[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-442":3,"related-442":65},{"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":36,"classification":43,"search_phrases":60,"slug":63,"view_count":20,"doi":8,"paper":8,"created_at":64},442,"河北省滨海水稻全产业链标准体系构建完成——281项标准+数据立标为环渤海盐碱地提供'河北方案'","https:\u002F\u002Fyule.sohu.com\u002Fa\u002F1061503308_121106842","河北省市场监督管理局重点研发项目《河北省滨海水稻全产业链标准体系构建研究》近日顺利通过专家验收,该项目由河北省标准化研究院牵头,联合河北省农林科学院滨海农业研究所、乐亭县农业农村局、秦皇岛市耕地质量监测保护中心及龙头企业等7家单位协同攻关,历时一年半,为河北省滨海盐碱地水稻'量身定制'了一套覆盖全产业链的标准体系。该项目打破传统'经验定标'模式,创新采用'数据立标'方法,系统梳理1000余项现行标准,最终搭建形成包含281项标准的全产业链标准体系,覆盖产地环境、生产种植、加工仓储、品牌管理、休闲农业全链条。唐山、秦皇岛等河北滨海区域水稻种植面积约84万亩,占全省总面积80%以上,平均亩产650-700公斤。",null,"标准体系的价值在于落地应用。目前，项目成果已从“纸面”走向“实践”。一是线上 “一触即达”。河北省滨海水稻全产业链标准专题库已在河北标准图书馆上线，实现单项标准精准匹配与一键链接，经营主体可便捷查询适用标准，解决了“找标准难”的痛点。二是线下 “试点先行”。在唐山、秦皇岛主产区，体系已在产业链相关单位试点应用，通过“有标贯标、无标补标、低标强标”，实现了从选种、育秧、生产到品牌管理全流程操作。\n\n依托覆盖全产业链的标准供给，滨海水稻产业在稳产、增收、融合发展上实现了协同提升。一是在稳产层面，全链条标准贯穿种植、加工、销售各环节，推动单产与品质稳步提升；二是在增收层面，依托标准推动种养结合模式提质扩面，提高土地单位产出效益，稳定农户种植积极性；三是在融合发展层面，以标准为纽带促进种植、加工、观光、研学、体验协同发展，真正实现“一粒米”串起一条“黄金链” 。\n\n河北滨海水稻全产业链标准体系成功构建不仅可以直接服务唐山、秦皇岛稻区，也可推广复制至环渤海其他盐碱地稻区乃至全国特色农产品领域。下一步，河北省标准化研究院将持续发挥省级科研机构的桥梁纽带作用，主动对接农业农村、监管系统等部门及产业龙头企业，推动体系向标准综合体转化；针对特色产区探索打造示范基地，引导更多的经营主体按标生产、依标管理，提升产品溢价能力。同时，加速标准体系的试点推广与迭代升级，为促进农户增收、农区发展，保障粮食安全、推动盐碱地综合利用和乡村振兴贡献标准化价值。（通讯员张学曼 卢佳佳）","河北经济网 2026-08-08","2026-08-08T00:00:00Z","报道",10,false,73,{"impact":17,"substance":18,"depth":19,"authority":13,"freshness":20,"relevant":21,"comment":22},22,20,16,5,1,"省级农业标准化体系构建，具有产业推广价值，信息具体，但时效性稍差。",[24],{"name":10,"url":6},[26,27,28,29],"盐碱地","河北省农林科学院","滨海水稻","标准体系",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},"A1","rice","水稻","\u002Ftopic\u002Ffield-crops\u002Frice","A",[37],{"code":38,"slug":39,"name":40,"path":41,"parent_code":42},"H2","soil","土壤健康与改良","\u002Ftopic\u002Fenvironment\u002Fsoil","H",{"status":44,"locked":14,"version":45,"method":46,"evidence":47},"classified","2026-10-22.2","rules",{"candidates":48,"agricultural_evidence":51},[49,55],{"code":38,"score":50,"supported":51,"title":52,"abstract":53,"tags":54},12,true,[26],[26],[26],{"code":31,"score":56,"supported":51,"title":57,"abstract":58,"tags":59},11,[33],[33],[],[61,62],"河北省农林科学院 标准体系 滨海水稻 盐碱地","河北省农林科学院 标准体系","河北省农林科学院标准体系滨海水稻盐碱地-442","2026-08-12T23:57:22.603021Z",{"total":66,"page":21,"page_size":66,"items":67},6,[68,157,235,296,358,407],{"id":69,"title":70,"url":71,"summary":72,"summary_zh":73,"content":8,"source_name":74,"source_url":71,"published_at":75,"category":76,"cover_url":8,"hotness":13,"is_selected":14,"score":77,"score_detail":78,"sources":84,"tags":86,"primary_topic":92,"secondary_topics":93,"classification":101,"search_phrases":127,"slug":130,"view_count":131,"doi":132,"paper":133,"created_at":156},4427,"Development of Internet of Things-Based Soil Sensors for pH and Phosphorus Monitoring in Paddy Fields: Development, Accuracy, and Implementation Challenges","https:\u002F\u002Fdoi.org\u002F10.56581\u002Fijrerd.11.05.01-08","The development of Internet of Things (IoT) technology provides opportunities for faster and continuous soil monitoring to support precision agriculture.Monitoring soil pH and phosphorus is important in rice cultivation because both parameters are associated with soil chemical conditions and nutrient availability.This review aimed to examine the development of IoT-based soil sensors for monitoring soil pH and phosphorus, including sensor performance, factors affecting measurement results, and potential applications.A literature review was conducted on research and review articles published between 2019 and 2026.The literature was descriptively analyzed and synthesized based on technological development, sensor performance, and environmental and soil characteristics.The results indicate that pH and phosphorus sensors have been developed using various sensing approaches and have demonstrated promising performance under certain conditions; however, measurement results vary across parameters and soil conditions.Sensor performance is influenced by the sensing principle, soil characteristics, environmental conditions, calibration, and validation.IoT-based sensors have the potential to support real-time soil monitoring, but their application as quantitative measurement tools still requires validation and calibration under diverse soil conditions.","物联网（IoT）技术的发展为实现更快、连续性的土壤监测以支持精准农业提供了机遇。监测土壤pH和磷在水稻种植中具有重要意义，因为这两个参数均与土壤化学状况和养分有效性相关。本综述旨在考察用于监测土壤pH和磷的基于物联网的土壤传感器的发展现状，包括传感器性能、影响测量结果的因素以及潜在应用。本文对2019年至2026年间发表的研究论文和综述文章进行了文献综述。基于技术发展、传感器性能以及环境和土壤特征，对文献进行了描述性分析和综合。结果表明，pH和磷传感器已采用多种传感方法进行开发，并在特定条件下展现出良好性能；然而，测量结果因参数和土壤条件的不同而存在差异。传感器性能受传感原理、土壤特性、环境条件、校准和验证的影响。基于物联网的传感器具有支持实时土壤监测的潜力，但其作为定量测量工具的应用仍需在不同土壤条件下进行验证和校准。","International journal of recent engineering research and development.","2026-10-06T00:00:00Z","论文",62,{"impact":50,"substance":79,"depth":80,"authority":81,"freshness":82,"relevant":21,"comment":83},18,15,9,8,"综述性论文，系统梳理IoT土壤pH与磷传感器的发展、精度与落地挑战，对智慧农业土壤监测方向有参考价值，但非突破性成果。",[85],{"name":74,"url":71},[87,88,89,90,91],"智慧农业","物联网","精准农业","土壤监测","水稻种植",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[94,100],{"code":95,"slug":96,"name":97,"path":98,"parent_code":99},"I5","agricultural-iot","物联网传感与边缘计算","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-iot","I",{"code":38,"slug":39,"name":40,"path":41,"parent_code":42},{"status":44,"locked":14,"version":45,"method":46,"evidence":102},{"candidates":103,"agricultural_evidence":51},[104,110,115,121],{"code":95,"score":79,"supported":51,"title":105,"abstract":107,"tags":109},[106],"internet of things",[88,106,108],"IoT",[88],{"code":31,"score":80,"supported":51,"title":111,"abstract":113,"tags":114},[112],"paddy",[33,32],[91],{"code":38,"score":116,"supported":51,"title":117,"abstract":118,"tags":120},14,[39],[119,39],"土壤",[],{"code":122,"score":82,"supported":51,"title":123,"abstract":124,"tags":126},"I1",[],[89,125],"precision agriculture",[87,89],[128,129],"物联网 土壤传感器 稻田","土壤pH 监测","物联网土壤传感器稻田-4427",2,"10.56581\u002Fijrerd.11.05.01-08",{"doi":132,"openalex_id":134,"authors":135,"venue":74,"cited_by_count":148,"oa_url":71,"card":149,"direction":153,"ingested_from":155},"W7220841659",[136,138,141,143,146],{"name":137,"orcid":8},"Fariha Laqania",{"name":139,"orcid":140},"Oviyanti Mulyani","https:\u002F\u002Forcid.org\u002F0000-0003-3941-8896",{"name":142,"orcid":8},"Ade Setiawan",{"name":144,"orcid":145},"Pujawati Suryatmana","https:\u002F\u002Forcid.org\u002F0000-0002-4012-8645",{"name":147,"orcid":8},"Wahyu Daradjat",0,{"tldr":150,"method":151,"finding":152,"direction":153,"opportunity":154},"综述2019-2026年稻田pH与磷的物联网土壤传感器发展、精度及实施挑战。","文献综述，按技术发展、传感器性能与土壤环境特征归纳分析。","传感器在特定条件下表现良好，但精度受原理、土壤、环境与校准影响，定量应用仍需验证。","智慧农业 \u002F 农业物联网","稻田复杂土壤条件下pH\u002F磷传感器的原位校准与多源数据融合验证是待突破的研究空白。","openalex","2026-10-08T23:30:13.316611Z",{"id":158,"title":159,"url":160,"summary":161,"summary_zh":162,"content":8,"source_name":163,"source_url":160,"published_at":164,"category":76,"cover_url":8,"hotness":13,"is_selected":14,"score":165,"score_detail":166,"sources":169,"tags":171,"primary_topic":177,"secondary_topics":178,"classification":185,"search_phrases":206,"slug":209,"view_count":131,"doi":210,"paper":211,"created_at":234},3792,"Estimation of soil organic carbon under rice-fallow system using Sentinel-2 derivatives","https:\u002F\u002Fdoi.org\u002F10.14719\u002Fpst.11182","The evaluation of soil properties under a century-old traditional rice-fallow practice in highly fragile topography (i.e., hill slopes and lowlands) of North-east (NE) India in the Eastern Himalaya faces multiple challenges in conventional studies of soil properties. Alternatively, remote sensing offers a viable solution. An attempt was made to study the soil organic carbon (SOC) under century old traditional rice-fallow practice in highly fragile topography (i.e., hill slopes and lowlands) of Bhoirymbong, Meghalaya, NE India in Eastern Himalaya using remote sensing indices derived from Sentinel-2. The objective was to develop a suitable regression model for rice-fallow systems across different hill slopes in northeastern India in the Eastern Himalaya. A total of 100 composite soil samples from the 0–15 cm depth were collected from rice-fallow areas on various slopes (nearly level: 0–3 %, gentle: 3–8 %, moderate: 8–15 %, steep: 15–30 % and very steep: > 30 %) during November 2020. Each composite sample was prepared from 10 randomly collected soil samples within a 10 × 10 m area and analysed for SOC using standard protocols in the analytical laboratory of School of Natural Resource Management, College of Post Graduate Studies in Agricultural Sciences, Central Agricultural University, Imphal. Nearly synchronised, cloud-free (\u003C 10 % cloud cover) Sentinel-2 data consistent with soil sampling period were accessed from the US Geological Survey (USGS) official website to derive 15 indices. Results showed that brightness index (BI), BI2 and the soil bareness index (SBI) were the most influential indices for SOC. The highest and lowest SOC values were found in gently undulating topography (2–5 % slope) and rolling topography (10–15 % slope), at 2.86 % and 1.17 %, respectively. After rice crop harvesting, the red-NIR-based indices did not show a significant difference, whereas the green-NIR-based indices were significantly different at p \u003C 0.05. Hence, it is concluded that green-NIR-based indices are the most suitable for SOC prediction in NE India in the Eastern Himalaya.","在印度东北部东喜马拉雅地区高度脆弱的地形（即山坡和低地）下，对百年传统水稻休耕实践下的土壤性质进行评估，在常规土壤性质研究中面临多重挑战。遥感则提供了一种可行的替代方案。本研究尝试利用Sentinel-2衍生的遥感指数，研究印度东北部东喜马拉雅地区梅加拉亚邦Bhoirymbong在高度脆弱地形（即山坡和低地）下百年传统水稻休耕实践中的土壤有机碳（SOC）。目标是建立一个适用于东喜马拉雅地区印度东北部不同山坡水稻休耕系统的合适回归模型。2020年11月，在不同坡度（近水平：0–3%、缓坡：3–8%、中坡：8–15%、陡坡：15–30%和极陡坡：>30%）的水稻休耕区采集了100个0–15 cm深度的复合土壤样品。每个复合样品由10 × 10 m区域内随机采集的10个土壤样品制备而成，并在Central Agricultural University, Imphal农业科学研究生院自然资源管理学院分析实验室采用标准方法分析SOC。从美国地质调查局（USGS）官方网站获取与土壤采样期基本同步、无云（云量\u003C10%）的Sentinel-2数据，以衍生15个指数。结果表明，亮度指数（BI）、BI2和土壤裸露指数（SBI）是对SOC影响最大的指数。SOC最高值和最低值分别出现在缓起伏地形（2–5%坡度）和波状地形（10–15%坡度），分别为2.86%和1.17%。水稻收获后，基于红-近红外的指数未显示出显著差异，而基于绿-近红外的指数在p \u003C 0.05水平上差异显著。因此，得出结论：基于绿-近红外的指数最适合东喜马拉雅地区印度东北部的SOC预测。","Plant Science Today","2026-09-28T00:00:00Z",69,{"impact":50,"substance":18,"depth":19,"authority":167,"freshness":82,"relevant":21,"comment":168},13,"基于Sentinel-2遥感指数估算稻作休耕系统土壤有机碳，方法有新意但属区域案例研究，对国内智慧农业遥感应用有参考价值。",[170],{"name":163,"url":160},[172,173,174,175,176],"数字农业","Sentinel-2","土壤有机碳","遥感监测","水稻休耕",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[179,180],{"code":38,"slug":39,"name":40,"path":41,"parent_code":42},{"code":181,"slug":182,"name":183,"path":184,"parent_code":99},"I3","remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing",{"status":44,"locked":14,"version":45,"method":46,"evidence":186},{"candidates":187,"agricultural_evidence":51},[188,192,196,202],{"code":38,"score":80,"supported":51,"title":189,"abstract":190,"tags":191},[39],[119,39],[174],{"code":31,"score":116,"supported":51,"title":193,"abstract":194,"tags":195},[32],[33,32],[],{"code":181,"score":82,"supported":51,"title":197,"abstract":198,"tags":201},[],[199,200],"遥感","remote sensing",[173,175],{"code":122,"score":21,"supported":14,"title":203,"abstract":204,"tags":205},[],[],[172],[207,208],"印度东北部 水稻休耕 土壤有机碳","Sentinel-2 遥感 土壤有机碳","印度东北部水稻休耕土壤有机碳-3792","10.14719\u002Fpst.11182",{"doi":210,"openalex_id":212,"authors":213,"venue":163,"cited_by_count":148,"oa_url":160,"card":228,"direction":232,"ingested_from":155},"W7214617000",[214,217,219,222,225],{"name":215,"orcid":216},"Janaki Singh Naorem","https:\u002F\u002Forcid.org\u002F0000-0001-9534-0339",{"name":218,"orcid":8},"D Priya",{"name":220,"orcid":221},"Deepak Kumar Dwivedi","https:\u002F\u002Forcid.org\u002F0009-0003-5408-887X",{"name":223,"orcid":224},"J S Rajkumar","https:\u002F\u002Forcid.org\u002F0009-0003-7863-277X",{"name":226,"orcid":227},"Tamang Basant","https:\u002F\u002Forcid.org\u002F0000-0001-6856-7298",{"tldr":229,"method":230,"finding":231,"direction":232,"opportunity":233},"用Sentinel-2指数估算印度东北部稻作休耕系统不同坡度的土壤有机碳。","采集100个0-15cm土样，结合Sentinel-2的15个遥感指数建立回归模","绿光-近红外指数最适合预测SOC，缓坡SOC最高（2.86%），陡坡最低（1.17%）。","农业遥感与作物表型","可探索多时相Sentinel-2与地形因子耦合，提升复杂地形区SOC制图精度与普适性。","2026-09-29T23:30:28.690009Z",{"id":236,"title":237,"url":238,"summary":239,"summary_zh":8,"content":8,"source_name":240,"source_url":238,"published_at":241,"category":76,"cover_url":8,"hotness":13,"is_selected":14,"score":242,"score_detail":243,"sources":245,"tags":247,"primary_topic":250,"secondary_topics":251,"classification":254,"search_phrases":273,"slug":276,"view_count":131,"doi":277,"paper":278,"created_at":295},3500,"Remote sensing-driven soil fertility modelling and summer rice suitability mapping in a floodplain agroecosystem of Assam","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs10333-026-01102-6","Remote sensing-driven soil fertility modelling and summer rice suitability mapping in a floodplain agroecosystem of Assam。Paddy and Water Environment","Paddy and Water Environment","2026-09-24T00:00:00Z",67,{"impact":50,"substance":79,"depth":19,"authority":167,"freshness":82,"relevant":21,"comment":244},"核心期刊论文，遥感驱动土壤肥力建模与水稻适宜性制图，方法有参考价值但属区域案例，未达每日精选门槛。",[246],{"name":240,"url":238},[87,248,199,249,91],"农业信息化","土壤肥力",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[252,253],{"code":38,"slug":39,"name":40,"path":41,"parent_code":42},{"code":181,"slug":182,"name":183,"path":184,"parent_code":99},{"status":44,"locked":14,"version":45,"method":46,"evidence":255},{"candidates":256,"agricultural_evidence":51},[257,261,265,269],{"code":31,"score":80,"supported":51,"title":258,"abstract":259,"tags":260},[32],[32,112],[91],{"code":38,"score":50,"supported":51,"title":262,"abstract":263,"tags":264},[39],[39],[249],{"code":181,"score":50,"supported":51,"title":266,"abstract":267,"tags":268},[200],[200],[199],{"code":122,"score":131,"supported":14,"title":270,"abstract":271,"tags":272},[],[],[248,87],[274,275],"Assam 洪泛平原 水稻 遥感","土壤肥力 遥感 建模","Assam洪泛平原水稻遥感-3500","10.1007\u002Fs10333-026-01102-6",{"doi":277,"openalex_id":279,"authors":280,"venue":240,"cited_by_count":148,"oa_url":8,"card":8,"direction":232,"ingested_from":155},"W7214202229",[281,283,286,288,291,293],{"name":282,"orcid":8},"Pompy Deka",{"name":284,"orcid":285},"Jwngsar Moshahary","https:\u002F\u002Forcid.org\u002F0000-0002-3409-6691",{"name":287,"orcid":8},"Mrinal Choudhury",{"name":289,"orcid":290},"Perves Ahmed","https:\u002F\u002Forcid.org\u002F0000-0002-2114-1043",{"name":292,"orcid":8},"Britan Rahman",{"name":294,"orcid":8},"Ranjit Sarma","2026-09-25T23:30:30.923946Z",{"id":297,"title":298,"url":299,"summary":300,"summary_zh":8,"content":8,"source_name":301,"source_url":8,"published_at":302,"category":12,"cover_url":8,"hotness":13,"is_selected":51,"score":303,"score_detail":304,"sources":308,"tags":310,"primary_topic":316,"secondary_topics":317,"classification":319,"search_phrases":352,"slug":355,"view_count":356,"doi":8,"paper":8,"created_at":357},3219,"盐碱地综合利用国家技术创新中心发布两项重大科研成果——全球首个植物抗逆AI智能体+国内首个耐盐水稻11K液相育种芯片（盐稻芯1号）","http:\u002F\u002Fdyny.dongying.gov.cn\u002Fart\u002F2026\u002F9\u002F20\u002Fart_39177_10312568.html","9-20 东营市农业农村局发布：9-19 盐碱地综合利用国家技术创新中心召开新闻发布会，正式发布全球首个植物抗逆AI智能体与国内首个耐盐水稻11K液相育种芯片（盐稻芯1号）两项重大科研成果。植物抗逆AI智能体聚焦盐碱、干旱、高温、低温四大非生物逆境，以水稻等6个物种为研究核心，整合全球逆境文献与多源科研数据，依托6个AI智能体分工完成资料检索、数据分析、交叉复核、综合研判。耐盐水稻11K液相育种芯片以耐盐多组学证据定向选择位点，相较全基因组重测序成本仅为其三分之一。两项成果由国家盐碱地中心联合中国农业科学院深圳农业基因组研究所、崖州湾国家实验室、山东省农业科学院湿地农业与生态研究所共同研发。","东营市农业农村局","2026-09-20T00:00:00Z",92,{"impact":305,"substance":306,"depth":79,"authority":116,"freshness":81,"relevant":21,"comment":307},27,24,"国家级科研机构发布全球首个植物抗逆AI智能体与国内首个耐盐水稻育种芯片，属种业与农业AI领域重大突破，信息增量与权威性俱佳，值得进入每日精选。",[309],{"name":301,"url":299},[311,312,313,314,315],"农业人工智能","种业振兴","育种芯片","盐碱地治理","耐盐水稻",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[318],{"code":38,"slug":39,"name":40,"path":41,"parent_code":42},{"status":44,"locked":14,"version":45,"method":46,"evidence":320},{"candidates":321,"agricultural_evidence":51},[322,326,330,337,342,347],{"code":38,"score":50,"supported":51,"title":323,"abstract":324,"tags":325},[26],[26],[314],{"code":31,"score":56,"supported":51,"title":327,"abstract":328,"tags":329},[33],[33],[],{"code":331,"score":332,"supported":51,"title":333,"abstract":334,"tags":336},"H7",3,[],[335],"干旱",[],{"code":338,"score":21,"supported":14,"title":339,"abstract":340,"tags":341},"F1",[],[],[312],{"code":343,"score":21,"supported":14,"title":344,"abstract":345,"tags":346},"F2",[],[],[313],{"code":348,"score":21,"supported":14,"title":349,"abstract":350,"tags":351},"I2",[],[],[311],[353,354],"盐碱地国家技术创新中心 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12:29·[大众网东营](https:\u002F\u002Fwww.toutiao.com\u002Fc\u002Fuser\u002Ftoken\u002FMS4wLjABAAAAWwTcI7rcmoH8YQLif34dXgBEonxq4KbS8is4cb7jJBY\u002F?source=tuwen_detail)\n\n**大众网记者 唐梦琳 东营报道**\n\n9月19日，盐碱地综合利用国家技术创新中心（以下简称国家盐碱地中心）在总部举办新闻发布会，正式发布全球首个植物抗逆AI智能体与国内首个耐盐水稻11K液相育种芯片（盐稻芯1号）两项重大科研成果。发布会由中心综合事业部部长石东毅主持，中心副主任杨长军、耐盐碱植物微生物基因挖掘创新团队首席专家商连光发布。会上，杨长军介绍了成果开发背景与意义，商连光发布两项最新研究成果，并回答记者提问。\n\n![Image 1](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-axegupay5k\u002F12aca97dece34ce8b4144483f96daca7~tplv-tt-origin-web:gif.jpeg?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1790467387&x-signature=MUmUvD%2B1WCDEzZ59gn8Ck46C%2F6U%3D)\n据介绍，两项成果由国家盐碱地中心联合中国农业科学院深圳农业基因组研究所、崖州湾国家实验室、山东省农业科学院湿地农业与生态研究所共同研发，以人工智能与分子育种技术深度融合，破解作物抗逆选育难题，为盐碱地综合利用、种业振兴和国家粮食安全注入强劲科技动能。\n\n植物抗逆AI智能体聚焦盐碱、干旱、高温、低温四大非生物逆境，以水稻等6个物种为研究核心，整合全球逆境文献与多源科研数据，依托6个AI 智能体分工完成资料检索、数据分析、交叉复核、综合研判，能够持续迭代学习科研成果，实现从单一胁迫研究向多逆境耦合研究范式升级。植物抗逆AI智能体可智能挖掘抗逆关键基因、显著压缩分子育种研发周期，作物抗逆上研究性能优于通用科研大模型，并将面向全球科研用户开放共享。\n\n与通用芯片按基因组位置均匀布点不同，耐盐水稻11K液相育种芯片（盐稻芯1号）以耐盐多组学证据定向选择位点，改变了耐盐水稻从生育期表型鉴定向苗期基因型选择的育种变革模式。相较全基因组重测序，该芯片成本仅为其三分之一，核心耐盐表型上，预测精度较同类芯片明显提升，育种科研人员可在苗期完成大规模群体耐盐筛选，为解决水稻耐盐研究中生育期和土地条件制约等问题提供了新的途径。\n\n两项成果取得了五个主要显著进展：一是推动研究范式由单一胁迫走向多逆境耦合；二是育种模式由经验筛选转向数据驱动精准选育；三是科研组织由分散探索升级为 AI 智能协同研究；四是芯片标记由全基因组铺点升级为多组学定向锚定；五是利用芯片将育种选择由大田表型鉴定前移至苗期基因型筛选。\n\n下一步，国家盐碱地中心将持续迭代升级植物抗逆AI智能体，丰富多物种、多场景科研数据集，优化算法模型；打通基础研究到育种应用链条，加速抗逆基因挖掘、种质创制和新品种选育；搭建全球逆境科研协同创新网络，深化与FAO、INSAS等国际组织交流合作，汇聚各方科研力量，联合破解植物逆境响应、气候适应性育种、边际土地高效利用等重大科学问题。\n\n发布会现场还介绍了国家盐碱地中心平台建设、人才集聚、科研攻关、成果转化等方面最新建设成效。","大众网·今日头条","2026-09-19T04:29:00Z",{"impact":305,"substance":306,"depth":79,"authority":167,"freshness":13,"relevant":21,"comment":367},"国家级科研机构发布全球首个植物抗逆AI智能体与国内首个耐盐水稻育种芯片，属种业与农业AI领域重大突破，信息增量与时效性俱佳，值得进入每日精选。",[369],{"name":364,"url":361},[311,371,312,313,315],"盐碱地利用",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[374],{"code":38,"slug":39,"name":40,"path":41,"parent_code":42},{"status":44,"locked":14,"version":45,"method":46,"evidence":376},{"candidates":377,"agricultural_evidence":51},[378,382,386,390,394,398],{"code":38,"score":50,"supported":51,"title":379,"abstract":380,"tags":381},[26],[26],[371],{"code":31,"score":56,"supported":51,"title":383,"abstract":384,"tags":385},[33],[33],[],{"code":331,"score":332,"supported":51,"title":387,"abstract":388,"tags":389},[],[335],[],{"code":338,"score":21,"supported":14,"title":391,"abstract":392,"tags":393},[],[],[312],{"code":343,"score":21,"supported":14,"title":395,"abstract":396,"tags":397},[],[],[313],{"code":348,"score":21,"supported":14,"title":399,"abstract":400,"tags":401},[],[],[311],[353,403],"耐盐水稻 盐稻芯1号 液相育种芯片","盐碱地国家技术创新中心植物抗逆AI智能体-2982",4,"2026-09-20T00:03:02.715667Z",{"id":408,"title":409,"url":410,"summary":411,"summary_zh":8,"content":412,"source_name":413,"source_url":8,"published_at":414,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":415,"score_detail":416,"sources":418,"tags":420,"primary_topic":425,"secondary_topics":426,"classification":428,"search_phrases":450,"slug":453,"view_count":21,"doi":8,"paper":8,"created_at":454},2451,"中国农科院生物所创建新型高效固氮解磷工程菌 促进水稻氮磷协同增效(Plant and Soil)","https:\u002F\u002Fbri.caas.cn\u002Fxwdt\u002Fkyjz\u002Ff786bedd9a5744e0ab671dc343671e75.htm","中国农科院生物所农业微生物技术创新组联合河南大学农学院,成功创建一种新型高效固氮解磷工程菌株,能通过氮磷协同增效作用促进宿主水稻生长。团队通过平板解磷实验从具有较强有机磷解能力的假单胞菌基因组中分离鉴定 6 个磷酸酶编码基因,转入根际联合固氮施氏假单胞菌 A1501,获得一系列工程菌株。其中 A15PhoC 解磷能力提高 143.3%。盆栽试验表明接种这 4 种重组菌株均能促进水稻生长,具有显著的氮磷协同增效作用。成果发表在《Plant and Soil》。","### 问天要氮，入地取磷：生物所创建固氮解磷工程菌取得重要进展\n\n近日，中国农业科学院生物技术研究所农业微生物技术创新组联合河南大学农学院，成功创建了一种新型高效固氮解磷工程菌株，能通过氮磷协同增效作用促进宿主水稻的生长。相关成果发表在《植物和土壤（Plant and Soil）》上。\n\n氮和磷是作物增产的关键因素。但自然界中，空气中占比约78%氮素和土壤中占比约99.9%磷素都不能被植物直接利用。构建高效固氮解磷工程菌并应用于农业生产，是当前农业微生物研发的一个重要课题。\n\n团队通过平板解磷实验比较了6株假单胞菌、4株芽孢杆菌和10株土壤细菌卵磷脂水解能力，进一步通过生物信息学分析从具有较强有机磷解能力的三株假单胞菌基因组中，分离鉴定了6个磷酸酶编码基因，将其转入根际联合固氮施氏假单胞菌A1501中后获得一系列工程菌株。经RT-PCR、固氮酶活和生长曲线实验结果表明，磷酸酶均能高效表达，且不影响底盘菌株的生长和固氮能力。钼锑抗比色法测定了纯培养条件下工程菌株的卵磷脂水解能力，结果表明A1510ACP、A15PAALP1、A15NapA和A15PhoC上清液中速效磷含量均显著提高，其中A15PhoC解磷能力提高143.3%。在与水稻共培养实验中，这四个菌株增强了有机磷的水解能力，其中A1510ACP表现出更优的根系定殖能力。盆栽试验结果进一步表明，接种这四种重组菌株均能促进水稻生长，具有显著的氮磷协同增效作用。\n\n![Image 1](https:\u002F\u002Fbri.caas.cn\u002Fimages\u002F2026-09\u002Fc5f5b7b24d5f455480f31e2dd9333ae0.png)\n\n图示：高效固氮解磷工程菌与宿主植物互作及氮磷协同增效\n\n本论文第一作者为生物所毕业硕士生尹长琰，通讯作者为柯秀彬副研究员和林敏研究员。该项目得到国家自然科学基金重点课题和海南种业实验室与中国种子集团有限公司联合项目的资助。","中国农科院生物所 2026-09-12","2026-09-11T16:00:00Z",84,{"impact":17,"substance":17,"depth":79,"authority":116,"freshness":82,"relevant":21,"comment":417},"国家级科研机构在固氮解磷工程菌上取得可量化的氮磷协同增效突破，方法扎实、数据具体，对微生物肥料与绿色种植具有产业参考价值。",[419],{"name":413,"url":410},[33,421,422,423,424],"生物固氮","农业微生物","绿色投入品","减肥增效",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[427],{"code":38,"slug":39,"name":40,"path":41,"parent_code":42},{"status":44,"locked":14,"version":45,"method":46,"evidence":429},{"candidates":430,"agricultural_evidence":51},[431,436,440,445],{"code":38,"score":116,"supported":51,"title":432,"abstract":433,"tags":435},[39],[434,39],"根际",[],{"code":31,"score":50,"supported":51,"title":437,"abstract":438,"tags":439},[33],[33],[33],{"code":441,"score":21,"supported":14,"title":442,"abstract":443,"tags":444},"F3",[],[],[421],{"code":446,"score":21,"supported":14,"title":447,"abstract":448,"tags":449},"H5",[],[],[422],[451,452],"农业微生物 绿色投入品 减肥增效 生物固氮","农业微生物 绿色投入品","农业微生物绿色投入品减肥增效生物固氮-2451","2026-09-15T00:04:21.762786Z"]