Plant and Soil最新文献

{"title":"Peony multi-mode vibration seedling separation mechanism and experimental study","authors":"ZhengDuo Liu, Yourui Huang, Binjun Zhou, Dong Xu","doi":"10.1007/s11104-025-07424-4","DOIUrl":"https://doi.org/10.1007/s11104-025-07424-4","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Background and aims</h3><p>Manual separation of bare seedlings for peony planting is a challenging issue in the industry due to high labor consumption and low productivity. The study focuses on the interaction relationships between seedling-seedling and mechanism-seedling as well as the separation mechanism within a vibration field, aiming to provide new ideas for automated peony transplanting.</p><h3 data-test=\"abstract-sub-heading\">Methods</h3><p>Firstly, based on the vibration characteristics of materials, a flexible vibration platform is designed, and a virtual prototype model of the mechanism is established. The optimization of flexible mechanism parameters for achieving multi-mode vibration is then conducted. Subsequently, through studying the morphological characteristics of bare peony seedlings, the stages of seedling separation are defined, and a multi-mode vibration seedling separation method is determined using analytical analysis. This separation involves seedling cluster throwing motion for dispersion and sliding motion for separation.Simulation analysis reveals the inherent relationship between device structural parameters, operation parameters, and the degree of seedling separation.</p><h3 data-test=\"abstract-sub-heading\">Results</h3><p>Field test results show that, with a throwing frequency of 14.4 Hz, a sliding frequency of 7.7 Hz, the highest success rate of peony seedling separation is 87.6%, which can adequately meet agricultural production needs.</p><h3 data-test=\"abstract-sub-heading\">Conclusion</h3><p>This research provides a theoretical basis and methodological support for developing automatic seedling separation equipment for peonies or other elongated bare seedlings.</p>","PeriodicalId":20223,"journal":{"name":"Plant and Soil","volume":"7 1","pages":""},"PeriodicalIF":4.9,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143836979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Study on soil salinity inversion of different crop types based on multi-time series","authors":"Xi Chen, Shuqing Yang, Xiaoyu Wen, Yuxuan Wang, Wei Wang","doi":"10.1007/s11104-025-07455-x","DOIUrl":"https://doi.org/10.1007/s11104-025-07455-x","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Background and Aims</h3><p>Soil salinization is a major cause of land degradation and ecological damage. Traditional soil salinity monitoring techniques are limited in coverage and scalability, while remote sensing offers broader applicability and efficiency. This study addresses spatiotemporal variations in soil salt content (SSC) inversion across crop types in Tongliao City, Inner Mongolia, China, using an innovative integration of multi-temporal data and crop cover types, improving remote sensing monitoring accuracy.</p><h3 data-test=\"abstract-sub-heading\">Methods</h3><p>Field sampling data and Sentinel-2 images from June to September in 2021 and 2022 were utilized. The deep learning U-net model classified key crops, including sunflower (33%), beet (12%), and maize (55%), and analyzed the effects of crop coverage on SSC across multiple time series. Six spectral variables were selected using the SVR-RFE model (R² = 0.994, MAE = 0.016). SSC prediction models were developed using three machine learning methods (DBO-RF, PSO-SVM, BO-BP) and a deep learning method (Transformer).</p><h3 data-test=\"abstract-sub-heading\">Results</h3><p>Considering crop coverage variations improved the sensitivity of spectral variables to SSC response, enhancing predictive accuracy and model stability. Crop classification showed that the salinity index (SIs) correlated more strongly with SSC than the vegetation index (VIs), with SI6 having the highest correlation coefficient of 0.50. The Transformer model, using multi-time series data, outperformed other algorithms, achieving an average R2 of 0.71. The SSC inversion map from the Transformer model closely matched field survey trends.</p><h3 data-test=\"abstract-sub-heading\">Conclusion</h3><p>This research provides a novel approach to soil salinity prediction using satellite remote sensing, offering a scalable solution for monitoring salinization and valuable insights for environmental management and agricultural planning.</p>","PeriodicalId":20223,"journal":{"name":"Plant and Soil","volume":"34 1","pages":""},"PeriodicalIF":4.9,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143836973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prescribed burning modifies soil fertility and microbial biomass mediated by vegetation in Mediterranean mountain rangelands","authors":"Mercedes Ibáñez, José Manjón-Cabeza, Sangita Chowdhury, María José Broncano, Josefina Plaixats, Rosa Maria Canals, M-Teresa Sebastià","doi":"10.1007/s11104-025-07441-3","DOIUrl":"https://doi.org/10.1007/s11104-025-07441-3","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Background and Aims</h3><p>Prescribed burning is a widely used management technique, often employed to restore grasslands affected by woody plants encroachment. However, its interaction with pre-existing plant species in influencing soil properties remains unclear.</p><h3 data-test=\"abstract-sub-heading\">Methods</h3><p>We conducted a diachronic soil survey to assess the evolution of several soil properties in the mid-term (up to 18 months) after burning, including physico-chemical parameters and microbial biomass carbon on soils under vegetation patches of different plant functional types and life forms. Vegetation patches included <i>Ericaceae</i> and legume shrubs<i>,</i> ferns, and biocrusts dominated by lichens. Soil samples were taken pre-burning, immediately after burning and 9 and 18 months after.</p><h3 data-test=\"abstract-sub-heading\">Results</h3><p>Our findings indicate that while some soil properties returned to pre-burning levels in the mid-term (i. e., soil cations and NH₄⁺), others, such as available phosphorous (P Olsen), exhibited a significant decline that persisted even 18 months later. Furthermore, soils under legumes initially displayed higher levels of soil carbon and nitrogen compared to other vegetation patches, but this distinction diminished over time. This was likely due to legumes’ susceptibility to fire damage, in contrast to the greater resilience of <i>Ericaceae</i> shrubs.</p><h3 data-test=\"abstract-sub-heading\">Conclusion</h3><p>Our study highlights the complex vegetation patch-dependent effects of prescribed burning on soil properties. While legumes initially enhance soil carbon and nitrogen, their contribution decreases over time due to fire sensitivity. Some soil parameters recover in the mid-term, but nutrients like available phosphorus continue to decline. Fire management strategies should consider plant diversity and recovery time to mitigate soil fertility loss.</p>","PeriodicalId":20223,"journal":{"name":"Plant and Soil","volume":"62 1","pages":""},"PeriodicalIF":4.9,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143836977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mechanistic modeling of root water uptake in tropical agriculture: a sensitivity analysis of drought stress dynamics","authors":"Marina Luciana Abreu de Melo, Quirijn de Jong van Lier, Marius Heinen, Jos C. van Dam, Fábio Ricardo Marin","doi":"10.1007/s11104-025-07452-0","DOIUrl":"https://doi.org/10.1007/s11104-025-07452-0","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Background and aims</h3><p>Drought stress is a major driver of crop yield reductions in Brazil and other tropical regions. This study explores the mechanistic underpinnings of drought stress using a process-based root water uptake (RWU) model. We aimed to perform a comprehensive sensitivity analysis of the SWAP/MFlux model to simulate drought stress in long-term scenarios of soybean and wheat cultivation under tropical winter-dry conditions.</p><h3 data-test=\"abstract-sub-heading\">Methods</h3><p>The agro-hydrological model SWAP, incorporating the RWU function MFlux, was used to simulate 32 years of rainfed soybean and wheat cultivation across five soils with varying hydraulic properties in a tropical winter-dry climate. Sensitivity analysis of the MFlux function was conducted using three methods — local, global Morris, and global Sobol' — by varying seven RWU parameters within literature-supported ranges.</p><h3 data-test=\"abstract-sub-heading\">Results</h3><p>Wheat, grown in the dry winter, experienced higher drought stress than soybean, grown in the wetter summer, across the years. Root length density was the most influential RWU parameter, contributing 35% to 50% of drought stress variation. Soil hydraulic properties were also influential, with Ferralsols linked to a 50% reduction in above-ground dry matter productivity and an Acrisol and a Nitisol to up to 30% in the standard scenario. The Sobol' method provided the most comprehensive parameter sensitivities.</p><h3 data-test=\"abstract-sub-heading\">Conclusions</h3><p>Root length density is the most influential parameter in modeling drought stress, with soil hydraulic properties modulating crop responses. This study offers insights for informing management and breeding strategies to mitigate soil- and climate-induced limitations on soybean and wheat production in tropical environments.</p>","PeriodicalId":20223,"journal":{"name":"Plant and Soil","volume":"22 1","pages":""},"PeriodicalIF":4.9,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143841477","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Acidification associated with plant phosphorus-acquisition strategies decreases nutrient cycling potential of rhizosphere bacteria along the Hailuogou post-glacial chronosequence","authors":"Xiao-Long Li, Hongyang Sun, Jun Zhou, Yang Chen, Hong-Qiu Du, Yue-Xin Ming, Shuang Wu, Hans Lambers","doi":"10.1007/s11104-025-07445-z","DOIUrl":"https://doi.org/10.1007/s11104-025-07445-z","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Background and aim</h3><p>Soil nutrient availability, acidification associated with plant phosphorus-mining strategies, and fine root foraging all influence nutrient cycling. However, their relative impacts on microbial nutrient cycling during primary succession remain unclear.</p><h3 data-test=\"abstract-sub-heading\">Methods</h3><p>We studied a 130-year primary succession along the Hailuogou post-glacial chronosequence in southwest China. Early-successional stages (1–3) are dominated by <i>Hippophae tibetana</i>, which is gradually replaced by <i>Populus purdomii</i>. In the climax community (stage 4), <i>Abies fabri</i> replaces <i>P. purdomii</i>. We collected rhizosphere soil, roots, and leaves from the dominant species, analyzing how phosphorus-acquisition strategies (proxied by soil pH, leaf manganese concentration and fine-root morphology) influenced bacterial nutrient-cycling gene abundance, based on 16S rRNA sequencing.</p><h3 data-test=\"abstract-sub-heading\">Results</h3><p>Rhizosphere pH and the abundance of genes encoding enzymes involved in ammonium and nitrate assimilation, denitrification and phosphorus mobilization were significantly lower for <i>H. tibetana</i> and <i>A. fabri</i> than for <i>P. purdomii</i>. In contrast, <i>P. purdomii</i> exhibited a significantly higher specific root length. Linear mixed models reveal that leaf manganese concentration was positively correlated with soil acidification. Multiple regression models show that nutrient-cycling potential was more significantly linked to soil pH than to fine-root morphology or soil nutrient availability. Structural equation models indicate that the reduced nutrient-cycling potential was indirectly associated with soil acidification through bacterial co-occurrence networks rather than bacterial richness.</p><h3 data-test=\"abstract-sub-heading\">Conclusion</h3><p>Soil acidification, associated with phosphorus-mining strategies of <i>H. tibetana</i> and <i>A. fabri</i>, may inhibit microbial nutrient-cycling potential during primary succession. This highlights the interactions between plant nutrient-acquisition strategies and microbial processes in shaping terrestrial nutrient cycling.</p>","PeriodicalId":20223,"journal":{"name":"Plant and Soil","volume":"25 1","pages":""},"PeriodicalIF":4.9,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143841753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Diversity of home-field effects among genotypes and difference of relative mixture effect among conditioned soil treatments in a Leymus chinensis litter decomposition experiment","authors":"Zehang Qu, Ziqing Gong, Luoyang He, Baijie Fan, Lei Chen, Yubao Gao, Anzhi Ren, Nianxi Zhao","doi":"10.1007/s11104-025-07466-8","DOIUrl":"https://doi.org/10.1007/s11104-025-07466-8","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Background and Aims</h3><p>Ecological effects of biodiversity have been studied for several decades; however, at micro-scales, how genotype identity and richness within a species affect litter decomposition processes remains largely unknown.</p><h3 data-test=\"abstract-sub-heading\">Methods</h3><p>A litter reciprocal incubation experiment of four <i>Leymus chinensis</i> genotypes (litter a ~ d; soil A ~ D) was carried out, including a mixture decomposition on each conditioned soil. Based on litter mass, C, N loss percentages, litter quality, soil functional ability and home-field advantage (HFA) were estimated by a decomposability regression test; and relative mixture effects (RMEs) were estimated by non-additive effect.</p><h3 data-test=\"abstract-sub-heading\">Results</h3><p>(1) Litter mass and C loss percentages were affected by conditioned soil and litter genotype × conditioned soil. The direction and significance of the correlation coefficient between litter mass (C, N) loss percentages and indicators of litter initial properties and soil decomposer community were different among home-field decomposition (in single), away-field decomposition (in single), and mixture decomposition. (2) Significant positive HFAs were found in genotype-a which was characterized as the lowest litter quality and the highest soil functional ability. (3) Significant positive RMEs were found on litter C and N loss percentages in soil-D which was characterized as the highest soil microbial diversity and the lowest soil functional ability.</p><h3 data-test=\"abstract-sub-heading\">Conclusion</h3><p>At a micro-scale, low-quality litter of <i>L. chinensis</i> genotype favors an HFA for single decomposition, while soil with high microbial diversity promotes a positive RME for mixture decomposition<i>,</i> which highlights the ecological importance of spatial distribution of litter.</p>","PeriodicalId":20223,"journal":{"name":"Plant and Soil","volume":"8 1","pages":""},"PeriodicalIF":4.9,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143841470","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Field application of beneficial microbes to ameliorate drought stress in maize","authors":"Uchechukwu Paschal Chukwudi, Olubukola Oluranti Babalola, Bernard R. Glick, Gustavo Santoyo, Everlon Cid Rigobelo","doi":"10.1007/s11104-025-07446-y","DOIUrl":"https://doi.org/10.1007/s11104-025-07446-y","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Background and aims</h3><p>Drought stress is a challenge to maize (<i>Zea mays</i> L.) production, especially in an era of unpredictable climate change and weather extremes. Maize is a source of calories for millions of people all over the world. It is a food security crop, and any yield loss has food security implications. This study examines the effects of soil microbes on maize growth and yield under drought conditions, focusing on field-based experiments.</p><h3 data-test=\"abstract-sub-heading\">Methods</h3><p>This review follows PRISMA guidelines to systematically evaluate studies on the field effects of soil microbes on maize growth and yield under drought stress. A comprehensive search across multiple scientific databases using specific keywords and Boolean operators identified 78 manuscripts published between 2010 and 2024. After applying inclusion and exclusion criteria, only 9 studies met the criteria for microbial application in maize fields under drought conditions.</p><h3 data-test=\"abstract-sub-heading\">Results</h3><p>Microbial Biofertilizer applications enhance maize performance compared to uninoculated plants. Complementary application of biofertilizer together with conventional fertilizers outperforms sole application of biofertilizer in ameliorating drought stress in maize under field conditions. This study highlights some mechanisms through which soil microbes contribute to drought tolerance, the influence of environmental factors and host plant characteristics on microbial inoculants' effectiveness.</p><h3 data-test=\"abstract-sub-heading\">Conclusions</h3><p>The diverse array of growth-promoting microbial species available and their application methods offer significant potential for improving agricultural resilience. By integrating microbial technologies into farming practices, the challenges posed by climate change to food security may be reduced, thus contributing to sustainable agricultural production.</p>","PeriodicalId":20223,"journal":{"name":"Plant and Soil","volume":"108 1","pages":""},"PeriodicalIF":4.9,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143836972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Relationships between non-structural carbohydrates and root economic space in woody plants","authors":"Xue Wang, Xinrui Liu, Yanqi Yuan, Weiyi Mo, Kaixi Chen, Zengyi Yi, Manli Zheng, Ruili Wang, Shuoxin Zhang","doi":"10.1007/s11104-025-07447-x","DOIUrl":"https://doi.org/10.1007/s11104-025-07447-x","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Aims</h3><p>Non-structural carbohydrates (NSCs) can not only regulate various physiological activities but also reflect the carbon storage and availability of plants. However, the relationship between NSCs of absorptive roots and root economic space (RES) in woody plants, especially conifers and angiosperms, remains unclear. Moreover, how phylogeny and environment influence their relationships is unknown.</p><h3 data-test=\"abstract-sub-heading\">Methods</h3><p>We measured NSCs (soluble sugars and starch) and economic functional root traits (root diameter, specific root length, root tissue density, and root N concentration) of absorptive roots across 56 woody species (including angiosperms and conifers) from five vegetation vertical zones along a 2000-m altitudinal gradient in Taibai Mountain.</p><h3 data-test=\"abstract-sub-heading\">Results</h3><p>For angiosperms, the NSCs of absorptive roots were independent of RES and represented the defense gradient, which is negatively associated with RNC. The defense, collaboration, and conservation gradients in angiosperms were influenced by mean annual temperature (MAT), soil available nitrogen, and phylogeny, respectively, further causing the decoupling of NSCs and RES. Differently, for conifers, the NSCs of absorptive roots were closely related to the collaboration gradient dominated by root diameter and specific root length, which wasn’t influenced by environmental factors.</p><h3 data-test=\"abstract-sub-heading\">Conclusions</h3><p>Our findings highlight distinct positions of NSCs in RES for conifers and angiosperms, shedding light on the different roles of NSCs in the two major extant clades of woody species. Future studies should validate these relationships across broader scales and a wider range of species, enhancing our ability to understand plant adaptation strategies from a physiological perspective.</p>","PeriodicalId":20223,"journal":{"name":"Plant and Soil","volume":"247 1","pages":""},"PeriodicalIF":4.9,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143832509","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Tree diversity affects temperature sensitivity of soil organic matter decomposition in rhizosphere","authors":"Fei Gao, Dandan Gao, Chen Ning, Shuguang Liu, Yakov Kuzyakov, Andy Smith, Wende Yan","doi":"10.1007/s11104-025-07410-w","DOIUrl":"https://doi.org/10.1007/s11104-025-07410-w","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Background and aims</h3><p>Tree diversity strongly regulates organic matter inputs by rhizodeposition for microorganisms and microbial communities, impacting soil carbon (C) dynamics and stability. Because of much larger organic C availability in the rhizosphere, it can respond differently to tree diversity compared to bulk soil. To explore soil C stability under global warming, we assessed the temperature sensitivity (Q₁₀) of organic matter decomposition in rhizosphere and bulk soil depending on tree diversity.</p><h3 data-test=\"abstract-sub-heading\">Methods</h3><p>Q₁₀ of organic matter decomposition in rhizosphere and bulk soil in a subtropical forest were examined using short-term incubation under controlled conditions depending on tree diversity. Fine root traits and soil C and N availability were evaluated as related to microbial properties.</p><h3 data-test=\"abstract-sub-heading\">Results</h3><p>With increasing tree diversity, Q₁₀ remained stable in the rhizosphere but decreased in the bulk soil. While greater tree diversity increased fine root biomass, soil C and N availability, microbial K/r strategy ratios in rhizosphere and bulk soil shifter towards the r strategists, with a reduced bacterial K/r strategy ratio. However, microbial gene copy numbers and Shannon diversity remained stable. Partial correlation and multiple regression analysis revealed that rhizosphere Q₁₀ remained stable because of C excess and larger microbial abundance. The Q₁₀ reduction in bulk soil correlated with increased C availability and a shift in microbial community towards a lower K/r strategy ratio.</p><h3 data-test=\"abstract-sub-heading\">Conclusion</h3><p>The Q₁₀ decoupling between rhizosphere and bulk soil highlights a trade-off, where increasing tree diversity accelerates organic matter decomposition in rhizosphere to sustain nutrient supply, while maintaining bulk C pool stability under global warming.</p>","PeriodicalId":20223,"journal":{"name":"Plant and Soil","volume":"1 1","pages":""},"PeriodicalIF":4.9,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143832510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Seasonal dynamics of ammonia-oxidizing archaea (AOA) and their contribution to nitrification in wheat rhizospheres","authors":"Zhifei He, Xingbin Xu, Arlen Muhamethan, Nursiman Eisanjan, Miradel Mahmutjan, Xinlei Chen, Weilong Chen, Yijun Wang, Mao Ye, Yonghui Wang, Zongxiao Zhang","doi":"10.1007/s11104-025-07451-1","DOIUrl":"https://doi.org/10.1007/s11104-025-07451-1","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Aims</h3><p>The temporal variations in ammonia-oxidizing archaea (AOA) abundance, diversity, ecological characteristics and nitrification rate in the wheat rhizosphere, as well as the impact of exogenous nitrogen addition were investigated. Our goal was to elucidate the role of AOA in the nitrogen cycle of wheat rhizosphere ecosystems and a microbial perspective for sustainable agricultural development.</p><h3 data-test=\"abstract-sub-heading\">Methods</h3><p>The quantitative PCR and high-throughput sequencing technology were used to explore the variations of AOA community abundance and ecological characteristics among wheat growth stages and their environmental impact. Based on the loss of ammonia nitrogen concentration per unit time, the potential nitrification rate of wheat root soil was measured. Finally, based on the control experiment, this study further explored the response AOA community and nitrification rate to nitrogen addition.</p><h3 data-test=\"abstract-sub-heading\">Results</h3><p>Both AOA abundance and nitrification rates were significantly influenced by seasonal changes. During the vegetative growth stage (VGSS), AOA abundance and the nitrification rate reached its peak, and during the reproductive growth stage (RGSS) fell to a low. The α-and β-diversity characteristics of AOA communities showed significant differences across seasons. with VGSS soils showing higher network connectivity and complexity compared to RGSS soils. These differences suggest that random processes primarily regulated community assembly during VGSS. Additionally, exogenous nitrogen addition significantly increased AOA abundance and nitrification rates, with the most pronounced effects observed in the high nitrogen group, indicating that nitrogen availability is a key factor influencing AOA activity and nitrification efficiency in farmland soils.</p><h3 data-test=\"abstract-sub-heading\">Conclusions</h3><p>Our study provides new insights into the role of AOA in the farmland soil nitrogen cycle, and highlights the potential of microbial management strategies to facilitate nitrification and contribute to agricultural sustainability.</p>","PeriodicalId":20223,"journal":{"name":"Plant and Soil","volume":"120 1","pages":""},"PeriodicalIF":4.9,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143832471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}