[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2033":3,"related-2033":110},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":6,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":24,"tags":26,"primary_topic":32,"secondary_topics":37,"classification":49,"search_phrases":89,"slug":92,"view_count":22,"doi":93,"paper":94,"created_at":109},2033,"Regenerative benefits of legume–wheat intercropping systems on soil quality and resource-use efficiency under deficit irrigation in Egypt","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1923296","Background Soil degradation and water scarcity are major constraints to sustainable cereal production in arid and semi-arid regions. Legume–wheat intercropping may simultaneously improve soil quality and resource-use efficiency, but its regenerative performance under deficit irrigation remains insufficiently quantified. Methods A two-year field experiment was conducted during 2021\u002F22 and 2022\u002F23 in El-Minia Governorate, Middle Egypt, using a split-plot design with three replications. Three irrigation regimes—100%, 85%, and 70% of crop evapotranspiration (ETc)—were evaluated in combination with sole wheat and wheat intercropped with faba bean, pea, or fahl clover. Soil organic matter, available N, P, and K, soil pH, Soil Quality Index (SQI), crop yield, land equivalent ratio (LER), water equivalent ratio (WER), and change in water use (DWU) were assessed. Results All legume–wheat intercropping systems significantly improved soil organic matter and available macronutrients relative to sole wheat. Faba bean–wheat generally produced the greatest improvements in soil properties and SQI. The beneficial effects of intercropping persisted under severe deficit irrigation (70% ETc). Pea–wheat achieved the highest total LER (1.39) and WER (1.26), together with the highest wheat grain yield and a DWU of -20.48%. Conclusion Legume–wheat intercropping enhanced soil quality, land-use efficiency, and water-use efficiency under deficit irrigation. The results demonstrate that integrating legumes with wheat can provide a practical regenerative strategy for improving productivity and resilience of wheat-based systems in water-limited environments.","背景 土壤退化与水资源短缺是干旱和半干旱地区可持续谷物生产的主要限制因素。豆科作物-小麦间作可能同时改善土壤质量和资源利用效率，但其在亏缺灌溉条件下的再生性能仍缺乏充分的定量评估。方法 于2021\u002F22和2022\u002F23年度在埃及中部明亚省开展了一项为期两年的田间试验，采用裂区设计，设三次重复。评估了三种灌溉制度——分别为作物蒸散量（ETc）的100%、85%和70%——与单作小麦及小麦分别与蚕豆、豌豆或埃及三叶草间作的组合。测定了土壤有机质、速效氮、磷、钾、土壤pH、土壤质量指数（SQI）、作物产量、土地当量比（LER）、水当量比（WER）以及水分利用变化量（DWU）。结果 与单作小麦相比，所有豆科作物-小麦间作系统均显著提高了土壤有机质和速效大量元素含量。蚕豆-小麦间作通常在改善土壤性质和SQI方面效果最佳。间作的有益效应在严重亏缺灌溉（70% ETc）条件下依然持续。豌豆-小麦间作实现了最高的总LER（1.39）和WER（1.26），同时小麦籽粒产量最高，DWU为-20.48%。结论 豆科作物-小麦间作在亏缺灌溉条件下提高了土壤质量、土地利用效率和水分利用效率。结果表明，将豆科作物与小麦整合可为水资源受限环境中提高小麦种植系统的生产力和韧性提供一种实用的再生策略。",null,"Frontiers in Sustainable Food Systems","2026-09-09T00:00:00Z","论文",10,false,76,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},16,22,17,13,8,1,"两年田间试验量化了亏缺灌溉下豆科-小麦间作的土壤改良与资源利用效率提升，数据扎实、结论可靠，对干旱半干旱区小麦可持续生产有参考价值。",[25],{"name":10,"url":6},[27,28,29,30,31],"小麦","土壤健康","节水灌溉","间作套种","豆科绿肥",{"code":33,"slug":34,"name":27,"path":35,"parent_code":36},"A2","wheat","\u002Ftopic\u002Ffield-crops\u002Fwheat","A",[38,44],{"code":39,"slug":40,"name":41,"path":42,"parent_code":43},"H2","soil","土壤健康与改良","\u002Ftopic\u002Fenvironment\u002Fsoil","H",{"code":45,"slug":46,"name":47,"path":48,"parent_code":43},"H3","irrigation","水资源与灌溉","\u002Ftopic\u002Fenvironment\u002Firrigation",{"status":50,"locked":14,"version":51,"method":52,"evidence":53},"classified","2026-10-22.2","rules",{"candidates":54,"agricultural_evidence":57},[55,64,69,74,82],{"code":45,"score":56,"supported":57,"title":58,"abstract":59,"tags":63},18,true,[46],[60,61,46,62],"灌溉","水资源","evapotranspiration",[29],{"code":33,"score":65,"supported":57,"title":66,"abstract":67,"tags":68},15,[34],[27,34],[27],{"code":39,"score":65,"supported":57,"title":70,"abstract":71,"tags":73},[40],[72,40],"土壤",[28],{"code":75,"score":76,"supported":57,"title":77,"abstract":79,"tags":81},"A7",14,[78],"intercropping",[80,78],"间作",[],{"code":83,"score":84,"supported":57,"title":85,"abstract":86,"tags":88},"H7",3,[],[87],"干旱",[],[90,91],"土壤健康 节水灌溉 豆科绿肥 间作套种","土壤健康 节水灌溉","土壤健康节水灌溉豆科绿肥间作套种-2033","10.3389\u002Ffsufs.2026.1923296",{"doi":93,"openalex_id":95,"authors":96,"venue":10,"cited_by_count":101,"oa_url":6,"card":102,"direction":106,"ingested_from":108},"W7212074132",[97,99],{"name":98,"orcid":9},"S.A.H. Ouda",{"name":100,"orcid":9},"Abd El-Hafeez Zohry",0,{"tldr":103,"method":104,"finding":105,"direction":106,"opportunity":107},"埃及两年试验表明，豆科-小麦间作在亏缺灌溉下仍能提升土壤质量与资源利用效率。","裂区试验，3种灌溉水平与4种种植模式，测SQI、LER、WER等指标。","蚕豆-小麦改善土壤最佳，豌豆-小麦LER和WER最高，间作效益在70%ETc下仍存在。","农业绿色发展与碳","可探究间作系统在不同气候与土壤类型下的长期固碳减排潜力及微生物机制。","openalex","2026-09-10T23:30:07.672063Z",{"total":111,"page":22,"page_size":111,"items":112},6,[113,186,246,338,413,496],{"id":114,"title":115,"url":116,"summary":117,"summary_zh":118,"content":9,"source_name":119,"source_url":116,"published_at":120,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":121,"score_detail":122,"sources":125,"tags":127,"primary_topic":132,"secondary_topics":133,"classification":135,"search_phrases":159,"slug":162,"view_count":101,"doi":163,"paper":164,"created_at":185},5541,"Year-round modeling of soil water-heat-salt transport and crop growth under film-mulched drip irrigation with freeze-thaw cycles","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.agsy.2026.105024","Context Soil water-heat-salt migration and crop growth in film-mulched drip irrigation fields in seasonally frozen regions are influenced by partial mulching and drip irrigation during the growth period, as well as soil freeze-thaw processes during the fallow period. Understanding year-round soil water-heat-salt dynamics and crop growth is essential for sustainable agricultural water use. Objective However, existing year-round models often use one-dimensional (1D) approaches during the growth period, which neglect horizontal salt migration under partial mulching and drip irrigation, leading to an overestimation of salt leaching efficiency. This limitation can be addressed by developing a year-round model that incorporates the distinct dynamics of both growth and fallow periods. Methods In this study, we developed a year-round coupled model, CAWM-S, by integrating the previously developed Crop and Water Model based on HYDRUS-2D (CAWM-H2D) with the SHAW model, which considers soil freeze-thaw processes. The key features of CAWM-S include detailed depiction of 2D soil water-heat-salt migration, crop growth and yield formation, and energy balance at the film-mulched soil surface during the growth period, as well as the redistribution of soil water-salt due to freeze-thaw processes in the fallow period. The model was calibrated and validated using monitored data from two consecutive year-round periods in a film-mulched drip irrigation cotton field in southern Xinjiang, a region with seasonal frozen soils, under different irrigation water salinity levels. This validation is treatment-wise and limited to the same site and two-year period; independent validation across other sites, years, crops, and irrigation systems remains necessary. Results and conclusions The simulated results for soil water, temperature, salinity, crop growth indicators, and yield generally matched the measured data across the two years with varying salinity levels, with treatment-averaged R 2 values ranging from 0.48 to 0.98 and NSE values 0.42 to 0.97. Furthermore, we analyzed the effects of different irrigation volume and salinity combinations on soil desalination rates, evapotranspiration and its components, crop yield, and water productivity, revealing a quadratic relationship between optimal irrigation volume and water salinity under film-mulched drip irrigation. Validation results show that CAWM-S effectively quantifies coupled soil water-heat-salt dynamics and crop growth, and predicts salt redistribution across year-round cycles in seasonally frozen regions. Significance It provides an effective tool for supporting sustainable agriculture by aiding water saving, control of soil salinization and improvement of crop water productivity in the film-mulched drip irrigation fields within seasonally frozen regions.","背景 季节性冻土区覆膜滴灌农田的土壤水热盐迁移与作物生长，受生育期内部分覆膜和滴灌以及休止期土壤冻融过程的影响。理解全年土壤水热盐动态及作物生长对于农业可持续用水至关重要。目的 然而，现有全年模型在生育期多采用一维（1D）方法，忽略了部分覆膜滴灌条件下的水平盐分迁移，导致对盐分淋洗效率的高估。这一局限可通过开发兼顾生育期与休止期不同动态特征的全年模型加以解决。方法 本研究将前期开发的基于HYDRUS-2D的作物与水分模型（CAWM-H2D）与考虑土壤冻融过程的SHAW模型相耦合，构建了全年耦合模型CAWM-S。CAWM-S的主要特点包括：详细刻画生育期二维土壤水热盐迁移、作物生长与产量形成以及覆膜土壤表面能量平衡，同时描述休止期冻融过程引起的土壤水盐再分布。模型采用南疆季节性冻土区覆膜滴灌棉田连续两个全年周期的监测数据，在不同灌溉水矿化度水平下进行率定与验证。该验证按处理进行，且仅限于同一站点和两年时段；仍需在其他站点、年份、作物及灌溉系统下开展独立验证。结果与结论 在两个不同矿化度水平的年份中，土壤水分、温度、盐分、作物生长指标及产量的模拟结果与实测数据总体吻合，处理平均R²为0.48~0.98，NSE为0.42~0.97。此外，分析了不同灌水量与矿化度组合对土壤脱盐率、蒸散及其组分、作物产量和水分生产率的影响，揭示了覆膜滴灌条件下最优灌水量与灌溉水矿化度之间的二次关系。验证结果表明，CAWM-S能够有效量化土壤水热盐耦合动态与作物生长，并预测","Agricultural Systems","2026-10-21T00:00:00Z",79,{"impact":17,"substance":18,"depth":56,"authority":76,"freshness":123,"relevant":22,"comment":124},9,"构建了覆盖冻融期的全年水热盐与作物生长耦合模型，方法有新意、验证数据扎实，对盐碱地滴灌节水有实用价值，但属单点两年验证的学术成果，产业影响有限。",[126],{"name":119,"url":116},[128,129,29,130,131],"棉花","盐碱地治理","覆膜滴灌","土壤水盐运移",{"code":45,"slug":46,"name":47,"path":48,"parent_code":43},[134],{"code":39,"slug":40,"name":41,"path":42,"parent_code":43},{"status":50,"locked":14,"version":51,"method":52,"evidence":136},{"candidates":137,"agricultural_evidence":57},[138,142,146,153],{"code":45,"score":56,"supported":57,"title":139,"abstract":140,"tags":141},[46],[60,46,62],[29],{"code":39,"score":65,"supported":57,"title":143,"abstract":144,"tags":145},[40],[72,40],[129],{"code":147,"score":148,"supported":57,"title":149,"abstract":150,"tags":152},"A6",4,[],[151],"cotton",[128],{"code":154,"score":84,"supported":57,"title":155,"abstract":156,"tags":158},"H8",[],[157],"sustainable agriculture",[],[160,161],"南疆 覆膜滴灌 棉花","CAWM-S 模型 冻融","南疆覆膜滴灌棉花-5541","10.1016\u002Fj.agsy.2026.105024",{"doi":163,"openalex_id":165,"authors":166,"venue":119,"cited_by_count":101,"oa_url":116,"card":179,"direction":183,"ingested_from":108},"W7223120642",[167,170,172,175,177],{"name":168,"orcid":169},"Dong Lin","https:\u002F\u002Forcid.org\u002F0000-0001-8433-9658",{"name":171,"orcid":9},"Tongkai Guo",{"name":173,"orcid":174},"Zunqiu Xu","https:\u002F\u002Forcid.org\u002F0000-0002-9393-3605",{"name":176,"orcid":9},"Wenping Bi",{"name":178,"orcid":9},"Xiaomin Mao",{"tldr":180,"method":181,"finding":182,"direction":183,"opportunity":184},"构建全年耦合模型CAWM-S，模拟覆膜滴灌棉田水热盐运移与作物生长。","将HYDRUS-2D的CAWM-H2D与冻融模型SHAW耦合，用南疆两年监测数据","模型精度较高（R²0.48-0.98），揭示最优灌溉量与灌水盐度呈二次关系。","农业遥感与作物表型","可扩展至多站点、多作物与不同灌溉制度的独立验证，并耦合遥感数据实现区域尺度模拟。","2026-10-22T11:20:12.238655Z",{"id":187,"title":188,"url":189,"summary":190,"summary_zh":9,"content":9,"source_name":119,"source_url":189,"published_at":191,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":192,"score_detail":193,"sources":196,"tags":198,"primary_topic":201,"secondary_topics":202,"classification":204,"search_phrases":222,"slug":225,"view_count":101,"doi":226,"paper":227,"created_at":245},5229,"Integrating HYDRUS-2D and AquaCrop for simulating soil water–salt dynamics and crop growth under film-mulched drip irrigation","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.agsy.2026.105017","Integrating HYDRUS-2D and AquaCrop for simulating soil water–salt dynamics and crop growth under film-mulched drip irrigation。Agricultural Systems","2026-10-17T00:00:00Z",82,{"impact":56,"substance":18,"depth":194,"authority":76,"freshness":123,"relevant":22,"comment":195},19,"耦合HYDRUS-2D与AquaCrop模拟覆膜滴灌下水盐与作物生长，方法有创新、结论可靠，属农业信息化与节水灌溉领域值得精选的论文。",[197],{"name":119,"url":189},[199,29,130,200],"作物模型","水盐调控",{"code":45,"slug":46,"name":47,"path":48,"parent_code":43},[203],{"code":39,"slug":40,"name":41,"path":42,"parent_code":43},{"status":50,"locked":14,"version":51,"method":52,"evidence":205},{"candidates":206,"agricultural_evidence":57},[207,212,217],{"code":45,"score":208,"supported":57,"title":209,"abstract":210,"tags":211},12,[46],[46],[29],{"code":39,"score":213,"supported":57,"title":214,"abstract":215,"tags":216},11,[40],[40],[],{"code":218,"score":22,"supported":14,"title":219,"abstract":220,"tags":221},"I2",[],[],[199],[223,224],"HYDRUS-2D AquaCrop 覆膜滴灌","土壤水盐 作物生长 模拟","HYDRUS-2DAquaCrop覆膜滴灌-5229","10.1016\u002Fj.agsy.2026.105017",{"doi":226,"openalex_id":228,"authors":229,"venue":119,"cited_by_count":101,"oa_url":189,"card":9,"direction":9,"ingested_from":108},"W7222801463",[230,232,234,236,238,241,243],{"name":231,"orcid":9},"Yunfeng Li",{"name":233,"orcid":9},"Jun Wang",{"name":235,"orcid":9},"Hexiang Zheng",{"name":237,"orcid":9},"Delong Tian",{"name":239,"orcid":240},"Jie Ren","https:\u002F\u002Forcid.org\u002F0000-0001-8795-0372",{"name":242,"orcid":9},"Hao Liu",{"name":244,"orcid":9},"Jingsheng Sun","2026-10-18T23:30:04.248249Z",{"id":247,"title":248,"url":249,"summary":250,"summary_zh":251,"content":9,"source_name":252,"source_url":249,"published_at":253,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":254,"score_detail":255,"sources":258,"tags":260,"primary_topic":265,"secondary_topics":266,"classification":268,"search_phrases":312,"slug":315,"view_count":101,"doi":316,"paper":317,"created_at":337},4242,"Integrated Irrigation and Disease Management Strategies for Sustainable Wheat Production and Improved Plant Health and Grain Yield","https:\u002F\u002Fdoi.org\u002F10.71317\u002Fkjard.2.10.2026.774","Wheat production was expected to provide reliable grain quality and farmer income while using less water and facing climatic variability, soil degradation, disease development, and rising energy costs. This literature-based paper critically synthesized verified research on irrigation, plant disease management, irrigation–disease interactions, sustainability, digital agriculture, and the Pakistan\u002Fdeveloping-economy context. It considered irrigation and plant health as related management areas rather than completely separate input decisions. The available evidence did not identify a universal irrigation technology or deficit percentage. Instead, it supported a context-specific approach that considered stored soil water and rainfall, protected important growth stages, managed canopy humidity and nitrogen, used resistant cultivars and clean seed, and applied surveillance, forecasting, and fungicides when justified. Global and China-focused studies reported that moderate deficit or optimized water-saving irrigation could improve water productivity, whereas severe water deficit commonly reduced yield. Jointing\u002Fstem elongation was repeatedly identified as an important stage for avoiding water stress, while anthesis and early grain filling were also important when water availability and disease risk required attention. Disease-management evidence emphasized genetic resistance, sanitation, crop rotation, scouting, and forecasting before chemical control. Fusarium head blight required particular attention to weather conditions around anthesis, residue inoculum, cultivar resistance, fungicide timing, and deoxynivalenol risk. Irrigation increased yield without increasing disease in some environments, although dense nitrogen-rich canopies, overhead wetting, and saturated soils could favor foliar diseases and waterlogging. Digital tools were considered decision-support infrastructure that linked observations, analysis, and management actions. Wheat-specific evidence was relatively stronger for soil-moisture scheduling and weather-based stripe-rust forecasting, whereas many claims involving artificial intelligence, UAVs, and variable-rate irrigation remained predictive or transferable rather than directly supported by causal field evidence. Evidence from Pakistan indicated dependence on groundwater, salinity and waterlogging problems, uneven disease surveillance, and barriers to technology adoption. Differences among official statistics also indicated the need for careful reconciliation rather than simple averaging. The paper proposed an integrated framework involving diagnosis, planning, stage-aware irrigation, plant-health protection, evaluation, and seasonal feedback. It also identified the need for multi-location and multi-season studies that evaluated water use, disease, grain quality, energy use, greenhouse-gas emissions, profitability, and equity together.","小麦生产被期望在提供可靠籽粒品质和农民收入的同时，减少用水并应对气候变异、土壤退化、病害发展和能源成本上升。这篇基于文献的论文批判性地综合了关于灌溉、植物病害管理、灌溉–病害相互作用、可持续性、数字农业以及巴基斯坦\u002F发展中经济体背景的已验证研究。它将灌溉和植物健康视为相关的管理领域，而非完全独立的投入决策。现有证据并未确定一种通用的灌溉技术或亏缺百分比。相反，它支持一种因地制宜的方法，即考虑土壤储水和降雨、保护重要生育阶段、管理冠层湿度和氮素、使用抗性品种和清洁种子，并在有依据时应用监测、预报和杀菌剂。全球和中国的研究报告称，适度亏缺或优化节水灌溉可提高水分生产力，而严重水分亏缺通常降低产量。拔节\u002F茎伸长阶段被反复确定为避免水分胁迫的重要阶段，而在水分可用性和病害风险需要关注时，开花期和灌浆早期也很重要。病害管理证据强调在化学防治之前采用遗传抗性、卫生措施、轮作、田间巡查和预报。赤霉病需要特别关注开花期前后的天气条件、残体接种体、品种抗性、杀菌剂施用时机和脱氧雪腐镰刀菌烯醇风险。在某些环境中，灌溉提高了产量而未增加病害，尽管密集的富氮冠层、 overhead wetting 和饱和土壤可能有利于叶部病害和渍害。数字工具被视为连接观测、分析和管理行动的决策支持基础设施。小麦-specific 证据在土壤水分调度和基于天气的条锈病预报方面相对更强，而许多涉及人工智能、无人机和变量灌溉的说法仍属于预测性或可迁移性，而非直接得到因果田间证据的支持。来自巴基斯坦的证据表明对地下水的依赖、盐渍化和渍害问题、病害监测不均衡以及技术采用的障碍。官方统计数据之间的差异也表明需要谨慎。","Kashmir Journal of Academic Research and Development","2026-10-04T00:00:00Z",66,{"impact":208,"substance":256,"depth":19,"authority":21,"freshness":123,"relevant":22,"comment":257},20,"综述性论文，系统整合灌溉与病害协同管理及数字农业证据，对小麦节水抗病生产有参考价值，但非原创数据、层级偏学术。",[259],{"name":252,"url":249},[261,262,27,263,264],"数字农业","智慧农业","病害防控","灌溉管理",{"code":33,"slug":34,"name":27,"path":35,"parent_code":36},[267],{"code":45,"slug":46,"name":47,"path":48,"parent_code":43},{"status":50,"locked":14,"version":51,"method":52,"evidence":269},{"candidates":270,"agricultural_evidence":57},[271,275,279,285,291,295,301,307],{"code":33,"score":65,"supported":57,"title":272,"abstract":273,"tags":274},[34],[27,34],[27],{"code":45,"score":65,"supported":57,"title":276,"abstract":277,"tags":278},[46],[60,46],[264],{"code":280,"score":21,"supported":57,"title":281,"abstract":282,"tags":284},"I1",[],[261,283],"digital agriculture",[261,262],{"code":75,"score":111,"supported":57,"title":286,"abstract":287,"tags":290},[],[288,289],"轮作","crop rotation",[],{"code":39,"score":111,"supported":57,"title":292,"abstract":293,"tags":294},[],[72,40],[],{"code":83,"score":111,"supported":57,"title":296,"abstract":297,"tags":300},[],[298,299],"渍害","waterlogging",[],{"code":302,"score":84,"supported":57,"title":303,"abstract":304,"tags":306},"B7",[],[305],"greenhouse",[],{"code":218,"score":84,"supported":57,"title":308,"abstract":309,"tags":311},[],[310],"artificial intelligence",[],[313,314],"小麦 灌溉 病害 综合管理","小麦 节水灌溉 赤霉病","小麦灌溉病害综合管理-4242","10.71317\u002Fkjard.2.10.2026.774",{"doi":316,"openalex_id":318,"authors":319,"venue":252,"cited_by_count":101,"oa_url":249,"card":330,"direction":336,"ingested_from":108},"W7219840451",[320,322,324,326,328],{"name":321,"orcid":9},"Amir Khan Jamali",{"name":323,"orcid":9},"Zahir Muhammad Larik",{"name":325,"orcid":9},"Videsh Kumar",{"name":327,"orcid":9},"Um E Habiba",{"name":329,"orcid":9},"Amanullah Maree",{"tldr":331,"method":332,"finding":333,"direction":334,"opportunity":335},"综述小麦灌溉与病害管理整合策略，强调因地制宜而非通用方案。","文献综述，综合灌溉、病害、数字农业及巴基斯坦等发展经济体证据。","适度亏缺灌溉可提高水分生产力，但严重亏缺减产；病害管理需结合抗性、预测与适时用药。","智慧农业 \u002F 农业物联网","AI、无人机和变量灌溉在小麦中的因果田间证据不足，可开展整合灌溉-病害的验证研究。","数字乡村与农业信息化","2026-10-05T23:30:30.962770Z",{"id":339,"title":340,"url":341,"summary":342,"summary_zh":343,"content":9,"source_name":10,"source_url":341,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":121,"score_detail":344,"sources":346,"tags":348,"primary_topic":353,"secondary_topics":354,"classification":356,"search_phrases":396,"slug":399,"view_count":84,"doi":400,"paper":401,"created_at":412},2034,"Multi-objective water–energy–food–environment Nexus optimization for wheat production in the North China plain","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1897603","Intensive wheat production in the North China Plain is central to regional food security, but it also places strong pressure on groundwater resources, fertilizer demand, energy use, and greenhouse gas emissions. Integrated water-energy-food-environment (WEFE) planning is therefore needed to identify strategies that can reduce environmental burdens for a fixed wheat-production functional unit. This study develops a farm-scale WEFE nexus optimization model for 1 ha of wheat production and compares five scenarios: baseline, circular economy, decarbonization, water scarcity, and integrated sustainability. The model evaluates alternative water-supply, nutrient-recovery, and electricity-generation pathways using cost, life-cycle greenhouse gas emissions, circularity, and nexus performance indicators. Under the baseline compromise solution, total cost and greenhouse gas emissions were 549.67 USD ha −1 and 1537.72 kg CO₂-eq ha −1 , respectively, with a renewable-energy share of 60.46% and irrigation circularity of 12.73%. The integrated scenario achieved the strongest overall performance, reducing greenhouse gas emissions by about 49% to 784.79 kg CO₂-eq ha −1 , increasing fertilizer recovery to 40%, and raising the renewable-energy share to 92.70% under the fixed wheat-production requirement. These results show that coordinated water reuse, nutrient recovery, and electricity decarbonization provide greater sustainability gains than single-sector interventions. The study contributes a nexus-based optimization framework for evaluating circular and low-carbon agricultural transitions in water-stressed cereal production systems.","华北平原的集约化小麦生产对区域粮食安全至关重要，但也对地下水资源、化肥需求、能源利用和温室气体排放构成巨大压力。因此，需要开展水-能-粮-环境（WEFE）综合规划，以确定在固定小麦生产功能单位下能够降低环境负担的策略。本研究构建了一个针对1公顷小麦生产的农场尺度WEFE关联优化模型，并比较了五种情景：基准情景、循环经济情景、脱碳情景、水资源短缺情景和综合可持续情景。该模型采用成本、生命周期温室气体排放、循环性和关联性能指标来评估替代性供水、养分回收和发电路径。在基准折中方案下，总成本和温室气体排放分别为549.67美元\u002F公顷和1537.72千克CO₂当量\u002F公顷，可再生能源占比为60.46%，灌溉循环率为12.73%。综合情景实现了最佳整体表现，在固定小麦生产需求下，温室气体排放减少约49%至784.79千克CO₂当量\u002F公顷，肥料回收率提高至40%，可再生能源占比提升至92.70%。这些结果表明，协同推进水的回用、养分回收和电力脱碳比单一部门干预能带来更大的可持续性收益。本研究为评估缺水谷物生产系统中的循环和低碳农业转型提供了一个基于关联的优化框架。",{"impact":56,"substance":18,"depth":56,"authority":20,"freshness":21,"relevant":22,"comment":345},"华北平原小麦水-能-粮-环境耦合优化研究，量化了减碳49%、肥料回收40%等结论，方法新颖数据扎实，对缺水区小麦绿色生产有参考价值。",[347],{"name":10,"url":341},[27,349,350,351,352],"水肥一体化","循环农业","绿色低碳","华北平原",{"code":33,"slug":34,"name":27,"path":35,"parent_code":36},[355],{"code":45,"slug":46,"name":47,"path":48,"parent_code":43},{"status":50,"locked":14,"version":51,"method":52,"evidence":357},{"candidates":358,"agricultural_evidence":57},[359,363,367,375,382,387,392],{"code":33,"score":65,"supported":57,"title":360,"abstract":361,"tags":362},[34],[27,34],[27],{"code":45,"score":123,"supported":57,"title":364,"abstract":365,"tags":366},[],[60,61,46],[],{"code":368,"score":369,"supported":57,"title":370,"abstract":371,"tags":374},"F3",7,[],[372,373],"肥料","fertilizer",[349],{"code":376,"score":111,"supported":57,"title":377,"abstract":378,"tags":381},"A8",[],[379,380],"粮食安全","food security",[],{"code":302,"score":111,"supported":57,"title":383,"abstract":384,"tags":386},[],[385,305],"温室",[],{"code":388,"score":22,"supported":14,"title":389,"abstract":390,"tags":391},"H4",[],[],[351],{"code":154,"score":22,"supported":14,"title":393,"abstract":394,"tags":395},[],[],[350],[397,398],"水肥一体化 华北平原 循环农业 绿色低碳","水肥一体化 华北平原","水肥一体化华北平原循环农业绿色低碳-2034","10.3389\u002Ffsufs.2026.1897603",{"doi":400,"openalex_id":402,"authors":403,"venue":10,"cited_by_count":101,"oa_url":406,"card":407,"direction":106,"ingested_from":108},"W7212082572",[404],{"name":405,"orcid":9},"Gaodi Yang","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1897603\u002Fpdf",{"tldr":408,"method":409,"finding":410,"direction":106,"opportunity":411},"构建农场尺度水-能-粮-环境耦合优化模型，比较五种情景以优化华北平原小麦生产的可持续性。","农场尺度WEFE耦合优化模型，评估水、养分、电力路径，用成本、生命周期温室气体、","综合情景温室气体减排约49%，肥料回收率升至40%，可再生能源占比达92.7%，优于单部门干预。","可将该WEFE耦合优化框架扩展到其他缺水作物系统，并耦合农户行为与政策激励进行情景分析。","2026-09-10T23:30:07.730098Z",{"id":414,"title":415,"url":416,"summary":417,"summary_zh":418,"content":9,"source_name":419,"source_url":416,"published_at":120,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":420,"score_detail":421,"sources":424,"tags":426,"primary_topic":431,"secondary_topics":432,"classification":439,"search_phrases":473,"slug":476,"view_count":101,"doi":477,"paper":478,"created_at":495},5558,"Estimation of Soil Water Content in Winter Wheat Field at Jointing Stage Using Multi-Source Features and Machine Learning","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fagronomy16202071","Accurate and timely monitoring of soil water content (SWC) plays an essential supporting role in crop irrigation management and smart agricultural practice. Remote sensing technology provides rapid and convenient approaches to large-scale farmland SWC estimation or inversion. However, existing mechanistic modeling methods are limited by parameter localization and land surface heterogeneity, while machine learning data-driven methods lack quite good physical interpretability. To address deficiencies in single data-driven methods and single vegetation microwave scattering models, and explore the estimation effect of different feature variables in machine learning. This study proposes an innovative estimation model that integrates machine learning strategies and multi-source features, including spectral indices and features derived from the classic water cloud model (WCM). The novelty of the proposed model lies in balancing physical interpretability and data-driven accuracy, namely extracting relevant soil backscattering parameters through WCM, which are then used as input features in the machine learning. A combination of field-measured data and unmanned aerial vehicle (UAV) multi-source remote sensing data, including multispectral and synthetic aperture radar (SAR) data, was acquired synchronously at the jointing stage of winter wheat. Through extracting variables such as the SAR microwave backscattering coefficient and the optical vegetation index, and conducting feature screening and parameter sensitivity analysis, we optimized the input variable sets of models based on back-propagation (BP) neural network, support vector regression (SVR) and random forest (RF) algorithms. The study results showed that the established estimation model had excellent estimation performance, especially for the RF algorithm, with the highest R2 of 0.855, lowest MAE of 0.0212 cm3\u002Fcm3, and lowest RMSE of 0.0253 cm3\u002Fcm3. It was also shown that different feature input schemes have obvious effects on SWC estimation performance. On the whole, RF had the best estimation accuracy, followed by SVR and then BPNN. This study demonstrated that models integrating multi-source remote sensing data and machine learning could enhance SWC estimation ability for winter wheat fields, and could also serve as a promising approach for SWC monitoring in winter wheat fields in the North China Plain.","准确、及时地监测土壤含水量（SWC）对作物灌溉管理和智慧农业实践具有重要的支撑作用。遥感技术为大规模农田土壤含水量估算或反演提供了快速便捷的手段。然而，现有机理建模方法受参数本地化和地表异质性限制，机器学习数据驱动方法则缺乏良好的物理解释性。针对单一数据驱动方法和单一植被微波散射模型的不足，并探究不同特征变量在机器学习中的估算效果，本研究提出了一种融合机器学习策略与多源特征的创新估算模型，所采用特征包括光谱指数和经典水云模型（WCM）衍生的特征。该模型的新颖性在于平衡物理解释性与数据驱动精度，即通过WCM提取相关土壤后向散射参数，再将其作为机器学习的输入特征。研究在冬小麦拔节期同步获取了田间实测数据与无人机（UAV）多源遥感数据，包括多光谱和合成孔径雷达（SAR）数据。通过提取SAR微波后向散射系数和光学植被指数等变量，并进行特征筛选和参数敏感性分析，优化了基于反向传播（BP）神经网络、支持向量回归（SVR）和随机森林（RF）算法的模型输入变量集。研究结果表明，所建立的估算模型具有优良的估算性能，尤其是RF算法，最高R²为0.855，最低MAE为0.0212 cm³\u002Fcm³，最低RMSE为0.0253 cm³\u002Fcm³。研究还表明，不同特征输入方案对土壤含水量估算性能有明显影响。总体而言，RF估算精度最佳，SVR次之，BPNN再次之。本研究证明，融合多源遥感数据与机器学习的模型能够提升冬小麦田土壤含水量估算能力，也可为华北平原冬小麦田土壤含水量监测提供一种有前景的方法。","Agronomy",77,{"impact":17,"substance":422,"depth":19,"authority":20,"freshness":13,"relevant":22,"comment":423},21,"该研究融合多源遥感与机器学习估算冬小麦拔节期土壤含水量，方法有创新、结论可靠，对智慧灌溉有参考价值，但属细分领域论文，影响范围有限。",[425],{"name":419,"url":416},[262,427,428,429,430],"机器学习","遥感监测","土壤墒情","冬小麦",{"code":33,"slug":34,"name":27,"path":35,"parent_code":36},[433,434],{"code":39,"slug":40,"name":41,"path":42,"parent_code":43},{"code":218,"slug":435,"name":436,"path":437,"parent_code":438},"agricultural-ai","农业AI与大模型","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-ai","I",{"status":50,"locked":14,"version":51,"method":52,"evidence":440},{"candidates":441,"agricultural_evidence":57},[442,448,452,457,465,469],{"code":33,"score":443,"supported":57,"title":444,"abstract":446,"tags":447},26,[445,34],"winter wheat",[27,445,34],[430],{"code":39,"score":65,"supported":57,"title":449,"abstract":450,"tags":451},[40],[72,40],[429],{"code":218,"score":65,"supported":57,"title":453,"abstract":455,"tags":456},[454],"machine learning",[427,454],[427],{"code":458,"score":13,"supported":57,"title":459,"abstract":460,"tags":464},"I3",[],[461,462,463],"遥感","remote sensing","multispectral",[428],{"code":45,"score":111,"supported":57,"title":466,"abstract":467,"tags":468},[],[60,46],[],{"code":280,"score":148,"supported":57,"title":470,"abstract":471,"tags":472},[],[262],[262],[474,475],"冬小麦 土壤含水量 遥感","多源遥感 机器学习 墒情","冬小麦土壤含水量遥感-5558","10.3390\u002Fagronomy16202071",{"doi":477,"openalex_id":479,"authors":480,"venue":419,"cited_by_count":101,"oa_url":416,"card":490,"direction":334,"ingested_from":108},"W7223156204",[481,484,486,488],{"name":482,"orcid":483},"Mingliang Jiang","https:\u002F\u002Forcid.org\u002F0000-0002-6486-6087",{"name":485,"orcid":9},"Yi Zhang",{"name":487,"orcid":9},"WEI Lei",{"name":489,"orcid":9},"Chengcai Zhang",{"tldr":491,"method":492,"finding":493,"direction":183,"opportunity":494},"融合WCM物理特征与多源遥感，用机器学习估算冬小麦拔节期土壤含水量。","无人机多光谱与SAR数据，WCM参数+光谱指数，BP\u002FSVR\u002FRF建模。","RF最优，R²达0.855，RMSE为0.0253 cm³\u002Fcm³，特征方案影响显著。","可探索物理约束与深度学习耦合，并迁移至多生育期、多作物及不同土壤质地验证。","2026-10-22T11:20:18.887301Z",{"id":497,"title":498,"url":499,"summary":500,"summary_zh":501,"content":9,"source_name":252,"source_url":499,"published_at":502,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":254,"score_detail":503,"sources":505,"tags":507,"primary_topic":511,"secondary_topics":515,"classification":518,"search_phrases":567,"slug":570,"view_count":101,"doi":571,"paper":572,"created_at":595},5483,"Soil Salinity under Climate Change in Pakistan: Emerging Challenges and Sustainable Management Approaches for Agriculture","https:\u002F\u002Fdoi.org\u002F10.71317\u002Fkjard.2.10.2026.883","Soil salinity is a major constraint to agricultural productivity, soil health, and food security in Pakistan, particularly under changing climatic conditions. Rising temperatures, increased evapotranspiration, irregular precipitation, droughts, flooding, and sea-level rise can intensify salt accumulation and alter soil–water interactions. This review examines the emerging challenges associated with climate change and soil salinity in Pakistan, focusing on their impacts on soil properties, crop physiology, agricultural production, and rural livelihoods. It discusses the mechanisms of soil salinity and sodicity, their spatial distribution, and the interactions among climate variability, irrigation practices, groundwater quality, and secondary salinization. Furthermore, sustainable management approaches are evaluated, including gypsum application, organic amendments, integrated nutrient management, efficient irrigation, drainage improvement, and appropriate leaching strategies. Climate-resilient approaches, such as conventional crop breeding, modern biotechnology, halophyte utilization, plant growth-promoting microorganisms, and mycorrhizal associations, are also explored. The review highlights the potential of remote sensing, geographic information systems, precision agriculture, and predictive modelling to support salinity monitoring and site-specific management. Despite these opportunities, important challenges remain, including insufficient long-term monitoring, limited region-specific data, economic constraints, and gaps in farmer awareness and institutional coordination. Addressing these challenges requires integrated research, effective agricultural policies, improved extension services, and collaboration among researchers, policymakers, and farming communities. Prioritizing locally adapted, economically feasible, and environmentally sustainable interventions can strengthen agricultural resilience, restore salt-affected soils, and protect freshwater resources. Overall, integrating climate adaptation with sustainable soil and water management is essential for maintaining agricultural productivity and improving long-term food security in Pakistan.","土壤盐渍化是制约巴基斯坦农业生产力、土壤健康和粮食安全的主要因素，在气候变化条件下尤为突出。气温升高、蒸散加剧、降水不规律、干旱、洪水以及海平面上升可能加剧盐分积累并改变土壤—水相互作用。本文综述了巴基斯坦气候变化与土壤盐渍化相关的新兴挑战，重点关注其对土壤性质、作物生理、农业生产和农村生计的影响。文章讨论了土壤盐渍化和钠质化的机制、其空间分布，以及气候变率、灌溉实践、地下水质量和次生盐渍化之间的相互作用。此外，评估了可持续管理途径，包括施用石膏、有机改良、综合养分管理、高效灌溉、排水改良和适宜的淋洗策略。还探讨了气候韧性方法，如常规作物育种、现代生物技术、盐生植物利用、植物促生微生物和菌根共生。本文强调了遥感、地理信息系统、精准农业和预测建模在支持盐渍化监测和因地制宜管理方面的潜力。尽管存在这些机遇，重要挑战依然存在，包括长期监测不足、区域特定数据有限、经济制约以及农民意识和制度协调方面的差距。应对这些挑战需要综合研究、有效的农业政策、改进的推广服务以及研究人员、政策制定者和农业社区之间的协作。优先采取适应当地、经济可行且环境可持续的干预措施，可增强农业韧性、修复盐渍化土壤并保护淡水资源。总体而言，将气候适应与可持续水土管理相结合，对于维持巴基斯坦农业生产力和改善长期粮食安全至关重要。","2026-10-20T00:00:00Z",{"impact":20,"substance":56,"depth":65,"authority":208,"freshness":21,"relevant":22,"comment":504},"综述性论文，系统梳理气候变化下巴基斯坦土壤盐渍化成因与可持续治理路径，兼具遥感与精准农业视角，对盐碱地治理议题有参考价值，但属区域性综述、非突破性成果。",[506],{"name":252,"url":499},[508,129,428,509,510],"气候变化","智慧灌溉","土壤盐渍化",{"code":83,"slug":512,"name":513,"path":514,"parent_code":43},"climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate",[516,517],{"code":39,"slug":40,"name":41,"path":42,"parent_code":43},{"code":45,"slug":46,"name":47,"path":48,"parent_code":43},{"status":50,"locked":14,"version":51,"method":52,"evidence":519},{"candidates":520,"agricultural_evidence":57},[521,527,531,535,539,543,549,556,561],{"code":83,"score":56,"supported":57,"title":522,"abstract":524,"tags":526},[523],"climate change",[508,525,87,523],"气候适应",[508],{"code":39,"score":65,"supported":57,"title":528,"abstract":529,"tags":530},[40],[72,40],[129],{"code":45,"score":13,"supported":57,"title":532,"abstract":533,"tags":534},[],[60,61,46,62],[509],{"code":458,"score":369,"supported":57,"title":536,"abstract":537,"tags":538},[],[461,462],[428],{"code":376,"score":111,"supported":57,"title":540,"abstract":541,"tags":542},[],[379,380],[],{"code":280,"score":111,"supported":57,"title":544,"abstract":545,"tags":548},[],[546,547],"精准农业","precision agriculture",[],{"code":550,"score":111,"supported":57,"title":551,"abstract":552,"tags":555},"I4",[],[553,554],"地理信息","geographic information",[],{"code":368,"score":84,"supported":57,"title":557,"abstract":558,"tags":560},[],[559],"养分管理",[],{"code":562,"score":84,"supported":57,"title":563,"abstract":564,"tags":566},"J1",[],[565],"农业政策",[],[568,569],"巴基斯坦 土壤盐渍化","盐碱地 遥感监测","巴基斯坦土壤盐渍化-5483","10.71317\u002Fkjard.2.10.2026.883",{"doi":571,"openalex_id":573,"authors":574,"venue":252,"cited_by_count":101,"oa_url":499,"card":590,"direction":183,"ingested_from":108},"W7222999158",[575,577,579,581,583,585,588],{"name":576,"orcid":9},"Asifa Naz",{"name":578,"orcid":9},"Muhammad Abu Baker Siddiq",{"name":580,"orcid":9},"Syed Asghar Hussain Shah",{"name":582,"orcid":9},"Shahrish Nawaz",{"name":584,"orcid":9},"Muhmmad Irfan",{"name":586,"orcid":587},"Rizwana Kausar","https:\u002F\u002Forcid.org\u002F0000-0002-1339-3312",{"name":589,"orcid":9},"Muhammad Nouman Khalid",{"tldr":591,"method":592,"finding":593,"direction":183,"opportunity":594},"综述气候变化下巴基斯坦土壤盐渍化的挑战与可持续管理途径。","文献综述，整合盐渍化机制、空间分布及遥感GIS与预测模型应用。","需将气候适应与水土管理结合，优先本地化、经济可行的干预措施。","可填补长期盐渍化监测与区域数据空白，发展遥感+预测模型的精准分区治理。","2026-10-21T23:30:23.059448Z"]