[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-409":3,"related-409":83},{"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":32,"secondary_topics":37,"classification":38,"search_phrases":77,"slug":80,"view_count":81,"doi":8,"paper":8,"created_at":82},409,"揭榜挂帅!河南省攻坚主粮镰刀菌病害——殷贵鸿团队联合4单位组建创新联合体","https:\u002F\u002F5g.dahe.cn\u002Fnews\u002F202608102118624","8月8日,2026年度第一批河南省重大产业关键技术攻关'揭榜挂帅'项目——'小麦-玉米周年两熟重大镰刀菌病害成灾机理及全程绿色防控关键技术研发与集成示范'项目启动会在河南农业大学龙子湖校区举行。由镰刀菌侵染引起的小麦赤霉病、茎基腐病及玉米穗腐病每年全国发生面积约2.9亿亩,约占病虫害发生总面积的1\u002F4。项目由河南农业大学殷贵鸿研究员领衔揭榜,集聚河南农业大学、河南省农业科学院、河南科技学院、河南省植物保护植物检疫站等4家单位科研力量,联动5家种业、新型肥料、绿色防控领域龙头企业,组建跨学科跨单位创新联合体。",null,"本报讯（全媒体记者 谭勇）8月8日，2026年度第一批河南省重大产业关键技术攻关“揭榜挂帅”项目——“小麦-玉米周年两熟重大镰刀菌病害成灾机理及全程绿色防控关键技术研发与集成示范”项目启动会在河南农业大学龙子湖校区举行。\n\n小麦和玉米是我国重要的粮食作物，而由镰刀菌侵染引起的小麦赤霉病、茎基腐病及玉米穗腐病是主要病害，此类病害每年全国发生面积约2.9亿亩，约占病虫害发生总面积的1\u002F4。由于全球气候变化、连续多年秸秆还田等，由镰刀菌引起的上述病害逐年加重，造成显著产量损失，严重影响了农户的收益。更为严重的是，其病原菌产生的呕吐毒素（DON）、伏马菌素（FB）等真菌毒素对籽粒品质影响巨大，甚至导致无法食用和饲用，对人畜安全造成严重威胁。\n\n河南作为全国粮食生产核心区，是全球最大的小麦-玉米周年两熟种植区，常年小麦种植面积8500多万亩、产量约占全国的1\u002F4，玉米种植面积5800万亩、产量约占全国的7%。近年来受全球气候变化影响，小麦赤霉病、茎基腐病及玉米穗腐病等镰刀菌病害在我省呈逐年加重态势，严重威胁粮食安全。\n\n本次“揭榜挂帅”项目正是针对我省小麦-玉米主粮产业核心痛点，将攻克镰刀菌病害防控难题作为守住粮食安全底线、保障农产品质量安全的重要政治任务和迫切民生工程。该项目由河南农业大学殷贵鸿研究员领衔揭榜，集聚河南农业大学、河南省农业科学院、河南科技学院、河南省植物保护植物检疫站等4家单位的科研力量，联动5家种业、新型肥料、绿色防控领域的行业龙头企业，组建跨学科、跨单位创新联合体。\n\n“项目将围绕镰刀菌病害成灾机理、智能监测预警、抗病新品种培育、绿色防控技术研发及集成示范推广等核心领域开展全链条、系统化技术攻关，着力构建适配我省小麦-玉米周年两熟种植模式的绿色高效防控技术体系。”殷贵鸿表示，通过育种、植保、栽培学科融合，政府、高校科研院所、企业平台结合，科研人员、推广人员、种粮大户密切配合，把论文写在大地上、成果送进千万家。\n\n作为我省农业领域本年度重点推进的“揭榜挂帅”专项，该项目对提升我省粮食生产核心竞争力、推动农业绿色转型、筑牢国家粮食安全屏障，具有十分重大的现实意义和战略意义。","大河网-河南日报 2026-08-10","2026-08-10T10:00:00Z","报道",10,false,80,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},24,20,16,11,9,1,"省级重大农业科技攻关项目启动，聚焦镰刀菌病害防控，涉及粮食安全，信息具体，来源权威，时效性好。",[25],{"name":10,"url":6},[27,28,29,30,31],"揭榜挂帅","镰刀菌","河南省农科院","河南农大","殷贵鸿",{"code":33,"slug":34,"name":35,"path":36,"parent_code":8},"A","field-crops","大田作物","\u002Ftopic\u002Ffield-crops",[],{"status":39,"locked":14,"version":40,"method":41,"evidence":42},"partial","2026-10-22.2","rules",{"candidates":43,"agricultural_evidence":47,"reason":76},[44,52,58,64,70],{"code":45,"score":46,"supported":47,"title":48,"abstract":49,"tags":51},"A2",3,true,[],[50],"小麦",[],{"code":53,"score":46,"supported":47,"title":54,"abstract":55,"tags":57},"A3",[],[56],"玉米",[],{"code":59,"score":46,"supported":47,"title":60,"abstract":61,"tags":63},"F1",[],[62],"种业",[],{"code":65,"score":46,"supported":47,"title":66,"abstract":67,"tags":69},"F3",[],[68],"肥料",[],{"code":71,"score":46,"supported":47,"title":72,"abstract":73,"tags":75},"F4",[],[74],"绿色防控",[],"一级领域明确，二级方向需要细分",[78,79],"河南省农科院 揭榜挂帅 河南农大 殷贵鸿","河南省农科院 揭榜挂帅","河南省农科院揭榜挂帅河南农大殷贵鸿-409",5,"2026-08-11T23:57:01.847666Z",{"total":84,"page":22,"page_size":84,"items":85},6,[86,131,170,209,321,369],{"id":87,"title":88,"url":89,"summary":90,"summary_zh":8,"content":91,"source_name":92,"source_url":8,"published_at":93,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":15,"score_detail":94,"sources":97,"tags":99,"primary_topic":101,"secondary_topics":102,"classification":103,"search_phrases":126,"slug":129,"view_count":46,"doi":8,"paper":8,"created_at":130},367,"揭榜挂帅!河南攻坚小麦-玉米周年镰刀菌病害——4家科研单位+5家龙头企业组建创新联合体","http:\u002F\u002Fwww.ha.news.cn\u002F20260810\u002F45ee8571807a420da2a09bf9ffd29fe0\u002Fc.html","8月8日,2026年度第一批河南省重大产业关键技术攻关'揭榜挂帅'项目——'小麦-玉米周年两熟重大镰刀菌病害成灾机制及全程绿色防控关键技术研发与集成示范'项目启动会在河南农业大学龙子湖校区举行。小麦赤霉病、茎基腐病及玉米穗腐病每年全国发生面积约2.9亿亩,约占病虫害发生总面积的1\u002F4。项目由河南农业大学殷贵鸿研究员领衔揭榜,集聚河南农业大学、河南省农业科学院、河南科技学院、河南省植物保护植物检疫站等4家单位科研力量,联动5家种业、新型肥料、绿色防控领域龙头企业。","8月8日，2026年度第一批河南省重大产业关键技术攻关“揭榜挂帅”项目——“小麦-玉米周年两熟重大镰刀菌病害成灾机理及全程绿色防控关键技术研发与集成示范”项目启动会在河南农业大学龙子湖校区举行。\n\n小麦和玉米是我国重要的粮食作物，而由镰刀菌侵染引起的小麦赤霉病、茎基腐病及玉米穗腐病是主要病害，此类病害每年全国发生面积约2.9亿亩，约占病虫害发生总面积的1\u002F4。由于全球气候变化、连续多年秸秆还田等，由镰刀菌引起的上述病害逐年加重，造成显著产量损失，严重影响了农户的收益。更为严重的是，其病原菌产生的呕吐毒素（DON）、伏马菌素（FB）等真菌毒素对籽粒品质影响巨大，甚至导致无法食用和饲用，对人畜安全造成严重威胁。\n\n河南作为全国粮食生产核心区，是全球最大的小麦-玉米周年两熟种植区，常年小麦种植面积8500多万亩、产量约占全国的1\u002F4，玉米种植面积5800万亩、产量约占全国的7%。近年来受全球气候变化影响，小麦赤霉病、茎基腐病及玉米穗腐病等镰刀菌病害在我省呈逐年加重态势，严重威胁粮食安全。\n\n本次“揭榜挂帅”项目正是针对我省小麦-玉米主粮产业核心痛点，将攻克镰刀菌病害防控难题作为守住粮食安全底线、保障农产品质量安全的重要政治任务和迫切民生工程。该项目由河南农业大学殷贵鸿研究员领衔揭榜，集聚河南农业大学、河南省农业科学院、河南科技学院、河南省植物保护植物检疫站等4家单位的科研力量，联动5家种业、新型肥料、绿色防控领域的行业龙头企业，组建跨学科、跨单位创新联合体。\n\n“项目将围绕镰刀菌病害成灾机理、智能监测预警、抗病新品种培育、绿色防控技术研发及集成示范推广等核心领域开展全链条、系统化技术攻关，着力构建适配我省小麦-玉米周年两熟种植模式的绿色高效防控技术体系。”殷贵鸿表示，通过育种、植保、栽培学科融合，政府、高校科研院所、企业平台结合，科研人员、推广人员、种粮大户密切配合，把论文写在大地上、成果送进千万家。\n\n作为我省农业领域本年度重点推进的“揭榜挂帅”专项，该项目对提升我省粮食生产核心竞争力、推动农业绿色转型、筑牢国家粮食安全屏障，具有十分重大的现实意义和战略意义。（全媒体记者 谭勇）","河南日报 2026-08-10","2026-08-10T00:00:00Z",{"impact":17,"substance":18,"depth":95,"authority":20,"freshness":13,"relevant":22,"comment":96},15,"省级重大揭榜挂帅项目启动，聚焦小麦玉米镰刀菌病害防控，涉及科研与产业联合，信息具体，时效性强。",[98],{"name":92,"url":89},[29,27,28,100],"小麦玉米",{"code":33,"slug":34,"name":35,"path":36,"parent_code":8},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":104},{"candidates":105,"agricultural_evidence":47,"reason":76},[106,110,114,118,122],{"code":45,"score":20,"supported":47,"title":107,"abstract":108,"tags":109},[50],[50],[],{"code":53,"score":20,"supported":47,"title":111,"abstract":112,"tags":113},[56],[56],[],{"code":59,"score":46,"supported":47,"title":115,"abstract":116,"tags":117},[],[62],[],{"code":65,"score":46,"supported":47,"title":119,"abstract":120,"tags":121},[],[68],[],{"code":71,"score":46,"supported":47,"title":123,"abstract":124,"tags":125},[],[74],[],[127,128],"河南省农科院 小麦玉米 揭榜挂帅 镰刀菌","河南省农科院 小麦玉米","河南省农科院小麦玉米揭榜挂帅镰刀菌-367","2026-08-10T23:54:42.827078Z",{"id":132,"title":133,"url":134,"summary":135,"summary_zh":8,"content":136,"source_name":137,"source_url":8,"published_at":138,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":139,"score_detail":140,"sources":145,"tags":147,"primary_topic":151,"secondary_topics":152,"classification":153,"search_phrases":164,"slug":167,"view_count":168,"doi":8,"paper":8,"created_at":169},1100,"\"站院联建、校地协同\"服务新型农业经营主体带农户提质增效交流会在汝州召开 同步启动全省\"小麦玉米周年绿色吨半粮\"创建工作","https:\u002F\u002Fk.sina.com.cn\u002Farticle_7517400647_1c0126e470590948ug.html","8月24日,河南省\"站院联建、校地协同\"服务新型农业经营主体带农户提质增效交流会在汝州召开,同步启动全省\"小麦玉米周年绿色吨半粮\"创建工作。淇县项目示范田实现小麦玉米周年亩产1820.8公斤,较普通农户种植模式增产超两成,同时实现节肥20%—30%、节水18%—33%。","*   [新浪首页](http:\u002F\u002Fwww.sina.com.cn\u002F)\n*   [新闻](http:\u002F\u002Fnews.sina.com.cn\u002F)\n*   [体育](http:\u002F\u002Fsports.sina.com.cn\u002F)\n*   [财经](http:\u002F\u002Ffinance.sina.com.cn\u002F)\n*   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张蓝今\n\n8月24日，河南省“站院联建、校地协同”服务新型农业经营主体带农户提质增效交流会在汝州召开，同步启动全省“小麦玉米周年绿色吨半粮”创建工作。此次交流会系统梳理了省农业农村厅牵头部署、创新实施的基层农技推广试点工作阶段性成果，汇聚农业农村部、全国农技推广中心、河南农业大学及全省各地农业农村部门、新型农业经营主体代表，共探农技赋能粮食稳产增产、农业提质增效的高质量发展路径。\n\n基层农技力量薄弱、科研成果落地不畅、产学研衔接脱节，是制约农业现代化发展、影响粮食产能提升的关键堵点。为破解科研与生产“两张皮”难题，打通农业科技进村入户“最后一公里”，省农业农村厅立足全省农业发展大局、主动改革创新，牵头启动基层农技推广体系改革试点，创新推行“站院联建、校地协同”工作模式。推动各地基层农技推广站与农业高校科技小院联手，整合政府、高校、新型农业经营主体多方力量，打通科技进村入户“最后一公里”，破解科研生产“两张皮”难题。\n\n经过两年多的试点实践探索，我省成功构建起“一站、一院、一团队、一基地、一产业、一机制”的“六个一”基层农技推广服务创新体系，打造出“需求对接—科研研发—技术推广—田间应用—效果反馈”的全链条闭环服务模式，形成了可复制、可推广、可落地的农技服务“河南样板”。目前，我省已在濮阳、鹤壁、新乡、许昌、平顶山等地布局建设近20个创新试点，常态化开展田间技术指导、高产示范观摩、农技专题培训等活动，年均开展各类服务300余场，覆盖基层农技人员、种植大户、普通农户超万人次，全方位激活基层农业科技服务动能。\n\n“站院联建、校地协同”农技推广模式创新试点项目，真正让农业科技从“纸上”走向“田间”，为粮食生产带来实打实的提质增效。数据显示，淇县项目示范田实现小麦玉米周年亩产1820.8公斤，较普通农户种植模式增产超两成，同时实现节肥20%—30%、节水18%—33%，走出了绿色高效、节本增收的现代农业发展路子。在今年汛期台风“白海豚”引发的涝情灾害中，该协同服务模式的优势充分彰显：依托校、站、地联动机制，基层农技站快速摸排全域灾情、摸清生产短板，高校专家第一时间下沉田间地头，精准制订减灾救灾、灾后复产技术方案，高效处置各类农业险情，全力守护秋粮生产安全。\n\n聚焦新型农业经营主体培育和农户增收赋能，全省试点工作持续细化服务举措、完善服务体系。通过组建种植大户专项服务团队，推动传统“经验种田”向数据化、标准化、科学化种田转型；依托粮王大赛、科技小院论坛等特色平台，搭建技术展示、经验交流、成果共享的专业载体；织密院地、校地协同服务网络，畅通科研单位、农技部门、经营主体沟通渠道，整合全省优质专家资源、示范基地资源，让广大农业经营主体和农户实实在在享受科技红利。同时，各地常态化开设田间课堂，分层分类培育本土“田秀才”“土专家”，将高校科研课题、青年实践阵地扎根田间地头，实现科研创新、人才培育、助农兴农一体推进。\n\n本次交流会上，业内专家围绕水肥一体化应用、站院联建实践创新等核心内容开展专题分享，农业农村部、全国农技推广中心相关负责人作专项业务培训，各地合作社代表结合亲身经历，分享了“站院联建、校地协同”试点改革带来的种植效益提升、生产方式转变等一线体验。会后，参会代表前往汝州、郏县科技小院示范基地开展实地观摩，直观感受我省农技推广模式创新成效。\n\n据了解，在省农业农村厅统筹指导下，我省将持续深化长效协作机制，织密校地协同网络，打通科技小院、科研单位、农业农村部门沟通渠道，重点推广水肥一体化、绿色防控、抗逆减灾等集成技术。锚定农业强省“四强两高”建设目标，持续释放农业科技创新动能，以科教力量赋能乡村全面振兴，为扛稳扛牢粮食安全重任贡献更多河南力量。\n\n特别声明：以上文章内容仅代表作者本人观点，不代表新浪网观点或立场。如有关于作品内容、版权或其它问题请于作品发表后的30日内与新浪网联系。\n\n[![Image 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代文娇**\n\n8月14日，2026年度河南省第一批重大产业关键技术攻关“揭榜挂帅”项目“小麦玉米极端天气灾害全程干预减损关键技术研发与集成示范”启动会在省农科院召开。河南省科学技术厅一级巡视员何守法，河南省农业科学院党委副书记、副院长王强，中国工程院院士许为钢出席会议并讲话。来自中国科学院、中国农业科学院、郑州大学、郑州轻工业大学的项目指导专家，河南工业大学副校长赵仁勇等项目组成员共30余人出席会议。\n\n小麦、玉米是河南省两大粮食作物，总产占全省粮食总产八成以上。近年来连阴雨、高温、低温等极端天气灾害频发，成为制约小麦玉米产业发展的突出痛点。本项目紧扣小麦玉米生产减灾防灾重大产业需求，设置人工干预天气减灾、多抗品种培育与减灾技术研发、泥泞防陷收割智能农机研制、粮食智能烘干减损技术与装备研发四个课题，构建小麦玉米极端天气灾害全程干预减损关键技术体系，推动小麦玉米生产实现从“被动防灾”向“科技抗灾”转变。\n\n王强在致辞中介绍了省农科院在小麦玉米领域的研究基础，育成的郑麦、郑单系列小麦玉米良种，为保障国家粮食安全作出重要贡献。小麦品种郑麦9023、郑麦1860先后成为我国第一大小麦品种;玉米品种郑单958曾连续18年种植面积位居全国玉米品种第一位。郑麦9023、郑单958先后斩获国家科技进步一等奖。他要求，要强化保障支持，确保项目高效推进;严守考核底线，高质量完成全部绩效指标;坚持统筹协同，搭建高效顺畅的跨学科攻关体系;各项目参加单位合力破解我省小麦玉米防灾减灾系列关键技术难题，为保障国家粮食安全贡献力量。\n\n何守法在讲话中指出，项目实施过程中，一要提高政治站位，强化使命担当，立足扛稳粮食安全重任、为河南争光的高度推进项目实施，思想上实现从完成“科研任务”到投身“科研事业”的转变。二要规范项目管理，严守质量关口，保障财政资金安全可控;坚守科研底线，恪守学术诚信，坚决抵制各类学术不端行为。三要紧扣产业需求，提升经费使用效益，围绕产业难题开展科研攻关，推动科研成果落地见效，助力农民增收。四要集聚各方智慧，共促创新发展，请参会省内外专家积极建言献策，共同探索产学研协同创新机制。\n\n启动会上，项目负责人、省农科院许为钢院士团队齐学礼研究员汇报项目实施方案。与会专家围绕项目技术路线、研究内容、考核指标、预期效益等开展深入研讨，建议进一步细化研究方案，着力凝练标志性成果，强化成果转化应用，高标准建设成果示范基地。专家组一致认为，该项目技术路线清晰，研究内容设置合理，研究基础扎实，预期目标明确。项目实施后，将形成一套小麦玉米极端天气灾害全程干预减损关键技术体系，以硬核科技护航中原粮仓丰产稳产。\n\n编辑：晏语悦\n\n中原经济网版权与免责声明：\n\n* 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\"省政协党组扩大会议和主席会议召开\")\n\n[关于我们](https:\u002F\u002Fwww.hnjjbs.com\u002Fhenan\u002F202406\u002F93529.html) - [媒体合作](https:\u002F\u002Fwww.hnjjbs.com\u002Fhenan\u002F202406\u002F93541.html) - [广告服务](https:\u002F\u002Fwww.hnjjbs.com\u002Fhenan\u002F202406\u002F93541.html) - [版权声明](https:\u002F\u002Fwww.hnjjbs.com\u002Fhenan\u002F202406\u002F93538.html) - [法律团队](https:\u002F\u002Fwww.hnjjbs.com\u002Fhenan\u002F202406\u002F93540.html) - [联系我们](https:\u002F\u002Fwww.hnjjbs.com\u002Fhenan\u002F202406\u002F93541.html) - [友情链接](https:\u002F\u002Fwww.hnjjbs.com\u002Fhenan\u002F202406\u002F93542.html)\n\nCopyright © 1987-2025 河南经济报社 河南经济网 版权所有 All Rights Reserved.中原第一权威经济门户 \n\n 联系邮箱:jingjibao@qq.com 报社办公室电话:0371-53306911\n\n 报纸广告热线：0371-53306913 53306918 报纸发行热线：0371-53306915\n\n 《河南经济报》国内统一刊号：CN41-0066 邮发代号：35-92 \n\n[豫ICP备2023003560号](https:\u002F\u002Fbeian.miit.gov.cn\u002F)\n\n技术支持: 河南经济报社网络部 法律顾问：北京市盈科（郑州）律师事务所 何拥军 谷亚娟 白杰","河南经济报 2026-08-14","2026-08-17T00:00:00Z",52,{"impact":95,"substance":141,"depth":142,"authority":142,"freshness":21,"relevant":22,"comment":180},"省级农科院启动极端天气抗灾减损项目，对农业防灾有实际意义，但内容为会议启动报道，信息增量一般。",[182],{"name":176,"url":173},[29,27,100,184],"极端天气",{"code":33,"slug":34,"name":35,"path":36,"parent_code":8},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":188},{"candidates":189,"agricultural_evidence":47,"reason":76},[190,194,198],{"code":45,"score":20,"supported":47,"title":191,"abstract":192,"tags":193},[50],[50],[],{"code":53,"score":20,"supported":47,"title":195,"abstract":196,"tags":197},[56],[56],[],{"code":199,"score":46,"supported":47,"title":200,"abstract":201,"tags":203},"F5",[],[202],"农机",[],[205,128],"河南省农科院 小麦玉米 揭榜挂帅 极端天气","河南省农科院小麦玉米揭榜挂帅极端天气-668",2,"2026-08-17T23:54:54.854947Z",{"id":210,"title":211,"url":212,"summary":213,"summary_zh":214,"content":8,"source_name":215,"source_url":212,"published_at":216,"category":217,"cover_url":8,"hotness":13,"is_selected":14,"score":218,"score_detail":219,"sources":223,"tags":225,"primary_topic":231,"secondary_topics":232,"classification":233,"search_phrases":271,"slug":274,"view_count":275,"doi":276,"paper":277,"created_at":320},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":19,"substance":220,"depth":95,"authority":221,"freshness":21,"relevant":22,"comment":222},18,13,"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。",[224],{"name":215,"url":212},[226,227,228,229,230],"有机肥","土壤肥力","养分管理","印度农业","水稻小麦轮作",{"code":33,"slug":34,"name":35,"path":36,"parent_code":8},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":234},{"candidates":235,"agricultural_evidence":47,"reason":76},[236,243,251,256,260,266],{"code":237,"score":95,"supported":47,"title":238,"abstract":240,"tags":242},"H2",[239],"soil",[241,239],"土壤",[227],{"code":244,"score":245,"supported":47,"title":246,"abstract":248,"tags":250},"A1",14,[247],"rice",[249,247],"水稻",[],{"code":45,"score":245,"supported":47,"title":252,"abstract":254,"tags":255},[253],"wheat",[50,253],[],{"code":65,"score":142,"supported":47,"title":257,"abstract":258,"tags":259},[],[68,228],[228,226],{"code":261,"score":46,"supported":47,"title":262,"abstract":263,"tags":265},"A7",[],[264],"轮作",[],{"code":267,"score":22,"supported":14,"title":268,"abstract":269,"tags":270},"J3",[],[],[229],[272,273],"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":276,"openalex_id":278,"authors":279,"venue":215,"cited_by_count":275,"oa_url":312,"card":313,"direction":317,"ingested_from":319},"W7223144837",[280,282,285,286,289,292,294,295,297,300,302,305,307,309],{"name":281,"orcid":8},"Raghwendra Singh",{"name":283,"orcid":284},"Ajay Kumar Singh","https:\u002F\u002Forcid.org\u002F0000-0002-8743-6477",{"name":283,"orcid":284},{"name":287,"orcid":288},"Preeti P. Yadav","https:\u002F\u002Forcid.org\u002F0000-0001-7843-9783",{"name":290,"orcid":291},"Seema Yadav","https:\u002F\u002Forcid.org\u002F0000-0002-9773-6641",{"name":293,"orcid":8},"Abhishek Singh",{"name":293,"orcid":8},{"name":296,"orcid":8},"Saurabh Raj Pandey",{"name":298,"orcid":299},"Vinod Kumar Singh","https:\u002F\u002Forcid.org\u002F0009-0004-2583-6565",{"name":301,"orcid":8},"Narendra Raghubanshi",{"name":303,"orcid":304},"Yash Pal Singh","https:\u002F\u002Forcid.org\u002F0000-0001-8345-9084",{"name":306,"orcid":8},"Mahesh Kumar",{"name":308,"orcid":8},"Shivangi Singh",{"name":310,"orcid":311},"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":314,"method":315,"finding":316,"direction":317,"opportunity":318},"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":322,"title":323,"url":324,"summary":325,"summary_zh":8,"content":326,"source_name":327,"source_url":8,"published_at":328,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":329,"score_detail":330,"sources":332,"tags":334,"primary_topic":339,"secondary_topics":340,"classification":341,"search_phrases":364,"slug":367,"view_count":275,"doi":8,"paper":8,"created_at":368},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":141,"substance":142,"depth":84,"authority":84,"freshness":21,"relevant":22,"comment":331},"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。",[333],{"name":327,"url":324},[249,335,336,337,338],"院地合作","秸秆利用","粮食单产提升","天长市",{"code":33,"slug":34,"name":35,"path":36,"parent_code":8},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":342},{"candidates":343,"agricultural_evidence":47,"reason":76},[344,348,354,359],{"code":244,"score":141,"supported":47,"title":345,"abstract":346,"tags":347},[249],[249],[249],{"code":349,"score":141,"supported":47,"title":350,"abstract":352,"tags":353},"A8",[351],"单产提升",[351],[337],{"code":355,"score":22,"supported":14,"title":356,"abstract":357,"tags":358},"G1",[],[],[335],{"code":360,"score":22,"supported":14,"title":361,"abstract":362,"tags":363},"H5",[],[],[336],[365,366],"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":370,"title":371,"url":372,"summary":373,"summary_zh":374,"content":8,"source_name":375,"source_url":372,"published_at":376,"category":217,"cover_url":8,"hotness":13,"is_selected":14,"score":377,"score_detail":378,"sources":381,"tags":383,"primary_topic":389,"secondary_topics":390,"classification":391,"search_phrases":413,"slug":416,"view_count":275,"doi":417,"paper":418,"created_at":431},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":141,"substance":379,"depth":220,"authority":84,"freshness":142,"relevant":22,"comment":380},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。",[382],{"name":375,"url":372},[384,385,386,387,388],"智慧农业","遥感","作物监测","产量估测","叶面积指数",{"code":33,"slug":34,"name":35,"path":36,"parent_code":8},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":392},{"candidates":393,"agricultural_evidence":47,"reason":76},[394,398,403,408],{"code":45,"score":84,"supported":47,"title":395,"abstract":396,"tags":397},[],[50,253],[],{"code":53,"score":84,"supported":47,"title":399,"abstract":400,"tags":402},[],[56,401],"corn",[],{"code":404,"score":46,"supported":14,"title":405,"abstract":406,"tags":407},"I3",[],[],[387,386,388,385],{"code":409,"score":22,"supported":14,"title":410,"abstract":411,"tags":412},"I1",[],[],[384],[414,415],"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":417,"openalex_id":419,"authors":420,"venue":375,"cited_by_count":275,"oa_url":372,"card":424,"direction":430,"ingested_from":319},"W7222967882",[421],{"name":422,"orcid":423},"Xiaolong Song","https:\u002F\u002Forcid.org\u002F0000-0002-2106-6629",{"tldr":425,"method":426,"finding":427,"direction":428,"opportunity":429},"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"]