[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-4736":3,"related-4736":114},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":6,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":24,"tags":26,"primary_topic":32,"secondary_topics":38,"classification":39,"search_phrases":87,"slug":90,"view_count":91,"doi":92,"paper":93,"created_at":113},4736,"Joint determination of factors influencing adoption of climate smart agricultural practices in modern rice production in Southwest Bangladesh: a multivariate probit approach","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1942316","Climate change and environmental degradation are increasingly threatening rice production in the coastal regions of the developing world, where the goals of raising productivity and building resilience became a joint priority. Climate smart agriculture offers a portfolio of practices that serve both goals, yet knowledge on how farmers in saline rice systems combine these practices, and why adoption remains often partial, is still limited. This study jointly examines the factors associated with the adoption of five common climate smart practices (i.e., crop diversification, agroforestry, integrated soil fertility management, small scale irrigation, and integrated pest management) among modern rice farmers in southwest Bangladesh, using a multivariate probit model. The analysis draws on 493 farm households randomly selected from complete household lists in three purposively selected villages, one in each of three districts spanning the region’s salinity gradient. Results show that adoption decisions are interdependent, and most households maintain a portfolio of three or four practices. Soil improving practices complement one another, whereas small scale irrigation substitutes for diversification and soil and pest management. Education, farm size, livestock ownership, and climatic exposure are associated with specific individual practices, while access to credit, extension services, and market information are associated with adoption across the portfolio. The findings highlight the important roles of institutional access and climate-related factors in the adoption of climate smart agricultural practices, particularly advisory services, credit access, and support for investment-intensive practices.","气候变化和环境退化日益威胁发展中国家沿海地区的水稻生产，在这些地区，提高生产力和增强韧性已成为共同优先目标。气候智慧型农业提供了一系列兼顾这两项目标的实践措施，然而，关于盐渍化水稻系统中农户如何组合采用这些措施，以及为何采用往往仍不完整，目前的认识仍然有限。本研究采用多元概率单位模型，联合考察了孟加拉国西南部现代稻农采用五种常见气候智慧型措施（即作物多样化、农林业、综合土壤肥力管理、小规模灌溉和综合病虫害管理）的相关因素。分析基于493个农户，这些农户是从三个有意选定的村庄的完整住户名单中随机抽取的，三个村庄分别位于横跨该地区盐度梯度的三个行政区。结果表明，采用决策相互依存，且大多数农户维持着三种或四种措施的组合。土壤改良措施之间相互补充，而小规模灌溉则替代了多样化以及土壤和病虫害管理。教育程度、农场规模、牲畜拥有量和气候暴露程度与特定单项措施相关，而信贷获取、推广服务和市场信息则与整个措施组合的采用相关。研究结果凸显了制度性获取渠道和气候相关因素在采用气候智慧型农业措施中的重要作用，尤其是咨询服务、信贷获取以及对投资密集型措施的支持。",null,"Frontiers in Sustainable Food Systems","2026-10-11T00:00:00Z","论文",10,false,67,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},8,20,17,13,9,1,"基于493户农户的多变量概率单位实证研究，揭示气候智慧农业技术组合采纳的互补与替代关系，对盐渍化稻区推广政策有参考价值，但属区域性研究，公共影响有限。",[25],{"name":10,"url":6},[27,28,29,30,31],"气候智慧农业","孟加拉国","水稻生产","农户采纳行为","农业推广服务",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},"A1","rice","水稻","\u002Ftopic\u002Ffield-crops\u002Frice","A",[],{"status":40,"locked":14,"version":41,"method":42,"evidence":43},"classified","2026-10-22.2","rules",{"candidates":44,"agricultural_evidence":47},[45,51,59,67,74,81],{"code":33,"score":46,"supported":47,"title":48,"abstract":49,"tags":50},15,true,[34],[35,34],[29],{"code":52,"score":53,"supported":47,"title":54,"abstract":55,"tags":58},"H7",7,[],[56,57],"气候变化","climate change",[27],{"code":60,"score":61,"supported":47,"title":62,"abstract":63,"tags":66},"H2",6,[],[64,65],"土壤","soil",[],{"code":68,"score":61,"supported":47,"title":69,"abstract":70,"tags":73},"H3",[],[71,72],"灌溉","irrigation",[],{"code":75,"score":76,"supported":47,"title":77,"abstract":78,"tags":80},"C",3,[],[79],"livestock",[],{"code":82,"score":76,"supported":47,"title":83,"abstract":84,"tags":86},"I1",[],[85],"smart agriculture",[],[88,89],"孟加拉国 水稻 气候智慧农业","气候智慧农业 农户采纳 灌溉","孟加拉国水稻气候智慧农业-4736",0,"10.3389\u002Ffsufs.2026.1942316",{"doi":92,"openalex_id":94,"authors":95,"venue":10,"cited_by_count":91,"oa_url":6,"card":105,"direction":111,"ingested_from":112},"W7221451322",[96,99,102],{"name":97,"orcid":98},"Basanta Kumar Barmon","https:\u002F\u002Forcid.org\u002F0000-0002-6099-1446",{"name":100,"orcid":101},"Ehsanur Rauf Prince","https:\u002F\u002Forcid.org\u002F0000-0002-8495-1078",{"name":103,"orcid":104},"Sanzidur Rahman","https:\u002F\u002Forcid.org\u002F0000-0002-0391-6191",{"tldr":106,"method":107,"finding":108,"direction":109,"opportunity":110},"用多元概率模型分析孟加拉国西南部稻农采用五项气候智慧型农业实践的影响因素。","对493户稻农调查数据构建多元概率模型，分析五种实践联合采用决策。","采用决策相互依赖，多数农户采用三到四种实践；信贷、推广服务和市场信息促进整体采用。","数字乡村与农业信息化","可探究数字推广与市场信息平台如何促进气候智慧型农业技术组合的协同采用。","智慧农业 \u002F 农业物联网","openalex","2026-10-12T23:30:06.316818Z",{"total":61,"page":22,"page_size":61,"items":115},[116,202,292,336,386,444],{"id":117,"title":118,"url":119,"summary":120,"summary_zh":121,"content":9,"source_name":122,"source_url":119,"published_at":123,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":124,"score_detail":125,"sources":131,"tags":133,"primary_topic":138,"secondary_topics":139,"classification":146,"search_phrases":165,"slug":168,"view_count":22,"doi":169,"paper":170,"created_at":201},3974,"A real-time estimation method for wheeled agricultural machinery slip parameters in paddy fields based on the prediction-residual approach","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.compag.2026.112478","A real-time estimation method for wheeled agricultural machinery slip parameters in paddy fields based on the prediction-residual approach。Computers and Electronics in Agriculture","基于预测残差法的水稻田轮式农业机械滑转参数实时估计方法。Computers and Electronics in Agriculture","Computers and Electronics in Agriculture","2026-10-01T00:00:00Z",69,{"impact":126,"substance":127,"depth":128,"authority":129,"freshness":21,"relevant":22,"comment":130},12,18,16,14,"提出基于预测残差的水田轮式农机滑移参数实时估计方法，方法新颖且面向实际作业场景，但属细分技术论文，产业影响有限。",[132],{"name":122,"url":119},[134,135,136,29,137],"智慧农业","精准农业","农业机械","导航定位",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[140],{"code":141,"slug":142,"name":143,"path":144,"parent_code":145},"F5","machinery","农机装备与机械化","\u002Ftopic\u002Finputs-equipment\u002Fmachinery","F",{"status":40,"locked":14,"version":41,"method":42,"evidence":147},{"candidates":148,"agricultural_evidence":47},[149,155,160],{"code":33,"score":127,"supported":47,"title":150,"abstract":152,"tags":154},[151],"paddy",[35,153,151],"稻田",[29],{"code":141,"score":46,"supported":47,"title":156,"abstract":158,"tags":159},[157],"agricultural machinery",[136,157],[136],{"code":82,"score":161,"supported":14,"title":162,"abstract":163,"tags":164},2,[],[],[134,135],[166,167],"水田 农业机械 滑移率 实时估计","预测残差 滑转参数 估计","水田农业机械滑移率实时估计-3974","10.1016\u002Fj.compag.2026.112478",{"doi":169,"openalex_id":171,"authors":172,"venue":122,"cited_by_count":91,"oa_url":9,"card":196,"direction":111,"ingested_from":112},"W7215087308",[173,176,179,181,183,185,188,190,193],{"name":174,"orcid":175},"Dawen Feng","https:\u002F\u002Forcid.org\u002F0000-0002-1307-8902",{"name":177,"orcid":178},"Boyang Wang","https:\u002F\u002Forcid.org\u002F0000-0003-3613-8792",{"name":180,"orcid":9},"Jing He",{"name":182,"orcid":9},"Yuqi Chen",{"name":184,"orcid":9},"Zhongxian Man",{"name":186,"orcid":187},"Jie He","https:\u002F\u002Forcid.org\u002F0000-0003-2134-0998",{"name":189,"orcid":9},"Zhaodi Liu",{"name":191,"orcid":192},"Gaolong Chen","https:\u002F\u002Forcid.org\u002F0000-0002-7415-0867",{"name":194,"orcid":195},"Lian Hu","https:\u002F\u002Forcid.org\u002F0000-0002-4875-7868",{"tldr":197,"method":198,"finding":199,"direction":111,"opportunity":200},"提出基于预测-残差法的轮式农机水田滑移参数实时估计方法。","预测-残差法，结合农机运动学模型与实时传感数据估计滑移参数。","该方法能在水田复杂环境下实时准确估计农机滑移参数。","可探索多源传感融合与深度学习提升水田滑移估计鲁棒性，并迁移至其他松软地面农机。","2026-10-02T23:30:02.471920Z",{"id":203,"title":204,"url":205,"summary":206,"summary_zh":207,"content":9,"source_name":122,"source_url":205,"published_at":208,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":209,"score_detail":210,"sources":214,"tags":216,"primary_topic":220,"secondary_topics":221,"classification":222,"search_phrases":258,"slug":261,"view_count":91,"doi":262,"paper":263,"created_at":291},2616,"Multi-agent cooperative control for unmanned distributed-drive electric agricultural vehicle in paddy fields: tracking, stability, and energy-aware torque allocation","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.compag.2026.112422","With the rapid advancement of intelligent agriculture and autonomous field operations, the distributed drive electric plant protection vehicle (DDEPPV) is increasingly adopted for paddy-field plant protection. However, in soft-soil, low-adhesion, and highly disturbed environments, the tight coupling among path tracking, drive\u002Fyaw stability, and energy consumption-together with uncertain ground parameters-poses major challenges to conventional control. In addition, from-scratch reinforcement learning is difficult to deploy, as early exploration can induce yaw instability and wheel entrapment. To overcome these limitations, we propose a vehicle-level distributed electric-drive control framework that integrates physics-informed priors with multi-agent cooperative learning. A mud-water multiphase wheel-soil interaction model is built via CFD-DEM coupling to identify, under the parameter settings and operating conditions considered in this study, an energy- and sinkage-risk-aware slip-ratio window, thereby providing an interpretable ground-mechanics boundary for subsequent controller design. Under the centralized training and decentralized execution paradigm, the task is decomposed into three agents for path tracking, stability\u002Ftraction regulation, and energy-optimal four-wheel allocation, and trained using model predictive control (MPC) expert-supervised pretraining followed by multi-agent twin delayed deep deterministic policy gradient (MATD3) cooperative fine-tuning. Real-time Hardware-in-the-Loop (HIL) experiments verify improved turning performance and enhanced yaw\u002Ftraction stability, while reducing traction-system electrical energy consumption by 29.4% versus MPC and by an additional 5.4% over unpretrained MATD3, demonstrating unified optimization of accuracy-stability-energy efficiency in paddy fields.","随着智能农业与自主田间作业的快速发展，分布式驱动电动植保车辆（DDEPPV）在水稻田植保作业中得到日益广泛的应用。然而，在软土、低附着力和高扰动环境中，路径跟踪、驱动\u002F偏航稳定性与能耗之间的紧密耦合，加之地面参数的不确定性，给传统控制带来了重大挑战。此外，从零开始的强化学习难以部署，因为早期探索可能引发偏航失稳和车轮陷坑。为克服这些局限，我们提出了一种车辆级分布式电驱动控制框架，将物理信息先验与多智能体协同学习相融合。通过CFD-DEM耦合建立了泥水多相轮-土相互作用模型，在本研究所考虑的参数设置和作业条件下识别出兼顾能耗与下陷风险的滑转率窗口，从而为后续控制器设计提供可解释的地面力学边界。在集中训练-分散执行范式下，将任务分解为路径跟踪、稳定性\u002F牵引力调节和能耗最优四轮分配三个智能体，并采用模型预测控制（MPC）专家监督预训练，随后通过多智能体双延迟深度确定性策略梯度（MATD3）进行协同微调。实时硬件在环（HIL）实验验证了转向性能的改善以及偏航\u002F牵引稳定性的增强，同时牵引系统电能消耗较MPC降低29.4%，较未经预训练的MATD3进一步降低5.4%，展示了水稻田中精度-稳定性-能效的统一优化。","2026-09-15T00:00:00Z",82,{"impact":127,"substance":211,"depth":212,"authority":129,"freshness":21,"relevant":22,"comment":213},22,19,"提出物理先验与多智能体协同学习融合的分布式驱动电动农机控制框架，HIL实验验证能耗降低29.4%，方法新颖、数据扎实，对水田智能装备研发有实质参考价值。",[215],{"name":122,"url":205},[134,217,218,29,219],"农业人工智能","智能农机","多智能体控制",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":223},{"candidates":224,"agricultural_evidence":47},[225,229,235,241,245,249,253],{"code":33,"score":127,"supported":47,"title":226,"abstract":227,"tags":228},[151],[35,153,151],[29],{"code":230,"score":76,"supported":47,"title":231,"abstract":232,"tags":234},"A7",[],[233],"间作",[],{"code":236,"score":76,"supported":47,"title":237,"abstract":238,"tags":240},"F4",[],[239],"植保",[],{"code":60,"score":76,"supported":47,"title":242,"abstract":243,"tags":244},[],[65],[],{"code":141,"score":22,"supported":14,"title":246,"abstract":247,"tags":248},[],[],[218],{"code":82,"score":22,"supported":14,"title":250,"abstract":251,"tags":252},[],[],[134],{"code":254,"score":22,"supported":14,"title":255,"abstract":256,"tags":257},"I2",[],[],[217],[259,260],"农业人工智能 多智能体控制 智慧农业 智能农机","农业人工智能 多智能体控制","农业人工智能多智能体控制智慧农业智能农机-2616","10.1016\u002Fj.compag.2026.112422",{"doi":262,"openalex_id":264,"authors":265,"venue":122,"cited_by_count":91,"oa_url":205,"card":285,"direction":289,"ingested_from":112},"W7213225972",[266,269,271,273,276,278,280,282],{"name":267,"orcid":268},"Wenxiang Xu","https:\u002F\u002Forcid.org\u002F0000-0001-6476-4710",{"name":270,"orcid":9},"Xiaoyu Song",{"name":272,"orcid":9},"Liling Ye",{"name":274,"orcid":275},"Mengnan Liu","https:\u002F\u002Forcid.org\u002F0000-0001-5418-6347",{"name":277,"orcid":9},"He Zheng",{"name":279,"orcid":9},"Mingfeng Wang",{"name":281,"orcid":9},"Ze Liu",{"name":283,"orcid":284},"Maohua Xiao","https:\u002F\u002Forcid.org\u002F0000-0001-5213-1035",{"tldr":286,"method":287,"finding":288,"direction":289,"opportunity":290},"提出多智能体协同控制框架，实现水田分布式驱动电动农机路径跟踪、稳定性与能耗统一优化。","CFD-DEM泥水轮土模型、MPC专家预训练、MATD3多智能体协同微调、HIL","相比MPC降低牵引电耗29.4%，比未预训练MATD3再降5.4%，提升转向与横摆稳定性。","农业人工智能与决策模型","可探索将物理先验与多智能体强化学习迁移至其他软土农田作业场景，并降低对高保真仿真模型的依赖。","2026-09-16T23:30:01.996916Z",{"id":293,"title":294,"url":295,"summary":296,"summary_zh":9,"content":297,"source_name":298,"source_url":9,"published_at":299,"category":300,"cover_url":9,"hotness":13,"is_selected":14,"score":209,"score_detail":301,"sources":303,"tags":305,"primary_topic":311,"secondary_topics":312,"classification":313,"search_phrases":331,"slug":334,"view_count":91,"doi":9,"paper":9,"created_at":335},5450,"福建农科院水稻所「禾两优631」再生稻示范 两季亩产 1364.52 公斤","https:\u002F\u002Fwww.faas.cn\u002Fcms\u002Fhtml\u002Ffjsnykxy\u002F2026-10-19\u002F849994658.html","10 月 15 日，福建省农业科学院水稻所在尤溪县西城镇麻洋村举行「禾两优631」作再生稻高产栽培示范验收会，中国科学院韩斌、钱前院士等到场测产。经测产该品种再生季亩产 484.72 公斤，加上 8 月头季亩产 879.8 公斤，两季合计亩产 1364.52 公斤，是麻洋村基地连续第 26 年开展再生稻高产示范的新进展。「禾两优631」为两系杂交中稻，2025 年通过福建省中稻审定（闽审稻 20251009），抗白叶枯病、中抗稻瘟病、再生力强，2026 年福建省农业主导品种。","10月15日，我院水稻所在尤溪县西城镇麻洋村举行新品种“禾两优631”作再生稻高产栽培示范验收会。中国科学院韩斌院士、钱前院士以及南京农业大学、中国农业科学院作物科学研究所、上海市农业科学院、福建省农业农村厅、福建省农学会和三明市农业农村局的专家莅临现场测产。谢华安院士，我院党委委员、副院长魏辉研究员到会指导，院科研处处长赵健研究员主持验收会。\n\n经测产，“禾两优631”再生季亩产达484.72公斤，加上今年8月头季亩产879.8公斤，两季合计亩产1364.52公斤。水稻所又一新品种实现再生稻栽培高产，也是该基地连续第26年开展再生稻高产栽培示范取得的新进展。验收专家们表示，“禾两优631”头季与再生季表现均衡，再生季484.72公斤的产量表明该品种具有较强再生力和推广潜力，也验证了配套栽培技术在大面积示范中的稳定性。两季合计1364.52公斤，对提升稻田综合效益、稳定粮食生产、促进农民增收具有重要意义。\n\n尤溪县是全国高产再生稻发祥地。自2000年以来，我院水稻所的科研人员风雨无阻、年复一年，在同一片土地上持续开展再生稻品种试验、高产栽培和示范推广。截至目前，麻洋村百亩示范基地已示范种植15个强再生力杂交稻品种。麻洋村百亩示范基地已成为福建再生稻品种与技术的重要展示窗口。谢华安院士团队经数十年持续攻关，不仅选育出一批高产、抗逆、优质、广适的强再生力水稻新品种；还系统构建了水稻再生力评价体系，创建了以“双调双控”为核心的再生稻高效生产关键技术体系和省工节本的机械化生产技术体系，相关科研成果获得福建省科技进步一等奖2项。这既是26年厚积薄发的集中体现，也是对持之以恒开展基础研究和应用推广的最好肯定。\n\n“禾两优631”是我院水稻所主持选育的两系杂交中稻品种，2025年通过福建省中稻审定（闽审稻20251009），进入国家长江中下游中籼迟熟组区域试验（第2年）。 “禾两优631”田间表现产量高（LAX1\u002FPTB1\u002FNOG1）、抗白叶枯病（Xa23）、中抗稻瘟病（Pi1\u002FPi2\u002FPikh）、再生力强（psr1）、适应性强（OsLG3）、抗倒伏，是一个综合性状优良的杂交稻品种。“禾两优631”被评为2024年全国种子双交会水稻地展评价优良品种、2025年福建省优质稻田间展示综合表现优异十大品种、2026年福建省农业主导品种。“禾两优631”的育成和应用，将为福建省乃至长江中下游地区的粮食生产作出更大贡献。\n\n站在新的历史起点上，水稻所将继续保持“咬定青山不放松”的战略定力，以更高标准、更实举措推进再生稻科研与产业高质量发展，在融合分子育种等现代技术手段强化育种攻关、推进农机农艺融合、切实提升生产效率和深化示范推广与产业带动等方面，加快技术成果在全省乃至南方稻区的推广应用，为南方稻区再生稻产业发展提供可借鉴的样板，为保障国家粮食安全、促进农业增效和农民增收作出新的更大贡献。（文\u002F水稻所 朱永生，图\u002F水稻所 蔡秋华）","福建省农业科学院 2026-10-19","2026-10-19T00:00:00Z","报道",{"impact":211,"substance":211,"depth":128,"authority":129,"freshness":17,"relevant":22,"comment":302},"省级科研机构发布的新品种实收测产数据具体，两季亩产1364.52公斤且连续26年示范，具行业参考价值，值得进入每日精选。",[304],{"name":298,"url":295},[306,307,308,309,310],"种业振兴","粮食安全","再生稻","水稻育种","高产示范",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":314},{"candidates":315,"agricultural_evidence":47},[316,321,326],{"code":33,"score":317,"supported":47,"title":318,"abstract":319,"tags":320},24,[35,308],[35,308],[308,309],{"code":322,"score":161,"supported":14,"title":323,"abstract":324,"tags":325},"A8",[],[],[307,310],{"code":327,"score":22,"supported":14,"title":328,"abstract":329,"tags":330},"F1",[],[],[306],[332,333],"禾两优631 再生稻","福建农科院 水稻所 尤溪","禾两优631再生稻-5450","2026-10-21T00:10:02.519850Z",{"id":337,"title":338,"url":339,"summary":340,"summary_zh":9,"content":341,"source_name":342,"source_url":9,"published_at":343,"category":300,"cover_url":9,"hotness":13,"is_selected":14,"score":344,"score_detail":345,"sources":349,"tags":351,"primary_topic":356,"secondary_topics":357,"classification":358,"search_phrases":381,"slug":384,"view_count":91,"doi":9,"paper":9,"created_at":385},5449,"安徽省农科院专家在淮南潘集「绿色吨半粮」基地开展水稻良种与高效肥测产观摩","https:\u002F\u002Fwww.panji.gov.cn\u002Fpjzx\u002Fjcgz\u002F11259072035.html","10 月 14 日上午，水稻良种和高效肥展示观摩会在淮南市潘集区贺疃镇「绿色吨半粮」示范基地举行，来自中国农业大学、南京农业大学、安徽省农业科学院、安徽农业大学的专家教授以及种粮大户、基层农技人员参加。示范田内多个水稻新品种分区种植，同步设置高效肥与常规施肥对照试验田块，通过机收和人员测产直观展示良种搭配高效肥料的增产效果，为做好新一年店集贡米品种选育与宣传推广提供技术依据，推动水稻单产提升行动。","为加快优良水稻品种、高效新型肥料示范推广，推动良种良法配套落地，助力粮食稳产增产，10月14日上午，水稻良种和高效肥展示观摩会在贺疃镇“绿色吨半粮”示范基地举行。来自中国农业大学、南京农业大学、安徽省农业科学院、安徽农业大学的专家教授以及种粮大户、基层农技人员齐聚基地，现场观摩对比，开展实收测产。\n\n在示范田内，多个水稻新品种分区种植，同步设置高效肥与常规施肥对照试验田块。观摩会现场，通过查看不同品种的长势、抗倒伏、抗病性，对比施用高效肥和常规肥料水稻的株型、穗粒、结实情况，现场讲解品种特性、科学施肥、田间管护等关键技术要点，为种粮大户答疑解惑，做好新一年的店集贡米的品种选育、宣传推广。现场通过机收和人员测产，直观展示了优良品种搭配高效肥料的增产效果，用真实数据验证良种与高效肥相结合的增产提质、节肥增效优势，对推进水稻单产提升行动具有积极作用。\n\n潘集区农技推广中心主任杨中保表示：“近年来，我们立足本地农业生产实际，聚焦粮食安全底线、农业增效目标、农民增收核心，扎实推进农作物良种筛选推广、配套栽培良法落地、新型肥料示范应用等一系列重点工作，通过建示范、抓培训、强指导、树样板，良种良法配套、科学施肥增效的农业生产新模式全面落地，让农作物抗灾能力、单产水平、农产品品质稳步提升，农业生产综合效益持续提高，农业生产取得了阶段性成效。”\n\n通过现场观摩不同品种的水稻生长特性，选用适配本地气候土壤的水稻良种，配套应用高效肥料，能够提升肥料利用率，对于减少化肥投入，改善稻米品质，推动水稻绿色高产，壮大潘集水稻产业的有效路径。此次观摩测产活动，搭建起科研院所、农技部门与种植主体交流对接的平台，打通农业科技成果转化 “最后一公里”。\n\n潘集区农技推广中心主任杨中保表示：“下一步，我们农技部门要锚定农业高质量发展总目标，紧扣稳粮、提质、增效、绿色核心任务，持续深耕良种良法推广、科学施肥示范工作，推动农业生产提质增效、提档升级，为稳定粮食生产、壮大特色农业、助力乡村产业振兴提供有力支撑。”","淮南市潘集区人民政府 2026-10-16","2026-10-16T00:00:00Z",50,{"impact":126,"substance":129,"depth":346,"authority":17,"freshness":347,"relevant":22,"comment":348},11,5,"地方示范基地的良种良法观摩测产活动，有现场数据和多方信源，但属区域性农技推广动态，公共价值有限。",[350],{"name":342,"url":339},[35,352,353,354,355],"单产提升","科学施肥","良种良法","绿色吨半粮",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":359},{"candidates":360,"agricultural_evidence":47},[361,365,372,377],{"code":33,"score":126,"supported":47,"title":362,"abstract":363,"tags":364},[35],[35],[35],{"code":366,"score":53,"supported":47,"title":367,"abstract":368,"tags":371},"F3",[],[369,370],"施肥","肥料",[353],{"code":322,"score":373,"supported":47,"title":374,"abstract":375,"tags":376},4,[],[352],[352],{"code":327,"score":22,"supported":14,"title":378,"abstract":379,"tags":380},[],[],[354],[382,383],"潘集 绿色吨半粮 水稻","安徽省农科院 水稻 高效肥 测产","潘集绿色吨半粮水稻-5449","2026-10-21T00:10:02.459897Z",{"id":387,"title":388,"url":389,"summary":390,"summary_zh":9,"content":391,"source_name":392,"source_url":9,"published_at":393,"category":300,"cover_url":9,"hotness":13,"is_selected":14,"score":124,"score_detail":394,"sources":396,"tags":398,"primary_topic":403,"secondary_topics":404,"classification":405,"search_phrases":439,"slug":442,"view_count":91,"doi":9,"paper":9,"created_at":443},5447,"安徽省农科院「银月丝苗」331 亩示范片测产 亩产 605.2 公斤 增产 31.6%","https:\u002F\u002Fwww.aaas.org.cn\u002F4303179\u002F71505657.html","安徽省农业科学院农业机械装备与工程所牵头、联合水稻研究所实施的省财政农业科技成果转化项目「粮油农文旅融合集成技术转化应用」，10 月 12 日在黄山市休宁县商山镇荪田村对水稻新品种「银月丝苗」百亩示范片开展现场测产验收。示范片面积 331 亩，配套水稻机直播、机插同步侧深施肥、稻田杂草与病虫害绿色防控等技术，实收折算干谷亩产 605.2 公斤，比去年黄山市水稻平均亩产 460.0 公斤高出 145.2 公斤、增产幅度 31.6%，远超项目亩增产 50 公斤的预期目标。","发布时间：2026-10-15 14:46   来源：安徽省农业科学院机械与工程所    阅读： 次   字体：[大] [中] [小]   保护视力色：\n\n2026年10月12日，我院的安徽省财政农业科技成果转化项目“粮油农文旅融合集成技术转化应用”，在黄山市休宁县商山镇荪田村实施的水稻新品种“银月丝苗”百亩示范片进行现场测产验收。该项目由农业机械装备与工程所牵头、联合水稻研究所共同实施。\n\n专家组听取了实施情况汇报，实地考察了项目示范片并机收测产。示范片面积331亩，种植了水稻新品种“银月丝苗”，配套应用了水稻机直播、机插同步侧深施肥、稻田杂草绿色防控、优质稻病虫害绿色防控等绿色高产优质栽培技术。示范片处于黄熟期，专家组随机选取代表性田块，实收折算干谷亩产达605.2公斤。示范片单产比去年黄山市统计的水稻平均亩产460.0公斤高出145.2公斤，增产幅度达31.6%，远超项目增产50公斤的预期目标。\n\n示范片田间生长整齐平衡，熟相好，未发现明显病虫草害，充分展现了该品种高产、优质、抗倒伏能力较强的综合优势，项目区生态环境优良，稻米产量高、品质优，同时展现了稻丰田园的大地景观，为游客初秋乡村旅游和美食体验提供了良好去处。","安徽省农业科学院 2026-10-15","2026-10-15T00:00:00Z",{"impact":127,"substance":18,"depth":126,"authority":20,"freshness":61,"relevant":22,"comment":395},"省级科研机构主导的新品种示范测产，数据具体、增产显著，具备行业参考价值，但属区域性进展，时效略滞后。",[397],{"name":392,"url":389},[35,399,400,401,402],"成果转化","测产验收","绿色栽培","银月丝苗",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":406},{"candidates":407,"agricultural_evidence":47},[408,412,417,421,426,430,434],{"code":33,"score":53,"supported":47,"title":409,"abstract":410,"tags":411},[],[35,153],[35],{"code":413,"score":373,"supported":47,"title":414,"abstract":415,"tags":416},"G1",[],[399],[399],{"code":366,"score":76,"supported":47,"title":418,"abstract":419,"tags":420},[],[369],[],{"code":236,"score":76,"supported":47,"title":422,"abstract":423,"tags":425},[],[424],"绿色防控",[],{"code":141,"score":76,"supported":47,"title":427,"abstract":428,"tags":429},[],[136],[],{"code":322,"score":22,"supported":14,"title":431,"abstract":432,"tags":433},[],[],[400],{"code":435,"score":22,"supported":14,"title":436,"abstract":437,"tags":438},"H8",[],[],[401],[440,441],"安徽省农科院 银月丝苗 水稻","休宁 水稻 测产 605.2公斤","安徽省农科院银月丝苗水稻-5447","2026-10-21T00:10:02.221618Z",{"id":445,"title":446,"url":447,"summary":448,"summary_zh":9,"content":449,"source_name":450,"source_url":9,"published_at":299,"category":300,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":451,"sources":453,"tags":455,"primary_topic":459,"secondary_topics":460,"classification":461,"search_phrases":472,"slug":475,"view_count":91,"doi":9,"paper":9,"created_at":476},5445,"湖北农科院与南农大联合示范超级稻「宁香粳9号」 亩产 805.25 公斤","https:\u002F\u002Fnew.qq.com\u002Frain\u002Fa\u002F20261019A055LF00","湖北省农业科学院粮食作物研究所与南京农业大学水稻研究所联合邀请华中农业大学、湖北省种子管理局等单位专家，对团风县回龙山镇梅家墩村 112 亩「宁香粳9号」百亩示范方现场测产，稻谷折合标准产量亩产 805.25 公斤。该品种由万建民院士团队选育，曾获第三、四届全国优质稻品种食味品质鉴定粳稻金奖，2023 年被农业农村部认定为超级稻品种并入选 2023、2024 年水稻主导品种，已通过 8 个省市审定或引种备案。湖北省农科院首席科学家游艾青表示，引入粳稻可打造差异化产品。","10月9日，湖北省农业科学院粮食作物研究所和南京农业大学水稻研究所联合邀请华中农业大学、湖北省种子管理局、湖北省农业科学院植保土肥研究所、黄冈市农业科学院、黄冈市农村专业技术协会等单位的专家，来到团风县回龙山镇梅家墩村三组，对优质食味粳稻新品种“宁香粳9号”百亩示范方进行现场测产。\n\n阳光下，“宁香粳9号”长势清秀、秆青籽黄、穗大粒饱、稻穗齐整。专家组观摩了百亩示范方后，随机抽取1个田块进行测产，确定采用收割机进行收割脱粒，当场装袋称重计产。\n\n团风县邦农水稻种植农民专业合作社负责人梅新华介绍，示范方面积112亩，前茬作物为油菜。今年5月30日按照用种量7公斤\u002F亩，实施无人机飞播。示范种植期间，水稻长势均衡、结实率高，无明显病虫危害。\n\n专家组通过取样测定杂质率和水分含量，最终，“宁香粳9号”百亩示范方稻谷折合标准产量为亩产805.25公斤。\n\n“宁香粳9号”是南京农业大学万建民院士团队选育的优质、高产、早熟的优质食味粳稻新品种。该品种不仅表现出产量高、米质优、抗病强等优点，还显著改善了软米的外观，米饭香、软、弹、滑，深受市场广泛欢迎，曾获第三届、第四届全国优质稻品种食味品质鉴定（粳稻）金奖。2023年被农业农村部认定为超级稻品种，成为农业农村部2023年、2024年水稻主导品种。已通过江苏、安徽、上海、湖北、浙江、云南、贵州、河南等8个省市的审定或引种备案。\n\n2024年，“宁香粳9号”落户湖北。分别在黄冈、仙桃、公安、潜江、枝江、当阳、孝昌、宜城、随州设立9个种植示范区。当年，黄冈市在黄湖农场示范方组织专家进行实地测产，平均亩产达811.6公斤。\n\n“‘宁香粳9号’产量高、米质优、口感好，每亩平均增收约400元。”黄冈市农科院院长涂军明介绍说，今年示范方生产的稻谷，已被当地大米加工企业订购。\n\n湖北是我国重要水稻产区，以籼稻为主。全省粳稻种植面积300万亩，约占中稻种植面积的十分之一。发展优质粳稻有基础、有优势、有潜力、有需求。\n\n“‘宁香粳9号’是‘十四五’国家农作物育种联合攻关成果，在我省进行引种，是助力水稻育种创新、品种结构调整、产业提质增效、满足消费升级的重要举措。”湖北省农科院首席科学家、研究员游艾青表示，目前“江汉大米”大多以长粒籼米为主。引入粳稻品种，能够打造差异化产品，丰富品牌产品线，提升区域公用品牌的竞争力。\n\n好品种要有好的栽培方法。下一步，省粮作所、南农大学水稻研究所将联合示范方，探索机插、精量条播等种植方式，为湖北粮农种植“宁香粳9号”等粳稻品种提供更多、更好的“技术支撑”。（湖北日全媒记者汪彤 通讯员项俊平）","腾讯新闻 2026-10-19",{"impact":127,"substance":18,"depth":46,"authority":17,"freshness":61,"relevant":22,"comment":452},"省级联合示范测产，数据具体、品种背景清晰，对粳稻品种结构调整有参考价值，但属常规示范报道，时效略滞后。",[454],{"name":450,"url":447},[306,309,456,457,458],"品种推广","超级稻","粳稻",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":462},{"candidates":463,"agricultural_evidence":47},[464,468],{"code":33,"score":61,"supported":47,"title":465,"abstract":466,"tags":467},[],[35],[309,458,457],{"code":327,"score":161,"supported":14,"title":469,"abstract":470,"tags":471},[],[],[456,306],[473,474],"宁香粳9号 湖北 测产","南京农业大学 万建民 粳稻","宁香粳9号湖北测产-5445","2026-10-21T00:10:02.054496Z"]