[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-4154":3,"related-4154":92},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":8,"source_name":9,"source_url":8,"published_at":10,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":14,"score_detail":15,"sources":23,"tags":25,"primary_topic":31,"secondary_topics":37,"classification":38,"search_phrases":76,"slug":79,"view_count":80,"doi":8,"paper":81,"created_at":91},4154,"数字能力对粮食绿色生产效率的影响研究——以西南、西北和黄淮海玉米主产区为例","http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F176913.html","杨燕、马凯旋、杨钰莹、司伟（干旱区资源与环境2026年第09期；宁夏大学农学院、宁夏大学经济管理学院、中国农业大学经济管理学院）。基于537个玉米种植户的调研数据，采用超效率SBM模型测算玉米绿色生产效率，并运用双重机器学习模型实证分析数字能力对玉米绿色生产效率的影响。研究发现：1)数字能力能够显著提升玉米绿色生产效率（经缩尾、更换分割样本比例、替换机器学习算法及替换核心解释变量等稳健性检验）；2)机制分析表明数字能力通过产前增强绿色认知、产中推动技术采纳和产后强化价格响应提升玉米绿色生产效率；3)异质性分析表明数字能力对绿色生产效率的提升作用在基础设施条件较好及使用社会化服务的农户中更为显著。",null,"干旱区资源与环境2026年第09期","2026-10-01T00:00:00Z","论文",10,false,78,{"impact":16,"substance":17,"depth":18,"authority":19,"freshness":20,"relevant":21,"comment":22},16,22,18,14,8,1,"基于537户玉米种植户调研，用双重机器学习实证数字能力提升粮食绿色生产效率的机制与异质性，方法新、数据实，对数字乡村与绿色农业政策有参考价值。",[24],{"name":9,"url":6},[26,27,28,29,30],"数字乡村","数字能力","农业社会化服务","玉米主产区","粮食绿色生产",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},"A3","maize","玉米","\u002Ftopic\u002Ffield-crops\u002Fmaize","A",[],{"status":39,"locked":13,"version":40,"method":41,"evidence":42},"classified","2026-10-22.2","rules",{"candidates":43,"agricultural_evidence":46},[44,50,57,64,70],{"code":32,"score":45,"supported":46,"title":47,"abstract":48,"tags":49},11,true,[34],[34],[],{"code":51,"score":52,"supported":46,"title":53,"abstract":54,"tags":56},"G2",4,[],[55],"社会化服务",[28],{"code":58,"score":59,"supported":46,"title":60,"abstract":61,"tags":63},"H7",3,[],[62],"干旱",[],{"code":65,"score":59,"supported":46,"title":66,"abstract":67,"tags":69},"I2",[],[68],"机器学习",[],{"code":71,"score":72,"supported":13,"title":73,"abstract":74,"tags":75},"I6",2,[],[],[26,27],[77,78],"西南 西北 黄淮海 玉米主产区","数字能力 玉米绿色生产效率","西南西北黄淮海玉米主产区-4154",5,{"doi":8,"openalex_id":8,"authors":82,"venue":8,"cited_by_count":83,"oa_url":8,"card":84,"direction":88,"ingested_from":90},[],0,{"tldr":85,"method":86,"finding":87,"direction":88,"opportunity":89},"基于537个玉米种植户调研，研究数字能力对粮食绿色生产效率的影响。","超效率SBM模型测算绿色生产效率，双重机器学习模型实证分析。","数字能力显著提升玉米绿色生产效率，通过绿色认知、技术采纳和价格响应起作用。","农业绿色发展与碳","可探究数字能力在不同作物与区域间的异质性机制，及社会化服务的中介作用。","agent","2026-10-04T00:09:09.809114Z",{"total":93,"page":21,"page_size":93,"items":94},6,[95,182,262,305,350,402],{"id":96,"title":97,"url":98,"summary":99,"summary_zh":100,"content":8,"source_name":101,"source_url":98,"published_at":102,"category":11,"cover_url":8,"hotness":103,"is_selected":13,"score":104,"score_detail":105,"sources":109,"tags":114,"primary_topic":118,"secondary_topics":119,"classification":126,"search_phrases":157,"slug":160,"view_count":83,"doi":161,"paper":162,"created_at":181},4416,"Agricultural blockchain readiness environment and carbon emission intensity in maize production: evidence from provincial panel data in major maize-producing areas of China","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1942225","China’s major maize-producing regions face the joint challenge of sustaining food production and reducing agricultural emissions. Existing research on digital agriculture often uses broad digitalization measures and therefore does not distinguish the regional conditions that may enable information management, traceability, and verification applications associated with blockchain. This study constructs an Agricultural Blockchain Readiness Environment Index (ABRE Index, block_index) using entropy weighting across digital infrastructure, the agricultural industrial base, and policy support. The index measures regional readiness and enabling conditions rather than realized blockchain adoption. Using 180 province-year observations for 12 major maize-producing provinces from 2010 to 2024, we estimate two-way fixed-effects models with province-clustered inference and conduct supplementary robustness analyses. The ABRE Index is negatively associated with carbon emissions per unit of maize-sown area, with the baseline coefficient statistically significant at the 10% level under conventional clustered inference and supported by supplementary inference procedures. The coefficient remains negative in all 12 leave-one-out specifications, is statistically significant at the 10% level or better in 10 specifications, and the wild cluster bootstrap test yields p = 0.0415. The index is positively correlated with blockchain-related patent activity ( r = 0.1883, p = 0.0114), although this correlation does not establish that the index measures realized adoption. The mechanism analysis is consistent with an organizational pathway through agricultural socialized services: the ABRE Index is positively associated with service_ratio (0.1099, p \u003C 0.01), and agricultural socialized services are negatively associated with ce_area (−2.2765, p \u003C 0.05). The interaction with the high-development indicator is negative but does not reach the conventional 10% significance threshold (−0.1499, p = 0.103). Overall, the evidence supports an associational relationship between blockchain-readiness conditions and maize-production carbon-emission intensity; it does not establish a strictly causal effect of blockchain adoption.","中国主要玉米产区面临保障粮食生产与减少农业排放的双重挑战。现有数字农业研究多采用宽泛的数字化指标，因而未能区分可能支撑与区块链相关的信息管理、追溯和验证应用的区域条件。本研究基于数字基础设施、农业产业基础和政策支持三个维度，采用熵权法构建了农业区块链就绪环境指数（ABRE Index，block_index）。该指数衡量的是区域就绪程度和使能条件，而非已实现的区块链采用。利用2010年至2024年12个主要玉米生产省份的180个省份—年份观测值，我们估计了双向固定效应模型，采用省份聚类推断，并进行了补充稳健性分析。ABRE指数与单位玉米播种面积碳排放呈负相关，基准系数在常规聚类推断下于10%水平上统计显著，并得到补充推断程序的支持。在全部12个逐一剔除（leave-one-out）设定中，该系数均保持为负，其中10个设定在10%或更优水平上统计显著，野生聚类自举检验（wild cluster bootstrap test）得出p = 0.0415。该指数与区块链相关专利活动呈正相关（r = 0.1883，p = 0.0114），尽管这一相关性并不能证明该指数衡量的是已实现的采用。机制分析与通过农业社会化服务发挥作用的组织路径相一致：ABRE指数与service_ratio呈正相关（0.1099，p \u003C 0.01），农业社会化服务与ce_area呈负相关（−2.2765，p \u003C 0.05）。与高发展指标的交互项为负，但未达到常规10%显著性阈值（−0.1499，p = 0.103）。总体而言，证据支持区块链就绪条件与玉米生产碳排放强度之间存在关联关系；但并未确立区块链采用的严格因果效应。","Frontiers in Sustainable Food Systems","2026-10-07T00:00:00Z",25,80,{"impact":18,"substance":17,"depth":18,"authority":106,"freshness":107,"relevant":21,"comment":108},13,9,"基于12个玉米主产省2010—2024年面板数据构建农业区块链就绪环境指数，发现其与玉米碳排放强度负相关，方法规范、数据规模可观，但结论仅为关联性而非因果，属细分领域实证进展。",[110,111],{"name":101,"url":98},{"name":112,"url":113},"Frontiers in Sustainable Food Systems 2026 年 10 月 07 日 Volume 10 Sec. Land, Livelihoods and Food Security","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1942225\u002Ffull",[26,115,34,116,117],"智慧农业","农业碳排放","区块链",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[120],{"code":121,"slug":122,"name":123,"path":124,"parent_code":125},"H4","carbon","农业碳与绿色低碳","\u002Ftopic\u002Fenvironment\u002Fcarbon","H",{"status":39,"locked":13,"version":40,"method":41,"evidence":127},{"candidates":128,"agricultural_evidence":46},[129,134,141,149,153],{"code":32,"score":130,"supported":46,"title":131,"abstract":132,"tags":133},15,[33],[34,33],[34],{"code":121,"score":135,"supported":46,"title":136,"abstract":138,"tags":140},12,[137],"carbon emission",[139],"碳排放",[116],{"code":142,"score":143,"supported":46,"title":144,"abstract":145,"tags":148},"I1",7,[],[146,147],"数字农业","digital agriculture",[115],{"code":51,"score":59,"supported":46,"title":150,"abstract":151,"tags":152},[],[55],[],{"code":71,"score":21,"supported":13,"title":154,"abstract":155,"tags":156},[],[],[26],[158,159],"农业区块链 玉米 碳排放","玉米主产区 区块链 碳强度","农业区块链玉米碳排放-4416","10.3389\u002Ffsufs.2026.1942225",{"doi":161,"openalex_id":163,"authors":164,"venue":101,"cited_by_count":83,"oa_url":173,"card":174,"direction":179,"ingested_from":180},"W7220869193",[165,168,170],{"name":166,"orcid":167},"Pengfei Zhou","https:\u002F\u002Forcid.org\u002F0000-0003-2117-7967",{"name":169,"orcid":8},"Zhiyi Hu",{"name":171,"orcid":172},"Yang Shen","https:\u002F\u002Forcid.org\u002F0000-0002-6781-6915","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1942225\u002Fpdf",{"tldr":175,"method":176,"finding":177,"direction":88,"opportunity":178},"构建农业区块链就绪环境指数，分析其与玉米生产碳排放强度的关联。","熵权法构建ABRE指数，用2010-2024年12省面板数据做双向固定效应模型。","ABRE指数与玉米单位播种面积碳排放负相关，机制可能通过农业社会化服务实现。","可探究区块链就绪环境通过社会化服务减碳的因果机制，并拓展到其他主粮作物或区域。","智慧农业 \u002F 农业物联网","openalex","2026-10-08T23:30:07.668939Z",{"id":183,"title":184,"url":185,"summary":186,"summary_zh":8,"content":187,"source_name":188,"source_url":8,"published_at":189,"category":190,"cover_url":8,"hotness":12,"is_selected":13,"score":191,"score_detail":192,"sources":195,"tags":197,"primary_topic":202,"secondary_topics":207,"classification":214,"search_phrases":257,"slug":260,"view_count":20,"doi":8,"paper":8,"created_at":261},3100,"秋实满田 智赋丰年——中国移动(成都)产业研究院\"谷丰登\"农业大模型赋能山西大同玉米单产提升试点亩产 2481 斤较非试点增产 15.5%","https:\u002F\u002Fiot.youth.cn\u002Fyw\u002F202609\u002Ft20260921_16881000.htm","9-21 中国青年网物联网频道报道中国移动(成都)产业研究院秋收赋能：以\"九天大模型\"为底座自主研发\"谷丰登\"农业大模型、构建覆盖土壤分析\u002F品种优选\u002F精准水肥药方案\u002F产量预估全生命周期服务体系；联合中储粮打造行业首个储粮场景大模型\"稷元\"已落地 3 个中央储备粮库，粮食储存损失降至 0.2% 以下、化学药剂年使用量减少 1-2 次；牵头制定《农业大模型高质量数据集》《农业种植大模型应用测评规范》两项团体标准。山西大同玉米单产提升标杆项目依托空天地一体化监测+北斗高精定位+农业大模型实现玉米耕种管收全流程无人化作业，试点田亩产 2481 斤较非试点增产 15.5%，被农业农村部评为\"全国智慧农业建设典型案例\"。","九月的田野，稻菽飘香，又是一年丰收时。\n\n随着“十五五”规划的全面实施，农业农村现代化建设蹄疾步稳。传统“看天吃饭”的农业生产模式正在被改写，数字技术驱动下，丰收迎来科技赋能、全链提质、数智增效的全新发展阶段。\n\n当前正值金秋丰收的关键时期，中国移动（成都）产业研究院（以下简称“成研院”）充分发挥科技引领作用，贯通智慧种养、智能储粮、数字治理、产销对接全业务链路，推动数字技术与农业生产融合走深走实，为国家粮食安全与乡村全面振兴注入强劲数字动能。\n\n**科技强农：打造从田间到粮仓的“智慧大脑”**\n\n成研院聚焦AI育种创新、种植生产管理与粮食仓储等关键环节，以中国移动“九天大模型”为底座，自主研发谷丰登农业大模型，构建起全周期、智能化的农业生产服务体系，打造扎根田野的“身边的农业知识专家”。\n\n“藏粮于技”的关键，在于让技术真正下沉到田间地头。成研院打造国内首个种植综合农业大模型，覆盖土壤分析、品种优选、精准水肥药方案、产量预估等全生命周期服务，实现“信息随手握、种养全程导、在线有人帮”。在山西大同玉米单产提升标杆项目中，成研院构建“良田、良种、良机、良法”融合体系，依托空天地一体化监测、北斗高精定位与农业大模型三大核心能力，实现玉米耕、种、管、收全流程无人化作业。当年秋收，试点田亩产达2481斤，较非试点区域增产15.5％，被农业农村部评为“全国智慧农业建设典型案例”。\n\n丰产更要保收，储粮减损是守住丰收成果、保障粮食安全的关键一环。成研院联合中储粮打造行业首个储粮场景大模型“稷元”，内置二十余万条储粮知识单元及千余本专业文献，结合智能语音助手“粮小助”，实时采集、动态监测各类粮情核心指标，智能预判粮情变化趋势，提前预警仓储虫害风险，自动生成仓储调控最优方案，同时采用一体化集成设计，适配粮库现有系统，实现核心业务在库内闭环处理，严守粮食仓储信息安全底线。目前，“稷元”大模型已在中储粮三个中央储备粮库落地，粮食储存损失降至0.2%以下，化学药剂年使用量减少1—2次，大幅提升粮食仓储安全水平，守住丰收成果、筑牢储粮安全防线。\n\n此外，成研院牵头制定《农业大模型高质量数据集》《农业种植大模型应用测评规范》两项团体标准，填补行业规范空白，为大模型规范化、规模化应用筑牢基础。\n\n![Image 1](https:\u002F\u002Fiot.youth.cn\u002Fyw\u002F202609\u002FW020260921554681104915.png)\n\n![Image 2](https:\u002F\u002Fiot.youth.cn\u002Fyw\u002F202609\u002FW020260921554681314335.png)\n\n**数字惠农：激活基层治理民生温度**\n\n成研院以数字技术创新破解基层治理痛点、赋能民生服务、激活乡村发展动能，推动数字技术真正扎根田野、服务农民。\n\n在传承着焦裕禄精神的河南兰考葡萄架乡，成研院打造的数字乡村平台全面落地应用。平台贯通乡、村两级业务全链条，整合民政、社保、农业等多部门数据资源，实现“一次采集、多方复用”。平台提供20余项高频服务“掌上办”，让“数据多跑路、群众少跑腿”，并依托AI智能预警，推动基层治理高效化、智能化。目前，平台已覆盖全乡20个行政村，累计收录人口数据超3万条，助力基层干部事务性工作量降低60%以上，实现网格管理一屏总览、AI智能安防实时监测、积分激励激活村民参与，打通基层治理“最后一公里”。\n\n在甘肃积石山县团结村，智慧乡村大脑聚焦民族地区灾后重建与乡村振兴，集成灾后重建、乡村振兴、民族团结、服务治理、综合监测五大模块，一屏统揽耕地分布、帮扶进展、集体经济、群众诉求等村庄“家底”，为村委科学决策提供精准支撑。同时，村里为50户重点关爱家庭免费安装一键呼叫终端，直连紧急救助与亲情通话，让乡村治理更有精度与温度。\n\n**产业富农：搭建产销双向联通桥梁**\n\n从培育乡村产业带头人到打通农产品出村进城通道，成研院以数字技术为纽带，一头连着田间地头的生产者，一头连着广阔市场的消费者，让好产品卖出好价钱，让乡村产业真正活起来、强起来。\n\n作为农业农村部“头雁”项目的技术支撑方，成研院为“头雁”人才培育系统提供的全方位信息化支撑。目前，“头雁”平台已覆盖全国31省份，累计服务7万余名乡村产业带头人，为乡村培育“造血种子”。\n\n如果说头雁工程是为乡村培育“造血种子”，那么“陆海优品公共服务平台”就是为乡村产业打通“出村进城、走向世界”的黄金通道。平台开设免费电商、直播、品控等培训，助力800多万农民转型“新农人”，推动中国移动对口帮扶的五省（区）八县、成渝地区双城经济圈特色农产品实现精准产销对接。目前，平台已带动超2000万元消费帮扶、实现3亿元农产品出口额，服务全国超600万用户，以数智力量畅通国内国际双循环。\n\n丰收，不再只是田野里的金黄稻浪，更是数据流中奔涌的智慧动能。当技术真正扎根泥土，当数字红利真正惠及农民，丰收便有了更坚实的支撑，乡村便有了更持久的活力。面向未来，成研院将继续以数智之力深耕沃土，让“藏粮于技”落地生根，让“数字乡村”可感可及，在广袤田野上书写属于新时代的丰收故事。","中国青年网","2026-09-21T00:00:00Z","报道",84,{"impact":193,"substance":17,"depth":16,"authority":106,"freshness":107,"relevant":21,"comment":194},24,"央媒报道的农业大模型落地标杆案例，含亩产2481斤、增产15.5%、储粮损失降至0.2%等硬数据，产业示范价值突出，值得进入每日精选。",[196],{"name":188,"url":185},[26,115,198,199,200,201],"农业人工智能","农业大模型","玉米单产提升","粮食仓储",{"code":203,"slug":204,"name":205,"path":206,"parent_code":36},"A8","yield-food-security","单产提升与粮食安全","\u002Ftopic\u002Ffield-crops\u002Fyield-food-security",[208,213],{"code":65,"slug":209,"name":210,"path":211,"parent_code":212},"agricultural-ai","农业AI与大模型","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-ai","I",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},{"status":39,"locked":13,"version":40,"method":41,"evidence":215},{"candidates":216,"agricultural_evidence":46},[217,222,227,231,235,241,247,253],{"code":203,"score":106,"supported":46,"title":218,"abstract":220,"tags":221},[219],"单产提升",[219],[200,201],{"code":65,"score":106,"supported":46,"title":223,"abstract":225,"tags":226},[224],"大模型",[224],[198,199],{"code":32,"score":135,"supported":46,"title":228,"abstract":229,"tags":230},[34],[34],[200],{"code":142,"score":52,"supported":46,"title":232,"abstract":233,"tags":234},[],[115],[115],{"code":236,"score":59,"supported":46,"title":237,"abstract":238,"tags":240},"H2",[],[239],"土壤",[],{"code":242,"score":59,"supported":46,"title":243,"abstract":244,"tags":246},"I5",[],[245],"物联网",[],{"code":248,"score":59,"supported":46,"title":249,"abstract":250,"tags":252},"J4",[],[251],"秋收",[],{"code":71,"score":21,"supported":13,"title":254,"abstract":255,"tags":256},[],[],[26],[258,259],"中国移动 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18个新品种展示试验","https:\u002F\u002Fwww.faas.cn\u002Fcms\u002Fhtml\u002Ffjsnykxy\u002F2026-10-19\u002F1737633201.html","10月14日作物所副所长廖长见研究员带队赴邵武市开展鲜食玉米科技服务。当地引进甜糯玉米、热带黄甜玉米、亚热带双色甜玉米、温带甜玉米四大类型共18个新品种进行展示试验，「闽双色10号」作为重点品种开展大面积示范种植，专家现场讲解各品种产量品质抗逆优势并指导草地贪夜蛾与叶斑病防控。","10月14日，作物所副所长廖长见研究员带队赴邵武市开展鲜食玉米科技服务，加快新品种推广应用，以科技赋能助力邵武市鲜食玉米产业提质增效。\n\n受建瓯鲜食玉米产业辐射带动，邵武市鲜食玉米种植规模逐年扩增，成为带动农户增产增收的特色新兴作物。但产业快速发展的同时，也暴露出部分品种与本地气候条件适配不足、配套栽培技术不够成熟等问题，当地农技推广机构与种植户对优良种源、标准化种植技术的需求愈发迫切。2026年秋季，邵武市农业农村局依托作物所，引进甜糯玉米、热带黄甜玉米、亚热带双色甜玉米、温带甜玉米四大类型，包括“闽甜986”、“闽双色10号”、“华闽甜糯1号”等共18个新品种进行展示试验，其中“闽双色10号”作为重点品种开展大面积示范种植。\n\n廖长见研究员一行深入品种展示与示范种植基地，实地察看18个新品种田间生长表现，了解当地农户种植习惯与实际生产需求；围绕鲜食玉米生产关键环节，现场讲解各新品种在产量、品质、抗逆性上的突出优势及不同类型品种的关键配套栽培管理技术；针对近期秋季持续高温干旱、玉米正值授粉关键期的生产现状，重点指导农户科学追施攻苞肥，抓好草地贪夜蛾、叶斑病等重大病虫害防控，抓实秋季鲜食玉米后期田间管理，打通技术落地“最后一公里”，全力保障种植户丰产增收。\n\n此次科技服务，既详细调研了邵武鲜食玉米产业发展脉络与潜力，也现场解决了当地在种植方面存在的部分技术难题。下一步，作物所将持续深化与邵武市农技推广部门的协同合作，聚焦产业发展难点，持续输出科技方案，为当地特色新兴产业高质量发展筑牢科技支撑。","福建省农业科学院 2026-10-19","2026-10-19T00:00:00Z",59,{"impact":135,"substance":16,"depth":135,"authority":106,"freshness":93,"relevant":21,"comment":272},"省级科研机构开展的地市级科技服务与品种展示，有具体品种与技术细节，但影响范围限于区域，时效性一般，可作常规资讯而非每日精选。",[274],{"name":268,"url":265},[276,277,278,279,280],"种业振兴","福建","鲜食玉米","科技服务","品种展示",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":13,"version":40,"method":41,"evidence":284},{"candidates":285,"agricultural_evidence":46},[286,290,295],{"code":32,"score":135,"supported":46,"title":287,"abstract":288,"tags":289},[34],[34],[278],{"code":291,"score":21,"supported":13,"title":292,"abstract":293,"tags":294},"F1",[],[],[276],{"code":296,"score":21,"supported":13,"title":297,"abstract":298,"tags":299},"G1",[],[],[279],[301,302],"福建农科院 鲜食玉米 邵武","闽双色10号 鲜食玉米","福建农科院鲜食玉米邵武-5527","2026-10-22T00:07:04.884142Z",{"id":306,"title":307,"url":308,"summary":309,"summary_zh":8,"content":310,"source_name":311,"source_url":8,"published_at":312,"category":190,"cover_url":8,"hotness":12,"is_selected":13,"score":313,"score_detail":314,"sources":317,"tags":319,"primary_topic":323,"secondary_topics":324,"classification":325,"search_phrases":345,"slug":348,"view_count":83,"doi":8,"paper":8,"created_at":349},5518,"河北农林科学院玉米抗病性鉴定开放日 AR智能眼镜助力分级定级","https:\u002F\u002Fwww.cfsn.cn\u002Fnews\u002Fdetail\u002F345\u002F371985.html","河北省农林科学院植物保护研究所主办2026年黄淮海玉米抗病性鉴定田间开放日。作为全国玉米抗病性鉴定牵头单位，该所推进智能化技术嫁接鉴定工作，引入AR智能眼镜拍照自动标注叶片病斑率并判定严重度等级，支持语音控制与后台批量导出，另探索无人机悬停拍照系统开展规模化快速调查。","金秋时节，冀中平原玉米长势喜人、丰收在望。近日，由河北省农林科学院植物保护研究所主办的“2026年黄淮海玉米抗病性鉴定田间开放日”活动在河北省保定市顺利举行。来自玉米育种、植保、种业企业等领域的领导、专家和同仁齐聚一堂，围绕玉米抗病性鉴定标准化、智能化与精准化展开深入交流与现场观摩。\n\n河北省农林科学院植物保护研究所副所长吴玉星表示，玉米抗病性鉴定是育种升级和品种审定推广的必要环节，对保障粮食安全具有重要意义。河北省农林科学院植物保护研究所作为全国玉米抗病性鉴定的牵头单位，严格按照国家标准规范布局、统一试验，全程实行标准化操作程序，确保每一项数据真实、准确、公正。他强调，团队将继续恪守公平、公正、科学、严谨的工作原则，不断优化试验方案，为各试验单位提供优质高效的抗病性鉴定服务，助力优良玉米品种替代升级和高质量发展。\n\n活动期间，河北省农林科学院植物保护研究所研究员石洁结合多年田间鉴定实践，介绍了当前玉米抗病性鉴定面临的现实挑战。她指出，黄淮海地区玉米病害种类多、调查面积大、工作强度高，仅靠人工逐品种、逐病害调查，骨干人员长期在田间超负荷工作，难以满足规模化、精准化鉴定需求。为此，团队积极推动智能化技术嫁接到抗病性鉴定工作中，着力实现数据实时采集、结果直接反馈和精准分级。\n\n北京金禾天成科技有限公司有关负责人介绍了通过AR智能眼镜识别玉米病害及判定严重度等级技术。该技术通过拍照识别，自动标注每片叶片的病斑率和整张图片的病斑率，并给出严重度等级判定，拍照后自动保存识别结果和原图，支持现场快速呈现结果和后台批量导出。系统还可按品种编号自动对应品种名称，支持人工校正和后续复核，有效减轻调查人员劳动强度，提升鉴定效率和标准化水平。\n\n石洁告诉记者，团队正在积极协助研发和应用AR智能眼镜技术，用于玉米叶斑病、穗腐病等病害的精准分级。该设备支持语音控制，可解放双手，在田间行走过程中即可完成“所见即所得”的病情定级，并实时反馈数据。相比传统人眼判断，智能眼镜能够提供更精细的数量化级别，满足抗性基因定位等研究对定量数据的需求。此外，团队还在积极探索无人机高空悬停拍照系统，用于茎腐病、矮花叶病等病害的规模化快速调查，进一步提升鉴定效率。\n\n活动现场还展示了快速检测技术在玉米病害防控中的应用。石洁介绍，该技术可在病害尚未发病的叶片上，通过棉签擦拭、裂解液处理和便携设备检测，30分钟内常温下判断叶片是否携带孢子或已被病原菌侵入。目前可检测病理上几乎所有病害（病毒病除外），包括南方锈病、穗腐病、弯孢叶斑病、瘤黑粉病等。荧光定量PCR版本一次可同时检测8种病原菌，帮助种植大户和种业企业据检测结果用药，实现“检防联动”，从普惠性预防用药转向按需防控、对靶施药、早防早治，大幅节省农药和飞防成本。\n\n本次开放日活动全面开放观摩现场，与会代表近距离了解了玉米抗病性鉴定从试验设计、田间管控、症状跟踪到数据调查的全流程。大家一致认为，智能化鉴定技术和快速检测技术的推广应用，将有力推动黄淮海玉米抗病性鉴定工作向精准化、标准化、高效化迈进，为玉米产业高质量发展保驾护航。（王田）","中国食品安全网 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玉米亩产1376.9公斤","https:\u002F\u002Fieda.caas.cn\u002Fxwzx\u002Fxzjl\u002F6365a18c2bc34a96863196ccf9e34af0.htm","国家重点研发计划「黑土地抗干旱冷害减灾增效关键技术与示范」项目在吉林大安开展测产观摩，核心示范田玉米产量达13768.8公斤每公顷，较传统垄作增产20.48%。示范区连续三年增产，从2024年12510.7公斤每公顷提升至2026年13768.8公斤每公顷，在春旱导致发芽率降低12.9%的背景下实现抗旱增产。","10月10日，由国家重点研发计划项目“黑土地抗干旱冷害减灾增效关键技术与示范”玉米现场测产与成果展示观摩会在项目示范区之一的吉林省大安市烧锅镇乡举行。经专家现场测产，项目集成技术模式核心示范田的玉米产量达到13768.8公斤\u002F公顷，较传统垄作增产20.48%，验证了研发技术模式应对主粮作物干旱与冷害胁迫实现减灾增效与地力协同提升的可行性。\n\n松嫩平原西部地区农田土壤瘠薄、春播期易遭遇干旱和低温冷害，影响玉米出苗及稳产。针对这一难题，在中国农业科学院农业环境与可持续发展研究所退化及及污染农田修复团队曾希柏研究员的带领下，团队研发集成了瘠薄黑土分层培肥、保墒增温等关键技术，并结合抗旱耐密农作物品种筛选，集成条耕宽窄行秸秆还田、浅埋滴灌水肥一体化、绿色病虫害防控和全程机械化等技术措施，有效破解了播前干旱、低温导致玉米发芽率低，以及耕层变浅、有机质降低、地力逐年下降等导致农作物生长不良和产量低下等问题，显著提升了作物抵御干旱、冷害等逆境胁迫的能力，降低了灾害损失，在2026年春旱严重、玉米发芽率较往年降低12.9%、减产17.1%的前提下，通过项目研发技术的示范应用，实现了作物抗旱增产的目标，为保障松嫩平原粮食主产区稳产丰产、减灾增效提供了有力支撑。\n\n团队依托中国科学院东北地理与农业生态研究所在大安市烧锅镇乡富国村建立了千亩示范区，已连续三年开展定位试验与效果验证。项目组研发的技术模式在近年极端气候条件影响下表现突出： 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公斤，刷新云南省玉米高产纪录。","10月16日是第46个世界粮食日。素有“滇东粮仓”之称的曲靖市，万亩田畴铺金、稻菽飘香。从陆良坝子到沾益山地，高标准农田内机声隆隆，良种良法绘就的丰收图景徐徐展开。\n\n作为云南粮食生产第一大市，曲靖今年压紧压实粮食安全党政同责，严守耕地保护红线，持续推动高标准农田提质增效，深入实施粮油单产提升、粮经协作、大豆油料扩面“三大工程”，把良种繁育、全程机械化、绿色防控等关键技术落到田间地头。同时，依托高原特色农业优势，曲靖持续优化粮经种植结构、产业结构和品种结构，推动农业生产从单纯追求增产向量质并重、提质增效转型。全市大力推广“一地多产、一年多熟”高效种植模式，深化烟粮协同发展，充分释放耕地复合产能。\n\n走进陆良县召夸镇下赛村，连片玉米秆青穗饱，正是开镰测产的关键节点。云南省农业科学院粮食作物研究所组织专家组，在此开展玉米单产提升示范项目现场测产验收。经实测，下赛村示范区百亩攻关田平均亩产达742.33公斤，较周边对照田平均亩产增长2%。\n\n“近年来，陆良县持续推进玉米单产提升，我们紧扣当地气候、土壤和农户种植习惯遴选品种，再依据品种特性确定种植密度，测产结果令人鼓舞。”云南省农科院粮食作物研究所研究员陈洪梅说。\n\n“今年，我们聚力推进粮食单产提升、粮经协同发展‘两个大面积工程’，玉米、旱地优质稻、油菜等作物生产取得明显突破。”曲靖市农业农村局种植业与农药管理科工作人员何翔介绍。\n\n今年以来，曲靖市深入实施“藏粮于地、藏粮于技”战略，精准对接国家和省级粮食单产提升政策，全力争取项目资金支持，统筹推进粮食单产提升工程建设。2026年，全市共有5个县获批实施玉米单产提升工程项目，累计落地粮油增产项目60.82万亩，良种良法覆盖率显著提升。罗平县3000亩旱地优质稻示范片，实测平均亩产达531.6公斤；沾益区菱角乡千亩玉米高产核心区，核心地块亩产达1399.8公斤，刷新云南省玉米高产纪录。\n\n7730952026-10-16 10:11:28:0本报记者张静芸  李劲松守牢耕地红线  夯实粮仓根基曲靖市科技沃野描“丰”景——128经济新闻经济新闻\n\nhttps:\u002F\u002Fwww.qjrb.cn\u002Fcontent\u002F202610\u002F16\u002Fc773095.htmlhttps:\u002F\u002Fwap.qjrb.cn\u002Fcontent\u002F202610\u002F16\u002Fc773095.html曲靖日报素有“滇东粮仓”之称的曲靖市，万亩田畴铺金、稻菽飘香。云南省农科院粮食作物研究所研究员陈洪梅说。曲靖市农业农村局种植业与农药管理科工作人员何翔介绍。罗平县3000亩旱地优质稻示范片，实测平均亩产达531.6公斤；沾益区菱角乡千亩玉米高产核心区，核心地块亩产达1399.8公斤，刷新云南省玉米高产纪录。10\u002Fenpproperty-->","曲靖日报 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