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2026-08-25","2026-08-25T00:00:00Z",85,{"impact":208,"substance":209,"depth":16,"authority":152,"freshness":210,"relevant":20,"comment":211},25,22,7,"省级农科院油菜品种及技术入选全国典型案例，数据详实，具产业影响，但时效略过。",[213],{"name":204,"url":201},[56,215,216,217,218,219],"浙江省农科院","油菜品种","浙油杂","全国典型案例","稻油轮作",{"code":30,"slug":31,"name":32,"path":33,"parent_code":34},[222],{"code":37,"slug":38,"name":39,"path":40,"parent_code":34},{"status":42,"locked":13,"version":43,"method":44,"evidence":224},{"candidates":225,"agricultural_evidence":49},[226,230,234,239,245],{"code":30,"score":111,"supported":49,"title":227,"abstract":228,"tags":229},[117],[117],[216],{"code":37,"score":173,"supported":49,"title":231,"abstract":232,"tags":233},[56],[],[56],{"code":121,"score":61,"supported":49,"title":235,"abstract":236,"tags":238},[],[237],"轮作",[],{"code":240,"score":61,"supported":49,"title":241,"abstract":242,"tags":244},"F3",[],[243],"施肥",[],{"code":178,"score":61,"supported":49,"title":246,"abstract":247,"tags":249},[],[248],"除草",[],[251,252],"全国典型案例 浙江省农科院 单产提升 油菜品种","全国典型案例 浙江省农科院","全国典型案例浙江省农科院单产提升油菜品种-1012","2026-08-28T00:07:00.001881Z",{"id":256,"title":257,"url":258,"summary":259,"summary_zh":8,"content":260,"source_name":261,"source_url":8,"published_at":262,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":263,"score_detail":264,"sources":266,"tags":268,"primary_topic":270,"secondary_topics":271,"classification":274,"search_phrases":300,"slug":303,"view_count":72,"doi":8,"paper":8,"created_at":304},447,"四川农科院国家重点研发计划子课题组织水稻田管技术培训——油菜-水稻大面积单产提升","https:\u002F\u002Fwww.chinawestagr.com\u002FhomePage\u002Fshowcontent.asp?id=66792","2026年8月4日,为深入推进国家重点研发计划项目子课题'成都平原油菜-水稻大面积单产提升技术模式集成示范'执行工作,子课题团队在广汉市高坪镇李堰村集成示范区组织召开了'水稻大面积单产提升技术及水稻穗期、成熟期水肥药田间管理技术'专题培训会。当前正值水稻孕穗至抽穗的关键节点,叠加'七下八上'雨热同期天气,白叶枯等病害进入高发流行期,张鸿以水稻全程机械化单产提升技术为核心,围绕水稻品种、播期、密度、肥水药等技术关键进行了系统讲解,为水稻高产管理提供了清晰的路径。","λԺֲ                ʱ䣺2026\u002F8\u002F7502\n\n202684գΪƽصзƻĿӿ“ɶƽԭͲ-ˮģʽʾ”ִйӿŶڹ㺺иƺߴ弯ʾ֯ٿ“ˮˮڡˮҩ”רѵᣬԺũʦź衢ũҵũֲվվκ͹㺺йִũҵҵ԰ίԽרҳϯѵר硢ֲ󻧡ũȽ20˲λᡣ\n\nǰֵˮĹؼڵ㣬“°”ͬҶݵȲ߷ڡΧˮ߲༼Լ溦ؼκˮչר⽲⣬ص԰Ҷݲ״дطȽϸڣ“ҩԡdzˮڹࡢʱɹ”Լ˻η˵زԣԽص㽲ˮڵˮϲͬʱˮˮɺˮڱˮ㣬ཬڸʪ棬ʩ׼ط˥ͬʱǿʩҩʱҪע·˵İȫźˮȫ̻еΪģˮƷ֡ڡܶȡˮҩȼؼϵͳ⣬ԷƷΪץòڡܷʵùЭˮҩ͹ԴãΪˮ߲ṩ·󣬲λԱֳĦ˻طʸЧʩüչʾԱˮгֳ","四川省农科院 2026-08-04","2026-08-04T00:00:00Z",47,{"impact":85,"substance":111,"depth":19,"authority":12,"freshness":141,"relevant":20,"comment":265},"省级农科院组织的技术培训，内容具体但时效性差，影响范围有限。",[267],{"name":261,"url":258},[97,56,269,117],"四川省农科院",{"code":95,"slug":96,"name":97,"path":98,"parent_code":34},[272,273],{"code":30,"slug":31,"name":32,"path":33,"parent_code":34},{"code":37,"slug":38,"name":39,"path":40,"parent_code":34},{"status":42,"locked":13,"version":43,"method":44,"evidence":275},{"candidates":276,"agricultural_evidence":49},[277,281,285,289,295],{"code":95,"score":84,"supported":49,"title":278,"abstract":279,"tags":280},[97,108],[97],[97],{"code":30,"score":111,"supported":49,"title":282,"abstract":283,"tags":284},[117],[117],[117],{"code":37,"score":111,"supported":49,"title":286,"abstract":287,"tags":288},[56],[56],[56],{"code":290,"score":19,"supported":49,"title":291,"abstract":293,"tags":294},"G1",[292],"技术培训",[],[],{"code":127,"score":61,"supported":49,"title":296,"abstract":297,"tags":299},[],[298],"机械化",[],[301,302],"四川省农科院 单产提升 水稻 油菜","四川省农科院 单产提升","四川省农科院单产提升水稻油菜-447","2026-08-12T23:57:22.739004Z",{"id":306,"title":307,"url":308,"summary":309,"summary_zh":310,"content":8,"source_name":311,"source_url":308,"published_at":312,"category":313,"cover_url":8,"hotness":12,"is_selected":49,"score":314,"score_detail":315,"sources":319,"tags":321,"primary_topic":326,"secondary_topics":327,"classification":333,"search_phrases":366,"slug":369,"view_count":370,"doi":371,"paper":372,"created_at":388},5569,"A four-decadal (1981–2024) quality-assured ground-based soybean phenology dataset from Northeast China: a FAIR-compliant resource for climate impact and agricultural adaptation studies","https:\u002F\u002Fdoi.org\u002F10.1080\u002F20964471.2026.2735138","Although satellite remote sensing has been widely used to monitor land surface phenology, long-term, high-quality ground-based observations are essential for validating and calibrating these products, particularly for understanding agricultural ecosystem responses to climate change. However, such ground-truth datasets remain scarce, limiting the full potential of Earth system data applications. Here we present a comprehensive ground-based soybean phenology dataset for Northeast China, a region critical to national food security. The dataset integrates historical paper-based logs (1980s–1990s) with modern electronic records (2000s onwards) from 43 national agrometeorological stations operated by the China Meteorological Administration (CMA), spanning a 15° latitudinal gradient (38–53°N) across Heilongjiang, Jilin, and Liaoning provinces over 44 years (1981–2024). It provides the timing (day of year, DOY) of eight key phenophases (sowing, emergence, three-leaf, branching, flowering, pod formation, seed filling, maturity) and the durations of six intervening growth intervals. A multi-tiered quality assurance framework combining automated consistency checks, statistical outlier detection, and expert arbitration against agronomic principles and auxiliary climate data ensures high data integrity and completeness (>99%; paper era: 93.8%; electronic era: 98.1%). To facilitate reuse, we provide pre-computed kernel density estimates (probability distributions) and univariate linear regression trends for each station and phenological variable, along with 656 diagnostic plots. The dataset is openly available in the Science Data Bank under a CC BY 4.0 license as primary data tables (XLSX) and diagnostic plots (JPEG, 1200 dpi) (https:\u002F\u002Fdoi.org\u002F10.57760\u002Fsciencedb.37245). As a long-term, spatially explicit, FAIR-compliant ground-truth resource, this dataset is valuable for validating satellite-derived phenology products, calibrating crop modules, and investigating climate-driven impacts on agricultural systems.","尽管卫星遥感已被广泛用于监测地表物候，但长期、高质量的地面观测对于验证和校准这些产品至关重要，尤其是对于理解农业生态系统对气候变化的响应而言。然而，此类地面真值数据集仍然稀缺，限制了地球系统数据应用潜力的充分发挥。本文介绍了一套面向中国东北地区的综合性大豆物候地面数据集，该地区对国家粮食安全至关重要。该数据集整合了中国气象局（CMA）运营的43个国家农业气象站的历史纸质记录（20世纪80—90年代）与现代电子记录（2000年代至今），覆盖黑龙江、吉林和辽宁三省跨越15°纬度梯度（38—53°N）、时间跨度44年（1981—2024年）。数据集提供了8个关键物候期（播种、出苗、三叶、分枝、开花、结荚、鼓粒、成熟）的发生时间（年积日，DOY）以及6个中间生长间隔的持续时间。一套多层质量保证框架结合了自动一致性检查、统计异常值检测以及依据农学原理和辅助气候数据进行的专家仲裁，确保了高数据完整性和完整性（>99%；纸质时代：93.8%；电子时代：98.1%）。为便于重复使用，我们提供了每个站点和物候变量的预计算核密度估计（概率分布）和单变量线性回归趋势，以及656幅诊断图。该数据集以CC BY 4.0许可在Science Data Bank公开提供，包括主数据表（XLSX）和诊断图（JPEG，1200 dpi）（https:\u002F\u002Fdoi.org\u002F10.57760\u002Fsciencedb.37245）。作为一个长期、空间明确、符合FAIR原则的地面真值资源，该数据集对于验证卫星反演的物候产品、校准作物模块以及研究气候驱动对农业系统的影响具有重要价值。","Big Earth Data","2026-10-21T00:00:00Z","论文",89,{"impact":209,"substance":316,"depth":317,"authority":18,"freshness":12,"relevant":20,"comment":318},24,19,"覆盖东北44年、43站的大豆物候地面观测数据集，质控严格且FAIR开放，对遥感验证与气候影响研究有实质价值，值得入选。",[320],{"name":311,"url":308},[51,322,323,324,325],"气候变化","东北农业","物候数据","遥感验证",{"code":30,"slug":31,"name":32,"path":33,"parent_code":34},[328],{"code":60,"slug":329,"name":330,"path":331,"parent_code":332},"climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate","H",{"status":42,"locked":13,"version":43,"method":44,"evidence":334},{"candidates":335,"agricultural_evidence":49},[336,341,347,353,360],{"code":30,"score":85,"supported":49,"title":337,"abstract":339,"tags":340},[338],"soybean",[51,338],[51],{"code":60,"score":12,"supported":49,"title":342,"abstract":343,"tags":346},[],[322,344,345],"农业气象","climate change",[322],{"code":37,"score":72,"supported":49,"title":348,"abstract":349,"tags":352},[],[350,351],"粮食安全","food security",[],{"code":354,"score":72,"supported":49,"title":355,"abstract":356,"tags":359},"I3",[],[357,358],"遥感","remote sensing",[],{"code":361,"score":61,"supported":49,"title":362,"abstract":363,"tags":365},"H6",[],[364],"农业生态",[],[367,368],"东北 大豆 物候 数据集","大豆 物候 遥感 验证","东北大豆物候数据集-5569",0,"10.1080\u002F20964471.2026.2735138",{"doi":371,"openalex_id":373,"authors":374,"venue":311,"cited_by_count":370,"oa_url":308,"card":381,"direction":385,"ingested_from":387},"W7223091615",[375,378],{"name":376,"orcid":377},"Quanjun Zhang","https:\u002F\u002Forcid.org\u002F0000-0001-6087-3928",{"name":379,"orcid":380},"Dongli Wu","https:\u002F\u002Forcid.org\u002F0000-0003-1676-2264",{"tldr":382,"method":383,"finding":384,"direction":385,"opportunity":386},"发布东北大豆1981–2024年44年地面物候数据集，含8个物候期与6个间隔期。","整合43个农气站纸质与电子记录，经自动校验、统计离群检测和专家仲裁质控。","数据完整度超99%，并提供核密度分布、线性趋势与656张诊断图。","农业遥感与作物表型","可基于该地面真值校准遥感物候产品与作物模型，量化气候变化对大豆物候的影响。","openalex","2026-10-22T11:20:39.146445Z",{"id":390,"title":391,"url":392,"summary":393,"summary_zh":8,"content":394,"source_name":395,"source_url":8,"published_at":396,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":14,"score_detail":397,"sources":399,"tags":401,"primary_topic":405,"secondary_topics":406,"classification":407,"search_phrases":426,"slug":429,"view_count":370,"doi":8,"paper":8,"created_at":430},5513,"江苏农科院经作所油菜新品种宁杂1588机播示范 含油量50.3%","https:\u002F\u002Fnewiic.jaas.ac.cn\u002Fxwdt\u002Fzxdt\u002Fart\u002F2026\u002Fart_bb5747ccb14b45378bb3304124f7295d.html","亚夫科技服务项目油菜新品种高产栽培技术示范推广机播现场会在镇江世业洲召开，现场演示三种精量条播机，可将播深精准控制在1.5至2厘米，一次性完成开沟、施肥、精量播种、覆土、镇压。大面积示范品种宁杂1588于2026年8月获得登记，含油量50.3%，抗病抗倒伏且适宜机播机收。","为推进2026年度亚夫科技服务项目《油菜新品种高产栽培技术示范推广》实施，培育高水平农技人才，10月20日，亚夫科技服务项目“油菜新品种高产栽培技术示范推广”机播现场暨培训会在镇江世业洲召开。会议邀请南京农业大学和扬州大学专家作专题授课，我院成果转化处魏国平科长到会指导。镇江市农技推广站负责人、基层农技人员、种植大户、及项目团队成员参会，油菜产业专家齐聚田间，看机具演示、学栽培技术，共探油菜品种农机农艺融合，产业提质增效新路径。\n\n机播现场演示了三种油菜精量条播机。精量播种机可将油菜种子精准控制在‌1.5~2cm‌的适宜播深范围内，彻底解决传统人工撒播深浅不一、出苗不齐的痛点，保障田间油菜出苗整齐、长势均衡；并能一次性完成开沟、施肥、精量播种、覆土、镇压等多项复式作业。此次现场机播大面积示范的品种为我院最新育成的油菜品种宁杂1588，该品种2026年8月获得登记，含油量50.3%，具有抗病、抗倒伏优点，适宜机播、机收。","江苏省农业科学院经济作物研究所 2026-10-20","2026-10-20T00:00:00Z",{"impact":17,"substance":16,"depth":111,"authority":111,"freshness":19,"relevant":20,"comment":398},"省级科研机构发布的新品种机播示范，含油量50.3%等具体数据有信息增量，但属区域性技术推广活动，影响力有限。",[400],{"name":395,"url":392},[158,402,117,403,404],"农机农艺融合","精量播种","宁杂1588",{"code":30,"slug":31,"name":32,"path":33,"parent_code":34},[],{"status":42,"locked":13,"version":43,"method":44,"evidence":408},{"candidates":409,"agricultural_evidence":49},[410,414,418,422],{"code":30,"score":111,"supported":49,"title":411,"abstract":412,"tags":413},[117],[117],[117],{"code":240,"score":61,"supported":49,"title":415,"abstract":416,"tags":417},[],[243],[],{"code":184,"score":20,"supported":13,"title":419,"abstract":420,"tags":421},[],[],[158],{"code":127,"score":20,"supported":13,"title":423,"abstract":424,"tags":425},[],[],[402],[427,428],"江苏省农科院 宁杂1588 油菜","油菜精量播种 机播示范","江苏省农科院宁杂1588油菜-5513","2026-10-22T00:07:03.872776Z"]