[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-210":3,"related-210":44},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":8,"source_name":9,"source_url":8,"published_at":10,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":14,"score_detail":15,"sources":21,"tags":23,"primary_topic":8,"secondary_topics":29,"classification":30,"search_phrases":38,"slug":41,"view_count":42,"doi":8,"paper":8,"created_at":43},210,"气侯阈值模型解锁生物降解地膜的衰老密码——中国农科院环发所农膜污染防控团队新进展","https:\u002F\u002Fwww.caas.cn\u002F","中国农业科学院农业环境与可持续发展研究所农膜污染防控创新团队在生物降解地膜抗老化性能评价与寿命预测方面取得新进展,建立了气候阈值模型用于解锁生物降解地膜的衰老密码,研究成果发表在Chemical Engineering Journal上。该研究为生物降解地膜在不同气候区域的田间应用与寿命评估提供了关键技术支撑。",null,"中国农业科学院 2026-08-04","2026-08-04T00:00:00Z","报道",10,true,86,{"impact":16,"substance":16,"depth":17,"authority":18,"freshness":12,"relevant":19,"comment":20},22,18,14,1,"国家级科研机构在生物降解地膜领域的新模型成果，具有产业应用价值，信息新颖且权威。",[22],{"name":9,"url":6},[24,25,26,27,28],"中国农科院","生物降解地膜","农膜污染防控","气候阈值模型","环发所",[],{"status":31,"locked":32,"version":33,"method":34,"evidence":35},"unclassified",false,"2026-10-22.2","rules",{"candidates":36,"agricultural_evidence":13,"reason":37},[],"缺少足够的主题证据",[39,40],"农膜污染防控 气候阈值模型 生物降解地膜 中国农科院","农膜污染防控 气候阈值模型","农膜污染防控气候阈值模型生物降解地膜中国农科院-210",21,"2026-08-04T23:54:46.434313Z",{"total":45,"page":19,"page_size":45,"items":46},6,[47,86,140,191,233,264],{"id":48,"title":49,"url":50,"summary":51,"summary_zh":8,"content":8,"source_name":52,"source_url":8,"published_at":53,"category":11,"cover_url":8,"hotness":12,"is_selected":32,"score":54,"score_detail":55,"sources":60,"tags":62,"primary_topic":8,"secondary_topics":67,"classification":68,"search_phrases":81,"slug":84,"view_count":19,"doi":8,"paper":8,"created_at":85},5116,"第八届国际农科院院长高层研讨会(GLAST-2026)将于11月1日至4日在海南三亚举办","https:\u002F\u002Fnews.qq.com\u002Frain\u002Fa\u002F20261016A0EHKG00","经农业农村部批准,第八届国际农科院院长高层研讨会(GLAST-2026)将于2026年11月1日至4日在海南省三亚市举办。会议由中国农业科学院、联合国粮农组织(FAO)、国际农业研究磋商组织(CGIAR)、国际原子能机构(IAEA)等联合主办,三亚市人民政府承办。GLAST于2006年由中国农业科学院率先发起,迄今已成功举办七届。本次会议主题为「科技创新塑造未来农业」,主要议题包括「愿景与展望:如何定义未来农业」「科技与创新:前沿引领未来农业升级」「协同与赋能:构建面向未来农业的全球创新生态」。","中国农业科学院 国合局 腾讯新闻 2026 年 10 月 16 日","2026-10-16T00:00:00Z",83,{"impact":56,"substance":17,"depth":57,"authority":57,"freshness":58,"relevant":19,"comment":59},26,15,9,"由国家级科研机构与FAO、CGIAR等联合主办的国际农业科技盛会，层级高、时效强，值得进入每日精选。",[61],{"name":52,"url":50},[24,63,64,65,66],"农业科技创新","国际合作","未来农业","全球创新生态",[],{"status":31,"locked":32,"version":33,"method":34,"evidence":69},{"candidates":70,"agricultural_evidence":13,"reason":37},[71,76],{"code":72,"score":19,"supported":32,"title":73,"abstract":74,"tags":75},"J2",[],[],[63],{"code":77,"score":19,"supported":32,"title":78,"abstract":79,"tags":80},"J3",[],[],[64],[82,83],"GLAST-2026 三亚","全球创新生态 农业科技创新 中国农科院 国际合作","GLAST-2026三亚-5116","2026-10-17T00:13:39.633419Z",{"id":87,"title":88,"url":89,"summary":90,"summary_zh":8,"content":91,"source_name":92,"source_url":8,"published_at":93,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":94,"score_detail":95,"sources":99,"tags":101,"primary_topic":106,"secondary_topics":112,"classification":113,"search_phrases":134,"slug":137,"view_count":138,"doi":8,"paper":8,"created_at":139},5041,"我国首创面源污染智能监测系统 全球首套农业面源污染物实时动态监测装备问世","https:\u002F\u002Fwww.cenews.com.cn\u002Fnews.html?aid=1210584","中国农业科学院农业质量标准与检测技术研究所农业环境污染物研究室成功研发全球首套面源污染智能监测系统,并制定《农业面源污染智能监测技术规范》,首次实现对流动水体中高风险抗生素、农药残留等新发污染物的实时在线动态监测。材料稳定性较传统吸附剂提升5倍以上,可同步检测3类9种农药和3类10种抗生素,灵敏度达ng\u002FmL级,响应时间缩短至1分钟以内,已应用于海河、太湖等流域示范工程。","![Image 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[地方+](https:\u002F\u002Fwww.cenews.com.cn\u002Flocality.html?cid=16)\n\n[首页](https:\u002F\u002Fwww.cenews.com.cn\u002Findex.html)[>](https:\u002F\u002Fwww.cenews.com.cn\u002Fnews.html?aid=1210584)[秀美乡村](https:\u002F\u002Fwww.cenews.com.cn\u002Fcolumn.html?cid=210)\n\n##### 我国首创面源污染智能监测系统，实现水体污染物动态追踪\n\n时间：2025-04-06 14:00:00 来源：科技日报 作者：马爱平\n\n记者从中国农业科学院获悉，该院农业质量标准与检测技术研究所（以下简称质标所）农业环境污染物研究室在农业面源污染监测领域取得突破。团队成功研发出全球首套面源污染智能监测系统，并制定《农业面源污染智能监测技术规范》，首次实现对流动水体中高风险抗生素、农药残留等新发污染物的实时、在线、动态监测。相关系列成果发表于《聚集体》《分析化学》《美国化学会材料快报》等国际期刊，并获2项发明专利授权。该系统已应用于海河、太湖等流域示范工程。\n\n据项目负责人、研究员程劼介绍，该项目在面源污染智能监测系统材料、技术和装备领域实现三重突破：创制多功能传感材料，开发出具有分子识别与信号增强功能的纳米复合材料，可同时捕获多类污染物，材料稳定性较传统吸附剂提升5倍以上；研发多靶标动态识别技术，结合人工智能算法，实现3类9种农药和3类10种抗生素的同步检测，检测灵敏度达ng\u002FmL级（相当于一滴水溶解十亿分之一的污染物），响应时间缩短至1分钟以内；集成全自动分析装备，采用物联网技术构建智能监测系统，集成自动采样、预处理、分析等模块，实现连续180天无人值守运行，运维成本降低70%。\n\n“新型智能监测系统针对流动水体干扰物多、对痕量污染物捕获识别难的瓶颈难题，发明了系列多功能传感材料，实现污染物高效捕获、动态富集与高灵敏识别。”程劼表示，该系统还可在河流、沟渠、养殖塘等复杂水文环境中稳定运行，耐受-20℃至50℃极端温度，防腐蚀设计使其适用于高盐度水域。通过监测数据实时上传至云端平台，结合GIS技术生成污染热力图，该系统的预警准确率达90%以上。\n\n目前，该系统已应用于太湖、海河等流域新发污染物预警监测，大幅减少了人力成本，显著提高了监测效率。程劼表示，下一步，该系统将新增全氟化合物、内分泌干扰物、微塑料等新污染物检测功能，未来有望应用在日常水质监测、水产养殖等更多领域。\n\n编辑：韦璐\n\n本作品如有侵权，请联系我们及时删除。联系电话：010-67175015\n\n*   _1_\n*   ![Image 8](https:\u002F\u002Fwww.cenews.com.cn\u002Fimages\u002Fsina_on.png)微博\n*   ![Image 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31](https:\u002F\u002Fres.cenews.com.cn\u002Fdata3\u002F1\u002Fimages\u002F2026\u002F0703\u002F17830591145181216_600x338.jpg)](https:\u002F\u002Fwww.cenews.com.cn\u002Fnews.html?aid=1794317)[![Image 32](https:\u002F\u002Fres.cenews.com.cn\u002Fdata3\u002F1\u002Fimages\u002F2025\u002F1117\u002F17633440748251153_600x339.png)](https:\u002F\u002Fwww.cenews.com.cn\u002Fnews.html?aid=1748633)[![Image 33](https:\u002F\u002Fres.cenews.com.cn\u002Fdata3\u002F1\u002Fimages\u002F2025\u002F1223\u002F17664783024401681_600x339.png)](https:\u002F\u002Fwww.cenews.com.cn\u002Fnews.html?aid=1752262)[![Image 34](https:\u002F\u002Fres.cenews.com.cn\u002Fdata3\u002F1\u002Fimages\u002F2026\u002F0610\u002F17810582464551996_598x338.jpg)](https:\u002F\u002Fwww.cenews.com.cn\u002Ftraining.html)[![Image 35](https:\u002F\u002Fres.cenews.com.cn\u002Fdata3\u002F1\u002Fimages\u002F2025\u002F0917\u002F17580734990091624_529x299.jpg)](https:\u002F\u002Fwww.cenews.com.cn\u002Fnews.html?aid=1633063)[![Image 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2026年10月15日","2026-10-15T00:00:00Z",89,{"impact":96,"substance":16,"depth":97,"authority":18,"freshness":12,"relevant":19,"comment":98},27,16,"全球首套农业面源污染物实时动态监测装备，属国家级科研突破，信息增量与时效性俱佳，值得进入每日精选。",[100],{"name":92,"url":89},[24,102,103,104,105],"农业传感器","农业环境","面源污染","智能监测",{"code":107,"slug":108,"name":109,"path":110,"parent_code":111},"H5","waste","面源污染与废弃物利用","\u002Ftopic\u002Fenvironment\u002Fwaste","H",[],{"status":114,"locked":32,"version":33,"method":34,"evidence":115},"classified",{"candidates":116,"agricultural_evidence":13},[117,122,129],{"code":107,"score":118,"supported":13,"title":119,"abstract":120,"tags":121},12,[104],[104],[104],{"code":123,"score":124,"supported":13,"title":125,"abstract":126,"tags":128},"F4",3,[],[127],"农药",[],{"code":130,"score":19,"supported":32,"title":131,"abstract":132,"tags":133},"I5",[],[],[102],[135,136],"农业面源污染 实时动态监测 装备","中国农科院 质标所 面源污染 监测系统","农业面源污染实时动态监测装备-5041",0,"2026-10-16T00:13:11.222266Z",{"id":141,"title":142,"url":143,"summary":144,"summary_zh":8,"content":145,"source_name":146,"source_url":8,"published_at":93,"category":11,"cover_url":8,"hotness":12,"is_selected":32,"score":14,"score_detail":147,"sources":150,"tags":152,"primary_topic":157,"secondary_topics":162,"classification":163,"search_phrases":186,"slug":189,"view_count":19,"doi":8,"paper":8,"created_at":190},5036,"中国农业科学院公示\"2026中国农业科学重大进展\" 10项成果入选","https:\u002F\u002Fcaas.cn\u002Ftzgg\u002Fzytz\u002F10416f2a76224dd29fddd8fa9d58028d.htm","中国农业科学院农业信息研究所发布\"2026中国农业科学重大进展\"公示,基于2025年度Web of Science收录的农业领域中国学者以第一或通讯作者发表的论文,经文献计量初选、同行专家评审和院士遴选等过程,评选出10项重大进展,涵盖小麦泛基因组结构变异、水稻赤霉素精准调控等前沿方向,公示期5日。","为充分展示我国农业科技原始创新能力，宣传我国农业领域的重大科学成果，加快推动我国农业高水平科技自立自强，我单位组织开展了“2026中国农业科学重大进展”评选工作。按照“前沿引领、开创卓越、重大突破”的原则，以2025年度Web of Science收录的农业领域中国学者以第一或通讯作者发表的论文为基础，经文献计量初选、同行专家评审和院士遴选等过程，评选出10项重大进展。现将拟入选的10项重大进展予以公示（排名不分先后），公示期为自本公告发布之日起5日。如对入选论文有异议，请于公示期内向中国农业科学院农业信息研究所提出书面意见，并写明真实姓名、工作单位、联系方式。","中国农业科学院农业信息研究所 2026年10月15日",{"impact":56,"substance":148,"depth":57,"authority":57,"freshness":12,"relevant":19,"comment":149},20,"国家级农业科研机构发布的年度十大重大进展公示，权威性与时效性强，但属评选公示类信息，实质条款与数据有限。",[151],{"name":146,"url":143},[24,153,154,155,156],"农业科技","重大进展","院士遴选","成果公示",{"code":158,"slug":159,"name":160,"path":161,"parent_code":8},"A","field-crops","大田作物","\u002Ftopic\u002Ffield-crops",[],{"status":164,"locked":32,"version":33,"method":34,"evidence":165},"partial",{"candidates":166,"agricultural_evidence":13,"reason":185},[167,173,179],{"code":168,"score":124,"supported":13,"title":169,"abstract":170,"tags":172},"A1",[],[171],"水稻",[],{"code":174,"score":124,"supported":13,"title":175,"abstract":176,"tags":178},"A2",[],[177],"小麦",[],{"code":180,"score":124,"supported":13,"title":181,"abstract":182,"tags":184},"I7",[],[183],"文献计量",[],"一级领域明确，二级方向需要细分",[187,188],"中国农业科学院 农业科学重大进展","农业科学 十大进展","中国农业科学院农业科学重大进展-5036","2026-10-16T00:13:10.806912Z",{"id":192,"title":193,"url":194,"summary":195,"summary_zh":8,"content":196,"source_name":197,"source_url":8,"published_at":198,"category":11,"cover_url":8,"hotness":12,"is_selected":32,"score":199,"score_detail":200,"sources":203,"tags":205,"primary_topic":210,"secondary_topics":215,"classification":216,"search_phrases":228,"slug":231,"view_count":138,"doi":8,"paper":8,"created_at":232},4766,"棉花关键技术集成助力高温逆境下产量品质效益三丰收","https:\u002F\u002Fwap.sciencenet.cn\u002Fmobile.php?cat=T&id=572667","中国农业科学院西部农业研究中心在昌吉州老龙河综合试验基地举办棉花优质高产关键技术集成示范观摩会。千亩示范方实测籽棉平均亩产601.4公斤,集成中棉113优系、中新棉1号、3号等优质多抗新品种,以及高光效群体调控、智慧棉田管理、绿色病虫害防控等成套技术,节药15%以上、人工成本降低30%以上。","科学网—\n\n## [![Image 1: 科学网](https:\u002F\u002Fwap.sciencenet.cn\u002Fstatic\u002Fimage\u002Fcommon\u002Flogo.png)](https:\u002F\u002Fwap.sciencenet.cn\u002F \"科学网\")\n\n*   [要闻](https:\u002F\u002Fwap.sciencenet.cn\u002Fmobile.php?type=news&cat=yaowen&mobile=1)\n*   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18.jpg](https:\u002F\u002Fwww.caas.cn\u002Fimages\u002F2026-09\u002Fb606e42ee5f14d458a7f52385ce0388b.jpg)\n\n甘蓝型油菜叶片高硫苷种子低硫苷新种质创制。中国农科院供图\n\n硫苷是十字花科植物特有的抗病虫化合物，叶片高硫苷可显著提高抗性，但硫苷有抗营养性，家畜食用高硫苷种子的饼粕会引发甲状腺肿大等问题。长期以来，叶片与种子硫苷含量高度正相关，降低种子硫苷会同时降低叶片硫苷而削弱其抗性，提高叶片硫苷又会使种子硫苷升高、饼粕品质下降。因此，创制叶片高硫苷、种子低硫苷种质成为育种难题。\n\n团队经十余年攻关，构建了油菜泛基因组，绘制全球首张基因组结构变异全景图谱，系统鉴定出436个调控硫苷代谢的关键基因，首次揭示硫苷合成与转运关键基因紧密连锁是叶片和种子硫苷含量耦联的根本原因，并发现调控合成关键基因中存在高表达基因取代低表达同源基因的现象。\n\n根据此发现，科研人员利用基因编辑精准敲除硫苷转运基因，创制出叶片硫苷含量达49.4微摩尔\u002F克、种子硫苷含量降低70%以上且达国际双低标准的新种质，为目前已知叶片硫苷最高且种子硫苷最低的油菜，有效破解了叶片与种子硫苷含量高度耦合的难题，为高抗优质育种提供了新理论路径和种质资源。\n\n该研究得到中国农业科学院科技创新工程、油菜产业体系和国家自然科学基金等项目资助。\n\n相关论文信息：https:\u002F\u002Fdoi.org\u002F10.1186\u002Fs43897-026-00241-y\n\n(单位: 中国农业科学院油料作物研究所)\n\n打印本页\n\n关闭本页\n\n[院网信息发布与管理](https:\u002F\u002Fwww.caas.cn\u002Fywxxfbygl\u002Findex.htm)[最新动态](https:\u002F\u002Fwww.caas.cn\u002Fywxxfbygl\u002Findex.htm)\n\n*   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2026-09","2026-09-02T00:00:00Z",77,{"impact":16,"substance":148,"depth":57,"authority":18,"freshness":45,"relevant":19,"comment":274},"油菜种质创新突破，解决硫苷耦联难题，对油料作物品质改良有重要价值。",[276],{"name":270,"url":267},[278,24,279,280],"种业振兴","油菜育种","硫苷含量",{"code":282,"slug":283,"name":284,"path":285,"parent_code":158},"A4","soybean-oilseeds","大豆与油料","\u002Ftopic\u002Ffield-crops\u002Fsoybean-oilseeds",[],{"status":114,"locked":32,"version":33,"method":34,"evidence":288},{"candidates":289,"agricultural_evidence":13},[290,295],{"code":282,"score":118,"supported":13,"title":291,"abstract":293,"tags":294},[292],"油菜",[292],[279],{"code":296,"score":19,"supported":32,"title":297,"abstract":298,"tags":299},"F1",[],[],[278],[301,302],"中国农科院 油菜育种 硫苷含量 种业振兴","中国农科院 油菜育种","中国农科院油菜育种硫苷含量种业振兴-1855","2026-09-08T00:07:13.187098Z"]