[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2493":3},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":8,"source_name":9,"source_url":8,"published_at":10,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":14,"score_detail":15,"sources":22,"tags":24,"view_count":30,"doi":8,"paper":31,"created_at":40},2493,"AI 赋能杂粮智慧育种:现状、前沿与展望(华南农业大学学报 2026 年第 5 期)","https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7685230000000000000\u002F","山西农业大学后稷实验室(杂粮生物育种山西省实验室)李旭凯、唐娇艳、孔照胜特约综述,系统梳理智慧育种技术体系演进历程,探讨生物大数据以及 AI 在杂粮种质资源数字化、高通量表型组学、基因型-表型关联分析及智能决策系统中的应用。总结燕麦、谷子、荞麦、藜麦等典型杂粮作物智慧育种案例,探讨杂粮育种产业化路径。我国科学家率先完成谷子的参考基因组测序,谷子基因组约 400 Mb,包含约 3.9 万个基因。在燕麦育种中,集成无人机遥感与基因组选择技术将产量预测准确率提升到 85% 以上。",null,"华南农业大学学报 2026-09-12","2026-09-11T16:00:00Z","论文",10,false,82,{"impact":16,"substance":16,"depth":17,"authority":18,"freshness":19,"relevant":20,"comment":21},22,18,14,6,1,"核心期刊特约综述，系统梳理AI赋能杂粮智慧育种的技术体系与典型案例，含谷子基因组、燕麦产量预测等实质数据，对种业数字化有参考价值。",[23],{"name":9,"url":6},[25,26,27,28,29],"农业人工智能","种业振兴","智慧育种","表型组学","杂粮作物",0,{"doi":8,"openalex_id":8,"authors":32,"venue":8,"cited_by_count":30,"oa_url":8,"card":33,"direction":37,"ingested_from":39},[],{"tldr":34,"method":35,"finding":36,"direction":37,"opportunity":38},"综述AI赋能杂粮智慧育种的技术体系、应用案例与产业化路径。","综述生物大数据、高通量表型组学、基因型-表型关联与智能决策系统。","谷子参考基因组约400Mb含3.9万基因；燕麦无人机遥感结合基因组选择产量预测超85%。","农业人工智能与决策模型","杂粮多组学数据稀缺，可构建跨作物基因型-表型预测模型并验证产业化落地。","agent","2026-09-15T00:04:27.262335Z"]