[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"daily-2026-08-30":3},{"date":4,"title":5,"highlights":6,"content":13,"items":14},"2026-08-30","我国奶牛育种获突破，智慧农业政策密集出台",[7,8,9,10,11,12],"山东农科院联合奥克斯培育出国内首例基因编辑短毛耐热荷斯坦牛，GTPI达2980，实现耐热性状导入，破解奶牛育种世界难题。","农业农村部召开部务会，强调夺取全年粮食丰收，确保产量1.4万亿斤左右目标，并审议通过植物新品种保护条例实施细则。","重庆发布'十五五'农业农村现代化规划，打造'渝农大脑'，实施'AI+农业'行动，建设产业大脑+未来农场。","中国农科院万建民院士团队揭示亚洲稻与非洲稻种间生殖隔离机制，为超高产亚非杂交稻培育奠定基础。","农业农村部公告审定通过157个小麦品种，同时撤销部分品种审定，强化品种管理。","湖北农科院研发成功'稻品芯1号'水稻品质功能基因育种芯片，填补优质食味稻米多性状协同改良专用芯片空白。","本期日报涵盖育种突破、政策规划、智慧农业、品种审定等热点，聚焦基因编辑奶牛、水稻生殖隔离机制、重庆智慧农业规划等前沿动态，以及农业农村部多项政策部署，展现农业科技与政策协同推进的态势。\n\n---\n*本日报内容整理自公开来源，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。*",[15,92,140,186,257,295,347,395,446,492,525,591,618,650,697],{"id":16,"title":17,"url":18,"summary":19,"summary_zh":20,"content":21,"source_name":22,"source_url":20,"published_at":23,"category":24,"cover_url":20,"hotness":25,"is_selected":26,"score":27,"score_detail":28,"sources":36,"tags":38,"primary_topic":43,"secondary_topics":49,"classification":56,"search_phrases":86,"slug":89,"view_count":90,"doi":20,"paper":20,"created_at":91},1088,"破解世界难题 我国奶牛育种实现重要突破:山东农科院畜牧所联合奥克斯培育国内首例基因编辑短毛耐热荷斯坦牛","https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002F2026-08\u002F27\u002Fcontent_570945.html","8月26日,记者在山东省农科院畜牧兽医研究所研究基地发现,该所与合作伙伴奥克斯畜牧种业培育出国内首例具有综合育种值的基因编辑短毛耐热荷斯坦牛,具有短毛抗热性状,减产有望控制在10%以内。该团队利用基因编辑技术对来自高育种值奶牛体细胞进行了定向改良,获得双等位基因编辑犊牛,仅用一个世代便实现耐热性状导入,将短毛耐热荷斯坦牛GTPI提升至2980,达到国际先进水平。",null,"科技日报记者 王延斌 通讯员 陈建志\n\n炎热天气通过“热应激”抑制奶牛采食、代谢与健康，导致产奶量下降20%—30%，是奶业发展的世界难题。8月26日，记者从山东省农科院畜牧兽医研究所（以下简称“畜牧所”）获悉，该所与合作伙伴培育出国内首例具有综合育种值的基因编辑短毛耐热荷斯坦牛，具有短毛抗热性状，减产有望控制在10%以内，为解决上述难题提供了中国答案。\n\n“该研究突破了传统育种效率低、周期长的限制，建立了以关键功能基因为靶标的精准育种新路径，对于推动我国奶牛种业升级和新种质战略储备具有重要意义。”农业农村部畜禽生物组学重点实验室主任，畜牧所党委书记黄金明说。\n\n![Image 1](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002Fpic\u002F2026-08\u002F27\u002F570945_f66a6b7f-9cd3-4e41-9c38-aad6ad7112a6copy.jpg)\n\n基因编辑团队科研人员正在做实验\n集多项优点于一身，中国顶尖奶牛诞生\n\n荷斯坦牛是原产于荷兰北部的世界产奶量最高、存栏最广的专用乳牛品种，俗称“黑白花奶牛”，全球约80%—90%的奶牛为其后代。\n\n记者眼前的这头荷斯坦牛母犊（即雌性小牛）大约一米高，体型健硕，黑白花色，与普通犊牛相比，该母犊的短毛特征明显。“这是我们追求的，也是基因编辑的结果。”在上述项目专家、畜牧所副研究员肖遥看来，该团队利用基因编辑技术对来自高育种值奶牛体细胞进行了定向改良，获得双等位基因编辑犊牛，仅用一个世代（荷斯坦牛的世代间隔一般为5年左右）便实现耐热性状导入，将短毛耐热荷斯坦牛GTPI提升至2980。\n\n在中国荷斯坦牛育种体系中，奶牛综合育种值≥2800即属于前1%—2%的顶尖梯队。“2980”意味着其在产奶量、乳成分、体型及健康等性状上的遗传潜力处于国际先进水平，其后代预期将表现出显著高于平均水平的产奶性能与综合经济效益。畜牧所研究员高运东向记者表示：“我们生产的基因编辑奶牛的综合育种值为2980，达到了国际先进水平，同步实现了耐热性状的导入与遗传水平的提升。”\n\n![Image 2](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002Fpic\u002F2026-08\u002F27\u002F570945_0d1028d3-27b2-4297-81e4-8ee3dbebdedccopy.jpg)\n\n这是5月龄的国内首例具有综合育种值的基因编辑短毛耐热荷斯坦牛\n“除了破解热应激导致减产瓶颈，我们还破解了多项关键难题。”黄金明表示，我们解决了育种周期长与性状冲突的问题，即突破了传统选育需多代回交才能导入单一性状的局限，仅用一代即完成耐热性状导入且不降低原有高产育种值，大幅缩短育种周期。此外，该团队克服了大动物基因编辑易出现嵌合体、编辑效率低及遗传不稳定的技术障碍，实现了目标基因纯合修饰与稳定遗传。\n\n在黄金明看来，上述“国内首例”的出现，也是“科学家+企业家”携手破局的结果。\n\n![Image 3](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002Fpic\u002F2026-08\u002F27\u002F570945_a1f0fdd3-f308-4acf-82ac-3f42a1bffa73copy.jpg)\n\n基因编辑小组成员杨春红正在将大量待筛选的基因编辑细胞放入培养箱中\n科学家搭档企业家破解难题\n\n高运东拥有双重身份，一方面，他是畜牧所研究员，是上述项目的主要研发者之一，另一方面，他是山东奥克斯畜牧种业有限公司（以下简称“奥克斯”）董事长。\n\n该企业建有国家核心种公牛站、入选国家种业阵型补短板企业，牵头国家奶牛良种联合攻关项目，主持国家生物育种重大专项奶牛项目，是业界公认的奶牛育种行业的领军企业，从“国内首例”的出现提供着软、硬件支持。\n\n早在2004年，畜牧所便牵头联合奥克斯启动了山东首个奶牛分子育种与基因组选择技术攻关项目；到了2019年，奥克斯牵头，联合畜牧兽医所等单位承接国家奶牛良种联合攻关计划，这是国内唯一由企业牵头的奶牛种业国家级攻关项目。\n\n![Image 4](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002Fpic\u002F2026-08\u002F27\u002F570945_4824c22d-1bf6-4ab6-a3e5-1e0b41776223copy.jpg)\n\n基因编辑团队科研人员正在做实验\n26年来，双方承担的项目聚焦基因组选择育种、基因编辑育种、体外胚胎生产等技术研发，特色种质创制和核心种质选育，良种产业化扩繁等，所有科研成果均首先落地奥克斯育种基地，快速转化应用。\n\n双方构建的奶牛活体采卵-体外胚胎生产整套产业化繁育技术体系，2016年启动攻关，2019年落地转化，该项目推动单枚胚胎成本由初期数万元降至1000元左右；国产采卵针替代进口，从进口的每支180元降至国产的30元……\n\n“最重要的是，我们实现了种质资源自主可控。”谈到本次“国内首例”的意义，高运东表示，我们改变了依赖进口种质现状，创制出具有国际先进水平的自主耐热奶牛新种质，为种业安全提供核心储备。\n\n（受访者供图）","科技日报","2026-08-27T01:00:00Z","报道",10,true,92,{"impact":29,"substance":30,"depth":31,"authority":32,"freshness":33,"relevant":34,"comment":35},28,24,18,14,8,1,"国内首例基因编辑耐热奶牛，突破世界难题，兼具产业与科研价值，报道详实。",[37],{"name":22,"url":18},[39,40,41,42],"山东省农科院","基因编辑","畜牧所","耐热荷斯坦牛",{"code":44,"slug":45,"name":46,"path":47,"parent_code":48},"C2","ruminants","草食牲畜","\u002Ftopic\u002Flivestock\u002Fruminants","C",[50],{"code":51,"slug":52,"name":53,"path":54,"parent_code":55},"F2","biotechnology","生物育种与基因技术","\u002Ftopic\u002Finputs-equipment\u002Fbiotechnology","F",{"status":57,"locked":58,"version":59,"method":60,"evidence":61},"classified",false,"2026-10-22.2","rules",{"candidates":62,"agricultural_evidence":26},[63,68,74,79],{"code":51,"score":64,"supported":26,"title":65,"abstract":66,"tags":67},12,[40],[40],[40],{"code":48,"score":69,"supported":26,"title":70,"abstract":72,"tags":73},11,[71],"畜牧",[71],[],{"code":44,"score":69,"supported":26,"title":75,"abstract":77,"tags":78},[76],"奶牛",[76],[],{"code":80,"score":81,"supported":26,"title":82,"abstract":83,"tags":85},"F1",3,[],[84],"种业",[],[87,88],"山东省农科院 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持续壮大乡村特色产业","https:\u002F\u002Fpaper.people.com.cn\u002Frmrb\u002Fpc\u002Fcontent\u002F202608\u002F29\u002Fcontent_30177935.html","人民日报8月29日第05版评论员文章指出,夏粮产量首次突破3000亿斤,截至6月底脱贫劳动力就业规模超3200万人,上半年农村居民人均可支配收入达12699元、同比实际增长5.5%。十五五开局之年,农业农村经济保持稳中向好的良好势头。下半年要抓好秋粮生产,因地制宜发展乡村特色产业,持续巩固拓展脱贫攻坚成果,促进农民稳定增收,持续抓好常态化帮扶,实现农业增效益、农村增活力、农民增收入。","7月30日，习近平总书记主持中共中央政治局会议。会议强调：“要毫不放松做好‘三农’工作，持续巩固拓展脱贫攻坚成果”“促进农民稳定增收”“抓好农业生产，夺取秋粮和全年粮食丰收”。\n\n农为邦本，本固邦宁。今年以来，面对极端天气等挑战，我国农业农村经济交出了一份沉甸甸的答卷。夏粮产量首次突破3000亿斤，截至6月底脱贫劳动力就业规模超3200万人，上半年农村居民人均可支配收入达到12699元、同比实际增长5.5%。“十五五”开局之年，农业农村经济保持稳中向好的良好势头，为国民经济延续总体平稳、向新向优的态势提供有力支撑。\n\n广袤田野，生机涌动。下半年，抓好秋粮生产，因地制宜发展乡村特色产业，全力抓好抓紧常态化帮扶，努力实现农业增效益、农村增活力、农民增收入，为经济社会高质量发展奠定更加坚实基础。\n\n**守牢底线，持续深化常态化帮扶工作**\n\n“每月到手6000多元，旺季收入还能再往上提。”贵州省龙里县奋进社区脱贫户龙明华此前四处打零工。一年多前，龙明华通过社区推送的招工信息进入本地快递物流园做装卸工，家离园区很近，骑车上下班十分便利。“现在工作踏实多了，我打算长期在这干。”龙明华说。\n\n大力挖掘县域就业岗位，是贵州建立常态化防止返贫致贫就业帮扶机制的工作重点。“下一步，我们持续对快递物流园等园区进行提档升级，常态化开展专场招聘，优先吸纳脱贫劳动力、易地搬迁群众就近稳定就业。”龙里县就业局局长蒋正秀介绍。\n\n2026年帮扶工作已进入常态化阶段。巩固拓展脱贫攻坚成果，“长效”是明确导向。中央财政安排的1770亿元常态化帮扶资金延续过渡期标准，为产业就业扶持与乡村振兴重点帮扶县等欠发达地区基础设施持续补短板。上半年，脱贫县农村居民人均可支配收入增速继续高于全国农村平均水平。\n\n下半年是常态化帮扶“见实效”的关键一程。防止返贫致贫监测范围逐步覆盖全体农村人口，同时，健全建强监测体系，让大数据精准捕捉风险线索，让一线干部当好预警前哨，细化帮扶举措，让困难群众得到精准纾困。\n\n何以“精准”？北京师范大学中国乡村振兴与发展研究中心主任张琦表示，实施常态化精准帮扶，要聚焦重点区域、重点人群、重点风险，实现对象精准、措施精准、投入精准、成效精准。重点需要实现从被动应对风险向主动防控风险转变，从阶段性集中攻坚向持续性常态发力转变，从外部政策托举向内生发展赋能转变。\n\n**抓实秋粮生产，夺取全年粮食丰收**\n\n“这片玉米，比一般农户早播四五天，无人机辅助授粉后正在灌浆，水肥需求正旺。”在河南省商水县张庄镇绿油油的玉米地边，种粮大户邱守先边检测水肥一体化设备出水情况边说，“秋粮丰收还要过病虫害等关口，但我有底气。”\n\n作为全市“吨半粮田”示范区，邱守先的2100亩地块今年全部实施密植滴灌技术，每亩留苗5500株，比常规田多了800株。“滴灌带可多施水肥，这是丰收关键。”他说，“我们会抓实秋管，让丰收成色更足。”\n\n粮食安全底盘，“稳产”是鲜明底色。2026年夏粮产量历史性突破3000亿斤，其中小麦单产每亩402.6公斤，增加3.4公斤，增长0.9%。良种、良田、良机、良法集成增效成效凸显，10亿亩高标准农田筑牢产能底盘，种业自主保障能力持续提升。\n\n秋粮大体占到全年粮食产量的3\u002F4。目前从全国看，秋粮种植面积基本落地、预计稳中略增，且基本种在了丰产期，整体苗情长势比较正常；田间管护体系全面铺开，农资保供、农机跨区调度机制顺畅运行。农业农村部决定组织实施奋战100天强田管抗灾害夺秋粮丰收行动，聚焦重点作物、重点区域、重大灾情，坚持全过程全环节不放松，全力以赴守住全年1.4万亿斤左右粮食产量关口。\n\n单产创新高，离不开良种支撑。“下一步，农业农村部将加快健全以企业为主体的商业化育种创新体系，加快选育高产、优质、抗逆、专用突破性新品种，同时，严格品种审定和知识产权保护，加大市场监管执法力度，让‘中国粮’主要用‘中国种’，让农民用上‘放心种’。”农业农村部相关负责人说。\n\n**拓宽多元增收渠道，夯实富民基础**\n\n“现在村里旅游火了，武昌鱼作为游客餐桌上的招牌菜，根本不愁卖！”湖北省鄂州市鄂城区杜山镇三山村鱼塘边，村民吴永军边拉网边说。晨光中，一尾尾鲜活的武昌鱼翻腾跳跃，溅起晶莹水花。“鱼塘年产量可达2.4万斤，其中武昌鱼占了近一半，纯利润稳稳达到8万元。”吴永军说。\n\n武昌鱼是鄂州市农产品的“金字招牌”，近年来渔业产业全链条升级，走出了一条三产融合、富民兴村之路。吴永军在这片水面上倾注了半辈子心血。“现在，成鱼只要出塘，就可以拉去合作社做成风干武昌鱼，每年这块也能增收5000块钱。”\n\n拓宽农民增收渠道，“多元”是关键举措。2026年上半年农村居民人均可支配收入增速比城镇居民高出2.1个百分点。乡村产业提质增效，上半年第一产业增加值31522亿元，同比增长3.7%；规模以上农副食品加工业增加值同比增长4.8%，特别是果蔬和肉类加工业发展较快。乡村休闲旅游、农村电商等新产业新业态蓬勃发展。\n\n下半年，聚焦富民增收目标，各地立足资源禀赋壮大特色种养产业，持续发展农产品初加工、精深加工，延伸产业链条，做实“粮头食尾”“畜头肉尾”“农头工尾”增值文章；加快补齐产地仓储保鲜、冷链物流设施短板，打通农产品出村进城通道，放大地理标志、绿色农产品品牌溢价效应。\n\n如何让特色产业有效带动农民持续增收？张琦介绍，完善联农带农利益联结机制，让产业发展成果赋能乡村全面振兴。“特色产业的各个环节，如种植养殖、加工运输、市场销售等，都能够创造大量的就业岗位。农业社会化服务组织等平台的带动，订单农业、股份合作等模式的推广应用，都能使农民增收的渠道更加多样，为乡村全面振兴夯实富民基础。”张琦说。\n\n（本报记者陈隽逸、吴君参与采写）","人民日报","2026-08-29T00:30:00Z",90,{"impact":29,"substance":102,"depth":31,"authority":103,"freshness":104,"relevant":34,"comment":105},22,15,7,"央媒权威报道，聚焦下半年三农工作重点，含具体数据与政策导向，对农业信息化领域具有宏观指导意义。",[107],{"name":98,"url":95},[109,98,110,111],"农民收入","三农","下半年",{"code":113,"slug":114,"name":115,"path":116,"parent_code":117},"G6","rural-integration","帮扶与城乡融合","\u002Ftopic\u002Frural-services\u002Frural-integration","G",[],{"status":57,"locked":58,"version":59,"method":60,"evidence":120},{"candidates":121,"agricultural_evidence":26},[122,129],{"code":113,"score":123,"supported":26,"title":124,"abstract":125,"tags":128},6,[],[126,127],"农民增收","常态化帮扶",[],{"code":130,"score":81,"supported":26,"title":131,"abstract":132,"tags":134},"J4",[],[133],"夏粮",[],[136,137],"人民日报 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粮食1.4万亿斤 生猪稳产 部务会","种业知识产权 粮食1.4万亿斤","种业知识产权粮食1.4万亿斤生猪稳产部务会-1070","2026-08-30T00:11:07.525620Z",{"id":187,"title":188,"url":189,"summary":190,"summary_zh":20,"content":191,"source_name":192,"source_url":20,"published_at":193,"category":147,"cover_url":20,"hotness":25,"is_selected":26,"score":194,"score_detail":195,"sources":199,"tags":201,"primary_topic":20,"secondary_topics":207,"classification":208,"search_phrases":252,"slug":255,"view_count":69,"doi":20,"paper":20,"created_at":256},1074,"《重庆市\"十五五\"农业农村现代化规划(2026—2030年)》正式发布 全力打造\"渝农大脑\"建设产业大脑+未来农场","https:\u002F\u002Fwww.cqcs.gov.cn\u002Fzwxx_164\u002Fbmjz\u002F202608\u002Ft20260827_15987712.html","《重庆市\"十五五\"农业农村现代化规划(2026—2030年)》正式发布。规划聚焦\"四侧\"协同、\"四链\"融合,以\"产业大脑+未来农场\"为关键抓手,做强\"产业大脑\"核心功能,整合9大行业全链条数据资源。规划提出全力打造\"渝农大脑\",绘制农地\"一张图\"、完善农事\"一张网\"、健全农信\"一本账\"、建设农品\"一码通\";\"AI+农业\"行动包括\"AI+粮食安全综合智管\"\"AI+植保\"\"AI+设施农业\"\"AI+生物育种\"\"AI+生态畜牧\"\"AI+食农加工\"6大方向;目标农业生产信息化水平突破40%,建设未来农场100个、市级智慧农业试验基地10个。","## 重庆市“十五五”农业农村现代化规划\n\n（2026—2030年）\n\n为扎实推进乡村全面振兴，加快农业农村现代化，奋力建设农业强市，根据《加快农业农村现代化“十五五”规划》（国发〔2026〕14号）和《重庆市国民经济和社会发展第十五个五年规划纲要》（渝府发〔2026〕7号）等，制定本规划。\n\n## 一、总体要求\n\n### （一）指导思想\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，全面落实习近平总书记关于“三农”工作的重要论述和视察重庆重要讲话重要指示精神，聚焦做实“两大定位”、发挥“三个作用”，坚持农业农村优先发展，坚持尊重农民意愿，突出大城市带大农村大山区大库区，以学习运用“千万工程”经验为引领，以改革创新和数智赋能为动力，以迭代实施“四千行动”为抓手，统筹发展科技农业、绿色农业、质量农业、品牌农业，统筹推进“五个振兴”和常态化帮扶，抓好办成一批农民群众可感可及的实事，加快打造城乡融合乡村振兴示范区建设标志性成果，努力推动基本实现农业现代化、农村基本具备现代生活条件取得重大进展，为奋力谱写中国式现代化重庆篇章提供基础支撑。\n\n### （二）发展目标\n\n到2030年，全市农业农村现代化达到西部领先水平。\n\n——粮食稳产增产能力实现新跃升。耕地保有量稳定在2664万亩以上，高标准农田建管用一体化水平显著提升，粮食综合生产能力达到226亿斤以上，农业防灾减灾救灾体系能力全面增强。\n\n——改革赋能乡村发展实现新跃升。以深化改革促进乡村“五个振兴”的机制更加健全、支撑常态化帮扶的体系全面构建，区域农合联服务农户占比达到90%以上。\n\n——乡村产业能级和竞争力实现新跃升。“36316”现代农业产业集群体系全面构建，优质粮油、山地果蔬、生态畜牧产值合计超过6200亿元，食品及农产品加工业总产值超过5000亿元。\n\n——乡村建设和治理水平实现新跃升。“三个革命”取得决定性进展，“五网”建设更加完善，乡村基本公共服务优质均衡供给体系更加完备，“141”基层智治体系贯通实战能力全面增强，移风易俗取得显著进展，基层矛盾纠纷风险纳管率超过98%。\n\n——城乡融合发展质效实现新跃升。大城市带大农村大山区大库区的体制机制更加健全，山区库区强县富民现代化建设迈出坚实步伐。\n\n——农村基层党组织的政治功能和组织功能实现新跃升。党建统领“三农”工作体系持续重塑优化，基层党组织领导力组织力执行力显著增强，村“两委”班子结构不断优化，农村党员致富带富能力持续提升，软弱涣散村党组织按期整顿转化率保持100%。\n\n到2035年，乡村全面振兴取得决定性进展，农业现代化基本实现，农村基本具备现代生活条件，农业强市建设取得显著成效。\n\n## 专栏1 重庆市“十五五”农业农村发展主要指标\n\n序号 指 标 单位 2025年 2030年 年均增减\n\n〔累计〕属性\n1 粮食产量 亿斤 222.5≥221—约束性\n2 肉类总产量 万吨 210＞210—预期性\n3 农业科技进步贡献率%64 68〔4〕预期性\n4 农作物耕种收综合机械化率%61 70〔9〕预期性\n5 第一产业增加值 亿元 2124.14 2500 3.3%预期性\n6 农业劳动生产率 万元\u002F人 6.3 9 7.4%预期性\n7 农产品加工业与农业总产值比—2.81∶1 3∶1〔0.19〕预期性\n8 农合联行政村覆盖率%57.1 100〔42.9〕预期性\n9 农产品质量安全例行监测总体合格率%99≥99—约束性\n10 较大人口规模自然村（组）通硬化路比例%98 99〔1〕预期性\n11 农村自来水普及率%94.6 98〔3.4〕预期性\n12 农村卫生厕所普及率%88 95〔7〕预期性\n13 教育共同体覆盖率%85 100〔15〕预期性\n14 农村医疗共同体覆盖率%91.7 100〔8.3〕预期性\n15 乡镇（街道）养老服务中心服务覆盖率%93.7 100〔6.3〕预期性\n16 巴渝和美乡村建成率%65 100〔35〕预期性\n17 新型农业经营主体带动农户比例%47 64〔17〕预期性\n18 农村常住居民人均可支配收入 万元 2.34 3.1 5.8%预期性\n19 城乡居民人均可支配收入比—2.21∶1 2.1∶1\n\n左右—预期性\n20 农村产权流转交易额 亿元 60＞60—预期性\n21 主城都市区与山区库区地区人均 GDP 比—1.65∶1 1.6∶1〔0.05〕预期性\n22 常住人口城镇化率%73.02 75 左右—预期性\n\n注：规划中除粮食产量、农产品质量安全例行监测总体合格率外，所列指标均为预期性目标，仅作发展方向引导，不构成对相关行业市场准入的总量限制。\n\n### （三）发展布局\n\n1﹒优化区域发展布局。中心城区重点发展智慧设施农业、精品果蔬、休闲农业，推动农村基础设施与公共服务同城化。渝西地区做强现代粮油、绿色蔬菜、生态畜禽及农产品精深加工等产业，深化中心镇带村、产村融合发展。渝东新城巩固提升现代粮油、蔬菜、生态畜牧、中药材等产业优势，转型发展精品设施农业、康养休闲和外向型农业，推动园区景区化、农文旅深度融合。渝东北三峡库区提质建设柑橘、脆李、渔业等特色产业基地，打造“大三峡”现代生态高效农业升级版，改造江城江镇江村风貌，筑牢长江生态屏障。渝东南武陵山区深化农文旅融合发展，打造现代生态高效农业走廊、乡村民俗文旅康养带，建设民族特色巴渝和美乡村。\n\n2﹒优化农业产业空间布局。构建“一圈两片五带多点”现代农业产业新格局。“一圈”即主城都市农业圈，重点发展都市休闲农业、精品果蔬、高效设施农业，打造大都市“果园子”“菜篮子”。“两片”即“渝西八区”“长垫梁开”两大粮食保供片区，规模化建设优质粮油基地，筑牢全市粮食安全防线。“五带”即五大特色产业带，包括以涪陵、丰都、万州等为重点的长江上游榨菜产业带，以万州、开州、云阳等为重点的长江中上游（重庆）柑橘产业带，以巫山、巫溪、奉节等为重点的优质巫山脆李产业带，以永川、江津、秀山等为重点的高山生态茶叶产业带，以涪陵、石柱、酉阳等为重点的武陵山中药材产业带。“多点”即统筹布局各类农业载体和产业平台，打造彰显重庆辨识度的现代农业产业战略支点。\n\n![Image 1](https:\u002F\u002Fwww.cqcs.gov.cn\u002Fzwxx_164\u002Fbmjz\u002F202608\u002FW020260827534033442930_ORIGIN.png)\n\n## 图1 农业产业布局图—— 一圈两片五带多点\n\n3﹒优化片区化推进乡村振兴布局。加快构建“十县示范、百片引领、千村提升、万院和美、全域振兴”发展格局。聚力打造“十县示范”，梯次培育10个以上国家乡村振兴示范县。高标准构建“百片引领”，建设100个彰显“巴渝风、山城韵、乡愁味”的市级和美乡村片区。深入实施“千村提升”，发挥重点村辐射作用，连片带动千村环境、产业、治理、乡风文明全面提质。扎实推进“万院和美”，推动农家院落整治美化，留住田园乡愁风貌。全面形成“全域振兴”新格局，促进城乡融合、共同繁荣。\n\n4﹒优化成渝现代高效特色农业带布局。紧紧围绕成渝地区双城经济圈建设“两中心两地”战略定位和“三中心一走廊”发展布局，统筹考虑川渝农业资源禀赋、产业发展基础和潜力，优化“一轴三带四区”空间格局，不断提升成渝现代高效特色农业带建设能级，加快推动川渝现代农业高质量一体化发展。\n\n## 二、全力保障粮食等重要农产品稳定安全供给\n\n（一）建设更高水平“巴渝粮仓”。做优“稳面积、优结构、提单产”文章，依托“渝西八区”和“长垫梁开”等主产区，深入推进粮油等主要作物大面积单产提升行动，扩面发展“稻+”复合种养模式，强化良田良种良机良法集成增效，确保粮食播种面积稳定在3020万亩以上。加强粮食购销和储备管理，促进粮食等重要农产品价格保持在合理水平。\n\n（二）构建多元化食物供给体系。稳量发展生猪，加快发展地方优质畜禽，生猪出栏量稳定在1700万头左右。提质发展蔬菜，产量保持在2200万吨以上。高质量发展水产养殖，水产品产量达到80万吨。积极发展森林食品，拓展油茶等木本油料种植，发展林果、竹笋及可产饮料调料的经济林。大力发展林下经济，稳妥开发林药、林菜、林禽等森林食物资源。发展壮大食用菌产业，开发植物基蛋白、细胞培养肉等新型食品资源。\n\n（三）强化耕地保护和质量提升。“一田一码”加强耕地保护，持续完善数量、质量、生态“三位一体”耕地保护体系，深入实施统筹耕林空间治理。迭代实施千万亩高标准农田改造提升行动，分区分类高质量推进高标准农田建设，完善立项、建设、验收和管护长效机制，建立健全以项目法人责任制为基础的工程质量监督体系。强化受污染农用地溯源整治，做到应查尽查、分阶段应治尽治。\n\n（四）加快农田水利基础设施建设。做好灌区骨干工程与高标准农田渠系一体规划布局。抓好渝西水资源配置工程运行监管。推进重点水源工程建设、病险水库除险加固和中小河流治理，加强农田沟渠修复整治。完善用水计量监测体系，推进5万亩及以上大中型灌区主要取水口在线计量全覆盖。到2030年，耕地灌溉面积达到1134万亩，灌溉水有效利用系数达到0.542。\n\n（五）完善农业防灾减灾体系。完善农业防灾减灾救灾统一指挥调度和落地执行体系。构建“天空地”一体化农业观测网络，加强灾害监测预报预警。开展农业气候资源普查和区划工作，健全新型气象为农服务体系。加快建设“平急两用”区域农业（农机）应急救灾中心。加强重大病虫害统防统治与绿色防控，推进重大动物疫病和重点人畜共患病联防联控。提高农业安全生产本质水平。\n\n## 专栏2 粮食等重要农产品\n\n## 供给保障和质量效益提升\n\n新时代“巴渝粮仓”建设：高标准打造市级万亩、区县千亩、乡镇百亩主要粮食作物生产基地，形成试点样板，推广精量精准播种、合理密植、一喷多促等成熟技术，探索再生稻“吨粮田”技术。\n\n畜牧业高质量发展：优化生猪、草食牲畜、特色家禽、资源昆虫产业布局，推进荣昌猪、涪陵黑猪、合川黑猪等“华系猪”产业化发展，实现优质华系田园猪出栏10万头。培育合川白山羊、武隆板角山羊、城口山地鸡、渝州白鹅、麻旺鸭等特色畜禽。\n\n蔬菜安全生产保供：调优蔬菜品种结构，发展早市鲜食青菜头、高山蔬菜，推广“稻菜轮作”“果菜套作”等高效栽培模式。巩固提质74万亩青菜头种植基地。\n\n渔业绿色循环发展：实施渔业绿色循环发展项目，推进池塘标准化改造提升，发展冷水鱼养殖、稻渔综合种养、现代设施渔业，养殖面积稳定在120万亩左右。\n\n多元化食物供给：推动优质粮油、山地果蔬、生态畜牧、火锅食材、三峡柑橘、调味品、茶叶等产业高质量发展，规范有序开发黄精、党参、艾草等产品。\n\n农田水利设施建设：开工建设玉滩大型灌区、观景口中型灌区，推进涪琼、平邑、龙溪大型灌区前期工作；实施酉阳井岗堰、北碚胜天、云阳咸池等中型灌区续建配套与现代化改造。实施藻渡水库、福寿岩水库等大型水库和黄钦、桐梓、回龙场等中小型水库工程。支持区县完成国家下达的新增高效节水灌溉任务。\n\n## 三、持续巩固拓展脱贫攻坚成果\n\n（一）全面提升精准监测效能。建好用好“渝悦·防贫”应用，加强民政、教育等部门数据互通，精准做好帮扶对象监测识别工作，做到有进有出、动态调整。充分发挥“141”基层智治体系作用，加强对防止返贫致贫对象和继续帮扶脱贫人口的监测预警，做到返贫致贫风险早发现、早干预、早帮扶。\n\n（二）分层分类做好常态化精准帮扶。全面落实低保、特困供养等综合性保障政策。强化开发式帮扶，实施帮扶主导产业全链开发工程，分类推进帮扶产业巩固、升级、盘活、调整，优化到户产业奖补政策。常态化开展“志智双扶”行动，优化实施“雨露计划+”就业促进行动。健全社会救助体系，完善农村低保标准确定和动态调整机制。完善帮扶项目资产长效管理机制。\n\n（三）集中支持重点帮扶县发展。合理确定国家和市级乡村振兴重点帮扶区县，将帮扶资源进一步下沉至乡村振兴任务较重的乡镇（街道），从财政、金融、土地、人才等方面给予集中支持。推动中央单位定点帮扶、鲁渝协作向全链条、深层次迈进。持续优化“万企兴万村”、市级集团式帮扶和干部人才“组团式”帮扶机制，选优派强用好驻村第一书记和工作队、乡村振兴工作指导员。\n\n## 专栏3 常态化精准帮扶\n\n精准监测预警行动：推广“线上大数据监测+线下网格员核查”互补模式，建立健全统一规范、精准识别、动态进出的常态化防止返贫致贫监测体系。\n\n分类精准帮扶行动：探索“资金+物资+服务”救助模式，对完全或部分丧失劳动能力者，符合条件的，落实低保、特困供养等兜底保障及社会保险政策；对有劳动能力者，强化产业与就业扶持，启动符合全链开发条件的帮扶主导产业惠民增收工程。\n\n政策体系优化行动：完善过渡期后常态化帮扶政策体系，保持财政投入、金融支持、资源要素配置等方面政策总体稳定。落实“一户一策一帮扶责任人”。\n\n## 四、强化农业科技和装备支撑\n\n（一）加快提升农业科技创新体系整体效能。发挥市农科院、市畜科院、西南大学等的科研优势，高水平建设市农科院武陵山分院、市农科院渝东北分院、市畜科院渝东北分院、市畜科院渝东南分院，成立鲁渝农业科技协作联盟。加快培育一批农业科技领军企业、农业科学家和领军人才。围绕核心种源、精深加工、农机装备等加强关键核心技术协同攻关，扎实推动科技创新和产业创新深度融合。建立“市级统筹、区县落地”的两级中试验证体系。完善市、区县、乡镇（街道）三级农技推广服务体系。\n\n（二）深入实施种业振兴行动。加快推进国家畜禽区域基因库（重庆）和长江上游水产种质资源库建设，全面建成市级农作物种质资源库（中期库），迭代升级种质资源保存鉴定等设施平台。深化种业育种创新联合攻关，加快选育和推广一批突破性品种，持续巩固家蚕、柑橘、生猪、油菜、辣椒等重点物种育种创新领先优势。加快推进国家级（荣昌）生猪区域性种业创新基地、重庆市农作物加代育种创新基地建设。统筹推进国家级制种大县、区域性良繁基地、畜禽核心育种场和市级种业基地现代化设施水平提升。\n\n（三）促进畜禽科技与产业深度融合。积极开展全域节粮、低蛋白日粮、地源饲料利用技术攻关，开发抗生素替代品。加快动物健康多模态智能感知核心算法和精细化智能养殖装备研发，创制智能养殖作业机器人。构建全流程智能生物安全防线，实现隐性异常早期预警与个体精准免疫用药。突破粪污固液分离、污染物去除和快速定向发酵技术，开发精准配肥技术与轻简化施用设备，构建“废弃物—生物制造—粪污资源化”的零碳微循环种养协同发展体系。\n\n（四）推动农机装备高质量发展。实施丘陵山区农机装备研发制造推广应用一体化行动，建设一批特色农机产业园区和农机装备熟化应用基地，打造国家级丘陵山区农机装备中小企业特色产业集群。推进先进适用农机装备和农业机器人等智能农机装备关键技术攻关与产业化应用。打造一批标志性农机装备应用场景。\n\n（五）大力发展现代设施农业。以提升蔬菜稳产保供能力、特色水果多样化供给水平和育苗育秧集约化专业化水平为重点，大力发展设施种植业。推动立体多层生猪家禽养殖场、高效集约肉牛山羊养殖场、智慧型多功能奶牛牧场、区域性规模化肉兔养殖场等建设。发展以生态健康养殖为主的现代设施渔业，推动渔业设施设备智能化提升。\n\n（六）加快发展农业农村领域低空经济。积极开展适应丘陵山区农业生产特点的无人机技术改造攻关。统筹布局低空飞行农业地面基础设施，布设一批无人机“机巢”和起降平台。实施农用无人机应用场景拓展行动，支持有条件的区县打造农业低空生产作业、低空运输和农村低空治理等应用场景，推动无人机在作物长势监测、病虫害监测、高标准农田建设监管、农业执法巡查等领域应用。推动低空经济与乡村旅游、休闲农业等产业融合发展，打造“低空+农文旅”消费新场景。\n\n## 专栏4 农业新质生产力发展\n\n农业科技创新及成果转化平台建设：持续支持国家生猪技术创新中心、资源昆虫高效养殖与利用全国重点实验室、中国—匈牙利食品科学“一带一路”联合实验室等国家级平台建设，推进柑桔产业技术工程化中心、国家长江上游种质创制产业技术工程化中心、国家企业技术中心等国家级平台创建。加快建设国家农业生物安全科学中心重庆分中心、崖州湾国家实验室重庆油菜试验基地、中国水稻研究所西南研究中心、中国农业科学院蔬菜花卉研究所西南研发中心等国家级科研机构分支机构。支持共建中巴柑桔重大病虫害研究与防控国际联合实验室。申请增设国家现代农业产业技术体系综合试验站3个以上。建优用好一批科技小院，推进山地农业科技创新基地、重庆市蚕桑产业技术创新及成果转化平台建设。布局建设种子实验室。加快建设畜牧科技城。推动重庆市畜牧科学院科研院所深化体制机制改革试点工作。\n\n生态畜牧新质生产力转型：支持开展畜禽健康稳态机制、高效节粮技术等前沿理论与底层技术研究，构建畜禽全生命周期健康养殖与高效生产技术体系，在荣昌、丰都、万州等地建立5—7个全域节粮、减抗替抗、智慧养殖与种养循环基地，打造国内最大的猪源生物材料研发与生产基地。\n\n设施农业现代化提升：巩固提升设施蔬菜基地25万亩。建成柑橘等水肥一体化设施5万亩，发展果树避雨栽培设施2万亩。建设水稻集中育秧中心20个。大力发展设施化、标准化、智能化养殖，新建或改扩建畜禽规模养殖场3000个以上。完成老旧池塘标准化改造10万亩，推广建设池塘圈养循环水养殖基地20个，流水槽循环水养殖基地200个、陆基圆池循环水养殖基地200个、工厂化循环水养殖基地20个，鱼菜共生AI（人工智能）工厂10个，冷水鱼流水养殖基地15个，累计建成工厂化集约化养殖面积200万平方米。\n\n## 五、依山就势发展现代生态高效农业\n\n（一）壮大现代农业产业集群。迭代实施千亿级生态特色产业培育行动，着力打造优质粮油、山地果蔬、生态畜牧3个千亿级支柱产业集群，持续壮大火锅食材、三峡柑橘、调味品、中药材、茶叶、生态渔6个五百亿级优势产业集群，重点发展涪陵榨菜、奉节脐橙、巫山脆李3个“金名片”产业集群，加快发展荣昌猪、潼南柠檬、彭水红薯、万州烤鱼、江津花椒、永川秀芽、武隆高山蔬菜、丰都肉牛、城口老腊肉、石柱黄连、重庆小面、巴渝山地鸡、巴渝蚕桑、巴渝卤味、巴渝肉兔、巴渝食用菌16个成长型特色产业集群。\n\n（二）做大做强食品及农产品加工业。提档升级粮油加工、肉蛋奶百亿级产业链，协同打造川渝万亿级食品及农产品加工产业集群。围绕粮油、肉蛋奶等七大产业领域布局一批标准化原料基地。高水平建设一批百亿级、五十亿级的农产品加工产业园区。优化升级生猪、家禽、肉牛、肉羊、肉兔、奶蛋及蜂产品加工集群，开发绿色化、健康化、高附加值产品，加强副产物综合利用。迭代实施企业“20、30、50头羊计划”。\n\n（三）加快发展品牌农业。统筹推进农业生产和农产品“三品一标”培育，推行农产品质量安全承诺达标合格证制度。持续壮大“巴味渝珍”市级区域公用品牌，提级打造“涪陵榨菜”“奉节脐橙”“巫山脆李”“荣昌猪”“潼南柠檬”市级区域公用品牌，支持打造“酉阳800”等区县级区域公用品牌，发展壮大石柱黄连、永川秀芽、梁平柚等11个年产值10亿级以上的重点农业品牌，培育打造渝东南特色产业区域公用品牌和巴渝山地鸡等特色农业品牌。集中打造单品“爆款”品牌，接续开展巴渝“土特产”名优百品评选。\n\n（四）加快农业发展全面绿色转型。统筹推动山水林田湖草沙系统治理，坚定推进长江十年禁渔。加强进境动植物检疫和外来入侵物种防控。开展新一轮农业资源调查与区划工作试点。健全耕地休耕轮作制度。开展农村畜禽养殖污染专项整治，加强畜禽粪污资源化利用。推进化肥农药科学使用，开展农作物秸秆综合利用提升行动。加强农业绿色发展水平监测。\n\n（五）加强农业对外开放合作。高水平建设成渝现代高效特色农业带，合力打造国家优质粮油保障基地、国家重要生猪生产基地，共建蔬菜、柠檬、药材、油菜、蚕桑、中蜂等特色农业产业带。深化川渝毗邻地区农业合作，探索非毗邻地区飞地合作模式。扩大农业国际交流合作，深入实施中新（重庆）农业合作计划，加强与共建“一带一路”国家的农业技术合作。持续开展国际减贫工作，做好援中非共和国黑玉米项目后续工作，全面推进援尼泊尔项目。持续扩大东盟、日韩、中亚等重要目标市场出口规模，推动优势农产品卖向全球。\n\n## 专栏5 发展现代生态高效农业\n\n农产品加工业提升：在涪陵、江津、万州、合川、綦江等区县布局建设一批冷链物流与精深加工园。以重庆国际食品产业园（江津）、中国榨菜城（涪陵）为重点争创国家级园区；建设合川火锅食材产业园、重庆（忠县）柑橘现代农业产业园等9个百亿级农产品加工园区；在长寿、云阳、开州建设11个50亿级加工园区。在城口、武隆等地建立3—5个畜产品深加工基地。培育亿元以上农产品加工企业总数达到280家以上，培育30—50家“技术改造企业”、5家“数字化智能化转型工厂”。开展“入园进企”技术帮扶活动50次以上，制（修）订农产品加工团体标准或地方标准50个以上，培育农产品加工数字化车间5个。\n\n农产品品牌培育：培育全国名特优新农产品220个左右、绿色食品3000个左右、有机产品150个左右、地理标志农产品80个左右，发布巴渝“土特产”名优百品100款。\n\n农业面源污染治理：开展面源污染综合治理，加强畜禽粪污等农业废弃物资源化利用，推进水产养殖尾水治理，农膜回收率达到95%以上，畜禽粪污综合利用率达到85%，水产规模化养殖场尾水综合治理达标率超过70%。\n\n## 六、大力发展“智慧农业·数字乡村”\n\n（一）加快建设智慧农业。构建农业农村领域一体化数字底座，全量归集乡村振兴“任务库”“资源图”，形成全域乡村振兴体系能力。聚焦“四侧”协同、“四链”融合，以“产业大脑+未来农场”为关键抓手，强化产业大脑的决策支撑与未来农场的场景落地之间的联动。做强“产业大脑”核心功能，整合9大行业全链条数据资源，推动产业振兴业务流程再造、制度重塑、模型重构，构建智能决策中枢。\n\n（二）全面提升数字乡村发展水平。全力打造“渝农大脑”，绘制农地“一张图”、完善农事“一张网”、健全农信“一本账”、建设农品“一码通”。持续推进第三、四批网络强村试点工作，共建村级数字化服务阵地。统筹实施国家数字乡村试点，因地制宜破解山区基础设施数字化改造、乡村数字经济壮大等难题。办好数字乡村创新大赛。\n\n（三）丰富拓展农业农村数字化应用场景。加快“数智三农”“渝食安”等重点应用迭代升级，推动教育、医疗等公共服务平台下沉延伸，推广农村人居环境卫星遥感等智能管控技术，加速农业人工智能技术应用，全面提升实战实效与数字化服务能力。探索“低空”+应用场景。\n\n## 专栏6 AI+农业发展\n\n数据要素驱动现代农业智能化治理：建设区块链农业行业节点综合管理平台，整理归集生猪、脆李等特色单品全产业链数据，建立生产、加工、储运、销售、消费等环节的数据应用和分析服务模型，农业生产信息化水平突破40%。\n\n深化探索“产业大脑+未来农场”建设：完善优质粮油、山地果蔬、生态畜牧、火锅食材、三峡柑橘、调味品、中药材、茶叶、生态渔业等行业产业大脑，建成涪陵榨菜、奉节脐橙、巫山脆李、肉鸡、肉兔等N个细分产业大脑。建设畜牧科技人工智能联合研发中心。建成未来农场100个，打造全流程、全环节、全场景的贯通式应用的未来农场5个。建设市级智慧农业试验基地10个。\n\n“AI+农业”行动：推进“AI+粮食安全综合智管”，探索建立“AI+植保”“AI+粮食趋势预测”模型。推进“AI+设施农业”，研发设施农业领域AI模型，在主要生产环节开展AI模型的应用验证和参数调优，研发AI驱动的设施农业全链条技术。推进“AI+生物育种”，融合AI技术挖掘性状关联与遗传规律，开发“山地作物育种管理智能体”。推进“AI+生态畜牧”，构建畜禽智能设计育种技术体系，完善AI多维畜禽健康预警与个体精准免疫模型，逐步开展无人值守养殖场建设与试运行。推进“AI+食农加工”，完善确立食农加工AI产品“慧加工”的参数验证与检测方法，形成“AI+食农加工”行业标准与共识机制。\n\n加快数字化重点应用建设：加快推进“数智三农”“渝耕保·巴渝良田”“渝农资产智管”“渝农牧”“长江治渔”“数字水利”“渝食安”“村村旺农服通”“农业天气通”“渝悦教育”“渝悦健康”等应用场景迭代开发。\n\n## 七、扎实推进巴渝和美乡村建设\n\n（一）统筹优化村镇布局。深入实施千个宜居宜业巴渝和美乡村建设行动。统筹区县城、中心镇和村庄规划，因地制宜、稳妥有序优化乡镇规模和布局结构，有序引导人口、产业适度集聚。按需编制村庄规划，提升规划质量和实效。坚持分类有序、片区化推进乡村振兴。协同推进县域国土空间治理，稳步开展全域土地综合整治。\n\n（二）提升农村人居环境水平。实施新一轮农村人居环境整治提升五年行动，解决好农村改厕、垃圾围村、污水治理问题。加强巴渝特色乡村整体风貌设计建设，打造乡村优质生活空间。稳步推进农村户厕改造。推进农村生活垃圾源头减量，健全农村生活垃圾收运与分类处置体系，农村生活垃圾分类行政村覆盖率达到95%以上。深化实施农村生活污水治理行动，持续巩固提升农村黑臭水体清零行动成效，农村生活污水治理率达到国家考核要求、保持全国领先水平。深入开展“林草兴生态兴文明兴”行动。\n\n（三）完善农村基础设施网络体系。深入实施提升农村饮水质量专项行动，强化饮用水水源地监管，统筹推进城乡供水一体化和农村供水县域统管，全面提升农村供水保障能力。实施新一轮农村公路提升行动，持续推动“四好农村路”高质量发展。扎实推进农村电网巩固提升工程，改善农网供电质量。推动现代宜居农房建设，新建和改造提升乡村应急避难场所。深化实施数字乡村网络发展“五提升一补盲”行动。完善现代物流等的基建网络，全市具备条件的区县实现邮运通模式全覆盖。完善乡村建设实施机制，健全农村基础设施管护长效机制。\n\n（四）稳步推进基本公共服务均等化。持续布局建设农村“30分钟高品质生活服务圈”。推动城乡义务教育一体化发展，改善县域普通高中和寄宿制学校办学条件，保留并办好必要的乡村小规模学校和幼儿园，办好农村特殊教育，加强县域教师队伍统筹配置。实施医疗卫生强基工程，推进区县级医院、乡镇（街道）卫生院和村卫生室提质升级，基本实现区县域医共体全覆盖。构建市、区县、乡镇（街道）、村（社区）四级养老服务网络。落实城乡居民基本养老保险待遇确定和正常调整机制，适时提高基础养老金标准，鼓励有条件的农户购买商业养老保险。发展县乡普惠托育服务。健全对农村留守儿童、妇女、老年人、残疾人等的关爱服务体系。\n\n（五）推进移风易俗培育向上向善文明乡风。培育和弘扬社会主义核心价值观，以“坚韧、忠勇、开放、争先”的重庆城市精神推动形成积极健康的乡村风尚。深化“春风满巴渝”社会风气提升行动。加强对高额彩礼、“无事酒”“活人墓”等的常态化治理。深化殡葬改革，推进绿色殡葬。繁荣发展乡村优秀文化，加强乡村历史文化遗产和巴渝农耕文化保护传承。深入开展“村晚”“村歌”等“村字号”文化体育活动，办好农民丰收节。\n\n（六）强化党建统领推进乡村治理现代化。迭代完善“141”基层智治体系，强化区县带乡镇（街道）、乡镇（街道）带村（社区）、村（社区）带网格联动机制落实。完善党组织领导的自治、法治、德治相结合的乡村治理体系，拓宽各类组织和村民参与基层治理的渠道。开展乡村法律顾问工作。全面落实“四议两公开”制度，纵深推进院落、院坝、院湾微治理，推广“三事分办”、积分制、清单制等有效治理模式。迭代升级“小院家”巴渝和美乡村数字应用。用好乡镇（街道）履行职责事项清单，提升“一表通”实战实效能力。扎实推进新时代“枫桥经验”重庆实践，持续推进矛盾纠纷大排查大起底大化解专项行动，常态化机制化开展扫黑除恶，加强农村宗教事务管理，维护乡村和谐稳定。\n\n## 专栏7 巴渝和美乡村建设\n\n提高农村供水保障水平：做好新增水源地保护区（范围）的划定工作，加强中小型水库建设与管护，新增供水能力3.44亿立方米。因地制宜推进集中供水规模化和小型供水规范化，迭代升级“农村供水保障”数字应用，建设农村供水工程1569处，推动37个区县供水县域统管。\n\n深化城乡教育共同体建设：推动城区优质学校与农村学校组建教育共同体，加快农村乡镇（街道）中心校与城区优质学校结对，实现课程共享、教师互派、教研联动。开展“教师轮岗交流”行动，其中城区、优质学校优秀教师向农村、薄弱学校交流轮岗的比例占符合交流条件教师比例的10%以上。优化农村学校布局，改善办学条件，补齐体育、艺术、实验等教学设施短板。\n\n乡村治理效能提升：深化实施“头雁领航·强村富民”工程，分级分类开展基层干部和网格员常态化培训，不断提升基层党建规范化水平。全域推进清廉村居建设，推进村级事务阳光工程。深化法律明白人“1+N”培养行动，累计培育人数达到8万名以上。促进民主法治示范村（社区）和“法律之家”等示范阵地提质扩面。推进平安法治乡村建设，加强农村最小应急处置单元建设，建成率、管事率达到100%。\n\n## 八、促进农民稳定增收致富\n\n（一）强化产业发展联农带农。深入推进千万农民增收致富促进行动。实施县域经济优势产业培育工程，打造各具特色的工业大县、农业强县和旅游名县。实施新型农业经营主体提质增效带动小农户增收行动，健全新型农业经营主体扶持政策同带动农户增收挂钩机制，支持新型农业经营主体通过订单生产、最低价收购、保底分红、入股参股、服务带动等方式，让农民分享更多增值收益。\n\n（二）促进农民稳岗就业增收。实施促进农民工就近就业行动，开发农村就近就业岗位，每年新增农民工就近就业30万人以上。巩固拓展荣昌卤鹅师、云阳面工、万州烤鱼师傅、重庆火锅师傅等品牌劳务输出渠道。全面落实各项援企稳岗就业政策，强化农民工工资支付保障，健全欠薪治理体系。稳步提高农民工参加城镇职工社会保险比例，将稳定就业居住的未落户常住人口家庭纳入公租房保障范围。\n\n（三）提升政策效能强农惠农。稳定实施耕地地力保护等补贴政策，推进农机购置与应用补贴“优机优补”“有进有出”，实施农机报废更新补贴政策。充分发挥支农支小再贷款、民营企业再贷款、科技创新和技术改造再贷款等政策激励作用，创新重点领域信贷服务模式。稳步扩大稻谷、玉米等大宗农产品保险覆盖面，鼓励开展优势特色农产品保险。深入实施以工代赈，加力扩围促进农村重点群体人员就业增收。\n\n（四）创新机制推动村强民富。开展完善农村承包地经营权流转价格形成机制整市试点，发挥农村产权流转交易市场在土地流转中的主平台作用，推动流转费用稳定在合理水平。健全土地增值收益分配机制，提高农民在土地增值收益中的分享比例。探索建立农村资源资产价格发现、价值实现机制，多渠道增加农民财产性收入。\n\n（五）扩容农村消费促农增收。培育壮大银发经济、研学经济、民宿经济、亲子经济、赛事经济等乡村新业态。拓展养老托幼、家政服务、生活维修等农村生活服务新场景。支持新能源汽车、绿色智能家电、绿色建材和家具家装下乡，促进农村大宗消费商品更新换代。持续完善农村商贸设施，提升消费设施和服务水平。严厉打击制售假冒伪劣商品行为，加强对农村消费者权益的保护。\n\n## 专栏8 农民增收致富\n\n健全利益联结机制：对联农带农紧密、助农增收有力的企业，给予财政奖补、金融信贷等支持。积极稳妥推进有条件的农村集体经济组织将经营收益等资金用于补助城乡居民参保缴费。\n\n加强农村土地承包地经营权流转费常态化监管：建立农村土地承包地经营权流转费常态化监管机制，引导通过建立风险保障金、开展履约保证保险、探索实物计租模式等，保障农民权益。\n\n农村资源资产盘活利用：支持农村集体经济组织积极盘活经营性资产，有序探索“土地+”“水库+”“森林+”等自然资源资产组合交易模式。构建“农户委托、集体收储、招商联营、利益共享”的农村资源盘活机制，加强农村宅基地盘活利用，统筹盘活农村闲置校舍校产、养老机构、公共文化场所等资产。分类盘活撂荒耕地。\n\n## 九、深化农业农村改革\n\n（一）健全以农合联改革为重点的为农服务体系。以深化农业生产、供销、信用“三位一体”改革为牵引，统筹推进农合联改革，推动市、区县、乡镇（街道）三级贯通的农合联服务机制全面成型。合理布局建立产业农合联，创新组建专业农合联，一体推进现代农事综合服务中心和为农服务中心建设。统筹涉农资源赋能农合联发展，建立健全农合联运行、治理机制。深入实施百亿级农业龙头企业培育工程，有序推进农业企业上市。加强农业领域“专精特新”“小巨人”培育，推动家庭农场、农民合作社等规范运营、提质发展。完善便捷高效的农业社会化服务体系，推广“供销合作社+村集体+农户”三方共耕服务模式。\n\n（二）深化强村富民综合改革。巩固农村集体产权制度改革成果，引导农村集体经济组织通过资源发包、物业出租、居间服务、经营性财产参股等稳健发展新型农村集体经济。创新村庄经营机制，积极探索通过多村联合、乡镇（街道）统筹、跨区域合作等方式组建强村公司，培育农村集体经济经理人。稳妥开展农业、林业“标准地”改革。健全农村集体“三资”监管机制，严控强村公司经营风险和债务，依法严厉打击农村非法集资活动。\n\n（三）稳步推进农村土地制度改革。稳慎推进第二轮土地承包到期后再延长三十年整市试点工作。深化承包地“三权”分置改革，深化集体林权制度改革，推动农业、林业适度规模经营发展。强化农村宅基地和农民建房审批管理。依法维护进城农民农村土地承包权、宅基地使用权、集体收益分配权，探索建立自愿有偿退出机制。\n\n（四）完善乡村人才培育和发展机制。高质量建设农业创业孵化园，培育打造一支带动力强的农创客队伍。选派“百团千人”专家服务基层，培育一批“神农英才”，用好科技特派员，持续实施乡村振兴巾帼行动，实施乡村产业振兴带头人培育“头雁”项目，大力培育巴渝“新农人”，培育壮大农村致富带头人队伍。实施农民综合素质提升行动，深入推进农民教育培训全链条管理全周期服务改革，每年培育高素质农民1万名。持续实施高校毕业生“三支一扶”和基层成长等计划。健全乡村建设工匠、巴渝传统工匠培训制度。健全乡村人才分级分类评价机制，深化实施职称评审定向评价、定向使用。\n\n## 专栏9 农业农村改革\n\n新型农业社会化服务体系建设：完善以农合联为纽带的为农服务大平台，在400个农合联中提质增效100个，改造建设200个为农服务中心，建成现代农事综合服务中心300个，打造“套餐式”服务包。\n\n建设农业创业孵化园：首批用3年左右时间，建成西部领先的市级农创园4个左右，引育农创企业60家以上，培育“农创客”100名以上。鼓励有条件的区县积极创建区县级农创园。\n\n推进农业职业学校融合发展：以需求为导向加快新农科建设，支持涉农高校试点实施乡村全科人才培养计划。推进重庆市农业学校、重庆市农机校与重庆农业职业学院融合发展，鼓励职业学校与农业企业等组建产教联合体，推动涉农专业定向培养，确保到2030年达到“双高”水平。加强农业广播电视学校建设发展。\n\n## 十、着力构建大城市带大农村城乡融合发展体制机制\n\n（一）构建优势互补的市域发展格局。强化中心城区产业引领、科技创新等核心功能，组团式推进城市功能品质提升。加快建设万州重要城市副中心、永川城市副中心和黔江区域中心城市，推动渝东北三峡库区、渝西地区、渝东南武陵山区高质量发展。深化主城都市区与山区库区协同发展机制，迭代民族地区、革命老区支持政策。加快推进以区县城和中心镇为重要载体的新型城镇化建设。\n\n（二）强化超大城市市场带动。打造城乡供需紧密衔接的消费市场，建立稳定直供基地，发展订单农业，常态化开展绿色优质农产品进商圈、进街区、进景区等活动。拓展城乡高效对接的线上市场，实施农村电商高质量发展工程，推进县域直播园区和跨境电商综试区建设，打造智慧电商云仓，推进数商兴农行动，壮大农产品电商直播新业态。升级打造重庆双福国际农贸城，建设一批国家农产品骨干冷链物流重点县、农产品产地冷链集配中心，布局冷链产地仓、田间保鲜仓，创新低空配送等模式，依托“千里轻舟”等大力开拓东部地区和海外市场。\n\n（三）强化超大城市产业带动。精准布局劳动密集型产业承接区、农产品产地初加工连接区、农文旅融合发展引领区。推动农文旅深度融合，放大“雄奇山水 新韵重庆”文旅品牌效应，深度挖掘巴渝农耕文化、非遗美食、红色文化等特色资源，串珠成链构建都市游、三峡游、武陵游、乡村游品牌矩阵。深入实施乡村休闲旅游精品工程，迭代升级“乡游悠”乡村休闲AI平台，推出一批市县级乡村休闲旅游精品线路，开展“渝见四季·沃野生辉”农文旅融合主题活动。推进“乡村+”多元融合发展，推动乡村产业与文化、旅游、康养等领域深度融合。\n\n（四）推动城乡要素深度融合。持续深化小县大城、强镇带村、强村富民贯通联动改革。完善“百强镇”培育体系，积极培育具备重要节点功能的中心镇。加快推进农村资源要素市场化配置综合改革试点，完善全市统一的农村产权交易体系，有序推进农村集体经营性建设用地入市。科学有序推进新一轮农业转移人口市民化。深入实施“四进三回”行动，持续推进“三师一家”下乡服务和“燕归巢”青年返乡就业工程。探索建立社会力量下乡负面清单。完善农村基础设施投融资体制机制。\n\n## 专栏10 城乡融合发展\n\n产业链供应链向山区库区延伸：深化产业协作，支持主城都市区在山区库区建设原料供应基地，布局劳动密集型产业承接区、农产品产地初加工连接区、农文旅融合发展引领区。因地制宜打造优势制造业，联动培育食品及农产品加工、特色轻纺等就业容量大的优势产业集群。\n\n市域结对协作发展：构建完善主城都市区与山区库区结对帮扶新体系，健全产业、科技、公共服务等共享机制，各结对区县每年协作引进2个以上项目、实际到位资金力争达5000万元。\n\n推动农文旅深度融合：打造一批智慧农庄、星空营地、非遗工坊、农耕体验园、文创展示馆等“文创+产业”应用场景，打造100条乡村休闲旅游精品线路。\n\n## 十一、健全完善保障机制\n\n坚持和加强党对“三农”工作的全面领导，落实“五级书记”抓乡村振兴政治责任。市委农办发挥牵头抓总、督促落实作用，制定年度任务清单和工作台账，压实各级各部门规划实施责任，形成工作合力。健全财政优先保障、金融重点倾斜、社会积极参与的多元投入机制。有序引导社会组织投身乡村振兴，充分调动农民群众参与乡村建设的积极性、主动性、创造性。完善农业农村法律规范体系，有序推进涉农立法，强化法治监督，加强农业农村普法。优化市对区县党委政府实施乡村振兴战略实绩的考核。全面落实国土空间规划和水资源刚性约束制度。开展农业农村现代化进展和水平监测，强化规划实施年度监测、中期评估和总结评估全过程管理，根据实际情况动态优化任务举措。\n\n来源：重庆市人民政府网\n\n声明：除原创内容特别说明外，推送稿件文字及图片均来源于网络及各大主流媒体。版权归原作者所有，如认为内容侵权，请联系我们删除。","重庆市长寿区人民政府(重庆市政府网转载)","2026-08-27T03:00:00Z",89,{"impact":196,"substance":196,"depth":197,"authority":64,"freshness":104,"relevant":34,"comment":198},25,20,"重庆市级农业农村现代化规划，内容详实，含具体指标与产业布局，对区域农业信息化发展具有重要指导意义。",[200],{"name":192,"url":189},[202,203,204,205,206],"十五五规划","重庆","产业大脑","渝农大脑","AI+农业",[],{"status":209,"locked":58,"version":59,"method":60,"evidence":210},"needs_review",{"candidates":211,"agricultural_evidence":26,"reason":251},[212,218,225,231,235,240,246],{"code":213,"score":69,"supported":26,"title":214,"abstract":216,"tags":217},"J2",[215],"农业农村现代化",[215],[],{"code":219,"score":220,"supported":26,"title":221,"abstract":222,"tags":224},"I1",4,[],[223],"智慧农业",[204],{"code":226,"score":81,"supported":26,"title":227,"abstract":228,"tags":230},"A8",[],[229],"粮食安全",[],{"code":48,"score":81,"supported":26,"title":232,"abstract":233,"tags":234},[],[71],[],{"code":51,"score":81,"supported":26,"title":236,"abstract":237,"tags":239},[],[238],"生物育种",[],{"code":241,"score":81,"supported":26,"title":242,"abstract":243,"tags":245},"F4",[],[244],"植保",[],{"code":247,"score":34,"supported":58,"title":248,"abstract":249,"tags":250},"J1",[],[],[202],"多个产业证据相当，需要确认主归属",[253,254],"十五五规划 产业大脑 渝农大脑 AI+农业","十五五规划 产业大脑","十五五规划产业大脑渝农大脑AI+农业-1074","2026-08-30T00:11:07.816650Z",{"id":258,"title":259,"url":260,"summary":261,"summary_zh":20,"content":262,"source_name":263,"source_url":20,"published_at":264,"category":24,"cover_url":20,"hotness":25,"is_selected":58,"score":265,"score_detail":266,"sources":268,"tags":270,"primary_topic":276,"secondary_topics":281,"classification":282,"search_phrases":290,"slug":293,"view_count":34,"doi":20,"paper":20,"created_at":294},1082,"中国农业科学院作科所万建民院士团队揭示亚洲栽培稻与非洲栽培稻种间生殖隔离机制 为超高产亚非杂交稻培育提供理论基础","https:\u002F\u002Fics.caas.cn\u002Fbllm\u002Ftplb\u002Findex.htm","8月28日,中国农业科学院作物科学研究所万建民院士团队联合多家单位解析亚洲栽培稻与非洲栽培稻种间生殖隔离分子机制,鉴定由三个基因组成的杂种不育三元遗传控制系统,获得可打破育性障碍的广亲和种质,为超高产亚非杂交稻培育提供重要理论基础。","[![Image 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[职能管理机构](https:\u002F\u002Fics.caas.cn\u002Fjgsz\u002Fzngljg\u002Findex.htm) \n    *   [科研内设机构](https:\u002F\u002Fics.caas.cn\u002Fjgsz\u002Fkynsjg\u002Findex.htm) \n\n*   [![Image 8](https:\u002F\u002Fics.caas.cn\u002Fimages\u002F2025-10\u002F9bb79b635f684fb2b34bd835837587eb.jpg)](https:\u002F\u002Fics.caas.cn\u002Fbllm\u002Ftplb\u002Findex.htm)  在作科所60余年发展历程中，涌现了金善宝、陈凤桐、戴松恩、李竞雄、徐冠仁、鲍文奎、庄巧生、董玉琛、刘旭、万建民、钱前、何中虎12位两院院士和邓景扬、王连铮、翟虎渠、韩天富等一批杰出科学家，为推动作物科技进步和保障国家粮食安全做出了重要贡献。 作科…  [![Image 9](https:\u002F\u002Fics.caas.cn\u002Fimages\u002Fnavicontops.png)](https:\u002F\u002Fics.caas.cn\u002Fxlglmt\u002F8c5b434fb70148b6bc5c24a2954c7889.htm)    \n\n    *   [院士专家](https:\u002F\u002Fics.caas.cn\u002Frctd\u002Fyszj\u002Findex.htm) \n    *   [创新团队](https:\u002F\u002Fics.caas.cn\u002Frctd\u002Fcxtd\u002Findex.htm) \n    *   [博士后培养](https:\u002F\u002Fics.caas.cn\u002Frctd\u002Fbshpy1\u002Findex.htm) \n    *   [人才招聘](https:\u002F\u002Fics.caas.cn\u002Frctd\u002Frczpr\u002Findex.htm) \n\n*   [![Image 10](https:\u002F\u002Fics.caas.cn\u002Fimages\u002F2025-11\u002F1d36aec1f7954be98ba52e4d512a46f1.jpg)](https:\u002F\u002Fics.caas.cn\u002Fbllm\u002Ftplb\u002Findex.htm)  作科所承担了国家农业科技重大项目、国家重点研发计划、国家自然科学基金、中国农科院创新工程重大任务等一大批科研项目。2003年以来，以第一完成单位或第一完成人获国家奖21项，其中，创新团队奖1项，科技进步一等奖5项，二等奖15项。近三年，在Cell、N…  [![Image 11](https:\u002F\u002Fics.caas.cn\u002Fimages\u002Fnavicontops.png)](https:\u002F\u002Fics.caas.cn\u002Fxlglmt\u002Fe25265aacf7344b286f697ce689e1092.htm)    \n\n    *   [获奖](https:\u002F\u002Fics.caas.cn\u002Fkycg\u002Fhj\u002Findex.htm) \n    *   [论文](https:\u002F\u002Fics.caas.cn\u002Fkycg\u002Flw\u002Findex.htm) \n    *   [著作](https:\u002F\u002Fics.caas.cn\u002Fkycg\u002Fzz\u002Findex.htm) \n    *   [专利](https:\u002F\u002Fics.caas.cn\u002Fkycg\u002Fzl\u002Findex.htm) \n    *   [新品种](https:\u002F\u002Fics.caas.cn\u002Fkycg\u002Fxpz\u002Findex.htm) \n    *   [新技术](https:\u002F\u002Fics.caas.cn\u002Fkycg\u002Fxjs\u002Findex.htm) \n    *   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[国家工程实验室\u002F研究中心](https:\u002F\u002Fics.caas.cn\u002Fkypt\u002Fgjgcsysyjzx\u002Findex.htm) \n    *   [其他科技基础条件平台](https:\u002F\u002Fics.caas.cn\u002Fkypt\u002Fgjbmzjzx\u002Findex.htm) \n    *   [试验基地](https:\u002F\u002Fics.caas.cn\u002Fkypt\u002Fsyjd\u002Findex.htm) \n\n*   [![Image 16](https:\u002F\u002Fics.caas.cn\u002Fimages\u002F2025-10\u002F473dc9ee7fc642da8bc54eef3a9a6c30.jpg)](https:\u002F\u002Fics.caas.cn\u002Fbllm\u002Ftplb\u002Findex.htm)  作科所已培育600余个粮食作物品种，年推广超3000万亩，其中14个品种入选全国主导品种。“玉米密植精准调控高产技术”等27项技术入选全国重大引领性技术或主推技术，年推广超5000万亩。创新“产业专家团”“科技包县”“田间课堂”等推广模式，帮扶50余个乡村振兴…  [![Image 17](https:\u002F\u002Fics.caas.cn\u002Fimages\u002Fnavicontops.png)](https:\u002F\u002Fics.caas.cn\u002Fxlglmt\u002Febb95290321e4c989b8d45b9791b871f.htm)    \n\n    *   [小麦产业专家团](https:\u002F\u002Fics.caas.cn\u002Fkjxn\u002Fxmcyzjt\u002Findex.htm) \n    *   [玉米产业专家团](https:\u002F\u002Fics.caas.cn\u002Fkjxn\u002Fymcyzjt\u002Findex.htm) \n    *   [大豆产业专家团](https:\u002F\u002Fics.caas.cn\u002Fkjxn\u002Fddcyzjt\u002Findex.htm) \n    *   [科技包县](https:\u002F\u002Fics.caas.cn\u002Fkjxn\u002Fkjbx\u002Findex.htm) \n\n*   [![Image 18](https:\u002F\u002Fics.caas.cn\u002Fimages\u002F2025-12\u002F014d4ee86ee24bd787fa91b2e9a15816.jpg)](https:\u002F\u002Fics.caas.cn\u002Fbllm\u002Ftplb\u002Findex.htm)  作科所是培养高层次农业科技人才的理想基地。汇聚顶尖师资192人，现有在籍及客座研究生近千人。近五年，研究生以第一或共一作者在国际顶级及知名期刊发表SCI论文1400余篇。为研究生提供优厚奖助支持，全力保障学生专注学业科研。  [![Image 19](https:\u002F\u002Fics.caas.cn\u002Fimages\u002Fnavicontops.png)](https:\u002F\u002Fics.caas.cn\u002Fxlglmt\u002F1729e3e1e5d4491ab5ecdc523d643318.htm)    \n\n    *   [培养概况](https:\u002F\u002Fics.caas.cn\u002Fyjsjy\u002Fyjspygk\u002Findex.htm) \n    *   [最新通知](https:\u002F\u002Fics.caas.cn\u002Fyjsjy\u002Fzxtz\u002Findex.htm) \n    *   [资料下载](https:\u002F\u002Fics.caas.cn\u002Fyjsjy\u002Fzs\u002Findex.htm) \n    *   [规章制度](https:\u002F\u002Fics.caas.cn\u002Fyjsjy\u002Fpy\u002Findex.htm) \n    *   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21](https:\u002F\u002Fics.caas.cn\u002Fimages\u002Fnavicontops.png)](https:\u002F\u002Fics.caas.cn\u002Fxlglmt\u002Fb5db6d9329a742d6bee25d32ca00b7fb.htm)    \n\n    *   [党群组织](https:\u002F\u002Fics.caas.cn\u002Fdjwh\u002Fzbzc\u002Findex.htm) \n    *   [规章制度](https:\u002F\u002Fics.caas.cn\u002Fdjwh\u002Fzdjs\u002Findex.htm) \n    *   [工作动态](https:\u002F\u002Fics.caas.cn\u002Fdjwh\u002Fdjgz\u002Findex.htm) \n\n*   [![Image 22](https:\u002F\u002Fics.caas.cn\u002Fimages\u002F2025-10\u002F6aa9a5c672ed42cb90043edaf457aeb7.jpg)](https:\u002F\u002Fics.caas.cn\u002Fbllm\u002Ftplb\u002Findex.htm)  北京特品降脂燕麦开发有限责任公司是中国农科院作物科学研究所全资子公司，也是中国第一颗燕麦片的缔造者。历经40余年深耕科研燕麦领域的全产业链老牌厂家，旗下拥有全国唯一\"燕麦保健品\"资质的品牌﹣世壮。  [![Image 23](https:\u002F\u002Fics.caas.cn\u002Fimages\u002Fnavicontops.png)](https:\u002F\u002Fics.caas.cn\u002Fxlglmt\u002Fedebab8030ab4bcab05c2c182e38a7ff.htm)    \n\n    *   [北京特品降脂燕麦开发有限责任公司](https:\u002F\u002Fics.caas.cn\u002Fsbqy1\u002Fbjtpjzymkfyxzrgs\u002Findex.htm) \n\n*   [![Image 24](https:\u002F\u002Fics.caas.cn\u002Fimages\u002F2025-10\u002Fd825d06042e048eb96dbfa9ac4f423f9.jpg)](https:\u002F\u002Fics.caas.cn\u002Fbllm\u002Ftplb\u002Findex.htm)  作科所主办英文版期刊1种，中文版期刊4种；第一主办期刊2种，《植物遗传资源学报》《中国种业》，由农业农村部主管；第二主办3种，《作物学报》《作物学报（英文版）》《作物杂志》，由中国科协主管。合作平台13个，牵头主持“为非洲和亚洲资源贫瘠地区培育绿色超级稻”等…  [![Image 25](https:\u002F\u002Fics.caas.cn\u002Fimages\u002Fnavicontops.png)](https:\u002F\u002Fics.caas.cn\u002Fxlglmt\u002Fcfa259d028f74b66a21fa313225fc6a0.htm)    \n\n    *   [学会](https:\u002F\u002Fics.caas.cn\u002Fxhqk\u002Fxh\u002Findex.htm) \n    *   [期刊](https:\u002F\u002Fics.caas.cn\u002Fxhqk\u002Fqk\u002Findex.htm) \n\n*   [海外优秀青年招聘公告](https:\u002F\u002Fics.caas.cn\u002Frctd\u002Frczpr\u002F9ee6114db02e4f5f9760328b075b15ed.htm) \n*   [中国农业科学院作物科学研究所常年面向国内外招收博士后](https:\u002F\u002Fics.caas.cn\u002Fgdxw\u002F253fa01f4e35407ca35da767d6d376af.htm) \n*   [中国农业科学院作物科学研究所诚聘全球英才](https:\u002F\u002Fics.caas.cn\u002Fgdxw\u002Fb61622ef633f45fa95926c14da02671d.htm) \n*   [中国农科院作物科学研究所关于征集所史资料及实物的启事](https:\u002F\u002Fics.caas.cn\u002Fgdxw\u002F2b60970c21a047e189b8d0cd776f5590.htm) \n\n[更多](https:\u002F\u002Fics.caas.cn\u002Fgdxw\u002Findex.htm)\n\n[![Image 26](https:\u002F\u002Fics.caas.cn\u002Fimages\u002Flogo2.png)](https:\u002F\u002Fics.caas.cn\u002Findex.htm)*   [首页](https:\u002F\u002Fics.caas.cn\u002Findex.htm)\n*   [新闻动态](https:\u002F\u002Fics.caas.cn\u002Fxwdt\u002Findex.htm)\n*   [所情所况](https:\u002F\u002Fics.caas.cn\u002Fjgsz\u002Findex.htm)\n*   [人才团队](https:\u002F\u002Fics.caas.cn\u002Frctd\u002Findex.htm)\n*   [科研成果](https:\u002F\u002Fics.caas.cn\u002Fkycg\u002Findex.htm)\n*   [国际合作](https:\u002F\u002Fics.caas.cn\u002Fhzjl\u002Findex.htm)\n*   [平台基地](https:\u002F\u002Fics.caas.cn\u002Fkypt\u002Findex.htm)\n*   [科技支撑](https:\u002F\u002Fics.caas.cn\u002Fkjxn\u002Findex.htm)\n*   [研究生教育](https:\u002F\u002Fics.caas.cn\u002Fyjsjy\u002Findex.htm)\n*   [党建文化](https:\u002F\u002Fics.caas.cn\u002Fdjwh\u002Findex.htm)\n*   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[所长致辞](https:\u002F\u002Fics.caas.cn\u002Fjgsz\u002Fsczc\u002Findex.htm) \n    *   [现任所领导](https:\u002F\u002Fics.caas.cn\u002Fjgsz\u002Fxrsld\u002Findex.htm) \n    *   [历任所长](https:\u002F\u002Fics.caas.cn\u002Fjgsz\u002Flrsc\u002Findex.htm) \n    *   [历任书记](https:\u002F\u002Fics.caas.cn\u002Fjgsz\u002Flrsj\u002Findex.htm) \n    *   [职能管理机构](https:\u002F\u002Fics.caas.cn\u002Fjgsz\u002Fzngljg\u002Findex.htm) \n    *   [科研内设机构](https:\u002F\u002Fics.caas.cn\u002Fjgsz\u002Fkynsjg\u002Findex.htm) \n\n*   [![Image 31](https:\u002F\u002Fics.caas.cn\u002Fimages\u002F2025-10\u002F9bb79b635f684fb2b34bd835837587eb.jpg)](https:\u002F\u002Fics.caas.cn\u002Fbllm\u002Ftplb\u002Findex.htm)  在作科所60余年发展历程中，涌现了金善宝、陈凤桐、戴松恩、李竞雄、徐冠仁、鲍文奎、庄巧生、董玉琛、刘旭、万建民、钱前、何中虎12位两院院士和邓景扬、王连铮、翟虎渠、韩天富等一批杰出科学家，为推动作物科技进步和保障国家粮食安全做出了重要贡献。 作科所现有工作人员2200余人，拥有22个科研创新团队和近百人的领军人才集群，其中两院院士3人、国家级人才55人、产业技术体系首席6人；院级人才计划56人…  [![Image 32](https:\u002F\u002Fics.caas.cn\u002Fimages\u002Fnavicontops.png)](https:\u002F\u002Fics.caas.cn\u002Fbllm\u002Ftplb\u002Findex.htm)    \n\n    *   [院士专家](https:\u002F\u002Fics.caas.cn\u002Frctd\u002Fyszj\u002Findex.htm) \n    *   [创新团队](https:\u002F\u002Fics.caas.cn\u002Frctd\u002Fcxtd\u002Findex.htm) \n    *   [博士后培养](https:\u002F\u002Fics.caas.cn\u002Frctd\u002Fbshpy1\u002Findex.htm) \n    *   [人才招聘](https:\u002F\u002Fics.caas.cn\u002Frctd\u002Frczpr\u002Findex.htm) \n\n*   [![Image 33](https:\u002F\u002Fics.caas.cn\u002Fimages\u002F2025-11\u002F1d36aec1f7954be98ba52e4d512a46f1.jpg)](https:\u002F\u002Fics.caas.cn\u002Fbllm\u002Ftplb\u002Findex.htm)  作科所承担了国家农业科技重大项目、国家重点研发计划、国家自然科学基金、中国农科院创新工程重大任务等一大批科研项目。2003年以来，以第一完成单位或第一完成人获国家奖21项，其中，创新团队奖1项，科技进步一等奖5项，二等奖15项。近三年，在Cell、Nature、Science主刊发表学术论文5篇，在我国作物科技自主创新发展中发挥了重要作用。  [![Image 34](https:\u002F\u002Fics.caas.cn\u002Fimages\u002Fnavicontops.png)](https:\u002F\u002Fics.caas.cn\u002Fbllm\u002Ftplb\u002Findex.htm)    \n\n    *   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36](https:\u002F\u002Fics.caas.cn\u002Fimages\u002Fnavicontops.png)](https:\u002F\u002Fics.caas.cn\u002Fbllm\u002Ftplb\u002Findex.htm)    \n\n    *   [基本情况](https:\u002F\u002Fics.caas.cn\u002Fhzjl\u002Fjbqk\u002Findex.htm) \n    *   [国合平台](https:\u002F\u002Fics.caas.cn\u002Fhzjl\u002Fgjhz\u002Findex.htm) \n    *   [国合项目](https:\u002F\u002Fics.caas.cn\u002Fhzjl\u002Fghxm\u002Findex.htm) \n    *   [国际会议](https:\u002F\u002Fics.caas.cn\u002Fhzjl\u002Fgjhy\u002Findex.htm) \n    *   [工作动态](https:\u002F\u002Fics.caas.cn\u002Fhzjl\u002Fgzdt\u002Findex.htm) \n\n*   [![Image 37](https:\u002F\u002Fics.caas.cn\u002Fimages\u002F2025-10\u002F6cdd68eef5c948e0810498136eee6c17.jpg)](https:\u002F\u002Fics.caas.cn\u002Fbllm\u002Ftplb\u002Findex.htm)  作科所现有国家农作物种质资源库、农作物基因资源与基因改良国家重大科学工程及作物基因资源与育种全国重点实验室等国家级科研平台21个，省部级平台14个、院级平台6个，已形成层级分明、功能互补的科技平台体系，为农业科技创新研究提供坚实的条件支撑。  [![Image 38](https:\u002F\u002Fics.caas.cn\u002Fimages\u002Fnavicontops.png)](https:\u002F\u002Fics.caas.cn\u002Fbllm\u002Ftplb\u002Findex.htm)    \n\n    *   [国家作物种质库](https:\u002F\u002Fics.caas.cn\u002Fkypt\u002Fgjzdkxss\u002Findex.htm) \n    *   [全国重点实验室](https:\u002F\u002Fcgrb.caas.cn\u002F) \n    *   [国家重大科学工程](https:\u002F\u002Fics.caas.cn\u002Fkypt\u002Fgjzdkxgc\u002Findex.htm) \n    *   [农业农村部重点实验室](https:\u002F\u002Fics.caas.cn\u002Fkypt\u002Fnybzdsys\u002Findex.htm) \n    *   [品种改良中心\u002F分中心](https:\u002F\u002Fics.caas.cn\u002Fkypt\u002Fpzglzxfzx\u002Findex.htm) \n    *   [野外台站](https:\u002F\u002Fics.caas.cn\u002Fkypt\u002Fywtz\u002Findex.htm) \n    *   [国家工程实验室\u002F研究中心](https:\u002F\u002Fics.caas.cn\u002Fkypt\u002Fgjgcsysyjzx\u002Findex.htm) \n    *   [其他科技基础条件平台](https:\u002F\u002Fics.caas.cn\u002Fkypt\u002Fgjbmzjzx\u002Findex.htm) \n    *   [试验基地](https:\u002F\u002Fics.caas.cn\u002Fkypt\u002Fsyjd\u002Findex.htm) \n\n*   [![Image 39](https:\u002F\u002Fics.caas.cn\u002Fimages\u002F2025-10\u002F473dc9ee7fc642da8bc54eef3a9a6c30.jpg)](https:\u002F\u002Fics.caas.cn\u002Fbllm\u002Ftplb\u002Findex.htm)  作科所已培育600余个粮食作物品种，年推广超3000万亩，其中14个品种入选全国主导品种。“玉米密植精准调控高产技术”等27项技术入选全国重大引领性技术或主推技术，年推广超5000万亩。创新“产业专家团”“科技包县”“田间课堂”等推广模式，帮扶50余个乡村振兴重点县提升粮食单产与乡村发展。通过强化科企、所地联合攻关，持续推动重大品种选育取得新突破。  [![Image 40](https:\u002F\u002Fics.caas.cn\u002Fimages\u002Fnavicontops.png)](https:\u002F\u002Fics.caas.cn\u002Fbllm\u002Ftplb\u002Findex.htm)    \n\n    *   [小麦产业专家团](https:\u002F\u002Fics.caas.cn\u002Fkjxn\u002Fxmcyzjt\u002Findex.htm) \n    *   [玉米产业专家团](https:\u002F\u002Fics.caas.cn\u002Fkjxn\u002Fymcyzjt\u002Findex.htm) \n    *   [大豆产业专家团](https:\u002F\u002Fics.caas.cn\u002Fkjxn\u002Fddcyzjt\u002Findex.htm) \n    *   [科技包县](https:\u002F\u002Fics.caas.cn\u002Fkjxn\u002Fkjbx\u002Findex.htm) \n\n*   [![Image 41](https:\u002F\u002Fics.caas.cn\u002Fimages\u002F2025-12\u002F014d4ee86ee24bd787fa91b2e9a15816.jpg)](https:\u002F\u002Fics.caas.cn\u002Fbllm\u002Ftplb\u002Findex.htm)  作科所是培养高层次农业科技人才的理想基地。汇聚顶尖师资192人，现有在籍及客座研究生近千人。近五年，研究生以第一或共一作者在国际顶级及知名期刊发表SCI论文1400余篇。为研究生提供优厚奖助支持，全力保障学生专注学业科研。  [![Image 42](https:\u002F\u002Fics.caas.cn\u002Fimages\u002Fnavicontops.png)](https:\u002F\u002Fics.caas.cn\u002Fbllm\u002Ftplb\u002Findex.htm)    \n\n    *   [培养概况](https:\u002F\u002Fics.caas.cn\u002Fyjsjy\u002Fyjspygk\u002Findex.htm) \n    *   [最新通知](https:\u002F\u002Fics.caas.cn\u002Fyjsjy\u002Fzxtz\u002Findex.htm) \n    *   [资料下载](https:\u002F\u002Fics.caas.cn\u002Fyjsjy\u002Fzs\u002Findex.htm) \n    *   [规章制度](https:\u002F\u002Fics.caas.cn\u002Fyjsjy\u002Fpy\u002Findex.htm) \n    *   [办事流程](https:\u002F\u002Fics.caas.cn\u002Fyjsjy\u002Fby\u002Findex.htm) \n    *   [博士生导师](https:\u002F\u002Fics.caas.cn\u002Fyjsjy\u002Fbssds\u002Findex.htm) \n    *   [硕士生导师](https:\u002F\u002Fics.caas.cn\u002Fyjsjy\u002Fsssds\u002Findex.htm) \n    *   [研究生会](https:\u002F\u002Fics.caas.cn\u002Fyjsjy\u002Fyjsh\u002Findex.htm) \n    *   [学生活动](https:\u002F\u002Fics.caas.cn\u002Fyjsjy\u002Fyjsfc\u002Findex.htm) \n    *   [研究生风采](https:\u002F\u002Fics.caas.cn\u002Fyjsjy\u002Fyjsfc1\u002Findex.htm) \n    *   [研究生招生](https:\u002F\u002Fics.caas.cn\u002Fyjsjy\u002Fyjszs\u002Findex.htm) \n\n*   [![Image 43](https:\u002F\u002Fics.caas.cn\u002Fimages\u002F2025-10\u002Fe4e1bd67634b43efa510fb4dbad99e14.jpg)](https:\u002F\u002Fics.caas.cn\u002Fbllm\u002Ftplb\u002Findex.htm)  坚持以习近平新时代中国特色社会主义思想为指导，加强党对科技创新的全面领导，设有所党委、所纪委，下辖36个党支部，其中10个党支部入选中央和国家机关“四强”党支部；设立工会、妇委会、青工","中国农业科学院作物科学研究所","2026-08-28T07:00:00Z",82,{"impact":196,"substance":197,"depth":103,"authority":103,"freshness":104,"relevant":34,"comment":267},"国家级科研机构重大突破，揭示水稻种间生殖隔离机制，为超高产育种提供理论基础，信息增量高，权威性强。",[269],{"name":263,"url":260},[271,272,273,274,275],"水稻","中国农科院","作科所","万建民","杂种优势",{"code":277,"slug":278,"name":271,"path":279,"parent_code":280},"A1","rice","\u002Ftopic\u002Ffield-crops\u002Frice","A",[],{"status":57,"locked":58,"version":59,"method":60,"evidence":283},{"candidates":284,"agricultural_evidence":26},[285],{"code":277,"score":64,"supported":26,"title":286,"abstract":288,"tags":289},[287],"杂交稻",[287],[271],[291,292],"中国农科院 杂种优势 万建民 作科所","中国农科院 杂种优势","中国农科院杂种优势万建民作科所-1082","2026-08-30T00:11:09.344134Z",{"id":296,"title":297,"url":298,"summary":299,"summary_zh":20,"content":300,"source_name":301,"source_url":20,"published_at":23,"category":147,"cover_url":20,"hotness":25,"is_selected":26,"score":265,"score_detail":302,"sources":304,"tags":306,"primary_topic":310,"secondary_topics":315,"classification":316,"search_phrases":342,"slug":345,"view_count":220,"doi":20,"paper":20,"created_at":346},1073,"农业农村部对政协第十四届全国委员会第四次会议第02311号提案答复的函摘要:深入实施智慧农业行动 推进数字化技术落地应用","https:\u002F\u002Fwww.moa.gov.cn\u002Fgovpublic\u002Fbfs\u002F202608\u002Ft20260827_6487059.htm","农业农村部经商国家发展改革委、工业和信息化部,就马珺委员《关于以新质生产力推动脱贫地区产业稳定发展的提案》作出答复。农业农村部表示把智慧农业作为发展现代农业的重要方向,加强农业产业数智赋能;建设大豆、棉花等单品种全产业链大数据分析应用中心;运用农业农村基础设施融资项目库,引导金融机构创新适配脱贫地区的产品和服务;鼓励农业社会化服务主体充分利用大数据、云计算、人工智能等信息技术和手段,提升面向小农户等生产经营主体的综合服务能力。下一步,将深入实施智慧农业行动,推进数字化技术落地应用,为帮扶产业高质量发展提供数智支撑。","马珺委员：\n\n您提出的《关于 以新质生产力推动脱贫地区产业稳定发展的提案》收悉。经商 国家发展改革委、工业和信息化部，现答复如下：\n\n一、关于 推动产业基础高级化，从生产环节植入工业化基因\n\n过渡期以来，农业农村部会同相关部门加强对脱贫地区产业发展指导，强化创新驱动，加大政策扶持，促进脱贫地区产业发展。**一是大力支持农产品产后处理。**农业农村部 会同相关部门 着力提升农产品加工等产后处理环节，减少产后损失，延长供应时间。支持推广良种良法和先进生产加工技术，购买技术服务。引导农业企业到脱贫地区建设农产品加工基地，组织科研院所与脱贫地区联合开展加工技术攻关，推动科研成果转化应用。**二是推动拓展农产品功能价值。**农业农村部推进农产品深度开发，开发系列化的加工制品。工业和信息化部推动以合成生物学为代表的生物技术赋能食品工业发展，支持发展新型食品原料、添加剂、天然营养和功能成分以及新型动物饲料，开展天然产物、菌体蛋白、油脂、糖等生物合成食品关键组分制造。国家发展改革委统筹利用各类资金渠道，支持各地农产品加工骨干企业发挥当地资源禀赋优势，提升优质农产品附加值和综合利用水平。\n\n下一步，农业农村部将会同相关部门加大帮扶产业政策支持力度，着力推动农产品初加工、精深加工、副产物综合利用加工协同发展，促进帮扶产业延长 产业链、提升价值链。\n\n二、关于 构建数字应用新生态，从数据要素催生新型服务\n\n近年来，农业农村部 把智慧农业作为发展现代农业的重要方向，加强农业产业数智赋能，新技术新场景新模式 不断涌现。**一是加强数据分析应用。**建设 大豆、棉花等单品种全产业链大数据分析应用中心，为生产指导、行业发展、政策制定等提供支撑。支持建设智慧农业创新应用项目，探索形成了一批信息技术与农机农艺相融合的节本增产增效技术模式。**二是深化投融资对接服务。**运用农业农村基础设施融资项目库，引导金融机构创新适配 脱贫 地区的产品和服务。**三****是推动数字赋能农业社会化服务。**鼓励农业社会化服务主体充分利用大数据、云计算、人工智能等信息技术和手段，提升面向小农户等生产经营主体的综合服务能力。\n\n下一步，农业农村部 将 深入实施智慧农业行动，推进 数字化技术落地应用，为帮扶产业高质量发展提供数智支撑。\n\n三、关于 探索生态化转型路径，将绿色发展转化为实际收益\n\n农业农村部坚持开发式帮扶与绿色发展并重，会同相关部门指导脱贫地区生态产业化与产业生态化协同发展，推动实现经济效益、社会效益与生态效益有机统一。指导脱贫地区加强绿色生产技术模式、绿色投入品推广应用，依托田园风光、绿水青山等特色资源发展乡村旅游、休闲农业等新产业新业态，推进生态价值转化为经济价值。\n\n下一步，农业农村部将会同相关部门指导各地在常态化开展产业帮扶中，因地制宜发展生态产业，探索农业生态产品价值多元化实现路径模式，促进帮扶对象分享生态收益。\n\n四、关于 创新区域协同机制，构建开放联动的产业创新网络\n\n近年来，农业农村部会同相关部门积极动员社会力量参与帮扶产业发展，推动区域合作、产业协作、产销对接，凝聚产业帮扶工作合力。**一是深化产业合作和人才服务。**发挥 东西部协作、定点帮扶、驻村帮扶、社会帮扶等“四支力量”作用，动员各方力量支持脱贫地区产业发展。向国家乡村振兴重点帮扶县选派科技特派团，向重点帮扶县之外的脱贫县选派产业顾问组，推广科技小院模式，引导和支持科研院所、高等院校专家到脱贫地区开展科技服务。**二是****促进产业协同发展和产销对接。**东西部协作双方 携手共建产业园区，创新构建“企业+基地”、“资金+产业”、“技术+企业”、“市场+产品”的“4+”合作模式。支持脱贫地区 帮扶产业经营主体 参加农交会、农民丰收节等展示展销活动，搭建产业合作交流平台，动员和组织各大电商平台积极参与消费帮扶、促进产销对接，有力推动脱贫地区优质产品销售。\n\n下一步，农业农村部将会同相关部门，继续统筹发挥 东西部协作、定点帮扶、驻村帮扶、社会帮扶等“四支力量”作用，常态化开展科技、金融、营销等组团式对接服务，优化人才引育方式，持续做好消费帮扶，促进帮扶产业提档升级。\n\n感谢您对我部工作的关心，希望继续对“三农”工作给予支持。\n\n农业农村部\n\n20 2 6 年 8 月 24 日","农业农村部",{"impact":196,"substance":197,"depth":103,"authority":103,"freshness":104,"relevant":34,"comment":303},"农业农村部官方答复，明确智慧农业行动方向，政策层级高，信息具体，时效性较好。",[305],{"name":301,"url":298},[223,307,308,309],"数字赋能","提案答复","帮扶产业",{"code":311,"slug":312,"name":313,"path":314,"parent_code":117},"G2","farm-services","社会化服务与规模经营","\u002Ftopic\u002Frural-services\u002Ffarm-services",[],{"status":57,"locked":58,"version":59,"method":60,"evidence":317},{"candidates":318,"agricultural_evidence":26},[319,324,330,336],{"code":219,"score":320,"supported":26,"title":321,"abstract":322,"tags":323},13,[223],[223],[307,223],{"code":311,"score":123,"supported":26,"title":325,"abstract":326,"tags":329},[],[327,328],"社会化服务","小农户",[],{"code":331,"score":81,"supported":26,"title":332,"abstract":333,"tags":335},"A4",[],[334],"大豆",[],{"code":337,"score":81,"supported":26,"title":338,"abstract":339,"tags":341},"A6",[],[340],"棉花",[],[343,344],"帮扶产业 提案答复 数字赋能 智慧农业","帮扶产业 提案答复","帮扶产业提案答复数字赋能智慧农业-1073","2026-08-30T00:11:07.783177Z",{"id":348,"title":349,"url":350,"summary":351,"summary_zh":20,"content":352,"source_name":353,"source_url":20,"published_at":354,"category":355,"cover_url":20,"hotness":25,"is_selected":58,"score":356,"score_detail":357,"sources":360,"tags":362,"primary_topic":367,"secondary_topics":371,"classification":372,"search_phrases":390,"slug":393,"view_count":220,"doi":20,"paper":20,"created_at":394},1120,"Smart Agriculture Development: How Can Rural Digital Transformation Enhance the Resilience of Food Security? (Foods 2026, 15(3), 426)","https:\u002F\u002Fwww.mdpi.com\u002F2304-8158\u002F15\u002F3\u002F426","Yingjie Song、Yi Song、Qiusu Wang 发表论文。基于2012—2023年中国粮食主产县面板数据,将2020年\"国家数字乡村试点项目\"作为准自然实验,采用双重差分模型评估该政策对粮食安全韧性的影响及其机制。结果显示:数字乡村发展对粮食安全韧性具有显著驱动效应,在南方地区、劳动资源丰富地区、经济发展水平较低地区效应更显著。机制分析表明,数字乡村发展通过规模化粮食经营和农业技术进步增强粮食安全韧性;资源配置效率和财政透明度对数字乡村发展影响粮食安全韧性起正向调节作用。","Logical Operator Operator\n\nSearch Text\n\nSearch Type\n\n_add\\_circle\\_outline_\n\n_remove\\_circle\\_outline_\n\n[![Image 1: foods-logo](https:\u002F\u002Fpub.mdpi-res.com\u002Fimg\u002Fjournals\u002Ffoods-logo.png?a8f99d50b4c10c98)](https:\u002F\u002Fwww.mdpi.com\u002Fjournal\u002Ffoods)\n\n## Article Menu\n\nFont Type:\n\n_Arial_ _Georgia_ _Verdana_\n\nFont Size:\n\nAa Aa Aa\n\nLine Spacing:\n\n__ __ __\n\nColumn Width:\n\n__ __ __\n\nBackground:\n\nOpen Access Article\n\nby \nYingjie Song\n\n, \nYi Song\n\n[](mailto:sy230218tax@163.com) and \nQiusu Wang\n\n *[](mailto:wqiusu824@163.com)[![Image 2: ORCID](https:\u002F\u002Fpub.mdpi-res.com\u002Fimg\u002Fdesign\u002Forcid.png?0465bc3812adeb52?1788001719)](https:\u002F\u002Forcid.org\u002F0009-0004-9043-4175)\n\nSchool of Finance, Shandong Technology and Business University, Yantai 264000, China\n\n*\n\nAuthor to whom correspondence should be addressed.\n\nSubmission received: 6 December 2025 \u002F Revised: 14 January 2026 \u002F Accepted: 22 January 2026 \u002F Published: 24 January 2026\n\n## Abstract\n\nThe essential prerequisite for the state to ensure the stable production and supply of grain and other key agricultural products is to enhance food security resilience and transform traditional agricultural production and management models. This study utilizes panel data from major grain-producing counties in China from 2012 to 2023. Adopting the 2020 “National Digital Rural Pilot Program” as a quasi-natural experiment, it applies a difference-in-differences (DID) model to assess the program’s impact on food security resilience and its underlying mechanisms. The results demonstrate that digital rural development has a significant driving effect on food security resilience, with more pronounced effects observed in Southern regions, areas endowed with abundant labor resources, and regions with lower economic development levels. Mechanism analyses indicate that digital rural development plays a role in enhancing food security resilience through scaled grain operations and agricultural technological progress. Furthermore, resource allocation efficiency and fiscal transparency exert a positive regulatory effect in impacting food security resilience through digital rural development. This study elucidates the mechanism through which digital rural development enhances food security resilience, offering valuable policy insights for the coordinated advancement of rural revitalization and agricultural digitization.\n\n## 1. Introduction\n\nFood is the cornerstone of national security, food security is the fundamental guarantee for the stability and sustainable development of the national economy and society, and food security resilience serves as the critical support for withstanding risks and consolidating the baseline of food security. Together, these three components constitute the material foundation and security guarantee for national stability, social development, and public well-being. Currently, a confluence of multiple risk factors is synergistically exacerbating threats to global food security, including increasingly severe global climate change [[1](https:\u002F\u002Fwww.mdpi.com\u002F2304-8158\u002F15\u002F3\u002F426#B1-foods-15-00426)], a resurgence of geopolitical conflicts [[2](https:\u002F\u002Fwww.mdpi.com\u002F2304-8158\u002F15\u002F3\u002F426#B2-foods-15-00426)], and heightened volatility in international food trade [[3](https:\u002F\u002Fwww.mdpi.com\u002F2304-8158\u002F15\u002F3\u002F426#B3-foods-15-00426)]. Some low-income countries are even facing food shortages. Food security resilience, which denotes the capacity of food systems to withstand shocks and stresses while maintaining essential functions, constitutes a fundamental pillar for ensuring stable food production and sustainable supply. As the world’s most populous nation, China has been making sustained and substantive contributions to global food security and its resilience through a series of effective and systematic measures. During the 20th National Congress of the Communist Party of China, the government articulated the strategy to “comprehensively consolidate the foundation of food security”, delineating a systematic framework to contribute to food security resilience. Correspondingly, the 2025 Central Document No. 1 explicitly emphasizes the imperative to “continuously enhance the supply security capacity of grain and other key agricultural products”. By implementing targeted measures, including “stabilizing cultivated areas while enhancing yields, reinforcing technological support, and improving income safeguards”, it seeks to efficiently operationalize capacity-building programs that help bolster the resilience of the grain system to risks and ensure a stable supply.\n\nDespite a sustained average annual growth rate of 1.45 percent in China’s grain output over the past decade, signifying long-term steady progress, significant disparities persist in grain production efficiency and cultivated land quality relative to developed nations. These gaps are further amplified by the international context, resulting in accumulating external pressures on China’s food security. Frequent extreme climate events, such as droughts, floods, and typhoons across various regions, have substantially disrupted the normal growth cycles of grain crops, impeded biomass accumulation, and consequently diminished yields. This situation underscores the structural vulnerabilities within China’s food security system when exposed to abrupt external environmental shocks [[4](https:\u002F\u002Fwww.mdpi.com\u002F2304-8158\u002F15\u002F3\u002F426#B4-foods-15-00426)]. Meanwhile, the reallocation of land away from grain production amid urbanization and agricultural modernization [[5](https:\u002F\u002Fwww.mdpi.com\u002F2304-8158\u002F15\u002F3\u002F426#B5-foods-15-00426)], combined with the low profitability of grain cultivation that discourages farmers’ planting enthusiasm, has created systemic incentive distortions [[6](https:\u002F\u002Fwww.mdpi.com\u002F2304-8158\u002F15\u002F3\u002F426#B6-foods-15-00426)]. These internal factors collectively undermine the endogenous stability of food security. This indicates that ensuring China’s food security extends beyond maintaining total grain output and necessitates a transition toward greater resilience.\n\nIn 2020, China officially launched the “National Digital Rural Pilot Program”, a strategic measure designed to contribute to the resilience of its food security system. Since its implementation, the digital rural pilot policy has contributed to agricultural modernization [[7](https:\u002F\u002Fwww.mdpi.com\u002F2304-8158\u002F15\u002F3\u002F426#B7-foods-15-00426)] by leveraging advanced technological innovations to increase grain yield and quality [[8](https:\u002F\u002Fwww.mdpi.com\u002F2304-8158\u002F15\u002F3\u002F426#B8-foods-15-00426)], improve land productivity [[9](https:\u002F\u002Fwww.mdpi.com\u002F2304-8158\u002F15\u002F3\u002F426#B9-foods-15-00426)], and augment human capital levels [[10](https:\u002F\u002Fwww.mdpi.com\u002F2304-8158\u002F15\u002F3\u002F426#B10-foods-15-00426),[11](https:\u002F\u002Fwww.mdpi.com\u002F2304-8158\u002F15\u002F3\u002F426#B11-foods-15-00426)]. The adoption of digital agricultural technologies, particularly integrated water–fertilizer irrigation and precision farming systems, has increased grain yield per unit area, accounting for over 70 percent of the total growth in grain production. The application of digital technology and smart agriculture is associated with the advancement of traditional agricultural production through technological innovation [[12](https:\u002F\u002Fwww.mdpi.com\u002F2304-8158\u002F15\u002F3\u002F426#B12-foods-15-00426)]. By integrating agricultural production factors, it contributes to reducing grain production losses in quantitative terms [[13](https:\u002F\u002Fwww.mdpi.com\u002F2304-8158\u002F15\u002F3\u002F426#B13-foods-15-00426)] and enhancing resource allocation efficiency in qualitative terms [[14](https:\u002F\u002Fwww.mdpi.com\u002F2304-8158\u002F15\u002F3\u002F426#B14-foods-15-00426)]. This approach strengthens the stability and adaptability of the grain supply chain, thereby reinforcing the system’s resilience to external shocks and providing solid support for stable production capacity. Concurrently, as the digital rural initiative advances, over 90% of China’s administrative villages have achieved 5G coverage. Agricultural big data platforms, established through digital technologies, facilitate the real-time monitoring of national cropland cultivation status. This effectively curbs the conversion of farmland to non-agricultural and non-grain uses [[15](https:\u002F\u002Fwww.mdpi.com\u002F2304-8158\u002F15\u002F3\u002F426#B15-foods-15-00426)], thereby fortifying a solid defense for the stability of grain planting areas. Evidently, the implementation of digital rural development not only effectively mitigates external risks and internal structural contradictions within the grain industry but also constitutes a core pathway for enhancing food security resilience.\n\nSince resilience thinking was introduced into agricultural research, food security resilience has been predominantly defined as the capacity of a food system to sustain its essential functions and structural integrity when confronted with diverse disturbances [[16](https:\u002F\u002Fwww.mdpi.com\u002F2304-8158\u002F15\u002F3\u002F426#B16-foods-15-00426)]. Existing research defines food security resilience as the ability of food systems to withstand shocks while preserving systemic stability [[17](https:\u002F\u002Fwww.mdpi.com\u002F2304-8158\u002F15\u002F3\u002F426#B17-foods-15-00426)]. The new era necessitates building a sustainable food security system that balances quantity, quality, and ecological sustainability, marking a strategic shift from a yield-centric paradigm toward multidimensional coordination [[18](https:\u002F\u002Fwww.mdpi.com\u002F2304-8158\u002F15\u002F3\u002F426#B18-foods-15-00426)]. Building upon this foundation, the core essence of food security resilience discussed in this study lies in the fundamental enhancement of a food system’s risk resistance capacity. This is achieved through structural adjustments and functional optimization in response to internal and external disturbances such as extreme weather and market volatility. Such resilience not only ensures stable food supply but also improves food quality, thereby realizing a “qualitative transformation”. It is not merely about immediate growth in quantitative indicators like food production volume or yield per unit area to achieve “quantitative expansion” [[19](https:\u002F\u002Fwww.mdpi.com\u002F2304-8158\u002F15\u002F3\u002F426#B19-foods-15-00426)]. Existing studies indicate that although the overall resilience of national food security has exhibited a fluctuating upward trajectory [[20](https:\u002F\u002Fwww.mdpi.com\u002F2304-8158\u002F15\u002F3\u002F426#B20-foods-15-00426)], significant regional disparities persist, with resilience levels being higher in central and eastern regions and lower in the western region, particularly more pronounced in major grain-producing areas [[21](https:\u002F\u002Fwww.mdpi.com\u002F2304-8158\u002F15\u002F3\u002F426#B21-foods-15-00426)]. Concurrently, the development of the current food system encounters a complex landscape shaped by multiple intertwined factors. Externally, uncertainties such as climate change [[22](https:\u002F\u002Fwww.mdpi.com\u002F2304-8158\u002F15\u002F3\u002F426#B22-foods-15-00426),[23](https:\u002F\u002Fwww.mdpi.com\u002F2304-8158\u002F15\u002F3\u002F426#B23-foods-15-00426)], geopolitical conflicts [[24](https:\u002F\u002Fwww.mdpi.com\u002F2304-8158\u002F15\u002F3\u002F426#B24-foods-15-00426)], and economic cyclical fluctuations [[25](https:\u002F\u002Fwww.mdpi.com\u002F2304-8158\u002F15\u002F3\u002F426#B25-foods-15-00426)] continue to impose persistent impacts. Internally, key elements including the foundational conditions for agricultural production [[26](https:\u002F\u002Fwww.mdpi.com\u002F2304-8158\u002F15\u002F3\u002F426#B26-foods-15-00426)], the efficacy of scientific and technological innovation conversion [[27](https:\u002F\u002Fwww.mdpi.com\u002F2304-8158\u002F15\u002F3\u002F426#B27-foods-15-00426)], the implementation outcomes of policy subsidies [[28](https:\u002F\u002Fwww.mdpi.com\u002F2304-8158\u002F15\u002F3\u002F426#B28-foods-15-00426),[29](https:\u002F\u002Fwww.mdpi.com\u002F2304-8158\u002F15\u002F3\u002F426#B29-foods-15-00426)], and the structure of the supply chain system still require substantial improvement [[30](https:\u002F\u002Fwww.mdpi.com\u002F2304-8158\u002F15\u002F3\u002F426#B30-foods-15-00426)]. Compounded by the inherent vulnerabilities of the grain industry and structural contradictions derived from imbalanced internal incentive mechanisms [[31](https:\u002F\u002Fwww.mdpi.com\u002F2304-8158\u002F15\u002F3\u002F426#B31-foods-15-00426)], this situation underscores the fact that enhancing resilience cannot be accomplished through internal self-adjustment and optimization alone. It urgently demands external support and systemic reforms to create synergistic effects. Digital technologies, encompassing big data, cloud computing, and artificial intelligence, are propelling a profound paradigm shift in agriculture. This transformation derives from the robust data analysis and processing capabilities, as well as intelligent decision-support functionalities, inherent in digital technologies [[32](https:\u002F\u002Fwww.mdpi.com\u002F2304-8158\u002F15\u002F3\u002F426#B32-foods-15-00426)]. It injects a revolutionary driving force into the systematic enhancement of food security resilience. Unlike traditional approaches that primarily focus on short-term productivity gains, digital rural development achieves intelligent cultivation models through the deep integration of digital technologies across the entire agricultural value chain. This enhances the risk response capabilities of agricultural producers, thereby providing systematic external support for strengthening food security resilience. At this critical juncture of agriculture’s transition towards digitalization, informatization, and intelligent transformation, major grain-producing regions carry the vital responsibility of safeguarding national food security [[19](https:\u002F\u002Fwww.mdpi.com\u002F2304-8158\u002F15\u002F3\u002F426#B19-foods-15-00426)]. Hence, advancing the deep integration of digital rural development with agricultural production has emerged as a pivotal strategic pathway, one that contributes to the overall competitiveness of agriculture and guarantees stable supply in major grain-producing areas [[33](https:\u002F\u002Fwww.mdpi.com\u002F2304-8158\u002F15\u002F3\u002F426#B33-foods-15-00426)].\n\nTo achieve this, this study concentrates on major grain-producing areas as its research focus. It establishes an evaluation framework for food security resilience grounded in three core dimensions: resistance capacity, recovery capacity, and transformation capacity [[34](https:\u002F\u002Fwww.mdpi.com\u002F2304-8158\u002F15\u002F3\u002F426#B34-foods-15-00426)]. Utilizing this framework, the study examines the impact of the “National Digital Rural Pilot Program” policy on food security resilience and investigates its underlying mechanisms. The primary contributions of this research are threefold: (1) Perspective innovation—digital rural development represents a crucial policy instrument for promoting agricultural modernization. However, its potential effect on food security resilience has not yet undergone systematic empirical assessment. This study offers a novel perspective for utilizing digital rural initiatives to enable resilience governance and ensure food security. (2) Methodological advancement—methodologically, this study diverges from prior approaches that often relied on subjective comprehensive evaluation methods to measure digital rural development levels. By conceptualizing the “National Digital Rural Pilot Program” as a quasi-natural experiment and applying the difference-in-differences method, it mitigates the subjectivity inherent in evaluating digital rural initiatives, thereby furnishing more objective empirical evidence for national digital rural development. (3) Content enrichment—regarding research content, this study delves into the actual transmission mechanisms of digital rural development policies and elucidates their pathways for enhancing food security resilience. Specifically, from the standpoints of large-scale grain operations and agricultural technological advancement, it clarifies the mechanism through which digital rural development contributes to food security resilience, separately verifying the mediating roles of large-scale operations and agricultural technological progress. Furthermore, considering issues such as information asymmetry and the urban–rural digital divide, it investigates the moderating effects of resource allocation efficiency and fiscal transparency within the process of digital rural development enhancing food security resilience.\n\n## 2. Theoretical Analysis\n\nThe essence of digital rural development lies in utilizing digital technology as the core driving force to bridge the urban–rural digital divide, thereby promoting the transformation of rural areas from traditional models towards digitalization, intelligence, and modernization. This approach addresses fundamental challenges in rural development, such as information asymmetry and inefficient resource allocation, and plays a critical role in enhancing food security resilience. The theoretical analytical framework illustrating the impact mechanism of digital rural development on food security resilience is presented in [Figure 1](https:\u002F\u002Fwww.mdpi.com\u002F2304-8158\u002F15\u002F3\u002F426#fig_body_display_foods-15-00426-f001).\n\n**Figure 1.** Theoretical analysis framework.\n\n### 2.1. The Direct Impact of Digital Rural Development on Food Security Resilience\n\nFrom the perspective of new growth theory, technological progress constitutes the core driver of economic growth. In contrast to the “extensive growth” model driven by disordered resource inputs, the decisive force propelling sustainable economic development resides in achieving optimal resource allocation, transforming production methods, and enhancing productivity through endogenous technological progress [[35](https:\u002F\u002Fwww.mdpi.com\u002F2304-8158\u002F15\u002F3\u002F426#B35-foods-15-00426)]. Digital rural development leverages technologies such as the Internet, big data, cloud computing, and artificial intelligence to foster the deep integration of digital technologies with agricultural production practices, thereby providing comprehensive technological support for food security. By utilizing big data and information technology, agricultural resource inputs can be precisely identified and controlled, resulting in a reduction in the application of agricultural chemicals, including pesticides, plastic mulch, and fertilizers [[36](https:\u002F\u002Fwww.mdpi.com\u002F2304-8158\u002F15\u002F3\u002F426#B36-foods-15-00426)]. This approach not only optimizes grain production models and diminishes reliance on resource endowments but also enhances grain production efficiency and quality, consequently contributing to the foundation for sustainable food security. Meanwhile, grounded in transaction cost theory, digital rural development systematically reduces transaction costs throughout the entire grain supply chain. This addresses the pain points inherent in traditional grain systems, such as information asymmetry, opaque processes, and inadequate oversight, directly mitigating market friction and information gaps [[37](https:\u002F\u002Fwww.mdpi.com\u002F2304-8158\u002F15\u002F3\u002F426#B37-foods-15-00426)]. Consequently, it enhances the grain system’s operational efficiency and flexibility in risk response, bolsters the grain industry chain’s capacity to buffer against market fluctuations, and consolidates its overall resilience in risk management [[38](https:\u002F\u002Fwww.mdpi.com\u002F2304-8158\u002F15\u002F3\u002F426#B38-foods-15-00426)]. Based on the foregoing analysis, the first research hypothesis is proposed.\n\n**Hypothesis****1.**\n\nDigital rural development is conducive to ensuring food security resilience.\n\n### 2.2. The Indirect Impact of Digital Rural Development on Food Security Resilience\n\n(1)\nThe mediating effect of scale operations in grain production and agricultural technological progress:\n\nLarge-scale grain operations represent a pivotal pathway for modern agricultural development, signifying the transformation and upgrading of traditional smallholder farming models towards modernized and intensive practices. Grounded in the theory of economies of scale, replacing fragmented farming with centralized and standardized management can effectively address the inherent issues of low production efficiency and high production costs in traditional smallholder agriculture. Digital rural development vigorously propels the advancement of large-scale grain operations by enhancing agricultural productivity, establishing integrated agricultural industrial systems, and adv","Foods (MDPI)","2026-02-18T01:00:00Z","论文",81,{"impact":196,"substance":102,"depth":31,"authority":32,"freshness":358,"relevant":34,"comment":359},2,"基于中国县域面板数据与准自然实验，实证数字乡村试点对粮食安全韧性的影响，机制清晰，政策启示明确，但发表于半年前，时效性较低。",[361],{"name":353,"url":350},[363,364,365,366],"数字乡村","双重差分","粮食安全韧性","粮食主产县",{"code":226,"slug":368,"name":369,"path":370,"parent_code":280},"yield-food-security","单产提升与粮食安全","\u002Ftopic\u002Ffield-crops\u002Fyield-food-security",[],{"status":57,"locked":58,"version":59,"method":60,"evidence":373},{"candidates":374,"agricultural_evidence":26},[375,380,385],{"code":226,"score":69,"supported":26,"title":376,"abstract":378,"tags":379},[377],"food security",[229],[],{"code":219,"score":33,"supported":26,"title":381,"abstract":383,"tags":384},[382],"smart agriculture",[],[],{"code":386,"score":220,"supported":26,"title":387,"abstract":388,"tags":389},"I6",[],[363],[363],[391,392],"粮食安全韧性 粮食主产县 双重差分 数字乡村","粮食安全韧性 粮食主产县","粮食安全韧性粮食主产县双重差分数字乡村-1120","2026-08-30T00:11:11.526983Z",{"id":396,"title":397,"url":398,"summary":399,"summary_zh":20,"content":400,"source_name":401,"source_url":20,"published_at":402,"category":147,"cover_url":20,"hotness":25,"is_selected":58,"score":356,"score_detail":403,"sources":405,"tags":407,"primary_topic":411,"secondary_topics":415,"classification":417,"search_phrases":441,"slug":444,"view_count":81,"doi":20,"paper":20,"created_at":445},1071,"农业农村部公告第1050号:第五届国家农作物品种审定委员会第九次主任委员会会议审定通过扬麦59等157个小麦品种","https:\u002F\u002Fwww.agri.cn\u002Fzx\u002Fhxgg\u002F","依据《中华人民共和国种子法》《主要农作物品种审定办法》,农业农村部决定对扬麦59等157个小麦品种、长田优2124等28个水稻品种、高歌856等21个玉米品种、中棉所97等3个棉花品种予以审定;对水稻品种惠两优1818、豫教6号等24个小麦品种、新玉52号等15个玉米品种撤销审定,业经第五届国家农作物品种审定委员会第九次主任委员会会议审议通过。自公告发布之日起,撤销审定品种停止生产。","[![Image 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\"关闭辅助工具Shift+Q\")退出\n\n请按F11切换全屏模式\n\n提示：该链接属站外链接，将无法使用辅助浏览工具！\n\n是否继续访问？\n\n请注意，该操作链接到其他网站\n\n该网站无法启动无障碍工具条！\n\n当前访问页面超出辅助工具操作范围\n\n无障碍辅助工具无法正常工作！","农业农村部公告(中国农业农村信息网转载)","2026-08-24T01:00:00Z",{"impact":196,"substance":197,"depth":103,"authority":103,"freshness":123,"relevant":34,"comment":404},"国家级品种审定公告，涉及多个作物品种的审定与撤销，对种业发展有重要影响，信息权威且具体。",[406],{"name":401,"url":398},[271,408,340,409,155,410],"小麦","玉米","品种审定",{"code":412,"slug":413,"name":408,"path":414,"parent_code":280},"A2","wheat","\u002Ftopic\u002Ffield-crops\u002Fwheat",[416],{"code":80,"slug":160,"name":161,"path":162,"parent_code":55},{"status":57,"locked":58,"version":59,"method":60,"evidence":418},{"candidates":419,"agricultural_evidence":26},[420,424,428,432,437],{"code":80,"score":320,"supported":26,"title":421,"abstract":422,"tags":423},[410],[410],[410,155],{"code":412,"score":64,"supported":26,"title":425,"abstract":426,"tags":427},[408],[408],[408],{"code":277,"score":220,"supported":26,"title":429,"abstract":430,"tags":431},[],[271],[271],{"code":433,"score":220,"supported":26,"title":434,"abstract":435,"tags":436},"A3",[],[409],[409],{"code":337,"score":220,"supported":26,"title":438,"abstract":439,"tags":440},[],[340],[340],[442,443],"种业知识产权 品种审定 小麦 棉花","种业知识产权 品种审定","种业知识产权品种审定小麦棉花-1071","2026-08-30T00:11:07.578499Z",{"id":447,"title":448,"url":449,"summary":450,"summary_zh":20,"content":451,"source_name":452,"source_url":20,"published_at":453,"category":355,"cover_url":20,"hotness":25,"is_selected":58,"score":454,"score_detail":455,"sources":457,"tags":459,"primary_topic":464,"secondary_topics":469,"classification":470,"search_phrases":487,"slug":490,"view_count":358,"doi":20,"paper":20,"created_at":491},1124,"基于形态指纹特征的耕地遥感监测轻量化大模型构建 (中国农业科学 2026, 59(1):78-89)","https:\u002F\u002Fopaj.napstic.cn\u002FperiodicalArticle\u002F0120260200326253","唐华俊、李会宾、苏宝峰、范蓓蕾、胡琼、叶剑秋、张帅、吴文斌、余强毅、史云、段玉林、李文娟、钱建平、宋茜、夏浪发表论文。本研究构建基于形态指纹特征的耕地遥感监测轻量化大模型,通过强化注意力机制以聚焦和捕获耕地形态的重要特征,并基于这些特征构建轻量化多模态模型,服务于耕地遥感监测应用场景。","唐华俊 1 李会宾 1 苏宝峰 2 范蓓蕾 3 胡琼 4 叶剑秋 5 张帅 6 吴文斌 1 余强毅 1 史云 1 段玉林 1 李文娟 1 钱建平 1 宋茜 1 夏浪 1\n\n**作者信息**\n\n*   _1._ 中国农业科学院农业资源与农业区划研究所\u002F北方干旱半干旱耕地高效利用全国重点实验室\u002F农业农村部农业遥感重点实验室,北京 100081\n*   _2._ 西北农林科技大学机械与电子工程学院,陕西 杨凌 712100\n*   _3._ 中国农业科学院农业信息研究所,北京 100081\n*   _4._ 华中师范大学城市与环境科学学院,武汉 430070\n*   _5._ 中国热带农业科学院科技信息研究所,海口 571101\n*   _6._ 农业农村部农田建设管理司,北京 100125\n*   折叠\n\n### 摘要\n\n### Abstract\n\nThe spatio-temporal dynamics of cropland and their utilization are crucial to national food security,resource security and ecological security.Currently,the approach to cropland remote sensing monitoring generally follows the\"data-(model)-information\"paradigm.However,this paradigm has a significant\"innovation-application\"gap,with numerous information products but weak knowledge service capabilities,which fail to meet practical application needs of cropland protection and utilization.Artificial intelligence(AI)technology is accelerating the transformation from active data retrieval and analysis to intelligent knowledge services and empowerment.In the new era,the technical system for cropland remote sensing monitoring needs to be restructured.This paper thus proposed an innovative idea for constructing a lightweight multimodal model for cropland remote sensing monitoring.Firstly,it analyzed the demands of different subjects and categorized the application scenarios of cropland remote sensing monitoring into four aspects(cropland area and use,infrastructure,degradation,and crop growth),clarifying the specific requirements for monitoring information and knowledge services in different scenarios.Secondly,from the perspective of human cognition,it analyzed the\"macro-level knowledge\"and\"fine-grained information\"characteristics contained in the morphological features of cropland,providing a new entry point for the construction of a multimodal model for cropland remote sensing monitoring.Finally,it combines multi-modal remote sensing data with general large language models to construct an AI agent for cropland remote sensing monitoring,featuring capabilities in perception,reasoning,learning,and execution.It strengthens the attention mechanism to focus on and capture the important features of cropland morphology,and builds a lightweight multimodal model based on these features.\n\n### 关键词\n\n_人工智能_ _\u002F_ _耕地遥感监测_ _\u002F_ _应用场景_ _\u002F_ _形态特征_ _\u002F_ _注意力机制_ _\u002F_ _轻量化大模型_\n\n### Key words\n\n_artificial intelligence_ _\u002F_ _cropland remote sensing monitoring_ _\u002F_ _application scenarios_ _\u002F_ _morphological characteristics_ _\u002F_ _attention mechanism_ _\u002F_ _lightweight multimodal model_\n\n### 引用本文 _复制引用_\n\n唐华俊,李会宾,苏宝峰,范蓓蕾,胡琼,叶剑秋,张帅,吴文斌,余强毅,史云,段玉林,李文娟,钱建平,宋茜,夏浪..基于形态指纹特征的耕地遥感监测轻量化大模型构建[J].中国农业科学,2026,59(1):78-89,12.","中国农业科学","2026-01-15T01:00:00Z",80,{"impact":102,"substance":102,"depth":197,"authority":103,"freshness":34,"relevant":34,"comment":456},"核心期刊论文，提出耕地遥感监测轻量化大模型新思路，方法新颖，但发表时间较早，时效性低。",[458],{"name":452,"url":449},[272,460,461,462,463],"耕地遥感","轻量化大模型","形态特征","注意力机制",{"code":465,"slug":466,"name":467,"path":468,"parent_code":20},"I","digital-agriculture","数字农业与前沿技术","\u002Ftopic\u002Fdigital-agriculture",[],{"status":471,"locked":58,"version":59,"method":60,"evidence":472},"partial",{"candidates":473,"agricultural_evidence":26,"reason":486},[474,480],{"code":475,"score":69,"supported":26,"title":476,"abstract":478,"tags":479},"I2",[477],"大模型",[477],[],{"code":481,"score":69,"supported":26,"title":482,"abstract":484,"tags":485},"I3",[483],"遥感",[483],[],"一级领域明确，二级方向需要细分",[488,489],"轻量化大模型 中国农科院 注意力机制 形态特征","轻量化大模型 中国农科院","轻量化大模型中国农科院注意力机制形态特征-1124","2026-08-30T00:11:11.719856Z",{"id":493,"title":494,"url":495,"summary":496,"summary_zh":20,"content":497,"source_name":498,"source_url":20,"published_at":402,"category":24,"cover_url":20,"hotness":25,"is_selected":58,"score":454,"score_detail":499,"sources":502,"tags":504,"primary_topic":509,"secondary_topics":510,"classification":511,"search_phrases":519,"slug":522,"view_count":523,"doi":20,"paper":20,"created_at":524},1102,"湖北省农业科学院\"稻品芯1号\"水稻品质功能基因育种芯片研发成功 填补优质食味稻米多性状协同改良专用芯片空白","https:\u002F\u002Fnyt.hubei.gov.cn\u002Fbmdt\u002Fyw\u002Fmtksn\u002F202608\u002Ft20260824_5999571.shtml","近日,由湖北省农业科学院游艾青研究员领衔的水稻育种团队自主研发的\"稻功芯\"系列产品线再获突破——\"稻品芯1号\"水稻品质功能基因专用育种芯片成功问世,并获国家发明专利授权。该芯片首次系统整合水稻外观品质与食味品质相关40余个关键基因位点,覆盖粒型、垩白(高温响应)、直链淀粉含量、蛋白质含量、脂肪酸含量、糊化温度及香味等核心性状,研发团队基于这些位点特异性开发了MNP分子标记及配套检测试剂盒。","从“吃饱”到“吃好”，湖北优质稻育种攻坚再传捷报。近日，由湖北省农业科学院游艾青研究员领衔的水稻育种团队自主研发的“稻功芯”系列再添新成果——“稻品芯1号”水稻品质功能基因育种芯片成功问世，并同步获得国家发明专利授权。这是该团队继2026年斩获日内瓦国际发明展金奖后，在分子设计育种工具领域取得的又一重要突破。\n\n“稻功芯”系列是由游艾青团队基于水稻功能基因组学成果，融合多重PCR与二代测序技术原理打造的精准育种工具平台。该系列首创“育种专用Gene CT”诊断新范式，可实现对核心遗传信息的“一站式”精准诊断，大幅提升了分子设计育种的规模化应用水平，推动水稻育种从传统经验选型向精准基因设计转型。\n\n此次发布的“稻品芯1号”是该系列瞄准稻米品质改良痛点打造的专用芯片。针对当前稻米品质性状复杂、改良周期长、选择精度低的产业难题，该芯片首次系统整合了水稻外观品质与食味品质相关的40余个关键基因位点，检测范围全面覆盖粒型、垩白（高温响应）、直链淀粉含量、蛋白质含量、脂肪酸含量、糊化温度及香味等决定大米口感与外观的核心性状。研发团队基于这些位点的特异性，开发了高灵敏度的MNP分子标记及配套检测试剂盒，相当于为优质稻育种装上了精准“导航”系统，育种人员在作物苗期即可完成基因筛选，大幅降低了田间表型鉴定的工作量与盲目性。\n\n在应用性能上，“稻品芯1号”延续了前代产品“多、快、准、省”的综合优势，并在成本控制上实现进一步优化。该技术有效破解了传统鉴定技术长期存在的通量低、成本高、信息碎片化的产业瓶颈，为国内科研单位和种业企业提供了高效、经济的国产化基因检测解决方案，进一步降低了分子育种技术的应用门槛。\n\n业内专家指出，“稻品芯1号”的成功研发，填补了针对优质食味稻米多性状协同改良的专用基因芯片空白，大幅提升了我国水稻分子设计育种的精准度和效率。该成果不仅为加快培育长粒优质食味水稻新品种提供了关键技术支撑，更将有力推动“江汉大米”等湖北省域优质大米品牌的打造，助力湖北从“种业大省”向“种业强省”迈进，为湖北优质稻米产业高质量发展筑牢科技“芯”根基。（吴边 农民日报全媒体记者 乐明凯）\n\n**附件:**\n\n### 扫一扫在手机上查看当前页面","湖北省农业农村厅(农民日报转载)",{"impact":30,"substance":102,"depth":500,"authority":64,"freshness":123,"relevant":34,"comment":501},16,"省级农业科研重大突破，填补专用芯片空白，信息详实，权威性高，但时效性稍逊。",[503],{"name":498,"url":495},[505,506,507,508],"湖北省农科院","稻品芯1号","游艾青","水稻育种芯片",{"code":277,"slug":278,"name":271,"path":279,"parent_code":280},[],{"status":57,"locked":58,"version":59,"method":60,"evidence":512},{"candidates":513,"agricultural_evidence":26},[514],{"code":277,"score":197,"supported":26,"title":515,"abstract":517,"tags":518},[271,516],"稻米",[271],[506],[520,521],"水稻育种芯片 湖北省农科院 稻品芯1号 游艾青","水稻育种芯片 湖北省农科院","水稻育种芯片湖北省农科院稻品芯1号游艾青-1102",0,"2026-08-30T00:11:10.079091Z",{"id":526,"title":527,"url":528,"summary":529,"summary_zh":20,"content":530,"source_name":531,"source_url":20,"published_at":532,"category":147,"cover_url":20,"hotness":25,"is_selected":58,"score":454,"score_detail":533,"sources":535,"tags":537,"primary_topic":542,"secondary_topics":547,"classification":548,"search_phrases":586,"slug":589,"view_count":358,"doi":20,"paper":20,"created_at":590},1075,"湖北省人民政府办公厅印发《湖北省加快农业科技创新专项行动工作方案(2026—2030年)》","https:\u002F\u002Ffgw.hubei.gov.cn\u002Ffbjd\u002Fxxgkml\u002Fjgzn\u002Fnsjg\u002Fmyjjfzc\u002Ftzgg\u002F202608\u002Ft20260819_5997493.shtml","湖北省人民政府办公厅印发《湖北省加快农业科技创新专项行动工作方案(2026—2030年)》,提出深入实施\"人工智能+农业\"工程,以人工智能引领农业科研范式变革。方案部署6大行动:1)突破性新品种培育;2)开发未来功能食品、替代蛋白、动植物疫苗等标志性产品;3)加快智能农机新装备研制,创制农业机器人、低空无人机、农产品产地高效保鲜干燥和精深加工智能装备;4)加速智慧农业新技术开发,突破农业专用芯片与智能传感器、空天地跨尺度监测、多模态数据融合及算法等关键技术,构建核心数据库;5)加力绿色低碳新模式集成;6)助力农产品加工提质增效。","各市、州、县人民政府，省政府各部门：\n\n《湖北省加快农业科技创新专项行动工作方案（2026—2030年）》已经省政府同意，现印发给你们，请认真贯彻落实。\n\n2026年7月24日\n\n**湖北省加快农业科技创新 专项行动工作方案（2026—2030年）**\n\n为深入贯彻习近平总书记关于科技创新的重要论述和考察湖北重要讲话精神，落实国家农业科技创新“十五五”规划要求，主动顺应现代农业发展趋势，坚持需求牵引和供给导向，大力推动科技创新与产业创新深度融合，为全省现代农业发展提供关键支撑，制定本工作方案。到2030年，全省农业科技进步贡献率突破72％、农作物耕种收综合机械化率达到84％、主要农作物良种覆盖率稳定在98％以上，农业领域新兴产业综合产值突破6000亿元。\n\n**一、实施有组织的协同攻关**\n\n1．加强农业重大新品种培育。统筹种质资源保护与创新利用，深入实施种业振兴工程和“尖刀工程”，加强农业生物杂种优势形成与固定机制、动物高效节粮减损机理等基础研究，集成应用基因编辑、干细胞育种、全基因组选择、智能设计育种等技术，高通量挖掘鉴定高产、优质、抗逆、抗病等重大基因，创制突破性新种质，推动育种技术体系向智能化、精准化升级。加快选育高产多抗优质粮油作物和经济作物新品种；挖掘特色畜禽资源，构建高效扩繁技术体系，选育高效节粮核心种源及优质高产抗逆新品种（配套系）；迭代无肌间刺鱼等种质创新技术，培育优质淡水水产新品种。\n\n2．加大生物制造新产品创制。统筹前沿技术攻关与产业化落地，深入实施合成生物重点研发和农业微生物产业发展重大专项，突破AI驱动的生物元件设计、特色底盘细胞构建、新型生物反应器创制、跨界生物合成、细胞功能编辑等关键技术，创制低成本微生物菌种生产装备。核心菌种自给率达到40％以上。开发未来功能食品、替代蛋白（肽）、动植物疫苗、生物农兽药、生物肥料、非粮生物基产品等标志性产品。\n\n3．加快智能农机新装备研制。统筹全程全面机械化与农机装备产业转型升级，深入实施装备制造业高质量发展专项、农机研发制造推广应用一体化项目，加强多场景人机协同智能操控原理研究，突破高精度卫星导航、新能源动力、精准变量作业等关键技术。研制智能播种、低损收获等大田农机和轻量化、小型丘陵山区适用农机，创制农业机器人、低空无人机、农产品产地高效保鲜干燥和精深加工智能装备等，构建涵盖粮油、果菜茶、畜禽水产等领域全程智能化装备技术体系。\n\n4．加速智慧农业新技术开发。统筹数字赋能与业态升级，深入实施“人工智能＋农业”工程，以人工智能引领农业科研范式变革。突破农业专用芯片与智能传感器、空天地跨尺度监测、多模态数据融合及算法、动植物生长与产量预测模型、智能决策调控等关键技术，构建种质资源、耕地、气候、多组学等核心数据库。研发农情采集、大数据处理、动植物生长（产）智能诊断调控、畜禽健康与兽药智能应用等系统，开发农业大模型与专用智能体。推进农田水利智慧化升级，加快建成适宜耕作、旱涝保收、高产稳产的现代化良田。加快产地仓、烘干、冷链等设施数字化改造，支持企业建设数字工厂和数智生产线，打造一批智慧农场。\n\n5．加力绿色低碳新模式集成。统筹高水平保护和高质量发展，突破绿色防控、土壤改良、种养循环、资源综合利用等关键技术，研发绿色农药、生物有机肥、生物基可降解材料等绿色投入品，创制治理农田抗生素、微塑料、重金属等污染物的技术产品，集成推广“黑水虻＋微生物”转化有机废弃物等先进技术，构建绿色低碳生产体系。开展碳汇监测、碳足迹核算与碳交易研究，探索生态产品价值实现路径。加强农产品质量安全检测技术研发，围绕农产品农兽药残留、生物毒素污染、新污染物等，攻克风险隐患快速识别与源头阻控关键技术，完善新型农食产品安全性评估技术体系，研发智能快速检测技术装备，支撑农产品质量安全监测合格率稳定在98％以上。\n\n6．助力农产品加工提质增效。统筹初加工、精深加工与副产物综合利用，开发营养健康的休闲食品、食药同源的保健食品、风味独特的调味品和定制化的预制食品。围绕粮油、果蔬、畜禽、水产、乳制品等，研发产后品质保持与贮运保鲜技术，开发智能分级、绿色加工与营养强化技术，创制高品质食材、高端食品基料与特需功能食品。推进加工副产物高值利用，开发功能脂质、蛋白（肽）、多糖等产品，加快构建覆盖产前、产中、产后的现代农业产业技术体系，引领产业升级。\n\n**二、推动科技成果高效转化**\n\n7．畅通科技成果转化渠道。支持建设一批概念验证中心，推进科技成果中试熟化、产业适配性与市场转化潜力验证。聚焦生物制造、智能农机、智慧农业等方向，建设10个中试验证平台和30个中试熟化基地。发挥国家技术转移中部中心引领作用，强化农业技术经理人队伍建设，布局建设一批农业科技型企业孵化器、农业科技成果转移服务中心、农业科技大市场，建设一批以企业为主体的产学研协同创新平台，促进成果、需求、资本精准对接。\n\n8．推动重大成果落地应用。深入实施院士专家科技服务农业产业链“515”行动、农业科技服务支点建设“五大提质行动”“乡村振兴荆楚行”和实用技术大赛等活动，遴选发布一批主推技术、主导品种、先进实用技术，组建一批“揭榜挂帅”团队，开展人才组团式科技服务。积极参与国家标准制定，加快推进转基因、基因编辑、合成生物学、微生物组学等领域科研成果产业化进程。布局建设一批乡村振兴科技创新基地、现代农业科技试验示范基地，集成推广“良田、良种、良机、良法”配套技术模式，推动更多科技成果转化为现实生产力。\n\n9．提升农技推广服务效能。积极培育农技社会化服务组织，引导种业、农资等企业和各类农机作业服务主体，通过技术托管、利润分成等方式，与农户结成利益共同体，将技术推广深度嵌入产业链，形成收益共享、持续服务的良性循环。推动供需精准对接和按效付费，探索市场化农技服务新模式。深化基层农技推广体系改革，健全以岗位绩效为核心的薪酬分配制度。支持院地、校地共建科技小院、专家大院等，引导科研院所深入一线开展农技推广。\n\n**三、大力培育农业新质生产力**\n\n10．建强科技创新平台。加快建设国家作物表型组学、农业微生物重大设施，推动洪山实验室、武汉国家现代农业产业科技创新中心联动发展，加强与全国重点实验室合作。支持高校、科研院所与企业共建技术创新中心、产业研究院和新型研发机构，推动产学研用协同创新。高标准建设“一带一路”联合实验室，推动区域合作与跨国协同等开放创新。支持襄阳创建国家农业高新技术产业示范区、宜昌建设农业微生物实验室、荆州打造洪湖水生态（水产品）实验室，加快构建以武汉为中心，以襄阳、宜昌、荆州为骨干，全域协同联动的“一芯三核多点支撑”农业科技创新格局。\n\n11．培育壮大农业科技领军企业。实施农业科技企业培育工程，力争新培育5家龙头型、50家高速成长型、500家潜力型科技企业。聚焦十大重点农业产业链，招引一批涉农世界500强和中国100强企业，推动在鄂建立区域总部、研发中心和高端生产制造基地。支持企业推进产品技术创新，将企业关键技术需求列为攻关重点。鼓励企业建立研发准备金制度，牵头组建创新联合体和新型研发机构，深度参与创新全过程。支持企业开展商业模式创新，通过并购重组、参股控股、改制上市等方式壮大实力，面向全国、全球重构供应链。鼓励企业推进经营管理模式创新，建立现代企业制度，提升可持续发展能力。\n\n12．培育优势特色产业集群。立足各地资源禀赋优化农业布局，支持将武汉都市圈建设成国家生物育种产业创新高地；支持武汉、宜昌、十堰等地打造国内领先的合成生物产业园；依托“汉孝随襄十”汽车走廊，加快建设智能农机装备产业园，形成农机装备产业带；支持江汉平原创建百万亩智慧农（牧、渔）场、鄂西山区及大别山区打造十万亩数字果（菜、茶）园。\n\n四、持续优化农业科技创新生态\n\n13．加强政策服务供给。健全面向产业征集需求的任务来源机制，完善“揭榜挂帅”“赛马”“定向委托”等项目组织实施机制。开展职务科技成果赋权改革试点，赋予研发人员所有权或10年以上长期使用权。鼓励以技术入股、分红等形式参与成果转化，转让净收入或股权按比例分配给科研团队。推行以创新能力、实效、贡献为导向的人才评价改革，实行高层次人才引进推荐认定制，支持符合条件的企业自主开展职称评审，在科技创新一线发现和培养农业战略科学家。探索“双重聘用、岗位特聘、双向兼职”用人机制，鼓励高校、科研院所选派人员依规兼任“科技副总”。提高企业人才参评“楚天英才计划”的比例，每年培训100名农业科技领军人才。\n\n14．强化要素资源保障。统筹财政支农资金和科技创新专项，加大对农业科技创新的支持力度。用好“投、补、贷、保”政策工具，发挥省农业产业发展母基金和农业创投基金作用，构建“创投＋产投”基金体系。引导金融机构推出农业科技信贷产品，用好科技型中小微企业知识价值和民营中小企业商业价值信用贷款政策。举办农业科技金融对接活动和创新创业大赛，对关键核心技术领域的科技型企业，加强上市培育和融资服务。探索“先租后让、租让结合、弹性年期出让”等灵活土地供应方式，依法保障重点项目用地需求。注重发挥农村综合改革牵引作用，稳妥推进农村要素资源市场化配置、土地适度规模经营等重点领域改革。\n\n15．营造良好创新氛围。制定科技创新容错清单，探索“沙盒监管”方式，加强知识产权保护和科技伦理、科研诚信建设，维护各类创新主体公平竞争环境。加快生物育种、生物制造、人工智能等领域科研成果登记、审定、评价，提升准入审批效率。深化农业科技管理体制机制改革，明晰涉农高校、科研院所功能定位，支持各类创新主体紧密协作、联动发展。弘扬新时代科学家精神，加大科普宣传力度，营造敢为人先、勇于创新的良好生态。\n\n健全完善工作机制，省农业农村厅、省科技厅加强统筹协调，省直相关部门按照工作职责协同推进；相关涉农高校、科研院所和领军企业，聚合资源深度参与；各市县结合实际，同步推进落实。加强跟踪监测、总结分析，激发各地开展农业科技创新的主动性与积极性。\n\n附件：重点任务清单\n\n![Image 1: 1.png](https:\u002F\u002Ffgw.hubei.gov.cn\u002Ffbjd\u002Fxxgkml\u002Fjgzn\u002Fnsjg\u002Fmyjjfzc\u002Ftzgg\u002F202608\u002FW020260819528540567231.png)\n\n![Image 2: 2.png](https:\u002F\u002Ffgw.hubei.gov.cn\u002Ffbjd\u002Fxxgkml\u002Fjgzn\u002Fnsjg\u002Fmyjjfzc\u002Ftzgg\u002F202608\u002FW020260819528541253896.png)\n\n![Image 3: 3.png](https:\u002F\u002Ffgw.hubei.gov.cn\u002Ffbjd\u002Fxxgkml\u002Fjgzn\u002Fnsjg\u002Fmyjjfzc\u002Ftzgg\u002F202608\u002FW020260819528541950024.png)\n\n![Image 4: 4.png](https:\u002F\u002Ffgw.hubei.gov.cn\u002Ffbjd\u002Fxxgkml\u002Fjgzn\u002Fnsjg\u002Fmyjjfzc\u002Ftzgg\u002F202608\u002FW020260819528542827116.png)\n\n![Image 5: 5.png](https:\u002F\u002Ffgw.hubei.gov.cn\u002Ffbjd\u002Fxxgkml\u002Fjgzn\u002Fnsjg\u002Fmyjjfzc\u002Ftzgg\u002F202608\u002FW020260819528543599171.png)\n\n![Image 6: 6.png](https:\u002F\u002Ffgw.hubei.gov.cn\u002Ffbjd\u002Fxxgkml\u002Fjgzn\u002Fnsjg\u002Fmyjjfzc\u002Ftzgg\u002F202608\u002FW020260819528544468912.png)\n\n![Image 7: 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农业科技创新 智能农机 湖北","人工智能+农业 农业科技创新","人工智能+农业农业科技创新智能农机湖北-1075","2026-08-30T00:11:07.844083Z",{"id":592,"title":593,"url":594,"summary":595,"summary_zh":20,"content":20,"source_name":596,"source_url":20,"published_at":597,"category":147,"cover_url":20,"hotness":25,"is_selected":58,"score":598,"score_detail":599,"sources":601,"tags":603,"primary_topic":20,"secondary_topics":607,"classification":608,"search_phrases":613,"slug":616,"view_count":34,"doi":20,"paper":20,"created_at":617},1080,"农业农村部办公厅关于利用全国农业农村远程教育平台开展2026年农业农村科技人员知识更新培训的通知","https:\u002F\u002Fwww.yinjiang.gov.cn\u002Fxxgk\u002Fzdxxgk\u002Ffpkf\u002Fzyzc\u002F202608\u002Ft20260817_90739434.html","农业农村部办公厅印发通知,2026年继续利用全国农业农村远程教育平台开展农业农村科技人员知识更新培训,4—12月共举办15期培训班。培训内容包括农业科技前沿动态、农业新技术新产品新装备应用等。各地农业农村部门、农业科研院所要结合培训主题,有针对性地组织参训。","印江县政府网转载(农业农村部办公厅)","2026-08-17T01:00:00Z",79,{"impact":196,"substance":197,"depth":103,"authority":103,"freshness":220,"relevant":34,"comment":600},"全国性培训通知，内容具体，但时效性较低。",[602],{"name":596,"url":594},[604,605,606],"知识更新培训","远程教育","科技人员",[],{"status":609,"locked":58,"version":59,"method":60,"evidence":610},"unclassified",{"candidates":611,"agricultural_evidence":26,"reason":612},[],"缺少足够的主题证据",[614,615],"知识更新培训 科技人员 远程教育","知识更新培训 科技人员","知识更新培训科技人员远程教育-1080","2026-08-30T00:11:08.066017Z",{"id":619,"title":620,"url":621,"summary":622,"summary_zh":20,"content":20,"source_name":623,"source_url":20,"published_at":624,"category":147,"cover_url":20,"hotness":196,"is_selected":58,"score":625,"score_detail":626,"sources":628,"tags":633,"primary_topic":20,"secondary_topics":637,"classification":638,"search_phrases":645,"slug":648,"view_count":358,"doi":20,"paper":20,"created_at":649},1076,"黑龙江省22个农作物专家育种展示基地将于9月1日至9月30日全面对外开放 创新构建\"6+12+4\"网络体系","https:\u002F\u002Fnews.qq.com\u002Frain\u002Fa\u002F20260828A0BTI700","近日,黑龙江省农业农村厅发布消息,全省22个专家育种展示基地将于9月1日至9月30日全面对外开放,诚邀各界人士走进基地、实地观摩、看禾选种。基地数量从2021年首批10个拓展至2025年的22个,目前基地年展示农作物品种突破700个(次),每年向市场和农户推荐优质农作物品种100个以上。2026年黑龙江省创新构建\"6+12+4\"农作物专家育种展示基地网络体系,以6个核心基地为示范引领、12个骨干基地为中坚支撑、4个特色基地为特色补充,本年度累计展示农作物品种1513个(次),示范推广优质农作物品种133个。","人民网哈尔滨电(腾讯网转载)","2026-08-28T08:00:00Z",78,{"impact":102,"substance":197,"depth":500,"authority":64,"freshness":33,"relevant":34,"comment":627},"省级农业政策，展示基地网络体系创新，数据详实，时效性佳，具行业参考价值。",[629,630],{"name":623,"url":621},{"name":631,"url":632},"人民网黑龙江频道","https:\u002F\u002Fhlj.people.com.cn\u002FBIG5\u002Fn2\u002F2026\u002F0828\u002Fc220005-41680797.html",[84,634,635,636],"黑龙江","育种展示基地","看禾选种",[],{"status":609,"locked":58,"version":59,"method":60,"evidence":639},{"candidates":640,"agricultural_evidence":26,"reason":612},[641],{"code":80,"score":34,"supported":58,"title":642,"abstract":643,"tags":644},[],[],[84],[646,647],"育种展示基地 看禾选种 黑龙江 种业","育种展示基地 看禾选种","育种展示基地看禾选种黑龙江种业-1076","2026-08-30T00:11:07.871276Z",{"id":651,"title":652,"url":653,"summary":654,"summary_zh":20,"content":655,"source_name":656,"source_url":20,"published_at":657,"category":355,"cover_url":20,"hotness":25,"is_selected":58,"score":658,"score_detail":659,"sources":661,"tags":663,"primary_topic":668,"secondary_topics":672,"classification":673,"search_phrases":691,"slug":694,"view_count":220,"doi":695,"paper":20,"created_at":696},1118,"Rural household livelihood resilience under digital transformation: evidence from participation pathways and U-shaped effects","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1826981\u002Ffull","Ying Yang、Zenghui Huo(中国计量大学经济管理学院)、Fuqiao Chen(中国农业科学院茶叶研究所)、Zhongming Zhang 发表论文。基于江苏省农村地区微观调查数据和县级数字基础设施指数,构建\"缓冲能力-自组织能力-学习能力-心理适应能力\"生计韧性衡量框架,采用OLS回归、U型回归模型、HLM分层线性模型和中介效应模型,实证分析数字基础设施对农户生计韧性的影响及机制。数字基础设施总体显著增强农户生计韧性,但呈现U型非线性影响;数字信息和数字金融参与是主要传导机制;高收入家庭、全职与兼业农户、非经济困难村的U型赋能效应更显著。本研究为乡村振兴与数字乡村建设融合推进提供实证证据与政策建议。","## Abstract\n\n**Introduction:**\n\nDriven by the digital rural strategy, the construction of digital infrastructure has become a critical technological foundation for advancing agricultural and rural modernization, as well as enhancing the rural household livelihood resilience.\n\n**Methods:**\n\nDrawing on micro-level survey data from rural areas in Jiangsu Province and a county-level digital infrastructure index, this study constructs a “buffering capacity–self-organisation capacity–learning capacity–psychological adaptation capacity” framework for measuring livelihood resilience. Using Ordinary Least Squares models, U-shaped regression models, Hierarchical Linear Model (HLM) and mediation effect models, it empirically analyses the impact of digital infrastructure on rural household livelihood resilience and its underlying mechanisms. The study further employs instrumental variables (IV) and double\u002Fdebiased machine learning (DDML) models to address endogeneity issues.\n\n**Results:**\n\nThe findings suggest that digital infrastructure in rural areas remarkably enhances rural household livelihood resilience overall, though the impact follows a U-shaped nonlinear pattern. Mediation analysis indicates that digital infrastructure significantly enhances farmers’ participation in digital information and digital finance, which indirectly strengthens their livelihood resilience. Heterogeneity analysis reveals that higher-income households, full-time and part-time farming households, and non-economically disadvantaged villages exhibit a significant U-shaped empowerment effect from digital infrastructure. Among them, full-time farming households are more sensitive to digital infrastructure transformation, showing a steeper U-shaped curve.\n\n**Discussion:**\n\nThis research increases the comprehension of the connection between digital rural development and livelihood resilience at a micro level, offering empirical evidence and policy recommendations for the integrated advancement of rural revitalization and digital rural construction.\n\n## 1 Introduction\n\nIn the midst of rapid global digital transformation, digital technologies have become a key driver of national development and socio-economic change. However, this process has also intensified the urban–rural divide. Due to limited access to relevant technologies, rural areas lag behind in digitalization, restricting their economic growth and integration into broader economic systems ([Xia and Kong, 2024](https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1826981\u002Ffull#ref51)). Promoting digital transformation in rural areas is therefore crucial, not only to narrow this gap, but also to achieve long-term rural revitalization goals. Globally, developed countries recognize the role of digital technologies in rural revitalization and have implemented related policies. For example, both the [European Commission (2026)](https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1826981\u002Ffull#ref16) call to further advance “Smart Villages” under the frameworks of “the Long-Term Vision for Rural Areas” and “the Strategy on Generational Renewal in Agriculture” and the fifth round of “the USDA’s ReConnect Program” ([Rupasingha et al., 2026](https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1826981\u002Ffull#ref15)), highlight the empowering effects of digital rural development by seeking to expand internet access to stimulate economic vitality in rural areas. Similarly, developing countries like China are actively advancing rural digital infrastructure. For instance, the “China-FAO Phase III South-South Cooperation Trust Fund” project supports the digital transformation of food systems in the Community of Latin American and Caribbean States (CELAC), aiming to enhance the resilience of rural household livelihoods through information technology ([Dong, 2023](https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1826981\u002Ffull#ref12)). In addition, “the Key Tasks for Digital Rural Development in 2025”, jointly issued by four departments of the Chinese government, explicitly calls for consolidating the foundations of digital rural development and implementing targeted initiatives to strengthen agriculture, benefit farmers, and increase rural incomes through digitalization ([Dong, 2023](https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1826981\u002Ffull#ref12)). A recent FAO report (2025) further emphasizes that digital tools can help bridge gaps, improve transparency, and enhance resilience. It positions digital agriculture as a key pathway for strengthening smallholders’ livelihood resilience, safeguarding food security, and responding to risk.\n\nDigital infrastructure helps bridge capital endowment gaps among income groups and overcomes resource and geographic constraints that limit opportunities for the poor ([Chen et al., 2022](https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1826981\u002Ffull#ref7)). In this context, digital infrastructure is increasingly vital for rural households to withstand risk shocks and enhance livelihood security. At the same time, however, as a new technological factor, the spread of digital infrastructure in rural areas does not occur overnight. According to the technology adoption life cycle, the diffusion of new technologies in rural areas is typically characterized by staged frictions and time lags. The development of digital technologies creates phased thresholds for rural households. Yet, constraints in human capital may hinder the effective realization of digital dividends.\n\nIn the post-pandemic era, poverty in rural China has been addressed systematically, and the nation’s development focus is gradually shifting toward managing diverse risk shocks and achieving sustainable rural development. Sustainable development implies the capacity for long-term growth, which depends not only on the resource base supporting development but also on resilience in the face of risks ([Li et al., 2022](https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1826981\u002Ffull#ref23)). Within the framework of sustainable development goals, livelihood resilience is defined as the ability to maintain and expand livelihood opportunities and well-being amid economic, social, environmental, and political instability ([Tang et al., 2023](https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1826981\u002Ffull#ref44)). Historically, rural China has been widely regarded as a “society of personal relations” and “relationship-based society,” with a long history of smallholder farming, where farmers generally exhibit characteristics of “resilient households” ([Chen, 2019](https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1826981\u002Ffull#ref6)). However, with the interplay of climate change, economic fluctuations, and social structural adjustments, systemic risks facing rural livelihood systems have intensified, posing severe challenges to overall rural livelihood resilience ([Quandt, 2018](https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1826981\u002Ffull#ref33); [Roberts et al., 2019](https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1826981\u002Ffull#ref35)). Arguably, enhancing livelihood resilience is crucial for increasing rural household incomes and stabilizing poverty alleviation outcomes, and it also directly affects the inclusiveness and resilience of the rural revitalization strategy ([Li et al., 2021](https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1826981\u002Ffull#ref24)).\n\nTo date, research on livelihood resilience has primarily focused on three areas: conceptual definition, measurement framework development, and analysis of influencing factors. The concept of resilience was introduced by the ecologist [Holling (1973)](https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1826981\u002Ffull#ref20). Later, [Adger (2000)](https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1826981\u002Ffull#ref1) extended it to social systems, examining the link between ecological and social resilience in rural communities. More recently, [Lade et al. (2017)](https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1826981\u002Ffull#ref22) introduced resilience thinking into poverty governance. Regarding measurement frameworks, no consensus has been reached. The most widely applied framework is that of [Speranza et al. (2014)](https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1826981\u002Ffull#ref40), which assesses livelihood resilience through three dimensions: buffering capacity, self-organization, and learning capacity. The [RIMA-II (2016)](https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1826981\u002Ffull#ref34) developed a multi-level evaluation system based on policy needs, encompassing livelihood assets, agricultural exchange and learning, adaptive capacity, social safety nets, and access to basic services. Additionally, [Quandt (2018)](https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1826981\u002Ffull#ref33) developed a household livelihood resilience framework by incorporating cultural capital into the Sustainable Livelihoods Approach (SLA) proposed by the UK’s Department for International Development (DFID). However, traditional research frameworks have not placed psychological resilience at the center of analysis. Only a few scholars have incorporated it into evaluation systems, emphasizing the role of psychological capital in enhancing resilience and promoting sustainable development ([Cheng and Sun, 2025](https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1826981\u002Ffull#ref8)). Empirically, researchers often use weighted composite methods. For example, entropy weighting ([Xu et al., 2025](https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1826981\u002Ffull#ref55)) and principal component analysis ([Su et al., 2022](https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1826981\u002Ffull#ref42)) are used to determine the indicator weights, while composite index methods ([Dong and Qiu, 2024](https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1826981\u002Ffull#ref13)) and the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) model ([Ma et al., 2024a](https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1826981\u002Ffull#ref31)) calculate resilience indices. In the same vein, [Cissé and Barrett (2018)](https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1826981\u002Ffull#ref10) proposed a novel econometric approach measuring livelihood resilience by the conditional probability of households achieving a specific welfare threshold. In terms of influencing factors, existing studies have mainly analyzed the effects of livelihood capital ([Ma et al., 2024b](https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1826981\u002Ffull#ref30)), livelihood strategies ([Luo et al., 2022](https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1826981\u002Ffull#ref28)), risk shocks ([Gao et al., 2024](https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1826981\u002Ffull#ref18)), agricultural management models ([Lin and Du, 2023](https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1826981\u002Ffull#ref25)), and the digital economy ([Xu et al., 2024b](https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1826981\u002Ffull#ref56)) on livelihood resilience improvement from perspectives such as sustainable policy effects, regional characteristic resilience development, and external risk shocks.\n\nAgainst this backdrop of advancing digital transformation strategies, research on how digital development drives farmers’ livelihood resilience remains limited. Existing empirical studies primarily center on the empowering effects of digital technology adoption and economic digitization. For example, [Lyu et al. (2025)](https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1826981\u002Ffull#ref29) analyzed the impact of digital adoption on livelihood resilience within a sustainable livelihoods framework across the dimensions of production, sales, and financial services, capturing the synergistic effects of comprehensive digital participation. [Shahzad et al. (2025)](https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1826981\u002Ffull#ref38) investigated the digitalization of flood resilience strategies in marginalized rural communities in Pakistan. Their study notes that one-third of surveyed households were unable to establish adequate early warning mechanisms due to limited digital communication, thereby hindering the development of livelihood resilience in the area. [Zhu et al. (2025)](https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1826981\u002Ffull#ref63) examined the mechanisms through which farmers’ participation in the digital economy improves their livelihood resilience, focusing on three channels: strengthened production capacity, stimulated entrepreneurial vitality, and enhanced effectiveness of financial asset portfolios.\n\nHowever, as one of the two foundational pillars of the “Digital China” strategy, the potential role of digital infrastructure in enhancing rural livelihood resilience has yet to be systematically researched. Most existing literature remains at the level of theoretical deduction regarding digital empowerment and risk response. Only a few scholars have used township 4G base stations as proxies for digital infrastructure to explore its U-shaped impact on household development resilience ([Zhang et al., 2025](https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1826981\u002Ffull#ref60)). There is still a lack of in-depth empirical investigation into both the linear and nonlinear relationships between comprehensive regional digital infrastructure and livelihood resilience. In particular, whether these relationships vary across different population groups requires in-depth scrutiny. Furthermore, existing research has predominantly focused on the mechanisms through which digital participation influences livelihood resilience. As a foundational prerequisite for digital transformation, digital infrastructure lacks rigorous empirical exploration regarding its specific impact on farmers’ livelihood resilience. The interrelations among digital infrastructure, digital participation behaviors, and livelihood resilience also remain insufficiently addressed. There is an urgent need to refine the relevant empirical research.\n\nConsequently, this study approaches the issue from the perspective of digital rural construction, analyzing the impact and mechanisms of digital infrastructure development on household livelihood resilience in rural China. Building on current literature, this article may offer the following marginal contributions. First, it establishes a theoretical framework defining “Digital Infrastructure – Digital Participation – Resilience Enhancement.” This study incorporates county-level digital infrastructure as a core driving factor into the analysis of livelihood resilience. It also examines the mechanisms through which digital infrastructure enhances the livelihood resilience of rural households, from the perspectives of information and financial digital participation. It enriches micro-level empirical research on how digital rural construction influences resilience. Second, it comprehensively tests both the linear and nonlinear effects of digital infrastructure. Beyond examining linear impacts, this research introduces a squared term for digital infrastructure to identify potential nonlinearities. This provides empirical support for a comprehensive understanding of the dynamic process of digital infrastructure development and for identifying its stage threshold effects. Third, it reveals the heterogeneity of the U-shaped relationship at the micro level of households and the meso level of villages. It conducts U-shaped heterogeneity tests across household income, livelihood strategy, and village economic conditions. This provides empirical evidence to reveal structural differences in the empowering effects of digital infrastructure and informs targeted policy measures. In summary, this research aims to provide empirical evidence on how digital infrastructure can effectively enhance rural household livelihood resilience, and to offer policy insights for the in-depth integration of digital rural development with rural revitalization strategies.\n\n## 2 Theoretical analysis and research hypotheses\n\n### 2.1 Digital infrastructure and rural household livelihood resilience\n\nIn recent years, technologies such as the internet, big data, and cloud computing have advanced rapidly, making digital technology and the digital economy key areas of international competition ([Fu, 2024](https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1826981\u002Ffull#ref17); [Wang et al., 2024](https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1826981\u002Ffull#ref49)). It is against this backdrop that the development of digital infrastructure has become a cornerstone for rural digital transformation. By popularizing information technology, the socio-economic structure of rural areas is undergoing profound digital restructuring. Rural digital infrastructure comprises not only network facilities, such as mobile and broadband networks, but also information service platforms, including big data centers, e-commerce, along with the digital modernization of traditional agriculture and transportation infrastructure, among others. According to the China Internet Network Information Center ([CNNIC, 2025](https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1826981\u002Ffull#ref11)), the number of rural internet users in China reached 313 million by December 2024, with continuous improvements in rural digital service systems and digital production models. This process not only provides technical support to rural areas, but also serves as a crucial driver of rural economic growth and the improvement of farmers’ well-being.\n\nLivelihood resilience extends the concept of “resilience” into the socio-economic domain. It emphasizes how farmers respond to risks and pressures through resource transformation and strategic adjustments ([Tanner et al., 2015](https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1826981\u002Ffull#ref46)). This ability helps them maintain normal livelihoods and avoid falling back into poverty ([Zheng et al., 2023](https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1826981\u002Ffull#ref62)). The capability connotation is the intrinsic foundation of livelihood resilience. It highlights the comprehensive measurement of resilience through buffering capacity, self-organization capacity, learning capacity and psychological adaptation ([Gao et al., 2024](https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1826981\u002Ffull#ref18)). Buffering capacity refers to farmers’ ability to use their livelihood capital and resour","Frontiers in Sustainable Food Systems","2026-06-09T01:00:00Z",76,{"impact":31,"substance":102,"depth":197,"authority":32,"freshness":358,"relevant":34,"comment":660},"论文基于江苏微观数据，实证分析数字基础设施对农户生计韧性的U型影响，方法严谨，结论新颖，对数字乡村建设有参考价值，但时效性较低。",[662],{"name":656,"url":653},[363,664,665,666,667],"数字基础设施","生计韧性","U型效应","江苏省",{"code":386,"slug":669,"name":670,"path":671,"parent_code":465},"digital-village","数字乡村与数据要素","\u002Ftopic\u002Fdigital-agriculture\u002Fdigital-village",[],{"status":57,"locked":58,"version":59,"method":60,"evidence":674},{"candidates":675,"agricultural_evidence":26},[676,680,686],{"code":386,"score":90,"supported":26,"title":677,"abstract":678,"tags":679},[],[363],[363,664],{"code":681,"score":81,"supported":26,"title":682,"abstract":683,"tags":685},"B3",[],[684],"茶叶",[],{"code":117,"score":81,"supported":26,"title":687,"abstract":688,"tags":690},[],[689],"乡村振兴",[],[692,693],"数字基础设施 数字乡村 生计韧性 U型效应","数字基础设施 数字乡村","数字基础设施数字乡村生计韧性U型效应-1118","10.3389\u002Ffsufs.2026.1826981\u002Ffull","2026-08-30T00:11:11.453594Z",{"id":698,"title":699,"url":700,"summary":701,"summary_zh":20,"content":20,"source_name":702,"source_url":20,"published_at":193,"category":24,"cover_url":20,"hotness":25,"is_selected":58,"score":658,"score_detail":703,"sources":705,"tags":707,"primary_topic":712,"secondary_topics":717,"classification":718,"search_phrases":725,"slug":728,"view_count":34,"doi":20,"paper":20,"created_at":729},1096,"河北省发布2026年省级农业科技成果转化项目94项 预期转化新品种43个、新技术33项、新产品18个","http:\u002F\u002Fhebnky.com\u002F","河北省发布2026年省级农业科技成果转化项目实施方案,共94个项目获立项支持,涉及94家涉农企业、高等院校和科研单位。项目预期转化新品种43个、新技术33项、新产品18个,形成可推广应用的技术规范或标准171项,建立中试生产线25条,建设标准化示范基地262个(14.14万亩),培养技术人员347名,带动企业投入2906万元,新增产值2.05亿元。","河北省农林科学院(河北省农业农村厅)",{"impact":197,"substance":102,"depth":103,"authority":64,"freshness":104,"relevant":34,"comment":704},"省级农业科技成果转化项目，数据详实，影响面广，时效性稍差。",[706],{"name":702,"url":700},[708,709,710,711],"成果转化","河北农林科学院","94项","新品种新技术",{"code":713,"slug":714,"name":715,"path":716,"parent_code":117},"G1","extension-transfer","农技推广与成果转化","\u002Ftopic\u002Frural-services\u002Fextension-transfer",[],{"status":57,"locked":58,"version":59,"method":60,"evidence":719},{"candidates":720,"agricultural_evidence":26},[721],{"code":713,"score":64,"supported":26,"title":722,"abstract":723,"tags":724},[708],[708],[708],[726,727],"河北农林科学院 新品种新技术 成果转化 94项","河北农林科学院 新品种新技术","河北农林科学院新品种新技术成果转化94项-1096","2026-08-30T00:11:09.887584Z"]