechanisms underlying the growth arrest of incompatible PTs and their death. In general, this review consolidates the current understanding of the interaction of the male gametophyte with the sporophyte tissues of the pistil and outlines future research directions in the area of plant reproductive biology. Full article

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

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13 pages, 266 KiB

Open AccessArticle

Influence of Virginia Market-Type Cultivar and Fungicide Regime on Leaf Spot Disease and Peanut Yield in North Carolina

by Ethan Foote, David Jordan, LeAnn Lux, Jeffrey Dunne and Adrienne Gorny

Agronomy 2025, 15(7), 1731; https://doi.org/10.3390/agronomy15071731 - 18 Jul 2025

Abstract

Determining the effectiveness of fungicide programs based on cultivar resistance to pathogens, especially late leaf spot (caused by Nothopassalora personata (Berk. & M.A. Curtis) [U. Braun, C. Nakash., Videira & Crous]) is important in establishing recommendations to peanut (Arachis hypogaea L.) farmers. [...] Read more.

Determining the effectiveness of fungicide programs based on cultivar resistance to pathogens, especially late leaf spot (caused by Nothopassalora personata (Berk. & M.A. Curtis) [U. Braun, C. Nakash., Videira & Crous]) is important in establishing recommendations to peanut (Arachis hypogaea L.) farmers. Research was conducted in North Carolina during 2021 and 2022 at three locations to compare the incidence of late leaf spot (e.g., visual estimates of percent of peanut leaflets with lesions), percentage of the peanut canopy defoliated caused by this disease, and yield of the peanut cultivars Bailey II, Emery, and Sullivan when exposed to five fungicide regimens including a non-treated control. Peanut yield was not affected by the interaction of cultivar × fungicide regimens. While differences in leaf spot incidence and canopy defoliation were noted for cultivars, these differences did not translate into differences in peanut yield. All fungicides regimens protected peanut yield from leaf spot disease regardless of the number of sprays during the cropping cycle (e.g., three, four, or five sprays). Peanut yield in the absence of fungicides was 4410 kg/ha compared with a range of 5000 to 5390 kg/ha when fungicides were applied. Peanut yield was greater when fungicides were applied four or five times compared with only three sprays or non-treated peanut. The regimen with five consecutive sprays of chlorothalonil alone for the first and final spray in the regimen and when this fungicide was applied with tebuconazole for the second, third, and fourth sprays was as effective as fungicide regimens including combinations of pydiflumetofen plus azoxystrobin plus benzovindiflupyr, mefentrifluconazole plus pyraclostrobin plus fluxapyroxad, bixafen plus flutriafol, and prothioconazole plus tebuconazole. Full article

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

16 pages, 1111 KiB

Open AccessArticle

Improvement of Bacillus thuringiensis Protein Contents with Increased Nitrogen Fertilizer Application in Gossypium hirsutum

by Yuting Liu, Fuqin Zhou, Mao Hong, Shaoyang Wang, Yuan Li, Shu Dong, Yuan Chen, Dehua Chen and Xiang Zhang

Agronomy 2025, 15(7), 1730; https://doi.org/10.3390/agronomy15071730 - 18 Jul 2025

Abstract

The insect resistance expression of Bacillus thuringiensis (Bt) cotton (Gossypium hirsutum L.) is unstable due to temporal and spatial variations in the Bt protein content in different organs and growth stages. The aim of this study was to improve the Bt protein [...] Read more.

The insect resistance expression of Bacillus thuringiensis (Bt) cotton (Gossypium hirsutum L.) is unstable due to temporal and spatial variations in the Bt protein content in different organs and growth stages. The aim of this study was to improve the Bt protein content in cotton flowers and investigate the underlying physiological mechanism using biochemical analytical methods. In this study, a split-plot design with three replications was used. The main plots included two Bt cotton cultivars (a conventional cultivar, Sikang1 (S1), and a hybrid cultivar, Sikang3 (S3)), while five soil nitrogen application levels (CK (control check): normal level; N1: 125% of the CK; N2: 150% of the CK; N3: 175% of the CK; N4: 200% of the CK) constituted the subplots. The Bt protein content and related nitrogen metabolism parameters were measured. We found that the Bt protein content increased and then decreased with increasing nitrogen rates. It reached its maximum at N3, with significant increases of 71.86% in 2021 and 39.36% in 2022 compared to the CK. Correlation analysis indicated that the Bt protein content was significantly positively related to the soluble protein and free amino acid contents, as well as the GPT (glutamic pyruvic transaminase), GOT (glutamic oxaloacetic transaminase), GS (glutamine synthetase) and GOGAT (glutamate synthetase) activities. On the other hand, negative correlations were found between the Bt protein content and protease and peptidase activities. In addition, stepwise regression and path analysis indicated that the increased Bt protein content was mainly due to the enhanced GS and GOGAT activities. In summary, appropriately increasing nitrogen fertilizer application is a practical way to increase flower Bt protein content and insecticidal efficacy of Bt cotton. These findings provide an actionable agronomic strategy for sustaining Bt expression during the critical flowering period. Full article

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

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24 pages, 9664 KiB

Open AccessArticle

Frequency-Domain Collaborative Lightweight Super-Resolution for Fine Texture Enhancement in Rice Imagery

by Zexiao Zhang, Jie Zhang, Jinyang Du, Xiangdong Chen, Wenjing Zhang and Changmeng Peng

Agronomy 2025, 15(7), 1729; https://doi.org/10.3390/agronomy15071729 - 18 Jul 2025

Abstract

In rice detection tasks, accurate identification of leaf streaks, pest and disease distribution, and spikelet hierarchies relies on high-quality images to distinguish between texture and hierarchy. However, existing images often suffer from texture blurring and contour shifting due to equipment and environment limitations, [...] Read more.

In rice detection tasks, accurate identification of leaf streaks, pest and disease distribution, and spikelet hierarchies relies on high-quality images to distinguish between texture and hierarchy. However, existing images often suffer from texture blurring and contour shifting due to equipment and environment limitations, which affects the detection performance. In view of the fact that pests and diseases affect the whole situation and tiny details are mostly localized, we propose a rice image reconstruction method based on an adaptive two-branch heterogeneous structure. The method consists of a low-frequency branch (LFB) that recovers global features using orientation-aware extended receptive fields to capture streaky global features, such as pests and diseases, and a high-frequency branch (HFB) that enhances detail edges through an adaptive enhancement mechanism to boost the clarity of local detail regions. By introducing the dynamic weight fusion mechanism (CSDW) and lightweight gating network (LFFN), the problem of the unbalanced fusion of frequency information for rice images in traditional methods is solved. Experiments on the 4× downsampled rice test set demonstrate that the proposed method achieves a 62% reduction in parameters compared to EDSR, 41% lower computational cost (30 G) than MambaIR-light, and an average PSNR improvement of 0.68% over other methods in the study while balancing memory usage (227 M) and inference speed. In downstream task validation, rice panicle maturity detection achieves a 61.5% increase in mAP50 (0.480 → 0.775) compared to interpolation methods, and leaf pest detection shows a 2.7% improvement in average mAP50 (0.949 → 0.975). This research provides an effective solution for lightweight rice image enhancement, with its dual-branch collaborative mechanism and dynamic fusion strategy establishing a new paradigm in agricultural rice image processing. Full article

(This article belongs to the Collection AI, Sensors and Robotics for Smart Agriculture)

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13 pages, 1829 KiB

Open AccessArticle

The Use of Clove and Rosemary Plant Extracts Against Colletotrichum acutatum and Botrytis cinerea

by Vytautas Bunevičius, Armina Morkeliūnė, Justina Griauzdaitė, Alma Valiuškaitė and Neringa Rasiukevičiūtė

Agronomy 2025, 15(7), 1728; https://doi.org/10.3390/agronomy15071728 - 17 Jul 2025

Abstract

Horticulture and agriculture are facing the challenge of growing healthy and high-quality crops. Plant extracts are currently being widely investigated as an alternative means of plant protection. Interest in these measures has increased in order to reduce the use of chemical pesticides, environmental [...] Read more.

Horticulture and agriculture are facing the challenge of growing healthy and high-quality crops. Plant extracts are currently being widely investigated as an alternative means of plant protection. Interest in these measures has increased in order to reduce the use of chemical pesticides, environmental pollution, and adverse effects on human health. Also, due to the goals of the European Green Deal and the decreasing use of chemical pesticides, it has become essential to look for safer alternatives. The aim of this study was to investigate the inhibitory effect of plant extracts of clove (Syzygium aromaticum L.) and rosemary (Rosmarinus officinalis L.) against Colletotrichum acutatum and Botrytis cinerea plant pathogens and to evaluate fungal pathogens recovery after the exposure to the extract. The plant extracts (PEs) were obtained by subcritical CO₂ extraction. The inhibitory effect of PEs was investigated in vitro at concentrations of 1200, 1600, 2000, 2400, 2800, and 3000 μL/L. Petri dishes were incubated at 25 ± 2 °C, and the mycelial growth of fungal pathogens was evaluated at 2, 4, and 7 days after inoculation (DAI). Reinoculation was then performed. The research showed that both plant extracts had an antifungal effect. However, clove PE was more effective. This allows us to say that plant-based measures can inhibit plant pathogens, but it is essential to determine the optimal concentrations and test them with different pathogens. Full article

(This article belongs to the Special Issue Advancing Sustainable Agriculture: Biopesticides and the Biological Control for Pest Management)

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22 pages, 4888 KiB

Open AccessArticle

The Combined Effects of Irrigation, Tillage and N Management on Wheat Grain Yield and Quality in a Drought-Prone Region of China

by Ming Huang, Ninglu Xu, Kainan Zhao, Xiuli Huang, Kaiming Ren, Yulin Jia, Shanwei Wu, Chunxia Li, Hezheng Wang, Guozhan Fu, Youjun Li, Jinzhi Wu and Guoqiang Li

Agronomy 2025, 15(7), 1727; https://doi.org/10.3390/agronomy15071727 - 17 Jul 2025

Abstract

With the swift progression of the High-Standard Farmland Construction Program in China and worldwide, many dryland wheat fields can be irrigated once during the wheat growth stage (one-off irrigation). However, the combined strategies of one-off irrigation, tillage, and N management for augmenting wheat [...] Read more.

With the swift progression of the High-Standard Farmland Construction Program in China and worldwide, many dryland wheat fields can be irrigated once during the wheat growth stage (one-off irrigation). However, the combined strategies of one-off irrigation, tillage, and N management for augmenting wheat grain yield and quality are still undeveloped in drought regions. Two-site split–split field experiments were conducted to study the impacts of irrigation, tillage, and N management and their combined effects on grain yield; the contents of protein and protein components; processing quality; and the characteristics of N accumulation and translocation in wheat from a typical dryland wheat production area in China from 2020 to 2022. The irrigation practices (I0, zero irrigation and I1, one-off irrigation), tillage methods (RT, rotary tillage; PT, plowing; and SS, subsoiling) and N management (N0, N120, N180, and N240) were applied to the main plots, subplots and sub-subplots, respectively. The experimental sites, experimental years, irrigation practices, tillage methods, and N management methods and their interaction significantly affected the yield, quality, and plant N characteristics of wheat in most cases. Compared to zero irrigation, one-off irrigation significantly increased the plant N accumulation, enhancing grain yield by 33.7% while decreasing the contents of total protein, albumin, globulin, gliadin, and glutenin by 4.4%, 6.4%, 8.0%, 12.2%, and 10.0%, respectively. It also decreased the wet gluten content, stability time, sedimentation value, extensibility by 4.1%, 10.7%, 9.7%, and 5.5%, respectively, averaged across sites and years. Subsoiling simultaneously enhanced the aforementioned indicators compared to rotary tillage and plowing in most sites and years. With the increase in N rates, wheat yield firstly increased and then decreased under zero irrigation combined with rotary tillage, while it gradually increased when one-off irrigation was combined with subsoiling; however, the contents of total protein and protein components and the quality tended to increase firstly and then stabilize regardless of irrigation practices and tillage methods. The correlations of yield and quality indicators with plant N characteristics were negative when using distinct irrigation practices and tillage methods, while they were positive under varying N management. The decrease in wheat quality induced by one-off irrigation could be alleviated by optimizing N management. I1STN180 exhibited higher yield, plant N accumulation and translocation, and better quality in most cases; thus, all metrics of wheat quality were significantly increased, with a yield enhancement of 50.3% compared to I0RTN180. Therefore, one-off irrigation with subsoiling and an N rate of 180 kg ha⁻¹ is an optimal strategy for high yield, high protein, and high quality in dryland wheat production systems where one-off irrigation is assured. Full article

(This article belongs to the Topic High-Efficiency Utilization of Water-Fertilizer Resources and Green Production of Crops)

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21 pages, 4501 KiB

Open AccessArticle

Functional Characterization of Dual-Initiation Codon-Derived V2 Proteins in Tomato Yellow Leaf Curl Virus

by Zhiyuan Wang, Pan Gong, Siwen Zhao, Fangfang Li and Xueping Zhou

Agronomy 2025, 15(7), 1726; https://doi.org/10.3390/agronomy15071726 - 17 Jul 2025

Abstract

Tomato yellow leaf curl virus (TYLCV) is a highly destructive pathogen of global tomato crops. The open reading frame (ORF) of TYLCV V2 contains two initiation codons (ATG1/V2-1 and ATG2/V2-2), producing distinct protein isoforms. Using custom antibodies, we confirmed V2-1 [...] Read more.

Tomato yellow leaf curl virus (TYLCV) is a highly destructive pathogen of global tomato crops. The open reading frame (ORF) of TYLCV V2 contains two initiation codons (ATG1/V2-1 and ATG2/V2-2), producing distinct protein isoforms. Using custom antibodies, we confirmed V2-1 and V2-2 expression in infected Nicotiana benthamiana and tomato plants. Deletion mutants revealed their specialized roles: V2-1 was indispensable for viral replication and systemic spread—its loss severely reduced pathogenicity and genome accumulation. V2-2 acted as an auxiliary factor, and its deletion attenuated symptoms but kept the virus infection. Host-specific effects were observed—V2-1 deletion led to lower viral DNA/coat protein levels in N. benthamiana than in tomato, suggesting host-dependent regulation. Mutant viruses declined progressively in tomato, indicating host defense clearance. Heterologous co-expression of both isoforms via potato virus X induced systemic necrosis in N. benthamiana, demonstrating functional synergy between isoforms. Both initiation codons were essential for V2-mediated suppression of transcriptional gene silencing (TGS) and post-transcriptional gene silencing (PTGS). This study uncovers the mechanistic divergence of V2 isoforms in TYLCV infection, highlighting their collaborative roles in virulence and host manipulation. The findings advance understanding of geminivirus coding complexity and offer potential targets for resistance strategies. Full article

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

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24 pages, 1976 KiB

Open AccessArticle

The Efficacy of Pre-Emergence Herbicides Against Dominant Soybean Weeds in Northeast Thailand

by Ultra Rizqi Restu Pamungkas, Sompong Chankaew, Nakorn Jongrungklang, Tidarat Monkham and Santimaitree Gonkhamdee

Agronomy 2025, 15(7), 1725; https://doi.org/10.3390/agronomy15071725 - 17 Jul 2025

Abstract

Soybean production in Thailand faces significant challenges from malignant weed competition, potentially reducing yields by up to 37% and incurring annual economic losses of approximately USD 3.8 billion. Pre-emergence herbicides are critical for integrated weed management, but their efficacy varies depending on local [...] Read more.

Soybean production in Thailand faces significant challenges from malignant weed competition, potentially reducing yields by up to 37% and incurring annual economic losses of approximately USD 3.8 billion. Pre-emergence herbicides are critical for integrated weed management, but their efficacy varies depending on local conditions and soybean varieties. This study evaluates the performance of three pre-emergence herbicides, pendimethalin (1875 g a.i. ha⁻¹), s-metolachlor (900 g a.i. ha⁻¹), and flumioxazin (125 g a.i. ha⁻¹), on weed control efficiency (WCE), soybean growth, phytotoxicity, and yield in Northeast Thailand using a randomised complete block design with two varieties (CM60 and Morkhor60) across rainy (2023) and dry (2024/2025) seasons. Herbicide performance varied seasonally: s-metolachlor showed optimal rainy season results (61.54% weed control efficiency at 63 days after herbicide application (DAA), with a yield of 1036 kg ha⁻¹), while flumioxazin excelled in dry conditions (64.32% WCE, <4% phytotoxicity, and 1243 kg ha⁻¹ yield). Pendimethalin performed poorly under wet conditions but improved in drier weather. Among five dominant weed species, Cyperus rotundus proved the most resilient. CM60 demonstrated superior herbicide tolerance and yield stability, particularly under rainy conditions. These results emphasise that season-specific herbicide selection and variety matching are crucial for herbicide resistance management and effective weed control in Thailand’s rainfed soybean systems. Full article

(This article belongs to the Special Issue Recent Advances in Legume Crop Protection)

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16 pages, 2035 KiB

Open AccessArticle

Optimizing Sunflower Cultivar Selection Under Climate Variability: Evidence from Coupled Meteorological-Growth Modeling in Arid Northwest China

by Jianguo Mu, Jianqin Wang, Ruiying Ma, Zengshuai Lv, Hongye Dong, Yantao Liu, Wei Duan, Shengli Liu, Peng Wang and Xuekun Zhang

Agronomy 2025, 15(7), 1724; https://doi.org/10.3390/agronomy15071724 - 17 Jul 2025

Abstract

Under the scenario of global climate warming, meteorological risks affecting sunflower cultivation in Xinjiang’s 10th Division were investigated by developing a meteorological-growth coupling model. Field experiments were conducted at three representative stations (A1–A3) during 2023–2024 to assess temperature and precipitation impacts on yield [...] Read more.

Under the scenario of global climate warming, meteorological risks affecting sunflower cultivation in Xinjiang’s 10th Division were investigated by developing a meteorological-growth coupling model. Field experiments were conducted at three representative stations (A1–A3) during 2023–2024 to assess temperature and precipitation impacts on yield and quality traits among sunflower cultivars with varying maturation periods. The main findings were: (1) Early-maturing cultivar B1 (RH3146) exhibited superior adaptation at low-temperature station A1, achieving 12% higher plant height and an 18% yield increase compared to regional averages. (2) At thermally variable station A2 (daily average temperature fluctuation ± 8 °C, precipitation CV = 25%), the late-maturing cultivar B3 showed enhanced stress resilience, achieving 35.6% grain crude fat content (15% greater than mid-maturing B2) along with 8–10% increases in seed setting rate and 100-grain weight. These improvements were potentially due to optimized photoassimilated allocation and activation of stress-responsive genes. (3) At station A3, characterized by high thermal-humidity variability (CV > 15%) during grain filling, B3 experienced a 15-day delay in maturation and a 3% reduction in ripeness. Two principal mitigation strategies are recommended: preferential selection of early-to-mid maturing cultivars in regions with thermal-humidity CV > 10%, improving yield stability by 23%, and optimization of sowing schedules based on accumulated temperature-precipitation modeling, reducing meteorological losses by 15%. These evidence-based recommendations provide critical insights for climate-resilient cultivar selection and precision agricultural management in meteorologically vulnerable agroecosystems. Full article

(This article belongs to the Section Agroecology Innovation: Achieving System Resilience)

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