[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-5137":3,"related-5137":108},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":8,"source_name":9,"source_url":6,"published_at":10,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":14,"score_detail":15,"sources":23,"tags":25,"primary_topic":30,"secondary_topics":36,"classification":37,"search_phrases":60,"slug":63,"view_count":64,"doi":65,"paper":66,"created_at":107},5137,"Integrated nutrient management enhances multifunctional sustainability of fodder sorghum systems: An index-based multivariate assessment","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.agsy.2026.105019","Integrated nutrient management enhances multifunctional sustainability of fodder sorghum systems: An index-based multivariate assessment。Agricultural Systems",null,"Agricultural Systems","2026-10-16T00:00:00Z","论文",10,false,69,{"impact":16,"substance":17,"depth":18,"authority":19,"freshness":20,"relevant":21,"comment":22},12,18,16,14,9,1,"核心期刊论文，方法有一定新意，但属细分领域研究，产业影响有限，时效性强，可作备选而非必选。",[24],{"name":9,"url":6},[26,27,28,29],"可持续农业","养分管理","农业系统","饲草高粱",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},"A5","tubers-grains","薯类与杂粮","\u002Ftopic\u002Ffield-crops\u002Ftubers-grains","A",[],{"status":38,"locked":13,"version":39,"method":40,"evidence":41},"classified","2026-10-22.2","rules",{"candidates":42,"agricultural_evidence":45},[43,50,55],{"code":31,"score":44,"supported":45,"title":46,"abstract":48,"tags":49},11,true,[47],"sorghum",[47],[],{"code":51,"score":21,"supported":13,"title":52,"abstract":53,"tags":54},"F3",[],[],[27],{"code":56,"score":21,"supported":13,"title":57,"abstract":58,"tags":59},"H8",[],[],[26],[61,62],"饲草高粱 养分管理","Agricultural Systems 高粱","饲草高粱养分管理-5137",0,"10.1016\u002Fj.agsy.2026.105019",{"doi":65,"openalex_id":67,"authors":68,"venue":9,"cited_by_count":64,"oa_url":8,"card":8,"direction":8,"ingested_from":106},"W7222541610",[69,72,75,77,79,81,84,86,88,91,94,96,98,101,104],{"name":70,"orcid":71},"Mohd. Arif","https:\u002F\u002Forcid.org\u002F0000-0003-0406-7037",{"name":73,"orcid":74},"Ramasamy Pourouchottamane","https:\u002F\u002Forcid.org\u002F0000-0003-3462-5108",{"name":76,"orcid":8},"Ravindra Kumar",{"name":78,"orcid":8},"Arvind Kumar",{"name":80,"orcid":8},"M.A. Ansari",{"name":82,"orcid":83},"Mohammad Hasanain","https:\u002F\u002Forcid.org\u002F0009-0009-5738-2568",{"name":85,"orcid":8},"Raghavendra Singh",{"name":87,"orcid":8},"Rakesh Kumar",{"name":89,"orcid":90},"AL Meena","https:\u002F\u002Forcid.org\u002F0000-0002-3020-5141",{"name":92,"orcid":93},"Ved Prakash","https:\u002F\u002Forcid.org\u002F0000-0002-1576-9424",{"name":95,"orcid":8},"B. Rai",{"name":97,"orcid":8},"M.K. Singh",{"name":99,"orcid":100},"A. K. Dixit","https:\u002F\u002Forcid.org\u002F0009-0005-5633-8101",{"name":102,"orcid":103},"Chetna Gangwar","https:\u002F\u002Forcid.org\u002F0000-0003-0826-0811",{"name":105,"orcid":8},"K. Gururaj","openalex","2026-10-17T23:30:04.483230Z",{"total":109,"page":21,"page_size":109,"items":110},6,[111,219,285,329,376,432],{"id":112,"title":113,"url":114,"summary":115,"summary_zh":116,"content":8,"source_name":117,"source_url":114,"published_at":118,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":119,"score_detail":120,"sources":124,"tags":126,"primary_topic":131,"secondary_topics":132,"classification":133,"search_phrases":200,"slug":203,"view_count":64,"doi":204,"paper":205,"created_at":218},4359,"A longitudinal analysis of diet quality, groundwater depletion and glacier thicknesses with implications for the sustainable development goal 2","https:\u002F\u002Fdoi.org\u002F10.1088\u002F2976-601x\u002Faea4b9","Abstract The United Nations Sustainable Development Goal 2 (SDG) underscores the need for eliminating hunger, improving nutrition, and promoting sustainable agriculture. For achieving SDG2, it is critical to address several factors such as agricultural production, groundwater depletion, and glacier decline under climate change. Using longitudinal district-level data from India from 2000–2016, a framework is developed for analyzing the data on agricultural outputs, well-depths (distance from ground to water tables), and in situ and remote sensing data on glacier thicknesses for the sustainability of food systems. First, the analysis of data on the production of rice, wheat, maize, sorghum, and pearl millet for 310 districts in India showed that greater rice output was significantly associated with higher well depths. Second, milk production was positively associated with well depths, indicating that improving diet quality entails higher water utilization. Third, an analysis of remote sensing data on changes in glacier heights for 0.5° × 0.5° grids in the Northern Hemisphere indicated large and significant declines over time; glacier thickness reductions were generally small using in situ data. Overall, the empirical results will facilitate the formulation of evidence-based policies for tackling ‘zero hunger’ and diet quality goals, cultivating water-efficient crops, recharging groundwater, and monitoring the dynamics of glaciers for long-term sustainability.","摘要 联合国可持续发展目标2（SDG2）强调消除饥饿、改善营养和促进可持续农业的必要性。为实现SDG2，必须应对气候变化下的农业生产、地下水枯竭和冰川退缩等若干关键因素。本研究利用印度2000—2016年地区级纵向数据，构建了一个分析框架，用于整合农业产出数据、井深（地面至地下水位之间的距离）数据以及冰川厚度的实地观测与遥感数据，以评估粮食系统的可持续性。首先，对印度310个地区水稻、小麦、玉米、高粱和珍珠粟产量数据的分析表明，水稻产量越高与井深越大显著相关。其次，牛奶产量与井深呈正相关，表明改善膳食质量伴随着更高的水资源利用。第三，对北半球0.5°×0.5°网格冰川高度变化的遥感数据分析表明，冰川高度随时间推移出现大幅且显著的下降；而基于实地数据的冰川厚度减少幅度总体较小。总体而言，这些实证结果将有助于制定循证政策，以应对“零饥饿”和膳食质量目标、培育节水作物、回补地下水以及监测冰川动态，从而实现长期可持续发展。","Environmental Research Food Systems","2026-10-06T00:00:00Z",80,{"impact":17,"substance":121,"depth":17,"authority":122,"freshness":20,"relevant":21,"comment":123},22,13,"基于印度310个区2000—2016年面板数据，将膳食质量、地下水枯竭与冰川消融纳入SDG2分析框架，数据规模与方法均有新意，对农业可持续性政策有参考价值。",[125],{"name":117,"url":114},[127,26,128,129,130],"粮食安全","遥感监测","地下水超采","膳食营养",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":13,"version":39,"method":40,"evidence":134},{"candidates":135,"agricultural_evidence":45},[136,142,148,155,162,169,176,183,190,195],{"code":31,"score":20,"supported":45,"title":137,"abstract":138,"tags":141},[],[139,47,140],"高粱","millet",[],{"code":56,"score":143,"supported":45,"title":144,"abstract":145,"tags":147},7,[],[26,146],"sustainable agriculture",[26],{"code":149,"score":143,"supported":45,"title":150,"abstract":151,"tags":154},"I3",[],[152,153],"遥感","remote sensing",[128],{"code":156,"score":109,"supported":45,"title":157,"abstract":158,"tags":161},"A1",[],[159,160],"水稻","rice",[],{"code":163,"score":109,"supported":45,"title":164,"abstract":165,"tags":168},"A2",[],[166,167],"小麦","wheat",[],{"code":170,"score":109,"supported":45,"title":171,"abstract":172,"tags":175},"A3",[],[173,174],"玉米","maize",[],{"code":177,"score":109,"supported":45,"title":178,"abstract":179,"tags":182},"H7",[],[180,181],"气候变化","climate change",[],{"code":184,"score":185,"supported":45,"title":186,"abstract":187,"tags":189},"H3",3,[],[188],"水资源",[],{"code":191,"score":21,"supported":13,"title":192,"abstract":193,"tags":194},"A8",[],[],[127],{"code":196,"score":21,"supported":13,"title":197,"abstract":198,"tags":199},"E2",[],[],[130],[201,202],"印度 水稻 地下水 井深","冰川厚度 遥感 粮食安全","印度水稻地下水井深-4359","10.1088\u002F2976-601x\u002Faea4b9",{"doi":204,"openalex_id":206,"authors":207,"venue":117,"cited_by_count":64,"oa_url":114,"card":211,"direction":217,"ingested_from":106},"W7220726463",[208],{"name":209,"orcid":210},"Alok Bhargava","https:\u002F\u002Forcid.org\u002F0000-0002-0399-0949",{"tldr":212,"method":213,"finding":214,"direction":215,"opportunity":216},"基于印度2000–2016年区级数据，分析饮食质量、地下水消耗与冰川消融对SDG2可持续性的影响。","印度310区作物产量、井深纵向数据及遥感冰川厚度数据，构建分析框架。","水稻产量越高井越深，奶产量与井深正相关，北半球冰川厚度显著下降。","农业绿色发展与碳","可结合多源遥感与农户调查，量化饮食结构变化对地下水与冰川的跨尺度反馈机制。","农业遥感与作物表型","2026-10-07T23:30:26.146010Z",{"id":220,"title":221,"url":222,"summary":223,"summary_zh":224,"content":8,"source_name":225,"source_url":222,"published_at":226,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":227,"score_detail":228,"sources":230,"tags":232,"primary_topic":237,"secondary_topics":238,"classification":239,"search_phrases":264,"slug":267,"view_count":64,"doi":268,"paper":269,"created_at":284},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":18,"substance":121,"depth":17,"authority":19,"freshness":20,"relevant":21,"comment":229},"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。",[231],{"name":225,"url":222},[233,234,235,152,236],"智慧农业","马铃薯","产量预测","作物表型",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":13,"version":39,"method":40,"evidence":240},{"candidates":241,"agricultural_evidence":45},[242,248,254,259],{"code":31,"score":243,"supported":45,"title":244,"abstract":246,"tags":247},15,[245],"potato",[234,245],[234],{"code":184,"score":109,"supported":45,"title":249,"abstract":250,"tags":253},[],[251,252],"灌溉","irrigation",[],{"code":149,"score":109,"supported":45,"title":255,"abstract":256,"tags":258},[],[257],"multispectral",[235,236,152],{"code":260,"score":21,"supported":13,"title":261,"abstract":262,"tags":263},"I1",[],[],[233],[265,266],"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":268,"openalex_id":270,"authors":271,"venue":225,"cited_by_count":64,"oa_url":277,"card":278,"direction":283,"ingested_from":106},"W7223067378",[272,275],{"name":273,"orcid":274},"Jiangsan Zhao","https:\u002F\u002Forcid.org\u002F0000-0003-3916-7388",{"name":276,"orcid":8},"Jaroslaw S. Grodek","https:\u002F\u002Flink.springer.com\u002Fcontent\u002Fpdf\u002F10.1007\u002Fs11540-026-10161-5.pdf",{"tldr":279,"method":280,"finding":281,"direction":217,"opportunity":282},"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。","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",{"id":286,"title":287,"url":288,"summary":289,"summary_zh":8,"content":290,"source_name":291,"source_url":8,"published_at":226,"category":292,"cover_url":8,"hotness":12,"is_selected":13,"score":293,"score_detail":294,"sources":298,"tags":300,"primary_topic":305,"secondary_topics":306,"classification":307,"search_phrases":324,"slug":327,"view_count":64,"doi":8,"paper":8,"created_at":328},5526,"甘肃农科院陇薯红1号千亩方实收测产 亩产3033.59公斤商品率92%","https:\u002F\u002Fmlss.gsagr.cn\u002Finfo\u002F1056\u002F2213.htm","10月18日马铃薯研究所科研团队在会宁县大沟镇郭庄村陇薯红1号千亩示范方开展现场测产，实测亩产3033.59公斤、商品率92%。该品种为鲜食与加工兼用型，薯皮光滑呈红色、薯肉红芯黄边富含花青素，抗旱性与综合抗逆性突出，尤宜炸制薯片薯条，已获多家薯片薯条加工企业认可。","测产现场，专家组严格按照马铃薯田间测产技术规程，对自主选育的陇薯红1号进行实收测产，并综合评价其农艺性状、抗逆性与加工品质。经实测，该品种田间长势整齐，丰产性突出，折合亩产3033.59公斤，商品率达92%，抗逆表现良好，块茎外观品质优良，符合加工原料标准。项目负责人、马铃薯所长马丽荣介绍，陇薯红1号是我院马铃薯研究所最新选育的鲜食与加工兼用型品种，尤宜炸制薯片、薯条。该品种薯形规整，薯皮光滑呈红色，薯肉红芯黄边，富含花青素，抗旱性与综合抗逆性突出，炸制的薯片色泽鲜亮、片形均匀、品质稳定。该品种的育成进一步拓展了功能加工型马铃薯的育种方向与应用场景，已获得省内外多家薯片、薯条加工企业的高度评价与广泛认可。","甘肃省农业科学院马铃薯研究所 2026-10-20","报道",73,{"impact":17,"substance":295,"depth":19,"authority":122,"freshness":296,"relevant":21,"comment":297},20,8,"省级科研机构自主选育的功能加工型马铃薯品种千亩方实收测产，亩产与商品率数据具体，兼具鲜食加工兼用与花青素特色，具备行业参考价值。",[299],{"name":291,"url":288},[234,301,302,303,304],"种业振兴","测产验收","功能加工型","陇薯红1号",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":13,"version":39,"method":40,"evidence":308},{"candidates":309,"agricultural_evidence":45},[310,315,319],{"code":31,"score":311,"supported":45,"title":312,"abstract":313,"tags":314},4,[],[234],[234],{"code":191,"score":21,"supported":13,"title":316,"abstract":317,"tags":318},[],[],[302],{"code":320,"score":21,"supported":13,"title":321,"abstract":322,"tags":323},"F1",[],[],[301],[325,326],"甘肃农科院 陇薯红1号 测产","陇薯红1号 亩产3033.59公斤","甘肃农科院陇薯红1号测产-5526","2026-10-22T00:07:04.811596Z",{"id":330,"title":331,"url":332,"summary":333,"summary_zh":8,"content":334,"source_name":335,"source_url":8,"published_at":226,"category":292,"cover_url":8,"hotness":12,"is_selected":13,"score":336,"score_detail":337,"sources":339,"tags":341,"primary_topic":346,"secondary_topics":347,"classification":348,"search_phrases":371,"slug":374,"view_count":64,"doi":8,"paper":8,"created_at":375},5514,"山东农科院作物所商河举办红高粱观摩培训会 政企共建示范基地","http:\u002F\u002Fsdcrops.cn\u002Farticles\u002Fch11158\u002F202610\u002F32fdb8f1-6d3b-441c-8ef9-3d0d3332ce90.shtml","10月18日第四届「红高粱·庆丰收」山东省酿酒高粱新品种新技术现场观摩培训会在商河县金盆地高粱种植示范基地举办，省农科院作物所联合山东省白酒协会与商河县人民政府主办，50余名酿酒畜牧企业代表与种植大户参加。会上颁发「科技成果转化专员」聘书并签署示范基地共建协议。","秋染良田，红粱飘香。为加快酿酒高粱新品种新技术成果转化，深化院地产学研协同创新，10月18日，第四届“红高粱・庆丰收”山东省酿酒高粱新品种新技术现场观摩培训会在商河县金盆地高粱种植示范基地成功举办。本次活动由山东省农业科学院作物研究所联合山东省白酒协会、商河县人民政府共同主办，商河县委组织部、县农业农村局、县人社局、县科协、县广播电视台、龙桑寺镇人民政府承办，商河县金盆地家庭农场协办。省农科院党委委员、副院长刘开昌，作物所理事长兼党委书记赵海军，山东省白酒协会秘书长李浩然，商河县副县长任明光及县直相关部门负责同志出席；省内外酿酒企业、畜牧企业代表，部分家庭农场、合作社及高粱种植大户50余人参加。\n\n活动以酿酒高粱试验示范基地建设为核心，搭建科研成果落地田间的转化平台，集中展示作物所酿酒高粱育种与栽培技术最新成果。国家谷子高粱产业技术体系济南综合试验站站长、作物所杂粮团队首席专家张华文研究员在田间开展技术培训，围绕新品种选育进展、标准化高产栽培技术、产业发展现状与趋势等核心内容，与种植大户、企业代表现场互动交流，针对性解答生产一线实际问题，推动良种良法直送生产端。\n\n现场观摩培训会由龙桑寺镇党委书记刘友智主持，任明光、李浩然、刘开昌先后致辞。赵海军为金盆地家庭农场负责人史益民颁发“科技成果转化专员”聘书，双方共同签署酿酒高粱试验示范基地共建协议，建立长期稳定的科研合作纽带。随后，与会领导为开镰仪式剪彩，标志着示范基地高粱正式进入丰收收割阶段。与会人员还深入田间观摩酿酒高粱新品种示范田。张华文现场讲解品种特征特性、产量表现及配套轻简栽培技术，直观展示科研成果的应用成效与产业价值。\n\n本次活动是作物所深化院地合作、推进科技成果转化的重要实践。商河金盆地高粱示范基地作为院地共建核心载体，已成为科研人才下沉一线、新品种新技术落地推广的田间阵地，有效打通科研与生产的衔接通道。下一步，作物所将持续发挥科研人才与技术优势，深化与金盆地家庭农场的产学研协同，开展酿酒高粱新品种试验与栽培技术攻关，进一步发挥示范基地辐射带动作用，推动科研成果转化为产业效益，带动周边农户增收致富，为区域农业产业高质量发展注入持久科技动能。（撰写：王润丰 核稿：李峰）","山东省农业科学院作物研究所 2026-10-20",62,{"impact":18,"substance":19,"depth":16,"authority":16,"freshness":296,"relevant":21,"comment":338},"省级科研院所与地方政府共建酿酒高粱示范基地的观摩培训活动，有实质内容但属常规院地合作动态，公共影响有限。",[340],{"name":335,"url":332},[301,342,343,344,345],"成果转化","院地合作","示范基地","酿酒高粱",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":13,"version":39,"method":40,"evidence":349},{"candidates":350,"agricultural_evidence":45},[351,355,361,367],{"code":31,"score":16,"supported":45,"title":352,"abstract":353,"tags":354},[139],[139],[345],{"code":356,"score":357,"supported":45,"title":358,"abstract":359,"tags":360},"G1",5,[],[342],[342,343],{"code":362,"score":185,"supported":45,"title":363,"abstract":364,"tags":366},"C",[],[365],"畜牧",[],{"code":320,"score":21,"supported":13,"title":368,"abstract":369,"tags":370},[],[],[301],[372,373],"山东省农科院 酿酒高粱 商河","金盆地 高粱示范基地","山东省农科院酿酒高粱商河-5514","2026-10-22T00:07:03.937590Z",{"id":377,"title":378,"url":379,"summary":380,"summary_zh":8,"content":381,"source_name":382,"source_url":8,"published_at":383,"category":292,"cover_url":8,"hotness":12,"is_selected":13,"score":384,"score_detail":385,"sources":387,"tags":389,"primary_topic":393,"secondary_topics":394,"classification":395,"search_phrases":427,"slug":430,"view_count":64,"doi":8,"paper":8,"created_at":431},5438,"河北农科院谷子所冀研谷3号在藁城实打测产 亩产 431.5 公斤 增产 13.2%","http:\u002F\u002Fhebnky.com\u002Fjishuzhidaoxinxi.aspx?jszdid=2226","河北省农林科学院谷子所、农机所联合石家庄市农技推广中心，2026 年在石家庄藁城留章建立 500 亩试验基地，为「藁城宫米」区域公用品牌储备专用品种资源。9 月 29 日专家组对冀研谷3号百亩单产提升示范田实打实收测产，亩产 431.5 公斤，较对照田增产 13.2%，亩节本增效 269.2 元。冀研谷3号是面向冀中南夏谷区选育的高产广适夏谷中熟品种，抗烯禾啶除草剂，适配麦茬夏播两熟制茬口。","藁城是谷子传统种植区和天然富硒小米优势产区，“藁城宫米”于2020年获中国国家地理标志证明商标，是河北省名优农产品区域公用品牌。区域公用品牌的持续壮大离不开优质专用品种的稳定支撑。藁城区此前已联合谷子所筛选培育出“宫米一号”专用品种。随着产业规模扩大和市场需求多元化，藁城宫米品种谱系需持续扩充。围绕这一目标，2026年，谷子所、农机所联合石家庄市农业技术推广中心，在藁城留章建立500亩试验基地，涵盖品种展示、宽窄行穴播、条播精量播种、中耕除草、叶面肥“一喷多促”及单产提升技术。\n\n藁城地处冀中南夏谷区，小麦收获后麦茬夏播是主要种植模式，对品种提出特殊要求：生育期要适配小麦—谷子两熟制时间窗口，抗除草剂能力要解决麦茬地杂草压力大的问题，品质要满足宫米加工对籽粒外观和食味的要求。冀研谷3号正是面向这一需求选育的夏谷中熟品种，高产广适，抗烯禾啶除草剂。以冀研谷3号为载体开展品种筛选与配套技术验证，旨在为宫米品牌储备“优质+专用+适播”的后备品种资源。基地采用搭载北斗导航系统的播种机，在谷子生长中后期，实施“一喷多促”技术，通过无人机一次喷施，同步实现防病治虫、促灌浆、促籽粒增重等多重效果。冀研谷3号百亩单产提升示范田自6月21日播种以来，从种到收实施精细管理，条播精量播种配合飞防“一喷多促”，形成了“良种+良法+良机”的技术组装模式。9月29日，专家组对冀研谷3号进行实打实收测产。示范田亩产431.5公斤，较对照田增产13.2%，亩节本增效269.2元。\n\n藁城留章示范田的院地联合实践，为宫米产业集群建设提供了可复制的工作路径。品种筛选的持续深化、配套技术的集成落地、科研院所与推广机构协同机制的有效运转，正在为这一目标提供从品种到技术、从田间到品牌的系统性支撑。","河北省农林科学院 2026-10-19","2026-10-19T00:00:00Z",75,{"impact":17,"substance":295,"depth":18,"authority":122,"freshness":296,"relevant":21,"comment":386},"省级科研机构发布的夏谷新品种实打测产数据具体，良种良法良机配套路径清晰，对区域公用品牌建设有示范价值，值得进入每日精选。",[388],{"name":382,"url":379},[301,390,343,391,392],"单产提升","谷子","藁城宫米",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":13,"version":39,"method":40,"evidence":396},{"candidates":397,"agricultural_evidence":45},[398,402,406,411,417,423],{"code":31,"score":16,"supported":45,"title":399,"abstract":400,"tags":401},[391],[391],[391],{"code":191,"score":311,"supported":45,"title":403,"abstract":404,"tags":405},[],[390],[390],{"code":356,"score":311,"supported":45,"title":407,"abstract":408,"tags":410},[],[409],"农技推广",[343],{"code":412,"score":185,"supported":45,"title":413,"abstract":414,"tags":416},"F4",[],[415],"除草",[],{"code":418,"score":185,"supported":45,"title":419,"abstract":420,"tags":422},"F5",[],[421],"农机",[],{"code":320,"score":21,"supported":13,"title":424,"abstract":425,"tags":426},[],[],[301],[428,429],"冀研谷3号 藁城 测产","河北农科院 谷子 宫米","冀研谷3号藁城测产-5438","2026-10-21T00:10:01.499899Z",{"id":433,"title":434,"url":435,"summary":436,"summary_zh":8,"content":437,"source_name":438,"source_url":8,"published_at":226,"category":292,"cover_url":8,"hotness":12,"is_selected":13,"score":439,"score_detail":440,"sources":442,"tags":444,"primary_topic":445,"secondary_topics":446,"classification":447,"search_phrases":462,"slug":463,"view_count":64,"doi":8,"paper":8,"created_at":464},5430,"山东农科院作物所在商河举办第四届「红高粱·庆丰收」观摩培训会","https:\u002F\u002Fnew.qq.com\u002Frain\u002Fa\u002F20261020A09WCE00","10 月 18 日，第四届「红高粱·庆丰收」山东省酿酒高粱新品种新技术现场观摩培训会在商河县金盆地高粱种植示范基地举办，由山东省农科院作物所联合山东省白酒协会、商河县政府主办。国家谷子高粱产业技术体系济南综合试验站站长、作物所杂粮团队首席专家张华文研究员围绕酿酒高粱新品种选育进展与标准化高产栽培技术开展田间培训。作物所为基地负责人颁发「科技成果转化专员」聘书，双方签署酿酒高粱试验示范基地共建协议，50 余人参加。","秋染良田，红粱飘香。为加快酿酒高粱新品种新技术成果转化，深化院地产学研协同创新，10月18日，第四届“红高粱・庆丰收”山东省酿酒高粱新品种新技术现场观摩培训会在商河县金盆地高粱种植示范基地成功举办。\n\n本次活动由山东省农业科学院作物研究所联合山东省白酒协会、商河县人民政府共同主办，商河县委组织部、县农业农村局、县人社局、县科协、县广播电视台、龙桑寺镇人民政府承办，商河县金盆地家庭农场协办。省内外酿酒企业、畜牧企业代表，部分家庭农场、合作社及高粱种植大户50余人共同参加活动。活动以酿酒高粱试验示范基地建设为核心，搭建科研成果落地田间的转化平台，集中展示我所酿酒高粱育种与栽培技术最新成果。\n\n国家谷子高粱产业技术体系济南综合试验站站长、山东省农科院作物研究所杂粮团队首席专家张华文研究员在田间地头开展技术培训，围绕酿酒高粱新品种选育进展、标准化高产栽培技术、产业发展现状与趋势等核心内容，与参会的种植大户、企业代表开展现场教学、互动交流与专题研讨，针对性解答生产一线实际问题，推动良种良法直送生产端。\n\n山东省农业科学院副院长刘开昌、山东省白酒协会秘书长李浩然、商河县副县长任明光等致辞，山东省农业科学院作物研究所党委书记赵海军为金盆地家庭农场负责人史益民颁发“科技成果转化专员”聘书，双方共同签署酿酒高粱试验示范基地共建协议，搭建起长期稳定的科研合作纽带。\n\n随后，与会同志共同为开镰仪式剪彩，标志着示范基地高粱正式进入丰收收割阶段。仪式结束后，与会人员深入田间开展现场观摩，参观了酿酒高粱新品种示范田。张华文现场详细讲解了作物所选育的酿酒高粱品种特征特性、产量表现及配套轻简栽培技术，直观展示了科研成果的应用成效与产业价值。\n\n本次活动是山东省农业科学院作物研究所深化院地合作、推进科技成果转化的重要实践。商河金盆地高粱示范基地作为院地共建的核心载体，已成为科研人才下沉一线、新品种新技术落地推广的田间阵地，有效打通了科研与生产的衔接通道。下一步，山东省农业科学院作物研究所将以此次合作为契机，持续发挥科研人才与技术优势，深化与金盆地家庭农场的产学研协同，持续开展酿酒高粱新品种试验与栽培技术攻关，进一步发挥示范基地的辐射带动作用，推动科研成果转化为实实在在的产业效益，带动周边农户增收致富，为区域农业产业高质量发展注入持久科技动能。","山东省农业科学院 2026-10-20",57,{"impact":16,"substance":19,"depth":44,"authority":16,"freshness":296,"relevant":21,"comment":441},"省级科研机构主办的院地合作观摩培训活动，有实质技术培训与基地共建内容，但属常规推广动态，影响限于区域细分产业。",[443],{"name":438,"url":435},[301,342,343,344,345],{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":13,"version":39,"method":40,"evidence":448},{"candidates":449,"agricultural_evidence":45},[450,454,458],{"code":31,"score":243,"supported":45,"title":451,"abstract":452,"tags":453},[139],[139,391],[345],{"code":356,"score":357,"supported":45,"title":455,"abstract":456,"tags":457},[],[342],[342,343],{"code":320,"score":21,"supported":13,"title":459,"abstract":460,"tags":461},[],[],[301],[372,373],"山东省农科院酿酒高粱商河-5430","2026-10-21T00:10:00.883458Z"]