[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3762":3,"related-3762":107},{"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":23,"tags":25,"primary_topic":31,"secondary_topics":37,"classification":44,"search_phrases":85,"slug":88,"view_count":21,"doi":89,"paper":90,"created_at":106},3762,"Nitrogen-centered nutrient innovation for decoupling agricultural productivity from greenhouse-gas intensity: evidence, limits, and implementation pathways","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1934315","Increasing agricultural production while lowering greenhouse-gas (GHG) intensity is a defining challenge for climate-smart agrifood systems. This critical review evaluates nitrogen-centered nutrient innovations through a boundary-explicit, two-axis framework: evidence confidence for a stated productivity-GHG decoupling outcome and implementation readiness in a specified context. The synthesis covers enhanced-efficiency fertilizers (EEFs), biological nitrogen fixation (BNF), biological nitrification inhibition (BNI), site-specific nutrient management (SSNM), 4R stewardship, precision placement, digital decision support, circular nitrogen recovery, and integrated nutrient management (INM). Direct evidence requires paired crop-output and GHG data; nitrogen-use efficiency, fertilizer savings, nutrient-loss reduction, or soil-quality responses alone are classified as partial or supporting evidence. Evidence confidence is highest for locally calibrated SSNM, 4R rate-timing-placement practices, and selected EEFs in high-surplus or high-loss systems, although performance varies with crop, soil, climate, baseline nitrogen rate, and the measured boundary. Implementation readiness is high for established stewardship practices, moderate and context-dependent for EEFs, digital tools, recovered products, and BNI, and low for many nanofertilizers and non-legume microbial inoculants. Circular products may provide life-cycle benefits, but results depend on allocation, substitution, transport, energy, indirect N 2 O, and avoided-waste assumptions. Short-term biogenic soil CO 2 flux is not treated as fossil climate forcing; soil-carbon benefits require stock-change measurements with defined depth, baseline, duration, and permanence. Evidence is concentrated in cereal and high-input systems, and publication, language, citation-selection, and outcome-reporting biases limit generalization. Reliable decoupling therefore requires integrated portfolios, transparent accounting, independent field validation, and performance-oriented policy rather than claims based on input reduction alone.","在降低温室气体（GHG）强度的同时提高农业生产，是气候智慧型农食系统面临的一项决定性挑战。本批判性综述通过一个边界明确的双轴框架，评估以氮为中心的养分创新：针对特定生产力—温室气体脱钩结果的证据置信度，以及在特定情境下的实施就绪度。综述涵盖增效肥料（EEFs）、生物固氮（BNF）、生物硝化抑制（BNI）、位点特异性养分管理（SSNM）、4R管理、精准施肥、数字决策支持、循环氮回收和综合养分管理（INM）。直接证据要求配对的作物产量与温室气体数据；仅凭氮利用效率、肥料节约、养分损失减少或土壤质量响应，被归类为部分证据或支持性证据。对于经本地校准的SSNM、4R用量—时间—位置实践，以及在高盈余或高损失系统中选用的增效肥料，证据置信度最高，但其表现因作物、土壤、气候、基线氮用量和所测边界而异。实施就绪度对于成熟的管理实践较高，对于增效肥料、数字工具、回收产品和生物硝化抑制为中等且依赖情境，对于许多纳米肥料和非豆科微生物接种剂则较低。循环产品可能提供生命周期效益，但结果取决于分配、替代、运输、能源、间接N₂O和避免废弃物等假设。短期生物源土壤CO₂通量不被视为化石气候强迫；土壤碳效益需要具有明确深度、基线、持续时间和永久性的碳储量变化测量。证据集中于谷类作物和高投入系统，发表、语言、引用选择和结果报告偏倚限制了外推。因此，可靠的脱钩需要综合方案组合、透明核算、独立田间验证和以绩效为导向的政策，而非仅基于投入减少的宣称。",null,"Frontiers in Sustainable Food Systems","2026-09-28T00:00:00Z","论文",10,false,80,{"impact":17,"substance":18,"depth":17,"authority":19,"freshness":20,"relevant":21,"comment":22},18,22,13,9,1,"系统综述氮素创新对农业生产与温室气体强度脱钩的证据与落地路径，方法框架清晰、结论审慎，对农业绿色低碳与智慧养分管理有参考价值。",[24],{"name":10,"url":6},[26,27,28,29,30],"养分管理","农业减排","农业绿色低碳","氮肥增效","数字决策支持",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},"B7","protected-horticulture","设施园艺与植物工厂","\u002Ftopic\u002Fhorticulture\u002Fprotected-horticulture","B",[38],{"code":39,"slug":40,"name":41,"path":42,"parent_code":43},"F3","fertilizers","肥料与水肥一体化","\u002Ftopic\u002Finputs-equipment\u002Ffertilizers","F",{"status":45,"locked":14,"version":46,"method":47,"evidence":48},"classified","2026-10-22.2","rules",{"candidates":49,"agricultural_evidence":52},[50,58,65,73,80],{"code":32,"score":51,"supported":52,"title":53,"abstract":55,"tags":57},14,true,[54],"greenhouse",[56,54],"温室",[],{"code":39,"score":13,"supported":52,"title":59,"abstract":60,"tags":64},[],[61,62,26,63],"施肥","肥料","fertilizer",[26],{"code":66,"score":67,"supported":52,"title":68,"abstract":69,"tags":72},"H2",6,[],[70,71],"土壤","soil",[],{"code":74,"score":75,"supported":52,"title":76,"abstract":77,"tags":79},"I2",3,[],[78],"decision support",[],{"code":81,"score":21,"supported":14,"title":82,"abstract":83,"tags":84},"H4",[],[],[27],[86,87],"氮肥增效 温室气体 减排","4R养分管理 精准施肥","氮肥增效温室气体减排-3762","10.3389\u002Ffsufs.2026.1934315",{"doi":89,"openalex_id":91,"authors":92,"venue":10,"cited_by_count":96,"oa_url":97,"card":98,"direction":104,"ingested_from":105},"W7214627055",[93],{"name":94,"orcid":95},"Bonface Ombasa Manono","https:\u002F\u002Forcid.org\u002F0000-0001-9150-2126",0,"https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1934315\u002Fpdf",{"tldr":99,"method":100,"finding":101,"direction":102,"opportunity":103},"综述氮素创新技术能否在保障产量的同时降低农业温室气体强度，并评估证据与实施就绪度。","边界明确的双轴框架，综述EEFs、BNF、BNI、SSNM、4R、数字决策支持等","SSNM、4R和部分EEFs证据最强，但效果受作物、土壤、气候和基线氮量影响。","农业绿色发展与碳","需在多样化作物与低投入系统中开展独立田间验证，并建立透明核算与政策评估体系。","智慧农业 \u002F 农业物联网","openalex","2026-09-29T23:30:07.225900Z",{"total":67,"page":21,"page_size":67,"items":108},[109,242,303,384,499,574],{"id":110,"title":111,"url":112,"summary":113,"summary_zh":114,"content":9,"source_name":115,"source_url":112,"published_at":116,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":117,"score_detail":118,"sources":120,"tags":122,"primary_topic":127,"secondary_topics":128,"classification":136,"search_phrases":178,"slug":181,"view_count":21,"doi":182,"paper":183,"created_at":241},2021,"The mixed effects of conservation agriculture principles including fertilizer management on greenhouse gas emissions: A scoping review and multi-study synthesis","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.agsy.2026.104909","Context Conservation agriculture (CA) has gained attention over the last decade for its potential to mitigate climate change, among other benefits. However, no clear pattern of CA's effect on greenhouse gas emissions exist, due to complex and interactive processes from CA's three main principles including appropriate fertilizer use as the fourth proposed principle of CA. Objective A comprehensive literature search was conducted to review evidence on the effect of CA's three main principles (reduced tillage, mulching, crop diversification) including appropriate fertilizer management on greenhouse gas (nitrous oxide–N 2 O, carbon dioxide–CO 2 , methane–CH 4 ) emissions. Methods We reviewed 422 out of 3452 publications to assess the relative strength of evidence on effects of reduced tillage, mulching and fertilizer management on greenhouse gas emissions, with an in-depth multi-study synthesis on crop rotation and experimental characteristics. Control treatments included conventional tillage, zero mulch, monocropping and standard mineral nitrogen (N) fertilizer application. Results and conclusions There was good (73%) and some (46%) evidence that reduced tillage practices reduce CO 2 and N 2 O emissions, respectively. There was some evidence that mulching increases N 2 O (46%) and CO 2 (55%) emissions while the effects of different fertilizer management strategies on greenhouse gas emissions were mixed. The multi-study analysis showed an association of nitrogen fertilizer category, N fertilizer rate and overall rotation type with CH 4 emission. However, the CH 4 distribution was highly inconsistent. Overall, continuous legume-legume rotation was associated with decreases in CO 2 compared to continuous cereal-cereal rotations. The cereal-cereal rotation up to and including the current crop was associated with an increase in CO 2 emission relative to a monocrop. Nitrous oxide was associated with the N fertilizer application rate with the medium N fertilizer rate (102–175 kg N ha −1 ) associated with increases in N 2 O compared to the zero N control. Significance Our study highlights the effect of CA's three main principles and appropriate fertilizer use on greenhouse gas emissions under different cropping systems and agroecological regions, and the need for standardised reporting to ensure continued importance of field experiments, particularly long-term experiments, in providing empirical evidence on impacts of agronomic practices on global environmental change.","背景 保护性农业（CA）因其在减缓气候变化等方面的潜在效益，在过去十年中受到关注。然而，由于保护性农业三项主要原则及其作为第四项拟议原则的合理施肥之间复杂的交互过程，保护性农业对温室气体排放的影响尚无明确规律。目的 本研究进行了全面的文献检索，以综述保护性农业三项主要原则（减少耕作、覆盖、作物多样化）及合理施肥管理对温室气体（一氧化二氮–N₂O、二氧化碳–CO₂、甲烷–CH₄）排放影响的证据。方法 我们从3452篇文献中筛选出422篇进行综述，以评估减少耕作、覆盖和施肥管理对温室气体排放影响的证据相对强度，并对作物轮作和试验特征进行了深入的多研究综合分析。对照处理包括常规耕作、无覆盖、单作和标准矿质氮（N）肥施用。结果与结论 有良好证据（73%）和一些证据（46%）表明，减少耕作措施分别降低CO₂和N₂O排放。有一些证据表明，覆盖增加了N₂O（46%）和CO₂（55%）排放，而不同施肥管理策略对温室气体排放的影响则好坏参半。多研究分析显示，氮肥类别、氮肥施用量和总体轮作类型与CH₄排放存在关联。然而，CH₄分布高度不一致。总体而言，与连续谷类-谷类轮作相比，连续豆类-豆类轮作与CO₂排放减少相关。与单作相比，截至并包括当前作物的谷类-谷类轮作与CO₂排放增加相关。一氧化二氮与氮肥施用量相关，中等氮肥施用量（102–175 kg N ha⁻¹）与零氮对照相比增加了N₂O排放。意义 本研究强调了保护性农业三项主要原则及合理施肥在不同种植制度和农业生态区域下对温室气体排放的影响，并指出需要标准化报告，以确保田间试验，特别是长期试验，在提供农艺措施对全球环境变化影响的实证证据方面持续发挥重要作用。","Agricultural Systems","2026-09-09T00:00:00Z",81,{"impact":17,"substance":18,"depth":17,"authority":51,"freshness":20,"relevant":21,"comment":119},"基于3452篇文献筛选422篇的保护性农业温室气体效应综述，方法扎实、结论具参考价值，但属学术综述而非产业级突破，适合作为专业精选。",[121],{"name":115,"url":112},[123,124,27,125,126],"温室气体","保护性农业","施肥管理","免耕覆盖",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[129,130],{"code":39,"slug":40,"name":41,"path":42,"parent_code":43},{"code":131,"slug":132,"name":133,"path":134,"parent_code":135},"H8","sustainable-agriculture","可持续与保护性农业","\u002Ftopic\u002Fenvironment\u002Fsustainable-agriculture","H",{"status":45,"locked":14,"version":46,"method":47,"evidence":137},{"candidates":138,"agricultural_evidence":52},[139,143,147,153,160,167,173],{"code":32,"score":51,"supported":52,"title":140,"abstract":141,"tags":142},[54],[56,54],[],{"code":39,"score":51,"supported":52,"title":144,"abstract":145,"tags":146},[63],[61,63],[],{"code":131,"score":148,"supported":52,"title":149,"abstract":151,"tags":152},12,[150],"conservation agriculture",[150],[124],{"code":154,"score":67,"supported":52,"title":155,"abstract":156,"tags":159},"A7",[],[157,158],"轮作","crop rotation",[],{"code":161,"score":67,"supported":52,"title":162,"abstract":163,"tags":166},"H7",[],[164,165],"气候变化","climate change",[],{"code":168,"score":75,"supported":52,"title":169,"abstract":170,"tags":172},"H6",[],[171],"农业生态",[],{"code":81,"score":174,"supported":14,"title":175,"abstract":176,"tags":177},2,[],[],[27,123],[179,180],"保护性农业 免耕覆盖 农业减排 施肥管理","保护性农业 免耕覆盖","保护性农业免耕覆盖农业减排施肥管理-2021","10.1016\u002Fj.agsy.2026.104909",{"doi":182,"openalex_id":184,"authors":185,"venue":115,"cited_by_count":96,"oa_url":112,"card":236,"direction":102,"ingested_from":105},"W7212036648",[186,188,191,193,195,198,201,204,206,208,211,213,216,218,220,222,224,227,230,233],{"name":187,"orcid":9},"Muneta G. Manzeke-Kangara",{"name":189,"orcid":190},"Aranzazu Louro-Lopez","https:\u002F\u002Forcid.org\u002F0000-0002-1634-8664",{"name":192,"orcid":9},"Teri-Louise North",{"name":194,"orcid":9},"Clinton Fowler",{"name":196,"orcid":197},"Vengai Mbanyele","https:\u002F\u002Forcid.org\u002F0009-0008-2539-8795",{"name":199,"orcid":200},"Hannah V. Cooper","https:\u002F\u002Forcid.org\u002F0000-0003-2576-3429",{"name":202,"orcid":203},"Boitumelo Molise","https:\u002F\u002Forcid.org\u002F0000-0002-9700-0511",{"name":205,"orcid":9},"Tabisa Thandathu",{"name":207,"orcid":9},"Ivy S. Ligowe",{"name":209,"orcid":210},"Hatirarami Nezomba","https:\u002F\u002Forcid.org\u002F0000-0003-1370-1888",{"name":212,"orcid":9},"Jerry C. Dlamini",{"name":214,"orcid":215},"Elijah Phiri","https:\u002F\u002Forcid.org\u002F0000-0002-3637-3509",{"name":217,"orcid":9},"Patson C. Nalivata",{"name":219,"orcid":9},"A. Mead",{"name":221,"orcid":9},"Jess Hood",{"name":223,"orcid":9},"Andrew S. Gregory",{"name":225,"orcid":226},"Alice E. Milne","https:\u002F\u002Forcid.org\u002F0000-0002-4509-0578",{"name":228,"orcid":229},"Z. Sawińska","https:\u002F\u002Forcid.org\u002F0000-0002-7030-3221",{"name":231,"orcid":232},"Dominika Radzikowska","https:\u002F\u002Forcid.org\u002F0000-0001-6989-1348",{"name":234,"orcid":235},"Stanisław Świtek","https:\u002F\u002Forcid.org\u002F0000-0003-3794-5780",{"tldr":237,"method":238,"finding":239,"direction":102,"opportunity":240},"综述422篇文献，综合评估保护性农业三原则及合理施肥对温室气体排放的混合影响。","范围综述与多研究综合，分析3452篇中422篇，比较免耕、覆盖、轮作与施肥管理。","免耕减CO2和N2O，覆盖增N2O和CO2，施肥影响不一，豆科连作减CO2，中氮增N2O。","需标准化报告长期试验，探究保护性农业各原则与施肥对温室气体排放的交互及区域差异机制。","2026-09-10T23:30:04.405140Z",{"id":243,"title":244,"url":245,"summary":246,"summary_zh":247,"content":9,"source_name":10,"source_url":245,"published_at":248,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":249,"score_detail":250,"sources":253,"tags":255,"primary_topic":260,"secondary_topics":261,"classification":262,"search_phrases":280,"slug":283,"view_count":96,"doi":284,"paper":285,"created_at":302},5371,"Achieving sustainable nutrient self-sufficiency in Sweden: a long-term scenario assessment","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1952306","Introduction Ensuring long-term food security while operating within planetary boundaries requires nutrient management strategies that reduce import dependency without shifting environmental burdens. This study develops and evaluates four contrasting normative scenarios for nutrient management in Sweden in 2045: industrial-scale domestic fertilizer production, industrial-scale nutrient recovery, decentralized “fork-to-backyard” nutrient cycling, and response diversity. Methods The scenarios were assessed using the Sustainability Assessment Framework for Scenarios (SAFS). The framework defines relevant contextual factors and applies a structured qualitative assessment across technological, environmental, and social\u002Fgovernance dimensions. Resource use and circularity were assessed within the environmental dimension, while self-sufficiency was treated as a shared scenario objective. An interrelation analysis and an ordinal scoring scale were used to identify and compare risks, opportunities, trade-offs, and uncertainties without ranking the scenarios. Results The assessment revealed persistent trade-offs that are relevant not only to Sweden but also to other high-input, import-dependent agri-food systems seeking greater nutrient self-sufficiency. Decentralized recycling showed the greatest potential to improve climate and eutrophication outcomes and strengthen democratic participation but involved high implementation and operational complexity, as well as demanding quality assurance requirements. Industrial recovery improved eutrophication performance and circularity while maintaining standardized fertilizer products, but depended on energy and process trade-offs and required substantial investments. Industrial production provided predictable products and perceived safety benefits but risked higher resource intensity and did not inherently reduce pressure on biogeochemical planetary boundaries. Response diversity increased resilience and reduced dependence on single supply pathways but could require greater resource use and coordination. Discussion The combined scenario and SAFS approach clarified key risks, opportunities, and uncertainties, including the influence of electricity mix, achievable nutrient-loss reductions, and contaminant control. The results demonstrate that no single pathway resolves all sustainability challenges and highlight the importance of considering technological, environmental, and governance dimensions simultaneously when designing nutrient self-sufficiency strategies. The approach can support decision-making in Sweden and other regions facing similar sustainability, governance, and supply-security challenges.","引言 在地球边界内确保长期粮食安全，需要既能减少进口依赖又不转移环境负担的养分管理策略。本研究针对瑞典2045年的养分管理，开发并评估了四种相互对照的规范性情景：工业化国内肥料生产、工业化养分回收、去中心化“从餐桌到后院”的养分循环，以及响应多样性。方法 采用情景可持续性评估框架（Sustainability Assessment Framework for Scenarios, SAFS）对这些情景进行评估。该框架界定了相关情境因素，并在技术、环境和社会\u002F治理维度上应用结构化的定性评估。资源利用和循环性在环境维度内评估，而自给自足则被视为各情景的共同目标。采用相互关系分析和序数评分量表来识别和比较风险、机遇、权衡与不确定性，而不对情景进行排序。结果 评估揭示了持续存在的权衡，这些权衡不仅与瑞典相关，也与其他寻求更高养分自给率的高投入、依赖进口的农食系统相关。去中心化回收在改善气候和富营养化结果以及加强民主参与方面显示出最大潜力，但实施和运营复杂性高，且质量保证要求苛刻。工业化回收改善了富营养化表现和循环性，同时维持了标准化肥料产品，但依赖能源和工艺权衡，并需要大量投资。工业化生产提供了可预测的产品和感知到的安全效益，但存在资源强度较高的风险，且并未从根本上减轻对生物地球化学地球边界的压力。响应多样性增强了韧性并减少了对单一供应路径的依赖，但可能需要更多的资源利用和协调。讨论 情景与SAFS相结合的方法阐明了关键风险、机遇和不确定性，包括电力结构的影响、可实现的养分损失削减以及污染物控制。结果表明，没有任何单一途径能够解决所有可持续性挑战，并凸显了在设计养分管理策略时同时考虑技术、环境和治理维度的重要性。","2026-10-19T00:00:00Z",79,{"impact":17,"substance":18,"depth":17,"authority":19,"freshness":251,"relevant":21,"comment":252},8,"该研究以瑞典为对象，系统比较四种养分自给路径的权衡，方法规范、结论对高投入进口依赖型农业体系有借鉴价值，但属境外情景研究，国内落地影响有限。",[254],{"name":10,"url":245},[256,257,258,26,259],"粮食安全","可持续农业","循环农业","瑞典",{"code":39,"slug":40,"name":41,"path":42,"parent_code":43},[],{"status":45,"locked":14,"version":46,"method":47,"evidence":263},{"candidates":264,"agricultural_evidence":52},[265,269,276],{"code":39,"score":13,"supported":52,"title":266,"abstract":267,"tags":268},[],[62,26,63],[26],{"code":270,"score":271,"supported":52,"title":272,"abstract":273,"tags":275},"A8",7,[],[256,274],"food security",[256],{"code":131,"score":174,"supported":14,"title":277,"abstract":278,"tags":279},[],[],[257,258],[281,282],"瑞典 养分自给 情景评估","Frontiers 可持续食物系统 养分循环","瑞典养分自给情景评估-5371","10.3389\u002Ffsufs.2026.1952306",{"doi":284,"openalex_id":286,"authors":287,"venue":10,"cited_by_count":96,"oa_url":296,"card":297,"direction":102,"ingested_from":105},"W7222945601",[288,290,293],{"name":289,"orcid":9},"Priscila de Morais Lima",{"name":291,"orcid":292},"Verena Germann","https:\u002F\u002Forcid.org\u002F0000-0002-3867-0953",{"name":294,"orcid":295},"Jennifer Rae McConville","https:\u002F\u002Forcid.org\u002F0000-0003-0373-685X","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1952306\u002Fpdf",{"tldr":298,"method":299,"finding":300,"direction":102,"opportunity":301},"评估瑞典2045年四种养分管理情景，比较其可持续性与自给自足潜力。","用SAFS框架对四种规范情景做技术、环境、社会维度的定性评估与互关系分析。","无单一方案能解决所有挑战，分散循环在气候与富营养化上最优但实施复杂。","可将情景评估框架与养分循环模型耦合，量化电力结构、损失削减与污染物控制的不确定性。","2026-10-20T23:30:06.714933Z",{"id":304,"title":305,"url":306,"summary":307,"summary_zh":308,"content":9,"source_name":309,"source_url":306,"published_at":310,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":311,"score_detail":312,"sources":316,"tags":318,"primary_topic":324,"secondary_topics":329,"classification":331,"search_phrases":365,"slug":368,"view_count":21,"doi":369,"paper":370,"created_at":383},4694,"Precision Agriculture Approaches for Nutrient Management in Maize: A Comprehensive Review of Productivity, Efficiency and Economic Benefits","https:\u002F\u002Fdoi.org\u002F10.9734\u002Fjeai\u002F2026\u002Fv48i104559","Maize nutrient management is an unusually demanding target for precision agriculture because crop demand, soil nutrient supply, weather, rooting conditions and management history vary simultaneously across space and time. Uniform fertiliser programmes can therefore be efficient in one part of a field and inefficient in another, while a recommendation that is appropriate before planting may become suboptimal after rainfall, mineralisation and crop establishment have altered nutrient availability. This critical narrative review evaluates precision approaches for nutrient management in maize, with emphasis on productivity, nutrient-use efficiency and farm-level economic performance. Literature published from 1 January 1990 to 2 August 2026 was examined using agricultural and multidisciplinary scholarly sources, supplemented by citation searching and bibliographic verification. The evidence was organised around the decision chain linking measurement, diagnosis, prescription and nutrient application. Strongest empirical support exists for site-specific and in-season nitrogen management because nitrogen is mobile, strongly coupled to weather and readily expressed in canopy signals. Chlorophyll meters, active optical sensors, aerial and unmanned aerial vehicle imagery, management zones, crop models and machine-learning approaches can improve the timing or spatial targeting of nitrogen, but diagnostic accuracy does not automatically translate into an economically superior fertiliser prescription. Multi-nutrient decision-support systems broaden precision management beyond nitrogen and can improve the balance of nitrogen, phosphorus and potassium, particularly where farmer practice is poorly aligned with crop demand. Across the evidence base, yield gains are often modest when conventional fertilisation is already adequate; benefits more consistently arise through reduced excess nutrient use, improved nutrient-use efficiency, better risk management or correction of under-fertilisation. Profitability is highly conditional on field heterogeneity, fertiliser and grain prices, baseline management, technology cost, scale and weather. Future progress requires multi-year on-farm validation of complete decision chains, stronger treatment of uncertainty and multi-stress confounding, improved multi-nutrient diagnostics, and economic evaluations that include fixed, transaction and information costs. Precision nutrient management is best understood as an adaptive decision framework rather than a single sensor or variable-rate technology.","玉米养分管理对精准农业而言是一个异常苛刻的目标，因为作物需求、土壤养分供应、天气、根系条件和管理历史在空间和时间上同时变化。因此，均匀施肥方案在田块某一部分可能高效，而在另一部分则可能低效；而播种前适宜的推荐方案，在降雨、矿化和作物建成改变养分有效性之后，也可能变得次优。这篇批判性叙述综述评估了玉米养分管理的精准方法，重点关注生产力、养分利用效率和农场层面经济表现。利用农业与多学科学术来源，检索了1990年1月1日至2026年8月2日发表的文献，并以引文检索和书目核验作为补充。证据围绕连接测量、诊断、处方和养分施用的决策链进行组织。最强的实证支持存在于位点特异性和季内氮管理，因为氮具有移动性、与天气强耦合，并易于在冠层信号中表达。叶绿素仪、主动光学传感器、航空和无人机影像、管理分区、作物模型和机器学习方法可以改善氮的施用时机或空间靶向，但诊断准确性并不会自动转化为经济上更优的施肥处方。多养分决策支持系统将精准管理扩展到氮之外，并能改善氮、磷、钾的平衡，尤其是在农户实践与作物需求严重不匹配的情况下。在整个证据基础中，当常规施肥已经充足时，产量增益往往有限；效益更一致地来自减少过量养分使用、提高养分利用效率、改善风险管理或纠正施肥不足。盈利能力高度取决于田块异质性、肥料和谷物价格、基线管理、技术成本、规模和天气。未来进展需要对完整决策链进行多年农场验证，更有力地处理不确定性和多胁迫混杂，改进多养分诊断，以及纳入固定成本、交易成本和信息成本的经济评价。精准养分管理最好被理解为一个适应性决策框架","Journal of Experimental Agriculture International","2026-10-10T00:00:00Z",71,{"impact":148,"substance":313,"depth":314,"authority":19,"freshness":20,"relevant":21,"comment":315},20,17,"系统综述精准养分管理在玉米上的产量、效率与经济性证据，方法学扎实但属学术综述，产业落地价值需长期验证。",[317],{"name":309,"url":306},[319,320,321,322,323,26],"智慧农业","变量施肥","玉米","精准农业","遥感监测",{"code":325,"slug":326,"name":321,"path":327,"parent_code":328},"A3","maize","\u002Ftopic\u002Ffield-crops\u002Fmaize","A",[330],{"code":39,"slug":40,"name":41,"path":42,"parent_code":43},{"status":45,"locked":14,"version":46,"method":47,"evidence":332},{"candidates":333,"agricultural_evidence":52},[334,341,346,351,355,360],{"code":335,"score":336,"supported":52,"title":337,"abstract":339,"tags":340},"I1",16,[338],"precision agriculture",[322,338],[319,322],{"code":325,"score":342,"supported":52,"title":343,"abstract":344,"tags":345},15,[326],[321,326],[321],{"code":39,"score":347,"supported":52,"title":348,"abstract":349,"tags":350},11,[],[61,62,26],[26,320],{"code":66,"score":67,"supported":52,"title":352,"abstract":353,"tags":354},[],[70,71],[],{"code":74,"score":75,"supported":52,"title":356,"abstract":357,"tags":359},[],[358],"机器学习",[],{"code":361,"score":21,"supported":14,"title":362,"abstract":363,"tags":364},"I3",[],[],[323],[366,367],"玉米 精准施肥 氮肥管理","遥感 变量施肥 养分利用效率","玉米精准施肥氮肥管理-4694","10.9734\u002Fjeai\u002F2026\u002Fv48i104559",{"doi":369,"openalex_id":371,"authors":372,"venue":309,"cited_by_count":96,"oa_url":306,"card":377,"direction":381,"ingested_from":105},"W7221366291",[373,375],{"name":374,"orcid":9},"Piyali Pal",{"name":376,"orcid":9},"Disha Chattopadhyay",{"tldr":378,"method":379,"finding":380,"direction":381,"opportunity":382},"综述玉米精准养分管理在生产力、效率与经济效益上的证据与局限。","系统检索1990-2026年文献，按测量-诊断-处方-施用决策链组织证据。","氮素精准管理证据最强，但诊断精度不必然带来经济更优的施肥处方。","农业人工智能与决策模型","亟需多年多点田间验证完整决策链，并纳入不确定性、多养分诊断与信息成本的经济评价。","2026-10-11T23:30:51.450082Z",{"id":385,"title":386,"url":387,"summary":388,"summary_zh":389,"content":9,"source_name":115,"source_url":387,"published_at":390,"category":12,"cover_url":9,"hotness":13,"is_selected":52,"score":391,"score_detail":392,"sources":397,"tags":399,"primary_topic":403,"secondary_topics":407,"classification":414,"search_phrases":451,"slug":454,"view_count":439,"doi":455,"paper":456,"created_at":498},2912,"Spatial optimization of water-saving irrigation in Chinese rice paddies: Balancing yield, greenhouse gases, and cost using NSGA-II","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.agsy.2026.104976","CONTEXT Optimizing the spatial allocation of water-saving irrigation (WSI) promotion is critical for balancing rice production, greenhouse gas (GHG) mitigation, and economic costs, yet remains challenging at a national scale due to computational intractability. OBJECTIVE This study aims to develop a spatially explicit optimization framework to identify WSI promotion pathways across China's rice paddies that simultaneously maximize yield gain, maximize GHG reduction, and minimize implementation cost. METHODS We coupled K-means clustering with a multi-objective evolutionary algorithm (NSGA-II). Based on machine-learning predicted yield and GHG emissions for 157,417 flooded irrigation grids, we first clustered these grids into 500 environmentally and agronomically homogeneous groups. We then formulated a continuous optimization problem with cluster-level conversion rates as decision variables, simultaneously maximizing national yield gain, maximizing GHG reduction, and minimizing implementation cost. RESULTS AND CONCLUSIONS The Pareto front comprised 100 non-dominated solutions spanning promotion rates from 61.8% to 80.3%. The optimal solution, selected by normalized scoring, achieved 6.47 Mt. yield gain and 63.5 Mt. CO 2 e GHG reduction at a cost of 10.14 billion CNY, corresponding to a national promotion rate of 80.3%. Cluster-scale conversion rates exhibited significant spatial heterogeneity and positive correlation with cluster size ( r = 0.23), revealing economies of scale in WSI promotion. Compared with a random promotion strategy at 90% adoption, our optimized solution delivered 74% higher yield gain with 9.7 percentage points lower promotion effort while achieving comparable GHG reduction. SIGNIFICANCE Our framework provides a spatially explicit decision-support tool for precision agricultural policy, demonstrating that smart spatial allocation can substantially enhance the efficiency of limited resources in scaling climate-smart agricultural practices.","背景 优化节水灌溉（WSI）推广的空间配置对于平衡水稻生产、温室气体（GHG）减排和经济成本至关重要，但由于计算上的不可处理性，在全国尺度上仍具挑战性。目的 本研究旨在开发一个空间显式优化框架，以识别中国稻田的WSI推广路径，同时最大化产量增益、最大化GHG减排并最小化实施成本。方法 我们将K-means聚类与多目标进化算法（NSGA-II）相结合。基于机器学习预测的157,417个淹水灌溉网格的产量和GHG排放，我们首先将这些网格聚类为500个在环境和农艺上同质的组。然后，我们构建了一个以组级转换率为决策变量的连续优化问题，同时最大化全国产量增益、最大化GHG减排并最小化实施成本。结果与结论 Pareto前沿包含100个非支配解，推广率从61.8%到80.3%不等。通过归一化评分选出的最优解实现了6.47 Mt的产量增益和63.5 Mt CO₂e的GHG减排，成本为101.4亿元人民币，对应全国推广率为80.3%。组尺度转换率表现出显著的空间异质性，并与组规模呈正相关（r = 0.23），揭示了WSI推广中的规模经济。与90%采纳率的随机推广策略相比，我们的优化方案在推广力度低9.7个百分点的情况下实现了高出74%的产量增益，同时实现了相当的GHG减排。意义 我们的框架为精准农业政策提供了一个空间显式的决策支持工具，表明智能空间配置可以显著提高有限资源在推广气候智慧型农业实践中的效率。","2026-09-18T00:00:00Z",89,{"impact":393,"substance":394,"depth":395,"authority":51,"freshness":20,"relevant":21,"comment":396},24,23,19,"基于NSGA-II的全国稻田节水灌溉空间优化框架，数据规模大、结论具体，对气候智慧型农业政策有决策参考价值。",[398],{"name":115,"url":387},[319,400,401,402,27],"水稻","空间优化","节水灌溉",{"code":404,"slug":405,"name":400,"path":406,"parent_code":328},"A1","rice","\u002Ftopic\u002Ffield-crops\u002Frice",[408,413],{"code":409,"slug":410,"name":411,"path":412,"parent_code":135},"H3","irrigation","水资源与灌溉","\u002Ftopic\u002Fenvironment\u002Firrigation",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},{"status":45,"locked":14,"version":46,"method":47,"evidence":415},{"candidates":416,"agricultural_evidence":52},[417,422,427,431,438,443,447],{"code":404,"score":17,"supported":52,"title":418,"abstract":419,"tags":421},[405],[400,420,405],"稻田",[400],{"code":409,"score":342,"supported":52,"title":423,"abstract":424,"tags":426},[410],[425,410],"灌溉",[402],{"code":32,"score":51,"supported":52,"title":428,"abstract":429,"tags":430},[54],[56,54],[],{"code":432,"score":67,"supported":52,"title":433,"abstract":434,"tags":437},"J1",[],[435,436],"农业政策","agricultural policy",[],{"code":335,"score":439,"supported":52,"title":440,"abstract":441,"tags":442},4,[],[322],[319],{"code":74,"score":75,"supported":52,"title":444,"abstract":445,"tags":446},[],[358],[],{"code":81,"score":21,"supported":14,"title":448,"abstract":449,"tags":450},[],[],[27],[452,453],"中国稻田 节水灌溉 空间优化","NSGA-II 水稻 温室气体 减排","中国稻田节水灌溉空间优化-2912","10.1016\u002Fj.agsy.2026.104976",{"doi":455,"openalex_id":457,"authors":458,"venue":115,"cited_by_count":96,"oa_url":387,"card":493,"direction":102,"ingested_from":105},"W7213551595",[459,461,464,467,469,471,473,475,478,480,483,486,489,491],{"name":460,"orcid":9},"Qiang Xu",{"name":462,"orcid":463},"Fan Yao","https:\u002F\u002Forcid.org\u002F0000-0002-4393-7296",{"name":465,"orcid":466},"Dan Wei","https:\u002F\u002Forcid.org\u002F0000-0003-4401-567X",{"name":468,"orcid":9},"Hui Gao",{"name":470,"orcid":9},"Min Jiang",{"name":472,"orcid":9},"Wenya Chen",{"name":474,"orcid":9},"Yourui Cao",{"name":476,"orcid":477},"Peng Zhang","https:\u002F\u002Forcid.org\u002F0000-0002-3036-1507",{"name":479,"orcid":9},"A. I. Abdo",{"name":481,"orcid":482},"Liujun Xiao","https:\u002F\u002Forcid.org\u002F0000-0002-1900-1586",{"name":484,"orcid":485},"Hao Liang","https:\u002F\u002Forcid.org\u002F0000-0002-9955-6492",{"name":487,"orcid":488},"Xiaoqing Cui","https:\u002F\u002Forcid.org\u002F0000-0002-1970-5145",{"name":490,"orcid":9},"Xia Liang",{"name":492,"orcid":9},"Huiqing Bai",{"tldr":494,"method":495,"finding":496,"direction":102,"opportunity":497},"构建空间优化框架，为中国稻田节水灌溉推广寻找兼顾产量、温室气体与成本的路径。","耦合K-means聚类与NSGA-II多目标进化算法，基于15.7万网格的机器学","最优方案增产6.47 Mt、减排63.5 Mt CO2e，成本101.4亿元，推广率80.3%，存在","可将该空间优化框架扩展到其他气候智慧型农业技术，并耦合农户采纳行为与政策激励。","2026-09-19T23:30:05.508592Z",{"id":500,"title":501,"url":502,"summary":503,"summary_zh":504,"content":9,"source_name":505,"source_url":502,"published_at":506,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":507,"score_detail":508,"sources":510,"tags":512,"primary_topic":517,"secondary_topics":518,"classification":522,"search_phrases":552,"slug":555,"view_count":174,"doi":556,"paper":557,"created_at":573},2807,"Integrating drip fertigation and nitrification inhibitors for rhizosphere-scale control of nitrogen transformations","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffpls.2026.1894587","Reactive nitrogen (Nr) losses from fertilized agricultural soils remain one of the dominant drivers of groundwater nitrate contamination and nitrous oxide (N 2 O) emissions, yet mitigation strategies are largely designed around input optimization rather than control of in-soil nitrogen transformations. Drip fertigation and nitrification inhibitors (NIs) have independently shown potential to improve nitrogen efficiency, however their integrated effects remain fragmented across irrigation and inhibitor-focused literature. Consequently, an integrated mechanistic framework explaining how drip irrigation-induced microenvironments regulate NI performance and nitrogen transformation is lacking. Here, we argue that the integration of drip fertigation with NIs, hereafter referred to as drip-NIs integration, is best understood as rhizosphere process control rather than input management: drip defines a bounded reaction-transport domain, and NIs slow down the conversion of ammonium (NH 4 + ) to nitrate (NO 3 - ). This review aims to synthesize evidence across NI types, crops, and drip configurations to examine how localized wetting patterns govern ammonium-nitrate partitioning, microbial processes, and inhibitor fate within the root zone. The available evidence suggests that NI performance may depend on spatial and temporal overlap among oxygen recovery, NH 4 + availability, and active ammonia oxidizers within the wetted bulb, however direct spatial validation remains limited. Based on these insights, we propose the Designer Rhizosphere Model (DRM) as a conceptual, hypothesis-generating framework linking controllable design variables (emitter placement, irrigation waveform, fertigation chemistry, NI formulation) with the measurable state variables (oxygen availability, NH 4 + \u002FNO 3 - fields, inhibitor exposure), microbial process rates, and yield-scaled environmental outcomes. The DRM requires validation through spatially field experiments before practical application. The resulting framework suggests that drip-NIs integration may reduce nitrate leaching and greenhouse gas emissions while sustaining productivity, but outcomes are context-dependent and may be constrained by salinity accumulation, acidification, oxygen limitation, ammonium toxicity, and off-target effects. Future research should prioritize spatially resolved measurements, sensor-guided fertigation, drip-compatible inhibitor formulations, and process-based decision support models. Collectively, this review reframes nitrogen management from simple fertilizer placement to rhizosphere process control for improving agricultural sustainability.","施肥农业土壤中的活性氮（Nr）损失仍是地下水硝酸盐污染和一氧化二氮（N₂O）排放的主要驱动因素之一，然而减排策略大多围绕投入优化而非土壤内氮转化的调控来设计。滴灌施肥和硝化抑制剂（NIs）各自已显示出提高氮效率的潜力，但二者的集成效应在灌溉和抑制剂相关文献中仍呈碎片化状态。因此，目前缺乏一个整合性的机理框架来解释滴灌诱导的微环境如何调控硝化抑制剂效能和氮转化。本文认为，将滴灌施肥与硝化抑制剂集成（以下称为滴灌-硝化抑制剂集成）最好理解为根际过程调控而非投入管理：滴灌界定了一个有边界的反应-传输域，硝化抑制剂则减缓铵态氮（NH₄⁺）向硝态氮（NO₃⁻）的转化。本综述旨在综合不同硝化抑制剂类型、作物和滴灌配置下的证据，考察局部湿润模式如何调控根区内铵态氮-硝态氮分配、微生物过程及抑制剂归趋。现有证据表明，硝化抑制剂效能可能取决于湿润体内氧气恢复、NH₄⁺有效性与活跃氨氧化菌之间的时空重叠，然而直接的空间验证仍然有限。基于这些认识，我们提出“设计型根际模型”（Designer Rhizosphere Model, DRM）作为一个概念性的、假设生成框架，将可控设计变量（滴头位置、灌溉波形、施肥化学、硝化抑制剂配方）与可测量状态变量（氧气有效性、NH₄⁺\u002FNO₃⁻场、抑制剂暴露）、微生物过程速率及产量标度的环境结果联系起来。DRM在实际应用前需要通过空间田间试验进行验证。由此形成的框架表明，滴灌-硝化抑制剂集成可能在维持生产力的同时减少硝酸盐淋失和温室气体排放，但结果依赖于具体情境，并可能受到盐分积累、酸化、氧气限制、铵毒害和脱靶效应的制约。未来研究应优先开展空间分辨测量、传感器引导施肥、滴灌兼容型抑制剂配方以及基于过程的决策支持模型。总体而言，本综述","Frontiers in Plant Science","2026-09-17T00:00:00Z",82,{"impact":17,"substance":18,"depth":17,"authority":51,"freshness":13,"relevant":21,"comment":509},"该综述提出滴灌与水肥一体化结合硝化抑制剂的根际过程调控框架，为农业绿色减排提供新思路，但尚属概念模型，需田间验证。",[511],{"name":505,"url":502},[513,514,515,27,516],"水肥一体化","智慧灌溉","氮素管理","根际调控",{"code":39,"slug":40,"name":41,"path":42,"parent_code":43},[519],{"code":66,"slug":71,"name":520,"path":521,"parent_code":135},"土壤健康与改良","\u002Ftopic\u002Fenvironment\u002Fsoil",{"status":45,"locked":14,"version":46,"method":47,"evidence":523},{"candidates":524,"agricultural_evidence":52},[525,530,536,540,544,548],{"code":39,"score":17,"supported":52,"title":526,"abstract":528,"tags":529},[527],"fertigation",[61,63,527],[513],{"code":66,"score":314,"supported":52,"title":531,"abstract":533,"tags":535},[532],"rhizosphere",[70,534,71,532],"根际",[],{"code":409,"score":271,"supported":52,"title":537,"abstract":538,"tags":539},[],[425,410],[514],{"code":32,"score":67,"supported":52,"title":541,"abstract":542,"tags":543},[],[56,54],[],{"code":74,"score":75,"supported":52,"title":545,"abstract":546,"tags":547},[],[78],[],{"code":81,"score":21,"supported":14,"title":549,"abstract":550,"tags":551},[],[],[27],[553,554],"水肥一体化 农业减排 智慧灌溉 根际调控","水肥一体化 农业减排","水肥一体化农业减排智慧灌溉根际调控-2807","10.3389\u002Ffpls.2026.1894587",{"doi":556,"openalex_id":558,"authors":559,"venue":505,"cited_by_count":96,"oa_url":502,"card":568,"direction":381,"ingested_from":105},"W7213456426",[560,562,564,566],{"name":561,"orcid":9},"Muhammad Zain",{"name":563,"orcid":9},"Sheheryar Khan",{"name":565,"orcid":9},"Hongjun Lei",{"name":567,"orcid":9},"Abdul Ghafoor",{"tldr":569,"method":570,"finding":571,"direction":102,"opportunity":572},"综述提出滴灌施肥与硝化抑制剂整合应视为根际过程调控，并构建设计根际模型框架。","综述整合硝化抑制剂类型、作物与滴灌配置证据，提出概念性设计根际模型。","抑制剂效果取决于湿润体内氧气恢复、铵态氮与氨氧化菌的时空重叠，但缺乏空间验证。","可开展空间分辨的田间试验验证设计根际模型，并开发传感器引导的滴灌施肥决策模型。","2026-09-17T23:31:04.332274Z",{"id":575,"title":576,"url":577,"summary":578,"summary_zh":9,"content":9,"source_name":115,"source_url":577,"published_at":116,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":579,"score_detail":580,"sources":583,"tags":585,"primary_topic":590,"secondary_topics":591,"classification":596,"search_phrases":613,"slug":616,"view_count":174,"doi":617,"paper":618,"created_at":645},2022,"Greenhouse gas emissions, carbon footprint and ecosystem economic performance of tropical pineapple fields: responses to five practical pineapple straw management patterns","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.agsy.2026.104948","Greenhouse gas emissions, carbon footprint and ecosystem economic performance of tropical pineapple fields: responses to five practical pineapple straw management patterns。Agricultural Systems",76,{"impact":342,"substance":581,"depth":314,"authority":51,"freshness":20,"relevant":21,"comment":582},21,"热带菠萝园秸秆管理模式的温室气体与碳足迹研究，数据与结论具增量，但属细分作物领域，产业影响有限。",[584],{"name":115,"url":577},[586,587,27,588,589],"生态经济","碳足迹","菠萝","秸秆利用",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[592],{"code":81,"slug":593,"name":594,"path":595,"parent_code":135},"carbon","农业碳与绿色低碳","\u002Ftopic\u002Fenvironment\u002Fcarbon",{"status":45,"locked":14,"version":46,"method":47,"evidence":597},{"candidates":598,"agricultural_evidence":52},[599,604,608],{"code":81,"score":19,"supported":52,"title":600,"abstract":602,"tags":603},[601],"carbon footprint",[601],[27,587],{"code":32,"score":347,"supported":52,"title":605,"abstract":606,"tags":607},[54],[54],[],{"code":609,"score":21,"supported":14,"title":610,"abstract":611,"tags":612},"H5",[],[],[589],[614,615],"农业减排 生态经济 秸秆利用 碳足迹","农业减排 生态经济","农业减排生态经济秸秆利用碳足迹-2022","10.1016\u002Fj.agsy.2026.104948",{"doi":617,"openalex_id":619,"authors":620,"venue":115,"cited_by_count":96,"oa_url":9,"card":9,"direction":9,"ingested_from":105},"W7212051523",[621,624,627,629,631,634,635,638,641,642],{"name":622,"orcid":623},"Xin Jin","https:\u002F\u002Forcid.org\u002F0000-0002-7737-7506",{"name":625,"orcid":626},"Shoupeng Li","https:\u002F\u002Forcid.org\u002F0000-0002-5009-8013",{"name":628,"orcid":9},"Mingwan Chen",{"name":630,"orcid":9},"Chuangjun Wu",{"name":632,"orcid":633},"Changzhen Li","https:\u002F\u002Forcid.org\u002F0000-0002-8089-4838",{"name":632,"orcid":633},{"name":636,"orcid":637},"Huanyu Bao","https:\u002F\u002Forcid.org\u002F0009-0004-8127-1888",{"name":639,"orcid":640},"Changjiang Li","https:\u002F\u002Forcid.org\u002F0000-0002-5545-9690",{"name":639,"orcid":640},{"name":643,"orcid":644},"Yunze Ruan","https:\u002F\u002Forcid.org\u002F0000-0003-0079-9353","2026-09-10T23:30:04.465334Z"]