[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2623":3,"related-2623":80},{"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":22,"tags":24,"primary_topic":8,"secondary_topics":30,"classification":31,"search_phrases":59,"slug":62,"view_count":63,"doi":64,"paper":65,"created_at":79},2623,"Technology adoption, varietal preferences and disease resistance: A systems perspective on management decisions in Australian grain production","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.agsy.2026.104972","Technology adoption, varietal preferences and disease resistance: A systems perspective on management decisions in Australian grain production。Agricultural Systems",null,"Agricultural Systems","2026-09-16T00:00:00Z","论文",10,false,70,{"impact":16,"substance":17,"depth":18,"authority":19,"freshness":12,"relevant":20,"comment":21},12,18,16,14,1,"澳大利亚粮食生产的技术采纳与品种抗病决策研究，方法系统、结论有参考价值，但属境外细分领域论文，公共影响有限，适合主题聚合而非每日精选。",[23],{"name":9,"url":6},[25,26,27,28,29],"智慧农业","种业振兴","小麦","病害防控","技术采纳",[],{"status":32,"locked":13,"version":33,"method":34,"evidence":35},"unclassified","2026-10-22.2","rules",{"candidates":36,"agricultural_evidence":57,"reason":58},[37,42,47,52],{"code":38,"score":20,"supported":13,"title":39,"abstract":40,"tags":41},"A2",[],[],[27],{"code":43,"score":20,"supported":13,"title":44,"abstract":45,"tags":46},"F1",[],[],[26],{"code":48,"score":20,"supported":13,"title":49,"abstract":50,"tags":51},"G1",[],[],[29],{"code":53,"score":20,"supported":13,"title":54,"abstract":55,"tags":56},"I1",[],[],[25],true,"缺少足够的主题证据",[60,61],"技术采纳 智慧农业 病害防控 种业振兴","技术采纳 智慧农业","技术采纳智慧农业病害防控种业振兴-2623",2,"10.1016\u002Fj.agsy.2026.104972",{"doi":64,"openalex_id":66,"authors":67,"venue":9,"cited_by_count":77,"oa_url":6,"card":8,"direction":8,"ingested_from":78},"W7213370283",[68,71,74],{"name":69,"orcid":70},"Abebayehu Girma Geffersa","https:\u002F\u002Forcid.org\u002F0000-0003-2108-1084",{"name":72,"orcid":73},"S. 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This literature-based paper critically synthesized verified research on irrigation, plant disease management, irrigation–disease interactions, sustainability, digital agriculture, and the Pakistan\u002Fdeveloping-economy context. It considered irrigation and plant health as related management areas rather than completely separate input decisions. The available evidence did not identify a universal irrigation technology or deficit percentage. Instead, it supported a context-specific approach that considered stored soil water and rainfall, protected important growth stages, managed canopy humidity and nitrogen, used resistant cultivars and clean seed, and applied surveillance, forecasting, and fungicides when justified. Global and China-focused studies reported that moderate deficit or optimized water-saving irrigation could improve water productivity, whereas severe water deficit commonly reduced yield. Jointing\u002Fstem elongation was repeatedly identified as an important stage for avoiding water stress, while anthesis and early grain filling were also important when water availability and disease risk required attention. Disease-management evidence emphasized genetic resistance, sanitation, crop rotation, scouting, and forecasting before chemical control. Fusarium head blight required particular attention to weather conditions around anthesis, residue inoculum, cultivar resistance, fungicide timing, and deoxynivalenol risk. Irrigation increased yield without increasing disease in some environments, although dense nitrogen-rich canopies, overhead wetting, and saturated soils could favor foliar diseases and waterlogging. Digital tools were considered decision-support infrastructure that linked observations, analysis, and management actions. Wheat-specific evidence was relatively stronger for soil-moisture scheduling and weather-based stripe-rust forecasting, whereas many claims involving artificial intelligence, UAVs, and variable-rate irrigation remained predictive or transferable rather than directly supported by causal field evidence. Evidence from Pakistan indicated dependence on groundwater, salinity and waterlogging problems, uneven disease surveillance, and barriers to technology adoption. Differences among official statistics also indicated the need for careful reconciliation rather than simple averaging. The paper proposed an integrated framework involving diagnosis, planning, stage-aware irrigation, plant-health protection, evaluation, and seasonal feedback. It also identified the need for multi-location and multi-season studies that evaluated water use, disease, grain quality, energy use, greenhouse-gas emissions, profitability, and equity together.","小麦生产被期望在提供可靠籽粒品质和农民收入的同时，减少用水并应对气候变异、土壤退化、病害发展和能源成本上升。这篇基于文献的论文批判性地综合了关于灌溉、植物病害管理、灌溉–病害相互作用、可持续性、数字农业以及巴基斯坦\u002F发展中经济体背景的已验证研究。它将灌溉和植物健康视为相关的管理领域，而非完全独立的投入决策。现有证据并未确定一种通用的灌溉技术或亏缺百分比。相反，它支持一种因地制宜的方法，即考虑土壤储水和降雨、保护重要生育阶段、管理冠层湿度和氮素、使用抗性品种和清洁种子，并在有依据时应用监测、预报和杀菌剂。全球和中国的研究报告称，适度亏缺或优化节水灌溉可提高水分生产力，而严重水分亏缺通常降低产量。拔节\u002F茎伸长阶段被反复确定为避免水分胁迫的重要阶段，而在水分可用性和病害风险需要关注时，开花期和灌浆早期也很重要。病害管理证据强调在化学防治之前采用遗传抗性、卫生措施、轮作、田间巡查和预报。赤霉病需要特别关注开花期前后的天气条件、残体接种体、品种抗性、杀菌剂施用时机和脱氧雪腐镰刀菌烯醇风险。在某些环境中，灌溉提高了产量而未增加病害，尽管密集的富氮冠层、 overhead wetting 和饱和土壤可能有利于叶部病害和渍害。数字工具被视为连接观测、分析和管理行动的决策支持基础设施。小麦-specific 证据在土壤水分调度和基于天气的条锈病预报方面相对更强，而许多涉及人工智能、无人机和变量灌溉的说法仍属于预测性或可迁移性，而非直接得到因果田间证据的支持。来自巴基斯坦的证据表明对地下水的依赖、盐渍化和渍害问题、病害监测不均衡以及技术采用的障碍。官方统计数据之间的差异也表明需要谨慎。","Kashmir Journal of Academic Research and Development","2026-10-04T00:00:00Z",66,{"impact":16,"substance":93,"depth":94,"authority":95,"freshness":96,"relevant":20,"comment":97},20,17,8,9,"综述性论文，系统整合灌溉与病害协同管理及数字农业证据，对小麦节水抗病生产有参考价值，但非原创数据、层级偏学术。",[99],{"name":89,"url":86},[101,25,27,28,102],"数字农业","灌溉管理",{"code":38,"slug":104,"name":27,"path":105,"parent_code":106},"wheat","\u002Ftopic\u002Ffield-crops\u002Fwheat","A",[108],{"code":109,"slug":110,"name":111,"path":112,"parent_code":113},"H3","irrigation","水资源与灌溉","\u002Ftopic\u002Fenvironment\u002Firrigation","H",{"status":115,"locked":13,"version":33,"method":34,"evidence":116},"classified",{"candidates":117,"agricultural_evidence":57},[118,123,128,133,140,147,154,161],{"code":38,"score":119,"supported":57,"title":120,"abstract":121,"tags":122},15,[104],[27,104],[27],{"code":109,"score":119,"supported":57,"title":124,"abstract":125,"tags":127},[110],[126,110],"灌溉",[102],{"code":53,"score":95,"supported":57,"title":129,"abstract":130,"tags":132},[],[101,131],"digital 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Kumar",{"name":182,"orcid":8},"Um E Habiba",{"name":184,"orcid":8},"Amanullah Maree",{"tldr":186,"method":187,"finding":188,"direction":189,"opportunity":190},"综述小麦灌溉与病害管理整合策略，强调因地制宜而非通用方案。","文献综述，综合灌溉、病害、数字农业及巴基斯坦等发展经济体证据。","适度亏缺灌溉可提高水分生产力，但严重亏缺减产；病害管理需结合抗性、预测与适时用药。","智慧农业 \u002F 农业物联网","AI、无人机和变量灌溉在小麦中的因果田间证据不足，可开展整合灌溉-病害的验证研究。","数字乡村与农业信息化","2026-10-05T23:30:30.962770Z",{"id":194,"title":195,"url":196,"summary":197,"summary_zh":8,"content":8,"source_name":198,"source_url":8,"published_at":199,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":200,"score_detail":201,"sources":204,"tags":206,"primary_topic":208,"secondary_topics":213,"classification":214,"search_phrases":235,"slug":238,"view_count":77,"doi":239,"paper":240,"created_at":248},5529,"数字农业技术采纳的驱动因素与障碍：基于复杂网络与演化博弈的分析","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1894648\u002Ffull","文章从演化博弈视角构建数字农业技术采纳的驱动与阻碍机制框架，系统梳理影响农户采纳数字农业技术的关键因素与障碍路径。研究强调通用大模型难以直接满足专业知识、结果依据与溯源能力要求，为政策设计提供了技术采纳侧的理论依据。","Frontiers in Sustainable Food Systems 2026-10-19","2026-10-19T00:00:00Z",67,{"impact":16,"substance":17,"depth":18,"authority":202,"freshness":95,"relevant":20,"comment":203},13,"从演化博弈视角分析农户采纳数字农业技术的驱动与障碍，方法有新意、结论有政策参考价值，但属理论性论文，影响范围限于细分领域。",[205],{"name":198,"url":196},[101,25,29,207],"农户行为",{"code":162,"slug":209,"name":210,"path":211,"parent_code":212},"agricultural-ai","农业AI与大模型","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-ai","I",[],{"status":115,"locked":13,"version":33,"method":34,"evidence":215},{"candidates":216,"agricultural_evidence":57},[217,221,226,230],{"code":53,"score":202,"supported":57,"title":218,"abstract":219,"tags":220},[101],[101],[101,25],{"code":162,"score":156,"supported":57,"title":222,"abstract":223,"tags":225},[],[224],"大模型",[],{"code":48,"score":20,"supported":13,"title":227,"abstract":228,"tags":229},[],[],[29],{"code":231,"score":20,"supported":13,"title":232,"abstract":233,"tags":234},"G2",[],[],[207],[236,237],"数字农业 技术采纳 演化博弈","农户行为 技术采纳 数字农业 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2026 年 10 月通过品种报审，由蒲宗君等 9 位育种人完成。转让费采用入门费加提成费方式，入门费 30 万元，签订合同后支付 5 万元、审定公告出号后支付尾款 25 万元；提成费自 2029 年起按每销售一公斤种子提成 0.1 元，公示期至 2026 年 11 月 2 日。","四川省农业科学院 2026-10-19","报道",{"impact":18,"substance":93,"depth":16,"authority":202,"freshness":81,"relevant":20,"comment":257},"省级科研机构小麦新品种品种权转让公示，含转让费与提成条款等实质信息，对种业成果转化有参考价值，但属细分行业进展。",[259],{"name":254,"url":252},[26,261,27,262,263],"成果转化","品种权转让","弱筋小麦",{"code":38,"slug":104,"name":27,"path":105,"parent_code":106},[],{"status":115,"locked":13,"version":33,"method":34,"evidence":267},{"candidates":268,"agricultural_evidence":57},[269,273,279],{"code":38,"score":16,"supported":57,"title":270,"abstract":271,"tags":272},[27],[27],[27],{"code":43,"score":274,"supported":57,"title":275,"abstract":276,"tags":278},4,[],[277],"种质资源",[26],{"code":48,"score":20,"supported":13,"title":280,"abstract":281,"tags":282},[],[],[261],[284,285],"川麦632 品种权转让","四川省农科院 弱筋小麦","川麦632品种权转让-5443","2026-10-21T00:10:01.857857Z",{"id":289,"title":290,"url":291,"summary":292,"summary_zh":8,"content":293,"source_name":294,"source_url":8,"published_at":295,"category":255,"cover_url":8,"hotness":12,"is_selected":13,"score":296,"score_detail":297,"sources":299,"tags":301,"primary_topic":305,"secondary_topics":306,"classification":307,"search_phrases":322,"slug":325,"view_count":77,"doi":8,"paper":8,"created_at":326},5431,"山东农科院作物所阳信小麦试验示范基地 100 余亩展示田开始播种","https:\u002F\u002Fnews.qq.com\u002Frain\u002Fa\u002F20261020A0B4TW00","10 月 20 日，山东省农科院作物研究所阳信小麦试验示范基地 2026 年小麦品种播种现场启动，100 多亩展示田开始秋播。该基地由作物所与阳信县农村专业技术协会共建，9 月 15 日签约揭牌，作物所聘请科技成果转化推广专员刘洪彬担任技术指导员。基地以展示济麦系列优质高产及特色营养小麦新品种为核心，同步开展新品种新技术推广与人才培训，并从良种繁育前端与特色营养小麦加工后端两端拉长产业链。","10月20日，在位于阳信县农村技术协会的小麦播种田里，大型播种机在100多亩小麦品种展示基地回穿梭，不时传出技术人员下达的技术指令声，“播种机进地播种时一定检查好播种定量指针”“底肥和种子同期播种必须保持好安全距离”等技术措施不时从现场技术指导老师刘洪彬的嘴里发出。\n\n原来这是山东省农科院作物所山东省农业科学院作物研究所阳信小麦试验示范基地2026年的小麦品种播种现场，阳信县农技协会会长王保友在忙着记录数据、搬运种子，确保严格程序，完成高质量播种工作。\n\n今年9月15日，山东省农业科学院作物研究所阳信县小麦试验示范基地在阳信举行签约揭牌仪式。在随后召开的座谈会上，省农科院作物研究所小麦专家围绕济麦系列小麦新品种的特征特性、栽培要点等进行详细介绍。\n\n近年来，阳信县持续深化产学研合作，积极引进推广小麦新品种、新技术，粮食综合生产能力稳步提升。此次小麦试验示范基地的共建，将进一步推动济麦系列优良品种在该县规模化应用，打造农业科技创新与示范推广的县域样板，为全县小麦等粮食作物单产提升注入科技动能。\n\n基地由山东省农业科学院作物研究所与阳信农村专业技术协会共同打造建设，聘请山东省农科院作物所科技成果转化推广专员刘洪彬为小麦高质量栽培技术指导员。坚持“技术成果带动、试验示范结合、责任权利清晰、合作互利共赢”的原则，围绕山东省农业科学院作物研究所育成的小麦新品种（系）进行试验示范，开展新品种、新技术推广及人才培训，打造科技引领型小麦产业提质增效的阳信样板。旨在建设小麦新品种（系）展示平台，展示济麦系列优质高产及特色营养小麦新品种（系）。建立优质原粮生产基地，促进优质特色营养小麦产业化开发。以基地为核心，带动周边发展高产优质特色营养小麦生产，为当地面粉加工企业提供优质原料.延长小麦产业链，打造小麦产业提质增效的样板。\n\n在新品种展示示范的基础上，从两端拉长小麦产业链，前端引入种业企业，进一步发展小麦良种繁育，打造良种繁育基地；后端开发特色营养小麦加工，形成良种繁育—示范推广—产品加工完整产业链，不断提升小麦产业附加值。","山东省农业科学院 2026-10-20","2026-10-20T00:00:00Z",56,{"impact":16,"substance":202,"depth":12,"authority":16,"freshness":96,"relevant":20,"comment":298},"省级科研机构与县域共建小麦新品种示范基地的常规进展报道，有具体合作机制与产业链思路，但属区域性动态，公共影响有限。",[300],{"name":294,"url":291},[26,27,302,303,304],"济麦系列","院地合作","试验示范",{"code":38,"slug":104,"name":27,"path":105,"parent_code":106},[],{"status":115,"locked":13,"version":33,"method":34,"evidence":308},{"candidates":309,"agricultural_evidence":57},[310,314,318],{"code":38,"score":202,"supported":57,"title":311,"abstract":312,"tags":313},[27],[27],[27,302],{"code":48,"score":274,"supported":57,"title":315,"abstract":316,"tags":317},[],[261],[303],{"code":43,"score":20,"supported":13,"title":319,"abstract":320,"tags":321},[],[],[26],[323,324],"山东农科院 阳信 小麦试验示范基地","济麦系列 小麦 示范推广","山东农科院阳信小麦试验示范基地-5431","2026-10-21T00:10:00.947422Z",{"id":328,"title":329,"url":330,"summary":331,"summary_zh":332,"content":8,"source_name":333,"source_url":330,"published_at":199,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":334,"score_detail":335,"sources":338,"tags":340,"primary_topic":8,"secondary_topics":344,"classification":345,"search_phrases":366,"slug":369,"view_count":77,"doi":370,"paper":371,"created_at":382},5317,"PLANT-GPK v4.0: A Unified Time-Discovery Framework for Multi-Stage Plant Phenotyping","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23460911","This paper presents a comprehensive extension to the PLANT-GPK framework, demonstrating its robust capability to analyze plants across entirely different developmental stages from single images. By formulating an inverse problem that simultaneously optimizes physiological parameters and the hidden time dimension (t), the model successfully discovered the exact age of two distinct wheat samples: a vegetative (green) stage and a senescent (golden) stage. The framework bridges computer vision, spatial heterogeneity analysis, and ODE-based physics to provide a complete digital twin capable of forecasting future harvest windows regardless of the plant's current state.","本文对PLANT-GPK框架进行了全面扩展，展示了其仅凭单张图像即可分析处于完全不同发育阶段植物的稳健能力。通过构建一个同时优化生理参数与隐藏时间维度（t）的反问题，该模型成功发现了两个不同小麦样本的精确年龄：一个处于营养期（绿色阶段），另一个处于衰老期（金色阶段）。该框架融合了计算机视觉、空间异质性分析以及基于常微分方程（ODE）的物理学，提供了一个完整的数字孪生体，无论植物当前处于何种状态，均能预测未来的收获窗口。","Zenodo (CERN European Organization for Nuclear Research)",81,{"impact":17,"substance":336,"depth":17,"authority":202,"freshness":12,"relevant":20,"comment":337},22,"该研究提出统一时间发现框架，可从单幅图像反演植物生育阶段并预测收获窗口，方法新颖且具数字孪生应用潜力，值得进入每日精选。",[339],{"name":333,"url":330},[25,341,27,342,343],"农业人工智能","数字孪生","植物表型",[],{"status":346,"locked":13,"version":33,"method":34,"evidence":347},"needs_review",{"candidates":348,"agricultural_evidence":57,"reason":365},[349,354,359],{"code":53,"score":95,"supported":57,"title":350,"abstract":351,"tags":353},[],[342,352],"digital twin",[342,25],{"code":38,"score":355,"supported":57,"title":356,"abstract":357,"tags":358},7,[],[27,104],[27],{"code":162,"score":355,"supported":57,"title":360,"abstract":361,"tags":364},[],[362,363],"计算机视觉","computer vision",[341],"多个产业证据相当，需要确认主归属",[367,368],"PLANT-GPK 植物表型","小麦 数字孪生 生育期","PLANT-GPK植物表型-5317","10.5281\u002Fzenodo.23460911",{"doi":370,"openalex_id":372,"authors":373,"venue":333,"cited_by_count":77,"oa_url":330,"card":376,"direction":380,"ingested_from":78},"W7222895088",[374],{"name":375,"orcid":8},"MOHAMMED TAHAR SAIM",{"tldr":377,"method":378,"finding":379,"direction":380,"opportunity":381},"扩展PLANT-GPK框架，从单张图像反演植物生理参数与隐藏时间维度，实现跨发育阶段表型分析。","基于ODE物理模型的反问题优化，联合估计生理参数与时间t，用两个小麦样本验证。","模型成功发现营养期与衰老期小麦的精确年龄，可预测收获窗口。","农业遥感与作物表型","单图跨阶段时间反演可延伸至多作物多生育期数字孪生与收获期预测的通用化研究。","2026-10-19T23:30:19.498798Z",{"id":384,"title":385,"url":386,"summary":387,"summary_zh":8,"content":388,"source_name":389,"source_url":8,"published_at":390,"category":255,"cover_url":8,"hotness":12,"is_selected":13,"score":391,"score_detail":392,"sources":394,"tags":396,"primary_topic":399,"secondary_topics":400,"classification":401,"search_phrases":412,"slug":415,"view_count":77,"doi":8,"paper":8,"created_at":416},5215,"山东省农科院发布小麦新品种\"济麦51\"独占许可公告","http:\u002F\u002Fwww.saas.ac.cn\u002Farticles\u002Fch14047\u002F202610\u002Ff2d31316-caee-4f09-b97a-ceba2d6abcba.shtml","2026年10月16日,山东省农业科学院发布小麦新品种\"济麦51\"独占许可公告,登记编号国审麦20261037,半冬性、全生育期234.2天,株高79.4厘米,平均亩产583.7-628.7千克,拟转化方式为独占许可,截止日期为2026年10月20日。","品种简介：半冬性，全生育期234.2天，与对照品种济麦22熟期相当。株高79.4厘米，抗倒性较好，平均亩穗数42.3万穗，穗粒数34.6粒，千粒重46.1克。高感赤霉病，高感条锈病，高感叶锈病，中感纹枯病，中感白粉病。抗寒性中等。籽粒容重815克\u002F升、838克\u002F升，蛋白质含量13.2%、13.6%，湿面筋含量29.4%、31.5%，稳定时间2.6分钟、3.2分钟，吸水率61.0%、63.3%。2022—2023年度参加黄淮冬麦区北片水地组区域试验，平均亩产583.7千克，比对照济麦22增产5.38%；2023—2024年度续试，平均亩产603.0千克，比对照济麦22增产4.31%；2024—2025年度生产试验，平均亩产628.7千克，比对照济麦22增产3.78%。","山东省农业科学院成果转化处(2026-10-16)","2026-10-16T00:00:00Z",75,{"impact":17,"substance":336,"depth":19,"authority":202,"freshness":95,"relevant":20,"comment":393},"省级科研机构发布小麦新品种独占许可，含完整区试产量与品质数据，对种业转化有实质参考价值。",[395],{"name":389,"url":386},[26,27,397,398],"品种许可","济麦51",{"code":38,"slug":104,"name":27,"path":105,"parent_code":106},[],{"status":115,"locked":13,"version":33,"method":34,"evidence":402},{"candidates":403,"agricultural_evidence":57},[404,408],{"code":38,"score":16,"supported":57,"title":405,"abstract":406,"tags":407},[27],[27],[27],{"code":43,"score":20,"supported":13,"title":409,"abstract":410,"tags":411},[],[],[26],[413,414],"山东省农科院 济麦51 独占许可","济麦51 小麦品种","山东省农科院济麦51独占许可-5215","2026-10-18T00:05:23.255694Z"]