[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-1089":3,"related-1089":60},{"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":36,"classification":37,"search_phrases":54,"slug":57,"view_count":58,"doi":8,"paper":8,"created_at":59},1089,"山东公示:拟对鲁研951等8个小麦品种进行补助 鲁研951等入选2026年小麦重大品种研发推广应用一体化项目","https:\u002F\u002Fso.html5.qq.com\u002Fpage\u002Freal\u002Fsearch_news?docid=70000021_0846a90c6d949352","8月27日,山东省农业农村厅发布关于2026年小麦重大品种研发推广应用一体化项目评审结果的公示。根据《2026年山东省农作物重大品种研发推广应用一体化项目实施方案》(鲁农种业字〔2026〕10号)要求,经专家评审,拟对鲁研951等8个小麦品种进行补助,公示期2026年8月27日至9月2日。",null,"山东公示：拟对鲁研951等8个小麦品种进行补助\n\n![Image 1: 新黄河](https:\u002F\u002Fqb-profile.image.myqcloud.com\u002Favatar_008599af952aa62d36fd0afb8ea61b07.png)\n\n新黄河\n\n前天\n\n8月27日，山东省农业农村厅发布关于2026年小麦重大品种研发推广应用一体化项目评审结果的公示。根据《山东省农业农村厅山东省财政厅关于印发＜2026年山东省农作物重大品种研发推广应用一体化项目实施方案＞的通知》（鲁农种业字〔2026〕10号）要求，经专家评审，拟对8个小麦品种进行补助，现予公示。\n\n如对公示内容有异议，请在公示期内以书面形式向省农业农村厅反映。单位提出异议的，要在异议材料上加盖公章并注明联系方式；个人提出异议的，须写明工作单位和联系方式，并签署真实姓名。\n\n公示期：2026年8月27日至9月2日\n\n电话：0531－81608103\n\n邮箱：heyanfang＠shandong.cn\n\n![Image 2](http:\u002F\u002Fqqpublic.qpic.cn\u002Fqq_public\u002F0\u002F28-4166571677-BC3192339F1B434090775BEA460C61C9\u002F0?fmt=jpg&size=188&h=774&w=1000&ppv=1)\n\n记者：孙锋 编辑：柏凌君 校对：汤琪","山东农业农村厅(腾讯新闻转载)","2026-08-27T03:00:00Z","报道",10,false,62,{"impact":17,"substance":18,"depth":19,"authority":13,"freshness":20,"relevant":21,"comment":22},18,15,12,7,1,"省级小麦品种补助公示，涉及农业科技推广，信息具体，但为转载且时效稍过。",[24],{"name":10,"url":6},[26,27,28,29,30],"山东","种业","小麦","鲁研951","重大品种",{"code":32,"slug":33,"name":28,"path":34,"parent_code":35},"A2","wheat","\u002Ftopic\u002Ffield-crops\u002Fwheat","A",[],{"status":38,"locked":14,"version":39,"method":40,"evidence":41},"classified","2026-10-22.2","rules",{"candidates":42,"agricultural_evidence":44},[43,48],{"code":32,"score":19,"supported":44,"title":45,"abstract":46,"tags":47},true,[28],[28],[28],{"code":49,"score":50,"supported":44,"title":51,"abstract":52,"tags":53},"F1",4,[],[27],[27],[55,56],"重大品种 鲁研951 小麦 山东","重大品种 鲁研951","重大品种鲁研951小麦山东-1089",2,"2026-08-30T00:11:09.630142Z",{"total":61,"page":21,"page_size":61,"items":62},6,[63,108,148,185,269,367],{"id":64,"title":65,"url":66,"summary":67,"summary_zh":8,"content":8,"source_name":68,"source_url":8,"published_at":69,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":70,"score_detail":71,"sources":76,"tags":78,"primary_topic":83,"secondary_topics":84,"classification":85,"search_phrases":102,"slug":105,"view_count":106,"doi":8,"paper":8,"created_at":107},5443,"四川省农科院作物所优质弱筋小麦新品种「川麦632」品种权转让公示","https:\u002F\u002Fwww.chinawestagr.com\u002Fhomepage\u002FshowAffiche.asp?id=3026","四川省农业科学院作物研究所（四川省种质资源中心）公示小麦品种「川麦632」品种权转让结果，受让方为四川均隆生物科技有限公司。「川麦632」是该所选育的优质弱筋小麦新品种，已于 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","2026-10-19T00:00:00Z",67,{"impact":72,"substance":73,"depth":19,"authority":74,"freshness":61,"relevant":21,"comment":75},16,20,13,"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。",[77],{"name":68,"url":66},[79,80,28,81,82],"种业振兴","成果转化","品种权转让","弱筋小麦",{"code":32,"slug":33,"name":28,"path":34,"parent_code":35},[],{"status":38,"locked":14,"version":39,"method":40,"evidence":86},{"candidates":87,"agricultural_evidence":44},[88,92,97],{"code":32,"score":19,"supported":44,"title":89,"abstract":90,"tags":91},[28],[28],[28],{"code":49,"score":50,"supported":44,"title":93,"abstract":94,"tags":96},[],[95],"种质资源",[79],{"code":98,"score":21,"supported":14,"title":99,"abstract":100,"tags":101},"G1",[],[],[80],[103,104],"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",0,"2026-10-21T00:10:01.857857Z",{"id":109,"title":110,"url":111,"summary":112,"summary_zh":8,"content":113,"source_name":114,"source_url":8,"published_at":115,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":116,"score_detail":117,"sources":120,"tags":122,"primary_topic":126,"secondary_topics":127,"classification":128,"search_phrases":143,"slug":146,"view_count":106,"doi":8,"paper":8,"created_at":147},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":19,"substance":74,"depth":13,"authority":19,"freshness":118,"relevant":21,"comment":119},9,"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。",[121],{"name":114,"url":111},[79,28,123,124,125],"济麦系列","院地合作","试验示范",{"code":32,"slug":33,"name":28,"path":34,"parent_code":35},[],{"status":38,"locked":14,"version":39,"method":40,"evidence":129},{"candidates":130,"agricultural_evidence":44},[131,135,139],{"code":32,"score":74,"supported":44,"title":132,"abstract":133,"tags":134},[28],[28],[28,123],{"code":98,"score":50,"supported":44,"title":136,"abstract":137,"tags":138},[],[80],[124],{"code":49,"score":21,"supported":14,"title":140,"abstract":141,"tags":142},[],[],[79],[144,145],"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":149,"title":150,"url":151,"summary":152,"summary_zh":8,"content":153,"source_name":154,"source_url":8,"published_at":155,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":156,"score_detail":157,"sources":162,"tags":164,"primary_topic":167,"secondary_topics":168,"classification":169,"search_phrases":180,"slug":183,"view_count":106,"doi":8,"paper":8,"created_at":184},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":158,"depth":159,"authority":74,"freshness":160,"relevant":21,"comment":161},22,14,8,"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。",[163],{"name":154,"url":151},[79,28,165,166],"品种许可","济麦51",{"code":32,"slug":33,"name":28,"path":34,"parent_code":35},[],{"status":38,"locked":14,"version":39,"method":40,"evidence":170},{"candidates":171,"agricultural_evidence":44},[172,176],{"code":32,"score":19,"supported":44,"title":173,"abstract":174,"tags":175},[28],[28],[28],{"code":49,"score":21,"supported":14,"title":177,"abstract":178,"tags":179},[],[],[79],[181,182],"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",{"id":186,"title":187,"url":188,"summary":189,"summary_zh":190,"content":8,"source_name":191,"source_url":188,"published_at":192,"category":193,"cover_url":8,"hotness":13,"is_selected":14,"score":194,"score_detail":195,"sources":197,"tags":199,"primary_topic":204,"secondary_topics":205,"classification":206,"search_phrases":240,"slug":243,"view_count":106,"doi":244,"paper":245,"created_at":268},4820,"Integrated strategies for improving lodging resistance in wheat: physiological mechanisms, plant growth regulators and agronomic management","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffpls.2026.1925460","Wheat lodging remains a major constraint to sustainable wheat production because it reduces grain yield and quality, increases harvesting losses and lowers production efficiency. The widespread cultivation of high-yielding cultivars, intensive nitrogen fertilization, higher planting densities, expansion of irrigated agriculture, and increasingly frequent extreme weather events have collectively increased lodging susceptibility, making effective management an important priority. Lodging is a complex phenomenon governed by interactions among plant architecture, stem mechanical properties, root anchorage, crop management practices and environmental conditions. Consequently, improving lodging resistance requires an integrated approach that combines physiological understanding with practical agronomic interventions. This review synthesizes recent advances in the structural, physiological, biochemical and agronomic mechanisms underlying lodging resistance in wheat. Particular emphasis is placed on stem biomechanics, basal internode characteristics, cell wall composition, lignin and cellulose deposition, root system architecture, and genetic factors that collectively determine plant stability. The review further examines the influence of major agronomic practices, including nitrogen management, plant population, sowing time, irrigation scheduling and cultivar selection, on lodging risk under diverse production environments. In addition, the physiological responses, field performance, practical applications and limitations of commonly used plant growth regulators, including chlormequat chloride, trinexapac-ethyl, paclobutrazol, uniconazole and ethephon, are critically evaluated in relation to their roles in improving stem strength and reducing lodging. The available evidence indicates that no single strategy provides consistent lodging control across all production systems. Instead, durable improvement in lodging resistance depends on integrating genetic improvement, balanced crop nutrition, optimized agronomic management, and judicious use of plant growth regulators according to local environmental conditions. The review also highlights emerging opportunities offered by precision agriculture, high-throughput phenotyping, advanced spray technologies, and improved understanding of stem biomechanics and root anchorage. Together, these advances provide a framework for developing sustainable, climate-resilient lodging management strategies that enhance wheat productivity, crop stability and resource-use efficiency, while also highlighting key research priorities for future investigation.","小麦倒伏仍是可持续小麦生产的主要制约因素，因为它降低籽粒产量和品质，增加收获损失并降低生产效率。高产栽培品种的广泛种植、集约化氮肥施用、更高的种植密度、灌溉农业的扩张以及日益频繁的极端天气事件，共同增加了倒伏易感性，使有效管理成为重要优先事项。倒伏是一种复杂现象，受植株结构、茎秆力学特性、根系锚定、作物管理措施和环境条件之间相互作用的支配。因此，提高抗倒伏性需要将生理学认识与实际农艺干预相结合的综合方法。本综述综合了小麦抗倒伏性所依据的结构、生理、生化和农艺机制方面的最新进展。特别强调了茎秆生物力学、基部节间特征、细胞壁组成、木质素和纤维素沉积、根系构型以及共同决定植株稳定性的遗传因素。本综述进一步考察了主要农艺措施，包括氮素管理、植株群体、播期、灌溉制度和品种选择，在不同生产环境下对倒伏风险的影响。此外，对常用植物生长调节剂，包括矮壮素(chlormequat chloride)、抗倒酯(trinexapac-ethyl)、多效唑(paclobutrazol)、烯效唑(uniconazole)和乙烯利(ethephon)，在其提高茎秆强度和减少倒伏的作用方面，对其生理响应、田间表现、实际应用和局限性进行了批判性评价。现有证据表明，没有任何单一策略能够在所有生产系统中提供一致的倒伏控制。相反，抗倒伏性的持久改善取决于将遗传改良、平衡作物营养、优化农艺管理以及根据当地环境条件合理使用植物生长调节剂相结合。本综述还强调了精准农业、高通量表型分析、先进喷雾技术以及对茎秆生物力学和根系锚定认识的提高所提供的新兴机遇。总之，这些进展为开发可持续、气候适应型的倒伏管理策略提供了框架，从而提高小麦生产","Frontiers in Plant Science","2026-10-12T00:00:00Z","论文",81,{"impact":17,"substance":158,"depth":17,"authority":159,"freshness":118,"relevant":21,"comment":196},"系统综述小麦抗倒伏的生理机制、生长调节剂与农艺管理，信息增量与专业深度较高，对小麦稳产与智慧化管理有参考价值。",[198],{"name":191,"url":188},[200,28,201,202,203],"智慧农业","抗倒伏","植物生长调节剂","农艺管理",{"code":32,"slug":33,"name":28,"path":34,"parent_code":35},[],{"status":38,"locked":14,"version":39,"method":40,"evidence":207},{"candidates":208,"agricultural_evidence":44},[209,213,220,227,234],{"code":32,"score":18,"supported":44,"title":210,"abstract":211,"tags":212},[33],[28,33],[28],{"code":214,"score":20,"supported":44,"title":215,"abstract":216,"tags":219},"I1",[],[217,218],"精准农业","precision agriculture",[200],{"code":221,"score":61,"supported":44,"title":222,"abstract":223,"tags":226},"H3",[],[224,225],"灌溉","irrigation",[],{"code":228,"score":229,"supported":44,"title":230,"abstract":231,"tags":233},"F3",3,[],[232],"fertilization",[],{"code":235,"score":229,"supported":44,"title":236,"abstract":237,"tags":239},"H7",[],[238],"气候适应",[],[241,242],"小麦 抗倒伏 栽培管理","小麦 植物生长调节剂 矮壮素","小麦抗倒伏栽培管理-4820","10.3389\u002Ffpls.2026.1925460",{"doi":244,"openalex_id":246,"authors":247,"venue":191,"cited_by_count":106,"oa_url":259,"card":260,"direction":266,"ingested_from":267},"W7221517218",[248,250,252,254,257],{"name":249,"orcid":8},"Kavita Devi",{"name":251,"orcid":8},"Jasdev Singh Deol",{"name":253,"orcid":8},"Amit Kaul",{"name":255,"orcid":256},"Arun Kumar","https:\u002F\u002Forcid.org\u002F0000-0002-0106-2735",{"name":258,"orcid":8},"Rahul Sharma","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fplant-science\u002Farticles\u002F10.3389\u002Ffpls.2026.1925460\u002Fpdf",{"tldr":261,"method":262,"finding":263,"direction":264,"opportunity":265},"综述小麦抗倒伏的生理机制、植物生长调节剂与农艺管理，提出综合防控策略。","文献综述，整合茎秆生物力学、细胞壁、根系及农艺与调节剂证据。","单一措施难以稳定控倒，需结合遗传、营养、农艺与调节剂并因地制宜。","农业人工智能与决策模型","可结合高通量表型与精准农业构建抗倒伏智能决策模型，实现因地制宜动态调控。","农业遥感与作物表型","openalex","2026-10-13T23:30:19.035054Z",{"id":270,"title":271,"url":272,"summary":273,"summary_zh":274,"content":8,"source_name":275,"source_url":272,"published_at":276,"category":193,"cover_url":8,"hotness":13,"is_selected":14,"score":277,"score_detail":278,"sources":281,"tags":283,"primary_topic":287,"secondary_topics":288,"classification":293,"search_phrases":341,"slug":344,"view_count":106,"doi":345,"paper":346,"created_at":366},4242,"Integrated Irrigation and Disease Management Strategies for Sustainable Wheat Production and Improved Plant Health and Grain Yield","https:\u002F\u002Fdoi.org\u002F10.71317\u002Fkjard.2.10.2026.774","Wheat production was expected to provide reliable grain quality and farmer income while using less water and facing climatic variability, soil degradation, disease development, and rising energy costs. 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":19,"substance":73,"depth":279,"authority":160,"freshness":118,"relevant":21,"comment":280},17,"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。",[282],{"name":275,"url":272},[284,200,28,285,286],"数字农业","病害防控","灌溉管理",{"code":32,"slug":33,"name":28,"path":34,"parent_code":35},[289],{"code":221,"slug":225,"name":290,"path":291,"parent_code":292},"水资源与灌溉","\u002Ftopic\u002Fenvironment\u002Firrigation","H",{"status":38,"locked":14,"version":39,"method":40,"evidence":294},{"candidates":295,"agricultural_evidence":44},[296,300,304,309,316,323,329,335],{"code":32,"score":18,"supported":44,"title":297,"abstract":298,"tags":299},[33],[28,33],[28],{"code":221,"score":18,"supported":44,"title":301,"abstract":302,"tags":303},[225],[224,225],[286],{"code":214,"score":160,"supported":44,"title":305,"abstract":306,"tags":308},[],[284,307],"digital agriculture",[284,200],{"code":310,"score":61,"supported":44,"title":311,"abstract":312,"tags":315},"A7",[],[313,314],"轮作","crop rotation",[],{"code":317,"score":61,"supported":44,"title":318,"abstract":319,"tags":322},"H2",[],[320,321],"土壤","soil",[],{"code":235,"score":61,"supported":44,"title":324,"abstract":325,"tags":328},[],[326,327],"渍害","waterlogging",[],{"code":330,"score":229,"supported":44,"title":331,"abstract":332,"tags":334},"B7",[],[333],"greenhouse",[],{"code":336,"score":229,"supported":44,"title":337,"abstract":338,"tags":340},"I2",[],[339],"artificial intelligence",[],[342,343],"小麦 灌溉 病害 综合管理","小麦 节水灌溉 赤霉病","小麦灌溉病害综合管理-4242","10.71317\u002Fkjard.2.10.2026.774",{"doi":345,"openalex_id":347,"authors":348,"venue":275,"cited_by_count":106,"oa_url":272,"card":359,"direction":365,"ingested_from":267},"W7219840451",[349,351,353,355,357],{"name":350,"orcid":8},"Amir Khan Jamali",{"name":352,"orcid":8},"Zahir Muhammad Larik",{"name":354,"orcid":8},"Videsh Kumar",{"name":356,"orcid":8},"Um E Habiba",{"name":358,"orcid":8},"Amanullah Maree",{"tldr":360,"method":361,"finding":362,"direction":363,"opportunity":364},"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":368,"title":369,"url":370,"summary":371,"summary_zh":372,"content":8,"source_name":373,"source_url":370,"published_at":374,"category":193,"cover_url":8,"hotness":13,"is_selected":44,"score":375,"score_detail":376,"sources":380,"tags":382,"primary_topic":386,"secondary_topics":387,"classification":388,"search_phrases":404,"slug":407,"view_count":20,"doi":408,"paper":409,"created_at":463},4078,"Assessing plant area index and 3D plant area distribution in wheat canopies from a terrestrial LiDAR system for high-throughput plant phenotyping","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.rse.2026.115711","This study investigates a new methodology to estimate plant area index ( PAI ) and its spatial distribution from 3D point clouds acquired by a system of 3 LiDARs (2 nadir-viewing and one at 45°) mounted on the Phenomobile Unmanned Ground Vehicle designed for high-throughput phenotyping of herbaceous crops. It relies on the computation of the gap fraction at the voxel level using the trajectories of the laser beams to numerically invert the Beer-Lambert law (BL), enabling the simultaneous estimation of PAI and AIA (Average Inclination Angle, in°). The method is evaluated on wheat crops both in silico (i.e. simulations based on the AdelWheat functional structural crop model coupled with a point cloud simulator) and in actual phenotyping trials of a panel of 10 bread wheat genotypes grown in two study sites under different treatments of plant density, water stress and sowing dates. The in silico validation indicates that the numeric inversion of BL with the LiDAR system of the Phenomobile leads to a relative error of 9.8% (RMSE = 0.32, R 2 = 0.99) and 8.4% (RMSE =5.4°, R 2 = 0.95) in the estimation of PAI and AIA , respectively. The validation in actual phenotyping experiments against destructive measurements produced satisfactory results for canopy PAI (RMSE = 1.44, R 2 = 0.82), while requiring prior knowledge on AIA , e.g. either by (i) introducing a regularization term in the cost function used to invert BL, to avoid unexpected high AIA estimations, (ii) using a fixed, reference value of 60°. The analysis of the results indicates that the inclusion of a regularization term mitigates the impact of actual differences in leaf inclination among cultivars on PAI accuracy, while providing a relative description of the actual variability in the vertical profile of leaf inclination across the different cultivars.","本研究探讨了一种新方法，用于从三维点云中估算植物面积指数（PAI）及其空间分布。该点云由安装在Phenomobile无人地面车辆上的3台激光雷达（LiDAR）系统（2台天底视角和1台45°视角）获取，该车辆专为草本作物的高通量表型设计。该方法依赖于利用激光束轨迹在体素水平上计算间隙率，以数值反演Beer-Lambert定律（BL），从而能够同时估算PAI和AIA（平均倾角，单位为°）。该方法在小麦作物上进行了评估，既包括计算机模拟（即基于AdelWheat功能结构作物模型结合点云模拟器的模拟），也包括在实际表型试验中对10个面包小麦基因型组成的 panel 在两个研究地点、不同植株密度、水分胁迫和播种日期处理下的种植。计算机模拟验证表明，利用Phenomobile的LiDAR系统对BL进行数值反演，在PAI和AIA估算中分别产生9.8%（RMSE = 0.32，R² = 0.99）和8.4%（RMSE = 5.4°，R² = 0.95）的相对误差。在实际表型试验中与破坏性测量进行验证，冠层PAI获得了令人满意的结果（RMSE = 1.44，R² = 0.82），但需要关于AIA的先验知识，例如通过以下方式之一：（i）在用于反演BL的代价函数中引入正则化项，以避免出现意外的高AIA估算值；（ii）使用固定的参考值60°。结果分析表明，引入正则化项减轻了品种间叶片倾角实际差异对PAI精度的影响，同时提供了不同品种间叶片倾角垂直剖面实际变异性的相对描述。","Remote Sensing of Environment","2026-10-02T00:00:00Z",84,{"impact":17,"substance":377,"depth":378,"authority":18,"freshness":118,"relevant":21,"comment":379},23,19,"基于车载三激光雷达点云反演小麦植物面积指数与倾角分布，仿真与田间验证扎实，属高通量表型领域方法学新进展。",[381],{"name":373,"url":370},[200,28,383,384,385],"遥感监测","高通量表型","激光雷达",{"code":32,"slug":33,"name":28,"path":34,"parent_code":35},[],{"status":38,"locked":14,"version":39,"method":40,"evidence":389},{"candidates":390,"agricultural_evidence":44},[391,395,399],{"code":32,"score":18,"supported":44,"title":392,"abstract":393,"tags":394},[33],[28,33],[28],{"code":214,"score":21,"supported":14,"title":396,"abstract":397,"tags":398},[],[],[200],{"code":400,"score":21,"supported":14,"title":401,"abstract":402,"tags":403},"I3",[],[],[383],[405,406],"Phenomobile 激光雷达 小麦","植物面积指数 三维点云","Phenomobile激光雷达小麦-4078","10.1016\u002Fj.rse.2026.115711",{"doi":408,"openalex_id":410,"authors":411,"venue":373,"cited_by_count":106,"oa_url":370,"card":458,"direction":266,"ingested_from":267},"W7215681984",[412,415,417,420,422,424,427,429,432,435,438,440,442,444,446,448,450,452,455],{"name":413,"orcid":414},"Raúl López‐Lozano","https:\u002F\u002Forcid.org\u002F0000-0001-6499-4743",{"name":416,"orcid":8},"Tian Ma",{"name":418,"orcid":419},"Maxime Soma","https:\u002F\u002Forcid.org\u002F0000-0002-9242-3283",{"name":421,"orcid":8},"Marie Weiss",{"name":423,"orcid":8},"Aurélien Ausset",{"name":425,"orcid":426},"Philippe Burger","https:\u002F\u002Forcid.org\u002F0000-0003-3662-7924",{"name":428,"orcid":8},"Bruno Berthon",{"name":430,"orcid":431},"Romain Chapuis","https:\u002F\u002Forcid.org\u002F0000-0001-7196-4622",{"name":433,"orcid":434},"Marie-Pia D'argaignon","https:\u002F\u002Forcid.org\u002F0009-0004-6568-9213",{"name":436,"orcid":437},"Antonin Grau","https:\u002F\u002Forcid.org\u002F0000-0002-5366-9360",{"name":439,"orcid":8},"Florian Larue",{"name":441,"orcid":8},"Romane Le-Roy",{"name":443,"orcid":8},"Rémy Marandel",{"name":445,"orcid":8},"Vincent Mercier",{"name":447,"orcid":8},"Mathieu Roy",{"name":449,"orcid":8},"Gilles Tison",{"name":451,"orcid":8},"Frédéric Venault",{"name":453,"orcid":454},"Pierre Martre","https:\u002F\u002Forcid.org\u002F0000-0002-7419-6558",{"name":456,"orcid":457},"Frédéric Baret","https:\u002F\u002Forcid.org\u002F0000-0002-7655-8997",{"tldr":459,"method":460,"finding":461,"direction":266,"opportunity":462},"利用车载三LiDAR点云反演小麦冠层植物面积指数与三维分布，实现高通量表型分析。","体素间隙率结合Beer-Lambert数值反演，用AdelWheat模型仿真与1","PAI估算R²=0.82，加入正则项可减少叶倾角差异影响并描述垂直分布变异。","可探索多角度LiDAR与正则化反演结合，提升不同基因型叶倾角垂直分布的鲁棒表型提取。","2026-10-03T23:30:24.403056Z"]