[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-670":3,"related-670":64},{"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":23,"tags":25,"primary_topic":30,"secondary_topics":35,"classification":36,"search_phrases":59,"slug":62,"view_count":20,"doi":8,"paper":8,"created_at":63},670,"湖北省农科院鄂玉多抗芯1号玉米育种芯片助力未玉115 玉米育种周期缩短一半","https:\u002F\u002Fm.hgdaily.com.cn\u002Fp\u002F503471.html","湖北省农科院最新研发的玉米育种芯片鄂玉多抗芯1号破解多年难题,让玉米既抗高温、干旱又耐涝渍,还将新品种选育周期缩短一半。粮作所研究员贾海涛团队主要立足长江中下游玉米面临涝渍胁迫问题,鉴定了348个关键抗非生物胁迫位点,基于此进行了芯片研发,大大节约育种选育时间和成本。鄂玉多抗芯1号已实现规模化、常态化推广应用,依托它培育的未玉115玉米新品种已于去年底通过审定。湖北还陆续研发出80K猪功能位点液相基因芯片、楚牛一号、稻功芯1号等近10款自主育种芯片。",null,"![Image 1](https:\u002F\u002Fimg.cjyun.org.cn\u002Fa\u002Fthumb\u002F10210\u002F202510\u002F74c07591d8d4b602e57857c1084d362d.png!w300_h300.png)\n\n登录\n\n[![Image 2: 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*   ##### [头条置顶(2条)](http:\u002F\u002Fm.hgdaily.com.cn\u002Fttzd(2t)668\u002Findex.html)\n\n*       *   ##### [24小时](http:\u002F\u002Fm.hgdaily.com.cn\u002F24xs\u002Findex.html)\n\n*       *   ##### [电视广播](http:\u002F\u002Fm.hgdaily.com.cn\u002Fguangbo\u002Findex.html)\n\n*       *   ##### [多彩旅游旅](http:\u002F\u002Fm.hgdaily.com.cn\u002Fdclyl\u002Findex.html)\n\n*       *   ##### [百镇千村运动会](http:\u002F\u002Fm.hgdaily.com.cn\u002Fbzqcydh\u002Findex.html)\n\n*       *   ##### [百镇千村运动会](http:\u002F\u002Fm.hgdaily.com.cn\u002Fbzqcydh678\u002Findex.html)\n\n*       *   ##### [听见](http:\u002F\u002Fm.hgdaily.com.cn\u002Ftingjian\u002Findex.html)\n\n*       *   ##### [audio](http:\u002F\u002Fm.hgdaily.com.cn\u002Faudio\u002Findex.html)\n\n### ![Image 3](blob:http:\u002F\u002Flocalhost\u002Fc39f63871383c1cf1d4e954b7e603953)登录长江云平台账号\n\n[忘记密码](https:\u002F\u002Fm.hgdaily.com.cn\u002Findex\u002Flogin\u002Fpassword)\n\n登录\n\n[还没账号？立即注册](https:\u002F\u002Fm.hgdaily.com.cn\u002Findex\u002Flogin\u002Fregist)\n\n# 争做高质量发展优等生 | 擦亮农业“芯” 荆楚种业跑出振兴加速度\n\n2026-08-17 09:59\n\n种业是农业的“芯片”，种源自主可控是筑牢粮食安全底线、赋能农业高质量发展的核心支撑。湖北始终牢记殷殷嘱托，全面落地种业振兴行动实施方案，全力打通种业创新、繁育、推广全链条，走出一条科技赋能、集群发展、特色鲜明的荆楚现代种业振兴之路。\n\n眼前的小盒子，就是湖北省农科院最新研发的玉米育种芯片——“鄂玉多抗芯1号”。它不仅破解了多年难题，让玉米既抗高温、干旱，又耐涝渍，还将新品种选育周期缩短了一半。\n\n湖北省农科院粮作所研究员 贾海涛：主要立足于长江中下游玉米面临涝渍胁迫问题，开展种质创新和新品种选育。我们鉴定了348个关键抗非生物胁迫位点，基于此我们进行了芯片的研发，可以大大节约育种的选育时间和成本。\n\n近年来，湖北针对传统大田育种周期长、效率低、成本高的痛点，聚焦“卡脖子”关键技术，创新育种工具。目前，“鄂玉多抗芯1号”已实现规模化、常态化推广应用，依托它培育的“未玉115”玉米新品种已于去年底通过审定。不止玉米领域，近两年湖北还在生猪、肉牛、水稻等育种领域实现新突破，陆续研发出“80K猪功能位点液相基因芯片”“楚牛一号”“稻功芯1号”等近10款自主育种芯片，构建起覆盖主要种养品类的种业科创体系。\n\n湖北省种子协会副会长 鲁礼伟：上游我们的优势是种质资源比较丰富，我们的育种人才梯队充足，院士团队、高校育种实验室集中在武汉。第二个就是我们中游，我们的良种繁育和种子加工具备区域性优势，拥有5个国家制种大县和多个省级基地，农资经销商网络完善，便于新品种市场推广。\n\n源头的创新红利，如何快速传导到生产端？湖北给出的答案是：以顶层设计引领产业集聚，以政策配套激活创新要素，推动种业从单点创新向集群发展、从分散布局向协同联动升级。在武汉东湖高新区的种业科创集聚高地，汇聚了900余家全国农业相关企业及顶尖科研团队，实现产业需求与科研创新精准对接、深度融合。\n\n武汉高农生物农业开发有限公司总经理 李贝：已经形成了上下楼就是上下游这样一种创新发展的局面，（比如）艾迪晶研发的基因编辑的种子可以抵抗除草剂，华中师范大学团队专门针对这种品种，推出配套式绿色农药，形成整个在农资服务、育种服务方面的组合拳。\n\n优质产业生态的形成，离不开精准的政策培育。省级层面，湖北出台了《湖北省种业振兴行动实施方案》，武汉市配套编制“中国种都”建设专项规划，出台专项扶持政策，常态化举办农博会、种业博览会、行业前沿沙龙，搭建企业家、科学家、金融机构、产业研究机构对接交流平台，大幅缩短转化周期。\n\n武汉高农生物农业开发有限公司总经理 李贝：专门出台了一系列的扶持政策，来吸引这些企业，从全国各个地方来入驻农创中心。\n\n湖北省种子协会副会长 鲁礼伟：重大品种的后补助支持，都是有针对性的，单个作物每个项目最高可以进行300万的补助。\n\n目前，全省超八成种业企业总部集聚武汉，已形成“核心研发扎根武汉、繁育生产布局全省、良种辐射全国”的立体化产业格局。全省已有国家级制种大县5个，国家级区域性良种繁育基地8个；全省骨干种企省内外制种总面积达到70万余亩，常年保有5000万公斤左右救灾备荒种子，储备实力稳居全国前五。\n\n（长江云新闻记者 张项青 林中杰）\n\n[点赞 3301](javascript:digg.set('503471', 'support');)\n\n[](https:\u002F\u002Fm.hgdaily.com.cn\u002Fp\u002F503471.html# \"分享到新浪微博\")[](https:\u002F\u002Fm.hgdaily.com.cn\u002Fp\u002F503471.html# \"分享到微信\")[](https:\u002F\u002Fm.hgdaily.com.cn\u002Fp\u002F503471.html# \"分享到QQ好友\")[](https:\u002F\u002Fm.hgdaily.com.cn\u002Fp\u002F503471.html# \"分享到QQ空间\")[](https:\u002F\u002Fm.hgdaily.com.cn\u002Fp\u002F503471.html#)\n\n# 相关阅读\n\n[* ![Image 4](https:\u002F\u002Fimg.cjyun.org\u002Fa\u002F10210\u002F202608\u002Fd7d8ac9966fecd07fbc874cfb7a50af2.jpeg)不争“最先一公里”，做好“最后一公里”](http:\u002F\u002Fm.hgdaily.com.cn\u002Fp\u002F503470.html)[* ![Image 5](https:\u002F\u002Fimg.cjyun.org.cn\u002Fa\u002F10210\u002F202608\u002Fcbb2159b881bf81e45ae8d43328cc2f3.jpeg)超级买家来到宜昌……](http:\u002F\u002Fm.hgdaily.com.cn\u002Fp\u002F503469.html)[* ![Image 6](https:\u002F\u002Fimg.cjyun.org\u002Fa\u002F10210\u002F202608\u002F1fd4f09dc0b6796921ad995ca50b1bea.png)法典护航美丽黄州 绿色生活全民同行](http:\u002F\u002Fm.hgdaily.com.cn\u002Fp\u002F503468.html)[* ![Image 7](https:\u002F\u002Fimg.cjyun.org\u002Fa\u002F10210\u002F202608\u002F5208835c7b238ef8fe48497ffa08096a.jpg)新长征路上|一座红军墓 世代红军情](http:\u002F\u002Fm.hgdaily.com.cn\u002Fp\u002F503467.html)[* ![Image 8](https:\u002F\u002Fimg.cjyun.org\u002Fa\u002F10210\u002F202608\u002F8f0d2aa90943b495ff926ea6f3023a63.jpg)以法典之治绘就大美黄冈 ——写在生态环境法典实施之际](http:\u002F\u002Fm.hgdaily.com.cn\u002Fp\u002F503466.html)\n\n[下载安装手机客户端](https:\u002F\u002Fres.cjyun.org\u002Ft\u002Fcommon\u002Fapp\u002FandroidApp\u002Fhuanggang-v1.1.9.apk)\n\n长江云共建单位\n\n https:\u002F\u002Fimg.cjyun.org\u002Fa\u002F10091\u002F202608\u002F61336038f5adb372ee66e7794b354386.png","湖北日报 2026-08-12","2026-08-17T00:00:00Z","报道",10,false,65,{"impact":17,"substance":18,"depth":19,"authority":13,"freshness":20,"relevant":21,"comment":22},20,18,12,5,1,"省级科研机构在玉米育种芯片上的突破，缩短育种周期，对农业科技有实质进展，但报道深度一般。",[24],{"name":10,"url":6},[26,27,28,29],"玉米","湖北省农科院","育种芯片","鄂玉多抗芯",{"code":31,"slug":32,"name":26,"path":33,"parent_code":34},"A3","maize","\u002Ftopic\u002Ffield-crops\u002Fmaize","A",[],{"status":37,"locked":14,"version":38,"method":39,"evidence":40},"classified","2026-10-22.2","rules",{"candidates":41,"agricultural_evidence":43},[42,47,54],{"code":31,"score":19,"supported":43,"title":44,"abstract":45,"tags":46},true,[26],[26],[26],{"code":48,"score":49,"supported":43,"title":50,"abstract":51,"tags":53},"H7",3,[],[52],"干旱",[],{"code":55,"score":21,"supported":14,"title":56,"abstract":57,"tags":58},"F2",[],[],[28],[60,61],"湖北省农科院 鄂玉多抗芯 育种芯片 玉米","湖北省农科院 鄂玉多抗芯","湖北省农科院鄂玉多抗芯育种芯片玉米-670","2026-08-17T23:54:54.909729Z",{"total":65,"page":21,"page_size":65,"items":66},6,[67,117,166,211,276,328],{"id":68,"title":69,"url":70,"summary":71,"summary_zh":8,"content":72,"source_name":73,"source_url":8,"published_at":74,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":75,"score_detail":76,"sources":82,"tags":84,"primary_topic":88,"secondary_topics":89,"classification":90,"search_phrases":112,"slug":115,"view_count":80,"doi":8,"paper":8,"created_at":116},239,"鄂玉多抗芯1号基因芯片研制成功——湖北省农科院破解玉米抗逆育种难题","https:\u002F\u002Fm.sohu.com\u002Fa\u002F1053242994_121106908","湖北省农业科学院玉米团队联合湖北洪山实验室、青岛极智生物科技有限公司,依托湖北本土优异种质资源,成功研制出鄂玉多抗芯1号基因芯片。团队以湖北本地强耐渍种质白马牙等优异地方资源为基础,对南方玉米产区600份核心自交系开展深度重测序,自主挖掘并验证与耐渍、耐高温、耐干旱、耐盐碱及籽粒高蛋白含量密切相关的348个核心功能位点,新发现且完成效应验证的位点占比超70%。鄂玉多抗芯1号将传统多年多点田间经验筛选升级为基因型层面精准筛查,可在玉米苗期完成基因型精准鉴定,一次性淘汰80%以上不携带多抗优势位点的劣质材料,使玉米新品种选育周期由传统6~8年缩短至3~4年,综合育种成本降低约60%。基于芯片筛选的高蛋白玉米未玉115籽粒蛋白质含量达13%,耐渍耐高温玉米KY898比对照品种郑单958增产9.03%。","种业是农业的“芯片”，抗逆育种则是玉米稳产增产的核心关键。近年来，干旱、高温热害、涝渍等非生物胁迫常年叠加发生，严重制约我国玉米生产；传统表型选择育种不仅周期漫长，也难以将多个抗逆性状有效聚合，成为行业共性瓶颈。长江云新闻记者从湖北省农业科学院获悉，该院玉米团队联合湖北洪山实验室、青岛极智生物科技有限公司，依托湖北本土优异种质资源，成功研制出“鄂玉多抗芯1号”基因芯片。","湖北日报 2026-08-04","2026-08-04T00:00:00Z",78,{"impact":77,"substance":17,"depth":78,"authority":79,"freshness":80,"relevant":21,"comment":81},22,16,11,9,"省级科研机构在玉米抗逆育种领域的实质性突破，具有行业意义，信息具体，信源权威，时效性好。",[83],{"name":73,"url":70},[27,85,86,87,28],"鄂玉多抗芯1号","基因芯片","玉米抗逆",{"code":31,"slug":32,"name":26,"path":33,"parent_code":34},[],{"status":37,"locked":14,"version":38,"method":39,"evidence":91},{"candidates":92,"agricultural_evidence":43},[93,97,103,107],{"code":31,"score":79,"supported":43,"title":94,"abstract":95,"tags":96},[26],[26],[],{"code":98,"score":49,"supported":43,"title":99,"abstract":100,"tags":102},"F1",[],[101],"种质资源",[],{"code":48,"score":49,"supported":43,"title":104,"abstract":105,"tags":106},[],[52],[],{"code":55,"score":108,"supported":14,"title":109,"abstract":110,"tags":111},2,[],[],[86,28],[113,114],"鄂玉多抗芯1号 湖北省农科院 基因芯片 玉米抗逆","鄂玉多抗芯1号 湖北省农科院","鄂玉多抗芯1号湖北省农科院基因芯片玉米抗逆-239","2026-08-05T23:53:01.317324Z",{"id":118,"title":119,"url":120,"summary":121,"summary_zh":8,"content":8,"source_name":122,"source_url":8,"published_at":123,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":124,"score_detail":125,"sources":128,"tags":130,"primary_topic":135,"secondary_topics":136,"classification":137,"search_phrases":160,"slug":163,"view_count":164,"doi":8,"paper":8,"created_at":165},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",70,{"impact":18,"substance":17,"depth":126,"authority":19,"freshness":65,"relevant":21,"comment":127},14,"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。",[129],{"name":122,"url":120},[131,132,133,26,134],"种业振兴","单产提升","河南","优特计划",{"code":31,"slug":32,"name":26,"path":33,"parent_code":34},[],{"status":37,"locked":14,"version":38,"method":39,"evidence":138},{"candidates":139,"agricultural_evidence":43},[140,144,150,156],{"code":31,"score":19,"supported":43,"title":141,"abstract":142,"tags":143},[26],[26],[26],{"code":145,"score":146,"supported":43,"title":147,"abstract":148,"tags":149},"A8",4,[],[132],[132],{"code":151,"score":49,"supported":43,"title":152,"abstract":153,"tags":155},"A4",[],[154],"大豆",[],{"code":98,"score":21,"supported":14,"title":157,"abstract":158,"tags":159},[],[],[131],[161,162],"河南优特计划 玉米 测产","郑单819 郑单111 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8.52g\u002Fkg以上，耕作季根区盐分降至4.3‰以下。搭配有机培肥、滴灌等农艺措施，改良地块可满足耐盐高粱、油葵等作物种植。鉴于此，团队后续将继续试验田菁与高粱、油葵、油菜、玉米、小麦等多类型作物轮作，为盐碱地生态治理与资源化利用提供可复制的技术模式。","中国日报网 河北省农林科学院滨海农业研究所 2026年10月12日","2026-10-12T00:00:00Z",75,{"impact":18,"substance":77,"depth":78,"authority":176,"freshness":65,"relevant":21,"comment":177},13,"省级科研机构盐碱地改良示范，含亩产484.1公斤等实测数据与技术体系细节，具行业参考价值。",[179],{"name":172,"url":169},[26,181,182,183,184],"土壤改良","盐碱地治理","暗管排盐","耐盐植物",{"code":31,"slug":32,"name":26,"path":33,"parent_code":34},[187],{"code":188,"slug":189,"name":190,"path":191,"parent_code":192},"H2","soil","土壤健康与改良","\u002Ftopic\u002Fenvironment\u002Fsoil","H",{"status":37,"locked":14,"version":38,"method":39,"evidence":194},{"candidates":195,"agricultural_evidence":43},[196,202],{"code":188,"score":78,"supported":43,"title":197,"abstract":199,"tags":201},[198],"盐碱地",[200,198],"土壤",[181,182],{"code":31,"score":19,"supported":43,"title":203,"abstract":204,"tags":205},[26],[26],[26],[207,208],"河北滨海所 盐碱地 玉米","唐山丰南 暗管排盐 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日","2026-10-13T00:00:00Z",64,{"impact":18,"substance":78,"depth":19,"authority":13,"freshness":220,"relevant":21,"comment":221},8,"省级秋收进度与大豆高产实测数据兼具时效与信息增量，但属常规农情通报，深度有限。",[223],{"name":216,"url":214},[26,154,225,226,227],"粮食烘干","秋粮收获","增密抗逆",{"code":151,"slug":229,"name":230,"path":231,"parent_code":34},"soybean-oilseeds","大豆与油料","\u002Ftopic\u002Ffield-crops\u002Fsoybean-oilseeds",[233],{"code":31,"slug":32,"name":26,"path":33,"parent_code":34},{"status":37,"locked":14,"version":38,"method":39,"evidence":235},{"candidates":236,"agricultural_evidence":43},[237,241,245,250,256,262,266],{"code":151,"score":19,"supported":43,"title":238,"abstract":239,"tags":240},[154],[154],[154],{"code":31,"score":80,"supported":43,"title":242,"abstract":243,"tags":244},[26],[],[26],{"code":246,"score":49,"supported":43,"title":247,"abstract":248,"tags":249},"E3",[],[225],[],{"code":251,"score":49,"supported":43,"title":252,"abstract":253,"tags":255},"F4",[],[254],"绿色防控",[],{"code":257,"score":49,"supported":43,"title":258,"abstract":259,"tags":261},"F5",[],[260],"收割机",[],{"code":145,"score":21,"supported":14,"title":263,"abstract":264,"tags":265},[],[],[225],{"code":267,"score":21,"supported":14,"title":268,"abstract":269,"tags":270},"J4",[],[],[226],[272,273],"安徽 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减药、降毒、增产!玉米绿色防控新技术亮相新乡田间","https:\u002F\u002Fcaas.cn\u002Fxwzx\u002Fmtxw\u002F3ef9b71ec5ba48b2864a2b4f63c877e4.htm","10月11日,中国农业科学院植物保护研究所、中国农业科学院中原研究中心、农业农村部农产品质量安全生物性危害因子控制重点实验室联合在河南新乡举办玉米病虫害绿色防控与控残减毒技术集成示范观摩交流会。科研团队针对当前玉米生产三大核心困境——病虫灾变防控难、传统防治弊端凸显、毒素污染风险突出,集中展示适配黄淮海夏玉米产区的全生育期病虫害绿色防控、控残减毒集成技术体系,推动田间防控从'粗放防治'向'精准绿色'转变。","金秋时节，黄淮海玉米产区迎来收获关键期，病虫害防控、农药残留管控、真菌毒素治理，直接关系玉米产量稳增与品质安全，是保障粮食安全的关键一环。\n\n10月11日，玉米病虫害绿色防控与控残减毒技术集成示范观摩交流会在河南新乡举办。本次会议由中国农业科学院[植物保护研究所](http:\u002F\u002Fipp.caas.cn\u002F)、中国农业科学院中原研究中心、农业农村部农产品质量安全生物性危害因子（植物源）控制重点实验室、北京中保绿农科技集团有限公司联合主办。来自行业主管部门、科研院所、高校的专家学者及项目骨干、种植大户代表等60名代表齐聚现场，观摩最新科研成果、共话玉米产业绿色高质量发展路径。\n\n![Image 1: image-01.jpg](https:\u002F\u002Fcaas.cn\u002Fimages\u002F2026-10\u002F3a8255df19074f11916af4c08e13e1d1.jpg)  \n观摩会现场\n\n**三重难题制约玉米优质高产发展**\n\n作为我国核心粮食作物，玉米的稳产提质对保障国家粮食安全、夯实粮油供给基础至关重要。当前，我国玉米主产区病虫害呈现频发、重发态势，多重难题叠加，成为产业发展的突出瓶颈。\n\n据科研团队调研分析，目前玉米生产面临三大核心困境。一是病虫灾变防控难，南方锈病、穗腐病、玉米螟、桃蛀螟等重大病虫害灾变机制复杂，传统监测手段智能化程度不足，精准预判、提前防控能力薄弱。二是传统防治弊端凸显，长期依赖化学农药的防控模式，易造成农药残留超标、农业面源污染等问题，破坏农田生态平衡。三是毒素污染风险突出，玉米生物毒素污染呈现超标率高、复合污染率高、区域风险高的“三高”特征，严重影响玉米品质与食用安全，制约产业提质升级。\n\n针对产业痛点，中国农业科学院[植物保护研究所](http:\u002F\u002Fipp.caas.cn\u002F)牵头，联合国内优势科研单位，依托“十四五”国家重点研发计划两大核心项目，组建专项科研团队开展有组织协同攻关，聚焦病虫害演替规律、绿色防控技术、控残减毒机理三大核心方向，系统破解玉米生产稳产提质难题。\n\n**全周期绿色方案实现降本增效减毒**\n\n此次新乡观摩会上，科研团队在新乡综合实验基地集中展示了适配黄淮海夏玉米产区的全生育期病虫害绿色防控、控残减毒集成技术体系，一系列轻量化、高效化、可落地的新技术、新方案、新产品，让田间防控实现从“粗放防治”向“精准绿色”转变。\n\n在病虫害绿色防控层面，多项创新田间技术落地见效。科研团队创新构建“功能植物阻击带”模式，在玉米田四周配套种植向日葵、高粱，利用桃蛀螟等害虫的取食偏好诱集虫源，实现集中诱杀、生态控害，无需大量喷施农药即可降低虫害基数。同时创新“一包两滴法”防护体系，通过播种前种子包衣、苗期与大喇叭口关键期精准滴施药剂，构建“种子—土壤—根系”三层立体防护网络，配套自主研发的智能涌波高效水肥药一体机，实现药肥精准施用，大幅减少农药浪费与面源污染。针对玉米穗期病虫高发问题，推广无人机飞防“一喷多促”技术，一次施药即可兼治多种病虫害，通过减少植株虫伤、机械损伤，从源头降低穗腐病发病概率。\n\n![Image 2: image-02.jpg](https:\u002F\u002Fcaas.cn\u002Fimages\u002F2026-10\u002F016e571e9d2e473bb0f0a4c780c61936.jpg)  \n观摩会现场\n\n在控残减毒核心技术上，科研团队厘清关键防控机理，明确虫害防治是控制玉米伏马毒素污染的核心关键。通过大量田间试验验证，种植抗虫转基因玉米，搭配吐丝期喷施40%唑醚·戊唑醇+天沐飞防助剂，对叶部病害、穗腐病的防控效果最优，降毒成效显著。团队进一步精准锁定施药窗口期，证实玉米吐丝后5至7天内科学施药，可最大程度减少虫害伤口，阻断真菌侵染路径，从源头抑制毒素生成。\n\n此外，团队创新研发“植物健康＋高效施药”协同防控模式，将纳米硒、芸苔素内酯与专用增效助剂科学配伍，形成玉米全周期“农药减量+毒素控制”一体化技术方案。经田间实测，该技术可实现农药用量较常规降低30%以上，玉米增产约10%，兼顾生态效益与经济效益。现场还重点展示了“阿泰灵”植物免疫诱抗剂、“天沐”无人机飞防助剂等核心产品，通过激活作物自身免疫能力、提升药液田间沉积利用率，为玉米绿色防控、品质升级提供硬核产品支撑。\n\n**科研赋能筑牢粮食安全绿色根基**\n\n观摩结束后，与会专家围绕玉米病虫害发生新规律、绿色防控产品迭代优化、控残减毒技术体系完善、区域化技术适配等核心议题展开深度研讨。项目团队依次汇报重点研发计划进展，详细解读玉米病虫演替规律、农残与毒素风险管控、转基因玉米抗性治理等最新科研成果。\n\n咨询专家组充分肯定了阶段性攻关成效，并提出针对性优化建议。专家组指出，当前玉米病虫防控与品质管控形势持续变化，后续需进一步强化病虫害、生物毒素风险的常态化监测预警，深耕基础机理研究；加快绿色防控产品迭代升级，推动各类技术、产品优化集成，打造适配不同生态产区的专属防控体系；同时加大技术示范推广与基层培训力度，打通科研成果落地田间的“最后一公里”。\n\n![Image 3: image-03.jpg](https:\u002F\u002Fcaas.cn\u002Fimages\u002F2026-10\u002F6ef057e0d5154e30a413e3dbf466094e.jpg)  \n观摩会现场\n\n此次观摩交流会集中展现了中国农科院[植物保护研究所](http:\u002F\u002Fipp.caas.cn\u002F)在玉米绿色防控领域的系统性科研成果，彰显了有组织科研助力粮食稳产提质、保障农产品质量安全的价值。中国农业科学院[植物保护研究所](http:\u002F\u002Fipp.caas.cn\u002F)副所长陈捷胤表示，团队将以此次观摩交流为契机，持续深耕玉米病虫害绿色防控与控残减毒技术攻关，加快成熟技术、创新模式的规模化落地推广，持续夯实玉米产业安全、绿色、高质量发展的科技根基，为保障国家粮食安全注入持久科技动能。","中国农业科学院 2026 年 10 月 13 日",88,{"impact":285,"substance":77,"depth":18,"authority":286,"freshness":80,"relevant":21,"comment":287},24,15,"国家级科研机构牵头的玉米绿色防控与控残减毒集成技术示范，数据具体、多方信源，产业指导价值高，值得进入每日精选。",[289],{"name":282,"url":279},[254,26,291,292,293],"农药减量","植保无人机","真菌毒素",{"code":31,"slug":32,"name":26,"path":33,"parent_code":34},[296],{"code":251,"slug":297,"name":298,"path":299,"parent_code":300},"crop-protection","农药与绿色防控","\u002Ftopic\u002Finputs-equipment\u002Fcrop-protection","F",{"status":37,"locked":14,"version":38,"method":39,"evidence":302},{"candidates":303,"agricultural_evidence":43},[304,308,312,318],{"code":251,"score":126,"supported":43,"title":305,"abstract":306,"tags":307},[254],[254],[291,292,254],{"code":31,"score":19,"supported":43,"title":309,"abstract":310,"tags":311},[26],[26],[26],{"code":313,"score":49,"supported":43,"title":314,"abstract":315,"tags":317},"E4",[],[316],"农产品质量",[],{"code":319,"score":21,"supported":14,"title":320,"abstract":321,"tags":322},"H8",[],[],[254],[324,325],"中国农科院 玉米绿色防控 新乡","玉米控残减毒 技术集成示范","中国农科院玉米绿色防控新乡-4847","2026-10-14T00:04:07.275036Z",{"id":329,"title":330,"url":331,"summary":332,"summary_zh":333,"content":8,"source_name":334,"source_url":331,"published_at":335,"category":336,"cover_url":8,"hotness":13,"is_selected":14,"score":337,"score_detail":338,"sources":340,"tags":342,"primary_topic":347,"secondary_topics":348,"classification":355,"search_phrases":377,"slug":380,"view_count":164,"doi":381,"paper":382,"created_at":398},4759,"Machine Learning-based Prediction of SVI Parameter in Maize: A Comparative Study and Feature Importance Analysis","https:\u002F\u002Fdoi.org\u002F10.24925\u002Fturjaf.v14i10.2870-2879.9043","Background: Accurate estimation of seedling vigor indices (SVI) is critical for monitoring plant health and predicting yields in precision agriculture. This study comparatively evaluates the performance of different machine learning algorithms in estimating the SVI parameter. Methods: Germination data were collected from 39 maize genotypes under three different salinity conditions (0 mM, 100 mM, and 200 mM NaCl), including the parameters Gmax, MGT, GI, SL, RL, SdL, SMR, RMR, and SVI. The dataset was preprocessed through normalization to the [0–1] range. The SVI parameter was estimated using four different machine learning methods: Random Forest, CatBoost, LightGBM, and Support Vector Regression (SVR). To evaluate the performance of the models, both 10-fold cross-validation and 80%–20% hold-out validation techniques were employed. The model performance was examined using RMSE, MSE, MAE, and R² metrics. Results: The findings show that all models have a high explanatory power in the training dataset. Specifically, the CatBoost model showed the highest success in the training phase (R²=0.9962), whereas the SVR model achieved the highest generalization performance on the test dataset (R²=0.9712, RMSE=0.0582). Feature importance analysis results revealed that the 'App' parameter had the highest impact on the target variable in most models, but different structural interactions were prominent in the LightGBM model. The results demonstrate that machine learning techniques provide high accuracy in SVI estimation and that the tendency towards overfitting is limited. Conclusions: In conclusion, this study confirms that machine learning techniques are powerful and reliable tools for estimating spectral indices in precision agriculture applications. The integration of SVR and ensemble-based models into agricultural decision support systems is expected to significantly contribute to optimizing resource use and improving yield predictions.","背景：准确估计幼苗活力指数（SVI）对于精准农业中监测植物健康和预测产量至关重要。本研究比较评估了不同机器学习算法在估计SVI参数方面的性能。方法：从39个玉米基因型在三种不同盐度条件（0 mM、100 mM和200 mM NaCl）下收集发芽数据，包括Gmax、MGT、GI、SL、RL、SdL、SMR、RMR和SVI等参数。数据集通过归一化至[0–1]范围进行预处理。采用四种不同的机器学习方法估计SVI参数：随机森林、CatBoost、LightGBM和支持向量回归（SVR）。为评估模型性能，采用了10折交叉验证和80%–20%留出验证技术。使用RMSE、MSE、MAE和R²指标检验模型性能。结果：研究结果表明，所有模型在训练数据集中均具有较高的解释力。具体而言，CatBoost模型在训练阶段表现出最高的成功率（R²=0.9962），而SVR模型在测试数据集上取得了最高的泛化性能（R²=0.9712，RMSE=0.0582）。特征重要性分析结果显示，在大多数模型中，“App”参数对目标变量的影响最大，但在LightGBM模型中不同的结构交互作用更为突出。结果表明，机器学习技术在SVI估计中提供了高精度，且过拟合倾向有限。结论：总之，本研究证实机器学习技术是精准农业应用中估计光谱指数的强大而可靠的工具。将SVR和基于集成的模型整合到农业决策支持系统中，预计将显著有助于优化资源利用和改善产量预测。","Turkish Journal of Agriculture - Food Science and Technology","2026-10-11T00:00:00Z","论文",63,{"impact":220,"substance":18,"depth":78,"authority":19,"freshness":80,"relevant":21,"comment":339},"方法对比扎实、结论可靠，但属细分领域论文，产业影响有限，适合主题聚合而非头条精选。",[341],{"name":334,"url":331},[343,344,345,26,346],"智慧农业","农业人工智能","机器学习","耐盐育种",{"code":31,"slug":32,"name":26,"path":33,"parent_code":34},[349],{"code":350,"slug":351,"name":352,"path":353,"parent_code":354},"I2","agricultural-ai","农业AI与大模型","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-ai","I",{"status":37,"locked":14,"version":38,"method":39,"evidence":356},{"candidates":357,"agricultural_evidence":43},[358,365,369],{"code":350,"score":359,"supported":43,"title":360,"abstract":362,"tags":364},19,[361],"machine learning",[345,361,363],"decision support",[344,345],{"code":31,"score":286,"supported":43,"title":366,"abstract":367,"tags":368},[32],[26,32],[26],{"code":370,"score":371,"supported":43,"title":372,"abstract":373,"tags":376},"I1",7,[],[374,375],"精准农业","precision agriculture",[343],[378,379],"玉米 SVI 机器学习","玉米 耐盐 幼苗活力指数","玉米SVI机器学习-4759","10.24925\u002Fturjaf.v14i10.2870-2879.9043",{"doi":381,"openalex_id":383,"authors":384,"venue":334,"cited_by_count":164,"oa_url":331,"card":391,"direction":395,"ingested_from":397},"W7221462188",[385,388],{"name":386,"orcid":387},"Mustafa Turan Arslan","https:\u002F\u002Forcid.org\u002F0000-0001-5498-6571",{"name":389,"orcid":390},"Gülay Zülkadir","https:\u002F\u002Forcid.org\u002F0000-0003-3488-4011",{"tldr":392,"method":393,"finding":394,"direction":395,"opportunity":396},"用四种机器学习模型基于39个玉米基因型盐胁迫发芽数据预测幼苗活力指数SVI。","39个玉米基因型在三种盐浓度下的发芽数据，归一化后用RF、CatBoost、Li","SVR泛化最优（R²=0.9712），CatBoost训练拟合最高；App参数对SVI影响最大。","农业人工智能与决策模型","可扩展到多作物多胁迫环境，结合光谱或图像表型数据提升SVI预测的田间适用性。","openalex","2026-10-12T23:30:44.762497Z"]