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保护视力色：\n\n2026年10月12日，我院的安徽省财政农业科技成果转化项目“粮油农文旅融合集成技术转化应用”，在黄山市休宁县商山镇荪田村实施的水稻新品种“银月丝苗”百亩示范片进行现场测产验收。该项目由农业机械装备与工程所牵头、联合水稻研究所共同实施。\n\n专家组听取了实施情况汇报，实地考察了项目示范片并机收测产。示范片面积331亩，种植了水稻新品种“银月丝苗”，配套应用了水稻机直播、机插同步侧深施肥、稻田杂草绿色防控、优质稻病虫害绿色防控等绿色高产优质栽培技术。示范片处于黄熟期，专家组随机选取代表性田块，实收折算干谷亩产达605.2公斤。示范片单产比去年黄山市统计的水稻平均亩产460.0公斤高出145.2公斤，增产幅度达31.6%，远超项目增产50公斤的预期目标。\n\n示范片田间生长整齐平衡，熟相好，未发现明显病虫草害，充分展现了该品种高产、优质、抗倒伏能力较强的综合优势，项目区生态环境优良，稻米产量高、品质优，同时展现了稻丰田园的大地景观，为游客初秋乡村旅游和美食体验提供了良好去处。","安徽省农业科学院 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ʱ䣺2026\u002F10\u002F16171\n\nΪӿӽˮƷƹӦãƶ֡أ1011գԺڳɶۯٰۯۺվӽˮƷְĶƬֳĦջᡣʡũԺйרҡҵҵֲ󻧲μӡ\n\nĿصչʾԺѡһӽ“872”ĶƬʾԺƽоԱ͸Ʒԡ༼Ҫ㼰ϲνģʽֳ⡣λ﹡ʵز쿴ƷֵҶ̬ṹͿ֣ΧɹӦúͻеֲЧʵȷ˽ֲ󻧽ֲ飬϶ƷڿԺͻӦԷ֣ڳٲ“872”ĶƬֳʵƽĶ635еЧ2.1%ҵҵֲ󻧾͸ƷֵĽһƹ˶ԽǢ̸\n\n˴λͨ“—ҵ—ֲ”ƽ̨ѡֱָۡѧһԺΧˮֲЧӿ߲ʡ࿹˻Ʒֵɸѡչʾ׼ɣֱչʾ“”ںϵЧDZӶƹӦá","四川省农业科学院 2026-10-16",64,{"impact":361,"substance":584,"depth":416,"authority":675,"freshness":408,"relevant":455,"comment":770},"省级科研机构水稻新品种百亩连片实收测产，数据具体、有示范推广价值，但属区域性进展，时效稍旧。",[772],{"name":767,"url":764},[210,589,774,775],"粮食单产","新品种示范",{"code":208,"slug":209,"name":210,"path":211,"parent_code":200},[],{"status":597,"locked":581,"version":4,"method":598,"evidence":779},{"candidates":780,"agricultural_evidence":603},[781,786,791],{"code":208,"score":647,"supported":603,"title":782,"abstract":783,"tags":785},[],[210,784],"杂交稻",[210],{"code":112,"score":700,"supported":603,"title":787,"abstract":788,"tags":790},[],[789],"机械化",[],{"code":80,"score":455,"supported":581,"title":792,"abstract":793,"tags":794},[],[],[589],[796,797],"花香优872 水稻","四川省农科院 花香优872 测产","花香优872水稻-5444","2026-10-21T00:10:01.936262Z",{"id":801,"title":802,"url":803,"summary":804,"summary_zh":11,"content":805,"source_name":733,"source_url":11,"published_at":579,"category":580,"cover_url":11,"hotness":385,"is_selected":581,"score":806,"score_detail":807,"sources":810,"tags":812,"primary_topic":816,"secondary_topics":817,"classification":818,"search_phrases":833,"slug":836,"view_count":424,"doi":11,"paper":11,"created_at":837},5434,"湖南农科院牵头创制「爽1S」高异交率不育系 刷新杂交水稻大面积制种世界纪录","https:\u002F\u002Fnew.qq.com\u002Frain\u002Fa\u002F20261019A039C800","湖南省农科院牵头、联合多家单位在绥宁县武阳镇打造 200 亩爽两优 138 超高产制种示范片，采用「一行父本搭配十一行母本」模式使母本占比达 8 分地以上，9 月 7 日经专家测产验收，制种平均亩产达 530.4 公斤，首次突破千斤大关，创下杂交水稻大面积制种高产世界纪录。此前我国杂交水稻制种平均亩产长期徘徊在 160 公斤左右。团队还创建「双亲双优、双大双小」优质高产协同提升技术体系，已选育爽两优系列品种 30 多个，一级优质米占 10% 以上。","window.DATA = 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leaf=\\\"\\\"\\u003e邓华凤，杂交水稻专家、温敏型两系法杂交水稻奠基人。现任国家杂交水稻工程技术研究中心主任，国家耐盐碱水稻技术创新中心首席科学家，中国作物学会水稻产业分会副理事长。曾任湖南省农业科学院副院长。\\u003c\u002Fspan\\u003e\\u003c\u002Fp\\u003e\\u003c\u002Fsection\\u003e\\u003c\u002Fsection\\u003e\\u003c\u002Fsection\\u003e\\u003c\u002Fsection\\u003e\\u003c\u002Fsection\\u003e\\u003c\u002Fsection\\u003e\\u003csection data-id=\\\"165052\\\" data-pm-slice=\\\"0 0 []\\\" data-role=\\\"title\\\" data-tools=\\\"135编辑器\\\"\\u003e\\u003csection style=\\\"display: flex; justify-content: center; margin: 10px auto\\\"\\u003e\\u003csection\\u003e\\u003csection style=\\\"align-items: flex-end; display: flex; justify-content: center\\\"\\u003e\\u003csection style=\\\"flex-shrink: 0; margin-right: -16px\\\"\\u003e\\u003csection data-ignore-width=\\\"\\\" nodeleaf=\\\"\\\" style=\\\"box-sizing: border-box; width: 35px\\\"\\u003e\\u003cimg alt=\\\"图片\\\" class=\\\"rich_pages wxw-img\\\" data-aistatus=\\\"1\\\" data-imgfileid=\\\"503731682\\\" data-ratio=\\\"1.0462962962962963\\\" 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letter-spacing: 1px\\\" textstyle=\\\"\\\"\\u003e平均亩产达\\u003c\u002Fspan\\u003e\\u003c\u002Fspan\\u003e\\u003cspan leaf=\\\"\\\" style=\\\"color: rgba(0, 0, 0, 0.9); font-size: 17px; font-style: normal; font-weight: normal; letter-spacing: 0.034em\\\"\\u003e\\u003cspan style=\\\"font-size: 17px; letter-spacing: 1px\\\" textstyle=\\\"\\\"\\u003e530.4\\u003c\u002Fspan\\u003e\\u003c\u002Fspan\\u003e\\u003cspan leaf=\\\"\\\" style=\\\"color: rgba(0, 0, 0, 0.9); font-size: 17px; font-style: normal; font-weight: normal; letter-spacing: 0.034em\\\"\\u003e\\u003cspan style=\\\"font-size: 17px; letter-spacing: 1px\\\" textstyle=\\\"\\\"\\u003e公斤，\\u003c\u002Fspan\\u003e\\u003c\u002Fspan\\u003e\\u003cb\\u003e\\u003cspan leaf=\\\"\\\" style=\\\"color: rgba(0, 0, 0, 0.9); font-size: 17px; font-style: normal; font-weight: normal; letter-spacing: 0.034em; line-height: 1.75em; text-align: justify\\\"\\u003e\\u003cspan style=\\\"color: rgb(0, 122, 170); font-size: 17px; font-weight: bold; letter-spacing: 1px\\\" textstyle=\\\"\\\"\\u003e首次突破\\u003c\u002Fspan\\u003e\\u003c\u002Fspan\\u003e\\u003cspan leaf=\\\"\\\" style=\\\"color: rgba(0, 0, 0, 0.9); font-size: 17px; font-style: normal; font-weight: normal; letter-spacing: 0.034em\\\"\\u003e\\u003cspan style=\\\"color: rgb(0, 122, 170); font-size: 17px; font-weight: bold; letter-spacing: 1px\\\" textstyle=\\\"\\\"\\u003e1000\\u003c\u002Fspan\\u003e\\u003c\u002Fspan\\u003e\\u003cspan leaf=\\\"\\\" style=\\\"color: rgba(0, 0, 0, 0.9); font-size: 17px; font-style: normal; font-weight: normal; letter-spacing: 0.034em\\\"\\u003e\\u003cspan style=\\\"color: rgb(0, 122, 170); font-size: 17px; font-weight: bold; letter-spacing: 1px\\\" textstyle=\\\"\\\"\\u003e斤大关，创下杂交水稻大面积制种高产新的世界纪录。\\u003c\u002Fspan\\u003e\\u003c\u002Fspan\\u003e\\u003c\u002Fb\\u003e\\u003c\u002Fp\\u003e\\u003csection nodeleaf=\\\"\\\" style=\\\"margin-left: 8px; margin-right: 8px; text-align: center\\\"\\u003e\\u003c!--IMG_3--\\u003e\\u003c\u002Fsection\\u003e\\u003cp style=\\\"line-height: 1.75em; margin-left: 8px; margin-right: 8px; text-align: justify\\\"\\u003e\\u003cspan leaf=\\\"\\\" style=\\\"color: rgba(0, 0, 0, 0.9); font-size: 17px; font-style: normal; font-weight: normal; letter-spacing: 0.034em\\\"\\u003e\\u003cspan style=\\\"font-size: 17px; letter-spacing: 1px\\\" textstyle=\\\"\\\"\\u003e当天，恰逢袁隆平诞辰\\u003c\u002Fspan\\u003e\\u003c\u002Fspan\\u003e\\u003cspan leaf=\\\"\\\" style=\\\"color: rgba(0, 0, 0, 0.9); font-size: 17px; font-style: normal; font-weight: normal; letter-spacing: 0.034em\\\"\\u003e\\u003cspan style=\\\"font-size: 17px; letter-spacing: 1px\\\" textstyle=\\\"\\\"\\u003e96\\u003c\u002Fspan\\u003e\\u003c\u002Fspan\\u003e\\u003cspan leaf=\\\"\\\" style=\\\"color: rgba(0, 0, 0, 0.9); font-size: 17px; font-style: normal; font-weight: normal; letter-spacing: 0.034em\\\"\\u003e\\u003cspan style=\\\"font-size: 17px; letter-spacing: 1px\\\" textstyle=\\\"\\\"\\u003e周年。站在稻田边，邓华凤把这份纪录看作送给老师的“生日礼物”。\\u003c\u002Fspan\\u003e\\u003c\u002Fspan\\u003e\\u003c\u002Fp\\u003e\\u003cp style=\\\"line-height: 1.75em; margin-left: 8px; margin-right: 8px; text-align: justify\\\"\\u003e\\u003cb style=\\\"color: rgba(0, 0, 0, 0.9); font-size: 17px; font-style: normal; font-weight: normal; letter-spacing: 0.034em; line-height: 1.75em; text-align: justify\\\"\\u003e\\u003cspan leaf=\\\"\\\" style=\\\"color: rgba(0, 0, 0, 0.9); font-size: 17px; font-style: normal; font-weight: normal; letter-spacing: 0.034em; line-height: 1.75em; text-align: justify\\\"\\u003e\\u003cspan style=\\\"color: rgb(0, 122, 170); font-size: 17px; font-weight: bold; letter-spacing: 1px\\\" textstyle=\\\"\\\"\\u003e杂交水稻的制种亩产跟普通水稻亩产是两个不同概念。\\u003c\u002Fspan\\u003e\\u003c\u002Fspan\\u003e\\u003c\u002Fb\\u003e\\u003cspan leaf=\\\"\\\" style=\\\"color: rgba(0, 0, 0, 0.9); font-size: 17px; font-style: normal; font-weight: normal; letter-spacing: 0.034em\\\"\\u003e\\u003cspan style=\\\"font-size: 17px; letter-spacing: 1px\\\" textstyle=\\\"\\\"\\u003e普通水稻种下去是“收粮食”，全田种植同一品种，依靠自花授粉结实，我国大田大面积种植亩产普遍可达\\u003c\u002Fspan\\u003e\\u003c\u002Fspan\\u003e\\u003cspan leaf=\\\"\\\" style=\\\"color: rgba(0, 0, 0, 0.9); font-size: 17px; font-style: normal; font-weight: normal; letter-spacing: 0.034em\\\"\\u003e\\u003cspan style=\\\"font-size: 17px; letter-spacing: 1px\\\" textstyle=\\\"\\\"\\u003e600\\u003c\u002Fspan\\u003e\\u003c\u002Fspan\\u003e\\u003cspan leaf=\\\"\\\" style=\\\"color: rgba(0, 0, 0, 0.9); font-size: 17px; font-style: normal; font-weight: normal; letter-spacing: 0.034em\\\"\\u003e\\u003cspan style=\\\"font-size: 17px; letter-spacing: 1px\\\" textstyle=\\\"\\\"\\u003e至\\u003c\u002Fspan\\u003e\\u003c\u002Fspan\\u003e\\u003cspan leaf=\\\"\\\" style=\\\"color: rgba(0, 0, 0, 0.9); font-size: 17px; font-style: normal; font-weight: normal; letter-spacing: 0.034em\\\"\\u003e\\u003cspan style=\\\"font-size: 17px; letter-spacing: 1px\\\" textstyle=\\\"\\\"\\u003e800\\u003c\u002Fspan\\u003e\\u003c\u002Fspan\\u003e\\u\n[…全文已截断…]",83,{"impact":808,"substance":508,"depth":584,"authority":416,"freshness":173,"relevant":455,"comment":809},27,"国家级科研机构牵头创制高异交率不育系并刷新制种世界纪录，属种业领域重大突破，信息增量与权威性俱佳，值得进入每日精选。",[811],{"name":733,"url":803},[589,590,813,814,815],"杂交水稻","邓华凤","制种技术",{"code":208,"slug":209,"name":210,"path":211,"parent_code":200},[],{"status":597,"locked":581,"version":4,"method":598,"evidence":819},{"candidates":820,"agricultural_evidence":603},[821,825,829],{"code":208,"score":416,"supported":603,"title":822,"abstract":823,"tags":824},[210],[210],[813],{"code":263,"score":455,"supported":581,"title":826,"abstract":827,"tags":828},[],[],[590],{"code":80,"score":455,"supported":581,"title":830,"abstract":831,"tags":832},[],[],[589],[834,835],"湖南农科院 爽1S 不育系","杂交水稻 制种 世界纪录","湖南农科院爽1S不育系-5434","2026-10-21T00:10:01.123927Z",{"id":839,"title":840,"url":841,"summary":842,"summary_zh":11,"content":843,"source_name":844,"source_url":11,"published_at":845,"category":580,"cover_url":11,"hotness":385,"is_selected":581,"score":846,"score_detail":847,"sources":849,"tags":851,"primary_topic":855,"secondary_topics":856,"classification":858,"search_phrases":879,"slug":882,"view_count":424,"doi":11,"paper":11,"created_at":883},5432,"广东农科院水稻所主办 2026 年再生稻技术培训和现场观摩会在始兴举行","https:\u002F\u002Fnews.sciencenet.cn\u002Fhtmlnews\u002F2026\u002F10\u002F573077.shtm","广东省农业科学院水稻研究所主办的 2026 年再生稻技术培训和现场观摩会在韶关市始兴县举行，面向粤北「一季有余、两季不足」光温受限区域挖掘周年粮食产能。始兴县澄江镇善亨村 750 亩再生稻示范基地在省农科院水稻所、省农技推广中心和省水稻产业技术体系技术支撑下实行标准化种植，集中展示多个优质稻、杂交稻品种并开展品种对比试验。近年来始兴再生稻已连续 3 年实现头季、再生季两季亩产突破「吨粮」。","广东省农业技术推广中心种植业技术与种业推广部部长罗学梅在总结中充分肯定再生稻项目取得的技术突破和示范成效，并就下一阶段强化技术指导、完善示范推广体系、推动再生稻扩大应用等工作作出部署。他指出，要进一步加强科研、推广、种业和种植主体协同联动，加快适宜品种、先进技术和标准模式落地，为稳定粮食生产提供有力支撑。\n\n随后，与会人员前往始兴县澄江镇善亨村750亩再生稻示范基地开展现场观摩。该基地在广东省农业科学院水稻研究所、广东省农业技术推广中心以及广东省水稻产业技术体系的技术支撑下实行标准化种植，集中展示多个优质稻、杂交稻品种，并开展品种对比试验。技术人员走进田间，结合不同品种长势，围绕品种筛选、栽培管理、促芽肥施用、病虫害防控和机械化收割等关键环节进行讲解，并面对面解答参会人员提出的生产问题。\n\n参训人员沿着田埂仔细察看苗情和穗型，认真听取田间讲解，踊跃交流技术要点，现场学习氛围浓厚。此次活动将室内授课与田间教学有机结合，进一步提升了基层农技人员和种植主体对再生稻技术的认识，增强了推广应用信心。与会人员表示，将结合本地生产实际，把学习成果转化为田间管理措施，积极提升再生稻种植水平。\n\n版权声明：凡本网注明“来源：中国科学报、科学网、科学新闻杂志”的所有作品，网站转载，请在正文上方注明来源和作者，且不得对内容作实质性改动；微信公众号、头条号等新媒体平台，转载请联系授权。邮箱：shouquan@stimes.cn。","科学网 2026-10-17","2026-10-17T00:00:00Z",58,{"impact":584,"substance":675,"depth":524,"authority":416,"freshness":676,"relevant":455,"comment":848},"省级科研机构主办的再生稻技术培训与田间观摩，有示范基地和品种对比等实质内容，但属常规推广活动，影响力限于区域。",[850],{"name":844,"url":841},[852,210,591,853,854],"广东","农技推广","粮食生产",{"code":208,"slug":209,"name":210,"path":211,"parent_code":200},[857],{"code":488,"slug":489,"name":490,"path":491,"parent_code":480},{"status":597,"locked":581,"version":4,"method":598,"evidence":859},{"candidates":860,"agricultural_evidence":603},[861,865,870,875],{"code":208,"score":808,"supported":603,"title":862,"abstract":863,"tags":864},[210,591],[210,784,591],[591,210],{"code":488,"score":735,"supported":603,"title":866,"abstract":868,"tags":869},[867],"技术培训",[853,867],[853],{"code":263,"score":400,"supported":603,"title":871,"abstract":872,"tags":874},[],[873],"粮食产能",[854],{"code":200,"score":455,"supported":581,"title":876,"abstract":877,"tags":878},[],[],[854],[880,881],"广东农科院 再生稻 始兴","再生稻 技术培训 观摩会","广东农科院再生稻始兴-5432","2026-10-21T00:10:01.007510Z",{"id":885,"title":886,"url":887,"summary":888,"summary_zh":11,"content":889,"source_name":890,"source_url":11,"published_at":891,"category":580,"cover_url":11,"hotness":385,"is_selected":603,"score":892,"score_detail":893,"sources":895,"tags":897,"primary_topic":903,"secondary_topics":904,"classification":905,"search_phrases":920,"slug":923,"view_count":455,"doi":11,"paper":11,"created_at":924},5422,"中国农科院发布AI 智能体「绿洲」 助力植物抗逆研究登上《Molecular Plant》","https:\u002F\u002Fwww.caas.cn\u002Fxwzx\u002Fkyhd\u002F28164b3f0e7f4996a5749892288670bc.htm","中国农业科学院农业基因组研究所超级稻种质创新团队联合国内科研单位发布 AI 智能体「绿洲」，能自动查阅植物抗逆研究领域的海量文献和科研数据，帮助研究人员快速找到值得实验验证的新线索，成果发表在《Molecular Plant》。该智能体模拟科研团队协作流程，通过多个智能体协同自主完成资料检索、数据分析和结果核查。团队借此筛选出多个水稻耐盐候选基因，经实验验证其中一个与水稻耐盐响应相关，为作物抗逆改良提供了人工智能辅助工具。","近日，中国农业科学院农业基因组研究所超级稻种质创新团队联合国内科研单位发布了AI智能体“绿洲”。该智能体能自动查阅植物抗逆研究领域的海量文献和科研数据，帮助研究人员快速找到值得实验验证的新线索。相关研究成果发表在《分子植物（Molecular Plant）》上。\n\n植物抗逆研究涉及海量的文献和生物数据，如何从复杂信息中快速发现关键线索并提出可验证假设一直是研究难点。\n\n研究团队开发了一套模拟科研团队协作流程的智能系统，通过多个智能体协同，可自主完成资料检索、数据分析和结果核查，并在任务反馈中不断优化。研究团队借助该系统成功筛选出多个水稻耐盐候选基因，经实验验证，其中一个候选基因与水稻耐盐响应相关，展现了人工智能辅助植物抗逆研究的应用潜力。该研究为植物抗逆机制研究和作物抗逆改良提供辅助工具。\n\n该研究得到国家重点研发计划、国家自然科学基金、中国农业科学院科技创新工程等项目资助。（通讯员  马昕怡）","中国农业科学院 2026-10-20","2026-10-20T00:00:00Z",89,{"impact":602,"substance":321,"depth":361,"authority":735,"freshness":385,"relevant":455,"comment":894},"国家级科研机构发布AI科研智能体并登上核心期刊，方法新颖、结论经实验验证，具备行业示范价值，值得进入每日精选。",[896],{"name":890,"url":887},[898,899,900,901,902],"农业人工智能","智能育种","AI智能体","植物抗逆","水稻耐盐",{"code":208,"slug":209,"name":210,"path":211,"parent_code":200},[],{"status":597,"locked":581,"version":4,"method":598,"evidence":906},{"candidates":907,"agricultural_evidence":603},[908,912,916],{"code":208,"score":700,"supported":603,"title":909,"abstract":910,"tags":911},[],[210],[],{"code":24,"score":69,"supported":581,"title":913,"abstract":914,"tags":915},[],[],[900,898],{"code":88,"score":455,"supported":581,"title":917,"abstract":918,"tags":919},[],[],[899],[921,922],"中国农科院 绿洲 智能体","水稻 耐盐 候选基因","中国农科院绿洲智能体-5422","2026-10-21T00:10:00.076699Z",{"id":926,"title":927,"url":928,"summary":929,"summary_zh":11,"content":930,"source_name":890,"source_url":11,"published_at":891,"category":580,"cover_url":11,"hotness":385,"is_selected":581,"score":253,"score_detail":931,"sources":933,"tags":935,"primary_topic":939,"secondary_topics":940,"classification":941,"search_phrases":961,"slug":964,"view_count":424,"doi":11,"paper":11,"created_at":965},5421,"中国农科院解析水稻粒型与品质关联调控机制 成果刊发《高级研究杂志》","https:\u002F\u002Fiqstap.caas.cn\u002Fxwdt\u002Fkydt\u002Fbbd73fa0772d4e408e0054a40896a68a.htm","中国农业科学院农业质量标准与检测技术研究所农业元素分析与健康创新团队联合作科所大数据智能设计育种创新团队，解析了水稻穗发育过程中 GSE9 基因调控籽粒形态表型及内部代谢、品质的分子网络，成果发表在《Journal of Advanced Research》。研究用转录组-代谢组-蛋白质组多组学结合机器学习 KANMB 技术，发现 GSE9 主要协同调控次级代谢与淀粉代谢，敲除该基因会引发全基因组转录-翻译解偶联。表明基因编辑除靶标性状外会产生广泛系统效应，为水稻精准育种和基因编辑的品质效应系统评估提供了理论依据。","近日，中国农业科学院农业质量标准与检测技术研究所农业元素分析与健康创新团队联合作科所大数据智能设计育种创新团队，解析了水稻穗发育过程中GSE9基因调控籽粒形态表型及内部代谢、品质成分的分子网络，为水稻分子设计育种与基因编辑相关研究提供了理论依据。研究成果发表在《高级研究杂志（Journal of Advanced Research）》上。\n\nGSE9基因多存在于粳稻，调控粒型形成圆粒，敲除该基因籽粒变为类似籼稻的细长粒表型，过表达则籽粒更圆、粒重增加。然而，这一现象背后的分子调控网络尚不清楚，表性调控背后存在哪些代谢、品质的变化也未知。\n\n研究团队借助转录组‑代谢组‑蛋白质组多组学结合机器学习KANMB技术，系统解析了穗发育过程中GSE9介导的籽粒外观表型与内在品质成分的调控网络，发现GSE9主要协同调控次级代谢与淀粉代谢，敲除GSE9会引发全基因组转录-翻译解偶联，这种全局性分子扰动伴随代谢与表型改变，表明基因编辑除靶标性状外会产生广泛系统效应。\n\n该研究得到海南省重点研发计划、中国农业科学院科技创新工程等项目支持。",{"impact":321,"substance":321,"depth":361,"authority":735,"freshness":385,"relevant":455,"comment":932},"国家级科研机构在《高级研究杂志》发表的水稻粒型与品质多组学调控机制研究，方法新颖、结论有实质增量，对分子设计育种有参考价值，值得进入每日精选。",[934],{"name":890,"url":928},[589,936,592,937,938],"基因编辑","分子设计育种","品质调控",{"code":208,"slug":209,"name":210,"path":211,"parent_code":200},[],{"status":597,"locked":581,"version":4,"method":598,"evidence":942},{"candidates":943,"agricultural_evidence":603},[944,948,952,957],{"code":208,"score":416,"supported":603,"title":945,"abstract":946,"tags":947},[210],[210],[592],{"code":88,"score":408,"supported":603,"title":949,"abstract":950,"tags":951},[],[936],[937,936],{"code":24,"score":700,"supported":603,"title":953,"abstract":954,"tags":956},[],[955],"机器学习",[],{"code":80,"score":455,"supported":581,"title":958,"abstract":959,"tags":960},[],[],[589],[962,963],"中国农科院 水稻 GSE9 基因","水稻粒型 品质 调控机制","中国农科院水稻GSE9基因-5421","2026-10-21T00:09:59.989837Z",{"id":967,"title":968,"url":969,"summary":970,"summary_zh":971,"content":11,"source_name":972,"source_url":969,"published_at":973,"category":974,"cover_url":11,"hotness":385,"is_selected":581,"score":975,"score_detail":976,"sources":978,"tags":980,"primary_topic":984,"secondary_topics":985,"classification":987,"search_phrases":1017,"slug":1020,"view_count":424,"doi":1021,"paper":1022,"created_at":1037},5394,"Rice Yield Prediction Using Multi-Modal Regression Learning with Optimized Ensemble Models","https:\u002F\u002Fdoi.org\u002F10.3390\u002Feng7100572","Accurate rice yield estimation is important for agricultural planning, resource allocation, and food security assessment, but yield depends on interacting climatic, vegetation, remote sensing, seasonal, and crop growth factors. This study presents a Multi-Modal Regression Learning (MMRL) framework for continuous rice yield prediction. The framework integrates rainfall, temperature, humidity, normalized difference vegetation index (NDVI), VH synthetic aperture radar (SAR) backscatter, season, rice cultivation area, and leaf wetness information. Predictor relevance is assessed before model development, and multiple regression learners are trained using a common feature set. Their validation predictions are combined through non-negative ensemble weights constrained to sum to one, thereby producing a single optimized prediction. Experiments were performed on a modeled spatio-temporal agricultural dataset representing Karnataka conditions, with 10,000 observations used for the regression comparison. The proposed MMRL ensemble achieved an R2 of 0.9515, an RMSE of 0.6334 tons\u002Fha, an MAE of 0.5075 tons\u002Fha, and an MAPE of 9.81%, outperforming the evaluated individual regression models. Diagnostic plots further indicated close agreement between predicted and reference yields across most of the evaluated range. The MMRL workflow was also evaluated on a separately reconstructed synthetic dataset generated with fully specified distributions, sampling rules, noise terms, a yield generation equation, and fixed random seeds.","准确的水稻产量估算对农业规划、资源配置和粮食安全评估具有重要意义，但产量取决于气候、植被、遥感、季节和作物生长等多种因素的相互作用。本研究提出了一种用于连续水稻产量预测的多模态回归学习（Multi-Modal Regression Learning，MMRL）框架。该框架整合了降雨量、温度、湿度、归一化植被指数（NDVI）、VH合成孔径雷达（SAR）后向散射、季节、水稻种植面积和叶片湿润信息。在模型开发之前评估预测变量的相关性，并使用共同特征集训练多个回归学习器。其验证预测结果通过约束为和等于1的非负集成权重进行组合，从而生成单一优化预测。实验在代表卡纳塔克邦条件的建模时空农业数据集上进行，使用10,000个观测值进行回归比较。所提出的MMRL集成模型实现了R²为0.9515、RMSE为0.6334吨\u002F公顷、MAE为0.5075吨\u002F公顷、MAPE为9.81%，优于所评估的各个回归模型。诊断图进一步表明，在大多数评估范围内，预测产量与参考产量高度一致。MMRL工作流程还在一个单独重建的合成数据集上进行了评估，该数据集使用完全指定的分布、采样规则、噪声项、产量生成方程和固定随机种子生成。","Eng—Advances in Engineering","2026-10-18T00:00:00Z","论文",78,{"impact":361,"substance":321,"depth":361,"authority":416,"freshness":173,"relevant":455,"comment":977},"多模态回归集成方法在水稻估产上取得较高精度，方法新颖、数据规模明确，对农业信息化有参考价值，但属学术论文且数据集为模拟数据，产业影响有限。",[979],{"name":972,"url":969},[981,898,210,982,983],"智慧农业","产量预测","遥感",{"code":208,"slug":209,"name":210,"path":211,"parent_code":200},[986],{"code":32,"slug":33,"name":34,"path":35,"parent_code":7},{"status":597,"locked":581,"version":4,"method":598,"evidence":988},{"candidates":989,"agricultural_evidence":603},[990,994,999,1004,1009,1013],{"code":208,"score":735,"supported":603,"title":991,"abstract":992,"tags":993},[209],[210,209],[210],{"code":32,"score":173,"supported":603,"title":995,"abstract":996,"tags":998},[],[983,997],"remote sensing",[982,983],{"code":263,"score":676,"supported":603,"title":1000,"abstract":1001,"tags":1003},[],[590,1002],"food security",[],{"code":542,"score":700,"supported":603,"title":1005,"abstract":1006,"tags":1008},[],[1007],"农业规划",[],{"code":16,"score":455,"supported":581,"title":1010,"abstract":1011,"tags":1012},[],[],[981],{"code":24,"score":455,"supported":581,"title":1014,"abstract":1015,"tags":1016},[],[],[898],[1018,1019],"水稻 产量预测 多模态","NDVI SAR 水稻估产","水稻产量预测多模态-5394","10.3390\u002Feng7100572",{"doi":1021,"openalex_id":1023,"authors":1024,"venue":972,"cited_by_count":424,"oa_url":969,"card":1030,"direction":1034,"ingested_from":1036},"W7222942064",[1025,1027],{"name":1026,"orcid":11},"Nayana Venkatesh",{"name":1028,"orcid":1029},"Evangelin Geetha Devaraj","https:\u002F\u002Forcid.org\u002F0000-0002-7253-4314",{"tldr":1031,"method":1032,"finding":1033,"direction":1034,"opportunity":1035},"构建多模态回归学习框架，融合气候、遥感与作物因子，实现水稻产量连续预测。","融合降雨、温度、NDVI、SAR后向散射等多源特征，用非负权重集成多个回归器。","集成模型R²达0.9515，RMSE为0.6334吨\u002F公顷，优于各单一回归模型。","农业遥感与作物表型","可引入真实田间多时相遥感与深度时序模型，验证合成数据结论在真实产区的泛化性。","openalex","2026-10-20T23:30:19.292634Z",{"id":1039,"title":1040,"url":1041,"summary":1042,"summary_zh":1043,"content":11,"source_name":1044,"source_url":1041,"published_at":579,"category":974,"cover_url":11,"hotness":385,"is_selected":581,"score":1045,"score_detail":1046,"sources":1049,"tags":1051,"primary_topic":1054,"secondary_topics":1055,"classification":1056,"search_phrases":1094,"slug":1097,"view_count":424,"doi":1098,"paper":1099,"created_at":1113},5388,"A digital twin framework for proactive disease management in paddy cultivation using spatio-temporal graph neural networks","https:\u002F\u002Fdoi.org\u002F10.1080\u002F20421338.2026.2707951","Rice production is highly affected by disease outbreaks, particularly in Asian agricultural systems, resulting in major yield losses and excessive pesticide usage. This study proposes a digital twin framework for paddy cultivation that integrates predictive disease modelling with real-time crop phenology simulation to support proactive disease management. The framework utilizes historical phenological records, IoT-based microclimatic sensor data, irrigation information, and field management records collected from 150 hectares of paddy fields in Maharashtra, India. A Spatio-Temporal Graph Neural Network (ST-GNN), integrating Graph Convolutional Networks (GCNs) and Long Short-Term Memory (LSTM) networks, is employed to model spatial disease propagation and temporal crop dynamics for predicting blast, brown planthopper, and bacterial leaf blight outbreaks up to 14 days in advance. Experimental results demonstrate 87.3% prediction accuracy, 23.7% reduction in pesticide usage, and 31.2% reduction in crop losses, while outperforming traditional Random Forest and SVM models in F1-score performance. The proposed framework enables real-time decision support for sustainable precision agriculture and optimized resource management.","水稻生产极易受到病害暴发的影响，在亚洲农业体系中尤为突出，造成重大产量损失和农药过度使用。本研究提出一个水稻栽培数字孪生（digital twin）框架，将预测性病害建模与实时作物物候模拟相结合，以支持主动式病害管理。该框架利用从印度马哈拉施特拉邦150公顷稻田采集的历史物候记录、基于物联网的微气候传感器数据、灌溉信息及田间管理记录。采用融合图卷积网络（Graph Convolutional Networks, GCN）与长短期记忆网络（Long Short-Term Memory, LSTM）的时空图神经网络（Spatio-Temporal Graph Neural Network, ST-GNN），对病害空间传播与作物时序动态进行建模，以提前14天预测稻瘟病、褐飞虱和白叶枯病的暴发。实验结果表明，预测准确率达87.3%，农药使用量减少23.7%，作物损失减少31.2%，且在F1分数上优于传统随机森林（Random Forest）和支持向量机（SVM）模型。所提框架可为可持续精准农业和优化资源管理提供实时决策支持。","African Journal of Science Technology Innovation and Development",80,{"impact":361,"substance":321,"depth":361,"authority":675,"freshness":1047,"relevant":455,"comment":1048},9,"方法新颖、数据规模明确且量化效果显著，属智慧农业细分领域实质进展，值得进入每日精选。",[1050],{"name":1044,"url":1041},[981,898,210,1052,1053],"数字孪生","病虫害预警",{"code":208,"slug":209,"name":210,"path":211,"parent_code":200},[],{"status":597,"locked":581,"version":4,"method":598,"evidence":1057},{"candidates":1058,"agricultural_evidence":603},[1059,1067,1072,1078,1083,1089],{"code":16,"score":1060,"supported":603,"title":1061,"abstract":1063,"tags":1066},19,[1062],"digital twin",[1064,1052,1065,1062],"精准农业","precision agriculture",[1052,981],{"code":208,"score":361,"supported":603,"title":1068,"abstract":1070,"tags":1071},[1069],"paddy",[210,693,209,1069],[210],{"code":104,"score":676,"supported":603,"title":1073,"abstract":1074,"tags":1077},[],[1075,1076],"农药","pesticide",[],{"code":152,"score":676,"supported":603,"title":1079,"abstract":1080,"tags":1082},[],[1081,153],"灌溉",[],{"code":48,"score":676,"supported":603,"title":1084,"abstract":1085,"tags":1088},[],[1086,1087],"物联网","IoT",[],{"code":24,"score":400,"supported":603,"title":1090,"abstract":1091,"tags":1093},[],[1092],"decision support",[898],[1095,1096],"水稻 病害预测 数字孪生","ST-GNN 水稻 病虫害","水稻病害预测数字孪生-5388","10.1080\u002F20421338.2026.2707951",{"doi":1098,"openalex_id":1100,"authors":1101,"venue":1044,"cited_by_count":424,"oa_url":11,"card":1106,"direction":1112,"ingested_from":1036},"W7222969403",[1102,1104],{"name":1103,"orcid":11},"Jyoti Rani",{"name":1105,"orcid":11},"Dr.  Narendra S.  Jadhav",{"tldr":1107,"method":1108,"finding":1109,"direction":1110,"opportunity":1111},"构建水稻数字孪生框架，用时空图神经网络提前14天预测病害。","融合物联网微气候、物候与管理数据，用GCN+LSTM的ST-GNN建模。","预测准确率87.3%，农药减23.7%、损失减31.2%，优于RF与SVM。","农业人工智能与决策模型","可探索多尺度时空图建模与数字孪生闭环决策，并迁移至其他作物与区域。","智慧农业 \u002F 农业物联网","2026-10-20T23:30:12.636299Z",{"id":1115,"title":1116,"url":1117,"summary":1118,"summary_zh":11,"content":11,"source_name":1119,"source_url":11,"published_at":1120,"category":580,"cover_url":11,"hotness":385,"is_selected":581,"score":1121,"score_detail":1122,"sources":1124,"tags":1126,"primary_topic":1129,"secondary_topics":1130,"classification":1131,"search_phrases":1142,"slug":1145,"view_count":424,"doi":11,"paper":11,"created_at":1146},5357,"中国科学院院士谢华安钱前赴安徽农科院水稻所肥西试验基地考察指导","https:\u002F\u002Fsds.aaas.org.cn\u002F4307648\u002F71499574.html","10 月 13 日下午,中国科学院院士谢华安、钱前,中国农业科学院作物科学研究所郑晓明研究员赴安徽省农业科学院水稻研究所肥西试验基地,实地考察调研水稻杂合雄性不育育种技术研发与应用进展情况。两位院士一致认为,该育种技术理论构思新颖、技术路线独创、育种优势显著,有效突破传统水稻不育系育种技术瓶颈,种质创制效率与育种创新性位居行业先进水平。","安徽省农业科学院水稻研究所 2026-10-13","2026-10-13T00:00:00Z",65,{"impact":361,"substance":584,"depth":416,"authority":675,"freshness":676,"relevant":455,"comment":1123},"两位院士实地考察并肯定水稻杂合雄性不育育种技术，属细分领域实质进展，但为机构考察通稿，时效稍滞后。",[1125],{"name":1119,"url":1117},[589,592,1127,1128],"雄性不育","院士考察",{"code":208,"slug":209,"name":210,"path":211,"parent_code":200},[],{"status":597,"locked":581,"version":4,"method":598,"evidence":1132},{"candidates":1133,"agricultural_evidence":603},[1134,1138],{"code":208,"score":416,"supported":603,"title":1135,"abstract":1136,"tags":1137},[210],[210],[592],{"code":80,"score":455,"supported":581,"title":1139,"abstract":1140,"tags":1141},[],[],[589],[1143,1144],"谢华安 钱前 水稻","安徽农科院 水稻 杂合雄性不育","谢华安钱前水稻-5357","2026-10-20T02:47:45.141579Z",{"id":1148,"title":1149,"url":1150,"summary":1151,"summary_zh":11,"content":1152,"source_name":1153,"source_url":11,"published_at":845,"category":580,"cover_url":11,"hotness":385,"is_selected":581,"score":975,"score_detail":1154,"sources":1156,"tags":1158,"primary_topic":1163,"secondary_topics":1164,"classification":1165,"search_phrases":1172,"slug":1175,"view_count":424,"doi":11,"paper":11,"created_at":1176},5347,"广东农科院揭示褪黑素介导水稻铜胁迫响应的新机制 Journal of Pineal Research","https:\u002F\u002Fnews.sciencenet.cn\u002Fhtmlnews\u002F2026\u002F10\u002F573085.shtm","广东省农业科学院农业质量标准与监测技术研究所研究员陈光团队联合郑州大学农业与生物制造学院副研究员韩慧敏等,研究揭示了褪黑素介导水稻铜胁迫响应的新机制,相关成果发表于 Journal of Pineal Research。研究发现 OsCSA 直接结合到 OsCOMT12 的启动子区域并上调其表达,确立了 OsCSA-OsCOMT12 调控模块作为褪黑素介导的水稻 Cu 胁迫响应新机制,为耐 Cu 作物遗传改良提供了靶标。论文 DOI: 10.1111\u002Fjpi.70187。","[![Image 1: 科学网新闻频道](https:\u002F\u002Fnews.sciencenet.cn\u002Fimages\u002Fnews.jpg)](https:\u002F\u002Fnews.sciencenet.cn\u002F)\n\n[生命科学](https:\u002F\u002Fwww.sciencenet.cn\u002Flife\u002F) | [医学科学](https:\u002F\u002Fwww.sciencenet.cn\u002Fmedicine\u002F) | [化学科学](https:\u002F\u002Fwww.sciencenet.cn\u002Fchemistry\u002F) | [工程材料](https:\u002F\u002Fwww.sciencenet.cn\u002Fmaterial\u002F) | [信息科学](https:\u002F\u002Fwww.sciencenet.cn\u002Finformation\u002F) | [地球科学](https:\u002F\u002Fwww.sciencenet.cn\u002Fearth\u002F) | [数理科学](https:\u002F\u002Fwww.sciencenet.cn\u002Fmathematics\u002F) | [管理综合](https:\u002F\u002Fwww.sciencenet.cn\u002Fpolicy\u002F)[站内规定](https:\u002F\u002Fblog.sciencenet.cn\u002Fblog-45-1064777.html) | [手机版](https:\u002F\u002Fwap.sciencenet.cn\u002F)\n\n[首页](https:\u002F\u002Fwww.sciencenet.cn\u002F) | [新闻](https:\u002F\u002Fnews.sciencenet.cn\u002F) | [博客](https:\u002F\u002Fblog.sciencenet.cn\u002Fblog.php) | [院士](https:\u002F\u002Fnews.sciencenet.cn\u002Fys\u002F) | [人才](https:\u002F\u002Ftalent.sciencenet.cn\u002F) | [会议](https:\u002F\u002Fmeeting.sciencenet.cn\u002F) | [基金·项目](https:\u002F\u002Ffund.sciencenet.cn\u002F) | [论文](https:\u002F\u002Fpaper.sciencenet.cn\u002F) | [绘图](https:\u002F\u002Fvisual-web.sciencenet.cn\u002F) | [视频·直播](https:\u002F\u002Fblog.sciencenet.cn\u002Fblog.php?mod=video) | [小柯机器人](https:\u002F\u002Fpaper.sciencenet.cn\u002FAInews) | [医学科普](https:\u002F\u002Fyxkp.sciencenet.cn\u002F)\n\n作者：朱汉斌 来源：中国科学报 发布时间：2026\u002F10\u002F17 9:26:33 选择字号：小 中 大 研究揭示褪黑素介导水稻铜胁迫响应的新机制 近日，在国家自然科学基金、广东省基础与应用基础研究基金等项目资助下，广东省农业科学院农业质量标准与监测技术研究所研究员陈光团队联合郑州大学农业与生物制造学院副研究员韩慧敏等，研究揭示了褪黑素介导水稻铜胁迫响应的新机制。相关成果发表于《松果体研究杂志》（_Journal of Pineal Research_）。 褪黑素 作为一种植物次生代谢产物，在环境胁迫应答过程中发挥重要作用，但 褪黑素 缓解水稻过量铜（Cu）毒害的潜在生理和分子机制尚不明确。 该研究发现，与单独Cu处理相比，外源施加 褪黑素 增加了根系和地上部生物量，降低了根系对Cu的吸收能力及植株体内Cu浓度，有效增强了水稻对Cu胁迫的耐受性。通过转录组分析，鉴定到一个响应Cu胁迫的关键转录因子OsCSA。与野生型相比，_OsCSA_ 过表达株系对过量Cu的耐受性显著增强，表现为 褪黑素 含量增加，抗氧化基因 _OsCATC_、_OsAPXs_ 表达以及CAT、SOD和APX活性提高，H 2 O 2 和MDA含量降低。_OsCSA_ 敲除植株则表现出相反结果，且外源施加MT可挽救其过量Cu敏感表型。 进一步研究发现，OsCSA直接结合到 _OsCOMT12_ 的启动子区域并上调其表达。在Cu胁迫下，_OsCOMT12_ 敲除植株中也观察到Cu浓度和ROS积累显著增加，与OsCSA敲除株系中的结果一致。此外，在 _OsCSA_ 过表达水稻背景中敲除 _OsCOMT12_，抵消了OsCSA对Cu胁迫耐受性的正向效应。这些发现确立了OsCSA-OsCOMT12调控模块作为 褪黑素 介导的水稻Cu胁迫响应新机制，为耐Cu作物遗传改良提供了靶标。 相关论文信息：https:\u002F\u002Fdoi.org\u002F10.1111\u002Fjpi.70187 版权声明：凡本网注明“来源：中国科学报、科学网、科学新闻杂志”的所有作品，网站转载，请在正文上方注明来源和作者，且不得对内容作实质性改动；微信公众号、头条号等新媒体平台，转载请联系授权。邮箱：shouquan@stimes.cn。\n\n打印 发E-mail给：\n\n以下评论只代表网友个人观点，不代表科学网观点。\n\n[![Image 2](https:\u002F\u002Fnews.sciencenet.cn\u002Fimages\u002Fnewcomm.gif)](https:\u002F\u002Fnews.sciencenet.cn\u002Fhtml\u002Fcomment.aspx?id=573085)\n\n相关新闻 相关论文\n*   1\n*   [植物星球计划：为“植物生命之树”绘制全景图](https:\u002F\u002Fnews.sciencenet.cn\u002Fhtmlnews\u002F2026\u002F10\u002F573066.shtm)\n\n*   2\n*   [李德生：矢志为国探油，漫漫征程藏于子女之名](https:\u002F\u002Fnews.sciencenet.cn\u002Fhtmlnews\u002F2026\u002F10\u002F573065.shtm)\n\n*   3\n*   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_OsCOMT12_，抵消了OsCSA对Cu胁迫耐受性的正向效应。这些发现确立了OsCSA-OsCOMT12调控模块作为 褪黑素 介导的水稻Cu胁迫响应新机制，为耐Cu作物遗传改良提供了靶标。\n\n相关论文信息：https:\u002F\u002Fdoi.org\u002F10.1111\u002Fjpi.70187","中国科学报 2026-10-17",{"impact":361,"substance":321,"depth":361,"authority":675,"freshness":647,"relevant":455,"comment":1155},"省级科研机构在植物逆境生理领域取得机制性突破，结论可靠且为耐铜作物遗传改良提供靶标，具备专业参考价值。",[1157],{"name":1153,"url":1150},[210,1159,1160,1161,1162],"褪黑素","重金属","铜胁迫","耐逆育种",{"code":208,"slug":209,"name":210,"path":211,"parent_code":200},[],{"status":597,"locked":581,"version":4,"method":598,"evidence":1166},{"candidates":1167,"agricultural_evidence":603},[1168],{"code":208,"score":416,"supported":603,"title":1169,"abstract":1170,"tags":1171},[210],[210],[210],[1173,1174],"广东农科院 水稻 褪黑素","OsCSA OsCOMT12 铜胁迫","广东农科院水稻褪黑素-5347","2026-10-20T02:47:44.242122Z",{"id":1178,"title":1179,"url":1180,"summary":1181,"summary_zh":11,"content":1182,"source_name":1183,"source_url":11,"published_at":11,"category":580,"cover_url":11,"hotness":385,"is_selected":581,"score":806,"score_detail":1184,"sources":1188,"tags":1190,"primary_topic":1194,"secondary_topics":1195,"classification":1196,"search_phrases":1225,"slug":1228,"view_count":424,"doi":11,"paper":11,"created_at":1229},5341,"中国农科院联合发布植物抗逆 AI 智能体与盐稻芯 1 号耐盐水稻 11K 液相育种芯片","https:\u002F\u002Fwww.md2we.com\u002Fitems\u002F4944","国家盐碱地中心发布植物抗逆 AI 智能体与耐盐水稻 11K 液相育种芯片(盐稻芯 1 号)。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。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。","### 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\n2026-10-15 04:44:38\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: Image 1](https:\u002F\u002Fwsrv.nl\u002F?url=https%3A%2F%2Fdzngimage.dzwww.com%2F2026%2F09%2F19%2F792a00e9232c00fdcf438be95889fed0.png)\n\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。\n\n免责声明：以上数据来源于天眼查等平台，相关内容仅为传递更多信息之目的，不代表本网观点，亦不代表本网站赞同其观点或证实其内容的真实性。如有侵权请联系0531-85193563。  \n 本文来源：海报新闻\n\n查看更多","AgriHot 转发 2026-10",{"impact":808,"substance":1185,"depth":1186,"authority":675,"freshness":700,"relevant":455,"comment":1187},23,17,"全球首个植物抗逆AI智能体与国内首个耐盐水稻11K液相育种芯片同期发布，属种业与农业AI领域的重大突破，但发布已逾一月，时效性偏弱。",[1189],{"name":1183,"url":1180},[898,1191,589,1192,1193],"盐碱地利用","育种芯片","耐盐水稻",{"code":208,"slug":209,"name":210,"path":211,"parent_code":200},[],{"status":597,"locked":581,"version":4,"method":598,"evidence":1197},{"candidates":1198,"agricultural_evidence":603},[1199,1203,1208,1213,1217,1221],{"code":208,"score":524,"supported":603,"title":1200,"abstract":1201,"tags":1202},[210],[210],[],{"code":144,"score":400,"supported":603,"title":1204,"abstract":1205,"tags":1207},[],[1206],"盐碱地",[1191],{"code":184,"score":700,"supported":603,"title":1209,"abstract":1210,"tags":1212},[],[1211],"干旱",[],{"code":80,"score":455,"supported":581,"title":1214,"abstract":1215,"tags":1216},[],[],[589],{"code":88,"score":455,"supported":581,"title":1218,"abstract":1219,"tags":1220},[],[],[1192],{"code":24,"score":455,"supported":581,"title":1222,"abstract":1223,"tags":1224},[],[],[898],[1226,1227],"盐稻芯1号 耐盐水稻","农业人工智能 盐碱地利用 种业振兴 耐盐水稻","盐稻芯1号耐盐水稻-5341","2026-10-20T02:47:43.721822Z",{"id":1231,"title":1232,"url":1233,"summary":1234,"summary_zh":11,"content":1235,"source_name":1236,"source_url":11,"published_at":1237,"category":580,"cover_url":11,"hotness":385,"is_selected":581,"score":582,"score_detail":1238,"sources":1240,"tags":1242,"primary_topic":1246,"secondary_topics":1247,"classification":1248,"search_phrases":1263,"slug":1266,"view_count":424,"doi":11,"paper":11,"created_at":1267},5336,"中国农科院揭示水稻钾离子转运蛋白 OsNHX2 提高耐冷性的分子机制 Molecular Plant","https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7696347285219557922","10 月 12 日,中国农业科学院作物科学研究所水稻分子设计技术与应用创新团队揭示水稻钾离子转运蛋白 OsNHX2 通过调节细胞内钾离子积累来增强水稻耐冷性的作用机制,相关研究成果发表在 Molecular Plant 上。研究利用前期构建的多亲本高代互交群体,鉴定并克隆调控水稻耐冷性的关键基因 OsNHX2,发现该基因编码定位于液泡膜的钾离子转运蛋白,在低温胁迫下促进根系对钾离子的吸收并改变定位、抑制转运活性,从而促进胞质钾离子留存,提高水稻耐冷性。","## 中国农科院团队揭示钾离子稳态调控可提高水稻耐冷能力\n\n10月12日，中国农业科学院作物科学研究所水稻分子设计技术与应用创新团队揭示了水稻钾离子转运蛋白OsNHX2通过调节细胞内钾离子积累来增强水稻耐冷性的作用机制。相关研究成果发表在《分子植物（Molecular Plant）》上。\n\n![Image 1: 6a41f6e3-55a4-4bed-8895-f123559ea4f8.png](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-axegupay5k\u002Fe96dedf24e70423290668656a1089d98~tplv-tt-origin-web:gif.jpeg?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1793069287&x-signature=h%2BPpAG%2FkNMW%2BhuASkuU56B%2F%2BvwE%3D)\n水稻起源于热带和亚热带地区，对低温敏感。低温胁迫会抑制水稻幼苗生长，降低结实率，最终造成减产。尽管农艺实践表明增施钾肥可缓解水稻低温伤害，但此前一直缺乏钾离子转运与水稻耐冷性之间的直接分子证据。\n\n研究团队利用前期构建的多亲本高代互交群体，鉴定并克隆了调控水稻耐冷性的关键基因 _OsNHX2_。研究发现，该基因编码一个定位于液泡膜的钾离子转运蛋白，在低温胁迫下，相关抑制因子表达下调，解除了对该蛋白的转录抑制，进而促进根系对钾离子的吸收；钾离子转运至地上部后，该蛋白改变其定位并抑制转运活性，从而促进胞质钾离子留存，最终提高水稻耐冷性。该研究为水稻耐冷分子育种提供了新靶点和重要理论基础。\n\n作科所博士后石慧敏和沈阳农业大学博士研究生邵奎添为该论文共同第一作者，作科所徐建龙研究员和张帆研究员为该论文共同通讯作者。该研究得到了国家重点研发计划项目、农业生物育种国家科技重大专项、中国农业科学院科技创新工程等项目的资助。\n\n原文链接：\n\nhttps:\u002F\u002Fwww.cell.com\u002Fmolecular-plant\u002Ffulltext\u002FS1674-2052(26)00341-2\n\n植物科学最前沿，专注于植物科学前沿进展、 资讯、 招聘信息的发布及方法软件共享等 。 投稿及招聘请后台回复“投稿” ，均为无偿； 商务合作请联系微信ID： zwkxqy ；","中国农业科学院作物科学研究所 2026-10-12","2026-10-12T00:00:00Z",{"impact":321,"substance":1185,"depth":361,"authority":345,"freshness":408,"relevant":455,"comment":1239},"国家级科研机构在《分子植物》发表的水稻耐冷分子机制原创成果，为耐冷育种提供新靶点，专业增量明确，但属细分基础研究且已发布一周，时效性一般。",[1241],{"name":1236,"url":1233},[589,1243,1244,1245],"分子育种","水稻耐冷","钾离子转运",{"code":208,"slug":209,"name":210,"path":211,"parent_code":200},[],{"status":597,"locked":581,"version":4,"method":598,"evidence":1249},{"candidates":1250,"agricultural_evidence":603},[1251,1255,1259],{"code":208,"score":524,"supported":603,"title":1252,"abstract":1253,"tags":1254},[210],[210],[],{"code":80,"score":455,"supported":581,"title":1256,"abstract":1257,"tags":1258},[],[],[589],{"code":88,"score":455,"supported":581,"title":1260,"abstract":1261,"tags":1262},[],[],[1243],[1264,1265],"中国农科院 水稻 OsNHX2 耐冷","水稻 钾离子转运蛋白 耐冷育种","中国农科院水稻OsNHX2耐冷-5336","2026-10-20T02:47:43.406677Z",{"id":1269,"title":1270,"url":1271,"summary":1272,"summary_zh":1273,"content":11,"source_name":1274,"source_url":1271,"published_at":973,"category":974,"cover_url":11,"hotness":385,"is_selected":581,"score":1275,"score_detail":1276,"sources":1278,"tags":1280,"primary_topic":1282,"secondary_topics":1283,"classification":1284,"search_phrases":1303,"slug":1306,"view_count":424,"doi":1307,"paper":1308,"created_at":1329},5319,"Synergistic Use of Multitemporal SAR and Optical Data with Random Forest Approach for Rice Mapping in Bangladesh","https:\u002F\u002Fdoi.org\u002F10.31223\u002Fx5f22w","Accurate in-season crop mapping is vital for national food security, yet traditional ground-based estimation methods in Bangladesh often lack precision. This study develops a robust machine-learning framework to map Boro rice in the Manikganj district by integrating Sentinel-1 Synthetic Aperture Radar (SAR) and Sentinel-2 optical imagery. To overcome the challenge of seasonal cloud cover, Sentinel-1 VH polarization was utilized to identify unique backscatter reductions during the transplantation phase (late February to early March) caused by specular reflection from flooded fields. By combining these SAR signatures with high-resolution spectral indices (NDVI, EVI, and BSI) from Sentinel-2 during peak growth stages, the research captures the distinct phenological signatures of paddy rice. A pixel-based Random Forest algorithm was applied within the Google Earth Engine (GEE) platform, utilizing about 200 field-verified reference points per sub-district (1,385 in total) for training and validation. The results demonstrated high classification performance, with overall accuracies ranging from 88.1% to 94.9% across the seven sub-districts. Furthermore, a comparison with official government statistics revealed a minimal total area difference of only 2.34%, underscoring the reliability of this integrated satellite approach for operational crop monitoring.","准确的当季作物制图对国家粮食安全至关重要，然而孟加拉国传统的基于地面估计的方法往往缺乏精度。本研究开发了一个稳健的机器学习框架，通过整合Sentinel-1合成孔径雷达（SAR）和Sentinel-2光学影像，对马尼格甘杰县的Boro水稻进行制图。为克服季节性云覆盖的挑战，研究利用Sentinel-1 VH极化识别插秧期（2月下旬至3月上旬）由淹水田块镜面反射所引起的独特后向散射降低特征。通过将这些SAR特征与Sentinel-2在生长旺盛期的高分辨率光谱指数（NDVI、EVI和BSI）相结合，研究捕捉到了水稻独特的物候特征。在Google Earth Engine（GEE）平台上应用了基于像元的随机森林算法，利用每个乡约200个实地验证参考点（共计1，385个）进行训练和验证。结果表明分类性能较高，七个乡的总体精度在88.1%至94.9%之间。此外，与政府官方统计数据相比，总面积差异仅为2.34%，凸显了这种综合卫星方法在业务化作物监测中的可靠性。","OpenAlex",79,{"impact":361,"substance":321,"depth":361,"authority":416,"freshness":1047,"relevant":455,"comment":1277},"方法扎实、精度可靠的水稻遥感制图研究，对农业遥感业务化监测有参考价值，但属区域性案例，影响层级有限。",[1279],{"name":1274,"url":1271},[210,590,955,1281,983],"作物制图",{"code":208,"slug":209,"name":210,"path":211,"parent_code":200},[],{"status":597,"locked":581,"version":4,"method":598,"evidence":1285},{"candidates":1286,"agricultural_evidence":603},[1287,1291,1295,1299],{"code":208,"score":361,"supported":603,"title":1288,"abstract":1289,"tags":1290},[209],[210,209,1069],[210],{"code":263,"score":647,"supported":603,"title":1292,"abstract":1293,"tags":1294},[],[590,1002],[590],{"code":24,"score":400,"supported":603,"title":1296,"abstract":1297,"tags":1298},[],[955],[955],{"code":32,"score":455,"supported":581,"title":1300,"abstract":1301,"tags":1302},[],[],[983],[1304,1305],"Sentinel-1 Sentinel-2 水稻制图","孟加拉国 Boro 水稻 遥感","Sentinel-1Sentinel-2水稻制图-5319","10.31223\u002Fx5f22w",{"doi":1307,"openalex_id":1309,"authors":1310,"venue":11,"cited_by_count":424,"oa_url":1323,"card":1324,"direction":1034,"ingested_from":1036},"W7222810209",[1311,1313,1316,1319,1321],{"name":1312,"orcid":11},"Mst. Farida Perveen",{"name":1314,"orcid":1315},"Sravan Shrestha","https:\u002F\u002Forcid.org\u002F0000-0001-6979-1726",{"name":1317,"orcid":1318},"Abdullah Al Mehadi","https:\u002F\u002Forcid.org\u002F0000-0002-9002-633X",{"name":1320,"orcid":11},"Saima Kazmina",{"name":1322,"orcid":11},"Amio Al Saem","https:\u002F\u002Feartharxiv.org\u002Frepository\u002Fobject\u002F15552\u002Fdownload\u002F26951\u002F",{"tldr":1325,"method":1326,"finding":1327,"direction":1034,"opportunity":1328},"融合Sentinel-1 SAR与Sentinel-2光学影像，用随机森林在GEE上绘制孟加拉国Bo","Sentinel-1 VH后向散射与Sentinel-2 NDVI\u002FEVI\u002FBS","七个分县总体精度88.1%–94.9%，与官方统计面积仅差2.34%。","可将该SAR-光学协同框架迁移至其他多云雨稻区，并探索多时相特征优选与跨季泛化。","2026-10-19T23:30:22.772950Z",{"id":1331,"title":1332,"url":1333,"summary":1334,"summary_zh":11,"content":577,"source_name":1335,"source_url":11,"published_at":627,"category":580,"cover_url":11,"hotness":385,"is_selected":581,"score":1336,"score_detail":1337,"sources":1339,"tags":1341,"primary_topic":1343,"secondary_topics":1344,"classification":1345,"search_phrases":1360,"slug":1361,"view_count":424,"doi":11,"paper":11,"created_at":1362},5291,"福建农科院水稻所\"双抗\"杂交稻新品种\"禾两优631\"两季亩产达1364.52公斤","https:\u002F\u002Fwww.faas.cn\u002Fcms\u002Fhtml\u002Fsdyjs\u002F2026-10-16\u002F1322929416.html","10月15日福建省农科院水稻所在尤溪县西城镇麻洋村举行\"禾两优631\"作再生稻高产栽培示范验收会,中国科学院韩斌院士、钱前院士等专家现场测产;经测产禾两优631再生季亩产达484.72公斤,加上8月头季亩产879.8公斤,两季合计亩产1364.52公斤;尤溪麻洋村百亩示范基地已示范种植15个强再生力杂交稻品种,谢华安院士团队长期攻关。","福建省农业科学院(2026-10-16)",81,{"impact":321,"substance":321,"depth":584,"authority":675,"freshness":173,"relevant":455,"comment":1338},"省级科研机构发布的新品种测产数据具体，两季亩产1364.52公斤且连续26年示范，具备行业参考价值，值得进入每日精选。",[1340],{"name":1335,"url":1333},[589,590,591,813,1342],"高产栽培",{"code":208,"slug":209,"name":210,"path":211,"parent_code":200},[],{"status":597,"locked":581,"version":4,"method":598,"evidence":1346},{"candidates":1347,"agricultural_evidence":603},[1348,1352,1356],{"code":208,"score":808,"supported":603,"title":1349,"abstract":1350,"tags":1351},[210,784],[210,784,591],[591,813],{"code":263,"score":69,"supported":581,"title":1353,"abstract":1354,"tags":1355},[],[],[590,1342],{"code":80,"score":455,"supported":581,"title":1357,"abstract":1358,"tags":1359},[],[],[589],[616,617],"禾两优631再生稻-5291","2026-10-19T00:07:42.101315Z",{"id":1364,"title":1365,"url":1366,"summary":1367,"summary_zh":11,"content":1368,"source_name":1369,"source_url":11,"published_at":1370,"category":580,"cover_url":11,"hotness":385,"is_selected":581,"score":1371,"score_detail":1372,"sources":1374,"tags":1376,"primary_topic":1381,"secondary_topics":1382,"classification":1384,"search_phrases":1404,"slug":1407,"view_count":424,"doi":11,"paper":11,"created_at":1408},5288,"赤壁水稻智慧施肥千亩示范片区亩产突破700公斤 化肥减量、耕地地力持续提升","https:\u002F\u002Fnews.cjn.cn\u002Fzjjjdpd\u002Fxn_20064\u002F202610\u002Ft5348946.htm","10月9日湖北省农科院、省农业农村厅测产专家组赴赤壁市赤壁镇九毫村,经严格实测水稻智慧施肥千亩示范片区水稻亩产突破700公斤,片区总面积1154亩;该片区集成应用智慧科学施肥方案,推广绿色肥料、机械侧深施肥、无人机追肥、秸秆还田等先进农业技术,实现粮食稳产增产与农业绿色发展双赢;赤壁市今年水稻总产量预计可达23万吨以上。","10月9日，省农科院、省农业农村厅测产专家组赴赤壁市赤壁镇九毫村，对水稻智慧施肥千亩示范片区开展现场实收测产，经严格实测，片区水稻亩产突破700公斤。\n\n本次实收测产片区总面积1154亩。专家组现场随机选定田块，依次完成水稻脱粒、装袋、称重、籽粒含水率检测等一系列规范流程。\n\n该示范片区集成应用智慧科学施肥方案，推广绿色肥料、机械侧深施肥、无人机追肥、秸秆还田等先进农业技术。技术落地后，农田化肥投入有效减少，农业面源污染得到控制，耕地地力持续提升，实现粮食稳产增产与农业绿色发展双赢，为赤壁市乃至咸宁市秋粮稳产增产打造可复制、可推广的实践样板。\n\n近年来，赤壁市深耕科学施肥推广，以新技术、新产品、新机具“三新”集成推广为抓手，对接省农业科技服务支点建设“五大提质行动”，推动良田、良种、良机、良法深度融合，加快农业关键技术落地。全市水稻常年种植面积稳定在43万亩左右，今年水稻总产量预计可达23万吨以上。（ 见博、王智雨）","长江网(2026-10-14)","2026-10-14T00:00:00Z",57,{"impact":584,"substance":361,"depth":675,"authority":676,"freshness":400,"relevant":455,"comment":1373},"省级农科院测产验证的智慧施肥千亩示范实收数据，具可复制推广价值，但为地方性报道且已过一周时效。",[1375],{"name":1369,"url":1366},[1377,210,1378,1379,1380],"绿色农业","耕地地力","化肥减量","智慧施肥",{"code":208,"slug":209,"name":210,"path":211,"parent_code":200},[1383],{"code":96,"slug":97,"name":98,"path":99,"parent_code":72},{"status":597,"locked":581,"version":4,"method":598,"evidence":1385},{"candidates":1386,"agricultural_evidence":603},[1387,1391,1395,1400],{"code":96,"score":735,"supported":603,"title":1388,"abstract":1389,"tags":1390},[650],[650,651],[1379],{"code":208,"score":416,"supported":603,"title":1392,"abstract":1393,"tags":1394},[210],[210],[210],{"code":168,"score":700,"supported":603,"title":1396,"abstract":1397,"tags":1399},[],[1398],"秸秆还田",[],{"code":192,"score":455,"supported":581,"title":1401,"abstract":1402,"tags":1403},[],[],[1377],[1405,1406],"赤壁 水稻 智慧施肥","九毫村 水稻 测产","赤壁水稻智慧施肥-5288","2026-10-19T00:07:41.890918Z",{"id":1410,"title":1411,"url":1412,"summary":1413,"summary_zh":11,"content":1414,"source_name":1415,"source_url":11,"published_at":1416,"category":580,"cover_url":11,"hotness":385,"is_selected":581,"score":1417,"score_detail":1418,"sources":1420,"tags":1422,"primary_topic":1426,"secondary_topics":1427,"classification":1429,"search_phrases":1450,"slug":1453,"view_count":424,"doi":11,"paper":11,"created_at":1454},5280,"省农科院水稻高粱所泸县召开国家重点研发计划子课题中稻-再生稻现场培训会","https:\u002F\u002Fwww.chinawestagr.com\u002Fzwgk\u002Fshowcontent.asp?id=67457","10月9日—10日\"2026年国家重点研发项目课题五(2024YFD2300405)子课题—川南地区中稻-再生稻大面积单产提升技术模式集成示范现场培训会\"在泸县召开,四川省农技推广总站、宜宾市农科院、犍为县农业农村局等70余人参会;徐富贤研究员、卢代华研究员分别作\"气候变暖背景下川渝再生稻生产布局与高产栽培技术\"等专题培训。","λԺˮ            ʱ䣺2026\u002F10\u002F13245\n\n109—10գΪõƶϵе-ƹӦãԺˮ“2026صзĿ壨2024YFD2300405ӿ—ϵе-ģʽʾֳѵ”سɹٿĴʡũҵƹվ˱ũҵѧԺΪũҵũ֡˳ũҵũ֡¡ũҵũ֡ũҵũ֡ũҵũ֡Ժˮ쵼רҡظũԱ;Ӫ70˲λᡣӿ⸺˹оԱ֡","四川省农业科学院(2026-10-09)","2026-10-09T00:00:00Z",56,{"impact":584,"substance":675,"depth":1047,"authority":675,"freshness":408,"relevant":455,"comment":1419},"省级科研机构牵头的国家重点研发计划子课题现场培训会，属细分领域技术推广动态，有实质内容但影响面限于区域，时效性一般，可作常规资讯而非每日精选。",[1421],{"name":1415,"url":1412},[210,1423,1424,591,1425],"国家重点研发计划","泸县","农技培训",{"code":208,"slug":209,"name":210,"path":211,"parent_code":200},[1428],{"code":240,"slug":241,"name":242,"path":243,"parent_code":200},{"status":597,"locked":581,"version":4,"method":598,"evidence":1430},{"candidates":1431,"agricultural_evidence":603},[1432,1437,1442,1446],{"code":208,"score":1433,"supported":603,"title":1434,"abstract":1435,"tags":1436},21,[210,591],[591],[591,210],{"code":240,"score":173,"supported":603,"title":1438,"abstract":1440,"tags":1441},[1439],"高粱",[],[],{"code":488,"score":400,"supported":603,"title":1443,"abstract":1444,"tags":1445},[],[853],[1425],{"code":263,"score":700,"supported":603,"title":1447,"abstract":1448,"tags":1449},[],[633],[],[1451,1452],"泸县 中稻再生稻 现场培训","四川省农科院 水稻高粱所 再生稻","泸县中稻再生稻现场培训-5280","2026-10-19T00:07:41.316232Z",{"id":1456,"title":1457,"url":1458,"summary":1459,"summary_zh":11,"content":1460,"source_name":1461,"source_url":11,"published_at":1462,"category":580,"cover_url":11,"hotness":385,"is_selected":581,"score":93,"score_detail":1463,"sources":1465,"tags":1467,"primary_topic":1471,"secondary_topics":1472,"classification":1474,"search_phrases":1494,"slug":1497,"view_count":424,"doi":11,"paper":11,"created_at":1498},5279,"四川院水稻高粱所节水抗旱稻德阳旌阳区示范片测产亩产672.79公斤","https:\u002F\u002Fwww.chinawestagr.com\u002Fzwgk\u002Fshowcontent.asp?id=67451","10月8日德阳市旌阳区农业农村局组织专家对节水抗旱稻旱优73及配套丰产高效栽培技术科技示范片进行现场测产验收,平均亩产量为672.79公斤;该项目由四川省农科院水稻高粱所郭晓艺研究员主持,采用\"智能旱条播、旱管与关键期补水、基蘖穗平衡施肥、科学除草、病虫害绿色防控\"为核心的节水抗旱稻旱直播旱管栽培技术体系。","λԺˮ            ʱ䣺2026\u002F10\u002F13224\n\n108գũҵũ֯ʡũԺСоԱũԺоԱרңԽˮ73׷Ч༼ƼʾƬֳա\n\nʾƬǰΪС󣬲˻еֱ“ܺؼڲˮƽʩʡѧݡ溦ɫ”ΪĵĽˮֱ༼ϵˮƾ⣬ʵʸߡרʾƬȡֳղƽĶΪ672.79רһΪüȽʵãˮڱЧ","四川省农业科学院(2026-10-08)","2026-10-08T00:00:00Z",{"impact":584,"substance":361,"depth":416,"authority":675,"freshness":400,"relevant":455,"comment":1464},"省级科研机构发布的节水抗旱稻示范片实测产量数据，具备实质信息与专业参考价值，但属区域性田间测产进展，时效偏旧，适合作为主题聚合素材而非每日精选头条。",[1466],{"name":1461,"url":1458},[592,1468,1469,774,1470],"节水抗旱稻","四川水稻","旱优73",{"code":208,"slug":209,"name":210,"path":211,"parent_code":200},[1473],{"code":240,"slug":241,"name":242,"path":243,"parent_code":200},{"status":597,"locked":581,"version":4,"method":598,"evidence":1475},{"candidates":1476,"agricultural_evidence":603},[1477,1481,1485,1490],{"code":208,"score":675,"supported":603,"title":1478,"abstract":1479,"tags":1480},[210],[210],[592,1468],{"code":240,"score":524,"supported":603,"title":1482,"abstract":1483,"tags":1484},[1439],[1439],[],{"code":104,"score":676,"supported":603,"title":1486,"abstract":1487,"tags":1489},[],[707,1488],"除草",[],{"code":96,"score":700,"supported":603,"title":1491,"abstract":1492,"tags":1493},[],[650],[],[1495,1496],"四川省农科院 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亩产672.79公斤","四川省农科院节水抗旱稻德阳旌阳区-5279","2026-10-19T00:07:41.265327Z",{"technologies":1500,"keywords":1538},[1501,1503,1504,1505,1507,1508,1510,1512,1513,1515,1516,1518,1520,1521,1523,1525,1527,1528,1530,1532,1534,1536],{"name":898,"count":1502},48,{"name":1243,"count":345},{"name":983,"count":345},{"name":1506,"count":647},"生物育种",{"name":1064,"count":647},{"name":1509,"count":676},"遥感监测",{"name":1511,"count":408},"农业遥感",{"name":936,"count":408},{"name":1514,"count":700},"作物表型",{"name":955,"count":700},{"name":1517,"count":69},"无人机遥感",{"name":1519,"count":69},"深度学习",{"name":1086,"count":69},{"name":1522,"count":455},"农业大模型",{"name":1524,"count":455},"多模态",{"name":1526,"count":455},"多源遥感",{"name":1052,"count":455},{"name":1529,"count":455},"联邦学习",{"name":1531,"count":455},"计算机视觉",{"name":1533,"count":455},"边缘计算",{"name":1535,"count":455},"高光谱",{"name":1537,"count":455},"高光谱遥感",[1539,1541,1543,1544,1545,1546,1547,1548,1550,1551,1553,1555],{"name":589,"count":1540},136,{"name":210,"count":1542},101,{"name":981,"count":1275},{"name":592,"count":377},{"name":813,"count":602},{"name":590,"count":1185},{"name":591,"count":1186},{"name":1549,"count":385},"水稻种植",{"name":635,"count":1047},{"name":1552,"count":1047},"院地合作",{"name":1554,"count":173},"水稻新品种",{"name":707,"count":173}]