[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"daily-2026-09-17":3},{"date":4,"title":5,"highlights":6,"content":12,"items":13},"2026-09-17","农业农村日报：农业保险与数字乡村双轮驱动",[7,8,9,10,11],"财政部等四部门印发农业保险高质量发展实施方案，明确2030年保险深度1.9%、密度1200元\u002F人，三大主粮覆盖率稳定在90%左右。","中央网信办解读《数字乡村高质量发展行动计划》，提出2030年5G通达率超95%、农业科技进步贡献率67%、农村网络零售额3.5万亿元。","财政部下达17.63亿元农业生产救灾资金，支持河南、山东等秋粮主产区抗灾夺丰收，重点用于灾后恢复与防灾设施建设。","农业农村部印发《全国种植业发展十五五规划》，并借第十八届中国国际种业博览会发布十四五育种攻关90项成果，推进种业振兴。","湖南第三代杂交稻大优167在贵州兴义实割亩产达1041.19公斤，单季亩产突破1000公斤；郑麦1860以1347万亩蝉联全国小麦推广面积第一。","本期聚焦农业保险、数字乡村、种植业十五五规划等政策部署，兼顾秋粮救灾资金下达与种业振兴进展，并收录杂交稻高产、郑麦1860推广等产业突破，以及小麦收获监测、气候韧性作物、农光互补等前沿研究。\n\n---\n*本日报内容整理自公开来源，学术论文元数据来自 OpenAlex 等开放接口；外文资料已译为中文，翻译与摘要仅供参考；引用与决策请以官方原文与正式出版物为准。*",[14,46,68,87,108,123,143,160,214,248,264,295,321,338,356],{"id":15,"title":16,"url":17,"summary":18,"summary_zh":19,"content":20,"source_name":21,"source_url":19,"published_at":22,"category":23,"cover_url":19,"hotness":24,"is_selected":25,"score":26,"score_detail":27,"sources":35,"tags":37,"view_count":44,"doi":19,"paper":19,"created_at":45},2694,"加快农业保险高质量发展实施方案印发——2030年保险深度1.9%、密度1200元\u002F人","https:\u002F\u002Fjcs.moa.gov.cn\u002Fgzdt\u002F202609\u002Ft20260915_6487691.htm","财政部、农业农村部、金融监管总局、国家林草局联合印发《关于加快农业保险高质量发展的实施方案》,到2030年农业保险深度达到1.9%、密度达到1200元\u002F人、科技投入强度达到1%,稻谷、小麦、玉米三大粮食作物覆盖率稳定在90%左右,综合费用率不高于20%。",null,"各省、自治区、直辖市人民政府，新疆生产建设兵团，国务院有关部委、有关直属机构：\n\n经国务院同意，现将《关于加快农业保险高质量发展的实施方案》印发给你们，请抓好贯彻落实。\n\n财政部 农业农村部\n\n金融监管总局 国家林草局\n\n2026 年 9 月 8 日\n\n**关于加快农业保险高质量发展的实施方案**\n\n为进一步加快农业保险高质量发展，稳定农户收益，服务保障国家粮食安全和农业生产能力，经国务院同意，制定本实施方案。\n\n一、总体要求\n\n坚持以习近平新时代中国特色社会主义思想为指导，深入贯彻党的二十大和二十届历次全会精神，认真落实四中全会部署，全面贯彻习近平总书记关于“三农”工作的重要论述，完整准确全面贯彻新发展理念，加快构建新发展格局，着力推动高质量发展，遵循政府引导、市场运作、自主自愿、协同推进、改革创新的原则，充分发挥农业保险在价格、补贴、保险“三位一体”农业支持政策体系中的重要一环作用。\n\n到 2030 年，基本建成与农户风险保障需求相契合、与现代农业发展相适应、中央与地方分工负责的多层次农业保险体系，总体达到国际先进水平，实现补贴有效率、产业有保障、农民得实惠、机构可持续的多赢格局，政策更加普惠，发展更加均衡。农业保险深度（保费\u002F第一产业增加值）达到 1.9%，农业保险密度（保费\u002F第一产业就业人数）达到 1200 元\u002F人，农业保险科技投入强度（农业保险机构科技创新投入\u002F保费）达到 1%。稻谷、小麦、玉米三大粮食作物农业保险覆盖率稳定在 90%左右，提升特色农业保险对特色农业产业的保障水平，更好发挥富农强农作用。农业保险综合费用率不高于 20%。\n\n二、聚焦农业保险发展重点\n\n**（一）健全多层次农业保险体系。**坚持中央与地方共同推动、各部门分工负责，构建复合、多元、多层次的农业保险体系。加强对关系国计民生和粮食安全的大宗农产品以及地方特色农业的保障，稳步推进物化成本保险、完全成本保险、收入保险等险种发展，加强对小农户和农民合作社、家庭农场等新型农业经营主体的保障，强化对防止返贫致贫对象的支持。建立健全投保人、直保端、再保端等多方参与的风险分散链条，发挥好大灾风险准备金作用。\n\n**（二）增强种植业农产品风险保障。**加强主粮、棉花、油料、糖料、橡胶等大宗农产品风险保障，提高区域间农业保险发展均衡性，完善省以下保费分担机制。逐步降低产粮大县农业保险县级保费补贴承担比例，推动扩大稻谷、小麦、玉米、大豆完全成本保险和种植收入保险投保面积。完善对马铃薯、油菜、花生、甜菜、青稞等农产品以及稻谷、小麦、玉米制种的保险支持保障。\n\n**（三）促进养殖业保险规范发展。**完善养殖企业和养殖场（户）养殖保险模式，采用电子耳标、生物识别等技术加强养殖数量监控。动态调整能繁母猪、育肥猪、奶牛等养殖业保险保障水平，鼓励根据不同养殖方式提供差异化风险保障方案。做好牦牛、藏系羊等涉藏特定品种保险支持保障。\n\n**（四）推动林草保险提质增效。**坚持预防与保障并重，与现代林草业发展相适应，推动构建林草综合保险体系。完善公益林保险和商品林保险政策，探索适合相关林业保险险种特点的承保理赔模式。保险机构要合理确定森林保险防灾减损费用计提比例，据实列支。鼓励保险机构开展草原、湿地、国家公园、碳汇等保险试点，丰富林草保险产品。\n\n**（五）支持地方特色发展。**鼓励各地结合实际制定特色农业保险发展政策，加强相关资金统筹，加大支持力度，扩大保险范围，积极发展蔬菜、水果、肉牛、肉羊、禽类、渔业、林下经济等特色农业保险。\n\n**（六）完善产品供给体系。**健全“政策险+商业险”、“基本险+补充险”的农业保险产品供给体系。鼓励各地结合实际在物化成本保险等提供基本保险保障的险种基础上，设计开发相关补充保险，形成更高保障。鼓励各地因地制宜发展农业气象指数保险。支持保险机构发展商业性农业保险，开发便利农户投保的综合型保险保障方案。\n\n**（七）推广“农业保险+”模式。**深化农业保险与信贷、担保、期货等金融工具协同，探索保单质押、联合分担风险等模式。发挥农业保险增信功能，提高投保农户信用等级，促进涉农数据、科技、资产等要素资源融合，引导加大金融资源投入。\n\n**（八）逐步拓宽服务领域。**鼓励保险机构根据农业发展需要以市场化方式提供覆盖农林牧渔、涉农产业上下游、农民人身安全等方面风险的保险产品，探索开展农产品加工、仓储、运输、质量保险及高标准农田工程质量保险，为农业对外合作提供保险服务。鼓励地方和保险机构提供大棚、农房、农机、仓库等农业生产设施设备保险，以及农业绿色发展、智慧农业、民族村寨等领域保险。\n\n三、优化农业保险运行机制\n\n**（九）优化完善承保管理。**财政、发展改革、农业农村、保险监管、林业草原等部门及保险机构加强信息互通，共享农（林）地确权、流转、目标价格补贴面积以及农产品成本调查、畜禽存出栏量、病死猪无害化处理等农业生产经营数据。逐步推行“一户一单”承保模式。保险监管部门指导保险机构制定农业保险精准承保规范，提升可操作性。保险机构应加强农业保险承保精准性管理，开展验标和承保信息审核，集体投保类业务逐步提高抽查验标比例，规模经营主体投保类业务实现全部验标。\n\n**（十）加强财政补贴管理。**强化保费补贴资金管理，加强补贴资金所涉投保信息与农业生产经营数据、历史投保数据的比对核验，提高财政资金使用效益。及时向保险机构拨付保费补贴资金，优化资金拨付方式。鼓励各地实行省级财政部门与保险机构省级分公司“省级对省级”结算等模式。\n\n**（十一）完善查勘定损制度。**农业农村、保险监管、林业草原等部门结合当地种植、养殖、林业生产实际，指导保险机构制定分类或分险种查勘定损操作规范，明确查勘、抽样、定损等工作流程和标准。农业农村、林业草原等部门配合做好灾后查勘和灾损核定工作。\n\n**（十二）提升理赔服务质效。**保险监管部门指导保险机构制定完善农业保险理赔实施规范，提升理赔效率和精准度。保险机构应完善基层服务网络，简化手续、优化流程、赔款到户，建立农业大灾快速理赔响应机制，针对重大自然灾害和事故合理预付部分赔偿金，支持农户恢复生产。保险机构应通过银行转账等非现金方式将保险赔款直接支付给被保险人。\n\n**（十三）鼓励开展风险减量管理。**健全风险减量管理机制，增强事前防灾减灾、事中救灾减损、事后及时赔付相结合的一体化服务能力，推动农业保险从单一事后理赔向全流程风险管理转型。保险机构可与农业农村、林业草原、气象等领域社会化服务机构合作，开展防灾减损工作。\n\n**（十四）健全监督管理机制。**健全农业保险领域常态化监督机制，财政、农业农村、保险监管、林业草原等部门加强联动，加大监督力度。对虚构虚增保险标的、虚假理赔、骗取套取保费补贴等违法违规行为，加大打击和惩戒力度，依法依规予以处理。\n\n四、夯实农业保险发展基础\n\n**（十五）强化信息化支撑。**持续推进全国农业保险数据信息系统、全国农业保险信息管理平台建设。统一农业保险数据标准，加强部门间、中央与地方间农业保险数据信息共享。加快推动农业保险行业数字化转型，促进业务流程智能化、标准化。\n\n**（十六）推进风险区划工作。**推进三大粮食作物、主要畜产品等重要农产品保险风险区划工作，适时发布风险区划结果和保险费率参考。探索开展地方特色农业保险风险区划工作。\n\n**（十七）加强科技应用。**保险机构应加大科技投入强度，合理应用无人机、遥感、物联网、人工智能、区块链、云计算等技术工具，提高保险服务精准度。鼓励保险机构探索开发农业灾害风险模型。制定农业保险科技应用规范或标准。保险机构应开展承保理赔信息实名校验和身份认证。\n\n**（十八）加强遴选管理。**按照适度竞争原则，结合服务能力、风控能力合理确定农业保险承保机构。各省份根据保费规模等因素统筹确定承保机构数量，承保机构一经确定应保持相对稳定，服务有效期一般不少于 3 年。开展承保机构绩效评价，强化绩效评价结果应用，做好承保机构动态调整工作。审慎评估农业保险市场环境和保险机构服务能力，加强经营资格管理，优化准入退出机制。\n\n**（十九）健全政策法规。**适应农业保险发展态势和高质量发展需要，推动适时修订《农业保险条例》，进一步加强农业保险法治建设。\n\n五、健全农业保险大灾风险分散机制\n\n**（二十）完善大灾风险准备金管理。**科学设置农业保险各险种大灾风险准备金计提比例，完善大灾风险准备金触发使用标准。保险机构按照独立运作、因地制宜、分级管理、统筹使用的原则，加强大灾风险准备金使用规范性管理，进一步发挥大灾风险准备金作用。\n\n**（二十一）大力发展农业再保险。**按照约定分保和市场化分保相结合的发展模式，健全农业再保险制度。完善约定分保机制和流程，优化大灾超赔保障。鼓励发展商业性再保险，逐步提高市场化业务比重。推动完善农业再保险机构治理机制，提高运行规范性和发展可持续性。\n\n**（二十二）健全风险分散机制。**研究建立农业保险大灾风险基金，完善农业保险大灾风险分散链条。加强农业保险赔付资金与政府救灾资金协同运用。\n\n六、做好组织实施工作\n\n各地区、各有关部门要高度重视农业保险工作，夯实工作基础，形成工作合力，更好满足“三农”主体风险保障需求。各省级人民政府加强组织领导，统筹推进本行政区域内农业保险规划发展、资源统筹、政策宣传等各项工作，发挥农业保险工作小组作用，组织有关部门和保险机构加强协同配合，确保各项任务落实见效。各有关部门按职责分工做好政策设计、资金安排、监督管理等工作。保险机构切实提高服务质效，可根据业务需要设立协保员，为承保理赔等服务提供便利。","农业农村部计划财务司 2026年9月8日","2026-09-08T00:00:00Z","政策",10,true,92,{"impact":28,"substance":29,"depth":30,"authority":31,"freshness":32,"relevant":33,"comment":34},28,24,19,15,6,1,"四部门联合印发的全国性农业保险高质量发展实施方案，明确2030年保险深度1.9%、密度1200元\u002F人等量化目标，条款与数据详实，权威性和政策影响力突出，值得进入每日精选。",[36],{"name":21,"url":17},[38,39,40,41,42,43],"数字乡村","农业遥感","粮食安全","农业保险","风险区划","财政补贴",0,"2026-09-17T00:04:35.464456Z",{"id":47,"title":48,"url":49,"summary":50,"summary_zh":19,"content":19,"source_name":51,"source_url":19,"published_at":52,"category":53,"cover_url":19,"hotness":24,"is_selected":25,"score":54,"score_detail":55,"sources":60,"tags":62,"view_count":44,"doi":19,"paper":19,"created_at":67},2695,"数字乡村建设路线图——8项指标2030年5G通达率超95%、农业科技进步贡献率67%、农村网络零售额3.5万亿元","https:\u002F\u002Fm.chinanews.com\u002Fwap\u002Fdetail\u002Fcht\u002Fzw\u002F10695973.shtml","中国信通院产业与规划研究所所长徐志发解读《行动计划》:十四五期间行政村5G通达率超95%、农村互联网普及率提升至69.5%,城乡互联网普及率差异缩小8.3个百分点;到2030年,农业科技进步贡献率将提升至67%,全国农村网络零售额将达3.5万亿元。","中国新闻网 2026年9月14日","2026-09-14T00:00:00Z","报道",91,{"impact":28,"substance":29,"depth":56,"authority":57,"freshness":58,"relevant":33,"comment":59},17,14,8,"国家级数字乡村路线图，含2030年多项量化指标与权威解读，信息增量大，值得进入每日精选。",[61],{"name":51,"url":49},[63,38,64,65,66],"农村电商","5G","政策解读","农业科技进步","2026-09-17T00:04:35.522858Z",{"id":69,"title":70,"url":71,"summary":72,"summary_zh":19,"content":19,"source_name":73,"source_url":19,"published_at":52,"category":23,"cover_url":19,"hotness":24,"is_selected":25,"score":54,"score_detail":74,"sources":79,"tags":81,"view_count":44,"doi":19,"paper":19,"created_at":86},2692,"第十八届中国国际种业博览会发布十四五育种攻关成果90项——农业农村部推进种业振兴","https:\u002F\u002Fwww.moa.gov.cn\u002Fxw\u002Fqg\u002F202609\u002Ft20260914_6487655.htm","第十八届中国国际种业博览会9月10—12日在合肥举办,首次集中发布十四五国家农作物育种联合攻关90项代表性成果(突破性品种73项、育种技术创新11项、骨干亲本创制6项),首次独立设置政策解读专场,首次设立数智种业与生物育种展区。","农业农村部 2026年9月14日",{"impact":75,"substance":76,"depth":77,"authority":31,"freshness":58,"relevant":33,"comment":78},27,23,18,"农业农村部发布的全国性种业振兴成果，含90项育种攻关成果与政策解读专场，信息增量与权威性俱佳，值得进入每日精选。",[80],{"name":73,"url":71},[82,83,65,84,85],"种业振兴","生物育种","育种攻关","数智种业","2026-09-17T00:04:35.332594Z",{"id":88,"title":89,"url":90,"summary":91,"summary_zh":19,"content":19,"source_name":92,"source_url":19,"published_at":93,"category":23,"cover_url":19,"hotness":24,"is_selected":25,"score":94,"score_detail":95,"sources":99,"tags":101,"view_count":44,"doi":19,"paper":19,"created_at":107},2691,"财政部下达农业生产救灾资金17.63亿元支持秋粮生产——奋战100天抗灾夺丰收","https:\u002F\u002Fwww.moa.gov.cn\u002Fxw\u002Fqg\u002F202609\u002Ft20260916_6487721.htm","财政部下达农业生产救灾资金17.63亿元,支持河南、山东、安徽、江苏、河北等秋粮主产区抗灾夺丰收,重点用于灾后恢复生产、田间管理、防灾减灾设施建设等。","农业农村部 2026年9月16日","2026-09-16T00:00:00Z",90,{"impact":75,"substance":96,"depth":97,"authority":31,"freshness":24,"relevant":33,"comment":98},22,16,"财政部下达17.63亿元农业生产救灾资金，覆盖豫鲁皖苏冀等秋粮主产区，属全国性财政支农政策，金额与用途明确、信源权威且时效性强，值得进入每日精选。",[100],{"name":92,"url":90},[102,103,104,105,106],"防灾减灾","财政支农","秋粮生产","救灾资金","灾后复产","2026-09-17T00:04:35.268712Z",{"id":109,"title":110,"url":111,"summary":112,"summary_zh":19,"content":19,"source_name":113,"source_url":19,"published_at":114,"category":23,"cover_url":19,"hotness":24,"is_selected":25,"score":94,"score_detail":115,"sources":117,"tags":119,"view_count":44,"doi":19,"paper":19,"created_at":122},2685,"中央网信办有关负责人就《数字乡村高质量发展行动计划(2026—2030年)》答记者问","https:\u002F\u002Fbig5.china.com.cn\u002Fgate\u002Fbig5\u002Fnews.china.com.cn\u002F2026-09\u002F11\u002Fcontent_118691683.shtml","中央网信办有关负责人就《行动计划》出台背景、十四五成效及重点任务答记者问。十四五期间行政村5G通达率超95%、农村互联网普及率提升至69.5%、农村成年人具备初级及以上数字素养与技能占比超50%、2025年农村网络零售额突破3万亿元,较十三五末增长67.6%。","中国网 2026年9月11日","2026-09-11T00:00:00Z",{"impact":28,"substance":76,"depth":77,"authority":31,"freshness":32,"relevant":33,"comment":116},"中央网信办就数字乡村五年行动计划答记者问，含5G通达率、数字素养、农村网络零售额等权威数据，政策层级高、信息增量足，值得进入每日精选。",[118],{"name":113,"url":111},[63,120,38,121,64],"十五五","数字素养","2026-09-17T00:04:34.853359Z",{"id":124,"title":125,"url":126,"summary":127,"summary_zh":19,"content":128,"source_name":129,"source_url":19,"published_at":130,"category":23,"cover_url":19,"hotness":24,"is_selected":131,"score":132,"score_detail":133,"sources":135,"tags":137,"view_count":44,"doi":19,"paper":19,"created_at":142},2686,"全国种植业发展十五五规划印发——农业农村部部署未来5年种植业高质量发展","https:\u002F\u002Fnyncj.wuhan.gov.cn\u002Fxwzx_25\u002Fxxlb\u002F202609\u002Ft20260916_2848735.html","农业农村部9月7日印发《全国种植业发展十五五规划》,贯彻落实十五五规划纲要与《加快农业农村现代化十五五规划》部署,科学引领未来5年种植业高质量发展,增强粮食等重要农产品供给保障能力。","[导航区(0) ALT+1](javascript:; \"导航区\")[视窗区(0) ALT+2](javascript:; \"视窗区\")[交互区(2) ALT+3](javascript:; \"交互区\")[服务区(0) ALT+4](javascript:; \"服务区\")[列表区(0) ALT+5](javascript:; \"列表区\")[正文区(0) ALT+6](javascript:; \"正文区\")[开启显示](javascript:; \"开启显示\")[开启大鼠标](javascript:; \"开启大鼠标\")[开启辅助线](javascript:; \"开启辅助线\")[黑底白字](javascript:; \"点击切换至黑底白字\")[语速正常](javascript:; \"切换语速：当前语速为正常\")[开启静音](javascript:; \"开启静音\")[开启指读](javascript:; \"开启指读\")[开启连读](javascript:; \"开启连读\")[字号放大](javascript:; \"文字放大\")[字号缩小](javascript:; \"文字已经缩小到最小\")[页面放大](javascript:; \"页面放大\")[页面缩小](javascript:; \"页面已经缩小到最小\")[重置](javascript:; \"重置\")[操作说明](https:\u002F\u002Fwza.xinmeinet.cn\u002Fhelp.html \"无障碍操作说明\")[快捷方式](javascript:; \"快捷方式\")[开启读屏](javascript:; \"开启读屏\")[退出](javascript:; \"退出\")\n\n[开启无障碍](https:\u002F\u002Fnyncj.wuhan.gov.cn\u002Fxwzx_25\u002Fxxlb\u002F202609\u002Ft20260916_2848735.html \"开启无障碍\")[返回顶部](https:\u002F\u002Fnyncj.wuhan.gov.cn\u002Fxwzx_25\u002Fxxlb\u002F202609\u002Ft20260916_2848735.html \"返回顶部\")\n\n[字号(默认)](https:\u002F\u002Fnyncj.wuhan.gov.cn\u002Fxwzx_25\u002Fxxlb\u002F202609\u002Ft20260916_2848735.html \"字号\")[朗读(禁用)](https:\u002F\u002Fnyncj.wuhan.gov.cn\u002Fxwzx_25\u002Fxxlb\u002F202609\u002Ft20260916_2848735.html \"朗读\")[配色(默认)](https:\u002F\u002Fnyncj.wuhan.gov.cn\u002Fxwzx_25\u002Fxxlb\u002F202609\u002Ft20260916_2848735.html \"配色\")[退出](https:\u002F\u002Fnyncj.wuhan.gov.cn\u002Fxwzx_25\u002Fxxlb\u002F202609\u002Ft20260916_2848735.html \"退出\")\n\n2848735\n\n农业农村部关于印发《全国种植业发展“十五五”规划》的通知\n\n20\n\n农业农村部\n\n2026-09-16\n\n16946\n\n信息联播\n\n[![Image 2](https:\u002F\u002Fnyncj.wuhan.gov.cn\u002Fmaterial\u002Fnyncj\u002Fimages\u002Flogo.png)](https:\u002F\u002Fnyncj.wuhan.gov.cn\u002Fxwzx_25\u002Fxxlb\u002F202609\u002Ft20260916_2848735.html#)\n\n[网站首页](https:\u002F\u002Fnyncj.wuhan.gov.cn\u002F)[政府信息公开](https:\u002F\u002Fnyncj.wuhan.gov.cn\u002Fzwgk_25\u002F)[政务服务](http:\u002F\u002Fzwfw.hubei.gov.cn\u002Fs\u002Fweb\u002Fbszn\u002Fbmsy.html?department=114201000118849994)[新闻中心](https:\u002F\u002Fnyncj.wuhan.gov.cn\u002Fxwzx_25\u002F)[公众互动](https:\u002F\u002Fnyncj.wuhan.gov.cn\u002Fgzhd_25\u002Fzxts\u002F)[专题专栏](https:\u002F\u002Fnyncj.wuhan.gov.cn\u002Fztzl_25\u002F)\n\n[中国政府网](http:\u002F\u002Fwww.gov.cn\u002F)_|_[武汉市人民政府网](http:\u002F\u002Fwww.wuhan.gov.cn\u002F)\n\n![Image 3](https:\u002F\u002Fnyncj.wuhan.gov.cn\u002Fmaterial\u002Fnyncj\u002Fimages\u002Flogo.png)\n\n[智能问答](https:\u002F\u002Fnyncj.wuhan.gov.cn\u002Fznwd.html)![Image 4](https:\u002F\u002Fnyncj.wuhan.gov.cn\u002Fmaterial\u002Fnyncj\u002Fimages\u002Fsearch.png)全站检索\n\n*   [![Image 5](https:\u002F\u002Fnyncj.wuhan.gov.cn\u002Fmaterial\u002Fnyncj\u002Fimages\u002Ficon01.png)首页](https:\u002F\u002Fnyncj.wuhan.gov.cn\u002F)\n*   [![Image 6](https:\u002F\u002Fnyncj.wuhan.gov.cn\u002Fmaterial\u002Fnyncj\u002Fimages\u002Ficon02.png)政府信息公开](https:\u002F\u002Fnyncj.wuhan.gov.cn\u002Fzwgk_25\u002Fxxgkzn\u002F)\n*   [![Image 7](https:\u002F\u002Fnyncj.wuhan.gov.cn\u002Fmaterial\u002Fnyncj\u002Fimages\u002Ficon03.png)政务服务](http:\u002F\u002Fzwfw.hubei.gov.cn\u002Fs\u002Fweb\u002Fbszn\u002Fbmsy.html?department=114201000118849994)\n*   [![Image 8](https:\u002F\u002Fnyncj.wuhan.gov.cn\u002Fmaterial\u002Fnyncj\u002Fimages\u002Ficon04.png)新闻中心](https:\u002F\u002Fnyncj.wuhan.gov.cn\u002Fxwzx_25\u002F)\n*   [![Image 9](https:\u002F\u002Fnyncj.wuhan.gov.cn\u002Fmaterial\u002Fnyncj\u002Fimages\u002Ficon05.png)公众互动](https:\u002F\u002Fnyncj.wuhan.gov.cn\u002Fgzhd_25\u002Fzxts\u002F)\n*   [![Image 10](https:\u002F\u002Fnyncj.wuhan.gov.cn\u002Fmaterial\u002Fnyncj\u002Fimages\u002Ficon06.png)专题专栏](https:\u002F\u002Fnyncj.wuhan.gov.cn\u002Fztzl_25\u002F)\n\n![Image 11](https:\u002F\u002Fnyncj.wuhan.gov.cn\u002Fmaterial\u002Fnyncj\u002Fimages\u002Ficon15.png) 当前位置： [首页](https:\u002F\u002Fnyncj.wuhan.gov.cn\u002F \"首页\")>[新闻中心](https:\u002F\u002Fnyncj.wuhan.gov.cn\u002Fxwzx_25\u002F \"新闻中心\")>[信息联播](https:\u002F\u002Fnyncj.wuhan.gov.cn\u002Fxwzx_25\u002Fxxlb\u002F \"信息联播\")\n\n# 农业农村部关于印发《全国种植业发展“十五五”规划》的通知\n\n 发布日期： 2026-09-16 15:13 来源： 农业农村部 \n\n各省、自治区、直辖市农业农村（农牧）厅（局、委），新疆生产建设兵团农业农村局：\n\n为贯彻落实《中华人民共和国国民经济和社会发展第十五个五年规划纲要》、《加快农业农村现代化“十五五”规划》有关部署，科学引领“十五五”种植业高质量发展，增强粮食等重要农产品供给保障能力，我部编制了《全国种植业发展“十五五”规划》。现印发给你们，请结合实际，认真组织实施。\n\n农业农村部\n\n2026年9月7日\n\n附件下载：\n\n[农业农村部关于印发《全国种植业发展“十五五”规划》的通知.pdf](https:\u002F\u002Fwww.agri.cn\u002Fzxfile\u002Freader?file=https:\u002F\u002Fwww.agri.cn\u002Fzx\u002Fhxgg\u002F202609\u002FP020260915557885151678.pdf)\n\n附件：\n\n本网站所收集的部分公开资料来源于互联网，转载的目的在于传递更多信息及用于网络分享，并不代表本站赞同其观点和对其真实性负责，也不构成任何其他建议。如果您发现网站上有侵犯您的知识产权的作品，请与我们取得联系，我们会及时修改或删除。\n\n### ![Image 12](https:\u002F\u002Fnyncj.wuhan.gov.cn\u002Fmaterial\u002Fimages\u002Flink.svg)\n\n【下载】\n\n[](http:\u002F\u002Fsns.qzone.qq.com\u002Fcgi-bin\u002Fqzshare\u002Fcgi_qzshare_onekey?url=https%3A%2F%2Fnyncj.wuhan.gov.cn%2Fxwzx_25%2Fxxlb%2F202609%2Ft20260916_2848735.html&title=%E5%86%9C%E4%B8%9A%E5%86%9C%E6%9D%91%E9%83%A8%E5%85%B3%E4%BA%8E%E5%8D%B0%E5%8F%91%E3%80%8A%E5%85%A8%E5%9B%BD%E7%A7%8D%E6%A4%8D%E4%B8%9A%E5%8F%91%E5%B1%95%E2%80%9C%E5%8D%81%E4%BA%94%E4%BA%94%E2%80%9D%E8%A7%84%E5%88%92%E3%80%8B%E7%9A%84%E9%80%9A%E7%9F%A5-%E6%AD%A6%E6%B1%89%E5%B8%82%E5%86%9C%E4%B8%9A%E5%86%9C%E6%9D%91%E5%B1%80&desc=&summary=&site=%E5%86%9C%E4%B8%9A%E5%86%9C%E6%9D%91%E9%83%A8%E5%85%B3%E4%BA%8E%E5%8D%B0%E5%8F%91%E3%80%8A%E5%85%A8%E5%9B%BD%E7%A7%8D%E6%A4%8D%E4%B8%9A%E5%8F%91%E5%B1%95%E2%80%9C%E5%8D%81%E4%BA%94%E4%BA%94%E2%80%9D%E8%A7%84%E5%88%92%E3%80%8B%E7%9A%84%E9%80%9A%E7%9F%A5-%E6%AD%A6%E6%B1%89%E5%B8%82%E5%86%9C%E4%B8%9A%E5%86%9C%E6%9D%91%E5%B1%80)[](http:\u002F\u002Fconnect.qq.com\u002Fwidget\u002Fshareqq\u002Findex.html?url=https%3A%2F%2Fnyncj.wuhan.gov.cn%2Fxwzx_25%2Fxxlb%2F202609%2Ft20260916_2848735.html&title=%E5%86%9C%E4%B8%9A%E5%86%9C%E6%9D%91%E9%83%A8%E5%85%B3%E4%BA%8E%E5%8D%B0%E5%8F%91%E3%80%8A%E5%85%A8%E5%9B%BD%E7%A7%8D%E6%A4%8D%E4%B8%9A%E5%8F%91%E5%B1%95%E2%80%9C%E5%8D%81%E4%BA%94%E4%BA%94%E2%80%9D%E8%A7%84%E5%88%92%E3%80%8B%E7%9A%84%E9%80%9A%E7%9F%A5-%E6%AD%A6%E6%B1%89%E5%B8%82%E5%86%9C%E4%B8%9A%E5%86%9C%E6%9D%91%E5%B1%80&source=%E5%86%9C%E4%B8%9A%E5%86%9C%E6%9D%91%E9%83%A8%E5%85%B3%E4%BA%8E%E5%8D%B0%E5%8F%91%E3%80%8A%E5%85%A8%E5%9B%BD%E7%A7%8D%E6%A4%8D%E4%B8%9A%E5%8F%91%E5%B1%95%E2%80%9C%E5%8D%81%E4%BA%94%E4%BA%94%E2%80%9D%E8%A7%84%E5%88%92%E3%80%8B%E7%9A%84%E9%80%9A%E7%9F%A5-%E6%AD%A6%E6%B1%89%E5%B8%82%E5%86%9C%E4%B8%9A%E5%86%9C%E6%9D%91%E5%B1%80&desc=&pics=https%3A%2F%2Fnyncj.wuhan.gov.cn%2Fmaterial%2Fnyncj%2Fimages%2Flogo.png)[](http:\u002F\u002Fservice.weibo.com\u002Fshare\u002Fshare.php?url=https%3A%2F%2Fnyncj.wuhan.gov.cn%2Fxwzx_25%2Fxxlb%2F202609%2Ft20260916_2848735.html&title=%E5%86%9C%E4%B8%9A%E5%86%9C%E6%9D%91%E9%83%A8%E5%85%B3%E4%BA%8E%E5%8D%B0%E5%8F%91%E3%80%8A%E5%85%A8%E5%9B%BD%E7%A7%8D%E6%A4%8D%E4%B8%9A%E5%8F%91%E5%B1%95%E2%80%9C%E5%8D%81%E4%BA%94%E4%BA%94%E2%80%9D%E8%A7%84%E5%88%92%E3%80%8B%E7%9A%84%E9%80%9A%E7%9F%A5-%E6%AD%A6%E6%B1%89%E5%B8%82%E5%86%9C%E4%B8%9A%E5%86%9C%E6%9D%91%E5%B1%80&pic=https%3A%2F%2Fnyncj.wuhan.gov.cn%2Fmaterial%2Fnyncj%2Fimages%2Flogo.png&appkey=)#### [微信扫一扫：分享 ![Image 13](blob:http:\u002F\u002Flocalhost\u002Fed987b1ba82fd624ef70ab522623e922) 微信里点“发现”，扫一下 二维码便可将本文分享至朋友圈。](javascript:;)\n\n新媒体矩阵\n\n[无障碍](javascript:void(0);)[长者专区](https:\u002F\u002Fnyncj.wuhan.gov.cn\u002Fzzzq\u002Findex.shtml)\n\n![Image 14](https:\u002F\u002Fnyncj.wuhan.gov.cn\u002Fmaterial\u002Fnyncj\u002Fimages\u002Fcode_img1.jpg)\n\n\"武汉农业农村\"微信公众号\n\n![Image 15](https:\u002F\u002Fnyncj.wuhan.gov.cn\u002Fmaterial\u002Fnyncj\u002Fimages\u002Fcode_img2.jpg)\n\n\"武汉农业农村\"新浪微博\n\n![Image 16](https:\u002F\u002Fnyncj.wuhan.gov.cn\u002Fmaterial\u002Fnyncj\u002Fimages\u002Fcode_img5.jpg)\n\n\"武汉农业农村\"头条号\n\n*   [![Image 17](https:\u002F\u002Fnyncj.wuhan.gov.cn\u002Fmaterial\u002Fnyncj\u002Fimages\u002Fpic01.png)](http:\u002F\u002F121.43.68.40\u002Fexposure\u002Fjiucuo.html?site_code=4201000046)\n*   [![Image 18](https:\u002F\u002Fnyncj.wuhan.gov.cn\u002Fmaterial\u002Fnyncj\u002Fimages\u002Fpic02.png)](http:\u002F\u002Fbszs.conac.cn\u002Fsitename?method=show&id=060212188CE52154E053022819AC7904)\n\n*   [概况信息](https:\u002F\u002Fnyncj.wuhan.gov.cn\u002Ffzlm\u002Fgkxx\u002F202002\u002Ft20200209_918705.html)\n*   _│_\n*   [隐私声明](https:\u002F\u002Fnyncj.wuhan.gov.cn\u002Ffzlm\u002Fyssm\u002F202002\u002Ft20200209_918706.html)\n*   _│_\n*   [网站地图](https:\u002F\u002Fnyncj.wuhan.gov.cn\u002Ffzlm\u002Fwzdt\u002F)\n\n主办：武汉市农业农村局 | 武汉市委农村工作领导小组办公室 承办：武汉市农业信息化中心 地址：武汉市江汉区八古墩东一巷78号 邮编：430023[鄂公网安备 42010302000223号](http:\u002F\u002Fwww.beian.gov.cn\u002Fportal\u002FregisterSystemInfo?recordcode=42010302000223)\n\n*   电话：027-65652315\n*   办公时间：8:30-12:00 14:30-17:30\n*   [备案号：鄂ICP备18019624号-2](https:\u002F\u002Fbeian.miit.gov.cn\u002F#\u002FIntegrated\u002Findex)\n*   政府网站标识码：4201000046","武汉市农业农村局 2026年9月7日","2026-09-07T00:00:00Z",false,89,{"impact":28,"substance":96,"depth":97,"authority":31,"freshness":58,"relevant":33,"comment":134},"农业农村部印发的全国种植业五年规划，属国家级产业政策文件，权威性与影响层级高，对种植业布局和粮食保供具有指导意义，值得进入每日精选。",[136],{"name":129,"url":126},[138,40,139,140,141],"十五五规划","种植业","高质量发展","农业政策","2026-09-17T00:04:34.926325Z",{"id":144,"title":145,"url":146,"summary":147,"summary_zh":19,"content":19,"source_name":148,"source_url":19,"published_at":93,"category":53,"cover_url":19,"hotness":24,"is_selected":131,"score":149,"score_detail":150,"sources":153,"tags":155,"view_count":44,"doi":19,"paper":19,"created_at":159},2717,"郑麦1860蝉联全国小麦品种推广面积第一——推广面积1347万亩","https:\u002F\u002Fwww.farmer.com.cn\u002F2026\u002F09\u002F16\u002F991028545.html","全国农业技术推广服务中心发布2025年度全国小麦推广面积前十大品种,河南省农业科学院许为钢院士团队长期攻关选育的郑麦1860推广面积1347万亩,继2024年获全国第一名后再次蝉联。同日入选十四五国家农作物育种联合攻关突破性小麦品种选育类成果。","农民日报 2026年9月16日",88,{"impact":151,"substance":96,"depth":97,"authority":57,"freshness":24,"relevant":33,"comment":152},26,"全国小麦推广面积第一的权威数据发布，兼具产业级影响与实质信息增量，值得进入每日精选。",[154],{"name":148,"url":146},[82,40,156,157,158],"小麦","品种推广","农业科技","2026-09-17T00:04:38.494391Z",{"id":161,"title":162,"url":163,"summary":164,"summary_zh":165,"content":19,"source_name":166,"source_url":163,"published_at":167,"category":168,"cover_url":19,"hotness":24,"is_selected":131,"score":169,"score_detail":170,"sources":173,"tags":175,"view_count":44,"doi":180,"paper":181,"created_at":213},2670,"A knowledge-guided machine learning framework for cross-scale wheat harvest monitoring via sample augmentation","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.rse.2026.115671","Accurate monitoring of wheat harvest is crucial for precision agriculture and ensuring food security. However, rapid changes in land surface composition during the harvest period in intensive agricultural regions make it difficult to obtain sufficiently high-confidence ground samples, limiting the performance and generalization of data-driven remote sensing methods. Therefore, this study proposes a Knowledge-Guided Machine Learning (KGML) framework that integrates multi-satellite Earth observation data (PlanetScope, Sentinel-2, and MODIS) to monitor harvest from the field to regional scales. Ground data were collected using vehicle-mounted cameras and smartphones during the 2023 and 2024 wheat harvest periods. The results showed that combining spectral knowledge rules with a Random Forest model (regional accuracy >0.80) generated numerous high-confidence augmented samples from PlanetScope imagery. The augmented dataset was used to train a Hybrid CNN-Transformer-LSTM (HCTL) model with two pathways: Sentinel-2 classification for field-level harvest mapping (overall accuracy = 0.93) and MODIS regression for sub-pixel harvest fraction estimation, which showed high agreement with PlanetScope-derived harvest fractions (R 2 = 0.97, RMSE = 0.07, rRMSE = 0.15). The harvest dates derived from the MODIS harvest fraction time series showed high consistency with field observations (R 2 = 0.82, RMSE = 1.30 days). This framework provides an effective solution for wheat harvest monitoring by bridging the gap between limited ground-truth data and multi-scale satellite observations, thereby supporting food security assessments and informed agricultural management decisions.","准确监测小麦收获对精准农业和保障粮食安全至关重要。然而，在集约化农业区域，收获期地表组成的快速变化使得获取足够高置信度的地面样本变得困难，限制了数据驱动遥感方法的性能和泛化能力。因此，本研究提出了一种知识引导机器学习（KGML）框架，集成多卫星地球观测数据（PlanetScope、Sentinel-2和MODIS），实现从田块到区域尺度的收获监测。地面数据通过车载摄像头和智能手机在2023年和2024年小麦收获期采集。结果表明，将光谱知识规则与随机森林模型相结合（区域精度>0.80），可从PlanetScope影像中生成大量高置信度增强样本。利用该增强数据集训练了混合CNN-Transformer-LSTM（HCTL）模型，该模型包含两条路径：Sentinel-2分类用于田块尺度收获制图（总体精度=0.93），MODIS回归用于亚像元收获比例估算，其结果与PlanetScope-derived收获比例高度一致（R²=0.97，RMSE=0.07，rRMSE=0.15）。由MODIS收获比例时间序列提取的收获日期与田间观测结果高度一致（R²=0.82，RMSE=1.30天）。该框架通过弥合有限地面真值数据与多尺度卫星观测之间的差距，为小麦收获监测提供了有效解决方案，从而支持粮食安全评估和农业管理决策。","Remote Sensing of Environment","2026-09-15T00:00:00Z","论文",87,{"impact":96,"substance":76,"depth":77,"authority":31,"freshness":171,"relevant":33,"comment":172},9,"提出知识引导机器学习框架，融合多源卫星数据实现田块到区域尺度的跨尺度小麦收获监测，方法新颖、精度可靠，对精准农业与粮食安全评估有实质参考价值。",[174],{"name":166,"url":163},[176,177,40,178,179],"智慧农业","农业人工智能","遥感监测","小麦收获","10.1016\u002Fj.rse.2026.115671",{"doi":180,"openalex_id":182,"authors":183,"venue":166,"cited_by_count":44,"oa_url":163,"card":206,"direction":210,"ingested_from":212},"W7213296259",[184,187,189,191,193,195,197,199,202,204],{"name":185,"orcid":186},"Mingchao Shao","https:\u002F\u002Forcid.org\u002F0000-0003-2619-4272",{"name":188,"orcid":19},"Chongya Jiang",{"name":190,"orcid":19},"Jingwei An",{"name":192,"orcid":19},"Haokai Zhu",{"name":194,"orcid":19},"Yue Li",{"name":196,"orcid":19},"Xia Yao",{"name":198,"orcid":19},"Tao Cheng",{"name":200,"orcid":201},"Hengbiao Zheng","https:\u002F\u002Forcid.org\u002F0009-0008-4778-0450",{"name":203,"orcid":19},"Weixing Cao",{"name":205,"orcid":19},"Yan Zhu",{"tldr":207,"method":208,"finding":209,"direction":210,"opportunity":211},"提出知识引导机器学习框架，用样本增强实现田块到区域尺度的冬小麦收获监测。","融合PlanetScope、Sentinel-2、MODIS与车载相机地面数据，","增强样本训练的HCTL模型田块分类精度0.93，区域收获比例R²=0.97，收获日期误差约1.3天。","农业遥感与作物表型","可迁移至其他作物收获监测，并探索知识规则自动化构建与跨区域泛化能力。","openalex","2026-09-16T23:30:30.474537Z",{"id":215,"title":216,"url":217,"summary":218,"summary_zh":219,"content":19,"source_name":220,"source_url":217,"published_at":93,"category":168,"cover_url":19,"hotness":24,"is_selected":131,"score":221,"score_detail":222,"sources":224,"tags":226,"view_count":44,"doi":232,"paper":233,"created_at":247},2625,"Multi-omics and artificial intelligence for climate-resilient and nutrient-enriched food crops: advances, applications and future perspectives","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1931230","Climate change has intensified both abiotic and biotic stresses, threatening global crop productivity, nutritional quality, and agricultural sustainability. These challenges have accelerated the adoption of advanced multi-omics technologies, including genomics, transcriptomics, proteomics, and metabolomics, together with artificial intelligence (AI) to accelerate the development of climate-resilient and nutrient-enriched crops. This review provides an integrated view of the recent advances in AI-enabled multi-omics, genome editing and precision agriculture for climate-resilient and nutrient-rich crops along with emerging trends, current challenges, and future research priorities. Machine learning-enhanced genomic selection approaches such as convolutional neural network (CNN)-based models and transformer models enhance the accuracy of predictions for complex stress-tolerant and nutritional traits. AI-assisted unmanned aerial vehicle (UAV) remote sensing allows measurement of traits at an unprecedented scale and with high-throughput and quantitative phenotyping. AI-driven multi-omics integration approaches, such as pan-omics pipelines, decipher abiotic stress tolerance regulatory networks. The AI-assisted CRISPR-Cas9 genome editing systems have accelerated crop biofortification outcomes by improving target prioritization and guide RNA design. Genome-editing studies have reported enhanced iron and zinc bioavailability in experimental wheat lines, reduced phytic acid content in soybean, and enhanced vitamin and amino acid content in cassava and maize, highlighting the potential of AI-assisted genome-editing approaches for crop biofortification. AI-enabled precision agriculture platforms use AI together with satellite data and Internet of Things (IoT) sensors and predictive modeling to enhance crop management while decreasing environmental resource usage. This review examines data standardization and model interpretability together with access and regulations while it presents a future roadmap for achieving 2050 food security targets. By integrating multi-omics, artificial intelligence, genome engineering, and precision agriculture into a unified framework, this review identifies future research directions and key knowledge gaps for the development of climate-resilient and nutrient-rich crops.","气候变化加剧了非生物与生物胁迫，对全球作物生产力、营养品质和农业可持续性构成威胁。这些挑战加速了先进多组学技术（包括基因组学、转录组学、蛋白质组学和代谢组学）以及人工智能（AI）的应用，以加快气候韧性及营养强化作物的开发。本综述综合阐述了AI赋能的多组学、基因组编辑和精准农业在气候韧性及营养丰富作物方面的最新进展，以及新兴趋势、当前挑战和未来研究重点。机器学习增强的基因组选择方法，如基于卷积神经网络（CNN）的模型和Transformer模型，提高了对复杂耐逆性和营养性状预测的准确性。AI辅助的无人机（UAV）遥感能够以前所未有的规模进行高通量定量表型测量。AI驱动的多组学整合方法，如泛组学流程，可解析非生物胁迫耐受调控网络。AI辅助的CRISPR-Cas9基因组编辑系统通过改进靶标优先级排序和引导RNA设计，加速了作物生物强化成果。基因组编辑研究报告了实验小麦品系中铁和锌生物利用度的提高、大豆中植酸含量的降低，以及木薯和玉米中维生素和氨基酸含量的增强，凸显了AI辅助基因组编辑方法在作物生物强化方面的潜力。AI赋能的精准农业平台利用AI结合卫星数据、物联网（IoT）传感器和预测建模，在减少环境资源使用的同时增强作物管理。本综述审视了数据标准化和模型可解释性以及可及性和监管问题，同时提出了实现2050年粮食安全目标的未来路线图。通过将多组学、人工智能、基因组工程和精准农业整合为统一框架，本综述确定了开发气候韧性及营养丰富作物的未来研究方向和关键知识空白。","Frontiers in Sustainable Food Systems",86,{"impact":96,"substance":96,"depth":30,"authority":57,"freshness":171,"relevant":33,"comment":223},"核心期刊综述，系统梳理AI驱动多组学、基因编辑与精准农业在气候韧性及营养强化作物上的进展，方法新颖、结论可靠，对智慧育种与农业AI方向有较高参考价值。",[225],{"name":220,"url":217},[177,227,228,229,230,231],"精准农业","基因编辑","气候韧性","智慧育种","多组学","10.3389\u002Ffsufs.2026.1931230",{"doi":232,"openalex_id":234,"authors":235,"venue":220,"cited_by_count":44,"oa_url":217,"card":240,"direction":246,"ingested_from":212},"W7213241547",[236,238],{"name":237,"orcid":19},"Surasreeta Paul",{"name":239,"orcid":19},"Sandeep Singh Rana",{"tldr":241,"method":242,"finding":243,"direction":244,"opportunity":245},"综述AI赋能多组学、基因编辑与精准农业，培育气候韧性与营养强化作物。","整合基因组、转录组、蛋白与代谢组学，结合CNN、Transformer、UAV遥","AI辅助多组学与基因编辑可提升耐逆与营养性状预测及生物强化效率。","农业人工智能与决策模型","多组学数据标准化与模型可解释性不足，可研究跨物种可迁移的AI决策框架。","智慧农业 \u002F 农业物联网","2026-09-16T23:30:07.496425Z",{"id":249,"title":250,"url":251,"summary":252,"summary_zh":19,"content":19,"source_name":253,"source_url":19,"published_at":254,"category":53,"cover_url":19,"hotness":24,"is_selected":131,"score":255,"score_detail":256,"sources":258,"tags":260,"view_count":44,"doi":19,"paper":19,"created_at":263},2708,"湖南第三代杂交稻单季亩产突破1000公斤——大优167亩产1041.19公斤","http:\u002F\u002Fwww.hunaas.cn\u002Fshownews.asp?nid=16964","由中国科学院院士、清华大学教授谢道昕担任组长的测产验收专家组,在贵州省兴义市示范基地对湖南省农科院第三代杂交稻新组合大优167、大优895进行实割测产,两个品种亩产均突破1000公斤,其中大优167亩产达到1041.19公斤。","湖南省农科院 2026年9月12日","2026-09-12T00:00:00Z",85,{"impact":75,"substance":96,"depth":97,"authority":57,"freshness":32,"relevant":33,"comment":257},"第三代杂交稻新组合在示范基地实割测产突破亩产1000公斤，属全国性重大育种突破，数据翔实、信源权威，值得进入每日精选。",[259],{"name":253,"url":251},[82,40,261,262],"单产提升","杂交水稻","2026-09-17T00:04:37.740341Z",{"id":265,"title":266,"url":267,"summary":268,"summary_zh":269,"content":19,"source_name":270,"source_url":267,"published_at":167,"category":168,"cover_url":19,"hotness":24,"is_selected":131,"score":255,"score_detail":271,"sources":274,"tags":276,"view_count":44,"doi":280,"paper":281,"created_at":294},2648,"Horticulture-Voltaic: The Earth's Solar Horticulture Turns Every Ray into Food and Power - A Comprehensive Review","https:\u002F\u002Fdoi.org\u002F10.25125\u002Fijoear-sep-2026-8","Horticulture-voltaic systems - the co-location of photovoltaic (PV) electricity generation with horticultural crop production on the same land - are emerging as a central strategy for climate-resilient horticulture. This in-depth review examines the technology, engineering, intercultural operations and empirical evidence for horticulture-voltaics applied to fruit, vegetable and flower crops. We cover solar panel technologies, system architectures, the full design-component and engineering stack (mounting heights of 2.5-5 m, panel spacing and tilt, deep-buried armoured cables, structural safety under ASCE-7-16 wind loads, smart irrigation integration), the electrical architecture (module\u002Fstring voltage, inverter, battery, transformer, grid connection), and intercultural operations adapted for sub-array horticulture. Empirical evidence shows that shade relieves heat and drought stress, with grape +277% (Mediterranean, LER 3.54), tomato and chiltepin doubled or tripled (Arizona), and partial shade increasing floral abundance in flowers. Shading must stay below ~30% for fruit crops and 20-40% for most vegetables and flower crops. With continued research and engineering, horticulture-voltaics can deliver climate-adaptive, resource-efficient and energy-positive horticultural systems.","园艺光伏系统——在同一土地上将光伏（PV）发电与园艺作物生产相结合——正逐渐成为气候适应性园艺的核心策略。这篇深度综述考察了园艺光伏应用于水果、蔬菜和花卉作物的技术、工程、行间作业及实证证据。我们涵盖太阳能电池板技术、系统架构、完整的设计-组件与工程体系（安装高度2.5-5米、板间距与倾角、深埋铠装电缆、ASCE-7-16风荷载下的结构安全、智能灌溉集成）、电气架构（组件\u002F组串电压、逆变器、电池、变压器、电网连接），以及针对子阵列园艺适配的行间作业。实证证据表明，遮阴可缓解高温和干旱胁迫，葡萄增产+277%（地中海地区，LER 3.54），番茄和野生辣椒产量翻倍或增至三倍（亚利桑那州），部分遮阴增加了花卉的花量。水果作物的遮阴率须保持在约30%以下，大多数蔬菜和花卉作物为20-40%。通过持续的研究与工程实践，园艺光伏能够提供气候适应性、资源高效且能量正输出的园艺系统。","International Journal of Environmental and Agriculture Research",{"impact":96,"substance":76,"depth":30,"authority":272,"freshness":58,"relevant":33,"comment":273},13,"系统综述农光互补园艺的技术架构与实证数据，提出遮光阈值等可操作结论，对设施农业与新能源融合具参考价值。",[275],{"name":270,"url":267},[176,229,277,278,279],"农光互补","设施园艺","光伏农业","10.25125\u002Fijoear-sep-2026-8",{"doi":280,"openalex_id":282,"authors":283,"venue":270,"cited_by_count":44,"oa_url":287,"card":288,"direction":246,"ingested_from":212},"W7213346284",[284],{"name":285,"orcid":286},"Jadala Shankaraswamy","https:\u002F\u002Forcid.org\u002F0000-0002-5623-6384","https:\u002F\u002Fijoear.com\u002Fassets\u002Farticles_menuscripts\u002Ffile\u002FIJOEAR-SEP-2026-8.pdf",{"tldr":289,"method":290,"finding":291,"direction":292,"opportunity":293},"综述园艺光伏系统，即同一土地上光伏发电与园艺作物共址，涵盖技术、工程与实证。","综述光伏技术、系统架构、工程设计与间作操作，汇总多地实证数据。","适度遮阴缓解热旱胁迫，葡萄增产277%，番茄等倍增，遮阴需低于30%。","农业绿色发展与碳","可探索不同气候区园艺光伏最优遮阴阈值与作物-光伏协同设计模型。","2026-09-16T23:30:12.350469Z",{"id":296,"title":297,"url":298,"summary":299,"summary_zh":19,"content":19,"source_name":300,"source_url":19,"published_at":19,"category":168,"cover_url":19,"hotness":24,"is_selected":131,"score":301,"score_detail":302,"sources":305,"tags":307,"view_count":44,"doi":19,"paper":311,"created_at":320},2735,"面向2035:中国农业的未来业态与战略路径——生态化、智能化、定制化、设施化、工程化与韧性化","https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1076373354_120052222","中国农业科学院科技管理局、油料作物研究所、农业经济与发展研究所、战略研究中心联合发表,文章基于国家中长期发展战略视野,梳理我国农业面临的内在制约、外部机遇与发展动力,探讨未来农业发展生态化、智能化、定制化、设施化、工程化与韧性化六大战略趋势,并提出以科技创新为核心引擎、制度政策为重要保障、现代设施为物质基础、市场机制为调节导向的四位一体协同支撑框架。","中国科学院院刊 2026年第7期",84,{"impact":151,"substance":96,"depth":77,"authority":31,"freshness":303,"relevant":33,"comment":304},3,"国家级科研机构在核心期刊提出的农业中长期战略框架，六大趋势与四位一体支撑体系具有全国性指导价值，虽时效性偏弱但值得进入每日精选。",[306],{"name":300,"url":298},[176,308,158,309,310],"设施农业","未来农业","农业战略",{"doi":19,"openalex_id":19,"authors":312,"venue":19,"cited_by_count":44,"oa_url":19,"card":313,"direction":317,"ingested_from":319},[],{"tldr":314,"method":315,"finding":316,"direction":317,"opportunity":318},"梳理中国农业未来六大战略趋势并提出四位一体协同支撑框架。","基于国家中长期战略视野的战略研判与趋势分析。","农业将走向生态化、智能化、定制化、设施化、工程化与韧性化。","数字乡村与农业信息化","六大趋势的量化评价指标与区域差异化落地路径尚缺实证研究。","agent","2026-09-17T00:04:40.789315Z",{"id":322,"title":323,"url":324,"summary":325,"summary_zh":19,"content":326,"source_name":327,"source_url":19,"published_at":52,"category":53,"cover_url":19,"hotness":24,"is_selected":131,"score":301,"score_detail":328,"sources":330,"tags":332,"view_count":44,"doi":19,"paper":19,"created_at":337},2722,"福建农科院食用菌所福蘑78入选十四五国家农作物育种联合攻关成果","https:\u002F\u002Fwww.faas.cn\u002Fcms\u002Fhtml\u002Ffjsnykxy\u002F2026-09-14\u002F1185069341.html","食用菌全国仅3项成果入选十四五国家农作物育种联合攻关突破性品种选育类特色作物品种攻关成果,福建省农科院食用菌所选育的双孢蘑菇工厂化专用新品种福蘑78位列其中。该品种前三潮产量与国外工厂化品种相当,在培养料适应性、菌盖白度、光滑度以及优菇率等方面更具优势,目前已在20多家工厂化企业实现不同比例的国产替代。","9月11日，“十四五”国家农作物育种联合攻关成果在安徽省合肥市正式发布。该成果源于农业农村部2022年印发的《国家育种联合攻关总体方案》，构建多层级“金字塔”式育种攻关体系，集中全国科研力量开展种业核心技术与优质品种联合攻关。按照国家农作物育种联合攻关总体安排，国家农作物育种联合攻关办公室会同各省农业农村部门、各农作物攻关组，对攻关成效进行了全面总结，梳理出“十四五”期间具有代表性的农作物攻关成果90项，其中突破性品种选育类73项，育种技术创新类11项，骨干亲本创制类6项，是我国种业振兴行动创新攻关取得进展的重要体现。食用菌全国仅3项成果入选突破性品种选育类特色作物品种攻关成果，我院食用菌所选育的双孢蘑菇工厂化专用新品种“福蘑78”位列其中。该品种攻关方向为重点解决我国双孢蘑菇三次发酵工厂化生产自主选育品种缺乏问题，是我院食用菌种业自主创新取得的标志性成果。\n\n“福蘑78”于2021年申报植物新品种权并进入生产性试验，于2024年获得植物新品种权（品种权号：CNA20211003973），同年通过福建省非主要农作物品种认定（认定编号：闽认菌2024002），并入选2026年度福建省农业主导品种。该品种适用于工厂化栽培，尤其是隧道三次发酵工厂化栽培效果更佳，前三潮产量与国外工厂化品种相当，在培养料适应性、菌盖白度、光滑度以及优菇率等方面更具优势。目前该品种已授权国产品种最大制种商山东瑞成菌业有限公司（原临沂瑞泽生物科技股份有限公司）生产大透气袋栽培种，面向全国推广，已在20多家工厂化企业实现不同比例的国产替代，有效补齐国内双孢蘑菇三次发酵工厂化生产自主品种短板。\n\n下一步，食用菌所将依托国家食用菌产业技术体系、国家食用菌良种联合攻关、省食用菌种业创新与产业化工程等项目平台，持续强化食用菌种业科技创新力度，深入推进双孢蘑菇等特色食用菌种质创新与品种选育，加快新品种示范推广进程，破解食用菌工厂化生产关键品种自主化难题，为食用菌产业高质量发展和种业振兴行动贡献农科力量。（文\u002F图 食用菌所 陈文智）\n\n![Image 1](https:\u002F\u002Fwww.faas.cn\u002Fcms\u002Fpages\u002F810695253313660004\u002Fimages\u002F%E5%9B%BE%E7%89%871.png)\n\n![Image 2](https:\u002F\u002Fwww.faas.cn\u002Fcms\u002Fpages\u002F810695253313660004\u002Fimages\u002F%E5%9B%BE%E7%89%872.png)\n\n**“****福蘑78”入选“十四五****”****国家农作物育种联合攻关成果**\n\n![Image 3](https:\u002F\u002Fwww.faas.cn\u002Fcms\u002Fpages\u002F810695253313660004\u002Fimages\u002F%E5%9B%BE%E7%89%873.png)\n\n**“****福蘑78****”****工厂化栽培出菇床面**\n\n![Image 4](https:\u002F\u002Fwww.faas.cn\u002Fcms\u002Fpages\u002F810695253313660004\u002Fimages\u002F%E5%9B%BE%E7%89%874.png)\n\n**“****福蘑78****”****设施化栽培出菇床面**","福建省农科院 2026年9月14日",{"impact":29,"substance":96,"depth":97,"authority":57,"freshness":58,"relevant":33,"comment":329},"国家级育种攻关成果发布，福建双孢蘑菇工厂化专用品种福蘑78入选，具备自主品种替代进口的产业意义，信息具体、信源权威，值得进入每日精选。",[331],{"name":327,"url":324},[82,333,334,335,336],"国产替代","食用菌","品种选育","双孢蘑菇","2026-09-17T00:04:38.832285Z",{"id":339,"title":340,"url":341,"summary":342,"summary_zh":19,"content":19,"source_name":343,"source_url":19,"published_at":344,"category":53,"cover_url":19,"hotness":24,"is_selected":131,"score":301,"score_detail":345,"sources":347,"tags":349,"view_count":44,"doi":19,"paper":19,"created_at":355},2688,"甘肃集中资源做强寒旱特色农业——全产业链打造500亿元、千亿元特色产业集群","https:\u002F\u002Fszb.farmer.com.cn\u002Fnmrb\u002Fhtml\u002F2026\u002F20260917\u002F20260917_1\u002Fnmrb_20260917_13407_1_2100333616521383942.html","农民日报头版报道甘肃省持续推进寒旱特色农业发展,统筹安排财政常态化帮扶资金,支持特色主导产业延链补链强链,1—7月农业产业链招商签约项目1470个、签约额742亿元,新增规模以上农产品加工企业60家。农业科技贡献率达60.5%,推广旱作覆膜3579万亩、水肥一体化982.47万亩,亩均增产15%、节水40%左右。","农民日报 2026年9月17日 第1版","2026-09-17T00:00:00Z",{"impact":96,"substance":96,"depth":97,"authority":57,"freshness":24,"relevant":33,"comment":346},"省级寒旱特色农业全产业链推进的权威头版报道，招商、加工企业与科技贡献率等数据翔实，具备入选每日精选的价值。",[348],{"name":343,"url":341},[350,351,352,353,354],"特色产业","农业产业链","水肥一体化","寒旱农业","旱作覆膜","2026-09-17T00:04:35.079964Z",{"id":357,"title":358,"url":359,"summary":360,"summary_zh":361,"content":19,"source_name":220,"source_url":359,"published_at":167,"category":168,"cover_url":19,"hotness":24,"is_selected":131,"score":301,"score_detail":362,"sources":364,"tags":366,"view_count":44,"doi":372,"paper":373,"created_at":389},2634,"Exploring the carbon footprint of Chinese beef systems – a life‑cycle assessment, decoupling analysis and spatial effects","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1849066","Introduction China’s beef cattle industry is currently in a phase of expansion, while its greenhouse gas (GHG) emission characteristics remain insufficiently elucidated. To fill this research gap, this study employed Life Cycle Assessment (LCA) to quantify the carbon footprint of beef cattle production across provinces in mainland China during the period 2002–2022. Methods The analysis encompassed total GHG emissions across three farming scales—small-scale (1–49 heads), medium-scale (50–500 heads), and large-scale (>500 heads)—classified by annual slaughter volume, and divided the entire production system into four stages: feed cultivation, enteric fermentation, manure management, and processing and transportation. Results Large-scale operations exhibited relatively lower carbon intensity, with an average of 23.71 kg CO 2 e per kilogram of beef, whereas all three scales demonstrated a fluctuating yet gradually increasing trend over the study period. Enteric fermentation emerged as the dominant emission source, with an annual average of 268.84 TgCO 2 e. Methane consistently accounted for the largest proportion of GHG emissions, averaging 73.59% of the annual total. Spatially, both total emissions and various carbon intensity indicators showed a westward shift, with western regions lagging behind eastern regions in emission reduction performance. Decoupling analysis revealed that for most provinces from 2002 to 2022, GHG emissions from beef cattle production grew in tandem with the output value of the cattle industry. Spatial regression further identified significant agglomeration effects, with carbon intensity being significantly influenced by the economic level of the beef cattle sector, rural per capita disposable income, the share of the cattle industry in the regional economy, and grain yield.","引言 中国肉牛产业目前正处于扩张阶段，而其温室气体（GHG）排放特征尚不明确。为填补这一研究空白，本研究采用生命周期评价（LCA）方法，对2002—2022年中国大陆各省肉牛生产的碳足迹进行了量化。方法 分析涵盖三种养殖规模——小规模（1—49头）、中规模（50—500头）和大规模（>500头）——按年出栏量划分，并将整个生产系统分为四个阶段：饲料种植、肠道发酵、粪便管理和加工运输。结果 大规模养殖的碳强度相对较低，平均为每千克牛肉23.71 kg CO₂e，但三种规模在研究期间均呈现波动上升趋势。肠道发酵是主要排放源，年均排放量为268.84 TgCO₂e。甲烷始终占温室气体排放的最大比例，年均占总量的73.59%。在空间分布上，总排放量和各项碳强度指标均呈现向西转移的趋势，西部地区的减排表现落后于东部地区。脱钩分析表明，2002—2022年大多数省份的肉牛生产温室气体排放与养牛业产值同步增长。空间回归进一步识别出显著的集聚效应，碳强度受肉牛产业经济水平、农村人均可支配收入、养牛业在区域经济中的占比以及粮食产量的显著影响。",{"impact":96,"substance":76,"depth":77,"authority":272,"freshness":58,"relevant":33,"comment":363},"基于2002—2022年全国省级面板数据的肉牛全生命周期碳足迹核算，方法规范、数据规模大，揭示规模效应与排放西移趋势，对畜牧业绿色低碳转型有参考价值。",[365],{"name":220,"url":359},[367,368,369,370,371],"农业绿色发展","碳足迹","生命周期评价","肉牛产业","畜牧业减排","10.3389\u002Ffsufs.2026.1849066",{"doi":372,"openalex_id":374,"authors":375,"venue":220,"cited_by_count":44,"oa_url":359,"card":384,"direction":292,"ingested_from":212},"W7213306361",[376,378,380,382],{"name":377,"orcid":19},"Xianghui Yin",{"name":379,"orcid":19},"Shiqin Sun",{"name":381,"orcid":19},"Jiangge Wang",{"name":383,"orcid":19},"Tengyun Gao",{"tldr":385,"method":386,"finding":387,"direction":292,"opportunity":388},"用生命周期评估量化2002–2022年中国各省肉牛碳足迹，并分析脱钩与空间效应。","生命周期评估、脱钩分析、空间回归，覆盖三种养殖规模与四个生产阶段。","大规模养殖碳强度较低，肠道发酵为主排放源，排放呈西移趋势且多省未脱钩。","可探究西部减排滞后地区的规模优化与甲烷减排技术，及空间溢出机制。","2026-09-16T23:30:08.249805Z"]