[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2452":3,"related-2452":95},{"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":31,"secondary_topics":37,"classification":50,"search_phrases":89,"slug":92,"view_count":93,"doi":8,"paper":8,"created_at":94},2452,"中国农科院生物所开发引导编辑系统创制耐双除草剂紫花苜蓿新种质(Plant Biotechnology Journal)","https:\u002F\u002Fbri.caas.cn\u002Fxwdt\u002Fkyjz\u002F15de4625557e461484535a717789a7a9.htm","中国农科院生物所饲草作物功能基因组创新团队开发了紫花苜蓿高效引导编辑技术体系,并创制了耐双除草剂紫花苜蓿新种质,为饲草绿色轻简化栽培和分子育种提供了重要技术工具与种质资源。研究团队通过优化驱动引导编辑核心元件的启动子,构建适用于紫花苜蓿的引导编辑系统,进一步对 MsALS1、MsALS2 及 MsACC1 基因同时定点突变,创制出兼具烟嘧磺隆高抗性与高效氟吡甲禾灵耐受性的紫花苜蓿新种质。该研究首次在紫花苜蓿中实现多基因引导编辑。成果发表在《Plant Biotechnology Journal》。",null,"### 生物所开发引导编辑系统并创制耐双除草剂紫花苜蓿新种质\n\n近日，中国农业科学院生物技术研究所饲草作物功能基因组创新团队开发了紫花苜蓿高效引导编辑技术体系，并创制了耐双除草剂紫花苜蓿新种质，为饲草绿色轻简化栽培和分子育种提供了重要技术工具与种质资源。相关研究成果发表在《植物生物技术杂志（Plant Biotechnology Journal）》上。\n\n![Image 1](https:\u002F\u002Fbri.caas.cn\u002Fimages\u002F2026-09\u002F3b6cc618b82e41f0935363d23fe6c309.png)\n\n杂草防控是紫花苜蓿生产中的关键环节。长期单一施用除草剂易诱导杂草产生抗药性，同时带来土壤残留风险。创制新型多抗除草剂紫花苜蓿种质，对提升饲草产量与品质、降低田间管理成本、推进产业绿色可持续发展具有重要意义与应用前景。\n\n研究团队通过优化驱动引导编辑核心元件的启动子，构建了适用于紫花苜蓿的引导编辑系统。进一步对MsALS1、MsALS2及MsACC1基因同时定点突变，创制出了兼具烟嘧磺隆高抗性与高效氟吡甲禾灵耐受性的紫花苜蓿新种质。该研究首次在紫花苜蓿中实现了多基因引导编辑，为紫花苜蓿生物育种与多抗种质创新提供了新型技术工具和优异种质资源。\n\n生物所博士研究生李世豪为论文第一作者。牛丽芳研究员、林浩研究员为共同通讯作者。中国农业大学宗媛教授分享了pB-CMPE-ePPEplus载体、广州大学关跃峰教授分享了pGES401载体。该研究工作得到了国家自然科学基金(32325035)和中国农业科学院科技创新工程等项目的支持。\n\n原文链接：https:\u002F\u002Fonlinelibrary.wiley.com\u002Fdoi\u002F10.1111\u002Fpbi.70752","中国农科院生物所 2026-09-13","2026-09-12T16:00:00Z","报道",10,false,85,{"impact":17,"substance":17,"depth":18,"authority":19,"freshness":20,"relevant":21,"comment":22},22,18,15,8,1,"国家级科研机构在紫花苜蓿上首次实现多基因引导编辑并创制耐双除草剂新种质，方法新颖、结论可靠，对饲草绿色轻简化栽培有实质推动，值得进入每日精选。",[24],{"name":10,"url":6},[26,27,28,29,30],"生物育种","种质创新","基因编辑","饲草产业","紫花苜蓿",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},"C4","feed","饲料与饲草","\u002Ftopic\u002Flivestock\u002Ffeed","C",[38,44],{"code":39,"slug":40,"name":41,"path":42,"parent_code":43},"A7","forage-cropping","饲草与耕作制度","\u002Ftopic\u002Ffield-crops\u002Fforage-cropping","A",{"code":45,"slug":46,"name":47,"path":48,"parent_code":49},"F4","crop-protection","农药与绿色防控","\u002Ftopic\u002Finputs-equipment\u002Fcrop-protection","F",{"status":51,"locked":14,"version":52,"method":53,"evidence":54},"classified","2026-10-22.2","rules",{"candidates":55,"agricultural_evidence":58},[56,64,69,75,82],{"code":32,"score":57,"supported":58,"title":59,"abstract":61,"tags":63},16,true,[60],"苜蓿",[62,60],"饲草",[30,29],{"code":39,"score":65,"supported":58,"title":66,"abstract":67,"tags":68},13,[60],[60],[30,29],{"code":45,"score":70,"supported":58,"title":71,"abstract":73,"tags":74},11,[72],"除草",[72],[],{"code":76,"score":77,"supported":58,"title":78,"abstract":79,"tags":81},"F2",5,[],[80],"分子育种",[28,26],{"code":83,"score":84,"supported":58,"title":85,"abstract":86,"tags":88},"F1",3,[],[87],"种质资源",[],[90,91],"基因编辑 生物育种 种质创新 紫花苜蓿","基因编辑 生物育种","基因编辑生物育种种质创新紫花苜蓿-2452",2,"2026-09-15T00:04:21.833636Z",{"total":96,"page":21,"page_size":96,"items":97},6,[98,154,200,241,339,447],{"id":99,"title":100,"url":101,"summary":102,"summary_zh":8,"content":103,"source_name":104,"source_url":8,"published_at":105,"category":12,"cover_url":8,"hotness":106,"is_selected":14,"score":15,"score_detail":107,"sources":110,"tags":118,"primary_topic":121,"secondary_topics":122,"classification":125,"search_phrases":149,"slug":152,"view_count":21,"doi":8,"paper":8,"created_at":153},4125,"中国农科院生物所创制耐双除草剂紫花苜蓿新种质——首次在苜蓿中实现多基因引导编辑","https:\u002F\u002Fcaas.cn\u002Fxwzx\u002Fkyhd\u002F692732a894894707983363d917607795.htm","中国农业科学院生物技术研究所饲草作物功能基因组创新团队开发紫花苜蓿高效引导编辑系统，成功创制耐双除草剂紫花苜蓿新种质。研究团队构建适配紫花苜蓿的高效引导编辑系统，对三个抗除草剂靶标基因同时定点突变，创制出兼具烟嘧磺隆高抗性与高效氟吡甲禾灵耐受性的苜蓿新质。该研究首次在紫花苜蓿中实现多基因引导编辑，相关成果发表在《Plant Biotechnology Journal》。","[English](https:\u002F\u002Fwww.caas.cn\u002Fen)[邮箱](https:\u002F\u002Fmail.caas.cn\u002F)[数字农科院](https:\u002F\u002Fi.caas.cn\u002F)[](https:\u002F\u002Fcaas.cn\u002Fcms\u002Fweb\u002Fsearch\u002Findex.jsp?siteID=cdb01dceb46e48488945d4465e90f221&aba=)\n\n官方微信 \n\n![Image 2](https:\u002F\u002Fcaas.cn\u002Fimages\u002F2023-01\u002F020ac4d3d8b6451782a8702c72604336.jpg)农科专家在线微信公众号\n\n![Image 3](https:\u002F\u002Fcaas.cn\u002Fimages\u002F2023-01\u002Fbf6579e4651e437db31a22cd2249b319.jpg)中国农科院微信公众号\n\n[![Image 4](https:\u002F\u002Fcaas.cn\u002Fstatic2022\u002Fimages\u002Fmenu_logo.png)](https:\u002F\u002Fcaas.cn\u002Findex.htm)\n\n*   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Journal）》上。\n\n杂草防控是紫花苜蓿生产中的关键环节，直接影响饲草产量品质与生产效益。然而，长期单一施用除草剂会引发杂草抗药性上升、土壤残留等问题，制约紫花苜蓿绿色可持续规模化种植。\n\n研究团队构建了适配紫花苜蓿的高效引导编辑系统，并进一步对三个抗除草剂靶标基因同时定点突变，创制出了兼具烟嘧磺隆高抗性与高效氟吡甲禾灵耐受性的紫花苜蓿新种质。该研究首次在紫花苜蓿中实现了多基因引导编辑，为紫花苜蓿生物育种与多抗种质创新提供了新型技术工具和优异种质资源。\n\n该研究得到国家自然科学基金、中国农业科学院科技创新工程等项目支持。（通讯员：崔艳）\n\n原文链接：https:\u002F\u002Fonlinelibrary.wiley.com\u002Fdoi\u002F10.1111\u002Fpbi.70752\n\n![Image 8: image.png](https:\u002F\u002Fcaas.cn\u002Fimages\u002F2026-09\u002Fff58b03ac069469f9b2a4c67041dac21.png)\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\u002Fcaas.cn\u002Fywxxfbygl\u002Findex.htm)[最新动态](https:\u002F\u002Fcaas.cn\u002Fywxxfbygl\u002Findex.htm)\n\n*   [科技赋能沃野 夯实中原粮仓 专家下沉一线护航玉米丰产丰收](https:\u002F\u002Fcaas.cn\u002Fxwzx\u002Fhzdznew\u002F21942b3ab22c47fc935218df967152b7.htm)2026-09-28  \n*   [秋收图景](https:\u002F\u002Fwww.caas.cn\u002Fzt\u002F2026qstj\u002Findex.htm)2026-09-28  \n*   [ARC生物耦合技术赋能兰考花生产业增产增效](https:\u002F\u002Fcaas.cn\u002Fxwzx\u002Fkyhd\u002Ffc42a7cb57414940a787e12f23de332e.htm)2026-09-28  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京公网安备11010802048565号](http:\u002F\u002Fwww.beian.gov.cn\u002Fportal\u002FregisterSystemInfo?recordcode=11010802048565)","中国农业科学院网·2026年10月","2026-10-02T00:00:00Z",40,{"impact":108,"substance":17,"depth":57,"authority":19,"freshness":20,"relevant":21,"comment":109},24,"国家级科研机构首次在苜蓿中实现多基因引导编辑，属生物育种领域实质性突破，具备进入每日精选的价值。",[111,112,115],{"name":104,"url":101},{"name":113,"url":114},"中国科学报·2026年10月4日","https:\u002F\u002Fwap.sciencenet.cn\u002Fmobile.php?cat=T&id=572493&mobile=1&type=detail",{"name":116,"url":117},"中国科学报 2026-10-04","https:\u002F\u002Fnews.sciencenet.cn\u002Fhtmlnews\u002F2026\u002F10\u002F572493.shtm",[119,26,28,30,120],"种业振兴","除草剂抗性",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[123,124],{"code":39,"slug":40,"name":41,"path":42,"parent_code":43},{"code":45,"slug":46,"name":47,"path":48,"parent_code":49},{"status":51,"locked":14,"version":52,"method":53,"evidence":126},{"candidates":127,"agricultural_evidence":58},[128,132,137,141,145],{"code":32,"score":19,"supported":58,"title":129,"abstract":130,"tags":131},[60],[62,60],[30],{"code":39,"score":133,"supported":58,"title":134,"abstract":135,"tags":136},12,[60],[60],[30],{"code":45,"score":70,"supported":58,"title":138,"abstract":139,"tags":140},[72],[72],[],{"code":76,"score":93,"supported":14,"title":142,"abstract":143,"tags":144},[],[],[28,26],{"code":83,"score":21,"supported":14,"title":146,"abstract":147,"tags":148},[],[],[119],[150,151],"中国农科院生物所 紫花苜蓿","苜蓿 引导编辑 耐除草剂","中国农科院生物所紫花苜蓿-4125","2026-10-04T00:09:06.421141Z",{"id":155,"title":156,"url":114,"summary":157,"summary_zh":8,"content":158,"source_name":159,"source_url":8,"published_at":160,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":15,"score_detail":161,"sources":163,"tags":165,"primary_topic":168,"secondary_topics":169,"classification":172,"search_phrases":195,"slug":198,"view_count":84,"doi":8,"paper":8,"created_at":199},4258,"中国农科院创制紫花苜蓿多基因引导编辑耐双除草剂新种质","中国农业科学院生物技术研究所饲草作物功能基因组创新团队开发紫花苜蓿高效引导编辑系统，对3个抗除草剂靶标基因同时定点突变，创制出兼具烟嘧磺隆高抗性与高效氟吡甲禾灵耐受性的紫花苜蓿新种质。首次在紫花苜蓿中实现多基因引导编辑，成果发表在《Plant Biotechnology Journal》。","近日，中国农业科学院生物技术研究所饲草作物功能基因组创新团队开发了紫花苜蓿高效引导编辑系统，成功创制耐双除草剂紫花苜蓿新种质，为饲草绿色轻简化栽培和分子育种提供了重要技术工具与种质资源。相关研究成果发表在《植物生物技术杂志》（_**Plant Biotechnology Journal**_）上。\n\n![Image 1](https:\u002F\u002Frmtzx.sciencenet.cn\u002Fkxwsprint\u002F6ac2195ae4b078fce44b15d7.jpg)紫花苜蓿。中国农科院供图\n\n杂草防控是紫花苜蓿生产中的关键环节，直接影响饲草产量品质与生产效益。然而，长期单一施用除草剂会引发杂草抗药性上升、土壤残留等问题，制约紫花苜蓿绿色可持续规模化种植。\n\n研究团队构建了适配紫花苜蓿的高效引导编辑系统，并进一步对三个抗除草剂靶标基因同时定点突变，创制出了兼具烟嘧磺隆高抗性与高效氟吡甲禾灵耐受性的紫花苜蓿新种质。该研究首次在紫花苜蓿中实现了多基因引导编辑，为紫花苜蓿生物育种与多抗种质创新提供了新型技术工具和优异种质资源。\n\n该研究得到国家自然科学基金、中国农业科学院科技创新工程等项目支持。\n\n相关论文信息：https:\u002F\u002Fdoi.org\u002F10.1111\u002Fpbi.70752","科学网 2026-10-04","2026-10-04T00:00:00Z",{"impact":17,"substance":17,"depth":18,"authority":19,"freshness":20,"relevant":21,"comment":162},"国家级科研机构首次在紫花苜蓿实现多基因引导编辑并创制耐双除草剂新种质，技术新颖、种质资源价值明确，值得进入每日精选。",[164],{"name":159,"url":114},[119,28,30,166,167],"耐除草剂","饲草育种",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[170,171],{"code":39,"slug":40,"name":41,"path":42,"parent_code":43},{"code":45,"slug":46,"name":47,"path":48,"parent_code":49},{"status":51,"locked":14,"version":52,"method":53,"evidence":173},{"candidates":174,"agricultural_evidence":58},[175,179,183,187,191],{"code":32,"score":19,"supported":58,"title":176,"abstract":177,"tags":178},[60],[62,60],[30],{"code":39,"score":133,"supported":58,"title":180,"abstract":181,"tags":182},[60],[60],[30],{"code":45,"score":70,"supported":58,"title":184,"abstract":185,"tags":186},[72],[72],[],{"code":83,"score":21,"supported":14,"title":188,"abstract":189,"tags":190},[],[],[119],{"code":76,"score":21,"supported":14,"title":192,"abstract":193,"tags":194},[],[],[28],[196,197],"中国农科院 紫花苜蓿 耐除草剂","紫花苜蓿 引导编辑 新种质","中国农科院紫花苜蓿耐除草剂-4258","2026-10-06T00:05:01.723992Z",{"id":201,"title":202,"url":203,"summary":204,"summary_zh":8,"content":8,"source_name":205,"source_url":8,"published_at":206,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":207,"score_detail":208,"sources":212,"tags":214,"primary_topic":217,"secondary_topics":218,"classification":220,"search_phrases":235,"slug":238,"view_count":239,"doi":8,"paper":8,"created_at":240},2825,"山东鲁苜20、鲁苜22两个紫花苜蓿新品种通过山东农学会鉴定","http:\u002F\u002Fwww.sd-nxh.com\u002Fart\u002F2026\u002F9\u002F15\u002Fart_343002_6701.html","依据《山东农学会非主要农作物品种鉴评办法》,经山东农学会品种鉴定委员会第五次专家会议评审,山东省农业科学院等单位选育的紫花苜蓿品种鲁苜20、鲁苜22,符合新品种鉴定条件,准予鉴定。山东农学会发布山东农学会非主要农作物品种鉴评公告第3号,标志着山东省紫花苜蓿育种取得新突破,为饲草产业提供优异种源。","山东农学会","2026-09-15T00:00:00Z",71,{"impact":18,"substance":209,"depth":210,"authority":70,"freshness":20,"relevant":21,"comment":211},20,14,"省级学会鉴定的两个紫花苜蓿新品种，属种业与饲草产业实质进展，但影响限于区域，适合主题聚合而非头条精选。",[213],{"name":205,"url":203},[119,215,29,30,216],"山东省农科院","品种鉴定",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[219],{"code":39,"slug":40,"name":41,"path":42,"parent_code":43},{"status":51,"locked":14,"version":52,"method":53,"evidence":221},{"candidates":222,"agricultural_evidence":58},[223,227,231],{"code":32,"score":57,"supported":58,"title":224,"abstract":225,"tags":226},[60],[62,60],[30,29],{"code":39,"score":65,"supported":58,"title":228,"abstract":229,"tags":230},[60],[60],[30,29],{"code":83,"score":21,"supported":14,"title":232,"abstract":233,"tags":234},[],[],[119],[236,237],"山东省农科院 品种鉴定 种业振兴 紫花苜蓿","山东省农科院 品种鉴定","山东省农科院品种鉴定种业振兴紫花苜蓿-2825",4,"2026-09-18T00:03:27.290974Z",{"id":242,"title":243,"url":244,"summary":245,"summary_zh":246,"content":8,"source_name":247,"source_url":244,"published_at":248,"category":249,"cover_url":8,"hotness":13,"is_selected":14,"score":250,"score_detail":251,"sources":253,"tags":255,"primary_topic":260,"secondary_topics":261,"classification":269,"search_phrases":304,"slug":307,"view_count":308,"doi":309,"paper":310,"created_at":338},5573,"Improving alfalfa nitrogen estimation with canopy structural priors from DSSAT–PROSAIL and UAV hyperspectral data","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.eja.2026.128375","Accurate estimation of nitrogen (N) concentration in alfalfa ( Medicago sativa L .) supports forage quality assessment and harvest scheduling. Empirical remote sensing models often overfit because of confounding effects of three-dimensional canopy structure. Incorporating structural parameters can stabilize biochemical inversions, but concurrent in situ morphological measurements are difficult to acquire at scale. We developed the Morphology-Aware Latent Embedding Network (MALENet), a hybrid framework integrating physiological and morphological mechanisms with hyperspectral data. The Decision Support System for Agrotechnology Transfer (DSSAT), coupled with the PROSAIL radiative transfer model, generated a structurally rich synthetic hyperspectral prior. A convolutional neural network (CNN) with a Squeeze-and-Excitation (SE) attention mechanism, was pre-trained on these data to distill ecophysiological knowledge into a dense latent representation. This mechanistically derived embedding was then fused with empirical hyperspectral measurements collected under diverse field conditions. Evaluation using multi-year field quadrats in the Hexi Corridor showed improved predictive performance ( R² = 0.71, RMSE = 0.30%) relative to conventional machine learning and deep learning models (LASSO-ANN: R² = 0.61; CNN: R² = 0.66). Feature attribution indicated that MALENet used near-infrared multiple scattering (58.3% attribution) as a structural proxy to calibrate nitrogen concentration retrieval against the confounding effects of canopy architecture. Despite constraints imposed by sample size and PROSAIL's 1D canopy assumption, these findings demonstrate the potential of physically guided deep learning to use structural information for agricultural trait retrieval in precision forage management.","准确估算紫花苜蓿（Medicago sativa L.）的氮浓度有助于饲草品质评估和收获期安排。经验性遥感模型常因三维冠层结构的混杂效应而出现过拟合。引入结构参数可以稳定生化反演，但同步开展原位形态学测量难以大规模获取。我们开发了形态感知潜在嵌入网络（Morphology-Aware Latent Embedding Network，MALENet），这是一个将生理与形态机制同高光谱数据相结合的混合框架。农业技术转移决策支持系统（Decision Support System for Agrotechnology Transfer，DSSAT）与PROSAIL辐射传输模型耦合，生成了结构信息丰富的合成高光谱先验数据。在此基础上，预训练了一个带有挤压—激励（Squeeze-and-Excitation，SE）注意力机制的卷积神经网络（convolutional neural network，CNN），将生态生理学知识提炼为稠密潜在表征。随后，将这一机制性导出的嵌入与在不同田间条件下采集的经验性高光谱测量数据相融合。利用河西走廊多年田间样方进行的评估显示，相较于传统机器学习和深度学习模型（LASSO-ANN：R² = 0.61；CNN：R² = 0.66），预测性能有所提升（R² = 0.71，RMSE = 0.30%）。特征归因表明，MALENet利用近红外多次散射（归因占比58.3%）作为结构代理，以校准氮浓度反演，抵御冠层结构的混杂效应。尽管受样本量和PROSAIL一维冠层假设的限制，这些发现表明，物理引导的深度学习有潜力利用结构信息，在精准饲草管理中进行农业性状反演。","European Journal of Agronomy","2026-10-21T00:00:00Z","论文",80,{"impact":57,"substance":17,"depth":18,"authority":210,"freshness":13,"relevant":21,"comment":252},"该研究将作物模型与辐射传输模型耦合生成结构先验，并结合无人机高光谱数据反演苜蓿氮素，方法新颖、田间验证扎实，对精准饲草管理有参考价值，值得进入每日精选。",[254],{"name":247,"url":244},[256,257,258,259,30],"智慧农业","农业人工智能","农业遥感","氮素监测",{"code":39,"slug":40,"name":41,"path":42,"parent_code":43},[262,268],{"code":263,"slug":264,"name":265,"path":266,"parent_code":267},"I3","remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing","I",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},{"status":51,"locked":14,"version":52,"method":53,"evidence":270},{"candidates":271,"agricultural_evidence":58},[272,279,284,289,299],{"code":263,"score":18,"supported":58,"title":273,"abstract":275,"tags":278},[274],"hyperspectral",[276,277,274],"遥感","remote sensing",[258],{"code":39,"score":19,"supported":58,"title":280,"abstract":282,"tags":283},[281],"alfalfa",[60,281],[30],{"code":32,"score":13,"supported":58,"title":285,"abstract":286,"tags":288},[],[62,60,287],"forage",[30],{"code":290,"score":13,"supported":58,"title":291,"abstract":292,"tags":298},"I2",[],[293,294,295,296,297],"深度学习","机器学习","machine learning","deep learning","decision support",[257],{"code":300,"score":21,"supported":14,"title":301,"abstract":302,"tags":303},"I1",[],[],[256],[305,306],"DSSAT PROSAIL 苜蓿 氮素","无人机 高光谱 苜蓿","DSSATPROSAIL苜蓿氮素-5573",0,"10.1016\u002Fj.eja.2026.128375",{"doi":309,"openalex_id":311,"authors":312,"venue":247,"cited_by_count":308,"oa_url":244,"card":331,"direction":335,"ingested_from":337},"W7223154576",[313,315,317,319,321,324,326,329],{"name":314,"orcid":8},"Shuai Fu",{"name":316,"orcid":8},"Yunhao Li",{"name":318,"orcid":8},"Chunli Miao",{"name":320,"orcid":8},"Jie Liu",{"name":322,"orcid":323},"Tiangang Liang","https:\u002F\u002Forcid.org\u002F0000-0001-5599-6587",{"name":325,"orcid":8},"Yongjia Hu",{"name":327,"orcid":328},"Qisheng Feng","https:\u002F\u002Forcid.org\u002F0009-0000-1391-9591",{"name":330,"orcid":8},"吴彩霞",{"tldr":332,"method":333,"finding":334,"direction":335,"opportunity":336},"构建MALENet融合DSSAT-PROSAIL结构先验与无人机高光谱，提升苜蓿氮浓度估算精度。","DSSAT耦合PROSAIL生成合成高光谱先验，预训练CNN-SE网络，再融合田","MALENet精度优于传统机器学习和深度学习模型，R²达0.71，近红外多次散射作为结构代理贡献58","农业遥感与作物表型","可探索将作物模型结构先验迁移至其他牧草或作物生化参数反演，并缓解PROSAIL一维冠层假设局限。","openalex","2026-10-22T11:20:39.622844Z",{"id":340,"title":341,"url":342,"summary":343,"summary_zh":344,"content":8,"source_name":345,"source_url":342,"published_at":346,"category":249,"cover_url":8,"hotness":13,"is_selected":14,"score":347,"score_detail":348,"sources":352,"tags":354,"primary_topic":360,"secondary_topics":361,"classification":363,"search_phrases":422,"slug":425,"view_count":21,"doi":426,"paper":427,"created_at":446},2753,"Pesticide residues in animal feed: emerging risks for animal health and crop production","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1948597","Introduction Pesticides are essential for maximizing crop yields and ensuring food security, yet concerns are growing about their accumulation in the food chain. While human dietary exposure has received considerable attention, pesticide residues in animal feed represent a critical, underexplored pathway that can affect livestock health and crop production through the reuse of contaminated manure. This review examines these emerging risks by focusing on livestock health and the cascading effects on crops. Methods Following PRISMA 2020 guidelines, we systematically searched and synthesized literature addressing: (i) prevalence, types, and concentrations of pesticide residues in feed; (ii) toxicological effects on livestock; and (iii) environmental carryover potential via manure application to soils. Results Residues of major pesticide classes carbamates, organochlorines, organophosphates, and pyrethroids frequently enter feed through treated crops, pre-harvest desiccation, and environmental persistence. While EFSA concludes that typical exposure levels do not pose major acute risks to animal health, significant uncertainties remain regarding chronic low-dose exposures and synergistic effects of multi-residue mixtures on livestock physiology. Evidence on toxicological effects is drawn from a mixture of feed-specific, laboratory-animal, and human studies; the source of evidence for each finding is now explicitly identified throughout the Results (Section 3.3, Table 3). Discussion Experimental and field studies demonstrate that pesticide residues transfer from feed to manure and, subsequently, to soil when manure is used as fertilizer. This circular pathway creates secondary contamination, where residues are taken up by crops, causing phytotoxicity, reduced germination, and diminished performance. These findings underscore the need for strengthened regulatory frameworks addressing cumulative and carryover effects, alongside enhanced monitoring. From a One Health perspective, mitigating these risks requires broader adoption of sustainable practices, including Integrated Pest Management (IPM), safer pre-harvest protocols, and improved manure waste management to break the contamination cycle and protect animal, environmental, and human health.","引言 农药对于最大化作物产量和保障粮食安全至关重要，但人们对其在食物链中蓄积的担忧日益加剧。尽管人类膳食暴露已受到广泛关注，但动物饲料中的农药残留却是一条关键却研究不足的暴露途径，其可通过受污染粪肥的再利用影响畜禽健康与作物生产。本综述聚焦畜禽健康及其对作物的级联效应，审视这些新兴风险。方法 遵循PRISMA 2020指南，我们系统检索并综合了以下方面的文献：(i) 饲料中农药残留的流行率、类型及浓度；(ii) 对畜禽的毒理学效应；(iii) 通过粪肥施用至土壤的环境携带潜力。结果 主要农药类别——氨基甲酸酯类(carbamates)、有机氯类(organochlorines)、有机磷类(organophosphates)和拟除虫菊酯类(pyrethroids)——的残留常通过施用农药的作物、收获前干燥处理及环境持久性进入饲料。尽管欧洲食品安全局(EFSA)认为典型暴露水平不会对动物健康构成重大急性风险，但关于慢性低剂量暴露及多残留混合物对畜禽生理的协同效应仍存在显著不确定性。毒理学效应的证据来自饲料特异性研究、实验室动物研究和人体研究的混合来源；每项发现的证据来源现已在结果部分(第3.3节，表3)中明确标注。讨论 实验与田间研究表明，农药残留从饲料转移至粪肥，随后在粪肥用作肥料时进入土壤。这一循环途径造成二次污染，残留被作物吸收，导致植物毒性、发芽率降低和生长性能下降。这些发现凸显了加强监管框架以应对累积效应和携带效应的必要性，同时需强化监测。从“同一健康”(One Health)视角出发，降低这些风险需要更广泛地采用可持续实践，包括综合病虫害管理(IPM)、更安全的收获前操作规程以及改进粪肥废弃物管理，以打破污染循环，保护动物、环境和人类健康。","Frontiers in Sustainable Food Systems","2026-09-17T00:00:00Z",79,{"impact":18,"substance":349,"depth":350,"authority":65,"freshness":13,"relevant":21,"comment":351},21,17,"系统综述揭示农药残留经饲料—粪肥—土壤的循环污染路径，对畜牧健康与作物生产具警示价值，但属学术综述而非政策或产业级突破。",[353],{"name":345,"url":342},[355,356,357,358,359],"绿色防控","循环农业","饲料安全","One Health","农药残留",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[362],{"code":45,"slug":46,"name":47,"path":48,"parent_code":49},{"status":51,"locked":14,"version":52,"method":53,"evidence":364},{"candidates":365,"agricultural_evidence":58},[366,372,378,385,392,398,405,412,417],{"code":32,"score":19,"supported":58,"title":367,"abstract":369,"tags":371},[368],"animal feed",[370,368],"饲料",[357],{"code":45,"score":19,"supported":58,"title":373,"abstract":375,"tags":377},[374],"pesticide",[376,374],"农药",[355],{"code":379,"score":380,"supported":58,"title":381,"abstract":382,"tags":384},"E4",7,[],[383,359],"食品安全",[359],{"code":386,"score":96,"supported":58,"title":387,"abstract":388,"tags":391},"A8",[],[389,390],"粮食安全","food security",[],{"code":36,"score":96,"supported":58,"title":393,"abstract":394,"tags":397},[],[395,396],"畜禽","livestock",[],{"code":399,"score":96,"supported":58,"title":400,"abstract":401,"tags":404},"F3",[],[402,403],"肥料","fertilizer",[],{"code":406,"score":96,"supported":58,"title":407,"abstract":408,"tags":411},"H2",[],[409,410],"土壤","soil",[],{"code":413,"score":93,"supported":14,"title":414,"abstract":415,"tags":416},"H8",[],[],[356,355],{"code":418,"score":21,"supported":14,"title":419,"abstract":420,"tags":421},"C5",[],[],[358],[423,424],"农药残留 循环农业 绿色防控 饲料安全","农药残留 循环农业","农药残留循环农业绿色防控饲料安全-2753","10.3389\u002Ffsufs.2026.1948597",{"doi":426,"openalex_id":428,"authors":429,"venue":345,"cited_by_count":308,"oa_url":342,"card":440,"direction":444,"ingested_from":337},"W7213471313",[430,432,434,436,438],{"name":431,"orcid":8},"Boubacar Madio dit Aladiogo Maïga",{"name":433,"orcid":8},"Aminata SISSOKO",{"name":435,"orcid":8},"Issiaka Bagayoko",{"name":437,"orcid":8},"Klema Marcel KONE",{"name":439,"orcid":8},"Fousseni Diallo",{"tldr":441,"method":442,"finding":443,"direction":444,"opportunity":445},"系统综述动物饲料中农药残留对畜禽健康及粪肥还田后作物生产的级联风险。","遵循PRISMA 2020系统检索并综合饲料残留、毒理效应与粪肥环境迁移文献。","残留经饲料-粪肥-土壤循环造成二次污染，致作物药害、发芽率与长势下降。","农业绿色发展与碳","可量化饲料-粪肥-作物残留传递系数，构建One Health风险模型并评估IPM干预效果。","2026-09-17T23:30:07.540144Z",{"id":448,"title":449,"url":450,"summary":451,"summary_zh":8,"content":8,"source_name":452,"source_url":8,"published_at":453,"category":454,"cover_url":8,"hotness":13,"is_selected":14,"score":455,"score_detail":456,"sources":458,"tags":460,"primary_topic":466,"secondary_topics":467,"classification":473,"search_phrases":490,"slug":493,"view_count":93,"doi":8,"paper":8,"created_at":494},1668,"沧州盐碱地\"种\"出两项省地方标准：盐碱地梨栽培技术、紫花苜蓿种植与袋式青贮技术","https:\u002F\u002Fwww.cangzhou.gov.cn\u002Fcangzhou\u002Fc100002\u002F202609\u002F6c25653abc2a4318ba939c6772c6df40.shtml","河北省市场监督管理局发布《科技成果权威性竞争性评价规范》等 40 项地方标准。其中沧州市的《盐碱地梨栽培技术规程》和《滨海盐碱地紫花苜蓿种植与袋式青贮技术规程》两项标准入选。规程分别由海兴瑞农农业发展有限公司、河北省农林科学院农业资源环境研究所等多家单位起草，聚焦盐碱地梨园建设、土壤改良、苗木选育、水肥管控等关键环节，破解盐碱地苜蓿出苗难、产量不稳等难题。","沧州市人民政府","2026-09-04T00:00:00Z","政策",73,{"impact":18,"substance":209,"depth":19,"authority":133,"freshness":20,"relevant":21,"comment":457},"沧州两项盐碱地农业技术规程入选省地方标准，具有省级推广价值，技术细节详实。",[459],{"name":452,"url":450},[461,462,463,464,465],"地方标准","苜蓿青贮","盐碱地改良","梨栽培","农业技术",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[468,472],{"code":406,"slug":410,"name":469,"path":470,"parent_code":471},"土壤健康与改良","\u002Ftopic\u002Fenvironment\u002Fsoil","H",{"code":39,"slug":40,"name":41,"path":42,"parent_code":43},{"status":51,"locked":14,"version":52,"method":53,"evidence":474},{"candidates":475,"agricultural_evidence":58},[476,481,486],{"code":32,"score":17,"supported":58,"title":477,"abstract":479,"tags":480},[478,60],"青贮",[478,60],[],{"code":406,"score":19,"supported":58,"title":482,"abstract":484,"tags":485},[483],"盐碱地",[409,483],[463],{"code":39,"score":70,"supported":58,"title":487,"abstract":488,"tags":489},[60],[60],[],[491,492],"盐碱地改良 农业技术 地方标准 苜蓿青贮","盐碱地改良 农业技术","盐碱地改良农业技术地方标准苜蓿青贮-1668","2026-09-05T00:04:35.934739Z"]