[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2021":3,"related-2021":170},{"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":50,"search_phrases":103,"slug":106,"view_count":21,"doi":107,"paper":108,"created_at":169},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。",null,"Agricultural Systems","2026-09-09T00:00:00Z","论文",10,false,81,{"impact":17,"substance":18,"depth":17,"authority":19,"freshness":20,"relevant":21,"comment":22},18,22,14,9,1,"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。",[24],{"name":10,"url":6},[26,27,28,29,30],"温室气体","保护性农业","农业减排","施肥管理","免耕覆盖",{"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",[38,44],{"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",{"code":45,"slug":46,"name":47,"path":48,"parent_code":49},"H8","sustainable-agriculture","可持续与保护性农业","\u002Ftopic\u002Fenvironment\u002Fsustainable-agriculture","H",{"status":51,"locked":14,"version":52,"method":53,"evidence":54},"classified","2026-10-22.2","rules",{"candidates":55,"agricultural_evidence":57},[56,63,69,75,83,90,97],{"code":32,"score":19,"supported":57,"title":58,"abstract":60,"tags":62},true,[59],"greenhouse",[61,59],"温室",[],{"code":39,"score":19,"supported":57,"title":64,"abstract":66,"tags":68},[65],"fertilizer",[67,65],"施肥",[],{"code":45,"score":70,"supported":57,"title":71,"abstract":73,"tags":74},12,[72],"conservation agriculture",[72],[27],{"code":76,"score":77,"supported":57,"title":78,"abstract":79,"tags":82},"A7",6,[],[80,81],"轮作","crop rotation",[],{"code":84,"score":77,"supported":57,"title":85,"abstract":86,"tags":89},"H7",[],[87,88],"气候变化","climate change",[],{"code":91,"score":92,"supported":57,"title":93,"abstract":94,"tags":96},"H6",3,[],[95],"农业生态",[],{"code":98,"score":99,"supported":14,"title":100,"abstract":101,"tags":102},"H4",2,[],[],[28,26],[104,105],"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":107,"openalex_id":109,"authors":110,"venue":10,"cited_by_count":161,"oa_url":6,"card":162,"direction":166,"ingested_from":168},"W7212036648",[111,113,116,118,120,123,126,129,131,133,136,138,141,143,145,147,149,152,155,158],{"name":112,"orcid":9},"Muneta G. Manzeke-Kangara",{"name":114,"orcid":115},"Aranzazu Louro-Lopez","https:\u002F\u002Forcid.org\u002F0000-0002-1634-8664",{"name":117,"orcid":9},"Teri-Louise North",{"name":119,"orcid":9},"Clinton Fowler",{"name":121,"orcid":122},"Vengai Mbanyele","https:\u002F\u002Forcid.org\u002F0009-0008-2539-8795",{"name":124,"orcid":125},"Hannah V. Cooper","https:\u002F\u002Forcid.org\u002F0000-0003-2576-3429",{"name":127,"orcid":128},"Boitumelo Molise","https:\u002F\u002Forcid.org\u002F0000-0002-9700-0511",{"name":130,"orcid":9},"Tabisa Thandathu",{"name":132,"orcid":9},"Ivy S. Ligowe",{"name":134,"orcid":135},"Hatirarami Nezomba","https:\u002F\u002Forcid.org\u002F0000-0003-1370-1888",{"name":137,"orcid":9},"Jerry C. Dlamini",{"name":139,"orcid":140},"Elijah Phiri","https:\u002F\u002Forcid.org\u002F0000-0002-3637-3509",{"name":142,"orcid":9},"Patson C. Nalivata",{"name":144,"orcid":9},"A. Mead",{"name":146,"orcid":9},"Jess Hood",{"name":148,"orcid":9},"Andrew S. Gregory",{"name":150,"orcid":151},"Alice E. Milne","https:\u002F\u002Forcid.org\u002F0000-0002-4509-0578",{"name":153,"orcid":154},"Z. Sawińska","https:\u002F\u002Forcid.org\u002F0000-0002-7030-3221",{"name":156,"orcid":157},"Dominika Radzikowska","https:\u002F\u002Forcid.org\u002F0000-0001-6989-1348",{"name":159,"orcid":160},"Stanisław Świtek","https:\u002F\u002Forcid.org\u002F0000-0003-3794-5780",0,{"tldr":163,"method":164,"finding":165,"direction":166,"opportunity":167},"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。","农业绿色发展与碳","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。","openalex","2026-09-10T23:30:04.405140Z",{"total":77,"page":21,"page_size":77,"items":171},[172,242,390,456,537,607],{"id":173,"title":174,"url":175,"summary":176,"summary_zh":177,"content":9,"source_name":178,"source_url":175,"published_at":179,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":180,"score_detail":181,"sources":184,"tags":186,"primary_topic":191,"secondary_topics":192,"classification":194,"search_phrases":223,"slug":226,"view_count":21,"doi":227,"paper":228,"created_at":241},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。","Frontiers in Sustainable Food Systems","2026-09-28T00:00:00Z",80,{"impact":17,"substance":18,"depth":17,"authority":182,"freshness":20,"relevant":21,"comment":183},13,"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。",[185],{"name":178,"url":175},[187,28,188,189,190],"养分管理","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},[193],{"code":39,"slug":40,"name":41,"path":42,"parent_code":43},{"status":51,"locked":14,"version":52,"method":53,"evidence":195},{"candidates":196,"agricultural_evidence":57},[197,201,206,213,219],{"code":32,"score":19,"supported":57,"title":198,"abstract":199,"tags":200},[59],[61,59],[],{"code":39,"score":13,"supported":57,"title":202,"abstract":203,"tags":205},[],[67,204,187,65],"肥料",[187],{"code":207,"score":77,"supported":57,"title":208,"abstract":209,"tags":212},"H2",[],[210,211],"土壤","soil",[],{"code":214,"score":92,"supported":57,"title":215,"abstract":216,"tags":218},"I2",[],[217],"decision support",[],{"code":98,"score":21,"supported":14,"title":220,"abstract":221,"tags":222},[],[],[28],[224,225],"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":227,"openalex_id":229,"authors":230,"venue":178,"cited_by_count":161,"oa_url":234,"card":235,"direction":240,"ingested_from":168},"W7214627055",[231],{"name":232,"orcid":233},"Bonface Ombasa Manono","https:\u002F\u002Forcid.org\u002F0000-0001-9150-2126","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1934315\u002Fpdf",{"tldr":236,"method":237,"finding":238,"direction":166,"opportunity":239},"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。","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","2026-09-29T23:30:07.225900Z",{"id":243,"title":244,"url":245,"summary":246,"summary_zh":247,"content":9,"source_name":178,"source_url":245,"published_at":179,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":180,"score_detail":248,"sources":250,"tags":252,"primary_topic":258,"secondary_topics":263,"classification":266,"search_phrases":329,"slug":332,"view_count":92,"doi":333,"paper":334,"created_at":389},3759,"Synergistic interaction effects of precision phosphorus fertigation and residue management on productivity, profitability, and resource-use efficiency of wheat under conservation agriculture","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1944629","Phosphorus (P) management under conventional surface-broadcast application in calcareous soils of the Indo-Gangetic Plains (IGP) suffers from severe fixation losses, limiting phosphorus-use efficiency (PUE) to 10–25% and contributing to yield gaps in wheat, a globally important food security crops. A two-year (2023–24 and 2024–25) split-plot field experiment was conducted within a mid-term conservation agriculture (CA)-based maize-wheat-greengram system to evaluate nine phosphorus fertigation levels and split application schedules through subsurface drip fertigation (SSDF), combined with two residue management practices (retention: R+, no-retention: R-), on growth, yield, water productivity, economics, and resource-use efficiency and post-harvest available phosphorus of wheat (cv. HD 2967). Treatments included no-P (control), SSDF of P as DAP at 50, 75, and 100% of the recommended dose (RDP; 60 kg P 2 O 5 ha −1 ) applied either fully as basal (10 DAS) or split (10 and 25 DAS), along with a nano-DAP foliar spray, compared against conventional CA with flood irrigation and basal broadcast P (CA-FI-100% RDP-B). SSDF treatments consumed only 178–275 mm of total water input against 437–452 mm under flood irrigation. Among SSDF treatments, 100% RDP applied in two splits (100% RDP-2S) consistently recorded the highest growth attributes, grain yield (6.23 and 6.31 t ha −1 ), and economic returns (BCR: 1.8–2) across both years, improving grain yield by 10.6–11.5% and net returns by 13.7% over CA-FI-100% RDP-B. Notably, 75% RDP-2S was statistically comparable to 100% RDP-2S for yield and profitability, demonstrating that a 25% reduction in P dose under precision SSDF does not compromise productivity. Total and irrigation water productivity improved by 127.7 and 156.7%, respectively, under 100% RDP-2S over CA-FI-100% RDP-B. Residue retention further enhanced productivity, increasing grain yield by 14.0–15.0% and net returns by 26.4–27.5%. Post-harvest soil available P was 18.0 and 43.3% higher under SSDF than under CA-FI-100% RDP-B at 0–15 and 15–30 cm, respectively. The interaction of split P fertigation and residue retention was consistently superior for grain yield and water productivity. These findings establish 75–100% RDP delivered through split SSDF, combined with residue retention, as an agronomically superior, water-efficient, economically viable strategy for sustainable wheat intensification in the semi-arid IGPs.","在印度河-恒河平原（IGP）石灰性土壤上，常规地表撒施条件下的磷（P）管理面临严重的固定损失，导致磷利用效率（PUE）仅为10–25%，并造成小麦——一种全球重要的粮食安全作物——的产量差距。在中期保护性农业（CA）为基础的玉米-小麦-绿豆轮作体系中，开展了一项为期两年（2023–24和2024–25）的裂区田间试验，评估九种磷肥滴灌水平和分次施用方案通过地下滴灌施肥（SSDF）对小麦（品种HD 2967）生长、产量、水分生产力、经济效益、资源利用效率及收获后土壤有效磷的影响，并结合两种秸秆管理方式（还田：R+，不还田：R-）。处理包括：无磷（对照）、以DAP形式通过SSDF施用推荐施磷量（RDP；60 kg P₂O₅ ha⁻¹）的50%、75%和100%，分别以全部基施（播种后10天）或分次施用（播种后10天和25天），同时配合纳米DAP叶面喷施，并与常规保护性农业配合漫灌和基施撒施磷（CA-FI-100% RDP-B）进行比较。SSDF处理的总水分投入仅为178–275 mm，而漫灌条件下为437–452 mm。在SSDF处理中，100% RDP分两次施用（100% RDP-2S）在两年中均持续表现出最高的生长指标、籽粒产量（6.23和6.31 t ha⁻¹）和经济效益（BCR：1.8–2），较CA-FI-100% RDP-B分别提高籽粒产量10.6–11.5%和净收益13.7%。值得注意的是，75% RDP-2S在产量和盈利能力上与100% RDP-2S无统计学差异，表明在精准SSDF下减少25%的磷用量不会影响生产力。与CA-FI-100% RDP-B相比，100% RDP-2S处理下总水分生产力和灌溉水分生产力分别提高了127.7%和156.7%。秸秆还田进一步提高了生产力，使籽粒产量增加14.0–15.0%，净收益增加26.4–27.5%。收获后土壤有效磷在0–15 cm和15–30 cm土层中，SSDF较CA-FI-100% RDP-B分别高出18.0%和43.3%。分次磷肥滴灌与秸秆还田的交互作用在籽粒产量和水分生产力方面始终表现最优。这些研究结果表明，通过分次SSDF施用75–100% RDP并结合秸秆还田，是一种农艺上优越、水分高效、经济可行的策略，可用于半干旱印度河-恒河平原小麦的可持续集约化生产。",{"impact":17,"substance":18,"depth":17,"authority":182,"freshness":20,"relevant":21,"comment":249},"两年田间试验证实分次地下滴灌施磷配合秸秆还田可减磷25%并显著提升小麦产量与水肥利用效率，数据扎实、结论可靠，对半干旱地区精准水肥管理有直接参考价值。",[251],{"name":178,"url":245},[253,254,255,256,257],"智慧农业","精准施肥","小麦","保护性耕作","水肥一体化",{"code":259,"slug":260,"name":255,"path":261,"parent_code":262},"A2","wheat","\u002Ftopic\u002Ffield-crops\u002Fwheat","A",[264,265],{"code":39,"slug":40,"name":41,"path":42,"parent_code":43},{"code":45,"slug":46,"name":47,"path":48,"parent_code":49},{"status":51,"locked":14,"version":52,"method":53,"evidence":267},{"candidates":268,"agricultural_evidence":57},[269,275,280,284,291,298,302,309,313,319,324],{"code":39,"score":270,"supported":57,"title":271,"abstract":273,"tags":274},16,[272],"fertigation",[67,272],[257,254],{"code":259,"score":276,"supported":57,"title":277,"abstract":278,"tags":279},15,[260],[255,260],[255],{"code":45,"score":70,"supported":57,"title":281,"abstract":282,"tags":283},[72],[72],[256],{"code":285,"score":77,"supported":57,"title":286,"abstract":287,"tags":290},"A3",[],[288,289],"玉米","maize",[],{"code":292,"score":77,"supported":57,"title":293,"abstract":294,"tags":297},"A8",[],[295,296],"粮食安全","food security",[],{"code":207,"score":77,"supported":57,"title":299,"abstract":300,"tags":301},[],[210,211],[],{"code":303,"score":77,"supported":57,"title":304,"abstract":305,"tags":308},"H3",[],[306,307],"灌溉","irrigation",[],{"code":76,"score":92,"supported":57,"title":310,"abstract":311,"tags":312},[],[80],[],{"code":314,"score":92,"supported":57,"title":315,"abstract":316,"tags":318},"H5",[],[317],"秸秆还田",[],{"code":84,"score":92,"supported":57,"title":320,"abstract":321,"tags":323},[],[322],"干旱",[],{"code":325,"score":21,"supported":14,"title":326,"abstract":327,"tags":328},"I1",[],[],[253],[330,331],"地下滴灌 磷肥 小麦","保护性耕作 秸秆还田 小麦","地下滴灌磷肥小麦-3759","10.3389\u002Ffsufs.2026.1944629",{"doi":333,"openalex_id":335,"authors":336,"venue":178,"cited_by_count":161,"oa_url":245,"card":384,"direction":240,"ingested_from":168},"W7214579192",[337,339,342,344,346,348,350,353,355,357,359,361,363,366,368,370,373,376,379,382],{"name":338,"orcid":9},"Kadagonda Nithinkumar",{"name":340,"orcid":341},"Anchal Dass","https:\u002F\u002Forcid.org\u002F0000-0003-3909-1803",{"name":343,"orcid":9},"Devika A. R.",{"name":345,"orcid":9},"Arjun Singh",{"name":347,"orcid":9},"Susama Sudhishri",{"name":349,"orcid":9},"Vinod Kumar Singh",{"name":351,"orcid":352},"Sanjay Singh Rathore","https:\u002F\u002Forcid.org\u002F0000-0001-6725-1478",{"name":354,"orcid":9},"Sarvendra Kumar",{"name":356,"orcid":9},"Teekam Singh",{"name":358,"orcid":9},"Jitendra Rajput",{"name":360,"orcid":9},"Pravin Kumar Upadhyaya",{"name":362,"orcid":9},"R. N. Sahoo",{"name":364,"orcid":365},"ARPULA SAIRAM","https:\u002F\u002Forcid.org\u002F0009-0009-9034-6032",{"name":367,"orcid":9},"Aye Aye San",{"name":369,"orcid":9},"K. S. Sachin",{"name":371,"orcid":372},"Mummasani Asritha","https:\u002F\u002Forcid.org\u002F0009-0002-4619-9943",{"name":374,"orcid":375},"Ramanjit Kaur","https:\u002F\u002Forcid.org\u002F0000-0001-5117-050X",{"name":377,"orcid":378},"Mona Nagargade","https:\u002F\u002Forcid.org\u002F0000-0003-1062-512X",{"name":380,"orcid":381},"Vishal Tyagi","https:\u002F\u002Forcid.org\u002F0000-0001-5593-3076",{"name":383,"orcid":9},"Subhash Babu",{"tldr":385,"method":386,"finding":387,"direction":240,"opportunity":388},"研究保护性农业下精准磷肥滴灌与秸秆还田对小麦产量、收益和资源效率的协同效应。","两年裂区田间试验，地下滴灌分次施磷与秸秆还田处理，测产量、水生产力与经济指标。","75–100%推荐磷量分次滴灌配秸秆还田可增产10%以上、节水超一倍且不减产。","可探索基于土壤磷素实时监测的变量施磷决策模型，并与秸秆还田互作机制结合优化。","2026-09-29T23:30:06.859116Z",{"id":391,"title":392,"url":393,"summary":394,"summary_zh":9,"content":395,"source_name":396,"source_url":9,"published_at":397,"category":398,"cover_url":9,"hotness":13,"is_selected":14,"score":399,"score_detail":400,"sources":403,"tags":405,"primary_topic":409,"secondary_topics":410,"classification":412,"search_phrases":450,"slug":453,"view_count":454,"doi":9,"paper":9,"created_at":455},219,"黑龙江农科院齐齐哈尔分院与省黑土体系联学共建——聚焦保护性耕作深层增碳与水肥一体化","https:\u002F\u002Fwww.haas.cn\u002Finfo\u002F1071\u002F334861.htm","7月20日,黑龙江省黑土地保护创新协同推广体系2026年工作推进会在黑龙江省农业科学院齐齐哈尔分院召开,聚焦黑土地保护工作部署。会上开展大豆高产栽培中后期管理、大豆生产机械化装备、大豆品种选择及单产提升、黑土地保护性耕作技术等专项培训。分院现场展示新型保护性耕作深层增碳技术、保护性耕作水肥一体化技术、精准施肥、秸秆还田、有机肥施用等黑土保护关键技术的田间应用成效。","为深入践行正确政绩观，深化党建与农业科研、黑土地保护工作深度融合，以党建红引领农业绿、守护耕地黑、筑牢粮食安全底线，7月20日，黑龙江省黑土地保护创新协同推广体系2026年工作推进会在黑龙江省农业科学院齐齐哈尔分院召开。省黑土体系专家、市农业技术推广中心有关同志、分院领导班子、科研骨干及部分农业合作社代表全程参与各项活动。\n\n![Image 1](https:\u002F\u002Fwww.haas.cn\u002F__local\u002F6\u002FC9\u002F03\u002F52FD879A53C1C13E33B1E9D2603_962AAC9C_92D93.jpg)\n\n会上，黑龙江省农业科学院齐齐哈尔分院党委书记、院长申惠波，黑土耕地保护协同创新推广体系首席专家邹文秀先后致辞，明确黑土地保护工作的重要意义与年度工作核心方向，强调要坚持科技赋能、协同发力，筑牢黑土地保护屏障、夯实粮食安全根基。\n\n![Image 2](https:\u002F\u002Fwww.haas.cn\u002F__local\u002F2\u002F9C\u002F0E\u002F7710B25F6599E7A64B5CF09B461_B86F6C38_B2591.jpg)\n\n在技术专题培训环节，来自黑龙江八一农垦大学、省农科院齐齐哈尔分院的行业专家依次开展专项授课，围绕大豆高产栽培中后期管理、大豆生产机械化装备与技术、大豆品种选择及单产提升、黑土地保护性耕作技术等关键领域，结合龙江寒地农业种植特点与黑土地保护现状，分享前沿科研成果、实操技术方案和高产提质经验，内容贴合生产实际、针对性极强，为参会科研人员搭建了高效的学习交流平台。\n\n![Image 3](https:\u002F\u002Fwww.haas.cn\u002F__local\u002F0\u002F61\u002FF4\u002F3251885D63476C23D3456E0730F_CBC52AC5_82A26.jpg)\n\n理论授课结束后，全体参会人员前往齐齐哈尔分院田间示范基地开展实地观摩活动。现场重点观摩新型保护性耕作深层增碳技术、保护性耕作水肥一体化技术、精准施肥、秸秆还田、有机肥施用等黑土保护关键技术的田间应用成效，技术负责人王宇先现场讲解技术原理、应用优势及推广要点，让参会人员直观感受黑土地保护创新技术的实践成果，实现理论学习与田间实操深度结合。\n\n此次联学共建活动有效打通科研协作、技术推广、产业服务链条，构建起党建引领、科创赋能、惠农增效的良好工作格局。全体科研人员在沉浸式现场教学中锤炼初心使命，进一步树牢正确政绩观，坚定扎根一线、护土兴农、保障粮安的责任担当。下一步，分院将持续深化党建与科研业务融合，深耕黑土地保护、大豆产业提质、耕地增效等重点领域，强化科技创新与成果落地，以科技力量护航现代农业高质量发展。","黑龙江省农业科学院 2026-07-20","2026-07-30T00:00:00Z","报道",47,{"impact":276,"substance":70,"depth":401,"authority":13,"freshness":99,"relevant":21,"comment":402},8,"省级农业科研机构活动报道，涉及黑土地保护技术，有一定信息量但深度和时效性一般。",[404],{"name":396,"url":393},[406,407,408,256],"黑龙江省农科院","黑土地保护","齐齐哈尔分院",{"code":39,"slug":40,"name":41,"path":42,"parent_code":43},[411],{"code":45,"slug":46,"name":47,"path":48,"parent_code":49},{"status":51,"locked":14,"version":52,"method":53,"evidence":413},{"candidates":414,"agricultural_evidence":57},[415,419,423,429,435,440,446],{"code":39,"score":19,"supported":57,"title":416,"abstract":417,"tags":418},[257],[67,257],[],{"code":45,"score":70,"supported":57,"title":420,"abstract":421,"tags":422},[256],[256],[256],{"code":424,"score":425,"supported":57,"title":426,"abstract":427,"tags":428},"H1",4,[],[407],[407],{"code":430,"score":92,"supported":57,"title":431,"abstract":432,"tags":434},"A4",[],[433],"大豆",[],{"code":292,"score":92,"supported":57,"title":436,"abstract":437,"tags":439},[],[438],"单产提升",[],{"code":441,"score":92,"supported":57,"title":442,"abstract":443,"tags":445},"F5",[],[444],"机械化",[],{"code":314,"score":92,"supported":57,"title":447,"abstract":448,"tags":449},[],[317],[],[451,452],"黑龙江省农科院 齐齐哈尔分院 保护性耕作 黑土地保护","黑龙江省农科院 齐齐哈尔分院","黑龙江省农科院齐齐哈尔分院保护性耕作黑土地保护-219",5,"2026-08-04T23:54:46.696741Z",{"id":457,"title":458,"url":459,"summary":460,"summary_zh":461,"content":9,"source_name":462,"source_url":459,"published_at":463,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":464,"score_detail":465,"sources":467,"tags":469,"primary_topic":474,"secondary_topics":479,"classification":481,"search_phrases":505,"slug":508,"view_count":21,"doi":509,"paper":510,"created_at":536},4685,"Farm management and yield gaps in Robusta (Coffea canephora) coffee production across the three largest Asian origins","https:\u002F\u002Fdoi.org\u002F10.25186\u002F.v21i.2515","Robusta coffee is a key livelihood crop in Asia, and its productivity differs largely across main regions. However, the factors underlying these differences remain limited. This study examines yield variation across Vietnam, Indonesia, and India, the three largest Robusta-producing countries in Asia. Using 13,525 farm-level surveys, the study applied descriptive statistics, correlation analysis, and regression-based threshold methods to assess the relationships between yield and key management practices. The results show that median yields reach 2,643 kg GBE ha⁻¹ in Vietnam, compared with 1,359 kg ha⁻¹ in India-Karnataka, 509 kg ha⁻¹ in India-Kerala, and 383 kg ha⁻¹ in Indonesia. Correlation analysis shows that inorganic fertilizer use is positively associated with yield across the three countries, with coefficients ranging from 0.326 to 0.408. Pruning practices are also associated with higher yields in several regions, whereas shade levels are negatively related to yield in Vietnam. These findings indicate that yield gaps in Asian Robusta systems arise from different constraints across countries. Input scarcity appears to constrain productivity in Indonesia, while inefficiencies in nutrient management and structural characteristics of production systems play a larger role in Vietnam and India. The results highlight the need for context-specific strategies to improve productivity and sustainability in Robusta coffee production. Key words: Yield differences; fertilizer efficiency; shade management; plantation rejuvenation; Robusta coffee.","罗布斯塔咖啡（Robusta coffee）是亚洲重要的生计作物，但其生产力在主产区之间差异显著。然而，造成这些差异的因素仍缺乏充分研究。本研究考察了亚洲三大罗布斯塔咖啡生产国——越南、印度尼西亚和印度之间的产量差异。研究利用13,525份农场层面调查数据，采用描述性统计、相关分析和基于回归的阈值方法，评估产量与关键管理措施之间的关系。结果表明，越南的产量中位数达到2,643 kg GBE ha⁻¹，而印度卡纳塔克邦为1,359 kg ha⁻¹，印度喀拉拉邦为509 kg ha⁻¹，印度尼西亚为383 kg ha⁻¹。相关分析显示，无机肥料施用与三国产量均呈正相关，系数范围为0.326至0.408。修剪措施在若干地区也与较高产量相关，而越南的遮阴水平与产量呈负相关。这些发现表明，亚洲罗布斯塔咖啡系统的产量差距源于各国不同的限制因素。投入品短缺似乎制约了印度尼西亚的生产力，而养分管理效率低下和生产系统的结构性特征在越南和印度发挥了更大作用。研究结果凸显了制定因地制宜策略以提高罗布斯塔咖啡生产力和可持续性的必要性。关键词：产量差异；肥料效率；遮阴管理；种植园更新；罗布斯塔咖啡。","Coffee Science","2026-10-09T00:00:00Z",77,{"impact":270,"substance":18,"depth":17,"authority":182,"freshness":401,"relevant":21,"comment":466},"基于13,525份农户调查揭示亚洲三大罗布斯塔产区的产量差与管理约束，数据规模大、结论有区域针对性，对咖啡产业信息化与精准施肥有参考价值。",[468],{"name":462,"url":459},[470,471,29,472,473],"小农户","咖啡产业","产量差","遮荫栽培",{"code":475,"slug":476,"name":477,"path":478,"parent_code":36},"B3","tea-coffee","茶叶与咖啡","\u002Ftopic\u002Fhorticulture\u002Ftea-coffee",[480],{"code":39,"slug":40,"name":41,"path":42,"parent_code":43},{"status":51,"locked":14,"version":52,"method":53,"evidence":482},{"candidates":483,"agricultural_evidence":57},[484,490,494,500],{"code":475,"score":276,"supported":57,"title":485,"abstract":487,"tags":489},[486],"coffee",[488,486],"咖啡",[471],{"code":39,"score":20,"supported":57,"title":491,"abstract":492,"tags":493},[],[204,187,65],[],{"code":495,"score":92,"supported":57,"title":496,"abstract":497,"tags":499},"I3",[],[498],"估产",[],{"code":501,"score":21,"supported":14,"title":502,"abstract":503,"tags":504},"G2",[],[],[470],[506,507],"越南 印尼 印度 罗布斯塔 咖啡","罗布斯塔 咖啡 产量差 施肥","越南印尼印度罗布斯塔咖啡-4685","10.25186\u002F.v21i.2515",{"doi":509,"openalex_id":511,"authors":512,"venue":462,"cited_by_count":161,"oa_url":528,"card":529,"direction":535,"ingested_from":168},"W7221151398",[513,516,519,522,525],{"name":514,"orcid":515},"Hue Tran","https:\u002F\u002Forcid.org\u002F0000-0003-0606-0525",{"name":517,"orcid":518},"Thuy Phan Thi","https:\u002F\u002Forcid.org\u002F0000-0001-5451-7185",{"name":520,"orcid":521},"Long Nhat Cao","https:\u002F\u002Forcid.org\u002F0000-0002-5345-7472",{"name":523,"orcid":524},"Jacob Schenthal","https:\u002F\u002Forcid.org\u002F0000-0002-1265-033X",{"name":526,"orcid":527},"Ketan Patel","https:\u002F\u002Forcid.org\u002F0009-0007-1813-2449","https:\u002F\u002Fcoffeescience.ufla.br\u002Findex.php\u002FCoffeescience\u002Farticle\u002Fdownload\u002F2515\u002F2608",{"tldr":530,"method":531,"finding":532,"direction":533,"opportunity":534},"基于13525份农户调查，分析越南、印尼、印度罗布斯塔咖啡产量差异及管理因素。","13,525份农户调查，描述统计、相关分析与回归阈值法。","无机肥与产量正相关；印尼受投入不足限制，越南和印度则受养分管理低效与结构因素制约。","数字乡村与农业信息化","可构建分区域咖啡产量差诊断与精准施肥决策模型，结合遥感与物联网实现管理处方推荐。","农业遥感与作物表型","2026-10-11T23:30:31.779147Z",{"id":538,"title":539,"url":540,"summary":541,"summary_zh":542,"content":9,"source_name":178,"source_url":540,"published_at":543,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":544,"score_detail":545,"sources":547,"tags":549,"primary_topic":553,"secondary_topics":554,"classification":555,"search_phrases":584,"slug":587,"view_count":99,"doi":588,"paper":589,"created_at":606},3874,"Exploring aquaponics systems and greenhouse gas emissions: an agent-based model case study","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1862992","Aquaponics is the combination of aquaculture (i.e., propagation of aquatic species) and hydroponics (i.e., soil-less propagation of plants), which is being investigated as a method for more sustainable food production. Along with ensuring the continued improvement of the technology itself, educating the public about aquaponics using a systems-thinking approach is equally important. Agent-based modeling was used to develop an aquaponics model that will allow any student to have an active learning experience with a generalized operation of the system while also exploring systems-thinking principles. By developing a model, individuals interested in learning are not limited by what their educational institutions can provide, which is often restricted by a lack of resources. The aquaponics agent-based model presented in this study allows the user to change the fish and plant types, climate, and season and display the corresponding greenhouse gas emissions when the theoretical system is operating. The number of plants harvested and the total greenhouse gas emissions are the two stochastic outputs of the model, given potential variations in timelines, system efficiencies, and general human error. Greenhouse gas emissions were compared with those reported in the relevant literature to inform parameter selection. The overall goal of this model is to provide an interactive and broadly accessible educational opportunity.","鱼菜共生（Aquaponics）是水产养殖（即水生物种的繁殖）与水培（即无土栽培植物）的结合，目前正被研究作为一种更可持续的粮食生产方式。在确保该技术本身持续改进的同时，利用系统思维方法向公众普及鱼菜共生知识同样重要。本研究采用基于主体的建模（Agent-based modeling）方法开发了一个鱼菜共生模型，使任何学生都能通过该系统的广义操作获得主动学习体验，同时探索系统思维原则。通过开发这一模型，有兴趣的学习者不再受限于其教育机构所能提供的条件——这些条件往往因资源匮乏而受到制约。本研究提出的鱼菜共生基于主体的模型允许用户更改鱼类和植物类型、气候和季节，并展示理论系统运行时的相应温室气体排放量。考虑到时间线、系统效率和一般人为误差的潜在变化，收获植物数量和温室气体排放总量是该模型的两个随机输出。温室气体排放量已与相关文献中报告的数据进行比较，以指导参数选择。该模型的总体目标是提供一种具有交互性且可广泛获取的教育机会。","2026-09-30T00:00:00Z",61,{"impact":401,"substance":17,"depth":270,"authority":182,"freshness":77,"relevant":21,"comment":546},"该论文提出基于智能体的鱼菜共生教学模型，可模拟鱼类、植物、气候与季节变化并输出温室气体排放，方法新颖且具教育推广价值，但属细分领域学术成果，公共影响有限。",[548],{"name":178,"url":540},[253,550,26,551,552],"设施农业","水产养殖","系统思维",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":51,"locked":14,"version":52,"method":53,"evidence":556},{"candidates":557,"agricultural_evidence":57},[558,564,572,576,580],{"code":32,"score":559,"supported":57,"title":560,"abstract":561,"tags":563},17,[59],[61,562,59],"无土栽培",[],{"code":565,"score":566,"supported":57,"title":567,"abstract":568,"tags":571},"D",7,[],[569,570],"水产","aquaculture",[551],{"code":207,"score":92,"supported":57,"title":573,"abstract":574,"tags":575},[],[211],[],{"code":98,"score":21,"supported":14,"title":577,"abstract":578,"tags":579},[],[],[26],{"code":325,"score":21,"supported":14,"title":581,"abstract":582,"tags":583},[],[],[253],[585,586],"鱼菜共生 温室气体 模型","智慧农业 水产养殖 温室气体 系统思维","鱼菜共生温室气体模型-3874","10.3389\u002Ffsufs.2026.1862992",{"doi":588,"openalex_id":590,"authors":591,"venue":178,"cited_by_count":161,"oa_url":540,"card":601,"direction":166,"ingested_from":168},"W7214975686",[592,595,597,599],{"name":593,"orcid":594},"Marissa Breitenstein","https:\u002F\u002Forcid.org\u002F0009-0005-2148-8812",{"name":596,"orcid":9},"Elisabeth Bautista",{"name":598,"orcid":9},"Alexis Daniels",{"name":600,"orcid":9},"Andrea Hicks",{"tldr":602,"method":603,"finding":604,"direction":166,"opportunity":605},"开发鱼菜共生系统智能体模型，模拟不同鱼、植物、气候和季节下的温室气体排放，用于教学。","基于智能体的建模（ABM），参数参考文献，输出随机性结果。","模型可交互展示鱼菜共生系统的温室气体排放，促进系统思维学习。","可扩展模型纳入更多环境与经济指标，或开发面向公众的在线交互平台。","2026-10-01T23:30:07.298849Z",{"id":608,"title":609,"url":610,"summary":611,"summary_zh":612,"content":9,"source_name":10,"source_url":610,"published_at":179,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":613,"score_detail":614,"sources":616,"tags":618,"primary_topic":623,"secondary_topics":626,"classification":628,"search_phrases":661,"slug":664,"view_count":21,"doi":665,"paper":666,"created_at":701},3756,"Improving soil carbon stabilization within conservation agriculture: An adaptive framework","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.agsy.2026.104980","CONTEXT Conservation agriculture (CA) is widely promoted for improving soil ecosystem services, including erosion reduction, water conservation, and soil health. Its contribution to soil organic carbon (SOC) restoration, however, is variable, often modest and concentrated near the surface and strongly dependent on climate, soil, residue management and cropping system. OBJECTIVE To examine why SOC stabilization under CA is limited in some systems and to propose an adaptive framework that increases the probability that crop-residue carbon (CR-C) and root-derived C are converted into more stable SOC pools. METHODS We synthesize evidence on CR-C fate, root-derived C, SOC fractions, nutrient stoichiometry and soil-profile placement, under CA and organize this evidence into a diagnosis-based adaptive framework that links intervention choice with evidence strength, operational feasibility and trade-offs. RESULTS AND CONCLUSIONS A central limitation is the low but highly variable conversion of aboveground CR-C into stabilized SOC, governed by soil texture, mineralogy, climate, residue quality, nutrient availability, rooting depth and time since CA adoption. We propose an adaptive CA framework with six optional, evidence-graded interventions triggered by diagnosed SOC-stabilization bottlenecks: (1) residue retention thresholds to avoid a “problem of plenty”; (2) conditional strategic soil disturbance for compaction, surface stratification and C placement; (3) companion crops that improve residue amount, quality and root inputs; (4) breeding and selection for root traits for deeper C delivery and SOC stabilization; (5) fertilization strategies that better align decomposition with microbial stoichiometric needs while considering trade-offs; and (6) fungal consortia to accelerate lignocellulose breakdown where field conditions support residue turnover without increasing C losses. Together these interventions provide an adaptive extension of CA that can improve the likelihood of measurable and more durable SOC stabilization where specific bottlenecks are diagnosed. SIGNIFICANCE Options exist to strengthen the SOC-stabilization component of CA where site-specific bottlenecks are present, while explicitly considering feasibility, costs, trade-offs and the need for empirical validation through long-term monitoring of whole-profile SOC stocks and greenhouse-gas outcomes.","背景 保护性农业（conservation agriculture, CA）被广泛推广以改善土壤生态系统服务，包括减少侵蚀、保持水分和促进土壤健康。然而，其对土壤有机碳（soil organic carbon, SOC）恢复的贡献具有变异性，通常较为有限，且集中于表层，并高度依赖气候、土壤、秸秆管理和种植制度。目的 探讨保护性农业下SOC稳定化在某些系统中受限的原因，并提出一个适应性框架，以提高作物秸秆碳（crop-residue carbon, CR-C）和根系来源碳转化为更稳定SOC库的概率。方法 我们综合了保护性农业下关于作物秸秆碳去向、根系来源碳、SOC组分、养分化学计量学及土壤剖面分布的证据，并将这些证据组织为一个基于诊断的适应性框架，将干预措施选择与证据强度、操作可行性和权衡取舍相联系。结果与结论 一个核心局限在于地上作物秸秆碳向稳定化SOC的转化率低且高度可变，受土壤质地、矿物学、气候、秸秆质量、养分有效性、根系深度及保护性农业采用时间等因素调控。我们提出了一个适应性保护性农业框架，包含六项可选的、按证据分级排序的干预措施，由诊断出的SOC稳定化瓶颈所触发：（1）秸秆还田阈值以避免“过多的问题”；（2）针对压实、表层分层和碳 placement 的条件性战略土壤扰动；（3）改善秸秆数量、质量和根系输入的伴生作物；（4）选育和筛选根系性状以实现更深层的碳输送和SOC稳定化；（5）施肥策略，在考虑权衡取舍的同时更好地使分解过程与微生物化学计量需求相匹配；（6）在田间条件支持秸秆周转且不增加碳损失的情况下，利用真菌菌群加速木质纤维素分解。这些干预措施共同构成了保护性农业的适应性延伸，在诊断出特定瓶颈的情况下，可提高实现可测量且更持久SOC稳定化的可能性。意义 在存在特定地点瓶颈的情况下，现有方案可强化保护性农业的SOC稳定化功能，同时需明确考虑可行性、成本、权衡取舍，以及通过长期监测全剖面SOC储量和温室气体排放结果进行实证验证的必要性。",79,{"impact":270,"substance":18,"depth":17,"authority":19,"freshness":20,"relevant":21,"comment":615},"该研究提出基于诊断的保护性农业自适应框架，为提升土壤有机碳稳定提供可操作路径，专业深度与信息增量突出，值得进入每日精选。",[617],{"name":10,"url":610},[27,619,620,621,622],"土壤健康","农业碳汇","土壤固碳","根际性状",{"code":207,"slug":211,"name":624,"path":625,"parent_code":49},"土壤健康与改良","\u002Ftopic\u002Fenvironment\u002Fsoil",[627],{"code":45,"slug":46,"name":47,"path":48,"parent_code":49},{"status":51,"locked":14,"version":52,"method":53,"evidence":629},{"candidates":630,"agricultural_evidence":57},[631,635,639,643,648,652,657],{"code":207,"score":270,"supported":57,"title":632,"abstract":633,"tags":634},[211],[210,211],[619,621],{"code":45,"score":70,"supported":57,"title":636,"abstract":637,"tags":638},[72],[72],[27],{"code":32,"score":77,"supported":57,"title":640,"abstract":641,"tags":642},[],[61,59],[],{"code":39,"score":77,"supported":57,"title":644,"abstract":645,"tags":647},[],[67,646],"fertilization",[],{"code":314,"score":92,"supported":57,"title":649,"abstract":650,"tags":651},[],[317],[],{"code":91,"score":92,"supported":57,"title":653,"abstract":654,"tags":656},[],[655],"生态系统服务",[],{"code":98,"score":21,"supported":14,"title":658,"abstract":659,"tags":660},[],[],[620],[662,663],"保护性农业 土壤有机碳 固碳","保护性农业 根际性状 碳稳定","保护性农业土壤有机碳固碳-3756","10.1016\u002Fj.agsy.2026.104980",{"doi":665,"openalex_id":667,"authors":668,"venue":10,"cited_by_count":161,"oa_url":610,"card":696,"direction":166,"ingested_from":168},"W7214662811",[669,672,675,677,680,683,685,688,691,694],{"name":670,"orcid":671},"Anupam Das","https:\u002F\u002Forcid.org\u002F0000-0001-6548-215X",{"name":673,"orcid":674},"Ashim Datta","https:\u002F\u002Forcid.org\u002F0000-0002-1843-9981",{"name":676,"orcid":9},"Samrat Ghosh",{"name":678,"orcid":679},"Sahely Kanthal","https:\u002F\u002Forcid.org\u002F0000-0001-6550-5227",{"name":681,"orcid":682},"Anwesha Mandal","https:\u002F\u002Forcid.org\u002F0009-0003-0113-211X",{"name":684,"orcid":9},"Dibyendu Sarkar",{"name":686,"orcid":687},"Probir Kumar Ghosh","https:\u002F\u002Forcid.org\u002F0000-0003-1580-5883",{"name":689,"orcid":690},"Richard William Bell","https:\u002F\u002Forcid.org\u002F0000-0002-7756-3755",{"name":692,"orcid":693},"Debashis Chakraborty","https:\u002F\u002Forcid.org\u002F0000-0001-9664-8095",{"name":695,"orcid":9},"Biswapati Mandal",{"tldr":697,"method":698,"finding":699,"direction":166,"opportunity":700},"提出诊断式自适应保护性农业框架，提升秸秆与根系碳向稳定土壤有机碳的转化。","综合秸秆碳去向、根系碳、有机碳组分与养分化学计量证据，构建六项分级干预框架。","保护性农业固碳受质地、气候、残体质量等制约，需按诊断瓶颈选择干预以提升稳定性。","可针对不同土壤-气候区量化各干预的固碳效率与权衡，并开展全剖面长期监测验证。","2026-09-29T23:30:04.622148Z"]