[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-1668":3,"related-1668":81},{"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":23,"tags":25,"primary_topic":31,"secondary_topics":37,"classification":50,"search_phrases":75,"slug":78,"view_count":79,"doi":8,"paper":8,"created_at":80},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。",null,"沧州市人民政府","2026-09-04T00:00:00Z","政策",10,false,73,{"impact":16,"substance":17,"depth":18,"authority":19,"freshness":20,"relevant":21,"comment":22},18,20,15,12,8,1,"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。",[24],{"name":9,"url":6},[26,27,28,29,30],"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},"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},"H2","soil","土壤健康与改良","\u002Ftopic\u002Fenvironment\u002Fsoil","H",{"status":51,"locked":13,"version":52,"method":53,"evidence":54},"classified","2026-10-22.2","rules",{"candidates":55,"agricultural_evidence":58},[56,64,70],{"code":32,"score":57,"supported":58,"title":59,"abstract":62,"tags":63},22,true,[60,61],"青贮","苜蓿",[60,61],[],{"code":45,"score":18,"supported":58,"title":65,"abstract":67,"tags":69},[66],"盐碱地",[68,66],"土壤",[28],{"code":39,"score":71,"supported":58,"title":72,"abstract":73,"tags":74},11,[61],[61],[],[76,77],"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",2,"2026-09-05T00:04:35.934739Z",{"total":82,"page":21,"page_size":82,"items":83},6,[84,186,246,303,357,414],{"id":85,"title":86,"url":87,"summary":88,"summary_zh":89,"content":8,"source_name":90,"source_url":87,"published_at":91,"category":92,"cover_url":8,"hotness":12,"is_selected":13,"score":93,"score_detail":94,"sources":98,"tags":100,"primary_topic":106,"secondary_topics":107,"classification":115,"search_phrases":151,"slug":154,"view_count":155,"doi":156,"paper":157,"created_at":185},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":95,"substance":57,"depth":16,"authority":96,"freshness":12,"relevant":21,"comment":97},16,14,"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。",[99],{"name":90,"url":87},[101,102,103,104,105],"智慧农业","农业人工智能","农业遥感","氮素监测","紫花苜蓿",{"code":39,"slug":40,"name":41,"path":42,"parent_code":43},[108,114],{"code":109,"slug":110,"name":111,"path":112,"parent_code":113},"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":13,"version":52,"method":53,"evidence":116},{"candidates":117,"agricultural_evidence":58},[118,125,130,136,146],{"code":109,"score":16,"supported":58,"title":119,"abstract":121,"tags":124},[120],"hyperspectral",[122,123,120],"遥感","remote sensing",[103],{"code":39,"score":18,"supported":58,"title":126,"abstract":128,"tags":129},[127],"alfalfa",[61,127],[105],{"code":32,"score":12,"supported":58,"title":131,"abstract":132,"tags":135},[],[133,61,134],"饲草","forage",[105],{"code":137,"score":12,"supported":58,"title":138,"abstract":139,"tags":145},"I2",[],[140,141,142,143,144],"深度学习","机器学习","machine learning","deep learning","decision support",[102],{"code":147,"score":21,"supported":13,"title":148,"abstract":149,"tags":150},"I1",[],[],[101],[152,153],"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":156,"openalex_id":158,"authors":159,"venue":90,"cited_by_count":155,"oa_url":87,"card":178,"direction":182,"ingested_from":184},"W7223154576",[160,162,164,166,168,171,173,176],{"name":161,"orcid":8},"Shuai Fu",{"name":163,"orcid":8},"Yunhao Li",{"name":165,"orcid":8},"Chunli Miao",{"name":167,"orcid":8},"Jie Liu",{"name":169,"orcid":170},"Tiangang Liang","https:\u002F\u002Forcid.org\u002F0000-0001-5599-6587",{"name":172,"orcid":8},"Yongjia Hu",{"name":174,"orcid":175},"Qisheng Feng","https:\u002F\u002Forcid.org\u002F0009-0000-1391-9591",{"name":177,"orcid":8},"吴彩霞",{"tldr":179,"method":180,"finding":181,"direction":182,"opportunity":183},"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":187,"title":188,"url":189,"summary":190,"summary_zh":8,"content":191,"source_name":192,"source_url":8,"published_at":193,"category":194,"cover_url":8,"hotness":12,"is_selected":13,"score":195,"score_detail":196,"sources":199,"tags":201,"primary_topic":207,"secondary_topics":208,"classification":215,"search_phrases":241,"slug":244,"view_count":21,"doi":8,"paper":8,"created_at":245},5123,"盐碱地里青贮玉米「争气」了 黑龙江省农科院「龙育15」「龙育17」松嫩平原盐碱旱田亩产全株三四吨","https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002F2026-10\u002F16\u002Fcontent_597377.html","黑龙江省农业科学院草业研究所承担的青贮玉米新品种示范推广及产业化应用项目,围绕松嫩平原西部盐碱化旱田选育的「龙育15」「龙育17」两个品种,在盐碱地块上平均增产超一成,亩产全株三四吨,粗淀粉含量达32%。项目组围绕保全苗、稳产量、提品质给种植企业做全流程服务,留茬30公分平衡产量与品质。项目建成1.2万亩高产优质栽培示范,每年在安达市推广3万亩以上,还走进内蒙古等周边饲草产区。千亩套种示范田里玉米垄沟套种燕麦,青贮玉米产量持平,每亩多收600多公斤燕麦,亩增收300多元,燕麦蛋白含量高,混进青贮补齐蛋白短板。","![Image 3](https:\u002F\u002Fstatics.kjrb.com.cn\u002Fresource\u002Fkjw\u002Findex\u002Fimages\u002Fshare_logo.jpg)\n\n[![Image 4](https:\u002F\u002Fstatics.kjrb.com.cn\u002Fresource\u002Fkjw\u002Findex\u002Fimages\u002Flogo.png)](http:\u002F\u002Fwww.stdaily.com\u002F)\n\n*   [时政](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fszxw\u002Fnode_357.html)\n*   [热点](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Frdxw\u002Fnode_327.html)\n*   [政务](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fzwxw\u002Fnode_362.html)\n*   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5](https:\u002F\u002Fstatics.kjrb.com.cn\u002Fresource\u002Fkjw\u002Fimages\u002Ffdj.png)](https:\u002F\u002Fsearch.stdaily.com:8888\u002Ffounder\u002FNewSearchServlet.do?siteID=1)[登录](https:\u002F\u002Fwww.stdaily.com\u002Fapi\u002Fwebsite\u002FpersonalCenter.html?url=https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002F2026-10\u002F16\u002Fcontent_597377.html)[-](https:\u002F\u002Fwww.stdaily.com\u002Fapi\u002Fwebsite\u002FpersonalCenter.html)\n\n 所在位置： [中国科技网首页](https:\u002F\u002Fwww.stdaily.com\u002Findex.html)>[滚动](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002Fnode_324.html)> 正文 \n\n# 盐碱地里，青贮玉米“争气”了\n\n 2026-10-16 15:09:54 来源: 科技日报 点击数：\n\n![Image 6](https:\u002F\u002Fstatics.kjrb.com.cn\u002Fresource\u002Fkjw\u002Fimg\u002F20240301dzv.png)0\n\n[](javascript:; \"新浪微博\")[](javascript:; \"微信\")\n\n**科技日报记者 朱虹**\n\n暮秋的黑龙江省安达市天高云淡，一垄垄盐碱旱田刚翻过土，泛着浅浅的白霜。10月13日，记者跟随黑龙江省农科院草业研究所研究员林红，穿过连片田块，走进安达绿生源现代养殖场。还没进牛舍，一股青贮特有的酸香就扑面而来。黑白花奶牛次第低头，把脑袋埋进食槽，咀嚼声此起彼伏。饲养员抄起一捧青贮料，深绿的茎叶裹着饱满的籽粒，“这就是咱们的‘龙育15’‘龙育17’。”\n\n![Image 7](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002Fpic\u002F2026-10\u002F16\u002F597377_a90e9d31-3cb7-4c4d-b464-ab39a784e19ccopy.jpg)\n\n安达素有“中国牛城”之名，可松嫩平原西部这片土地，盐碱是绕不开的坎。土壤碱化重、地力弱，青贮玉米一度种不出像样的品质，干物质、淀粉指标上不去，优质饲草供不应求，牛越养越“挑食”。能不能在盐碱地里种出合格的青贮玉米，成了当地草畜产业躲不开的考题。而由黑龙江省农科院草业研究所承担的黑龙江省农业科技创新跨越工程项目——青贮玉米新品种示范推广及产业化应用，正是冲着这道题来的。\n\n“高产、优质，适合青贮饲料用途，这是我们选育最核心的标尺。”站在牛舍边，林红介绍，青贮玉米拼的是高淀粉、高干物质，“龙育15”“龙育17”的培育目标就是“产量和品质两头都要”。它们在盐碱地块上，平均增产超一成，亩产全株三四吨，粗淀粉含量能到32%，肉牛吃、长肉快，奶牛吃、奶量高。\n\n良种到手，技术指导一路跟到地头。项目组围绕保全苗、稳产量、提品质，给种植企业做全流程服务。“青贮玉米每亩达不到5000株，高产就没有前提。”林红说，从整地保墒到精准播种，再到田间管护，环环盯紧。\n\n![Image 8](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002Fpic\u002F2026-10\u002F16\u002F597377_a95e303c-16eb-4ad2-bd50-703dac8cdb0acopy.jpg)\n\n最难拿捏的，是收割那一刀。收矮了，产量看着高，可地不平，土跟着卷进饲料，营养也打了折扣；收高了，品质上去了，种植户又心疼收入。此前绿生源养殖场总经理周现平就为这一刀找过项目组。林红最终给出折中方案——留茬30公分，“既保产量，又守品质，现在牧场都认这个数”。牛舍里的青贮窖已经装得满满当当，新收的料压得瓷实，来年开窖，又是一窖好饭。\n\n品种在田里扎根，推广也在向外铺开。“龙育15”“龙育17”两个品种，项目建成1.2万亩高产优质栽培示范，每年在安达市推广3万亩以上，还走进内蒙古等周边饲草产区，带动松嫩平原盐碱化旱田地力提升、绿色高效增收。千亩套种示范田里，项目组在玉米垄沟里套种燕麦，青贮玉米产量和常规种植持平，每亩却多收600多公斤燕麦，亩增收300多元；燕麦蛋白含量高，混进青贮正好补齐蛋白短板，饲料品质和喂饲效果都跟着上了台阶。\n\n一方面，项目把良种良法送进地里；另一方面，企业把产业链拉得更长。绿生源依托自有的一万多亩基地，从种到收，再到加工销售，一气呵成，牛吃不完的青贮还能外销；养殖产生的粪污经处理后还田，反哺盐碱地，把“种好草、养好牛、肥好地”串成了闭环。\n\n夕阳把草料场镀成金色，青贮裹包在田埂边排开，“龙育15”“龙育17”在这扎下根。牛槽里多了料，田里多了收成，松嫩平原的青贮玉米，在这片曾经的薄地上“争气”了。\n\n（科技日报记者 朱虹 摄）\n\n责任编辑：王倩\n\n相关稿件：\n\n![Image 9](https:\u002F\u002Fstatics.kjrb.com.cn\u002Fresource\u002Fkjw\u002Fimages\u002Fpinglun.png)网友评论\n\n评论\n\n最热评论\n\n没有更多评论了\n\n[热点](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Frdxw\u002Fnode_327.html)\n\n[![Image 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日","2026-10-16T00:00:00Z","报道",77,{"impact":16,"substance":17,"depth":95,"authority":96,"freshness":197,"relevant":21,"comment":198},9,"省级科研机构在盐碱旱田推出青贮玉米新品种并配套栽培技术，数据具体、多方信源，具行业推广价值。",[200],{"name":192,"url":189},[202,203,204,205,206],"种业振兴","盐碱地治理","饲草产业","良种良法","青贮玉米",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[209,214],{"code":210,"slug":211,"name":212,"path":213,"parent_code":43},"A3","maize","玉米","\u002Ftopic\u002Ffield-crops\u002Fmaize",{"code":45,"slug":46,"name":47,"path":48,"parent_code":49},{"status":51,"locked":13,"version":52,"method":53,"evidence":216},{"candidates":217,"agricultural_evidence":58},[218,222,226,230,236],{"code":32,"score":95,"supported":58,"title":219,"abstract":220,"tags":221},[60],[133,60],[206,204],{"code":210,"score":19,"supported":58,"title":223,"abstract":224,"tags":225},[212],[212],[206],{"code":45,"score":19,"supported":58,"title":227,"abstract":228,"tags":229},[66],[66],[203],{"code":39,"score":231,"supported":58,"title":232,"abstract":233,"tags":235},4,[],[234],"套种",[204],{"code":237,"score":79,"supported":13,"title":238,"abstract":239,"tags":240},"F1",[],[],[202,205],[242,243],"黑龙江农科院 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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",85,{"impact":57,"substance":57,"depth":16,"authority":18,"freshness":20,"relevant":21,"comment":256},"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。",[258],{"name":252,"url":249},[202,260,105,261,262],"基因编辑","耐除草剂","饲草育种",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[265,266],{"code":39,"slug":40,"name":41,"path":42,"parent_code":43},{"code":267,"slug":268,"name":269,"path":270,"parent_code":271},"F4","crop-protection","农药与绿色防控","\u002Ftopic\u002Finputs-equipment\u002Fcrop-protection","F",{"status":51,"locked":13,"version":52,"method":53,"evidence":273},{"candidates":274,"agricultural_evidence":58},[275,279,283,288,292],{"code":32,"score":18,"supported":58,"title":276,"abstract":277,"tags":278},[61],[133,61],[105],{"code":39,"score":19,"supported":58,"title":280,"abstract":281,"tags":282},[61],[61],[105],{"code":267,"score":71,"supported":58,"title":284,"abstract":286,"tags":287},[285],"除草",[285],[],{"code":237,"score":21,"supported":13,"title":289,"abstract":290,"tags":291},[],[],[202],{"code":293,"score":21,"supported":13,"title":294,"abstract":295,"tags":296},"F2",[],[],[260],[298,299],"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",3,"2026-10-06T00:05:01.723992Z",{"id":304,"title":305,"url":306,"summary":307,"summary_zh":8,"content":308,"source_name":309,"source_url":8,"published_at":310,"category":194,"cover_url":8,"hotness":311,"is_selected":13,"score":254,"score_detail":312,"sources":315,"tags":322,"primary_topic":325,"secondary_topics":326,"classification":329,"search_phrases":352,"slug":355,"view_count":21,"doi":8,"paper":8,"created_at":356},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":313,"substance":57,"depth":95,"authority":18,"freshness":20,"relevant":21,"comment":314},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。",[316,317,319],{"name":309,"url":306},{"name":318,"url":249},"中国科学报·2026年10月4日",{"name":320,"url":321},"中国科学报 2026-10-04","https:\u002F\u002Fnews.sciencenet.cn\u002Fhtmlnews\u002F2026\u002F10\u002F572493.shtm",[202,323,260,105,324],"生物育种","除草剂抗性",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[327,328],{"code":39,"slug":40,"name":41,"path":42,"parent_code":43},{"code":267,"slug":268,"name":269,"path":270,"parent_code":271},{"status":51,"locked":13,"version":52,"method":53,"evidence":330},{"candidates":331,"agricultural_evidence":58},[332,336,340,344,348],{"code":32,"score":18,"supported":58,"title":333,"abstract":334,"tags":335},[61],[133,61],[105],{"code":39,"score":19,"supported":58,"title":337,"abstract":338,"tags":339},[61],[61],[105],{"code":267,"score":71,"supported":58,"title":341,"abstract":342,"tags":343},[285],[285],[],{"code":293,"score":79,"supported":13,"title":345,"abstract":346,"tags":347},[],[],[260,323],{"code":237,"score":21,"supported":13,"title":349,"abstract":350,"tags":351},[],[],[202],[353,354],"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":358,"title":359,"url":360,"summary":361,"summary_zh":8,"content":8,"source_name":362,"source_url":360,"published_at":310,"category":92,"cover_url":8,"hotness":12,"is_selected":13,"score":363,"score_detail":364,"sources":367,"tags":369,"primary_topic":373,"secondary_topics":374,"classification":377,"search_phrases":402,"slug":405,"view_count":21,"doi":406,"paper":407,"created_at":413},4084,"Integrating Crop Rotation and Remote Sensing to Assess Soil and Water Conservation in Organic Soils of the Everglades Agricultural Area","https:\u002F\u002Fdoi.org\u002F10.13140\u002Frg.2.2.31332.74887","Integrating Crop Rotation and Remote Sensing to Assess Soil and Water Conservation in Organic Soils of the Everglades Agricultural Area。OpenAlex","OpenAlex",68,{"impact":19,"substance":16,"depth":95,"authority":365,"freshness":197,"relevant":21,"comment":366},13,"该论文将轮作与遥感结合评估有机土壤水土保持，方法有创新且数据可靠，但属区域研究，影响范围有限，时效性强，值得关注。",[368],{"name":362,"url":360},[101,370,122,371,372],"轮作","水土保持","有机土壤",{"code":39,"slug":40,"name":41,"path":42,"parent_code":43},[375,376],{"code":109,"slug":110,"name":111,"path":112,"parent_code":113},{"code":45,"slug":46,"name":47,"path":48,"parent_code":49},{"status":51,"locked":13,"version":52,"method":53,"evidence":378},{"candidates":379,"agricultural_evidence":58},[380,385,389,393,398],{"code":39,"score":19,"supported":58,"title":381,"abstract":383,"tags":384},[382],"crop rotation",[382],[370],{"code":109,"score":19,"supported":58,"title":386,"abstract":387,"tags":388},[123],[123],[122],{"code":45,"score":71,"supported":58,"title":390,"abstract":391,"tags":392},[46],[46],[],{"code":394,"score":21,"supported":13,"title":395,"abstract":396,"tags":397},"H6",[],[],[371],{"code":147,"score":21,"supported":13,"title":399,"abstract":400,"tags":401},[],[],[101],[403,404],"Everglades 农业区 遥感 轮作","有机土壤 水土保持 遥感","Everglades农业区遥感轮作-4084","10.13140\u002Frg.2.2.31332.74887",{"doi":406,"openalex_id":408,"authors":409,"venue":8,"cited_by_count":155,"oa_url":360,"card":8,"direction":182,"ingested_from":184},"W7216417358",[410],{"name":411,"orcid":412},"Bivek Bhusal","https:\u002F\u002Forcid.org\u002F0009-0001-6408-0033","2026-10-03T23:30:32.356375Z",{"id":415,"title":416,"url":417,"summary":418,"summary_zh":419,"content":8,"source_name":420,"source_url":417,"published_at":421,"category":92,"cover_url":8,"hotness":12,"is_selected":13,"score":93,"score_detail":422,"sources":425,"tags":427,"primary_topic":432,"secondary_topics":433,"classification":435,"search_phrases":485,"slug":488,"view_count":21,"doi":489,"paper":490,"created_at":513},3767,"Alfalfa-mediated phytoremediation and soil restoration for sustainable cereal and fruit crop production: a review of roles, detoxification mechanisms, nitrogen enhancement, and agroecological integration","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1963157","Soil contamination by heavy metals, petroleum hydrocarbons, and excessive agrochemical inputs, coupled with declining soil fertility, poses a major threat to sustainable cereal and fruit production and global food security. This review synthesizes evidence from peer-reviewed studies published between 2000 and 2026 to evaluate the multifunctional role of alfalfa ( Medicago sativa L.) as a biological soil engineer for phytoremediation, soil restoration, and sustainable agricultural intensification. The reviewed evidence indicates that alfalfa can contribute to the remediation of contaminated soils through phytoextraction, phytostabilization, and rhizosphere-mediated degradation of organic pollutants, while simultaneously improving soil fertility through biological nitrogen fixation (BNF). Its deep and extensive root system can enhance soil structure, aggregation, water-holding capacity, and soil organic carbon, while promoting beneficial microbial communities, nutrient cycling, and suppression of soil-borne pathogens. In cereal-based systems, these processes may reduce contaminant bioavailability, decrease dependence on synthetic fertilizers, and improve the productivity and resilience of subsequent crops. In fruit-based systems, including orchards and perennial cropping systems, alfalfa can provide additional benefits through intercropping or cover-cropping, including nitrogen inputs, improved soil moisture conservation, enhanced soil biological activity, and potential economic returns. However, the accumulation of contaminants in alfalfa biomass remains an important food- and feed-safety concern, highlighting the need for rigorous contaminant monitoring and appropriate biomass management. Emerging approaches, including targeted microbial inoculation, biochar amendments, intercropping strategies, and gene-editing technologies, may further improve remediation efficiency and agroecosystem sustainability. Overall, integrating alfalfa into cereal- and fruit-based production systems represents a promising nature-based approach for restoring degraded soils, improving soil resilience, reducing external inputs, and supporting sustainable crop production. Future research should prioritize long-term, multi-site field studies to evaluate remediation performance, contaminant mass balances, plant–microbe interactions, biomass safety, and the long-term productivity of cereal and fruit production systems.","重金属、石油烃和过量农用化学品投入造成的土壤污染，加之土壤肥力下降，对可持续的谷类与水果生产及全球粮食安全构成重大威胁。本综述综合了2000年至2026年间发表的同行评审研究证据，评估紫花苜蓿（Medicago sativa L.）作为生物土壤工程师在植物修复、土壤恢复和可持续农业集约化中的多功能作用。所综述的证据表明，紫花苜蓿可通过植物提取、植物稳定和根际介导的有机污染物降解促进污染土壤的修复，同时通过生物固氮（BNF）提高土壤肥力。其深而广泛的根系能够改善土壤结构、团聚体、持水能力和土壤有机碳，同时促进有益微生物群落、养分循环并抑制土传病原菌。在谷类作物系统中，这些过程可降低污染物的生物有效性，减少对合成肥料的依赖，并提高后茬作物的生产力和韧性。在水果系统中，包括果园和多年生种植系统，紫花苜蓿可通过间作或覆盖作物提供额外效益，包括氮输入、改善土壤保水、增强土壤生物活性以及潜在的经济回报。然而，紫花苜蓿生物量中污染物的积累仍是一个重要的食品和饲料安全问题，凸显了严格污染物监测和适当生物量管理的必要性。新兴方法，包括定向微生物接种、生物炭改良、间作策略和基因编辑技术，可能进一步提高修复效率和农业生态系统可持续性。总体而言，将紫花苜蓿纳入谷类和水果生产系统，代表了一种有前景的基于自然的途径，用于恢复退化土壤、提高土壤韧性、减少外部投入并支持可持续作物生产。未来研究应优先开展长期、多地点田间研究，以评估修复性能、污染物质量平衡、植物–微生物相互作用、生物量安全性以及谷类和水果生产系统的长期生产力。","Frontiers in Sustainable Food Systems","2026-09-28T00:00:00Z",{"impact":16,"substance":423,"depth":16,"authority":96,"freshness":197,"relevant":21,"comment":424},21,"系统综述紫花苜蓿在污染土壤修复与农田可持续生产中的多功能作用，对绿色农业与土壤治理有参考价值，但属综述类论文，非重大突破。",[426],{"name":420,"url":417},[428,429,105,430,431],"绿色农业","生物固氮","土壤修复","重金属污染",{"code":39,"slug":40,"name":41,"path":42,"parent_code":43},[434],{"code":45,"slug":46,"name":47,"path":48,"parent_code":49},{"status":51,"locked":13,"version":52,"method":53,"evidence":436},{"candidates":437,"agricultural_evidence":58},[438,445,451,457,464,470,476,480],{"code":45,"score":439,"supported":58,"title":440,"abstract":441,"tags":444},19,[46],[68,442,46,443],"根际","rhizosphere",[430,431],{"code":39,"score":16,"supported":58,"title":446,"abstract":447,"tags":450},[127],[448,61,449,127],"间作","intercropping",[105],{"code":32,"score":452,"supported":58,"title":453,"abstract":454,"tags":456},7,[],[455,61],"饲料",[105],{"code":458,"score":82,"supported":58,"title":459,"abstract":460,"tags":463},"A8",[],[461,462],"粮食安全","food security",[],{"code":465,"score":231,"supported":58,"title":466,"abstract":467,"tags":469},"F3",[],[468],"肥料",[429],{"code":471,"score":231,"supported":58,"title":472,"abstract":473,"tags":475},"H8",[],[474],"可持续农业",[428],{"code":293,"score":301,"supported":58,"title":477,"abstract":478,"tags":479},[],[260],[],{"code":394,"score":301,"supported":58,"title":481,"abstract":482,"tags":484},[],[483],"农业生态",[],[486,487],"紫花苜蓿 土壤修复 重金属","苜蓿 间作 果园 固氮","紫花苜蓿土壤修复重金属-3767","10.3389\u002Ffsufs.2026.1963157",{"doi":489,"openalex_id":491,"authors":492,"venue":420,"cited_by_count":155,"oa_url":417,"card":507,"direction":511,"ingested_from":184},"W7214674081",[493,495,497,499,501,503,505],{"name":494,"orcid":8},"E. Igwe",{"name":496,"orcid":8},"S. Diakite",{"name":498,"orcid":8},"B. Y. Konyannik",{"name":500,"orcid":8},"E. Tarvids",{"name":502,"orcid":8},"N. Y. Rebouh",{"name":504,"orcid":8},"D. O. Kapralova",{"name":506,"orcid":8},"P. E. Norman",{"tldr":508,"method":509,"finding":510,"direction":511,"opportunity":512},"综述紫花苜蓿通过植物修复与土壤恢复支撑谷类与果树可持续生产的多功能作用。","综述2000–2026年同行评议文献，聚焦植物提取、根际降解、生物固氮与间作。","苜蓿可修复污染土壤、固氮增碳并改善结构，但生物量污染物累积带来食饲安全风险。","农业绿色发展与碳","可研究苜蓿-微生物-生物炭联合修复的长期田间效果及污染物质量平衡与生物量安全处置。","2026-09-29T23:30:07.577120Z"]