[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-1846":3,"related-1846":63},{"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":31,"secondary_topics":36,"classification":37,"search_phrases":58,"slug":61,"view_count":22,"doi":8,"paper":8,"created_at":62},1846,"我国精准鉴定并发布一批玉米抗大斑病优异种质","https:\u002F\u002Fnync.xingtai.gov.cn\u002Fnews_show.aspx?id=8246","农业农村部自2021年启动玉米种质资源精准鉴定工作，已完成32571份国家种质库保存资源的基因型鉴定和14015份核心种质资源的表型鉴定，发掘可供育种利用的优异种质资源471份。近日全国农作物种质资源信息平台精准鉴定好种质专栏共享发布新兴村玉米4、西陈玉米、六十早、六十粘、小籽白等5份抗大斑病玉米优异种质。黑龙江省农业科学院、辽宁省农业科学院等已通过共享平台获取。",null,"玉米大斑病是由凸脐蠕孢菌引起的一种严重世界性叶枯型病害，国内各玉米产区均有发生，以东北、华北北部、西北及南方山区发病较重。玉米大斑病主要表现为叶片上出现长梭形病斑、数量不等，严重时病斑相连造成整株叶片枯死，病害造成的产量损失通常可达15%~20%，严重发生时可减产50%以上。\n\n为拓宽我国玉米育种遗传基础，加快优异突破性种质资源挖掘创制，农业农村部自2021年启动玉米种质资源精准鉴定工作，利用具有自主知识产权的56K基因型芯片检测技术，已完成32571份国家种质库保存资源的基因型鉴定，同时在东华北、黄淮海、西南、西北玉米主产区科学布设表型鉴定网络，完成了14015份核心种质资源的产量、抗病、抗逆和品质等相关性状的表型鉴定。综合基因型和表型鉴定分析结果，发掘出可供育种利用的优异种质资源471份。\n\n近日，全国农作物种质资源信息平台“精准鉴定好种质”专栏共享发布了“新兴村玉米4”“西陈玉米”“六十早”“六十粘”“小籽白”等5份抗大斑病玉米优异种质，这对于拓宽玉米抗大斑病育种遗传基础、加快选育优异品种具有重要应用价值。目前，黑龙江省农业科学院、辽宁省农业科学院等科研单位和企业已通过该共享平台获取了上述优异种质资源，用于开展抗病玉米新品种选育工作。","河北省邢台市农业农村局 2026-09-03","2026-09-03T00:00:00Z","政策",10,false,81,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},25,22,17,12,5,1,"全国性种质资源精准鉴定成果发布，具有重要育种应用价值。",[25],{"name":10,"url":6},[27,28,29,30],"种业振兴","玉米","种质资源","抗病育种",{"code":32,"slug":33,"name":28,"path":34,"parent_code":35},"A3","maize","\u002Ftopic\u002Ffield-crops\u002Fmaize","A",[],{"status":38,"locked":14,"version":39,"method":40,"evidence":41},"classified","2026-10-22.2","rules",{"candidates":42,"agricultural_evidence":44},[43,48,53],{"code":32,"score":20,"supported":44,"title":45,"abstract":46,"tags":47},true,[28],[28],[28],{"code":49,"score":21,"supported":44,"title":50,"abstract":51,"tags":52},"F1",[],[29],[27,29],{"code":54,"score":22,"supported":14,"title":55,"abstract":56,"tags":57},"F2",[],[],[30],[59,60],"抗病育种 种业振兴 种质资源 玉米","抗病育种 种业振兴","抗病育种种业振兴种质资源玉米-1846","2026-09-08T00:07:11.487027Z",{"total":64,"page":22,"page_size":64,"items":65},6,[66,113,159,240,286,389],{"id":67,"title":68,"url":69,"summary":70,"summary_zh":8,"content":71,"source_name":72,"source_url":8,"published_at":73,"category":74,"cover_url":8,"hotness":13,"is_selected":14,"score":75,"score_detail":76,"sources":82,"tags":84,"primary_topic":87,"secondary_topics":88,"classification":94,"search_phrases":107,"slug":110,"view_count":111,"doi":8,"paper":8,"created_at":112},2839,"甘肃农科院承办玉米抗旱优异创新种质共享交流田间开放日:1717份种质抗旱鉴定","https:\u002F\u002Fwww.gsagr.cn\u002Finfo\u002F1087\u002F8306.htm","9月11日,由中国农业科学院作物科学研究所主办、甘肃省农业科学院作物研究所承办的\"玉米种质资源改良计划抗旱优异创新种质共享交流田间开放日\"活动在甘肃农科院张掖玉米育种基地举行。来自全国玉米育种科研单位及种业企业的专家代表等60余人参加。作物研究所副所长周玉乾详细介绍了本年度1717份参试玉米种质的抗旱鉴定工作,并重点推介了筛选出的抗旱性突出、综合农艺性状优良的优异种质。","+\n\n搜索\n\n[![Image 1](https:\u002F\u002Fwww.gsagr.cn\u002Fimages\u002Flogo.png)](https:\u002F\u002Fwww.gsagr.cn\u002Findex.htm)\n\n[![Image 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[科研进展](https:\u002F\u002Fwww.gsagr.cn\u002Fxwzx\u002Fkyjz.htm)\n*   [媒体聚焦](https:\u002F\u002Fwww.gsagr.cn\u002Fxwzx\u002Fmtjj.htm)\n*   [合作交流](https:\u002F\u002Fwww.gsagr.cn\u002Fxwzx\u002Fhzjl.htm)\n*   [通知公告](https:\u002F\u002Fwww.gsagr.cn\u002Fxwzx\u002Ftzgg.htm)\n\n### 工作动态\n\n当前您的位置：[首页](https:\u002F\u002Fwww.gsagr.cn\u002Findex.htm)>[新闻中心](https:\u002F\u002Fwww.gsagr.cn\u002Fxwzx.htm)>[工作动态](https:\u002F\u002Fwww.gsagr.cn\u002Fxwzx\u002Fgzdt.htm)>[正文](javascript:;)\n\n### 抗旱种质共享 赋能玉米育种——玉米抗旱优异创新种质共享交流田间开放日活动在张掖举办\n\n时间：2026年09月16日 10:53 来源：作物研究所 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5%9B%BD%E5%86%9C%E4%B8%9A%E7%A7%91%E5%AD%A6%E9%99%A2%E4%BD%9C%E7%89%A9%E7%A7%91%E5%AD%A6%E7%A0%94%E7%A9%B6%E6%89%80%E4%B8%BB%E5%8A%9E%E3%80%81%E7%94%98%E8%82%83%E7%9C%81%E5%86%9C%E4%B8%9A%E7%A7%91%E5%AD%A6%E9%99%A2%E4%BD%9C%E7%89%A9%E7%A0%94%E7%A9%B6%E6%89%80%E6%89%BF%E5%8A%9E%E7%9A%84%E2%80%9C%E7%8E%89%E7%B1%B3%E7%A7%8D%E8%B4%A8%E8%B5%84%E6%BA%90%E6%94%B9%E8%89%AF%E8%AE%A1%E5%88%92%E6%8A%97%E6%97%B1%E4%BC%98%E5%BC%82%E5%88%9B%E6%96%B0%E7%A7%8D%E8%B4%A8%E5%85%B1%E4%BA%AB%E4%BA%A4%E6%B5%81%E7%94%B0%E9%97%B4%E5%BC%80%E6%94%BE%E6%97%A5%E2%80%9D%E6%B4%BB%E5%8A%A8%E5%9C%A8%E6%88%91%E9%99%A2%E5%BC%A0%E6%8E%96%E7%8E%89%E7%B1%B3%E8%82%B2%E7%A7%8D%E5%9F%BA%E5%9C%B0%E4%B8%BE%E8%A1%8C%E3%80%82%E9%99%A2%E5%85%9A%E5%A7%94%E5%A7%94%E5%91%98%E3%80%81%E5%89%AF%E9%99%A2%E9%95%BF%E8%83%A1%E6%96%B0%E5%85%83%EF%BC%8C%E4%B8%AD%E5%9B%BD%E5%86%9C%E4%B8%9A%E7%A7%91%E5%AD%A6%E9%99%A2%E4%BD%9C%E7%89%A9%E7%A7%8D%E8%B4%A8%E8%B5%84%E6%BA%90%E4%B8%AD%E5%BF%83%E5%89%AF%E4%B8%BB%E4%BB%BB%E3%80%81%E7%8E%89%E7%B1%B3%E7%A7%8D%E8%B4%A8%E6%94%B9%E8%89%AF%E8%AE%A1%E5%88%92%E9%A6%96%E5%B8%AD%E6%9D%8E%E6%98%A5%E8%BE%89%E5%87%BA%E5%B8%AD%E6%B4%BB%E5%8A%A8%EF%BC%8C%E6%9D%A5%E8%87%AA%E5%85%A8%E5%9B%BD%E7%8E%89%E7%B1%B3%E8%82%B2%E7%A7%8D%E7%A7%91%E7%A0%94%E5%8D%95%E4%BD%8D%E5%8F%8A%E7%A7%8D%E4%B8%9A%E4%BC%81%E4%B8%9A%E7%9A%84%E4%B8%93%E5%AE%B6%E4%BB%A3%E8%A1%A8%E7%AD%8960%E4%BD%99%E4%BA%BA%E5%8F%82%E5%8A%A0%E3%80%82%E8%83%A1%E6%96%B0%E5%85%83%E5%9C%A8%E8%87%B4%E8%BE%9E%E4%B8%AD%E8%A1%A8%E7%A4%BA%EF%BC%8C%E8%87%AA2024%E5%B9%B4%E5%86%9C%E4%B8%9A%E5%86%9C%E6%9D%91%E9%83%A8%E5%90%AF%E5%8A%A8%E7%8E%89%E7%B1%B3%E7%A7%8D%E8%B4%A8%E8%B5%84%E6%BA%90%E6%94%B9%E8%89%AF%E8%AE%A1%E5%88%92%E4%BB%A5%E6%9D%A5%EF%BC%8C%E7%9C%81%E5%86%9C...&summary=9%E6%9C%8811%E6%97%A5%EF%BC%8C%E7%94%B1%E4%B8%AD%E5%9B%BD%E5%86%9C%E4%B8%9A%E7%A7%91%E5%AD%A6%E9%99%A2%E4%BD%9C%E7%89%A9%E7%A7%91%E5%AD%A6%E7%A0%94%E7%A9%B6%E6%89%80%E4%B8%BB%E5%8A%9E%E3%80%81%E7%94%98%E8%82%83%E7%9C%81%E5%86%9C%E4%B8%9A%E7%A7%91%E5%AD%A6%E9%99%A2%E4%BD%9C%E7%89%A9%E7%A0%94%E7%A9%B6%E6%89%80%E6%89%BF%E5%8A%9E%E7%9A%84%E2%80%9C%E7%8E%89%E7%B1%B3%E7%A7%8D%E8%B4%A8%E8%B5%84%E6%BA%90%E6%94%B9%E8%89%AF%E8%AE%A1%E5%88%92%E6%8A%97%E6%97%B1%E4%BC%98%E5%BC%82%E5%88%9B%E6%96%B0%E7%A7%8D%E8%B4%A8%E5%85%B1%E4%BA%AB%E4%BA%A4%E6%B5%81%E7%94%B0%E9%97%B4%E5%BC%80%E6%94%BE%E6%97%A5%E2%80%9D%E6%B4%BB%E5%8A%A8%E5%9C%A8%E6%88%91%E9%99%A2%E5%BC%A0%E6%8E%96%E7%8E%89%E7%B1%B3%E8%82%B2%E7%A7%8D%E5%9F%BA%E5%9C%B0%E4%B8%BE%E8%A1%8C%E3%80%82%E9%99%A2%E5%85%9A%E5%A7%94%E5%A7%94%E5%91%98%E3%80%81%E5%89%AF%E9%99%A2%E9%95%BF%E8%83%A1%E6%96%B0%E5%85%83%EF%BC%8C%E4%B8%AD%E5%9B%BD%E5%86%9C%E4%B8%9A%E7%A7%91%E5%AD%A6%E9%99%A2%E4%BD%9C%E7%89%A9%E7%A7%8D%E8%B4%A8%E8%B5%84%E6%BA%90%E4%B8%AD%E5%BF%83%E5%89%AF%E4%B8%BB%E4%BB%BB%E3%80%81%E7%8E%89%E7%B1%B3%E7%A7%8D%E8%B4%A8%E6%94%B9%E8%89%AF%E8%AE%A1%E5%88%92%E9%A6%96%E5%B8%AD%E6%9D%8E%E6%98%A5%E8%BE%89%E5%87%BA%E5%B8%AD%E6%B4%BB%E5%8A%A8%EF%BC%8C%E6%9D%A5%E8%87%AA%E5%85%A8%E5%9B%BD%E7%8E%89%E7%B1%B3%E8%82%B2%E7%A7%8D%E7%A7%91%E7%A0%94%E5%8D%95%E4%BD%8D%E5%8F%8A%E7%A7%8D%E4%B8%9A%E4%BC%81%E4%B8%9A%E7%9A%84%E4%B8%93%E5%AE%B6%E4%BB%A3%E8%A1%A8%E7%AD%8960%E4%BD%99%E4%BA%BA%E5%8F%82%E5%8A%A0%E3%80%82%E8%83%A1%E6%96%B0%E5%85%83%E5%9C%A8%E8%87%B4%E8%BE%9E%E4%B8%AD%E8%A1%A8%E7%A4%BA%EF%BC%8C%E8%87%AA2024%E5%B9%B4%E5%86%9C%E4%B8%9A%E5%86%9C%E6%9D%91%E9%83%A8%E5%90%AF%E5%8A%A8%E7%8E%89%E7%B1%B3%E7%A7%8D%E8%B4%A8%E8%B5%84%E6%BA%90%E6%94%B9%E8%89%AF%E8%AE%A1%E5%88%92%E4%BB%A5%E6%9D%A5%EF%BC%8C%E7%9C%81%E5%86%9C...&site=%E6%8A%97%E6%97%B1%E7%A7%8D%E8%B4%A8%E5%85%B1%E4%BA%AB%20%E8%B5%8B%E8%83%BD%E7%8E%89%E7%B1%B3%E8%82%B2%E7%A7%8D%E2%80%94%E2%80%94%E7%8E%89%E7%B1%B3%E6%8A%97%E6%97%B1%E4%BC%98%E5%BC%82%E5%88%9B%E6%96%B0%E7%A7%8D%E8%B4%A8%E5%85%B1%E4%BA%AB%E4%BA%A4%E6%B5%81%E7%94%B0%E9%97%B4%E5%BC%80%E6%94%BE%E6%97%A5%E6%B4%BB%E5%8A%A8%E5%9C%A8%E5%BC%A0%E6%8E%96%E4%B8%BE%E5%8A%9E-%E7%94%98%E8%82%83%E7%9C%81%E5%86%9C%E4%B8%9A%E7%A7%91%E5%AD%A6%E9%99%A2)\n\n9月11日，由中国农业科学院作物科学研究所主办、甘肃省农业科学院作物研究所承办的“玉米种质资源改良计划抗旱优异创新种质共享交流田间开放日”活动在我院张掖玉米育种基地举行。院党委委员、副院长胡新元，中国农业科学院作物种质资源中心副主任、玉米种质改良计划首席李春辉出席活动，来自全国玉米育种科研单位及种业企业的专家代表等60余人参加。\n\n胡新元在致辞中表示，自2024年农业农村部启动玉米种质资源改良计划以来，省农科院积极承担抗旱优异种质创制及鉴定任务。此次展示的抗旱新种质将为全国玉米抗旱育种提供新种源。他提出，应以本次活动为契机，推动种质创新成果共享利用，打通从种质创新到品种培育的“最后一公里”；各方要加强协作，力争形成一批有影响、有实效、可转化、能推广的标志性成果。\n\n李春辉介绍了玉米种质资源改良计划的背景及工作进展。作物研究所副所长周玉乾详细介绍了本年度1717份参试玉米种质的抗旱鉴定工作，并重点推介了筛选出的抗旱性突出、综合农艺性状优良的优异种质。与会专家深入试验田，近距离观察各类种质的田间表现，开展实地观摩与交流，现场填写抗旱优异创新种质共享登记表，并通过全国农作物种质资源信息平台完成网上申请，顺利实现了优异种质资源的现场共享对接。\n\n本次活动的举办为全国玉米抗旱育种领域搭建了高效的交流共享平台，对加快抗旱优异种质挖掘与利用、推动玉米育种协同创新具有重要意义。\n\n文：李永生 审核：王兴荣 总编辑：郭家玮\n\n  \n\n下一篇：[聚焦绿色农药创新 我院植保所科研人员在中国化工学会首届农药青年科学家交流会获优秀墙报奖](https:\u002F\u002Fwww.gsagr.cn\u002Finfo\u002F1087\u002F8308.htm)\n\n[网站首页](https:\u002F\u002Fwww.gsagr.cn\u002Findex.htm)|[本院概况](https:\u002F\u002Fwww.gsagr.cn\u002Fgyby\u002Fbyjj.htm)|[组织机构](https:\u002F\u002Fwww.gsagr.cn\u002Fjgsz.htm)|[管理服务](https:\u002F\u002Fwww.gsagr.cn\u002Fglfw.htm)|[科技企业](https:\u002F\u002Flx.gsagr.cn\u002F)|[联系我们](https:\u002F\u002Fwww.gsagr.cn\u002Flxwm.htm)\n\n[![Image 8](https:\u002F\u002Fwww.gsagr.cn\u002Fimages\u002Fvx.png) ![Image 9](https:\u002F\u002Fwww.gsagr.cn\u002Fimages\u002Fweixingongzhonghao.png)](javascript:;)[![Image 10](https:\u002F\u002Fwww.gsagr.cn\u002Fimages\u002Fdh.png) ![Image 11](https:\u002F\u002Fwww.gsagr.cn\u002Fimages\u002Fnongkerexian.png)](javascript:;)\n\n版权所有©甘肃省农业科学院 www.gsagr.cn 主办：甘肃省农业科学院[ICP备案号：陇ICP备15002874号](https:\u002F\u002Fbeian.miit.gov.cn\u002F)![Image 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[甘肃电视台](https:\u002F\u002Fwww.gstv.com.cn\u002F)","甘肃省农业科学院","2026-09-11T00:00:00Z","报道",70,{"impact":77,"substance":78,"depth":79,"authority":80,"freshness":21,"relevant":22,"comment":81},18,20,14,13,"省级科研机构组织的玉米抗旱种质田间鉴定开放日，1717份种质规模数据具体，属种业振兴细分领域实质进展，但为地方性活动、时效稍旧，适合主题聚合而非每日精选头条。",[83],{"name":72,"url":69},[27,28,29,85,86],"甘肃","抗旱育种",{"code":32,"slug":33,"name":28,"path":34,"parent_code":35},[89],{"code":49,"slug":90,"name":91,"path":92,"parent_code":93},"seed-industry","种业与品种管理","\u002Ftopic\u002Finputs-equipment\u002Fseed-industry","F",{"status":38,"locked":14,"version":39,"method":40,"evidence":95},{"candidates":96,"agricultural_evidence":44},[97,101],{"code":32,"score":20,"supported":44,"title":98,"abstract":99,"tags":100},[28],[28],[28],{"code":49,"score":102,"supported":44,"title":103,"abstract":104,"tags":106},8,[],[105,29],"种业",[27,29],[108,109],"抗旱育种 种业振兴 种质资源 玉米","抗旱育种 种业振兴","抗旱育种种业振兴种质资源玉米-2839",3,"2026-09-18T00:03:28.472486Z",{"id":114,"title":115,"url":116,"summary":117,"summary_zh":8,"content":8,"source_name":118,"source_url":8,"published_at":119,"category":74,"cover_url":8,"hotness":13,"is_selected":14,"score":75,"score_detail":120,"sources":122,"tags":124,"primary_topic":128,"secondary_topics":129,"classification":130,"search_phrases":153,"slug":156,"view_count":157,"doi":8,"paper":8,"created_at":158},5349,"河南优特计划玉米实收测产观摩会在武陟举行 实测亩产 883 公斤","https:\u002F\u002Fhnagri.org.cn\u002Fliangshi\u002Farticle-114223.html","10 月 15 日,河南优特计划玉米大面积单产提升关键技术集成与产业化应用粒收实测现场观摩及周年吨半粮工作推进会在焦作市武陟县举办。测产专家组随机选取地块,实收面积 2.075 亩,按籽粒含水量 14% 折算得出 883 公斤\u002F亩。优特计划优质秋粮专项自 2024 年立项以来,已在全省 15 个地市 31 个县区建立核心示范基地 43 个,核心示范基地面积达 8 万亩以上,带动辐射区达 800 万亩以上,玉米平均单产提高 10.8%。累计推广郑单 819、郑单 111 等 16 个玉米新品种和 8 个大豆新品种。","河南省农业科学院 2026-10-15","2026-10-15T00:00:00Z",{"impact":77,"substance":78,"depth":79,"authority":20,"freshness":64,"relevant":22,"comment":121},"省级玉米单产提升项目实测数据与推广规模具体，具行业参考价值，但属区域进展，时效稍逊。",[123],{"name":118,"url":116},[27,125,126,28,127],"单产提升","河南","优特计划",{"code":32,"slug":33,"name":28,"path":34,"parent_code":35},[],{"status":38,"locked":14,"version":39,"method":40,"evidence":131},{"candidates":132,"agricultural_evidence":44},[133,137,143,149],{"code":32,"score":20,"supported":44,"title":134,"abstract":135,"tags":136},[28],[28],[28],{"code":138,"score":139,"supported":44,"title":140,"abstract":141,"tags":142},"A8",4,[],[125],[125],{"code":144,"score":111,"supported":44,"title":145,"abstract":146,"tags":148},"A4",[],[147],"大豆",[],{"code":49,"score":22,"supported":14,"title":150,"abstract":151,"tags":152},[],[],[27],[154,155],"河南优特计划 玉米 测产","郑单819 郑单111 玉米品种","河南优特计划玉米测产-5349",0,"2026-10-20T02:47:44.412533Z",{"id":160,"title":161,"url":162,"summary":163,"summary_zh":164,"content":8,"source_name":165,"source_url":162,"published_at":166,"category":167,"cover_url":8,"hotness":13,"is_selected":14,"score":168,"score_detail":169,"sources":172,"tags":174,"primary_topic":178,"secondary_topics":179,"classification":186,"search_phrases":214,"slug":217,"view_count":111,"doi":218,"paper":219,"created_at":239},3989,"Different seeds, same pest? Exploring smallholder farmers’ lived experiences of fall armyworm impacts on hybrid and local maize in Kenya","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1925312","Fall Armyworm (FAW) is a persistent threat to maize-based food systems in sub-Saharan Africa, but less is known about how farmers experience its effects across seed types and household livelihoods. This exploratory qualitative study examined smallholder farmers’ lived experiences of FAW damage in hybrid and local maize in Siaya County, Kenya. Face-to-face semi-structured interviews lasting 30–45 min were conducted with 88 purposively selected farmers, and responses were analyzed thematically by two independent researchers. Farmers described FAW as recurrent and difficult to control; 43.2% reported infestation every season. Most participants (77.3%) perceived hybrid maize as more severely affected than local maize, whereas 9.1% perceived local maize as more affected and 9.1% reported similar effects. Participants associated infestation with reduced yields, impaired crop growth, lower-quality harvests, lost income, pesticide and labour costs, depleted maize stocks, food purchases, and stress related to financial and food uncertainty. Reported responses included pesticide use, repeated spraying, purchasing food, crop diversification, and reconsidering maize varieties. Because the study relied on farmers’ accounts rather than controlled varietal comparisons, the perceived differences cannot be attributed to seed characteristics independently of management and growing conditions. The findings indicate that farmers evaluate FAW damage through interconnected production, livelihood, food-security, and seed-choice concerns, supporting locally tested pest-management and seed advisory services.","草地贪夜蛾（Fall Armyworm, FAW）是撒哈拉以南非洲以玉米为基础的粮食系统面临的持续威胁，但人们对农民在不同种子类型和家庭生计条件下如何经历其影响知之甚少。本探索性定性研究考察了肯尼亚西亚亚县小农户在杂交玉米和本地玉米中遭受草地贪夜蛾危害的生活体验。研究对88名有意选取的农民进行了为期30至45分钟的面对面半结构化访谈，并由两名独立研究人员对回答进行主题分析。农民将草地贪夜蛾描述为反复发生且难以控制；43.2%报告每季均发生虫害。大多数参与者（77.3%）认为杂交玉米比本地玉米受害更严重，而9.1%认为本地玉米受害更严重，9.1%报告两者影响相似。参与者将虫害与产量下降、作物生长受损、收成品质量降低、收入损失、农药和劳动力成本、玉米库存耗尽、粮食购买以及与经济和粮食不确定性相关的压力联系起来。报告的应对措施包括使用农药、反复喷药、购买粮食、作物多样化以及重新考虑玉米品种。由于本研究依赖农民叙述而非受控品种比较，所感知的差异不能独立于管理和生长条件而归因于种子特征。研究结果表明，农民通过生产、生计、粮食安全和种子选择等相互关联的关注来评估草地贪夜蛾危害，这支持开展本地化测试的害虫管理和种子咨询服务。","Frontiers in Sustainable Food Systems","2026-10-02T00:00:00Z","论文",65,{"impact":102,"substance":77,"depth":170,"authority":80,"freshness":13,"relevant":22,"comment":171},16,"基于88户肯尼亚小农户访谈的质性研究，揭示草地贪夜蛾对杂交与本地玉米影响的农户感知差异，对非洲玉米病虫害防控与种子推广有参考价值，但属区域案例、公共影响有限。",[173],{"name":165,"url":162},[27,175,28,176,177],"粮食安全","小农户","病虫害防治",{"code":32,"slug":33,"name":28,"path":34,"parent_code":35},[180],{"code":181,"slug":182,"name":183,"path":184,"parent_code":185},"G2","farm-services","社会化服务与规模经营","\u002Ftopic\u002Frural-services\u002Ffarm-services","G",{"status":38,"locked":14,"version":39,"method":40,"evidence":187},{"candidates":188,"agricultural_evidence":44},[189,194,199,206,210],{"code":32,"score":190,"supported":44,"title":191,"abstract":192,"tags":193},15,[33],[28,33],[28],{"code":181,"score":190,"supported":44,"title":195,"abstract":197,"tags":198},[196],"smallholder",[176,196],[176],{"code":200,"score":64,"supported":44,"title":201,"abstract":202,"tags":205},"F4",[],[203,204],"农药","pesticide",[],{"code":138,"score":139,"supported":44,"title":207,"abstract":208,"tags":209},[],[175],[175],{"code":49,"score":22,"supported":14,"title":211,"abstract":212,"tags":213},[],[],[27],[215,216],"肯尼亚 草地贪夜蛾 玉米","杂交玉米 本地玉米 虫害","肯尼亚草地贪夜蛾玉米-3989","10.3389\u002Ffsufs.2026.1925312",{"doi":218,"openalex_id":220,"authors":221,"venue":165,"cited_by_count":157,"oa_url":162,"card":232,"direction":236,"ingested_from":238},"W7215042180",[222,225,227,229],{"name":223,"orcid":224},"George Ariya","https:\u002F\u002Forcid.org\u002F0000-0003-2286-9455",{"name":226,"orcid":8},"Beatrice Cheserek",{"name":228,"orcid":8},"Violet Kadenyeka Mugalavai",{"name":230,"orcid":231},"Lizzy A. Mwamburi","https:\u002F\u002Forcid.org\u002F0000-0002-8435-8194",{"tldr":233,"method":234,"finding":235,"direction":236,"opportunity":237},"通过访谈肯尼亚88位小农户，探究其对杂交与本地玉米受草地贪夜蛾影响的真实体验。","对88位农户进行半结构化访谈，采用主题分析法。","77.3%农户认为杂交玉米受害更重，虫害带来减产、收入损失与粮食不安全。","数字乡村与农业信息化","可结合农户感知数据与遥感虫害监测，构建面向小农户的本地化预警与品种推荐决策模型。","openalex","2026-10-02T23:30:09.411010Z",{"id":241,"title":242,"url":243,"summary":244,"summary_zh":8,"content":245,"source_name":246,"source_url":8,"published_at":247,"category":74,"cover_url":8,"hotness":13,"is_selected":44,"score":248,"score_detail":249,"sources":253,"tags":255,"primary_topic":258,"secondary_topics":259,"classification":260,"search_phrases":281,"slug":284,"view_count":268,"doi":8,"paper":8,"created_at":285},3696,"玉米密植高产精准调控技术再创纪录：新疆伊犁攻关田亩产1799.1公斤","https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7689863091659620883","中国农科院作科所李少昆团队玉米密植高产精准调控技术在新疆伊犁新源县喀拉布拉镇公安农场1288亩攻关田中刷新全国玉米高产纪录。抽选108.48亩连片地块机械实收亩产1799.1公斤，比现有全国百亩方高产纪录高200.7公斤。该技术十四五累计推广2.4亿亩，亩均增产226斤。","据中国农业科学院作物科学研究所，由该所李少昆研究员团队研发的“玉米密植高产精准调控技术”再创佳绩，应用该项技术的玉米攻关田再次刷新全国玉米高产纪录。该玉米攻关田位于新疆伊犁州新源县喀拉布拉镇公安农场，总面积1288亩，抽选其中108.48亩连片地块机械实收，亩产1799.1公斤，比现有全国百亩方高产纪录1598.4公斤高200.7公斤，较现有全国玉米最高单产纪录1663.25公斤高135.85公斤。\n\n此次测产由专家按照规范程序，经实地丈量田块面积、机械实收、称重、测定含水率、按标准含水率折算等流程，对伊犁州吨粮田建设地块开展实收测产，截至9月22日，多块玉米田接连交出高产答卷，新源县塔勒德镇加尔吾特克勒村实收110.28亩，亩产1723.01公斤；察布查尔县两个百亩田块实收亩产分别达到1650.2公斤和1645.4公斤，均超过原全国百亩方高产纪录。\n\n李少昆介绍，该攻关田采用团队研发的“玉米密植高产精准调控技术”，通过选用耐密抗倒品种、科学提高种植密度，配套滴灌水肥一体化，辅以化控防倒等技术集成，加之伊犁河谷光热充沛、昼夜温差大，玉米高产潜力得到充分释放。此次纪录刷新，关键在于从播种到收获各环节技术到位率大幅提升，特别是今年生长季高温频发，团队在“吨半粮”方案最优投入的基础上，精准优化水肥调控方案，因苗因墒加密灌水和施肥频次，缓解高温胁迫、保障高密度群体的产量形成，最终实现产量突破。\n\n据悉，作为全国粮食大面积单产提升行动主推技术，“玉米密植高产精准调控技术”在“十四五”期间累计推广2.4亿亩，覆盖18个省区，亩均增产226斤，累计增产粮食542.4亿斤，带动农民增收近300亿元。此次是该团队第八次创造全国玉米高产纪录，验证了密植高产技术体系的稳定性与可复制性，也为全国玉米大面积单产提升提供了成熟可落地的技术方案。\n\n![Image 1: 图片](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-axegupay5k\u002F7843c5e842f54c45a636dcf2f936bf55~tplv-tt-origin-web:gif.jpeg?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1791245372&x-signature=l%2BjrevWr%2FO7JJ8jACRKfmBnUpHQ%3D)\n编辑 | 农财君\n\n联系农财君请加微信：18565265490\n\n新时代 新种业\n\n南方农村报丨农财宝典","农财网种业宝典","2026-09-26T15:16:00Z",92,{"impact":250,"substance":251,"depth":77,"authority":79,"freshness":102,"relevant":22,"comment":252},28,24,"全国玉米高产纪录第八次刷新，数据详实、技术路径清晰，对大面积单产提升具有示范价值，值得进入每日精选。",[254],{"name":246,"url":243},[27,125,28,256,257],"水肥一体化","密植高产",{"code":32,"slug":33,"name":28,"path":34,"parent_code":35},[],{"status":38,"locked":14,"version":39,"method":40,"evidence":261},{"candidates":262,"agricultural_evidence":44},[263,267,272,276],{"code":32,"score":20,"supported":44,"title":264,"abstract":265,"tags":266},[28],[28],[28],{"code":138,"score":268,"supported":14,"title":269,"abstract":270,"tags":271},2,[],[],[125,257],{"code":49,"score":22,"supported":14,"title":273,"abstract":274,"tags":275},[],[],[27],{"code":277,"score":22,"supported":14,"title":278,"abstract":279,"tags":280},"F3",[],[],[256],[282,283],"玉米密植高产精准调控技术 伊犁","李少昆 玉米 高产纪录","玉米密植高产精准调控技术伊犁-3696","2026-09-29T00:08:19.035441Z",{"id":287,"title":288,"url":289,"summary":290,"summary_zh":291,"content":8,"source_name":292,"source_url":289,"published_at":293,"category":167,"cover_url":8,"hotness":13,"is_selected":14,"score":294,"score_detail":295,"sources":297,"tags":299,"primary_topic":303,"secondary_topics":304,"classification":305,"search_phrases":345,"slug":348,"view_count":21,"doi":349,"paper":350,"created_at":388},3199,"Recommendation of Suitable Planting Locations for Hybrid Maize Varieties Based on Graph Collaborative Filtering","https:\u002F\u002Fdoi.org\u002F10.1093\u002Finsilicoplants\u002Fdiag026","Abstract Enhancing the precision of crop variety adaptability evaluation is critical for maximizing yields and ensuring food security under climate change. Traditional methods relying on expert knowledge or process-based models face scalability challenges and difficulties in capturing complex variety–environment interactions. This study proposes a scalable graph-based collaborative filtering framework for assessing suitable planting locations for hybrid maize varieties, reformulating adaptability evaluation as a ranking task. The framework integrates two key innovations: a multi-layer perceptron (MLP) encoding module that leverages 15 variety trait features and 24 environmental variables to address the cold-start problem, enabling recommendations for previously unseen varieties; and a BPR+ loss function that distinguishes unsuitable environments from merely unplanted ones to accommodate the unique sparsity structure of agricultural trial data. Evaluated against six state-of-the-art graph-based recommendation models on a dataset of 189 locations and 1,102 hybrid maize varieties across China's major agro-ecological zones, our method consistently outperforms existing approaches, achieving approximately 5% improvement over the strongest baseline. The MLP module attains cold-start NDCG above 0.8, and BPR+ yields significant gains in Recall@1–4 and NDCG@1–5. A case study of the widely cultivated variety ZD958, validated against both national promotion data (2019–2024) and multi-year field-trial yields from 40 locations (2017–2024), confirms that the model's rank-ordered recommendations align closely with independent yield evidence: top-ranked locations achieve both the highest productivity and the greatest yield stability. This framework provides an AI-based decision support tool for variety placement optimization and climate-resilient agriculture.","摘要 提高作物品种适应性评价的精度，对于在气候变化背景下最大化产量和保障粮食安全至关重要。依赖专家知识或过程模型的传统方法面临可扩展性挑战，且难以捕捉复杂的品种–环境互作。本研究提出了一种可扩展的基于图协同过滤框架，用于评估杂交玉米品种的适宜种植地点，将适应性评价重新表述为排序任务。该框架融合了两项关键创新：一是多层感知机（MLP）编码模块，利用15个品种性状特征和24个环境变量来缓解冷启动问题，从而能够对未见过的品种进行推荐；二是BPR+损失函数，将不适宜环境与仅未种植环境区分开来，以适应农业试验数据特有的稀疏结构。在中国主要农业生态区189个地点和1，102个杂交玉米品种的数据集上，与六种最先进的基于图的推荐模型进行对比评估，我们的方法始终优于现有方法，相较最强基线提升约5%。MLP模块的冷启动NDCG达到0.8以上，BPR+在Recall@1–4和NDCG@1–5上均带来显著提升。对广泛种植品种ZD958的案例研究，结合国家推广数据（2019–2024年）和40个地点多年田间试验产量数据（2017–2024年）进行验证，证实模型的排序推荐与独立产量证据高度一致：排名靠前的地点既具有最高生产力，也具有最大产量稳定性。该框架为品种布局优化和气候韧性农业提供了基于人工智能的决策支持工具。","in silico Plants","2026-09-20T00:00:00Z",79,{"impact":77,"substance":18,"depth":77,"authority":80,"freshness":102,"relevant":22,"comment":296},"提出基于图协同过滤的杂交玉米品种适宜种植区推荐框架，覆盖全国189个地点、1102个品种，冷启动与排序指标均有提升，对品种布局优化有实用价值。",[298],{"name":292,"url":289},[300,301,27,28,302],"智慧农业","农业人工智能","品种布局",{"code":32,"slug":33,"name":28,"path":34,"parent_code":35},[],{"status":38,"locked":14,"version":39,"method":40,"evidence":306},{"candidates":307,"agricultural_evidence":44},[308,312,317,324,330,336,340],{"code":32,"score":190,"supported":44,"title":309,"abstract":310,"tags":311},[33],[28,33],[28],{"code":138,"score":64,"supported":44,"title":313,"abstract":314,"tags":316},[],[175,315],"food security",[],{"code":318,"score":64,"supported":44,"title":319,"abstract":320,"tags":323},"H7",[],[321,322],"气候变化","climate change",[],{"code":325,"score":139,"supported":44,"title":326,"abstract":327,"tags":329},"I2",[],[328],"decision support",[301],{"code":331,"score":111,"supported":44,"title":332,"abstract":333,"tags":335},"H6",[],[334],"农业生态",[],{"code":49,"score":22,"supported":14,"title":337,"abstract":338,"tags":339},[],[],[27],{"code":341,"score":22,"supported":14,"title":342,"abstract":343,"tags":344},"I1",[],[],[300],[346,347],"杂交玉米 品种 适宜种植区","图协同过滤 玉米 推荐","杂交玉米品种适宜种植区-3199","10.1093\u002Finsilicoplants\u002Fdiag026",{"doi":349,"openalex_id":351,"authors":352,"venue":292,"cited_by_count":157,"oa_url":289,"card":382,"direction":386,"ingested_from":238},"W7213886755",[353,356,359,362,364,367,370,373,376,379],{"name":354,"orcid":355},"Yanyun Han","https:\u002F\u002Forcid.org\u002F0000-0003-4333-8565",{"name":357,"orcid":358},"Zhongqiang Liu","https:\u002F\u002Forcid.org\u002F0009-0008-4290-8718",{"name":360,"orcid":361},"Aiwen Wang","https:\u002F\u002Forcid.org\u002F0000-0003-0031-5857",{"name":363,"orcid":8},"Yong Zhang",{"name":365,"orcid":366},"Shouhui Pan","https:\u002F\u002Forcid.org\u002F0000-0003-4917-9921",{"name":368,"orcid":369},"Xiangyu Zhao","https:\u002F\u002Forcid.org\u002F0000-0001-7668-1509",{"name":371,"orcid":372},"Qiusi Zhang","https:\u002F\u002Forcid.org\u002F0000-0001-5469-1802",{"name":374,"orcid":375},"Qi Zhang","https:\u002F\u002Forcid.org\u002F0009-0004-5061-5422",{"name":377,"orcid":378},"Xinglin Piao","https:\u002F\u002Forcid.org\u002F0000-0003-3774-5789",{"name":380,"orcid":381},"Kaiyi Wang","https:\u002F\u002Forcid.org\u002F0009-0000-5365-7178",{"tldr":383,"method":384,"finding":385,"direction":386,"opportunity":387},"提出图协同过滤框架，将玉米品种适种区评估转化为排序任务，推荐适宜种植地点。","图协同过滤+MLP编码15个品种性状与24个环境变量，BPR+损失，189地点1","方法优于六个基线约5%，冷启动NDCG超0.8，推荐排名与独立产量证据高度一致。","农业人工智能与决策模型","可拓展至多作物多品种跨区域迁移推荐，并融合气候情景预测未来适种区变化。","2026-09-22T23:30:49.262877Z",{"id":390,"title":391,"url":392,"summary":393,"summary_zh":8,"content":8,"source_name":394,"source_url":8,"published_at":395,"category":74,"cover_url":8,"hotness":13,"is_selected":44,"score":396,"score_detail":397,"sources":399,"tags":401,"primary_topic":405,"secondary_topics":409,"classification":411,"search_phrases":435,"slug":438,"view_count":22,"doi":8,"paper":8,"created_at":439},2897,"湖北活力中国调研行:稻功芯育种芯片+高蛋白玉米(13.2%)+全球首个稻米造血一类创新药","https:\u002F\u002Fwww.cinic.org.cn\u002Fxy\u002Fgdcj\u002F1653313.html","9月14日,2026活力中国调研行湖北主题采访活动情况介绍会召开。湖北首次发现水稻玉米增产关键基因并解析水稻耐高温机制,入选《科学》2025年度十大突破;国内首个水稻主效功能基因分子模块育种液相芯片稻功芯打破国外知识产权壁垒;水稻新品种E两优2300小面积超高产攻关田平均亩产超900公斤;全球首个稻米造血一类创新药获批上市,实现年产100万支注射液规模化量产;高蛋白玉米蛋白含量达13.2%,每提升1个百分点可减少进口大豆近800万吨。","中国产业经济信息网\u002F科技日报","2026-09-17T00:00:00Z",89,{"impact":250,"substance":251,"depth":77,"authority":80,"freshness":64,"relevant":22,"comment":398},"湖北多项种业与生物制造突破集中亮相，含全球首个稻米造血一类新药等硬核数据，产业级价值突出，值得进入每日精选。",[400],{"name":394,"url":392},[402,27,403,28,404],"水稻","生物育种","农业科技",{"code":406,"slug":407,"name":402,"path":408,"parent_code":35},"A1","rice","\u002Ftopic\u002Ffield-crops\u002Frice",[410],{"code":32,"slug":33,"name":28,"path":34,"parent_code":35},{"status":38,"locked":14,"version":39,"method":40,"evidence":412},{"candidates":413,"agricultural_evidence":44},[414,419,423,427,431],{"code":406,"score":190,"supported":44,"title":415,"abstract":417,"tags":418},[416],"稻米",[402,416],[402],{"code":32,"score":20,"supported":44,"title":420,"abstract":421,"tags":422},[28],[28],[28],{"code":144,"score":111,"supported":44,"title":424,"abstract":425,"tags":426},[],[147],[],{"code":49,"score":22,"supported":14,"title":428,"abstract":429,"tags":430},[],[],[27],{"code":54,"score":22,"supported":14,"title":432,"abstract":433,"tags":434},[],[],[403],[436,437],"湖北 稻功芯 育种芯片","高蛋白玉米 13.2%","湖北稻功芯育种芯片-2897","2026-09-19T00:06:07.538826Z"]