[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-1483":3,"related-1483":77},{"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":24,"tags":26,"primary_topic":32,"secondary_topics":38,"classification":45,"search_phrases":72,"slug":75,"view_count":22,"doi":8,"paper":8,"created_at":76},1483,"广东农科院揭阳分院科技全链护航揭阳农业：盐碱地耐盐碱水稻喜获丰收、旱稻亩产突破 1000 斤","https:\u002F\u002Fk.sina.com.cn\u002Farticle_5787187353_158f1789902002846g.html","广东省农业科学院揭阳分院依托省农科院人才、科技和品种优势，深耕揭阳农业发展实际，以\"新品种、新技术、新模式、新农人\"为四大抓手，形成\"良种良法破单产瓶颈、一年三熟挖冬种潜力\"的科技兴农模式。在揭西县凤江镇鸿江村撂荒地，推荐高产稳产型水稻品种黄华油占和胜优 19 香，7 月喜获丰收；在普宁市南径镇 100 亩旱地，推荐耐旱型水稻品种南桂占和旱优 73，旱稻平均亩产突破 1000 斤；在榕城区地都镇推广示范耐盐碱水稻广红三号、金丝优 98 香等。",null,"乡村振兴，农业为基，科技为翼。作为赋能揭阳农业转型升级、筑牢区域粮食安全防线的核心科创力量，广东省农业科学院揭阳分院（以下简称“揭阳分院”）依托省农科院人才、科技和品种优势，深耕揭阳农业发展实际，以“新品种、新技术、新模式、新农人”为四大抓手，精准落地系列科创举措与惠民服务，形成了“良种良法破单产瓶颈，一年三熟挖冬种潜力”的科技兴农模式，为揭阳农业提质增效与乡村全面振兴注入强劲科技动能。\n\n![Image 1](https:\u002F\u002Fk.sinaimg.cn\u002Fn\u002Fsinakd20260901s\u002F350\u002Fw690h460\u002F20260901\u002F6066-4a6dde54d7f4ecaf5210517cc654848c.jpg\u002Fw700d1q75cms.jpg?by=cms_fixed_width)\n\n栾鑫（中）与农业技术人员在田间调研水稻合理密植技术。\n\n精准施策科学推进\n\n复耕复种成效显著\n\n撂荒地复耕复种是稳定粮食生产、守牢耕地红线的重点任务。“撂荒地复耕复种，需根据土地实际情况制定技术方案，总体原则是‘宜水则水、宜旱则旱’。”广东省农科院水稻研究所副研究员、广东农科院揭阳分院办公室主任栾鑫介绍，比如，对于耕作条件好、有水源保障的撂荒地，推荐种植水稻；对于没有水源保障、灌溉条件不便利的地块，推荐种植耐旱型水稻品种，并配套相应的种植技术；对于盐碱地，则推荐种植耐盐碱水稻。\n\n![Image 2](https:\u002F\u002Fk.sinaimg.cn\u002Fn\u002Fsinakd20260901s\u002F407\u002Fw690h517\u002F20260901\u002F4fe0-38ecfb4e309cee70cfed6f020c8ec5f6.jpg\u002Fw700d1q75cms.jpg?by=cms_fixed_width)\n\n地都镇基地是盐碱地，种植耐盐碱水稻后，喜获丰收。\n\n在揭西县凤江镇鸿江村，揭阳分院技术团队研判一块80多亩的撂荒地复耕后，可能存在漏水或保水性不好的问题，本着稳产为先的原则，推荐高产稳产型水稻品种黄华油占和胜优19香。为了在第一年复耕就让土地产生效益、避免再次撂荒，团队同时种植两个品种进行对比。今年7月，这片曾经杂草丛生的撂荒地稻浪翻滚，喜获丰收。\n\n针对没有灌溉条件的旱地，揭阳分院也有“良方”。在普宁市南径镇，有一块约100亩的撂荒地地势较高，没有引水灌溉条件。团队推荐了耐旱型水稻品种南桂占和旱优73。“这两个品种种植过程中田间无需建立水层，依靠自然降雨就可完成整个生长周期。”栾鑫介绍。7月24日，种植户苏先生高兴地打来电话，旱稻平均亩产突破1000斤。这块撂荒地的综合整治也获得普宁和揭阳两级农业部门的高度认可。\n\n对于特殊土地条件，揭阳分院同样有精准方案。在揭阳市榕城区地都镇榕江入海口一带，土壤盐度高达4‰左右，普通水稻难以种植。揭阳分院技术团队在此推广示范种植耐盐碱水稻广红三号、金丝优98香、春华优0533和金丝优馥香占。夏收期间，4个品种均有较好的产量表现，有力提振了种植户的种粮信心。\n\n“农业种植，特别是撂荒地复耕复种，一定要因时、因地制宜，灵活处理，不能机械地照搬照用。”在介绍撂荒地整治过程中揭阳分院的经验时，栾鑫说。通过精准施策，目前，揭阳市榕城区、揭西凤江镇和灰寨镇、普宁南径镇等地的重点区域撂荒地复耕复种工作已取得阶段性成效，不仅增加了粮食种植面积，也为全市盘活闲置耕地资源提供了可推广的技术样板。\n\n![Image 3](https:\u002F\u002Fk.sinaimg.cn\u002Fn\u002Fsinakd20260901s\u002F350\u002Fw690h460\u002F20260901\u002Fb717-b390d5c1382e92233c0360c9171740b8.jpg\u002Fw700d1q75cms.jpg?by=cms_fixed_width)\n\n揭西龙潭镇基地开展“稻稻麦”种植，3月小麦测产验收，全年三种亩产粮食超1500公斤。\n\n大力推广良种良法\n\n持续培训共育人才\n\n种业是农业的“芯片”，技术是增产的关键。作为粮食生产标杆型建设分院，揭阳分院围绕新品种引进和新技术推广持续发力，同时不遗余力培养基层农技人才，为揭阳农业打造“带不走的科技团队”。\n\n栾鑫介绍，早季揭阳分院引进了省农科院的水稻新品种（系），在田间展示的有70多个；同时引进了4个荔枝品种、5个香蕉品种、十多个葡萄品种、15个火龙果品种，以及甜玉米、番薯、东寮芋头等众多作物新品种。今年5月初，在揭阳分院、揭阳市农科所、驻惠来东陇镇农村科技特派员团队等机构与惠来县华胜农业发展有限公司共建的示范基地，优质甘薯“普薯32号”高效栽培技术通过测产验收，核心示范区甘薯鲜薯平均亩产达7200斤，最高亩产近9000斤，较当地传统种植模式亩产增产20%以上，优质商品薯率八成以上，让小甘薯成为群众致富的“黄金薯”。\n\n新技术推广方面，今年以来，揭阳分院重点围绕大宗粮食作物，特别是水稻合理密植技术、稻稻麦一年三熟制模式进行推广。粤东地区水稻合理密植技术是揭阳分院、省农科院水稻研究所和揭阳农科所团队总结的一套具有粤东特色、针对性和实用性兼备的水稻增产技术方案，通过该技术，可实现“每亩多播一斤种，少施十斤肥，每亩增收100元”。“这项技术2025年获得了省长专项支持，两年来通过‘农技下基层服务月’活动在揭阳全市巡回培训全域推广，目前已在粤东地区广泛应用。”栾鑫介绍。揭阳分院围绕粤东地区冬闲田利用率偏低的痛点，系统探索“稻稻+”周年高效种植模式，示范推广“稻稻麦”“稻稻油”“稻稻马铃薯”“稻稻紫云英”等多种模式，已成为保障粮食安全、推动农业绿色发展的重要抓手。\n\n在新合作模式探索方面，揭阳分院积极推进院地校多方合作，和莞揭指挥部、揭阳市农业农村局、东莞市农科中心、揭阳农科所和东莞理工学院等多家单位紧密协作，依托莞揭农场项目，采用“1+1+N”模式（1个创新中心、1个展示平台、遍布揭阳的N个示范基地）赋能揭阳农业产业，目前已在20个镇村设立推广示范基地。作为创新中心策源地的莞揭联合实验室已建成投用，将聚焦新品种培育、分子检测，以及结合揭阳番薯、芋头产业开展脱毒苗生产研究。\n\n“乡村振兴、产业帮扶，归根结底，还是要培养一批当地留得住的专业技术人才。”栾鑫说。2023年初栾鑫到揭阳分院，拿出自己的3万元工作经费成立了揭阳分院“授渔”培训班，至今已举办110场培训，累计培训基层农业科技人员5927人次，有力推动了揭阳农业人才的培养。揭阳分院还通过合作机制，将基层科技人员送到省农科院开展为期半年的跟班学习，目前已派出10人完成学习，有效提升了基层科技人员的专业能力。\n\n![Image 4](https:\u002F\u002Fk.sinaimg.cn\u002Fn\u002Fsinakd20260901s\u002F407\u002Fw690h517\u002F20260901\u002F64f1-8ee342489aa6afcd1d6547e362df619c.jpg\u002Fw700d1q75cms.jpg?by=cms_fixed_width)\n\n“授渔”培训班上，栾鑫介绍水稻合理密植技术。\n\n虫口夺粮防灾减损\n\n全链服务护航增收\n\n农业生产面临自然风险与市场风险的双重考验。揭阳分院坚持“早研判、早预警、早干预”的工作思路，在病虫害防控和自然灾害应对中主动作为，全力护航粮食安全和产业效益。\n\n今年春季偏暖少雨，越冬虫口基数大，病虫害易早发。春耕伊始，揭阳市农业农村局联合揭阳分院启动“农技下基层服务月”活动，聚焦品种选择、育秧管理、合理密植、肥水调控、病虫害绿色防控、撂荒地复耕复种等八大核心内容，专家团队先后走进揭西县、普宁市、揭东区、惠来县和榕城区等地重点粮食生产镇村，采取“集中授课+现场指导”模式，将实用技术送到田间地头，20余场次累计培训农户及基层农技人员200多人次。5月13日，栾鑫还参加了揭阳市农业农村局召开的全市“虫口夺粮”会议，提出精准防控与科学水肥管理建议，为全市打好“虫口夺粮”主动仗提供有力技术支撑。\n\n面对突发的台风、强降雨等自然灾害，揭阳分院驻点人员同样冲在一线。今年“龙舟水”和台风暴雨来势汹汹，惠来县的水稻、百香果、龙眼等生产面临严峻考验。揭阳分院多次与驻华湖镇、隆江镇和东陇镇农村科技特派员团队联合行动，下沉田间地头，开展灾后农业技术帮扶，并手把手指导农户操作，守护了灾后复产“技术防线”。\n\n从撂荒地复耕复种到新品种新技术落地推广，从农技培训课堂到灾后田间“急救”，揭阳分院以硬核科技赋能粮食安全保障、特色产业升级、农户增收致富，持续为揭阳农业高质量发展和乡村全面振兴注入源源不断的科创力量。\n\n![Image 5](https:\u002F\u002Fk.sinaimg.cn\u002Fn\u002Fsinakd20260901s\u002F283\u002Fw1440h2043\u002F20260901\u002Ff404-5e31f834009fbb32df004ff38dfe0c69.jpg\u002Fw700d1q75cms.jpg?by=cms_fixed_width)\n\n■采写：新快报记者 方 轶\n\n特别声明：以上文章内容仅代表作者本人观点，不代表新浪网观点或立场。如有关于作品内容、版权或其它问题请于作品发表后的30日内与新浪网联系。","新浪新闻（南方+）","2026-09-02T00:00:00Z","报道",10,false,69,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},18,20,16,8,7,1,"报道广东农科院揭阳分院以科技赋能揭阳农业，涵盖耐盐碱水稻、旱稻亩产突破等具体成果，信息详实，具有省级农业科技推广价值。",[25],{"name":10,"url":6},[27,28,29,30,31],"粮食安全","耐盐碱水稻","旱稻","撂荒地复耕","科技兴农",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},"A1","rice","水稻","\u002Ftopic\u002Ffield-crops\u002Frice","A",[39],{"code":40,"slug":41,"name":42,"path":43,"parent_code":44},"H2","soil","土壤健康与改良","\u002Ftopic\u002Fenvironment\u002Fsoil","H",{"status":46,"locked":14,"version":47,"method":48,"evidence":49},"classified","2026-10-22.2","rules",{"candidates":50,"agricultural_evidence":53},[51,57,62,67],{"code":33,"score":52,"supported":53,"title":54,"abstract":55,"tags":56},12,true,[35],[35],[28],{"code":40,"score":20,"supported":53,"title":58,"abstract":60,"tags":61},[59],"盐碱地",[],[],{"code":63,"score":22,"supported":14,"title":64,"abstract":65,"tags":66},"A8",[],[],[27],{"code":68,"score":22,"supported":14,"title":69,"abstract":70,"tags":71},"G1",[],[],[31],[73,74],"撂荒地复耕 耐盐碱水稻 科技兴农 粮食安全","撂荒地复耕 耐盐碱水稻","撂荒地复耕耐盐碱水稻科技兴农粮食安全-1483","2026-09-03T00:06:42.583646Z",{"total":78,"page":22,"page_size":78,"items":79},6,[80,167,244,305,367,416],{"id":81,"title":82,"url":83,"summary":84,"summary_zh":85,"content":8,"source_name":86,"source_url":83,"published_at":87,"category":88,"cover_url":8,"hotness":13,"is_selected":14,"score":89,"score_detail":90,"sources":94,"tags":96,"primary_topic":102,"secondary_topics":103,"classification":111,"search_phrases":137,"slug":140,"view_count":141,"doi":142,"paper":143,"created_at":166},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":52,"substance":17,"depth":91,"authority":92,"freshness":20,"relevant":22,"comment":93},15,9,"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。",[95],{"name":86,"url":83},[97,98,99,100,101],"智慧农业","物联网","精准农业","土壤监测","水稻种植",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[104,110],{"code":105,"slug":106,"name":107,"path":108,"parent_code":109},"I5","agricultural-iot","物联网传感与边缘计算","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-iot","I",{"code":40,"slug":41,"name":42,"path":43,"parent_code":44},{"status":46,"locked":14,"version":47,"method":48,"evidence":112},{"candidates":113,"agricultural_evidence":53},[114,120,125,131],{"code":105,"score":17,"supported":53,"title":115,"abstract":117,"tags":119},[116],"internet of things",[98,116,118],"IoT",[98],{"code":33,"score":91,"supported":53,"title":121,"abstract":123,"tags":124},[122],"paddy",[35,34],[101],{"code":40,"score":126,"supported":53,"title":127,"abstract":128,"tags":130},14,[41],[129,41],"土壤",[],{"code":132,"score":20,"supported":53,"title":133,"abstract":134,"tags":136},"I1",[],[99,135],"precision agriculture",[97,99],[138,139],"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":142,"openalex_id":144,"authors":145,"venue":86,"cited_by_count":158,"oa_url":83,"card":159,"direction":163,"ingested_from":165},"W7220841659",[146,148,151,153,156],{"name":147,"orcid":8},"Fariha Laqania",{"name":149,"orcid":150},"Oviyanti Mulyani","https:\u002F\u002Forcid.org\u002F0000-0003-3941-8896",{"name":152,"orcid":8},"Ade Setiawan",{"name":154,"orcid":155},"Pujawati Suryatmana","https:\u002F\u002Forcid.org\u002F0000-0002-4012-8645",{"name":157,"orcid":8},"Wahyu Daradjat",0,{"tldr":160,"method":161,"finding":162,"direction":163,"opportunity":164},"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":168,"title":169,"url":170,"summary":171,"summary_zh":172,"content":8,"source_name":173,"source_url":170,"published_at":174,"category":88,"cover_url":8,"hotness":13,"is_selected":14,"score":15,"score_detail":175,"sources":178,"tags":180,"primary_topic":186,"secondary_topics":187,"classification":194,"search_phrases":215,"slug":218,"view_count":141,"doi":219,"paper":220,"created_at":243},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",{"impact":52,"substance":18,"depth":19,"authority":176,"freshness":20,"relevant":22,"comment":177},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。",[179],{"name":173,"url":170},[181,182,183,184,185],"数字农业","Sentinel-2","土壤有机碳","遥感监测","水稻休耕",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[188,189],{"code":40,"slug":41,"name":42,"path":43,"parent_code":44},{"code":190,"slug":191,"name":192,"path":193,"parent_code":109},"I3","remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing",{"status":46,"locked":14,"version":47,"method":48,"evidence":195},{"candidates":196,"agricultural_evidence":53},[197,201,205,211],{"code":40,"score":91,"supported":53,"title":198,"abstract":199,"tags":200},[41],[129,41],[183],{"code":33,"score":126,"supported":53,"title":202,"abstract":203,"tags":204},[34],[35,34],[],{"code":190,"score":20,"supported":53,"title":206,"abstract":207,"tags":210},[],[208,209],"遥感","remote sensing",[182,184],{"code":132,"score":22,"supported":14,"title":212,"abstract":213,"tags":214},[],[],[181],[216,217],"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":219,"openalex_id":221,"authors":222,"venue":173,"cited_by_count":158,"oa_url":170,"card":237,"direction":241,"ingested_from":165},"W7214617000",[223,226,228,231,234],{"name":224,"orcid":225},"Janaki Singh Naorem","https:\u002F\u002Forcid.org\u002F0000-0001-9534-0339",{"name":227,"orcid":8},"D Priya",{"name":229,"orcid":230},"Deepak Kumar Dwivedi","https:\u002F\u002Forcid.org\u002F0009-0003-5408-887X",{"name":232,"orcid":233},"J S Rajkumar","https:\u002F\u002Forcid.org\u002F0009-0003-7863-277X",{"name":235,"orcid":236},"Tamang Basant","https:\u002F\u002Forcid.org\u002F0000-0001-6856-7298",{"tldr":238,"method":239,"finding":240,"direction":241,"opportunity":242},"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":245,"title":246,"url":247,"summary":248,"summary_zh":8,"content":8,"source_name":249,"source_url":247,"published_at":250,"category":88,"cover_url":8,"hotness":13,"is_selected":14,"score":251,"score_detail":252,"sources":254,"tags":256,"primary_topic":259,"secondary_topics":260,"classification":263,"search_phrases":282,"slug":285,"view_count":141,"doi":286,"paper":287,"created_at":304},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":52,"substance":17,"depth":19,"authority":176,"freshness":20,"relevant":22,"comment":253},"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。",[255],{"name":249,"url":247},[97,257,208,258,101],"农业信息化","土壤肥力",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[261,262],{"code":40,"slug":41,"name":42,"path":43,"parent_code":44},{"code":190,"slug":191,"name":192,"path":193,"parent_code":109},{"status":46,"locked":14,"version":47,"method":48,"evidence":264},{"candidates":265,"agricultural_evidence":53},[266,270,274,278],{"code":33,"score":91,"supported":53,"title":267,"abstract":268,"tags":269},[34],[34,122],[101],{"code":40,"score":52,"supported":53,"title":271,"abstract":272,"tags":273},[41],[41],[258],{"code":190,"score":52,"supported":53,"title":275,"abstract":276,"tags":277},[209],[209],[208],{"code":132,"score":141,"supported":14,"title":279,"abstract":280,"tags":281},[],[],[257,97],[283,284],"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":286,"openalex_id":288,"authors":289,"venue":249,"cited_by_count":158,"oa_url":8,"card":8,"direction":241,"ingested_from":165},"W7214202229",[290,292,295,297,300,302],{"name":291,"orcid":8},"Pompy Deka",{"name":293,"orcid":294},"Jwngsar Moshahary","https:\u002F\u002Forcid.org\u002F0000-0002-3409-6691",{"name":296,"orcid":8},"Mrinal Choudhury",{"name":298,"orcid":299},"Perves Ahmed","https:\u002F\u002Forcid.org\u002F0000-0002-2114-1043",{"name":301,"orcid":8},"Britan Rahman",{"name":303,"orcid":8},"Ranjit Sarma","2026-09-25T23:30:30.923946Z",{"id":306,"title":307,"url":308,"summary":309,"summary_zh":8,"content":8,"source_name":310,"source_url":8,"published_at":311,"category":12,"cover_url":8,"hotness":13,"is_selected":53,"score":312,"score_detail":313,"sources":317,"tags":319,"primary_topic":325,"secondary_topics":326,"classification":328,"search_phrases":362,"slug":365,"view_count":21,"doi":8,"paper":8,"created_at":366},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":314,"substance":315,"depth":17,"authority":126,"freshness":92,"relevant":22,"comment":316},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。",[318],{"name":310,"url":308},[320,321,322,323,324],"农业人工智能","种业振兴","育种芯片","盐碱地治理","耐盐水稻",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[327],{"code":40,"slug":41,"name":42,"path":43,"parent_code":44},{"status":46,"locked":14,"version":47,"method":48,"evidence":329},{"candidates":330,"agricultural_evidence":53},[331,335,340,347,352,357],{"code":40,"score":52,"supported":53,"title":332,"abstract":333,"tags":334},[59],[59],[323],{"code":33,"score":336,"supported":53,"title":337,"abstract":338,"tags":339},11,[35],[35],[],{"code":341,"score":342,"supported":53,"title":343,"abstract":344,"tags":346},"H7",3,[],[345],"干旱",[],{"code":348,"score":22,"supported":14,"title":349,"abstract":350,"tags":351},"F1",[],[],[321],{"code":353,"score":22,"supported":14,"title":354,"abstract":355,"tags":356},"F2",[],[],[322],{"code":358,"score":22,"supported":14,"title":359,"abstract":360,"tags":361},"I2",[],[],[320],[363,364],"盐碱地国家技术创新中心 植物抗逆AI智能体","盐稻芯1号 耐盐水稻育种芯片","盐碱地国家技术创新中心植物抗逆AI智能体-3219","2026-09-23T00:04:29.516454Z",{"id":368,"title":369,"url":370,"summary":371,"summary_zh":8,"content":372,"source_name":373,"source_url":8,"published_at":374,"category":12,"cover_url":8,"hotness":13,"is_selected":53,"score":312,"score_detail":375,"sources":377,"tags":379,"primary_topic":381,"secondary_topics":382,"classification":384,"search_phrases":411,"slug":413,"view_count":414,"doi":8,"paper":8,"created_at":415},2982,"盐碱地综合利用国家技术创新中心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）","https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7687098876901212710","国家盐碱地中心9-19在总部举办新闻发布会发布两项重大科研成果：全球首个植物抗逆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，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；国内首个耐盐水稻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，成本仅全基因组重测序三分之一。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。","## 两大科研成果重磅发布！盐碱地综合利用国家技术创新中心解锁抗逆育种智能新范式\n\n2026-09-19 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":314,"substance":315,"depth":17,"authority":176,"freshness":13,"relevant":22,"comment":376},"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。",[378],{"name":373,"url":370},[320,380,321,322,324],"盐碱地利用",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[383],{"code":40,"slug":41,"name":42,"path":43,"parent_code":44},{"status":46,"locked":14,"version":47,"method":48,"evidence":385},{"candidates":386,"agricultural_evidence":53},[387,391,395,399,403,407],{"code":40,"score":52,"supported":53,"title":388,"abstract":389,"tags":390},[59],[59],[380],{"code":33,"score":336,"supported":53,"title":392,"abstract":393,"tags":394},[35],[35],[],{"code":341,"score":342,"supported":53,"title":396,"abstract":397,"tags":398},[],[345],[],{"code":348,"score":22,"supported":14,"title":400,"abstract":401,"tags":402},[],[],[321],{"code":353,"score":22,"supported":14,"title":404,"abstract":405,"tags":406},[],[],[322],{"code":358,"score":22,"supported":14,"title":408,"abstract":409,"tags":410},[],[],[320],[363,412],"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":417,"title":418,"url":419,"summary":420,"summary_zh":8,"content":421,"source_name":422,"source_url":8,"published_at":423,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":424,"score_detail":425,"sources":428,"tags":430,"primary_topic":435,"secondary_topics":436,"classification":438,"search_phrases":460,"slug":463,"view_count":22,"doi":8,"paper":8,"created_at":464},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":426,"substance":426,"depth":17,"authority":126,"freshness":20,"relevant":22,"comment":427},22,"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。",[429],{"name":422,"url":419},[35,431,432,433,434],"生物固氮","农业微生物","绿色投入品","减肥增效",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[437],{"code":40,"slug":41,"name":42,"path":43,"parent_code":44},{"status":46,"locked":14,"version":47,"method":48,"evidence":439},{"candidates":440,"agricultural_evidence":53},[441,446,450,455],{"code":40,"score":126,"supported":53,"title":442,"abstract":443,"tags":445},[41],[444,41],"根际",[],{"code":33,"score":52,"supported":53,"title":447,"abstract":448,"tags":449},[35],[35],[35],{"code":451,"score":22,"supported":14,"title":452,"abstract":453,"tags":454},"F3",[],[],[431],{"code":456,"score":22,"supported":14,"title":457,"abstract":458,"tags":459},"H5",[],[],[432],[461,462],"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"]