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21 pages, 7859 KB  
Article
Arabinogalactan Proteins Mark the Generative Cell–Vegetative Cell Interface in Monocotyledonous Pollen Grains
by Małgorzata Kapusta, Magdalena Narajczyk and Bartosz J. Płachno
Cells 2025, 14(19), 1549; https://doi.org/10.3390/cells14191549 - 3 Oct 2025
Abstract
Arabinogalactan proteins (AGPs: hydroxyproline-rich glycoproteins) are ubiquitous in plants and play various functions in cases of development and reproduction. In Arabidopsis thaliana some AGPs can work as markers for gametophytic cell differentiation (among others embryological structures they mark generative cell wall and/or plasma [...] Read more.
Arabinogalactan proteins (AGPs: hydroxyproline-rich glycoproteins) are ubiquitous in plants and play various functions in cases of development and reproduction. In Arabidopsis thaliana some AGPs can work as markers for gametophytic cell differentiation (among others embryological structures they mark generative cell wall and/or plasma membrane, and also sperm cells). However, apart from Arabidopsis, this labeling of generative cell and sperm cells in pollen grains has only been observed in a few flowering plant species belonging to dicotyledons. No such studies are available in monocotyledons. The main aim of our study was to see whether AGPs would be present at the generative cell–vegetative cell interface in different monocotyledons (representatives of Asparagaceae, Amarylidaceae and Liliaceae), and we also wanted to test whether they would be the same AGPs as in dicotyledons. For the study, we selected Gagea lutea (L.) Ker Gawl., Ornithogalum nutans L. and Galanthus nivalis L. species that differ in shape and size of generative cells. Antibodies against arabinogalactan proteins AGPs were used, including JIM8, JIM13, JIM14, MAC207, LM2, LM14, JIM15 and JIM4. The localization of the examined compounds was determined using immunohistochemistry techniques. The key finding was that AGPs (detected with JIM8 and JIM13 antibodies) consistently mark the boundary between the generative cell and the surrounding vegetative cytoplasm, suggesting their association with the generative cell–vegetative cell interface in all species studied. Identifying such molecular markers in male gametophyte may enhance the understanding of gametophytic cell fate, sperm cell identity and the molecular mechanisms underlying fertilization. Such labeling may also be useful in studies on pollen development, species comparisons, or responses to environmental stresses. Full article
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17 pages, 1269 KB  
Review
Ethylene-Triggered Rice Root System Architecture Adaptation Response to Soil Compaction
by Yuxiang Li, Bingkun Ge, Chunxia Yan, Zhi Qi, Rongfeng Huang and Hua Qin
Agriculture 2025, 15(19), 2071; https://doi.org/10.3390/agriculture15192071 - 2 Oct 2025
Abstract
Soil compaction is a major constraint on global agriculture productivity. It disrupts soil structure, reduces soil porosity and fertility, and increases mechanical impedance, thereby restricting root growth and crop yield. Recent studies on rice (Oryza sativa) reveal that the phytohormone ethylene [...] Read more.
Soil compaction is a major constraint on global agriculture productivity. It disrupts soil structure, reduces soil porosity and fertility, and increases mechanical impedance, thereby restricting root growth and crop yield. Recent studies on rice (Oryza sativa) reveal that the phytohormone ethylene serves as a primary signal and functions as a hub in orchestrating root response to soil compaction. Mechanical impedance promotes ethylene biosynthesis and compacted soil impedes ethylene diffusion, resulting in ethylene accumulation in root tissues and triggering a complex hormonal crosstalk network to orchestrate root system architectural modification to facilitate plant adaptation to compacted soil. This review summarizes the recent advances on rice root adaptation response to compacted soil and emphasizes the regulatory network triggered by ethylene, which will improve our understanding of the role of ethylene in root growth and development and provide a pathway for breeders to optimize crop performance under specific agronomic conditions. Full article
23 pages, 12546 KB  
Article
Performance Evaluation of a UAV-Based Graded Precision Spraying System: Analysis of Spray Accuracy, Response Errors, and Field Efficacy
by Yang Lyu, Seung-Hwa Yu, Chun-Gu Lee, Pingan Wang, Yeong-Ho Kang, Dae-Hyun Lee and Xiongzhe Han
Agriculture 2025, 15(19), 2070; https://doi.org/10.3390/agriculture15192070 - 2 Oct 2025
Abstract
Advances in sensor technology have significantly improved the efficiency and precision of agricultural spraying. Unmanned aerial vehicles (UAVs) are widely utilized for applying plant protection products (PPPs) and fertilizers, offering enhanced spatial control and operational flexibility. This study evaluated the performance of an [...] Read more.
Advances in sensor technology have significantly improved the efficiency and precision of agricultural spraying. Unmanned aerial vehicles (UAVs) are widely utilized for applying plant protection products (PPPs) and fertilizers, offering enhanced spatial control and operational flexibility. This study evaluated the performance of an autonomous UAV-based precision spraying system that applies variable rates based on zone levels defined in a prescription map. The system integrates real-time kinematic global navigation satellite system positioning with a proximity-triggered spray algorithm. Field experiments on a rice field were conducted to assess spray accuracy and fertilization efficacy with liquid fertilizer. Spray deposition patterns on water-sensitive paper showed that the graded strategy distinguished among zone levels, with the highest deposition in high-spray zones, moderate in medium zones, and minimal in no-spray zones. However, entry and exit deviations—used to measure system response delays—averaged 0.878 m and 0.955 m, respectively, indicating slight lags in spray activation and deactivation. Fertilization results showed that higher application levels significantly increased the grain-filling rate and thousand-grain weight (both p < 0.001), but had no significant effect on panicle number or grain count per panicle (p > 0.05). This suggests that increased fertilization primarily enhances grain development rather than overall plant structure. Overall, the system shows strong potential to optimize inputs and yields, though UAV path tracking errors and system response delays require further refinement to enhance spray uniformity and accuracy under real-world applications. Full article
(This article belongs to the Special Issue Design and Development of Smart Crop Protection Equipment)
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14 pages, 1012 KB  
Article
Productivity and Forage Quality of Alfalfa Response to Potassium Fertilizer: A Field Study in Inner Mongolian Plateau
by Yuntao Wang, Lele Cui, Shenghao Liu, Wenxuan Li, Zhenyi Li, Wenxing Ye and Linqing Yu
Agronomy 2025, 15(10), 2328; https://doi.org/10.3390/agronomy15102328 - 1 Oct 2025
Abstract
The Inner Mongolian Plateau is a critical region for the development of herbivorous animal husbandry in China. However, its harsh climate and poor soil quality have constrained the sustainable growth of the alfalfa industry. This 3-year field study investigated the effects of potassium [...] Read more.
The Inner Mongolian Plateau is a critical region for the development of herbivorous animal husbandry in China. However, its harsh climate and poor soil quality have constrained the sustainable growth of the alfalfa industry. This 3-year field study investigated the effects of potassium (K) fertilizer on the productivity and forage quality of alfalfa (Medicago sativa L. cv. ‘WL168’) in such specific conditions of the region. Five rates of K fertilizer (0 (CK), 100, 200, 300, and 400 kg ha−1 of K2O) were applied in three split applications. Forage harvests occurred three times annually in 2023 and 2024, and yield, yield components, and forage quality were determined. The results showed that the forage yield of alfalfa increased initially and then decreased with the rising K application rates, which paralleled the changes in the plant density, and plant height, especially the mass shoot−1; forage yield was mainly correlated with mass shoot−1. Appropriate K fertilizer improved forage quality, especially in 2024. With increasing application, crude protein (CP) and total digestible nutrients (TDNs) first rose then declined, whereas neutral detergent fiber (NDF) and acid detergent fiber (ADF) decreased steadily, leading to a consistent rise in the relative feeding value (RFV). Comprehensively considering both yield and quality under such condition, a K fertilizer application rate of 273.2 kg ha−1 of K2O is suggested as a reference for this region. Full article
(This article belongs to the Special Issue Fertility Management for Higher Crop Productivity)
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23 pages, 2784 KB  
Article
Concentration-Dependent N-P Interactions Cause Organ-Specific Responses and Nutrient Allocation in Poplar Seedlings
by Xiaan Tang, Yi Zhang, Changhao Li, Xiaotan Zhi and Chunyan Wang
Plants 2025, 14(19), 3037; https://doi.org/10.3390/plants14193037 - 1 Oct 2025
Abstract
This study explores the complex regulatory mechanisms of nitrogen (N) and phosphorus (P) supply interactions on the growth, root architecture, and nutrient uptake of Populus × euramericana ‘Neva’ seedlings. It shows that these responses depend on nutrient concentrations and exhibit organ-specific patterns. Low [...] Read more.
This study explores the complex regulatory mechanisms of nitrogen (N) and phosphorus (P) supply interactions on the growth, root architecture, and nutrient uptake of Populus × euramericana ‘Neva’ seedlings. It shows that these responses depend on nutrient concentrations and exhibit organ-specific patterns. Low P (0 mM) and sufficient N (15–30 mM) enhances plant height and aboveground biomass by promoting P acquisition processes. At moderate N levels (5–15 mM), P supply is sufficient (0.5–1.5 mM) for root and stem growth. Nitrogen application prioritizes aboveground biomass, reducing the root-to-shoot ratio. Root architecture also responds organ-specifically: sufficient N under low P promotes fine root growth to increase P absorption; under moderate P (0.5 mM), balanced N optimizes branching; and under sufficient P (1.5 mM), N increases root thickness while reducing fine root investment. In terms of P metabolism, moderate N under low P increases P concentrations by upregulating phosphate transporter genes, while sufficient N maintains P use efficiency (PUE). For N metabolism, added P under low N (0 mM) maintains N use efficiency (NUE), while higher N levels (15–30 mM) reduce NUE due to interference in nitrogen transport and enzyme activity. This study highlights the importance of organ-specific resource allocation in adapting to N–P interactions and suggests optimizing fertilization strategies based on soil nutrient status to avoid physiological imbalance. Full article
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24 pages, 3611 KB  
Article
Population Genetics of the Emergence and Evolution of Allogenic Recognition During Fertilization
by Masahiro Naruse, Takako Saito and Midori Matsumoto
Biomolecules 2025, 15(10), 1397; https://doi.org/10.3390/biom15101397 - 30 Sep 2025
Abstract
Allorecognition, or distinguishing between the self and nonself within the same species, is observed in both animals and plants, particularly in the context of immune reactions and self-incompatibility in sexual reproduction. Polymorphic recognition molecules are known to be responsible for such allorecognition during [...] Read more.
Allorecognition, or distinguishing between the self and nonself within the same species, is observed in both animals and plants, particularly in the context of immune reactions and self-incompatibility in sexual reproduction. Polymorphic recognition molecules are known to be responsible for such allorecognition during fertilization. Previous studies have reported that in ascidians and flowering plants, inbreeding avoidance relies on a pair of polymorphic recognition molecules with a receptor-ligand relationship that are encoded at a single locus, the S locus (Self-incompatibility locus), but the process by which such pairs of recognition molecules emerge and evolve to become polymorphic is not known. Here, a population genetics study was carried out as a novel approach for investigating allorecognition. To study the process by which self-recognition emerges, we simulated a situation in which an allorecognizing genotype is generated from a nonallorecognizing genotype through mutation and then analyzed whether the two genotypes could coexist. The conditions under which the numbers of allorecognition alleles could increase over evolutionary time were investigated, and the generational dynamics of nonallorecognizing genotypes were analyzed. Subsequent modeling was carried out to reproduce the allorecognition mechanism in Ciona, and consistency between the simulation results and experimental data was observed. Our approach provides new insight into the evolutionary process of allorecognition. Full article
(This article belongs to the Special Issue Gametogenesis and Gamete Interaction, 2nd Edition)
16 pages, 1045 KB  
Article
Optimizing Resource Management with Organic Fertilizer and Microbial Inoculants to Enhance Soil Quality, Microbial Diversity, and Crop Productivity in Newly Cultivated Land
by Yuling Dai, Xiaoxiao Wu, Shuo Li, Yan Li, Lei Wang, Yu Hu, Kangmeng Liu, Zhenguo Yang, Lianfeng Cai, Kuifeng Xu, Meili Cui, Xuening Xu, Yuehui Jia, Dan Wei and Jianli Ding
Plants 2025, 14(19), 3032; https://doi.org/10.3390/plants14193032 - 30 Sep 2025
Abstract
In response to China’s drive to bring newly cultivated land into production, this study evaluated how combined organic fertilizer and microbial inoculants affect soil quality, bacterial community structure, and maize yield. Four treatments were evaluated: FC (chemical fertilizer only), T50 (50% organic fertilizer [...] Read more.
In response to China’s drive to bring newly cultivated land into production, this study evaluated how combined organic fertilizer and microbial inoculants affect soil quality, bacterial community structure, and maize yield. Four treatments were evaluated: FC (chemical fertilizer only), T50 (50% organic fertilizer + 50% chemical fertilizer), T50M (T50 plus microbial inoculant), and CK (no fertilizer). T50M significantly increased yield compared to FC and CK (p < 0.05), achieving the highest yield of 6995.73 kg ha−1. This was 20.09% greater than FC. Community composition analyses showed that soil in newly cultivated land was dominated by Blastocatellia, Vicinamibacteria, and Alphaproteobacteria, together accounting for over 35.7% of total bacterial abundance. Redundancy analysis at the class level explained 55.7% of variance; soil organic matter (SOM) and available potassium positively correlated with Alphaproteobacteria and Bacteroidia, while available phosphorus and nitrate nitrogen aligned with Actinobacteria and Bacilli. Path analysis indicated that SOM and total nitrogen were the strongest positive drivers of yield. Actinobacteria and Acidobacteriae also showed direct positive effects, whereas Verrucomicrobiae had a negative effect. These results demonstrate that integrated organic–microbial amendments can enhance soil fertility and alter microbial diversity toward taxa that can improve maize productivity. Full article
19 pages, 1489 KB  
Article
Methodological Study on Maize Water Stress Diagnosis Based on UAV Multispectral Data and Multi-Model Comparison
by Jiaxin Zhu, Sien Li, Wenyong Wu, Pinyuan Zhao, Xiang Ao and Haochong Chen
Agronomy 2025, 15(10), 2318; https://doi.org/10.3390/agronomy15102318 - 30 Sep 2025
Abstract
In response to water scarcity and low agricultural water-use efficiency in arid regions in Northwest China, this study conducted field experiments in Wuwei, Gansu Province, from 2023 to 2024. It aimed to develop a water stress diagnosis model for spring maize to provide [...] Read more.
In response to water scarcity and low agricultural water-use efficiency in arid regions in Northwest China, this study conducted field experiments in Wuwei, Gansu Province, from 2023 to 2024. It aimed to develop a water stress diagnosis model for spring maize to provide a scientific basis for precision irrigation and water management. In this work, two irrigation methods—plastic film-mulched drip irrigation (FD, where drip lines are laid on the soil surface and covered with film) and plastic film-mulched shallow-buried drip irrigation (MD, where drip lines are buried 3–7 cm below the surface under film)—were tested under five irrigation gradients. Multispectral UAV remote sensing data were collected from key growth stages (i.e., the jointing stage, the tasseling stage, and the grain filling stage). Then, vegetation indices were extracted, and the leaf water content (LWC) was retrieved. LWC inversion models were established using Partial Least Squares Regression (PLSR), Random Forest (RF), and Support Vector Regression (SVR). Different irrigation treatments significantly affected LWC in spring maize, with higher LWC under sufficient water supply. In the correlation analysis, plant height (hc) showed the strongest correlation with LWC under both MD and FD treatments, with R2 values of −0.87 and −0.82, respectively. Among the models tested, the RF model under the MD treatment achieved the highest prediction accuracy (training set: R2 = 0.98, RMSE = 0.01; test set: R2 = 0.88, RMSE = 0.02), which can be attributed to its ability to capture complex nonlinear relationships and reduce multicollinearity. This study can provide theoretical support and practical pathways for precision irrigation and integrated water–fertilizer regulation in smart agriculture, boasting significant potential for broader application of such models. Full article
(This article belongs to the Section Water Use and Irrigation)
29 pages, 2461 KB  
Review
From Infection to Infertility: Diagnostic, Therapeutic, and Molecular Perspectives on Postpartum Metritis and Endometritis in Dairy Cows
by Ramanathan Kasimanickam, Priunka Bhowmik, John Kastelic, Joao Ferreira and Vanmathy Kasimanickam
Animals 2025, 15(19), 2841; https://doi.org/10.3390/ani15192841 - 29 Sep 2025
Abstract
Postpartum uterine diseases such as metritis and endometritis impair reproductive performance and cause substantial economic losses in dairy cows worldwide. The multifactorial etiology, involving polymicrobial infections and complex host immune responses, poses diagnostic and therapeutic challenges. Traditional treatments rely on antibiotics, e.g., cephalosporins [...] Read more.
Postpartum uterine diseases such as metritis and endometritis impair reproductive performance and cause substantial economic losses in dairy cows worldwide. The multifactorial etiology, involving polymicrobial infections and complex host immune responses, poses diagnostic and therapeutic challenges. Traditional treatments rely on antibiotics, e.g., cephalosporins like ceftiofur and cephapirin, with broad-spectrum efficacy. However, emerging antimicrobial resistance, biofilm formation by pathogens such as Trueperella pyogenes, Fusobacterium necrophorum, and Escherichia coli, and bacterial virulence factors have reduced effectiveness of conventional therapies. Advances in systems biology, particularly proteomics, metabolomics, and microRNA (miRNA) profiling, have provided unprecedented insights into the molecular mechanisms underpinning uterine disease pathophysiology. Proteomic analyses reveal dynamic changes in inflammatory proteins and immune pathways, whereas metabolomics highlight shifts in energy metabolism and bacterial–host interactions. Furthermore, miRNAs have critical roles in post-transcriptional gene regulation affecting immune modulation, inflammation, and tissue repair, and also in modulating neutrophil function and inflammatory signaling. Uterine inflammation not only disrupts local tissue homeostasis but also compromises early embryo development by altering endometrial receptivity, cytokine milieu, and oocyte quality. Integration of multi-omics approaches, combined with improved diagnostics and adjunct therapies—including micronutrient supplementation and immunomodulators—offers promising avenues for enhancing disease management and fertility in dairy herds. This review synthesizes current knowledge on proteomics, metabolomics, and miRNAs in postpartum uterine diseases and highlights future directions for research and clinical applications. Full article
(This article belongs to the Section Animal Reproduction)
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18 pages, 1263 KB  
Article
Effects of Treated Wastewater Irrigation on Pastoral Plant Growth and Soil Properties in Al-Tamriat, Saudi Arabia
by Mosaed A. Majrashi, Zafer Alasmary, Sahar Ezzat, Hesham M. Ibrahim, Meshal Abdullah Harbi, Abdullah Abldubise and Abdulaziz G. Alghamdi
Processes 2025, 13(10), 3110; https://doi.org/10.3390/pr13103110 - 28 Sep 2025
Abstract
Water scarcity in arid regions has prompted the exploration of alternative irrigation sources, including treated wastewater, to support sustainable rangeland management. This study evaluated the effects of treated wastewater irrigation on the growth performance of native pastoral plants and soil chemical properties in [...] Read more.
Water scarcity in arid regions has prompted the exploration of alternative irrigation sources, including treated wastewater, to support sustainable rangeland management. This study evaluated the effects of treated wastewater irrigation on the growth performance of native pastoral plants and soil chemical properties in the Al-Tamriat area, Al-Jouf, Saudi Arabia. Four native species—Traganum nudatum (Aldamran), Atriplex leucoclada (Alrughal), Salsola villosa (Al-Rutha), and Ziziphus nummularia (Sidir)—were cultivated under two irrigation regimes: normal water and treated wastewater. In a 12-month period, plant morphological traits (plant height, stem diameter, and canopy width) were monitored monthly, alongside soil chemical properties (pH, electrical conductivity, total organic carbon, organic matter, available phosphorus, exchangeable potassium, and available nitrogen) assessed at two soil depths (0–20 cm and 20–40 cm). Results showed species-specific responses to irrigation water quality where Atriplex leucoclada and Ziziphus nummularia exhibited superior growth performance (average heights of 54.78 cm and 53.09 cm, respectively), compared to the Traganum nudatum and Salsola villosa. Overall, normal water irrigation promoted greater plant growth (mean height: 36.61 cm) compared to treated wastewater (29.60 cm), likely due to salinity stress. In contrast, soil fertility improved under both treatments, with total organic carbon increasing from 0.08 to 0.43% in the top layer (0–20 cm) and from 0.05 to 0.40% in the bottom layer (20–40 cm) after 12 months of experimentation. Statistical analysis (ANOVA, p < 0.05) revealed significant interactive effects between water type, species, and time on plant and soil variables. These findings illustrate the potential of using TW for rangeland irrigation, while also illustrating its potential to limit growth in sensitive species. The results emphasize the importance of choosing the right species and managing water quality when developing TW irrigation plans for arid rangelands. Full article
(This article belongs to the Section Environmental and Green Processes)
20 pages, 2038 KB  
Article
Unpacking the Trade-Offs: A Meta-Analysis of Soil Fertility, Crop Yield, and Greenhouse Gas Emissions Across Fertilizer Types (Organic, Mineral) and Cropping Systems
by Elnaz Amirahmadi and Mohammad Ghorbani
Plants 2025, 14(19), 3005; https://doi.org/10.3390/plants14193005 - 28 Sep 2025
Abstract
Different strategies are used in organic and conventional cultivation, which can significantly influence crop yield, greenhouse gas (GHG) emissions, and soil quality. However, the relative efficiency of these fertilization practices has not been systematically compared. The objective of this study was to evaluate [...] Read more.
Different strategies are used in organic and conventional cultivation, which can significantly influence crop yield, greenhouse gas (GHG) emissions, and soil quality. However, the relative efficiency of these fertilization practices has not been systematically compared. The objective of this study was to evaluate the impacts of organic, conventional, and semi-organic fertilization systems on soil properties, crop productivity, and GHG emissions through a comprehensive meta-analysis. The analysis showed that conventional systems had the highest increase in nitrous oxide (N2O) emissions (+62%), followed by semi-organic (+55%) and organic (+21%). Soil texture strongly influenced methane (CH4) and carbon dioxide (CO2) fluxes, with clay soils showing the highest CH4 response (+50%). Cropping practices such as intercropping and crop rotation enhanced soil nitrate availability (+18%), while vegetable and cereal systems improved crop yield by +29% and +19%, respectively. Importantly, semi-organic systems increased yield (+25%) while reducing greenhouse gas intensity (+13%), especially in cereals under intercropping. Integrating organic inputs into semi-organic systems, especially in cereal cultivation under intercropping practices, appears to reduce the carbon intensity per unit yield while maintaining productivity. These findings underscore the importance of context-specific management strategies to optimize agronomic performance and mitigate environmental impacts. Full article
(This article belongs to the Section Crop Physiology and Crop Production)
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15 pages, 4356 KB  
Article
Effects of Phosphorus Input on Rhizosphere Soil Respiration Rate and Microbial Community in Corn and Soybean
by Demin Rao, Yunlong Wang, Fangang Meng, Tong Cheng, Debin Yu, Jing Zhao, Qiang Qiu, Xiaoyan Yan, Wei Zhang and Hongyan Zhao
Agronomy 2025, 15(10), 2277; https://doi.org/10.3390/agronomy15102277 - 25 Sep 2025
Abstract
Phosphorus inputs play a critical role in modulating microbial dynamics in crop rhizosphere soils, yet their specific effects remain underexplored. This study investigated the impacts of P addition on soil respiration rates, enzyme activities, and microbial communities in maize and soybean rhizosphere soils [...] Read more.
Phosphorus inputs play a critical role in modulating microbial dynamics in crop rhizosphere soils, yet their specific effects remain underexplored. This study investigated the impacts of P addition on soil respiration rates, enzyme activities, and microbial communities in maize and soybean rhizosphere soils under a 20-year corn-soybean rotation system. Results demonstrated that P inputs significantly elevated rhizosphere soil respiration rates. In maize, LP treatment yielded the highest initial rate (3.2 times CK on day 0) and maximum rate (1.45 times CK), peaking early (days 0–4). In soybean, HP treatment produced the peak rate, occurring on day 4. Glucosidase activity increased under P treatments, with HP in maize showing values up to 1.5–2 times CK before day 8, and HP in soybean peaking at 1.2 times CK on day 8. Acid and neutral phosphatase activities generally declined initially, reflecting feedback inhibition, while alkaline phosphatase rose early. Microbial community structure shifted markedly. Key taxa like Reyranella and Luteimonas increased with P concentration, while Gp1 decreased. Correlation analysis indicated strong associations; e.g., Proteobacteria positively correlated with acid phosphatase and negatively with neutral phosphatase. These findings underscore the crop-specific responses of rhizosphere microbiomes to P inputs, informing targeted fertilization strategies for enhanced nutrient efficiency and sustainable agriculture. Full article
(This article belongs to the Section Soil and Plant Nutrition)
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28 pages, 1310 KB  
Review
Nitrogen Use Efficiency in Agriculture: Integrating Biotechnology, Microbiology, and Novel Delivery Systems for Sustainable Agriculture
by Bruno B. Navarro, Mauricio J. Machado and Antonio Figueira
Plants 2025, 14(19), 2974; https://doi.org/10.3390/plants14192974 - 25 Sep 2025
Abstract
Nitrogen (N) is the primary macronutrient that supports global agriculture. The Haber–Bosch process revolutionized the use of synthetic N fertilizers, enabling significant increases in crop yield. However, N losses from fertilization led to negative impacts on the environment. Improving crops’ N use efficiency [...] Read more.
Nitrogen (N) is the primary macronutrient that supports global agriculture. The Haber–Bosch process revolutionized the use of synthetic N fertilizers, enabling significant increases in crop yield. However, N losses from fertilization led to negative impacts on the environment. Improving crops’ N use efficiency (NUE) has been constrained by the limited understanding of N uptake and assimilation mechanisms, and the role of plant–microbe interactions. Among biological approaches, N fixation by cover crops and rhizobia symbioses represents a cornerstone strategy for improving NUE. The adoption of plant growth-promoting bacteria and arbuscular mycorrhizal fungi may enhance N acquisition by increasing root surface, modulating phytohormone levels, and facilitating nutrient transfer. Advances in plant molecular biology have identified key players and regulators of NUE (enzymes, transporters, and N-responsive transcription factors), which enhance N uptake and assimilation. Emerging biotechnological strategies include de novo domestication by genome editing of crop wild relatives to combine NUE traits and stress resilience back into domesticated cultivars. Additionally, novel fertilizers with controlled nutrient release and microbe-mediated nutrient mobilization, hold promise for synchronizing N availability with plant demand, reducing losses, and increasing NUE. Together, these strategies form a multidimensional framework to enhance NUE, mitigate environmental impacts, and facilitate the transition towards more sustainable agricultural systems. Full article
(This article belongs to the Special Issue Advances in Nitrogen Nutrition in Plants)
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24 pages, 6918 KB  
Article
Effects of Biofertilizer and Green Manure on Soil Bacterial Community in Korla Fragrant Pear Orchard
by Jie Li, Xing Shen, Bolang Chen, Zhanyi He, Linsen Yan, Lele Yang, Bangxin Ding and Zhongping Chai
Microorganisms 2025, 13(10), 2252; https://doi.org/10.3390/microorganisms13102252 - 25 Sep 2025
Abstract
The sustainability of Korla fragrant pear orchards has been increasingly threatened by prolonged intensive agricultural practices. In response, biofertilizers and green manures have gained attention due to their potential to enhance soil structure, activate microbial functions, and improve nutrient uptake. However, the dynamic [...] Read more.
The sustainability of Korla fragrant pear orchards has been increasingly threatened by prolonged intensive agricultural practices. In response, biofertilizers and green manures have gained attention due to their potential to enhance soil structure, activate microbial functions, and improve nutrient uptake. However, the dynamic changes in soil bacterial communities under such interventions remain inadequately understood. This study was conducted from 2022 to 2023 in 7- to 8-year-old Korla fragrant pear orchards in Bayin’guoleng Mongol Autonomous Prefecture, Xinjiang. The treatments included: conventional fertilization (CK), biofertilizer (JF), oil sunflowers (DK1) with 25 cm row spacing and a seeding rate of 27 kg·hm−2, oil sunflowers (DK2) with 25 cm row spacing and a seeding rate of 33 kg·hm−2, sweet clover (CM1) with 20 cm row spacing and a seeding rate of 21 kg·hm−2, and sweet clover (CM2) with 20 cm row spacing and a seeding rate of 27 kg·hm−2. During the 2023 pear season, soil samples from the 0–20 cm layer were collected at the fruit setting, expansion, and maturity stages. Their physical and chemical properties were analyzed, and the structure and diversity of the soil bacterial community were examined using 16S rRNA gene high-throughput sequencing. Fruit yield was assessed at the maturity stage. Compared to CK, the relative abundance of Actinobacteria increased by 101.00%, 38.99%, and 50.38% in the JF, DK2, and CM1 treatments, respectively. DK1 and CM1 treatments resulted in a 152.28% and 145.70% increase in the relative abundance of the taxon Subgroup_7, while JF and DK2 treatments enhanced the relative abundance of the taxon Gitt-GS-136 by 318.91% and 324.04%, respectively. The Chao1 index for CM2 was 18.76% higher than CK. LEfSe analysis showed that the DK2 and CM2 treatments had a more significant regulatory effect on bacterial community structure. All treatments led to higher fruit numbers and yield compared to CK, with JF showing the largest yield increase. Fertilizer type, soil nutrients, and bacterial community structure all significantly positively influenced pear yield. In conclusion, high-density oil sunflower planting is the most effective approach for maintaining soil microbial community stability, followed by low-density sweet clover. This study provides a systematic evaluation of the dynamic effects of bio-fertilizers and different green manure planting patterns on soil microbial communities in Korla fragrant pear orchards, presenting practical, microbe-based strategies for sustainable orchard management. Full article
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12 pages, 2443 KB  
Review
Functions of RNA N6-Methyladenosine Demethylases in Plant Development and Stress Responses
by Ran Su, Ying Cao, Wenjie Yu, Shanhua Lyu, Yinglun Fan and Haiyun Li
Agronomy 2025, 15(10), 2269; https://doi.org/10.3390/agronomy15102269 - 25 Sep 2025
Abstract
N6-methyladenosine (m6A), the most abundant internal modification in eukaryotic mRNA, regulates gene expression by modulating mRNA metabolism. Demethylases (“erasers”) specifically remove these m6A marks. In mammals, FTO and ALKBH5 (ALKBH family members) are key erasers regulating metabolism, [...] Read more.
N6-methyladenosine (m6A), the most abundant internal modification in eukaryotic mRNA, regulates gene expression by modulating mRNA metabolism. Demethylases (“erasers”) specifically remove these m6A marks. In mammals, FTO and ALKBH5 (ALKBH family members) are key erasers regulating metabolism, reproduction, and development. Notably, heterologous expression of human FTO in rice and potato significantly increase yield. In contrast, research on plant m6A demethylases is still in its infancy, though several ALKBH family members have been identified. These enzymes play crucial roles in regulating plant growth and development, as well as in mediating stress responses, highlighting their considerable potential in enhancing crop yield and improving agronomic traits. This review summarizes current knowledge on identified m6A demethylases, conducts a phylogenetic analysis of the ALKBH family across representative plant species, and elaborates on the roles of these enzymes in key biological processes such as flowering time regulation, fruit ripening, male fertility, and responses to both biotic and abiotic stresses. Further research on plant RNA m6A demethylases will deepen our understanding of RNA epigenetic regulatory mechanisms, uncover valuable genetic resources, and ultimately facilitate the breeding of high-yielding, high-quality crop varieties. Full article
(This article belongs to the Section Crop Breeding and Genetics)
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