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亩产672.79公斤","四川省农科院节水抗旱稻德阳旌阳区-5279",0,"2026-10-19T00:07:41.265327Z",{"id":143,"title":144,"url":145,"summary":146,"summary_zh":8,"content":147,"source_name":148,"source_url":8,"published_at":8,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":149,"score_detail":150,"sources":153,"tags":155,"primary_topic":159,"secondary_topics":160,"classification":162,"search_phrases":182,"slug":185,"view_count":140,"doi":8,"paper":8,"created_at":186},5220,"省农科院水稻高粱所与平昌县十年协同:酿酒专用粮全产业链加速成型","https:\u002F\u002Fwww.sctv.com\u002Fnews\u002F2110606011947991042","四川省农业科学院水稻高粱所深度融入平昌县白酒产业\"融圈建链\"战略,以科技成果转化示范基地为平台,携手小角楼酒业探索\"专家驻点+品种示范+技术集成+订单回收\"模式,推动科研成果从实验室走向田间,为秦巴山区乡村振兴提供科技动能。","秦巴山区，秋风送爽，平昌大地高粱红遍。从土兴镇的示范田到白衣镇的产业园区，从种植大户的丰收笑脸到小角楼酒业的原粮基地，一条以科技为引领、以院地企协同为支撑的酿酒专用粮全产业链正加速成型。近年来，四川省农业科学院水稻高粱所深度融入平昌县白酒产业“融圈建链”战略，以科技成果转化示范基地为平台，以驻村工作队为纽带，以良种良法为核心，携手小角楼酒业十年深耕，探索出“专家驻点+品种示范+技术集成+订单回收”的协同发展模式，将科技优势转化为产业优势，为秦巴山区乡村振兴和川东北白酒产业高质量发展注入强劲动能。","四川网络广播电视台(2026-10)",57,{"impact":94,"substance":151,"depth":18,"authority":20,"freshness":82,"relevant":21,"comment":152},14,"省级科研机构与县域、企业十年协同的产业链报道，有模式提炼但属地方宣传性通稿，信息增量有限。",[154],{"name":148,"url":145},[26,120,156,157,158],"科技成果转化","酿酒专用粮","院地企协同",{"code":34,"slug":35,"name":36,"path":37,"parent_code":38},[161],{"code":71,"slug":106,"name":107,"path":108,"parent_code":38},{"status":41,"locked":14,"version":42,"method":43,"evidence":163},{"candidates":164,"agricultural_evidence":48},[165,169,173,177],{"code":34,"score":18,"supported":48,"title":166,"abstract":167,"tags":168},[120],[120],[120],{"code":71,"score":19,"supported":48,"title":170,"abstract":171,"tags":172},[107],[107],[],{"code":53,"score":47,"supported":48,"title":174,"abstract":175,"tags":176},[],[26],[26],{"code":65,"score":47,"supported":48,"title":178,"abstract":179,"tags":181},[],[180],"成果转化",[156],[183,184],"四川省农科院 水稻高粱所 平昌县","平昌 酿酒专用粮 小角楼","四川省农科院水稻高粱所平昌县-5220","2026-10-18T00:05:23.650956Z",{"id":188,"title":189,"url":190,"summary":191,"summary_zh":192,"content":8,"source_name":193,"source_url":190,"published_at":194,"category":195,"cover_url":8,"hotness":13,"is_selected":14,"score":92,"score_detail":196,"sources":199,"tags":201,"primary_topic":206,"secondary_topics":207,"classification":208,"search_phrases":220,"slug":223,"view_count":140,"doi":224,"paper":225,"created_at":243},4979,"Export competitiveness and indicative financial performance of quinoa in Ecuador and Bolivia: a comparative analysis","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1927925","Introduction This study compares the export performance and indicative financial performance of quinoa in Ecuador and Bolivia from 2016 to 2024. Methods A country-year dataset comprising 18 observations was compiled from official statistical and trade sources. Export performance was assessed descriptively using export volume, FOB value, export unit value, growth, and continuity. Financial performance was evaluated separately through an indicative 2026 benefit -cost (B\u002FC) scenario based on the implicit export unit value and reference production costs. Results Bolivia maintained considerably higher and more continuous export volumes, while Ecuador showed lower export volumes but periods of higher unit export values. The indicative financial scenario produced a B\u002FC ratio of 2.33 for Bolivia and 1.22 for Ecuador. Discussion These estimates are indicative because comparable annual observed production costs were not available. Certifications are discussed as institutional mechanisms that may facilitate market access and product differentiation, but their economic effect is not quantified. Overall, the evidence indicates substantial differences in export scale and continuity, while the indicative 2026 scenario highlights differences in reference cost conditions.","引言 本研究比较了2016年至2024年厄瓜多尔和玻利维亚藜麦的出口表现和指示性财务表现。方法 从官方统计和贸易来源编制了一个包含18个观测值的国家-年度数据集。出口表现通过出口量、离岸价（FOB）价值、出口单位价值、增长和连续性进行描述性评估。财务表现则通过基于隐含出口单位价值和参考生产成本的指示性2026年效益-成本（B\u002FC）情景单独评估。结果 玻利维亚保持了显著更高且更连续的出口量，而厄瓜多尔出口量较低，但存在出口单位价值较高的时期。指示性财务情景得出的B\u002FC比率，玻利维亚为2.33，厄瓜多尔为1.22。讨论 这些估计具有指示性，因为无法获得可比的年度观测生产成本。认证作为可能促进市场准入和产品差异化的制度机制进行了讨论，但其经济效应未予量化。总体而言，证据表明出口规模和连续性存在显著差异，而指示性2026年情景则凸显了参考成本条件的差异。","Frontiers in Sustainable Food Systems","2026-10-14T00:00:00Z","论文",{"impact":197,"substance":95,"depth":17,"authority":96,"freshness":20,"relevant":21,"comment":198},8,"基于18国别年观测数据的藜麦出口竞争力与指示性财务比较研究，结论有参考价值但成本数据缺失、经济效应未量化，属细分领域学术进展。",[200],{"name":193,"url":190},[202,32,203,204,205],"农产品出口","成本收益","有机认证","安第斯农业",{"code":34,"slug":35,"name":36,"path":37,"parent_code":38},[],{"status":41,"locked":14,"version":42,"method":43,"evidence":209},{"candidates":210,"agricultural_evidence":48},[211,215],{"code":34,"score":47,"supported":48,"title":212,"abstract":213,"tags":214},[],[32],[32],{"code":216,"score":21,"supported":14,"title":217,"abstract":218,"tags":219},"E5",[],[],[202],[221,222],"厄瓜多尔 玻利维亚 藜麦 出口","藜麦 出口竞争力 成本收益","厄瓜多尔玻利维亚藜麦出口-4979","10.3389\u002Ffsufs.2026.1927925",{"doi":224,"openalex_id":226,"authors":227,"venue":193,"cited_by_count":140,"oa_url":235,"card":236,"direction":240,"ingested_from":242},"W7221789412",[228,231,233],{"name":229,"orcid":230},"Carolina Jaramillo","https:\u002F\u002Forcid.org\u002F0000-0002-0566-9251",{"name":232,"orcid":8},"Ramiro Jaramillo",{"name":234,"orcid":8},"Lorena Muquis","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1927925\u002Fpdf",{"tldr":237,"method":238,"finding":239,"direction":240,"opportunity":241},"比较厄瓜多尔与玻利维亚2016-2024年藜麦出口竞争力及指示性财务表现。","基于18个国家-年份官方贸易数据，描述性分析出口指标并构建2026年B\u002FC情景。","玻利维亚出口量更高更连续，指示性B\u002FC为2.33；厄瓜多尔为1.22。","其他","可引入实际生产成本与认证数据，量化认证对藜麦出口溢价和财务绩效的影响。","openalex","2026-10-15T23:30:06.584179Z",{"id":245,"title":246,"url":247,"summary":248,"summary_zh":8,"content":249,"source_name":250,"source_url":8,"published_at":251,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":252,"score_detail":253,"sources":255,"tags":257,"primary_topic":263,"secondary_topics":264,"classification":265,"search_phrases":281,"slug":284,"view_count":79,"doi":8,"paper":8,"created_at":285},2252,"雄安新区甘薯产业创新发展交流活动举办 京津冀协同创新中心启动","http:\u002F\u002Fxiongxian.gov.cn\u002Fcontent-173-76039.html","9月5日,2026年雄安新区甘薯产业创新发展交流活动举办,京津冀甘薯产业协同创新中心建设正式启动。作为北方最大鲜食甘薯集散中心,\"雄安甘薯\"区域公用品牌影响力持续攀升。","9 月 5日，2026年雄安新区甘薯产业创新发展交流活动在雄县双堂乡徐庄村甘薯仓储基地成功举办。本次活动由国家甘薯产业技术研发中心、河北省农林科学院、河北雄安新区农业农村局及雄县人民政府共同主办，旨在落实2026年中央一号文件关于“统筹发展科技农业、绿色农业、质量农业、品牌农业”的工作要求，持续培育“雄安甘薯”区域公用品牌，推动甘薯产业全链条升级。\n\n作为北方最大的鲜食甘薯集散中心，“雄安甘薯”区域公用品牌自发布以来，品牌影响力持续攀升。本次活动汇聚了国家甘薯产业技术体系、省农林科学院等甘薯领域的专家以及京津冀农业农村部门相关负责人、行业领军企业代表、电商主播等约200人，围绕苗头型品种培育、绿色高效种植、品牌与渠道创新等核心议题展开深入交流，为雄安新区甘薯产业高质量发展注入强劲智力动能。\n\n一、科技赋能，启动协同创新新引擎。\n\n活动中，京津冀甘薯产业协同创新中心建设正式启动，标志着雄安新区在甘薯产业协同创新上迈出关键一步。该中心将整合三地科研力量，聚焦产业关键技术攻关，推动科技成果在雄安及周边高效转化。同时，雄安新区健全完善现代农业产业技术体系，通过打造甘薯创新团队试验应用基地，搭建起了“产学研用”紧密结合的桥梁，不断推动科技成果在雄安落地生根。\n\n二、以技促产，点燃产业升级新活力\n\n为强化标准化、商品化理念，活动现场举行了“薯你最牛”甘薯分拣技能比拼。来自当地的种植能手同台竞技，从分拣速度、精度到分级标准展开比拼，在趣味与竞争中展现了“雄安甘薯”产业从业者的精湛技艺，有效助推了产业标准化进程。\n\n三、线上线下融合，拓宽品牌营销新渠道\n\n活动聚焦电商产业发展，创新开展了“雄安甘薯”直播预售专场活动。活动期间开展线上直播，遴选优秀主播进行品牌推介与线上销售，以“线上引流+线下体验”模式，极大拓宽了营销渠道。与会嘉宾还实地观摩了空中结薯连廊、水肥药精准化管理、甘薯全程机械化演示等场景，直观感受“雄安甘薯”的科技硬实力。\n\n四、深耕培训，夯实乡村振兴人才根基\n\n活动同期举办了雄安甘薯产业发展专项培训，面向新区种植户、经纪人开展种植技术、品种推介和农产品质量安全专题培训，提升经营主体技术水平，以人才振兴助推产业振兴。目前，以甘薯产业发展为主要内容的雄县国家农业产业强镇建设正加快推进。\n\n此次活动的成功举办，不仅是雄安新区甘薯产业阶段成果的集中展示，更是面向未来、布局产业新动能的重要起点。下一步，雄安新区将持续以品牌建设为引领，推动甘薯产业从“产品价值”向“品牌价值”跃升，让“雄安甘薯”成为代表雄安现代农业高质量发展的金名片，为新区乡村全面振兴注入持续动能。","雄县人民政府 国家甘薯产业技术研发中心","2026-09-04T16:00:00Z",66,{"impact":95,"substance":94,"depth":96,"authority":96,"freshness":82,"relevant":21,"comment":254},"雄安甘薯产业交流活动启动京津冀协同创新中心，兼具品牌建设、科技赋能与电商助农内容，信源权威但属区域产业动态，时效性一般，可作为行业参考。",[256],{"name":250,"url":247},[26,258,259,260,261,262],"区域公用品牌","农业科技","电商助农","甘薯产业","京津冀协同",{"code":34,"slug":35,"name":36,"path":37,"parent_code":38},[],{"status":41,"locked":14,"version":42,"method":43,"evidence":266},{"candidates":267,"agricultural_evidence":48},[268,273,277],{"code":34,"score":19,"supported":48,"title":269,"abstract":271,"tags":272},[270],"甘薯",[270],[],{"code":216,"score":79,"supported":14,"title":274,"abstract":275,"tags":276},[],[],[258,260],{"code":53,"score":21,"supported":14,"title":278,"abstract":279,"tags":280},[],[],[26],[282,283],"区域公用品牌 京津冀协同 乡村振兴 农业科技","区域公用品牌 京津冀协同","区域公用品牌京津冀协同乡村振兴农业科技-2252","2026-09-13T00:04:02.566447Z",{"id":287,"title":288,"url":289,"summary":290,"summary_zh":8,"content":249,"source_name":291,"source_url":8,"published_at":292,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":293,"score_detail":294,"sources":296,"tags":298,"primary_topic":299,"secondary_topics":300,"classification":301,"search_phrases":316,"slug":317,"view_count":79,"doi":8,"paper":8,"created_at":318},2103,"2026年雄安新区甘薯产业创新发展交流活动成功举办 京津冀协同创新中心建设启动","http:\u002F\u002Fwww.xiongxian.gov.cn\u002Fcontent-2-76042.html","9月5日2026年雄安新区甘薯产业创新发展交流活动在雄县双堂乡徐庄村甘薯仓储基地成功举办,京津冀甘薯产业协同创新中心建设正式启动,标志着雄安新区在甘薯产业协同创新上迈出关键一步。该中心将整合三地科研力量,聚焦产业关键技术攻关,推动科技成果在雄安及周边高效转化。活动围绕苗头型品种培育、绿色高效种植、品牌与渠道创新等核心议题展开深入交流,约200人参加。","雄县政府","2026-09-05T00:00:00Z",62,{"impact":95,"substance":94,"depth":96,"authority":20,"freshness":82,"relevant":21,"comment":295},"雄安甘薯产业交流活动并启动京津冀协同创新中心，属区域产业级进展，内容较实但为地方活动通稿，时效稍滞后。",[297],{"name":291,"url":289},[26,258,259,261,262],{"code":34,"slug":35,"name":36,"path":37,"parent_code":38},[],{"status":41,"locked":14,"version":42,"method":43,"evidence":302},{"candidates":303,"agricultural_evidence":48},[304,308,312],{"code":34,"score":19,"supported":48,"title":305,"abstract":306,"tags":307},[270],[270],[],{"code":216,"score":21,"supported":14,"title":309,"abstract":310,"tags":311},[],[],[258],{"code":53,"score":21,"supported":14,"title":313,"abstract":314,"tags":315},[],[],[26],[282,283],"区域公用品牌京津冀协同乡村振兴农业科技-2103","2026-09-11T00:04:21.378677Z",{"id":320,"title":321,"url":322,"summary":323,"summary_zh":324,"content":8,"source_name":325,"source_url":322,"published_at":326,"category":195,"cover_url":8,"hotness":13,"is_selected":14,"score":327,"score_detail":328,"sources":331,"tags":333,"primary_topic":339,"secondary_topics":340,"classification":341,"search_phrases":367,"slug":370,"view_count":140,"doi":371,"paper":372,"created_at":388},5561,"Growth Stage and Cultivar Influence the Interpretation of UAV-Derived NDVI for Potato Yield Assessment","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11540-026-10161-5","Abstract Single-date UAV vegetation indices are widely used to assess potato crop performance and estimate yield. However, whether their biological interpretation remains consistent across cultivars and growth stages is rarely examined. This study investigated how the relationships between UAV-derived multispectral and thermal canopy indicators and potato yield changed during crop development under contrasting irrigation in two cultivars with contrasting maturity classes (Anouk and Celandine). UAV surveys were conducted in July and August, and canopy metrics were related to final yield and tuber traits. The relationship between NDVI and yield differed markedly between cultivars and growth stages. In the early-maturing cultivar Anouk, July NDVI showed a strong positive correlation with yield ( r = 0.87, p = 0.002), whereas August NDVI was not informative. In the late-maturing cultivar Celandine, the relationship reversed from a positive correlation in July ( r = 0.56) to a strong negative correlation in August ( r = −0.80, p = 0.009), indicating that greater late-season canopy greenness was associated with lower yield. Exploratory LOOCV Random Forest models achieved the highest yield prediction accuracy using July features for Anouk ( R 2 = 0.72) and August features for Celandine ( R 2 = 0.47), while multi-temporal features provided similar predictive performance. Greater temporal declines in NDVI were associated with higher yield in both cultivars, consistent with the change in canopy greenness acting as a phenological indicator of the transition from vegetative growth to tuber bulking. These results demonstrate that the interpretation of UAV-derived vegetation indices is strongly dependent on cultivar maturity and growth stage. A single UAV acquisition may therefore provide misleading assessments of crop performance when canopy phenology is not considered. Rather than serving as fixed proxies for yield, canopy vegetation indices should be interpreted within cultivar-specific and temporal contexts when used for potato monitoring and agronomic decision-making.","摘要 单期无人机植被指数被广泛用于评估马铃薯作物表现和估算产量。然而，其生物学解释在不同品种和生育期之间是否保持一致，鲜有研究加以检验。本研究探讨了在两种成熟性类别不同的品种（Anouk和Celandine）中，不同灌溉条件下，无人机获取的多光谱与热红外冠层指标与马铃薯产量之间的关系在作物发育过程中如何变化。无人机调查于7月和8月进行，并将冠层指标与最终产量及块茎性状进行关联分析。NDVI与产量之间的关系在品种和生育期之间差异显著。在早熟品种Anouk中，7月NDVI与产量呈强正相关（r = 0.87，p = 0.002），而8月NDVI则不具有指示意义。在晚熟品种Celandine中，该关系由7月的正相关（r = 0.56）转变为8月的强负相关（r = −0.80，p = 0.009），表明后期冠层绿度越高与产量越低相关。探索性留一交叉验证（LOOCV）随机森林模型在使用Anouk的7月特征（R² = 0.72）和Celandine的8月特征（R² = 0.47）时取得了最高的产量预测精度，而多时相特征提供了相似的预测表现。两个品种中NDVI随时间下降幅度越大均与产量越高相关，这与冠层绿度变化作为从营养生长向块茎膨大转变的物候指示相一致。这些结果表明，无人机获取的植被指数的解释强烈依赖于品种成熟性和生育期。因此，在未考虑冠层物候的情况下，单次无人机采集可能对作物表现作出误导性评估。冠层植被指数不应作为产量的固定替代指标，而应在品种特异性和时间背景下加以解释，方可用于马铃薯监测和农艺决策。","Potato Research","2026-10-20T00:00:00Z",79,{"impact":94,"substance":329,"depth":95,"authority":151,"freshness":20,"relevant":21,"comment":330},22,"该研究揭示UAV-NDVI与马铃薯产量的关系随品种熟期和生育阶段而反转，对智慧农业遥感监测具有实质方法学与决策参考价值。",[332],{"name":325,"url":322},[334,335,336,337,338],"智慧农业","马铃薯","产量预测","遥感","作物表型",{"code":34,"slug":35,"name":36,"path":37,"parent_code":38},[],{"status":41,"locked":14,"version":42,"method":43,"evidence":342},{"candidates":343,"agricultural_evidence":48},[344,349,356,362],{"code":34,"score":17,"supported":48,"title":345,"abstract":347,"tags":348},[346],"potato",[335,346],[335],{"code":350,"score":82,"supported":48,"title":351,"abstract":352,"tags":355},"H3",[],[353,354],"灌溉","irrigation",[],{"code":357,"score":82,"supported":48,"title":358,"abstract":359,"tags":361},"I3",[],[360],"multispectral",[336,338,337],{"code":363,"score":21,"supported":14,"title":364,"abstract":365,"tags":366},"I1",[],[],[334],[368,369],"UAV NDVI 马铃薯 产量","马铃薯 品种 生育期 遥感","UAVNDVI马铃薯产量-5561","10.1007\u002Fs11540-026-10161-5",{"doi":371,"openalex_id":373,"authors":374,"venue":325,"cited_by_count":140,"oa_url":380,"card":381,"direction":387,"ingested_from":242},"W7223067378",[375,378],{"name":376,"orcid":377},"Jiangsan Zhao","https:\u002F\u002Forcid.org\u002F0000-0003-3916-7388",{"name":379,"orcid":8},"Jaroslaw S. Grodek","https:\u002F\u002Flink.springer.com\u002Fcontent\u002Fpdf\u002F10.1007\u002Fs11540-026-10161-5.pdf",{"tldr":382,"method":383,"finding":384,"direction":385,"opportunity":386},"研究不同品种和生育期下无人机NDVI与马铃薯产量的关系差异。","两个熟期品种、多时相无人机多光谱与热红外冠层指标，结合随机森林建模。","NDVI与产量的关系随品种和时期反转，晚熟品种8月NDVI与产量强负相关。","农业遥感与作物表型","可构建融合品种熟期与冠层物候期的时相自适应产量估算模型，避免单次飞行误判。","智慧农业 \u002F 农业物联网","2026-10-22T11:20:21.975818Z"]