[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3953":3,"related-3953":84},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":8,"published_at":11,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":24,"tags":26,"primary_topic":33,"secondary_topics":38,"classification":39,"search_phrases":78,"slug":81,"view_count":82,"doi":8,"paper":8,"created_at":83},3953,"桑榆怀壮志 沃野启新思——老科技工作者决策咨询沙龙在河南省农科院举行","https:\u002F\u002Fwww.hnjjbs.com\u002Farticle\u002F2026-09\u002F179073914172289.html","9月28日，以助推乡村产业振兴、赋能农业农村现代化为主题的老科技工作者决策咨询沙龙在河南省农科院举行。来自科研院所、高等院校、农业技术推广领域的省老科协乡村振兴专委会委员及省、市、县老科协理事共40余人齐聚一堂。中国社会科学院研究员翁鸣从国家战略视角剖析粮食安全发展趋势；河南农业大学教授王成章围绕黄河滩区粮草轮作作交流，介绍\"3+2\"粮草轮作模式。",null,"**河南经济报记者 郭俊娟 通讯员 朱笑笑**\n\n9月28日，以助推乡村产业振兴、赋能农业农村现代化为主题的老科技工作者决策咨询沙龙在河南省农科院举行。本次沙龙在中国科协、中国老科协联合招标课题支持下，由河南省农科院农经所承办。\n\n![Image 1](https:\u002F\u002Fmedia.zyjjw.cn\u002Fzycf\u002Fdata\u002Fattachment\u002Fforum\u002F202609\u002F29\u002F175459lh4dcfzus5wkwzdu.png)\n\n来自科研院所、高等院校、农业技术推广领域的省老科协乡村振兴专委会委员及省、市、县老科协理事共40余人齐聚一堂，共同探索老科技工作者服务乡村产业振兴的新模式、新路径，为河南乡村产业高质量发展贡献银发科技力量。\n\n![Image 2](https:\u002F\u002Fmedia.zyjjw.cn\u002Fzycf\u002Fdata\u002Fattachment\u002Fforum\u002F202609\u002F29\u002F175646f1a1887jcagz9xx7.jpg)\n\n河南省农科院农经所所长滕永忠在致辞中表示，广大老科技工作者是宝贵的人才资源。历经数十年深耕“三农”一线，老专家们积淀了扎实专业功底与丰富实践经验，熟悉河南乡土乡情，能够精准把脉农业发展短板弱项，是开展决策咨询、科技助农的重要智库力量，希望各位专家畅所欲言，把实践经验转化为可落地的对策建议。\n\n![Image 3](https:\u002F\u002Fmedia.zyjjw.cn\u002Fzycf\u002Fdata\u002Fattachment\u002Fforum\u002F202609\u002F29\u002F175634q8rrmzl6ztwpqf8f.png)\n\n沙龙现场，多位老专家结合一线调研实践分享典型案例。中国社会科学院研究员翁鸣从国家战略视角剖析粮食安全发展趋势。他提出，我国粮食安全战略将逐步由数量安全向质量安全转型，要把握好战略转换窗口期，依托农业科研院校系统开展科学试验，为河南农产品质量提升谋划长远方案。\n\n![Image 4](https:\u002F\u002Fmedia.zyjjw.cn\u002Fzycf\u002Fdata\u002Fattachment\u002Fforum\u002F202609\u002F29\u002F175740k421in2zo2g2z7km.png)\n\n河南农业大学教授王成章围绕黄河滩区粮草轮作作交流，介绍“3+2”粮草轮作模式在兰考等地的推广实践。该模式利用苜蓿改良土壤，实现滩区土地“既能产粮、也能产草”，现已在黄河滩区9个县落地应用，实现低产变中产、中产变高产、滩区土地提质增效。他提出，滩区土地利用应当坚持量质并重，不断提升土地综合产出效益。\n\n![Image 5](https:\u002F\u002Fmedia.zyjjw.cn\u002Fzycf\u002Fdata\u002Fattachment\u002Fforum\u002F202609\u002F29\u002F175806jt33g2zkna3ann3h.png)\n\n省农科院园艺所研究员王鹏分享退休后扎根黄河滩区有机农场的创业实践，围绕“机制、品种、技术”三个创新维度介绍黄河滩区葡萄园改造经验，通过创新分配机制、引进优质专利葡萄品种、制定标准化有机生产规程，延长鲜果供应周期，实现产品溢价，为特色果蔬产业发展提供鲜活样本。\n\n![Image 6](https:\u002F\u002Fmedia.zyjjw.cn\u002Fzycf\u002Fdata\u002Fattachment\u002Fforum\u002F202609\u002F29\u002F175837ec7arcgr5rrcgc1z.png)\n\n省农科院食用菌研究所研究员张玉亭提出“良菇轮作、菌渣还田”创新模式，将食用菌生产嵌入粮食种植体系，既能消纳大量农作物秸秆，又可提升土壤有机质，在化肥减量的前提下实现后茬粮食增产。他建议把“粮仓菌仓协同建设”上升为省级战略，实现为秸秆找出路、为土壤谋生机、为农民增收益的多重目标。\n\n![Image 7](https:\u002F\u002Fmedia.zyjjw.cn\u002Fzycf\u002Fdata\u002Fattachment\u002Fforum\u002F202609\u002F29\u002F175911h9aeus8ugs6q31cg.png)\n\n在自由交流环节，多位参会代表分享基层实践。河南省委组织部二级巡视员曹永鹏介绍潢川县龙骨村驻村产业帮扶经验;濮阳市清丰县政协原副主席、县老科协会长赵怀欣讲述清丰县老科协以高质量调研报告推动豫丰黄兔产业写入当地“十五五”规划，积极争取科研院所技术支撑、项目资金扶持;濮阳市农林科学院原院长许国震围绕小麦产业化、专用粉开发、特色养殖建言献策;河南农业大学教授宋家永在粮仓、草仓、菌仓基础上，建议增加“食品仓”，关注富硒产业与无人农场等智慧农业方向。\n\n![Image 8](https:\u002F\u002Fmedia.zyjjw.cn\u002Fzycf\u002Fdata\u002Fattachment\u002Fforum\u002F202609\u002F29\u002F175935vrj0j4fizgf3tfut.png)\n\n省农科院原副院长乔鹏程作总结发言。他指出，河南作为农业大省，要充分发挥高校、科研院所智库作用。省老科协乡村振兴专委会将持续搭建交流平台，强化全省农科系统、农业院校和农技推广部门的老专家协同联动，把老科技工作者的智力资源转化为服务产业发展的实际行动，为河南乡村产业振兴持续输出智慧方案。\n\n后续，活动将梳理研讨观点，形成决策咨询专报，报送相关职能部门，进一步打通老专家智力资源对接乡村一线的通道，引导更多老科技工作者发挥余热，以银发力量助力河南农业农村现代化建设。","河南经济网·2026年09月30日","2026-09-30T03:31:22Z","报道",10,false,64,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},16,18,15,9,6,1,"省级老科协决策咨询沙龙，含粮草轮作、菌渣还田等可落地技术案例，具行业参考价值。",[25],{"name":10,"url":6},[27,28,29,30,31,32],"乡村振兴","黄河滩区","银发科技","粮草轮作","菌渣还田","决策咨询",{"code":34,"slug":35,"name":36,"path":37,"parent_code":8},"A","field-crops","大田作物","\u002Ftopic\u002Ffield-crops",[],{"status":40,"locked":14,"version":41,"method":42,"evidence":43},"partial","2026-10-22.2","rules",{"candidates":44,"agricultural_evidence":48,"reason":77},[45,52,59,65,71],{"code":46,"score":47,"supported":48,"title":49,"abstract":50,"tags":51},"G",4,true,[],[27],[27],{"code":53,"score":54,"supported":48,"title":55,"abstract":56,"tags":58},"A7",3,[],[57],"轮作",[],{"code":60,"score":54,"supported":48,"title":61,"abstract":62,"tags":64},"A8",[],[63],"粮食安全",[],{"code":66,"score":54,"supported":48,"title":67,"abstract":68,"tags":70},"G4",[],[69],"乡村产业",[],{"code":72,"score":54,"supported":48,"title":73,"abstract":74,"tags":76},"J2",[],[75],"农业农村现代化",[],"一级领域明确，二级方向需要细分",[79,80],"河南省农科院 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2026 年 10 月 09 日 转山东省农业科学院","2026-10-08T16:00:00Z",61,{"impact":17,"substance":96,"depth":97,"authority":98,"freshness":99,"relevant":22,"comment":100},14,12,11,8,"省级农科院下沉乡村的科普实践报道，模式有参考价值但属常规宣传，未达每日精选门槛。",[102],{"name":92,"url":89},[27,104,105,106,107],"种业振兴","农业科普","生物安全","农技推广",{"code":34,"slug":35,"name":36,"path":37,"parent_code":8},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":111},{"candidates":112,"agricultural_evidence":48,"reason":77},[113,119,125,131,137,143,149,154,159,163],{"code":114,"score":54,"supported":48,"title":115,"abstract":116,"tags":118},"A2",[],[117],"小麦",[],{"code":120,"score":54,"supported":48,"title":121,"abstract":122,"tags":124},"A3",[],[123],"玉米",[],{"code":126,"score":54,"supported":48,"title":127,"abstract":128,"tags":130},"B2",[],[129],"猕猴桃",[],{"code":132,"score":54,"supported":48,"title":133,"abstract":134,"tags":136},"F4",[],[135],"绿色防控",[],{"code":138,"score":54,"supported":48,"title":139,"abstract":140,"tags":142},"H3",[],[141],"灌溉",[],{"code":144,"score":54,"supported":48,"title":145,"abstract":146,"tags":148},"J4",[],[147],"丰收节",[],{"code":150,"score":22,"supported":14,"title":151,"abstract":152,"tags":153},"C5",[],[],[106],{"code":155,"score":22,"supported":14,"title":156,"abstract":157,"tags":158},"F1",[],[],[104],{"code":46,"score":22,"supported":14,"title":160,"abstract":161,"tags":162},[],[],[27],{"code":164,"score":22,"supported":14,"title":165,"abstract":166,"tags":167},"G1",[],[],[107],[169,170],"山东省农科院 曲家庄 科普","济麦 鲁单 良种","山东省农科院曲家庄科普-4535","2026-10-10T00:14:57.654399Z",{"id":174,"title":175,"url":176,"summary":177,"summary_zh":8,"content":178,"source_name":179,"source_url":8,"published_at":180,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":181,"score_detail":182,"sources":185,"tags":187,"primary_topic":192,"secondary_topics":193,"classification":194,"search_phrases":224,"slug":227,"view_count":211,"doi":8,"paper":8,"created_at":228},3389,"直播赋能乡土经济——宿迁市青年企业家联合会9月20日开展快手主播助农助商专场直播","https:\u002F\u002Fjs.cnr.cn\u002Fkjjr\u002F20260922\u002Ft20260922_527821420.shtml","9月20日宿迁市青年企业家联合会特邀快手主播走进宿迁，开展助农助商专场直播带货活动，聚焦泗洪蟹园大米、八集花生、鹿茸菇、稻米油等本土优质农特产品。此次助农助商直播是社会组织联动新媒体资源助力地方经济发展的实践，下一步将持续发挥平台优势，深化电商助农助商行动，链接更多新媒体资源，挖掘本土优质农副产品。","![Image 3](https:\u002F\u002Fwww.cnr.cn\u002F2021\u002Fshare20210521.png)\n\n[](https:\u002F\u002Fwww.cnr.cn\u002F)[](https:\u002F\u002Fm.cnr.cn\u002F)\n\n*   [首页](https:\u002F\u002Fwww.cnr.cn\u002F)\n*   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4](https:\u002F\u002Fmediabluk.cnr.cn\u002Fimg\u002Fcnr\u002FCNRCDP\u002F2026\u002F0922\u002Fff34238947e548bbbdc9384638eb521910.png?auth=4df09926cbb6bce9c1adfe652e3c5571&scale=1.50)\n\n助农助商专场直播（宿迁市青年企业家联合会供图）\n\n直播间内，主播化身宿迁好物推介官，聚焦本地优质农特产品，向广大网友细致讲解每一款产品的特色与优势。泗洪蟹园大米采用稻蟹共生生态种养模式，米粒饱满醇香；八集花生风味地道，承载乡土滋味；鹿茸菇口感鲜爽，营养丰富；稻米油萃取稻米精华，健康醇香。一件件产自宿迁田间地头的好物轮番上架，接地气的讲解，真实直观的产品展示，点燃网友的购买热情。\n\n![Image 5](https:\u002F\u002Fmediabluk.cnr.cn\u002Fimg\u002Fcnr\u002FCNRCDP\u002F2026\u002F0922\u002F4eacf132cf464f9c997b4d0111e4685e10.png?auth=31958a9742bab9d2c0cfa39ae9d5bacf&scale=1.50)\n\n助农助商专场直播（宿迁市青年企业家联合会供图）\n\n本场直播订单量节节攀升，销售成绩喜人。一场云端直播间，搭建起农产品从田间直达消费者餐桌的快速通道。以往部分优质土特产面临知名度不高、销路受限等难题，借助直播电商的东风，宿迁本土农特产品打破地域限制，走出苏北乡村，走向全国市场。\n\n此次助农助商直播，是社会组织联动新媒体资源助力地方经济发展的一次有益实践。宿迁市青年企业家联合会充分发挥桥梁纽带作用，牵线搭建直播对接平台，借力流量激活乡村发展新动能，既帮助农户与商家纾解销售压力，也进一步擦亮宿迁农产品牌。\n\n下一步，宿迁市青年企业家联合会将持续发挥平台优势，深化电商助农助商行动，链接更多新媒体资源，挖掘本土优质农副产品，讲好宿迁乡村故事，以电商活水浇灌乡土产业，为宿迁乡村振兴注入源源不断的数字力量。（来源：宿迁市青年企业家联合会）\n\n编辑:吕倩媛\n\n更多精彩资讯请在应用市场下载“央广网”客户端。欢迎提供新闻线索，24小时报料热线400-800-0088；消费者也可通过央广网“啄木鸟消费者投诉平台”线上投诉。版权声明：本文章版权归属央广网所有，未经授权不得转载。转载请联系：cnrbanquan@cnr.cn，不尊重原创的行为我们将追究责任。\n\n[热榜](https:\u002F\u002Fjs.cnr.cn\u002Fkjjr\u002F20260922\u002Ft20260922_527821420.shtml)\n\n*   [送别“济公”！表演艺术家游本昌今晨去世](https:\u002F\u002Fwww.cnr.cn\u002Fnewscenter\u002Fnative\u002Fgd\u002Fkx\u002F20260924\u002Ft20260924_527823727.shtml) 2026-09-24 13:22:26 \n*   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宿迁：直播赋能乡土经济\n\n9月20日，宿迁市青年企业家联合会特邀快手主播走进宿迁，开展助农助商专场直播带货活动。\n\n00:00\u002F00:00","央广网江苏频道 2026-09-22","2026-09-22T00:00:00Z",43,{"impact":99,"substance":13,"depth":21,"authority":97,"freshness":183,"relevant":22,"comment":184},7,"地市级助农直播活动报道，有具体产品与做法但属常规宣传，公共信息增量有限，可作为数字乡村案例收录。",[186],{"name":179,"url":176},[188,189,27,190,191],"农村电商","数字乡村","直播助农","宿迁农产品",{"code":34,"slug":35,"name":36,"path":37,"parent_code":8},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":195},{"candidates":196,"agricultural_evidence":48,"reason":77},[197,203,209,215,219],{"code":198,"score":54,"supported":48,"title":199,"abstract":200,"tags":202},"A1",[],[201],"稻米",[],{"code":204,"score":54,"supported":48,"title":205,"abstract":206,"tags":208},"A4",[],[207],"花生",[],{"code":210,"score":211,"supported":14,"title":212,"abstract":213,"tags":214},"E5",2,[],[],[188,190],{"code":46,"score":22,"supported":14,"title":216,"abstract":217,"tags":218},[],[],[27],{"code":220,"score":22,"supported":14,"title":221,"abstract":222,"tags":223},"I6",[],[],[189],[225,226],"宿迁 快手 助农直播","泗洪蟹园大米 八集花生","宿迁快手助农直播-3389","2026-09-25T00:09:27.779080Z",{"id":230,"title":231,"url":232,"summary":233,"summary_zh":234,"content":8,"source_name":235,"source_url":232,"published_at":236,"category":237,"cover_url":8,"hotness":13,"is_selected":14,"score":238,"score_detail":239,"sources":242,"tags":244,"primary_topic":250,"secondary_topics":251,"classification":252,"search_phrases":288,"slug":291,"view_count":292,"doi":293,"paper":294,"created_at":337},5550,"Integrated effects of fermented organic manure on soil fertility, productivity, and economic performance of the rice–wheat cropping system in Uttar Pradesh","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1968370","The rice–wheat cropping system (RWCS) is a major cereal-based production system in Uttar Pradesh, India, where sustaining crop productivity and soil fertility under intensive cultivation is a major challenge. This study evaluated the field-level performance of fermented organic manure (FOM) integrated with inorganic fertilizers in terms of crop productivity, selected soil fertility indicators, and economic returns during 2025–2026. A total of 224 frontline demonstrations (FLDs) were conducted through 25 Krishi Vigyan Kendras (KVKs) across Uttar Pradesh. The analysis included demonstrations with sufficiently complete and consistent field-level records, comprising 40 rice and 110 wheat demonstrations under farmers’ field conditions and 6 rice and 11 wheat demonstrations at KVK instructional farms. Seven nutrient management treatments were evaluated at KVK farms, compared with three treatments under farmers’ field conditions. Crop performance, post-harvest soil fertility indicators, and economic returns were assessed. The treatment combining 100% recommended inorganic fertilizers with 125% FOM (T₃) recorded the highest numerical means for most growth and yield attributes and grain yield in both crops. Compared with 100% recommended inorganic fertilizers alone, T₃ increased grain yield by 6.4–7.3% in rice and 10.8–12.7% in wheat. FOM-integrated treatments also showed higher numerical values of soil organic carbon (SOC) and available nitrogen, phosphorus, and potassium after the rice–wheat cropping cycle. Under T₃, SOC increased from 0.271% to 0.304% at KVK instructional farms and from 0.447% to 0.515% under farmers’ field conditions. Although T₃ generally recorded the highest numerical gross returns, the additional costs of FOM reduced net returns and benefit–cost (B) ratios in several cases. Under farmers’ field conditions, inorganic fertilizers alone recorded higher numerical net returns and B ratios for both crops. The findings indicate that integrating FOM with recommended inorganic fertilizers was associated with improved crop productivity and selected soil fertility indicators under the demonstrated rice–wheat systems. However, the economic advantage depended on the costs of FOM production, transportation, and application. As the demonstrations were participatory and lacked formal plot-level randomization and inferential statistical testing, the observed differences represent descriptive numerical responses rather than statistically established treatment effects. Further controlled trials and cost optimization are needed to establish the agronomic and economic viability of FOM-integrated nutrient management.","稻麦种植制度（RWCS）是印度北方邦以谷类作物为主的重要生产体系，在集约化种植下维持作物生产力与土壤肥力是该体系面临的主要挑战。本研究评估了发酵有机肥（FOM）与无机肥料配合施用在2025—2026年度对作物生产力、选定土壤肥力指标及经济效益的田间表现。研究通过北方邦25个农业科技推广中心（KVKs）开展了224项前线示范（FLDs）。分析纳入了田间记录足够完整且一致的示范，包括农民田块条件下的40项水稻和110项小麦示范，以及KVK教学农场的6项水稻和11项小麦示范。在KVK农场评估了7个养分管理处理，并与农民田块条件下的3个处理进行比较。评估了作物表现、收获后土壤肥力指标及经济效益。100%推荐无机肥料配合125% FOM的处理（T₃）在两种作物的多数生长和产量性状及籽粒产量上记录了最高的数值均值。与单施100%推荐无机肥料相比，T₃使水稻籽粒产量提高6.4%—7.3%，小麦提高10.8%—12.7%。整合FOM的处理在稻麦轮作周期后也表现出较高的土壤有机碳（SOC）及有效氮、磷、钾数值。在T₃处理下，KVK教学农场的SOC从0.271%提高到0.304%，农民田块条件下从0.447%提高到0.515%。尽管T₃总体上记录了最高的数值总收益，但FOM的额外成本在多种情况下降低了净收益和效益成本比（B）。在农民田块条件下，单施无机肥料在两种作物上均记录了较高的数值净收益和B比。研究结果表明，在示范的稻麦系统中，FOM与推荐无机肥料配合施用与作物生产力及选定土壤肥力指标的改善相关。然而，经济优势取决于FOM的生产、运输和施用成本。由于示范为参与式，缺乏正式的田块水平随机化和推断性统计检验，观察到的差异代表描述性数值响应，而非统计学上确立的处理","Frontiers in Sustainable Food Systems","2026-10-21T00:00:00Z","论文",71,{"impact":17,"substance":18,"depth":19,"authority":240,"freshness":20,"relevant":22,"comment":241},13,"基于224个前线示范的实地数据，结论有参考价值，但缺乏随机化与统计检验，且为印度区域研究，属细分领域进展。",[243],{"name":235,"url":232},[245,246,247,248,249],"有机肥","土壤肥力","养分管理","印度农业","水稻小麦轮作",{"code":34,"slug":35,"name":36,"path":37,"parent_code":8},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":253},{"candidates":254,"agricultural_evidence":48,"reason":77},[255,262,268,273,279,283],{"code":256,"score":19,"supported":48,"title":257,"abstract":259,"tags":261},"H2",[258],"soil",[260,258],"土壤",[246],{"code":198,"score":96,"supported":48,"title":263,"abstract":265,"tags":267},[264],"rice",[266,264],"水稻",[],{"code":114,"score":96,"supported":48,"title":269,"abstract":271,"tags":272},[270],"wheat",[117,270],[],{"code":274,"score":99,"supported":48,"title":275,"abstract":276,"tags":278},"F3",[],[277,247],"肥料",[247,245],{"code":53,"score":54,"supported":48,"title":280,"abstract":281,"tags":282},[],[57],[],{"code":284,"score":22,"supported":14,"title":285,"abstract":286,"tags":287},"J3",[],[],[248],[289,290],"发酵有机肥 稻麦轮作","Uttar Pradesh 稻麦系统","发酵有机肥稻麦轮作-5550",0,"10.3389\u002Ffsufs.2026.1968370",{"doi":293,"openalex_id":295,"authors":296,"venue":235,"cited_by_count":292,"oa_url":329,"card":330,"direction":334,"ingested_from":336},"W7223144837",[297,299,302,303,306,309,311,312,314,317,319,322,324,326],{"name":298,"orcid":8},"Raghwendra Singh",{"name":300,"orcid":301},"Ajay Kumar Singh","https:\u002F\u002Forcid.org\u002F0000-0002-8743-6477",{"name":300,"orcid":301},{"name":304,"orcid":305},"Preeti P. Yadav","https:\u002F\u002Forcid.org\u002F0000-0001-7843-9783",{"name":307,"orcid":308},"Seema Yadav","https:\u002F\u002Forcid.org\u002F0000-0002-9773-6641",{"name":310,"orcid":8},"Abhishek Singh",{"name":310,"orcid":8},{"name":313,"orcid":8},"Saurabh Raj Pandey",{"name":315,"orcid":316},"Vinod Kumar Singh","https:\u002F\u002Forcid.org\u002F0009-0004-2583-6565",{"name":318,"orcid":8},"Narendra Raghubanshi",{"name":320,"orcid":321},"Yash Pal Singh","https:\u002F\u002Forcid.org\u002F0000-0001-8345-9084",{"name":323,"orcid":8},"Mahesh Kumar",{"name":325,"orcid":8},"Shivangi Singh",{"name":327,"orcid":328},"Reena Kumari","https:\u002F\u002Forcid.org\u002F0000-0002-1101-5473","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1968370\u002Fpdf",{"tldr":331,"method":332,"finding":333,"direction":334,"opportunity":335},"评估发酵有机肥配施化肥对稻麦轮作产量、土壤肥力与经济收益的综合影响。","印度北方邦224个农户与KVK示范基地田间示范，比较7种养分管理处理。","全量化肥配125%发酵有机肥增产稻6.4-7.3%、麦10.8-12.7%并提升有机碳，但净收益常因","农业绿色发展与碳","可研究有机肥成本分摊与碳交易补偿机制，量化其经济可行性与土壤固碳协同效益。","openalex","2026-10-22T11:20:16.098808Z",{"id":339,"title":340,"url":341,"summary":342,"summary_zh":8,"content":343,"source_name":344,"source_url":8,"published_at":345,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":346,"score_detail":347,"sources":349,"tags":351,"primary_topic":356,"secondary_topics":357,"classification":358,"search_phrases":379,"slug":382,"view_count":292,"doi":8,"paper":8,"created_at":383},5437,"上海农科院揭榜天长市粮食单产提升项目 攻关水稻秸秆田边发酵技术","https:\u002F\u002Fwww.tianchang.gov.cn\u002Fzwdt\u002Ftzgg\u002F392406342.html","天长市农业农村局公示 2026 年粮食单产提升「揭榜挂帅」项目实施单位，上海市农业科院与南京农业大学工学院分别揭榜水稻秸秆田边发酵技术研究与示范、秸秆田间就地焚燎消杀还田技术模式示范推广两个项目，公示期为 2026 年 10 月 20 日至 26 日。该举措旨在破解秸秆直接还田弊端、缓解秸秆禁烧压力，同时提高粮食单产，是科研院所参与县域粮食单产提升「揭榜挂帅」的具体落地案例。","403\n\nForbidden\n\nError Times: Wed, 21 Oct 2026 00:10:36 GMT   \nIP: 2600:1900:0:2105::1c01 Node information: PS-ATL-017OX49   \nURL: https:\u002F\u002Fwww.tianchang.gov.cn\u002Fzwdt\u002Ftzgg\u002F392406342.html   \nRequest-Id: 6ad802fc_PS-ATL-017OX49_7380-31487   \nCheck: Details\n\nERROR\n\nThe Requested URL could not be retrieved\n\nWhile trying to retrieve the URL:\n\nhttps:\u002F\u002Fwww.tianchang.gov.cn\u002Fzwdt\u002Ftzgg\u002F392406342.html\n\nThe following error was encountered:\n\n*   Invalid Request\n\nThe access control configuration prevents your request at this time.\n\nPlease contact your service provider if you feel this is incorrect.\n\n[return](https:\u002F\u002Fwww.tianchang.gov.cn\u002Fzwdt\u002Ftzgg\u002F392406342.html#)","天长市人民政府 2026-10-20","2026-10-20T00:00:00Z",41,{"impact":97,"substance":99,"depth":21,"authority":21,"freshness":20,"relevant":22,"comment":348},"地市级院地合作动态，主题相关但正文仅403字且原文不可访问，信息增量与专业深度有限，暂不宜进入每日精选。",[350],{"name":344,"url":341},[266,352,353,354,355],"院地合作","秸秆利用","粮食单产提升","天长市",{"code":34,"slug":35,"name":36,"path":37,"parent_code":8},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":359},{"candidates":360,"agricultural_evidence":48,"reason":77},[361,365,370,374],{"code":198,"score":97,"supported":48,"title":362,"abstract":363,"tags":364},[266],[266],[266],{"code":60,"score":97,"supported":48,"title":366,"abstract":368,"tags":369},[367],"单产提升",[367],[354],{"code":164,"score":22,"supported":14,"title":371,"abstract":372,"tags":373},[],[],[352],{"code":375,"score":22,"supported":14,"title":376,"abstract":377,"tags":378},"H5",[],[],[353],[380,381],"上海农科院 天长市 水稻秸秆","天长市 粮食单产提升 秸秆发酵","上海农科院天长市水稻秸秆-5437","2026-10-21T00:10:01.423686Z",{"id":385,"title":386,"url":387,"summary":388,"summary_zh":389,"content":8,"source_name":390,"source_url":387,"published_at":391,"category":237,"cover_url":8,"hotness":13,"is_selected":14,"score":392,"score_detail":393,"sources":396,"tags":398,"primary_topic":404,"secondary_topics":405,"classification":406,"search_phrases":428,"slug":431,"view_count":292,"doi":432,"paper":433,"created_at":446},5404,"Validation of a Day-of-Year Standardized Canopy Indicator for Regional Crop Monitoring: Suitability and Decoupling Boundaries","https:\u002F\u002Fdoi.org\u002F10.20944\u002Fpreprints202610.1707.v1","Translating satellite-derived crop canopy anomalies into regional production signals is critical for agricultural monitoring. However, standard anomaly indicators assume a stable, direct coupling between greenness and production, ignoring phenological shifts, sub-seasonal cropping dynamics, and harvested acreage fluctuations. I evaluate the validation boundaries and expected conditions of a pixel-level, day-of-year (DOY)-first Leaf Area Index (LAI) Z-score anomaly indicator with a leave- year-out baseline (2003–2022) across five contrasting global breadbaskets: Australia, Indo-Gangetic Plains (IGP), North China Plain (NCP), US Corn Belt, and Ukraine. The analysis shows that DOY- first standardization reduces temporal composite timing mismatches, though coupling with regional statistics varies systematically. Retrospective validation reveals that direct canopy-yield coupling remains robust exclusively in rainfed Australia (Pearson’s r = 0.90), where yield variability dominates production variance (explaining 90% of variance) and moisture stress limits canopy development. In contrast, three interpretation boundaries are identified: (1) greening trend-sensitivity in the IGP, where detrending reduces the association to r = 0.53; (2) temporal representativeness bias in the double-cropped NCP, requiring crop-calendar windowing to recover the wheat signal (r = 0.51); and (3) area-shock-sensitivity in Ukraine (where harvested area contractions explain 78% of production variance), decoupling canopy vigor from production (r = 0.40). Furthermore, the LAI Z-score provides a more interpretable canopy-response measure than the Vegetation Condition Index (VCI) in dense canopies where NDVI saturates. These validation levels are synthesized into a prototype diagnostic decision framework to support indicator configuration in operational monitoring systems.","将卫星反演的作物冠层异常转化为区域产量信号对农业监测至关重要。然而，标准异常指标假定绿度与产量之间存在稳定、直接的耦合关系，忽略了物候偏移、次季节作物动态以及收获面积波动。我评估了一种像元级、以年积日（DOY）为首要标准化维度的叶面积指数（LAI）Z分数异常指标在五个对比鲜明的全球粮仓——澳大利亚、印度河-恒河平原（IGP）、华北平原（NCP）、美国玉米带和乌克兰——的验证边界与预期适用条件，该指标采用留一年基线（2003—2022年）。分析表明，以DOY为首要标准化维度可减少时间合成时相不匹配，但其与区域统计数据的耦合关系存在系统性差异。回顾性验证显示，冠层与产量的直接耦合仅在雨养条件下的澳大利亚保持稳健（Pearson's r = 0.90），该地区产量变异性主导产量方差（解释90%的方差），且水分胁迫限制冠层发育。相比之下，识别出三个解释边界：（1）IGP的绿度趋势敏感性，去趋势后关联性降至r = 0.53；（2）双季种植的NCP的时间代表性偏差，需按作物日历开窗以恢复小麦信号（r = 0.51）；（3）乌克兰的面积冲击敏感性（收获面积缩减解释78%的产量方差），导致冠层活力与产量解耦（r = 0.40）。此外，在NDVI饱和的密集冠层中，LAI Z分数提供了比植被条件指数（VCI）更具可解释性的冠层响应度量。这些验证层级被综合为一个原型诊断决策框架，以支持业务化监测系统中的指标配置。","Preprints.org","2026-10-19T00:00:00Z",65,{"impact":97,"substance":394,"depth":18,"authority":21,"freshness":99,"relevant":22,"comment":395},21,"预印本提出按年积日标准化的LAI异常指标，并在五大农业区验证其适用边界，方法有新意但尚未经同行评审，属细分领域进展。",[397],{"name":390,"url":387},[399,400,401,402,403],"智慧农业","遥感","作物监测","产量估测","叶面积指数",{"code":34,"slug":35,"name":36,"path":37,"parent_code":8},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":407},{"candidates":408,"agricultural_evidence":48,"reason":77},[409,413,418,423],{"code":114,"score":21,"supported":48,"title":410,"abstract":411,"tags":412},[],[117,270],[],{"code":120,"score":21,"supported":48,"title":414,"abstract":415,"tags":417},[],[123,416],"corn",[],{"code":419,"score":54,"supported":14,"title":420,"abstract":421,"tags":422},"I3",[],[],[402,401,403,400],{"code":424,"score":22,"supported":14,"title":425,"abstract":426,"tags":427},"I1",[],[],[399],[429,430],"LAI Z-score 作物监测","遥感 作物产量 估测","LAIZ-score作物监测-5404","10.20944\u002Fpreprints202610.1707.v1",{"doi":432,"openalex_id":434,"authors":435,"venue":390,"cited_by_count":292,"oa_url":387,"card":439,"direction":445,"ingested_from":336},"W7222967882",[436],{"name":437,"orcid":438},"Xiaolong Song","https:\u002F\u002Forcid.org\u002F0000-0002-2106-6629",{"tldr":440,"method":441,"finding":442,"direction":443,"opportunity":444},"验证了按年积日标准化的LAI Z-score冠层指标在五大农业区的适用边界。","用2003–2022年留一年基线，在五个全球粮仓区做LAI DOY标准化与产量相","仅雨养澳大利亚冠层-产量强耦合(r=0.90)，其余区域受趋势、物候和面积冲击影响而解耦。","农业遥感与作物表型","可发展融合物候窗口、去趋势与收获面积因子的分区自适应冠层异常指标诊断框架。","农业人工智能与决策模型","2026-10-20T23:30:40.675672Z",{"id":448,"title":449,"url":450,"summary":451,"summary_zh":8,"content":452,"source_name":453,"source_url":8,"published_at":454,"category":12,"cover_url":8,"hotness":13,"is_selected":48,"score":455,"score_detail":456,"sources":460,"tags":462,"primary_topic":467,"secondary_topics":468,"classification":469,"search_phrases":498,"slug":501,"view_count":292,"doi":8,"paper":8,"created_at":502},5335,"中国农业科学院「农知育芯 BRIS」智能育种平台在洛阳发布 打造智能育种科研副脑","https:\u002F\u002Fcaas.cn\u002Fxwzx\u002Fmtxw\u002Fa297dd7421fa4a3ba08c08863fbe3eb7.htm","10 月 14—16 日中国农学会图书情报分会 2026 年学术年会在河南洛阳举办。中国农业科学院农业信息研究所副所长赵瑞雪介绍,农知育芯(BRIS,Breeding Research Intelligent Service)集成 8 项分析工具、3 项自研算法,汇聚 2011—2025 年育种相关核心期刊文献,整合 6800 万条 NCBI 基因索引、57 万条 UniProt 专家校验蛋白信息;自主构建的育种知识图谱包含 7.9 万余个知识实体、12.6 万余条实体关系,覆盖水稻、玉米、小麦和拟南芥四类作物。","10月14日至16日，中国农学会图书情报分会2026年学术年会在河南洛阳举办。会议由中国农学会图书情报分会主办，中国农业科学院[农业信息研究所](http:\u002F\u002Faii.caas.cn\u002F)、河南省农业科学院农业信息技术研究所、洛阳市农林科学院联合承办。中国农业科学院[农业信息研究所](http:\u002F\u002Faii.caas.cn\u002F)副所长赵瑞雪在会上介绍农知育芯（BRIS，Breeding Research Intelligent Service）阶段性研究成果。农知育芯融合育种文献、权威数据库、知识图谱和分析算法，集成8项分析工具、3项自研算法，为研究人员提供知识获取、任务规划、证据推理全链条智能科研服务。\n\n智能育种是AI+农业的重要场景。随着高通量测序技术快速发展，育种科研数据快速增长，基因、性状和调控通路等知识分散于海量文献和数据库，候选基因筛选、功能解析和多组学研究面临知识检索繁琐、数据分析复杂、验证周期长和试错成本高等挑战。而通用大模型也难以充分满足专业知识、结果依据和溯源能力等科研要求。\n\n面向这一需求，农知育芯打通问答与计算、分析与决策、知识与工具三类能力。科研人员可通过自然语言提出问题或发起任务，系统自动调度工具与算法，汇聚文献、数据库、知识图谱及用户数据，形成分析结果与科研建议。在关键候选基因发现等任务中，平台可辅助科研人员将筛选过程由“大海捞针”转向“精准发现”，堪称智能育种的“科研副脑”。\n\n该平台以高质量知识图谱引导推理，结合分析工具计算、模型研判和知识增强开展协同验证，并对文献、数据库、工具和参数进行全链路核查，形成“问题—数据—结论”的科研闭环。\n\n据悉，农知育芯已汇聚2011年至2025年育种相关核心期刊文献，整合6800万条NCBI基因索引、57万条UniProt专家校验蛋白信息；自主构建的育种知识图谱包含7.9万余个知识实体、12.6万余条实体关系，覆盖水稻、玉米、小麦和拟南芥四类作物，形成文献、权威数据库和知识图谱互为校验的证据网络。\n\n该平台自主研发差异表达分析、GWAS、QTL定位、WGCNA共表达网络等8项经典生物信息与统计遗传分析工具，并构建多效基因挖掘、基因功能预测、通路与网络挖掘3项自研育种算法。\n\n依托上述知识资源、分析工具和算法能力，农知育芯面向育种科研人员提供智能问答和六大科研场景分析工具，涵盖关键候选基因发现、候选基因功能解析、分子机制与调控通路、基因型—表型—转录组联合研判、种质群体遗传解析和分析结果综合研判。\n\n该平台能提供快速问答、结构化分析和深度研究三类任务模式，可适配知识查询、多组学数据分析和综合育种前景评估等不同需求。系统可自动完成数据分析，汇聚多源文献证据，一键导出标准化PDF科研报告，并提供候选基因优先级排序和后续实验建议，支持PC端科研分析和移动端田间使用，服务育种科研人员和相关专业学生。","中国农业科学院 2026-10-14~16","2026-10-14T00:00:00Z",85,{"impact":457,"substance":458,"depth":18,"authority":19,"freshness":21,"relevant":22,"comment":459},24,22,"国家级科研机构发布的智能育种平台，知识资源与分析工具细节扎实，属AI+农业重要进展，值得精选。",[461],{"name":453,"url":450},[463,104,464,465,466],"农业人工智能","智能育种","知识图谱","科研平台",{"code":34,"slug":35,"name":36,"path":37,"parent_code":8},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":470},{"candidates":471,"agricultural_evidence":48,"reason":77},[472,476,480,484,489,493],{"code":198,"score":54,"supported":48,"title":473,"abstract":474,"tags":475},[],[266],[],{"code":114,"score":54,"supported":48,"title":477,"abstract":478,"tags":479},[],[117],[],{"code":120,"score":54,"supported":48,"title":481,"abstract":482,"tags":483},[],[123],[],{"code":485,"score":211,"supported":14,"title":486,"abstract":487,"tags":488},"I2",[],[],[463,465],{"code":155,"score":22,"supported":14,"title":490,"abstract":491,"tags":492},[],[],[104],{"code":494,"score":22,"supported":14,"title":495,"abstract":496,"tags":497},"F2",[],[],[464],[499,500],"农知育芯 BRIS 智能育种","中国农科院 农业信息研究所 育种平台","农知育芯BRIS智能育种-5335","2026-10-20T02:47:43.320559Z"]