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This study developed an integrated framework for temporal evaluation and multi-criteria selection of 526 turfgrass accessions monitored monthly from August to December 2021 during one growing season in a single experimental environment. Green cover percentage (GCP) quantified visible canopy coverage, whereas the normalized difference vegetation index (NDVI) provided complementary spectral information on canopy greenness. Four multi-month summary traits GCP area under the curve (AUC), late-season GCP, NDVI AUC, and late-season NDVI formed a common trait space examined through complementary analytical steps: K-means clustering characterized broad temporal-performance groups, Pareto screening retained non-dominated trade-offs, and an a priori equal-weight composite score ranked the resulting candidates. The three-cluster solution separated a high-performance group of 97 accessions, and the global Pareto set comprised 14 accessions. The ranking identified five promising candidates, sensitivity analysis indicated a stable core of four, whereas the fifth position depended on moderate changes in trait weights. Within the limits of a single season and environment, the results show that integrating multi-month traits, clustering, Pareto screening, composite ranking, and sensitivity analysis provides a transparent framework for prioritizing turfgrass germplasm for further evaluation.","高效选育具有持久绿色覆盖的草坪草种质，需要在多个观测时期进行评估，而非仅依据单一时间点。本研究构建了一个整合框架，用于对526份草坪草种质进行时间序列评价和多标准选择，这些种质在2021年8月至12月的一个生长季内、单一试验环境中每月监测一次。绿色覆盖百分比（GCP）量化了可见冠层覆盖度，而归一化差异植被指数（NDVI）则提供了冠层绿色度的补充光谱信息。四个多月份汇总性状——GCP曲线下面积（AUC）、后期GCP、NDVI AUC和后期NDVI——构成了一个共同性状空间，并通过互补的分析步骤加以检验：K均值聚类刻画了宽泛的时间表现分组，帕累托筛选保留了非支配权衡，先验等权综合评分对所得候选材料进行排序。三聚类方案分离出一个由97份种质组成的高表现组，全局帕累托集包含14份种质。排序确定了5份有前景的候选材料，敏感性分析表明其中4份构成稳定核心，而第5个位置取决于性状权重的适度变化。在单一生长季和环境的限制范围内，结果表明，整合多月份性状、聚类、帕累托筛选、综合排序和敏感性分析，为优先选择草坪草种质以开展进一步评价提供了一个透明的框架。","Scientific Reports","2026-10-05T00:00:00Z","论文",72,{"impact":135,"substance":136,"depth":137,"authority":138,"freshness":139,"relevant":22,"comment":140},12,21,17,14,8,"将无人机多光谱遥感与聚类、帕累托筛选结合用于草坪草种质多期评价，方法新颖、数据规模可观，对智慧育种与表型监测有参考价值。",[142],{"name":130,"url":127},[27,144,29,145,146],"无人机","遥感监测","草坪草",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[149],{"code":150,"slug":151,"name":152,"path":153,"parent_code":154},"I3","remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing","I",{"status":40,"locked":14,"version":41,"method":42,"evidence":156},{"candidates":157,"agricultural_evidence":47},[158,163,168],{"code":33,"score":135,"supported":47,"title":159,"abstract":161,"tags":162},[160],"germplasm",[160],[29],{"code":150,"score":21,"supported":47,"title":164,"abstract":166,"tags":167},[165],"multispectral",[],[145],{"code":59,"score":22,"supported":14,"title":169,"abstract":170,"tags":171},[],[],[27],[173,174],"无人机 多光谱 草坪草 种质","NDVI 草坪草 绿度","无人机多光谱草坪草种质-4354",2,"10.1038\u002Fs41598-026-74076-4",{"doi":177,"openalex_id":179,"authors":180,"venue":130,"cited_by_count":191,"oa_url":192,"card":193,"direction":197,"ingested_from":199},"W7220416490",[181,184,187,189],{"name":182,"orcid":183},"E. 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涛摄\n\n**成果捷报频传**\n\n随着种业振兴行动的深入实施，我国种源安全水平稳步提升，农作物自主选育品种面积占比95%以上，畜禽、水产、蔬菜国产种源市场占有率分别超过80%、86%和91%，做到了“中国粮”主要用“中国种”。\n\n开展育种联合攻关，是培育突破性品种、提升种业自主创新能力的重要抓手。“十四五”期间，我国通过构建金字塔式的国家育种攻关阵型，推动创新力量握指成拳、聚力攻坚，取得一批突破性标志性的成果，在多个作物领域实现了跨越式发展和突破性创新，为产业发展注入了强劲动能。\n\n“在今年全国种子双交会上，90项‘十四五’期间具有代表性的农作物育种攻关成果发布。其中，突破性品种选育类73项，育种技术创新类11项，骨干亲本创制类6项。”全国农技中心首席专家王玉玺说，这些成果涵盖了一批高产高效、绿色优质、抗病宜机、专用特用品种，一批前沿育种新技术及一批优质高产抗逆新种质，是种业振兴行动创新攻关领域取得进展的重要体现。\n\n品种好不好，大田见分晓。用田间试验检验品种的优劣，是筛选优良品种、服务农民选种的重要平台。据了解，2026年国家农作物新品种核心展示征集并组织专家确定了108个参展品种。这些品种在丰产稳产、抗病、抗逆、优质适口和耐密等方面表现较好，一定程度上代表了各个作物主产区生产品种的需求和发展方向。\n\n全国农技中心品种区试处负责人介绍，上述工作在粮食作物主产区搭建起高水平的新品种服务性展示平台，旨在通过示范种植、跟踪鉴定评价、现场观摩和展示宣传，加大对在区试审定和示范推广中综合表现优良的苗头新品种的推介力度。从目前田间表现看，所有参展品种中，有56个品种田间表现优良，其中水稻21个、小麦10个、玉米25个，后期完全成熟后还要通过考察产量、抗病、抗倒等情况进行综合评价。\n\n**技术加速突围**\n\n随着新一轮科技革命和产业变革加速突破，生物技术加人工智能已成为一种创新的新范式，为种业科技自立自强带来了新机遇。\n\n在育种工作的上游，中种集团旗下中科荃银“水稻AI育种家”投入应用，通过“专业模型+智能体+支撑平台”智能化开展表型预测与仿真、育种路线自动规划、育种材料智能选配和高效筛选等，实现了智能化、工程化的水稻商业化AI育种技术体系。在中游，数溪科技推出“慧种田”多智能体协同体系，贯通“育种—制种—推广服务”全链条，构建从基因组到田间的数据同源、决策同频的智能闭环。面向种植户，托普云农发布AI表型小程序，把图像识别算法装进手机，用户对准作物拍张照片，小程序便可一键输出叶片表型分析、茎叶夹角、种子计数等结果。\n\n中国工程院院士、国家农业信息化工程技术研究中心主任赵春江表示，多学科交叉融合已成为种业技术革新的核心趋势，大数据、人工智能等前沿技术正推动传统育种模式迭代升级，加速育种向智能化、精准化、规模化、高效化方向发展，将全面重塑种业创新发展格局。\n\n“人工智能赋能种业前景广阔，但一定不会是一蹴而就。”全国农技中心党委书记、副主任张晔坦言，当前，人工智能赋能种业还面临数据共享不够，关键工具技术攻克不足，中小企业不敢用、用不起等现实问题。\n\n张晔表示，全国农技中心作为技术推广部门，将从建好平台、完善体系、优化服务三方面发力，推进品种试验数据库和统一数据库建设，实现从“数据各自为战”到“全国一盘棋”，更好服务科研、企业及管理。推动大数据、互联网和智能装备在种子生产环节的集成应用，加快构建现代种业智能化种植生产技术体系。持续做好基层市场推广，遴选成熟度高、适应性强的智能育种技术装备，开展现场观摩与技术培训，加快推广进程。\n\n**把握发展机遇**\n\n从宏观环境来看，未来5年种业振兴依然有着良好的发展机遇。《加快农业农村现代化“十五五”规划》明确提出加快推进种业振兴，中央财政也持续加大对种业振兴行动的支持力度。同时，人民日益增长的美好生活需要也为种业创新发展提供了广阔的空间。\n\n农业农村部种业管理司有关处室负责人介绍，在做好种业振兴后半篇文章的过程中，将对种业振兴行动五大重点任务进行细化部署。\n\n种质资源保护利用方面，坚持“以用促保、保用结合”，持续开展农业种质资源调查收集，完善种质资源保护利用体系，部省联动加快种质资源精准鉴定、改良创制和共享利用，推动资源优势高效转化成创新优势和产业优势。\n\n创新攻关方面，将围绕保障国家粮食安全和重要农产品稳定安全供给，加强有组织体系化育种攻关，推动科技创新与产业创新深度融合，力争在基础研究和机制创新上取得重大突破。\n\n企业扶优方面，继续强化企业科技创新主体地位，促进各类要素高效配置，着力培育更多世界一流的种业企业，形成结构优良、竞争适度、协同发展的阵型企业集群。\n\n基地提升方面，提升基地质量，持续优化经济布局，加快完善基地设施条件，打造现代化智能基地。\n\n市场净化方面，全面加强知识产权保护，综合运用法律、经济、技术、行政手段加强种业市场监管。完善部门协同、部省联动、省际协作的监管执法机制，严厉打击假冒伪劣及套牌侵权行为，营造保护创新、促进创新的良好环境。\n\n与此同时，针对当前市场上简单模仿修饰性品种多、生产选择难的问题，农业农村部从2021年开始全面严格品种管理，特别是2025年启动实施了加强品种全链条管理专项行动，从前中后端全链条推进问题整治，严格试验监管，严把审定登记关口，推进品种实质性派生制度落地实施，开展“仿种子”清理整治，加大存在严重缺陷、不再推广品种的撤销清理力度，品种“有进有出”动态管理格局已经形成。\n\n专家表示，要持续强化生产应用导向和部省协同机制，推进加强品种全链条管理专项行动，通过加大育种攻关力度、持续严格品种管理、强化品种推广应用、完善品种管理制度，让种业更好服务提升农业产能质量效益。","中工网","2026-09-22T06:00:00Z",92,{"impact":88,"substance":266,"depth":18,"authority":138,"freshness":21,"relevant":22,"comment":317},"农业农村部种业管理司负责人系统阐述种业振兴下半篇文章，含AI育种新范式与政策部署，权威性与信息增量俱佳，值得进入每日精选。",[319],{"name":313,"url":310},[28,97,29,321,322],"育种攻关","知识产权保护",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":326},{"candidates":327,"agricultural_evidence":47},[328,332,338,342],{"code":33,"score":17,"supported":47,"title":329,"abstract":330,"tags":331},[107],[107,29],[97,29],{"code":333,"score":53,"supported":47,"title":334,"abstract":335,"tags":337},"A8",[],[336],"粮食安全",[],{"code":111,"score":22,"supported":14,"title":339,"abstract":340,"tags":341},[],[],[321],{"code":64,"score":22,"supported":14,"title":343,"abstract":344,"tags":345},[],[],[28],[347,348],"全国种子双交会 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