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1](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-axegupay5k\u002F2397644cc26144379c7e432950a2deec~tplv-tt-origin-web:gif.jpeg?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1792627757&x-signature=o8pNXOWnEqlIl4mnK12LZ8rHkeA%3D)\n**水稻育种：一个“数据富矿”**\n\n杂交水稻育种是一个典型的“数据富矿、决策洼地”领域。全球积累了海量品种、性状、基因和文献数据，但长期分散、难以检索，育种更多依赖科研人员的经验与记忆。为破解这一难题，今年7月2日，中国科学院自动化研究所、北京中科闻歌科技股份有限公司与湖南省农业科学院正式签约，围绕“人工智能+农业科研”开展联合攻关。“袁稻思源”正是这一合作的阶段性成果，平台名称取自袁隆平杂交水稻创新团队，寓意“饮水思源”，感怀袁隆平院士对中国水稻杂交育种作出的突出贡献。\n\n湖南省农科院院长余应弘介绍，“袁稻思源”是湖南落实国家种业振兴行动、推进育种数字化智能化转型的关键举措，旨在传承袁隆平院士科学精神，把数据资源和智能技术转化为育种创新的现实生产力。在中科闻歌的战略版图里，这次入局农业科研，是其“决策大模型”“AI国家队”能力向产业纵深的又一次延伸。\n\n![Image 2](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-tjoges91tu\u002F328723c57ddce965a8efda71ad02f21a~tplv-tt-origin-web:gif.jpeg?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1792627757&x-signature=0csP6GpZya22ien7EebcU64%2FxRw%3D)\n**“袁稻思源”四大核心功能**\n\n“袁稻思源”平台构建四大核心功能模块，形成完整的智能育种知识和能力。\n\n数据资源库，将散落的育种数据统一“上牌”。目前平台收纳35570个水稻品种、689项性状、28648条基因数据和624757篇中英文文献。不育系按光敏、温敏、光温敏等维度精细分类，支持育种专种家像检索商品一样，快速定位目标种质。该数据资源库是“袁稻思源”平台的核心底座。\n\n基于资源库建立图谱，让品种、基因、文献等彼此“建联”。品种图谱勾画出每个品种的选育谱系和材料关系，基因图谱把基因、性状、品种与文献证据编织成一张可推理的网络。例如输入Y58S，系统可直接呈现该品种的千粒重、抗病性及相关基因。\n\n智能问答“小稻”，作为育种专家的对话式检索入口。专业科研人员只需自然语言，也可向平台提出专业问题，系统从文献和真实数据中生成答案，每条结论都标明来源，不凭空编造。在发布会现场，专家提问“第三代杂交水稻产业化有哪些障碍”，“小稻”当即从监管、生物安全、成本、知识产权等维度给出专业分析，并提示品种审定前需补充哪些数据。\n\n最后一个能力模块是育种智能体。品种审定智能体可根据品种性状，帮助科研人员预判审定通过率，杂交配组智能体可基于基因型数据预测候选组合的表现。育种家从“翻资料猜结果”变成“让AI算概率”，大幅提升工作效率。\n\n湖南省农科院副院长李莉现场演示了平台在育种资源查询、品种系谱呈现、基因关联展示等方面的能力，一套组合下来，育种专家从“盲试”变成“有据可依”。目前，平台已在第三代杂交水稻育种中开展应用示范，取得良好成效。\n\n**专家视角：这场变革会改变什么**\n\n平台发布当天，中国工程院院士、湖南省农科院党委书记柏连阳直言，“拥抱人工智能，是今天科研人员的必答题”。平台目前虽为初级版本，但已迈出AI赋能杂交水稻育种关键而可喜的一步。\n\n中国科学院院士、崖州湾国家实验室主任李家洋的判断更为前瞻：当前全球种业竞争加剧，育种正从“经验驱动”转向“数据驱动、设计育种”，“谁率先突破智能育种，谁就赢得下一轮农业产业革命的主动”。李家洋建议，平台可强化智能决策、深化协同创新、坚持服务产业，最终建设成为面向全国乃至全球的水稻智能育种公共产品。\n\n据中科闻歌方面表示，“袁稻思源”是决策智能第一次系统嵌入国家粮食安全的核心环节。从金融到政务，再到农业科研，AI行业正在把“数据决策”能力，嵌入更多关乎国计民生的领域。对育种行业而言，当AI助力科研人员更快、更准地“排雷”和“选路”，中国水稻育种的效率天花板或许才刚刚被打开。（心月）","环球网 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岳麓智慧农场","猕猴桃采摘机器人 常州艾宝","中联重科岳麓智慧农场-3288","2026-09-24T00:03:56.850138Z",{"id":346,"title":347,"url":348,"summary":349,"summary_zh":8,"content":350,"source_name":351,"source_url":8,"published_at":352,"category":12,"cover_url":8,"hotness":90,"is_selected":44,"score":353,"score_detail":354,"sources":356,"tags":358,"primary_topic":361,"secondary_topics":362,"classification":368,"search_phrases":394,"slug":397,"view_count":265,"doi":8,"paper":8,"created_at":398},2690,"第十八届中国国际种业博览会聚焦智能育种——中种集团发布水稻AI育种家1.0智能体","https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7684583875766452772\u002F","第十八届中国国际种业博览会暨第二十三届全国种子信息交流与产品交易会在合肥举行。中国工程院院士赵春江、玉米产业技术体系首席科学家李新海等表示,智能育种通过整合基因组学、人工智能和大数据提高育种精准度。中种集团发布水稻AI育种家1.0智能体,实现从经验驱动向数据驱动智能精准设计的范式转变。","## 第十八届中国国际种业博览会合肥举行 聚焦智能育种\n\n2026-09-12 17:50·[中国新闻网](https:\u002F\u002Fwww.toutiao.com\u002Fc\u002Fuser\u002Ftoken\u002FMS4wLjABAAAAvOdgu_VhRab2uUfrYPedveCA9KSEdd4AfYLyl9vkh2s\u002F?source=tuwen_detail)\n\n中新社合肥9月12日电 (记者 储玮玮)第十八届中国国际种业博览会暨第二十三届全国种子信息交流与产品交易会12日在安徽合肥举行。多位院士专家在会上表示，智能育种技术通过整合基因组学、人工智能(AI)和大数据分析等前沿科技提高育种效率和精准度。\n\n中国工程院院士赵春江表示，智能设计育种是人类对生命科学认知提升和作物驯化能力提升的标志，在蛋白设计与全基因组选择等众多领域需要AI技术支撑。\n\n赵春江认为，智能设计的品种仍然离不开大量的田间鉴定筛选。而在测试品种的环境响应与胁迫应答能力方面，同样离不开AI技术进行数据分析与表型预测。\n\n中国农业科学院科技管理局局长、国家玉米产业技术体系首席科学家李新海说，全球种业市场加速向头部企业集中，全球品种培育呈现出耐逆广适、营养优质、绿色低碳三大趋势。\n\n企业界的探索也在加速落地。当日，中国种子集团有限公司发布“水稻AI育种家1.0”智能体，将育种中关键方法模型化，通过AI算法实现从“经验驱动的田间目测筛选”向“数据驱动的智能精准设计”的范式转变。\n\n袁隆平农业高科技股份有限公司亚华水稻事业部副总经理史勇敢说，公司依托分子辅助育种与AI设计育种实现工厂化流水式高效选育。而在推广端，农户通过小程序即可获取种植信息、田间监控及预警服务，以智能服务替代部分人工现场指导，大幅提升服务效率。\n\n与会专家普遍认为，国际作物智能育种技术正朝着多学科交叉融合的方向发展。(完)","中国新闻网 2026年9月12日","2026-09-12T00:00:00Z",82,{"impact":93,"substance":151,"depth":237,"authority":20,"freshness":80,"relevant":22,"comment":355},"全国性种业博览会叠加中种集团水稻AI育种家1.0发布，院士与企业多方信源支撑，智能育种范式转变信息增量足，值得进入每日精选。",[357],{"name":351,"url":348},[31,32,33,359,360],"水稻育种","AI育种家",{"code":36,"slug":37,"name":38,"path":39,"parent_code":40},[363],{"code":55,"slug":364,"name":365,"path":366,"parent_code":367},"seed-industry","种业与品种管理","\u002Ftopic\u002Finputs-equipment\u002Fseed-industry","F",{"status":43,"locked":44,"version":45,"method":46,"evidence":369},{"candidates":370,"agricultural_evidence":14},[371,375,380,386,390],{"code":36,"score":50,"supported":14,"title":372,"abstract":373,"tags":374},[38],[38],[359],{"code":55,"score":50,"supported":14,"title":376,"abstract":378,"tags":379},[377],"种业",[377],[32],{"code":381,"score":265,"supported":14,"title":382,"abstract":383,"tags":385},"A3",[],[384],"玉米",[],{"code":60,"score":22,"supported":44,"title":387,"abstract":388,"tags":389},[],[],[33],{"code":70,"score":22,"supported":44,"title":391,"abstract":392,"tags":393},[],[],[31],[395,396],"农业人工智能 智能育种 水稻育种 种业振兴","农业人工智能 智能育种","农业人工智能智能育种水稻育种种业振兴-2690","2026-09-17T00:04:35.208458Z"]