[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-903":3,"related-903":68},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":8,"published_at":11,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":23,"tags":25,"primary_topic":31,"secondary_topics":37,"classification":38,"search_phrases":62,"slug":65,"view_count":66,"doi":8,"paper":8,"created_at":67},903,"湖南省大豆产销衔接\"直通车\"活动举办 20余家企业分两批八站深入主产县","https:\u002F\u002Fwww.hunantoday.cn\u002Fnews\u002Fxhn\u002F202608\u002F33541315.html","8月17日至21日，湖南省农业农村厅指导、长沙市豆制品协会联合湖南省农业科学院和湖南省农产品加工研究会组织的\"2026年湖南省大豆产销衔接'直通车'活动\"举办。活动汇聚全省20余家豆制品加工龙头企业及行业协会代表，分北线、南线两个批次，深入八站大豆主产重点县开展田间实地对接，打通产销对接\"最后一公里\"，推动湖南高蛋白大豆全产业链高质量发展。",null,"湖南日报·新湖南客户端8月21日讯（通讯员 李学锋）8月17日至21日，由省农业农村厅指导、长沙市豆制品协会联合湖南省农业科学院和湖南省农产品加工研究会共同组织的2026年湖南省大豆产销衔接“直通车”活动举办。活动汇聚全省20余家豆制品加工龙头企业及行业协会代表，分北线、南线两个批次，深入八站大豆主产重点县开展田间实地对接，旨在打通产销对接“最后一公里”，切实提高种植效益，满足省内加工企业对高蛋白大豆原料的迫切需求，推动湖南高蛋白大豆全产业链高质量发展。\n\n近年来，湖南省认真落实国家大豆扩种战略，大豆种植面积稳步增长，但产销信息不对称、加工企业原料需求与种植主体供给匹配度不高等问题依然存在。本次“直通车”活动以“田间对接、务实高效”为原则，组织豆制品加工集聚区龙头企业、金融机构及农业专家等，与种植大户、合作社等规模种植主体面对面交流，互通产销信息，实现产业链优势互补。\n\n参与企业包括湖南德茂隆食品有限公司、湖南省鑫农康食品有限公司、长沙市利利平食品有限公司、长沙市犇强食品有限公司、湖南省石湾食品有限公司等，涵盖湖湘特色豆制品深加工多个细分领域。活动不设横幅、不搞迎送，直接深入生产基地，切实减轻基层负担。其间，各方实地观摩大豆长势和种植模式，听取专家讲解品种特性及复合种植技术；联合行业组织发布企业原料需求清单、收购标准和合作政策，推动单品单豆、单豆单仓，精准匹配产销需求；搭建一对一洽谈平台，现场协商购销价格、收储服务等具体事项；同时开展田间技术培训，推广高产样板，提升科学种植水平。\n\n本次大豆产销衔接“直通车”活动取得了实实在在的成效。通过面对面交流，加工企业与种植主体充分互通需求信息，为建立长期稳定的产销合作关系奠定了坚实基础；农业专家现场开展技术培训和指导，帮助种植主体解决生产中的实际问题，提升大豆种植科学化水平；活动集中宣传“湖南大豆”品牌，展示湖南高蛋白大豆的品质优势和产业潜力，进一步扩大了湖南大豆行业的影响力；同时促进了种业、种植、收储、加工等各环节主体的深度交流，推动形成产业链优势互补、协同发展的良好格局。\n\n长沙市豆制品协会秘书长表示，要以本次活动为契机，整合全省大豆产业资源，合力打造“湖南大豆”区域公共品牌，提升市场知名度和竞争力。协会将持续发挥桥梁作用，推动建立产销衔接常态化对接机制。长沙臭豆腐专业委员会主任提出，应尽早与省农科院深化合作，加快长沙臭豆腐专用大豆品种研发。目前华容团洲垸万亩种植基地已启动建设，但专用品种尚未明确，亟需协同推进品种选育和基地标准化，为地理标志证明商标申报和品牌建设提供支撑。协会常务副会长则表示，要发挥中间商纽带作用，推动毛粮向商品粮的标准化转换，建立统一的质量和输出体系，提升产业整体竞争力。\n\n下一步，组委会将梳理活动签订的购销意向书，联合主产县农业农村部门跟踪服务，推动意向落地；同时形成总结报告，并加快建立“大豆产销衔接常态化对接机制”，持续提供信息、技术、政策等服务，推动主产县与加工企业形成稳定合作关系，为湖南高蛋白大豆全产业链高质量发展注入持久动力。","新湖南 2026-08-21","2026-08-21T00:00:00Z","报道",10,false,65,{"impact":17,"substance":18,"depth":19,"authority":13,"freshness":20,"relevant":21,"comment":22},18,16,14,7,1,"省级大豆产销对接活动，有实质内容与多方参与，但属常规行业动态，影响有限。",[24],{"name":10,"url":6},[26,27,28,29,30],"大豆","湖南省农科院","产销对接","高蛋白","直通车",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},"A4","soybean-oilseeds","大豆与油料","\u002Ftopic\u002Ffield-crops\u002Fsoybean-oilseeds","A",[],{"status":39,"locked":14,"version":40,"method":41,"evidence":42},"classified","2026-10-22.2","rules",{"candidates":43,"agricultural_evidence":46},[44,50,57],{"code":32,"score":45,"supported":46,"title":47,"abstract":48,"tags":49},12,true,[26],[26],[26],{"code":51,"score":52,"supported":46,"title":53,"abstract":54,"tags":56},"E1",3,[],[55],"农产品加工",[],{"code":58,"score":21,"supported":14,"title":59,"abstract":60,"tags":61},"E5",[],[],[28],[63,64],"湖南省农科院 产销对接 直通车 高蛋白","湖南省农科院 产销对接","湖南省农科院产销对接直通车高蛋白-903",2,"2026-08-24T00:06:10.820199Z",{"total":69,"page":21,"page_size":69,"items":70},6,[71,159,201,250,330,395],{"id":72,"title":73,"url":74,"summary":75,"summary_zh":76,"content":8,"source_name":77,"source_url":74,"published_at":78,"category":79,"cover_url":8,"hotness":13,"is_selected":46,"score":80,"score_detail":81,"sources":86,"tags":88,"primary_topic":93,"secondary_topics":94,"classification":101,"search_phrases":136,"slug":139,"view_count":140,"doi":141,"paper":142,"created_at":158},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":82,"substance":83,"depth":84,"authority":19,"freshness":13,"relevant":21,"comment":85},22,24,19,"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。",[87],{"name":77,"url":74},[26,89,90,91,92],"气候变化","东北农业","物候数据","遥感验证",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[95],{"code":96,"slug":97,"name":98,"path":99,"parent_code":100},"H7","climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate","H",{"status":39,"locked":14,"version":40,"method":41,"evidence":102},{"candidates":103,"agricultural_evidence":46},[104,110,116,123,130],{"code":32,"score":105,"supported":46,"title":106,"abstract":108,"tags":109},15,[107],"soybean",[26,107],[26],{"code":96,"score":13,"supported":46,"title":111,"abstract":112,"tags":115},[],[89,113,114],"农业气象","climate change",[89],{"code":117,"score":69,"supported":46,"title":118,"abstract":119,"tags":122},"A8",[],[120,121],"粮食安全","food security",[],{"code":124,"score":69,"supported":46,"title":125,"abstract":126,"tags":129},"I3",[],[127,128],"遥感","remote sensing",[],{"code":131,"score":52,"supported":46,"title":132,"abstract":133,"tags":135},"H6",[],[134],"农业生态",[],[137,138],"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":141,"openalex_id":143,"authors":144,"venue":77,"cited_by_count":140,"oa_url":74,"card":151,"direction":155,"ingested_from":157},"W7223091615",[145,148],{"name":146,"orcid":147},"Quanjun Zhang","https:\u002F\u002Forcid.org\u002F0000-0001-6087-3928",{"name":149,"orcid":150},"Dongli Wu","https:\u002F\u002Forcid.org\u002F0000-0003-1676-2264",{"tldr":152,"method":153,"finding":154,"direction":155,"opportunity":156},"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":160,"title":161,"url":162,"summary":163,"summary_zh":8,"content":8,"source_name":164,"source_url":8,"published_at":165,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":166,"score_detail":167,"sources":170,"tags":172,"primary_topic":177,"secondary_topics":178,"classification":179,"search_phrases":196,"slug":199,"view_count":140,"doi":8,"paper":8,"created_at":200},5358,"太和县税镇镇皖豆 61 大豆高产示范田实收测产 亩产 313.34 公斤","https:\u002F\u002Fwww.ahnw.cn\u002Fschq\u002Fcontent\u002F2fc36d3d-4806-4599-8673-84505ed00628","2026 年 10 月 12 日,安徽省农科院专家组赴太和县税镇镇姚寨村开展现场实收测产,示范田连片面积 218 亩,前茬为小麦,选用皖豆 61 优良大豆品种。专家组现场选取 20.8 亩田块实收,折算亩产 313.34 公斤,超额实现亩产 600 斤的预定目标。集成应用密植精播、合理群体构建、精准水肥调控、一喷多促等大豆高产关键技术体系。","安徽农网 2026-10-12","2026-10-12T00:00:00Z",56,{"impact":45,"substance":17,"depth":45,"authority":13,"freshness":168,"relevant":21,"comment":169},4,"县级示范田实收测产，数据具体、技术体系清晰，但属地方性进展且已过一周，时效与影响层级有限，可作常规资讯而非每日精选。",[171],{"name":164,"url":162},[173,26,174,175,176],"安徽","测产","高产示范","皖豆61",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":180},{"candidates":181,"agricultural_evidence":46},[182,186,192],{"code":32,"score":45,"supported":46,"title":183,"abstract":184,"tags":185},[26],[26],[26],{"code":187,"score":52,"supported":46,"title":188,"abstract":189,"tags":191},"A2",[],[190],"小麦",[],{"code":117,"score":66,"supported":14,"title":193,"abstract":194,"tags":195},[],[],[174,175],[197,198],"太和县 皖豆61 测产","安徽农科院 大豆 高产示范","太和县皖豆61测产-5358","2026-10-20T02:47:45.197444Z",{"id":202,"title":203,"url":204,"summary":205,"summary_zh":8,"content":206,"source_name":207,"source_url":8,"published_at":208,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":209,"score_detail":210,"sources":214,"tags":216,"primary_topic":221,"secondary_topics":222,"classification":223,"search_phrases":245,"slug":248,"view_count":140,"doi":8,"paper":8,"created_at":249},5277,"崖州湾国家实验室+黑龙江省农科院\"崖创豆668\"在吉林梨树测产亩产416.71公斤","https:\u002F\u002Fnews.sciencenet.cn\u002Fsbhtmlnews\u002F2026\u002F10\u002F391613.shtm","崖州湾国家实验室联合国内多个科研团队,近日两款理想株型大豆新品系在山东、吉林两地实收测产丰收:山东东营盐碱地示范区\"国创豆78\"亩产404.85公斤(崖州湾实验室田志喜团队),吉林梨树试验基地\"崖创豆668\"亩产416.71公斤(崖州湾+黑龙江省农科院合作培育);为东北黑土地及同类生态区大豆高产种植提供了优质新品种。","本报讯（记者冯丽妃）近日，崖州湾国家实验室联合国内多个科研团队宣布，两款理想株型大豆新品系在山东、吉林两地实收测产丰收，亩产双双突破400公斤，为提升我国大豆产能、保障国家粮油安全提供了强有力的种源与技术支撑。\n\n此次测产中，山东东营盐碱地示范区的“国创豆78”由崖州湾国家实验室研究员田志喜团队历时8年选育，具有株型紧凑、长分枝、耐盐碱、籽粒大等特点，在盐碱叠加高温干旱的情况下，示范田刨除水分杂质后亩产达404.85公斤。专家组现场勘查后认为，该品系高产、稳产、耐盐性状突出，在同类盐碱生态区具有良好试验示范价值。\n\n与此同时，由崖州湾国家实验室大豆种子创新团队和黑龙江省农科院合作培育的高产耐密新品系“崖创豆668”在吉林梨树试验基地测产时亩产达416.71公斤，丰产潜力优异，为东北黑土地及同类生态区大豆高产种植提供了优质新品种选择。","科学网(2026-10-14)","2026-10-14T00:00:00Z",75,{"impact":82,"substance":211,"depth":19,"authority":212,"freshness":69,"relevant":21,"comment":213},20,13,"国家级实验室与省农科院联合培育的大豆新品系实收测产突破400公斤，数据具体、信源权威，对东北黑土地大豆产能提升有示范价值，值得进入每日精选。",[215],{"name":207,"url":204},[217,26,218,219,220],"种业振兴","黑土地","粮油安全","耐密品种",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":224},{"candidates":225,"agricultural_evidence":46},[226,230,236,240],{"code":32,"score":168,"supported":46,"title":227,"abstract":228,"tags":229},[],[26],[26],{"code":231,"score":52,"supported":46,"title":232,"abstract":233,"tags":235},"H2",[],[234],"盐碱地",[],{"code":117,"score":21,"supported":14,"title":237,"abstract":238,"tags":239},[],[],[219],{"code":241,"score":21,"supported":14,"title":242,"abstract":243,"tags":244},"F1",[],[],[217],[246,247],"崖创豆668 梨树 测产","崖州湾国家实验室 大豆","崖创豆668梨树测产-5277","2026-10-19T00:07:41.160572Z",{"id":251,"title":252,"url":253,"summary":254,"summary_zh":255,"content":8,"source_name":256,"source_url":253,"published_at":208,"category":79,"cover_url":8,"hotness":13,"is_selected":14,"score":257,"score_detail":258,"sources":261,"tags":263,"primary_topic":268,"secondary_topics":269,"classification":275,"search_phrases":301,"slug":304,"view_count":168,"doi":305,"paper":306,"created_at":329},4998,"Unmanned aerial vehicle time‐series phenotyping illuminates genotype‐specific responses to off‐target dicamba exposure in soybean","https:\u002F\u002Fdoi.org\u002F10.1002\u002Fppj2.70118","Abstract Dicamba, a synthetic auxin herbicide, is widely used for postemergence weed control. However, the high potential for volatility and spray drift raises concerns about damage to nontarget dicot crops lacking the dicamba monooxygenase transgene, which provides bioengineered resistance. Our objective was to evaluate the practical application of unmanned aerial vehicle (UAV)‐based multispectral imaging for quantifying off‐target dicamba injury, using non‐genetically modified (GM) soybean ( Glycine max (L.) Merr.) genotypes with known tolerant (T) and sensitive (S) responses to provide a reference framework. We conducted field experiments in 2021 and 2022 using varying dicamba rates. Temporal visual injury estimates (0–5 scale) were recorded approximately every 5 days for 6–8 weeks. Significant differences were detected between T and S lines, especially with 1\u002F500 single and weekly repeated treatments, which provided the largest separation. To augment the precision of visual injury assessment, UAV‐based multispectral imagery from each of multiple flights was used to calculate four vegetation indices (VIs): green leaf index (GLI), normalized excess green index (ExG2), normalized green red difference index (NGRDI), and red edge normalized difference vegetation index (RENDVI). These VIs captured differences between T and S lines, indicating dicamba injury can be quantified through remote sensing across contrasting soybean genotypes. Strong negative correlations were observed between visual injury scores and VI scores across treatments at each flight date, with overall correlations for GLI, ExG2, NGRDI, and RENDVI being −0.43, −0.43, −0.44, and −0.39 in 2021 and −0.54, −0.54, −0.64, and −0.57 in 2022. These results support the utility of UAV‐derived VIs for detecting and quantifying off‐target herbicide injury in soybean, facilitating scientific research efforts to develop non‐GM‐tolerant genotypes.","摘要 麦草畏（dicamba）是一种合成生长素类除草剂，广泛用于苗后杂草防除。然而，其高挥发性和喷雾飘移潜力引发了人们对非靶标双子叶作物的担忧，这些作物缺乏提供生物工程抗性的麦草畏单加氧酶（dicamba monooxygenase）转基因。本研究旨在评估基于无人机（UAV）的多光谱成像在量化非靶标麦草畏药害中的实际应用，利用对麦草畏具有已知耐受（T）和敏感（S）响应的非转基因（GM）大豆（Glycine max (L.) Merr.）基因型作为参考框架。我们于2021年和2022年开展了田间试验，使用不同的麦草畏剂量。在约6–8周内，每约5天记录一次时序视觉药害评估（0–5级）。在T和S品系之间检测到显著差异，尤其是在1\u002F500单次和每周重复处理下，差异最为明显。为提高视觉药害评估的精度，利用多次飞行获取的无人机多光谱影像计算了4种植被指数（VIs）：绿叶指数（GLI）、归一化超绿指数（ExG2）、归一化绿红差异指数（NGRDI）和红边归一化差异植被指数（RENDVI）。这些植被指数捕捉到了T和S品系之间的差异，表明麦草畏药害可通过遥感在不同大豆基因型间进行量化。在各飞行日期的所有处理中，视觉药害评分与植被指数评分之间均观察到强负相关，2021年GLI、ExG2、NGRDI和RENDVI的总体相关系数分别为−0.43、−0.43、−0.44和−0.39，2022年分别为−0.54、−0.54、−0.64和−0.57。这些结果支持无人机衍生植被指数在大豆非靶标除草剂药害检测和量化中的实用性，有助于推动开发非转基因耐受基因型的科学研究工作。","The Plant Phenome Journal",77,{"impact":18,"substance":82,"depth":17,"authority":212,"freshness":259,"relevant":21,"comment":260},8,"该研究利用无人机多光谱时序表型定量评估大豆非靶标除草剂药害，方法新颖、数据扎实，对智慧农业遥感监测具有参考价值。",[262],{"name":256,"url":253},[264,26,265,266,267],"智慧农业","无人机遥感","植被指数","除草剂药害",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[270],{"code":124,"slug":271,"name":272,"path":273,"parent_code":274},"remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing","I",{"status":39,"locked":14,"version":40,"method":41,"evidence":276},{"candidates":277,"agricultural_evidence":46},[278,282,289,296],{"code":32,"score":105,"supported":46,"title":279,"abstract":280,"tags":281},[107],[26,107],[26],{"code":124,"score":283,"supported":46,"title":284,"abstract":285,"tags":288},11,[],[127,286,128,287],"无人机多光谱","multispectral",[265,266],{"code":290,"score":69,"supported":46,"title":291,"abstract":292,"tags":295},"F4",[],[293,294],"除草","weed control",[],{"code":297,"score":21,"supported":14,"title":298,"abstract":299,"tags":300},"I1",[],[],[264],[302,303],"无人机 多光谱 大豆 药害","麦草畏 飘移 大豆 遥感","无人机多光谱大豆药害-4998","10.1002\u002Fppj2.70118",{"doi":305,"openalex_id":307,"authors":308,"venue":256,"cited_by_count":140,"oa_url":253,"card":324,"direction":155,"ingested_from":157},"W7221759072",[309,312,315,318,321],{"name":310,"orcid":311},"Seda Ozer","https:\u002F\u002Forcid.org\u002F0000-0002-1644-2394",{"name":313,"orcid":314},"Brian W. Diers","https:\u002F\u002Forcid.org\u002F0000-0003-3584-5495",{"name":316,"orcid":317},"Dean E. Riechers","https:\u002F\u002Forcid.org\u002F0000-0002-6081-5629",{"name":319,"orcid":320},"Caio Canella Vieira","https:\u002F\u002Forcid.org\u002F0000-0001-5428-3753",{"name":322,"orcid":323},"Alper Adak","https:\u002F\u002Forcid.org\u002F0000-0002-2737-8041",{"tldr":325,"method":326,"finding":327,"direction":155,"opportunity":328},"用无人机多光谱时序表型量化非转基因大豆受除草剂飘移药害的基因型差异。","2021-2022田间试验，无人机多光谱影像计算GLI、ExG2、NGRDI、R","植被指数与目测药害评分显著负相关，能区分耐性与敏感基因型，2022年相关性更强。","可拓展到多作物、多除草剂飘移的无人机早期诊断，并融合机器学习构建药害分级预警模型。","2026-10-15T23:30:20.537887Z",{"id":331,"title":332,"url":333,"summary":334,"summary_zh":8,"content":8,"source_name":335,"source_url":8,"published_at":336,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":337,"score_detail":338,"sources":340,"tags":342,"primary_topic":347,"secondary_topics":348,"classification":353,"search_phrases":390,"slug":393,"view_count":21,"doi":8,"paper":8,"created_at":394},4953,"安徽全省秋粮收获进度已超七成 玉米收获进入尾声 大豆超九成","https:\u002F\u002Fwww.aaas.org.cn\u002F4303153\u002F71484287.html","10月12日,在太和县税镇镇姚寨村,联合收割机在豆田中穿梭,种植大户李超种植的200亩大豆迎来收获,经测产亩产313.34公斤。太和县副县长、安徽省农科院研究员杜祥备介绍,近年来依托安徽省农科院、阜阳市农科院、国家及省大豆产业技术体系等平台,全面推行增密抗逆栽培、'一拌一封一喷'绿色防控、精量播种、抗灾减灾等关键技术。截至10月12日17时,全省已收秋粮4948万亩、进度76%,投入粮食烘干机11953台、烘干粮食41.5万吨。","《安徽日报》转载 安徽省农业科学院 2026 年 10 月 13 日","2026-10-13T00:00:00Z",64,{"impact":17,"substance":18,"depth":45,"authority":13,"freshness":259,"relevant":21,"comment":339},"省级秋收进度与大豆高产实测数据兼具时效与信息增量，但属常规农情通报，深度有限。",[341],{"name":335,"url":333},[343,26,344,345,346],"玉米","粮食烘干","秋粮收获","增密抗逆",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[349],{"code":350,"slug":351,"name":343,"path":352,"parent_code":36},"A3","maize","\u002Ftopic\u002Ffield-crops\u002Fmaize",{"status":39,"locked":14,"version":40,"method":41,"evidence":354},{"candidates":355,"agricultural_evidence":46},[356,360,365,370,375,381,385],{"code":32,"score":45,"supported":46,"title":357,"abstract":358,"tags":359},[26],[26],[26],{"code":350,"score":361,"supported":46,"title":362,"abstract":363,"tags":364},9,[343],[],[343],{"code":366,"score":52,"supported":46,"title":367,"abstract":368,"tags":369},"E3",[],[344],[],{"code":290,"score":52,"supported":46,"title":371,"abstract":372,"tags":374},[],[373],"绿色防控",[],{"code":376,"score":52,"supported":46,"title":377,"abstract":378,"tags":380},"F5",[],[379],"收割机",[],{"code":117,"score":21,"supported":14,"title":382,"abstract":383,"tags":384},[],[],[344],{"code":386,"score":21,"supported":14,"title":387,"abstract":388,"tags":389},"J4",[],[],[345],[391,392],"安徽 秋粮 收获进度","太和县 大豆 亩产 313.34公斤","安徽秋粮收获进度-4953","2026-10-15T00:06:03.038238Z",{"id":396,"title":397,"url":398,"summary":399,"summary_zh":8,"content":8,"source_name":400,"source_url":8,"published_at":401,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":337,"score_detail":402,"sources":405,"tags":407,"primary_topic":411,"secondary_topics":412,"classification":413,"search_phrases":430,"slug":433,"view_count":140,"doi":8,"paper":8,"created_at":434},4726,"安徽省农科院在太和举办大豆新品种观摩暨产业化培训","https:\u002F\u002Fwww.aaas.org.cn\u002Fkyjz\u002Fcontent_644111.html","近日,安徽省农科院加工所、安徽省农业技术推广总站联合主办的大豆新品种观摩暨大豆专用品种产业化技术培训交流会在太和县举行,150余名代表参会。项目组已对89个大豆品种开展加工适应性评估,初步筛选出一批适于不同加工用途的专用品种","安徽省农业科学院官网 2026-10-08","2026-10-08T00:00:00Z",{"impact":18,"substance":17,"depth":212,"authority":45,"freshness":403,"relevant":21,"comment":404},5,"省级科研机构联合推广部门开展的大豆专用品种观摩培训，含89个品种加工适应性评估数据，对种业振兴与产业化有实质参考价值，但属细分行业进展且已过一周时效。",[406],{"name":400,"url":398},[217,26,408,409,410],"农技培训","专用品种","加工适应性",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":414},{"candidates":415,"agricultural_evidence":46},[416,420,426],{"code":32,"score":45,"supported":46,"title":417,"abstract":418,"tags":419},[26],[26],[26],{"code":421,"score":168,"supported":46,"title":422,"abstract":423,"tags":425},"G1",[],[424],"技术培训",[408],{"code":241,"score":21,"supported":14,"title":427,"abstract":428,"tags":429},[],[],[217],[431,432],"安徽省农科院 大豆 太和","大豆专用品种 产业化培训","安徽省农科院大豆太和-4726","2026-10-12T00:11:05.556043Z"]