[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-4080":3,"related-4080":102},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":6,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":24,"tags":26,"primary_topic":32,"secondary_topics":38,"classification":39,"search_phrases":81,"slug":84,"view_count":85,"doi":86,"paper":87,"created_at":101},4080,"Genomic repetition in climate adaptation across different crop species","https:\u002F\u002Fdoi.org\u002F10.32942\u002Fx2wq32","Commercial crop varieties (cultivars) have a narrow genetic diversity that makes them vulnerable to climate change. Yet most crops have related semi-domesticated varieties (landraces) and wild relatives that thrive under climates that would be considered extreme for cultivars. The genomes of such varieties are reservoirs of unknown adaptive traits, some of which could be used to extend the climatic tolerance of cultivars. To shed light on these traits, we built a genomic database of fourteen crop types, including landraces and wild relatives of staple crops. This database included individual-level genomic data for plants from over 3,000 locations worldwide. Leveraging remote sensing and climatic models, we reconstructed bioclimatic conditions, soil types, and human disturbance for each of these locations. Genes whose geographic variation correlates with an environmental gradient are potentially implicated in local adaptation; if the same gene repeatedly shows this association in different crops, its adaptive role is more likely. We found 16 groups of genes showing such repeated environmental associations, mainly linked to water availability and cold-season temperature. For some of these genes, the same climate association was observed in 6, 7, or even up to 13 crop types. Using A. thaliana as a reference, we found that many of these genes likely encode proteins already well known to regulate cellular responses to drought and cold stress. Our findings suggest that natural variation in these genes can enhance such responses, and that such variation exists in landraces and wild relatives of different crops. If validated, this finding could open new avenues to make cultivars more climate-tolerant via genomic-guided breeding.","商业作物品种（栽培品种）的遗传多样性狭窄，使其易受气候变化影响。然而，大多数作物都有相关的半驯化品种（地方品种）和野生近缘种，它们在对栽培品种而言属于极端的气候条件下仍能茁壮生长。这些品种的基因组是未知适应性性状的储库，其中一些性状可用于拓展栽培品种的气候耐受性。为揭示这些性状，我们构建了一个涵盖14种作物类型的基因组数据库，包括主粮作物的地方品种和野生近缘种。该数据库包含来自全球3000多个地点的植物个体水平基因组数据。借助遥感与气候模型，我们重建了每个地点的生物气候条件、土壤类型和人类干扰情况。地理变异与某一环境梯度相关的基因可能参与局部适应；若同一基因在不同作物中反复表现出这种关联，则其适应性作用更有可能成立。我们发现了16组表现出此类重复环境关联的基因，主要与水分可利用性和冷季温度有关。其中一些基因在6种、7种甚至多达13种作物类型中观察到相同的气候关联。以拟南芥（A. thaliana）为参照，我们发现许多此类基因可能编码已知调控细胞对干旱和冷胁迫响应的蛋白质。我们的研究结果表明，这些基因的自然变异可以增强此类响应，且这种变异存在于不同作物的地方品种和野生近缘种中。若得到验证，这一发现可能为通过基因组引导育种使栽培品种更具气候耐受性开辟新途径。",null,"OpenAlex","2026-09-30T00:00:00Z","论文",10,true,84,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},22,23,18,13,8,1,"构建14类作物、3000余个地点基因组数据库，发现16组跨作物重复环境适应基因，为气候耐受育种提供新靶点，数据规模与方法均有实质增量。",[25],{"name":10,"url":6},[27,28,29,30,31],"农业遥感","种业振兴","基因组育种","气候适应性","作物野生近缘种",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},"H7","climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate","H",[],{"status":40,"locked":41,"version":42,"method":43,"evidence":44},"classified",false,"2026-10-22.2","rules",{"candidates":45,"agricultural_evidence":14},[46,55,63,71,76],{"code":33,"score":47,"supported":14,"title":48,"abstract":49,"tags":54},9,[],[50,51,52,53],"气候变化","干旱","climate change","drought",[],{"code":56,"score":57,"supported":14,"title":58,"abstract":59,"tags":62},"I3",7,[],[60,61],"遥感","remote sensing",[27],{"code":64,"score":65,"supported":14,"title":66,"abstract":67,"tags":70},"H2",6,[],[68,69],"土壤","soil",[],{"code":72,"score":22,"supported":41,"title":73,"abstract":74,"tags":75},"F1",[],[],[28],{"code":77,"score":22,"supported":41,"title":78,"abstract":79,"tags":80},"F2",[],[],[29],[82,83],"作物 野生近缘种 基因组 气候适应","地方品种 抗旱 抗寒 基因","作物野生近缘种基因组气候适应-4080",0,"10.32942\u002Fx2wq32",{"doi":86,"openalex_id":88,"authors":89,"venue":9,"cited_by_count":85,"oa_url":93,"card":94,"direction":98,"ingested_from":100},"W7214896481",[90],{"name":91,"orcid":92},"Oliver M. Selmoni","https:\u002F\u002Forcid.org\u002F0000-0003-0904-5486","https:\u002F\u002Fecoevorxiv.org\u002Frepository\u002Fobject\u002F15286\u002Fdownload\u002F26501\u002F",{"tldr":95,"method":96,"finding":97,"direction":98,"opportunity":99},"构建14种作物地方品种与野生近缘种的基因组数据库，发现气候适应相关基因的重复关联。","整合3000多个地点的个体基因组、遥感与气候模型，分析基因-环境关联。","16组基因反复与水分和冷季温度关联，部分在多达13种作物中一致。","农业遥感与作物表型","可结合遥感表型与基因组数据，验证这些基因在田间气候适应中的功能并用于育种。","openalex","2026-10-03T23:30:25.850517Z",{"total":65,"page":22,"page_size":65,"items":103},[104,170,222,290,359,416],{"id":105,"title":106,"url":107,"summary":108,"summary_zh":9,"content":9,"source_name":109,"source_url":9,"published_at":110,"category":12,"cover_url":9,"hotness":13,"is_selected":41,"score":111,"score_detail":112,"sources":115,"tags":117,"primary_topic":122,"secondary_topics":128,"classification":135,"search_phrases":157,"slug":160,"view_count":22,"doi":9,"paper":161,"created_at":169},5535,"基于无人机多光谱图像与VGG21模型的小麦渍害调控效果识别","https:\u002F\u002Ffinance.sina.cn\u002F2026-10-16\u002Fdetail-inivmprm8363597.d.html","江苏省农科院农业信息研究所联合中国农科院环发所与湖北省农科院粮作所，在小麦拔节至抽穗、抽穗至灌浆两个阶段设置对照、渍水胁迫、硅肥与氨基酸调控试验，用大疆精灵4采集冠层多光谱影像。VGG21模型对硅肥调控识别正确率超91%，精度96.42%、召回率89.53%。","智慧农业（中英文）2026-10-21","2026-10-21T00:00:00Z",82,{"impact":19,"substance":17,"depth":19,"authority":113,"freshness":13,"relevant":22,"comment":114},14,"省级科研机构联合攻关，方法新颖、数据扎实，对渍害遥感识别与调控评估有实质参考价值，值得入选。",[116],{"name":109,"url":107},[118,27,119,120,121],"智慧农业","作物表型","无人机多光谱","小麦渍害",{"code":123,"slug":124,"name":125,"path":126,"parent_code":127},"A2","wheat","小麦","\u002Ftopic\u002Ffield-crops\u002Fwheat","A",[129,134],{"code":56,"slug":130,"name":131,"path":132,"parent_code":133},"remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing","I",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"status":40,"locked":41,"version":42,"method":43,"evidence":136},{"candidates":137,"agricultural_evidence":14},[138,143,147,152],{"code":123,"score":139,"supported":14,"title":140,"abstract":141,"tags":142},11,[125],[125],[],{"code":56,"score":139,"supported":14,"title":144,"abstract":145,"tags":146},[120],[],[119,27,120],{"code":33,"score":21,"supported":14,"title":148,"abstract":150,"tags":151},[149],"渍害",[],[],{"code":153,"score":22,"supported":41,"title":154,"abstract":155,"tags":156},"I1",[],[],[118],[158,159],"江苏省农科院 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impact","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.agsy.2026.105011","A process-oriented framework for daily dynamic monitoring of summer maize drought: From meteorological stress to agricultural impact。Agricultural Systems","Agricultural Systems","2026-10-11T00:00:00Z",81,{"impact":19,"substance":180,"depth":19,"authority":113,"freshness":13,"relevant":22,"comment":231},"核心期刊提出的面向过程的夏玉米干旱逐日动态监测框架，方法新颖、面向农业信息化应用，时效性强，值得进入每日精选。",[233],{"name":227,"url":225},[118,27,235,236,237],"夏玉米","农业气象","干旱监测",{"code":239,"slug":240,"name":241,"path":242,"parent_code":127},"A3","maize","玉米","\u002Ftopic\u002Ffield-crops\u002Fmaize",[244],{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"status":40,"locked":41,"version":42,"method":43,"evidence":246},{"candidates":247,"agricultural_evidence":14},[248,252,257,261],{"code":33,"score":20,"supported":14,"title":249,"abstract":250,"tags":251},[53],[53],[236,237],{"code":239,"score":253,"supported":14,"title":254,"abstract":255,"tags":256},12,[240],[240],[235],{"code":153,"score":22,"supported":41,"title":258,"abstract":259,"tags":260},[],[],[118],{"code":56,"score":22,"supported":41,"title":262,"abstract":263,"tags":264},[],[],[27],[266,267],"夏玉米 干旱 动态监测","气象胁迫 农业影响 监测框架","夏玉米干旱动态监测-4650",2,"10.1016\u002Fj.agsy.2026.105011",{"doi":270,"openalex_id":272,"authors":273,"venue":227,"cited_by_count":85,"oa_url":225,"card":9,"direction":98,"ingested_from":100},"W7221308782",[274,276,278,280,283,285,287],{"name":275,"orcid":9},"Yuanda Zhang",{"name":277,"orcid":9},"Peijuan Wang",{"name":279,"orcid":9},"Jun Zhu",{"name":281,"orcid":282},"Yang Li","https:\u002F\u002Forcid.org\u002F0000-0001-9021-0201",{"name":284,"orcid":9},"Dianchen Han",{"name":286,"orcid":9},"Dingrong Wu",{"name":288,"orcid":9},"Jianping Guo","2026-10-11T23:30:03.734429Z",{"id":291,"title":292,"url":293,"summary":294,"summary_zh":295,"content":9,"source_name":296,"source_url":293,"published_at":297,"category":12,"cover_url":9,"hotness":13,"is_selected":41,"score":298,"score_detail":299,"sources":302,"tags":304,"primary_topic":309,"secondary_topics":314,"classification":316,"search_phrases":342,"slug":345,"view_count":22,"doi":346,"paper":347,"created_at":358},4516,"SUSTAINABLE WATER MANAGEMENT AND FARM PRODUCTIVITY IN UZBEKISTAN: ECONOMIC OPPORTUNITIES AND CONSTRAINTS IN AGRO- MANAGEMENT","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23204413","This article analyzes the relationship between sustainable management of agricultural water resources and farm productivity in Uzbekistan from an agro-management perspective. Agriculture in the country is significantly dependent on irrigation water, and climate change, limited water resources, aging irrigation infrastructure, rising energy costs, and increasing demand for water make water management a strategic issue. The aim of the study is to identify the economic opportunities for increasing water use efficiency, the impact of modern irrigation technologies on farm productivity, and the main constraints to their implementation. The study was conducted based on a systematic narrative literature review. It analyzed international and institutional sources on water management, irrigation efficiency, climate-adapted agriculture, digital technologies, and agroeconomics. The results show that irrigation planning, drip irrigation, canal modernization, land leveling, soil moisture monitoring, remote sensing, and digital management systems can improve water use efficiency. However, the implementation of these technologies is limited by high initial investment, limited financial resources, lack of technical knowledge, infrastructure problems, and insufficient institutional coordination in water management. The study concluded that sustainable water management in Uzbekistan requires, in addition to technological solutions, training farmers, improving financial mechanisms, developing digital information systems, and strengthening cooperation between water management institutions.","本文从农业管理视角分析乌兹别克斯坦农业水资源可持续管理与农场生产力之间的关系。该国农业高度依赖灌溉用水，而气候变化、水资源有限、灌溉基础设施老化、能源成本上升以及用水需求不断增加，使水资源管理成为战略性问题。本研究旨在识别提高水资源利用效率的经济机遇、现代灌溉技术对农场生产力的影响及其推广实施的主要制约因素。研究基于系统性叙述性文献综述开展，分析了有关水资源管理、灌溉效率、气候适应性农业、数字技术和农业经济学的国际与机构来源资料。结果表明，灌溉规划、滴灌、渠道现代化、土地平整、土壤湿度监测、遥感以及数字化管理系统可以提高水资源利用效率。然而，这些技术的实施受到高额初始投资、资金有限、技术知识缺乏、基础设施问题以及水资源管理领域制度协调不足的制约。研究得出结论，乌兹别克斯坦实现可持续水资源管理，除技术解决方案外，还需要培训农民、完善金融机制、发展数字信息系统，并加强水资源管理机构之间的合作。","Zenodo (CERN European Organization for Nuclear Research)","2026-10-07T00:00:00Z",70,{"impact":179,"substance":19,"depth":300,"authority":253,"freshness":47,"relevant":22,"comment":301},15,"系统综述揭示乌兹别克斯坦农业节水与数字灌溉技术的经济可行性与制度约束，对中亚农业信息化有参考价值，但非国内三农核心议题。",[303],{"name":296,"url":293},[305,27,306,307,308],"数字农业","智慧灌溉","节水农业","乌兹别克斯坦",{"code":310,"slug":311,"name":312,"path":313,"parent_code":37},"H3","irrigation","水资源与灌溉","\u002Ftopic\u002Fenvironment\u002Firrigation",[315],{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"status":40,"locked":41,"version":42,"method":43,"evidence":317},{"candidates":318,"agricultural_evidence":14},[319,325,330,334,338],{"code":310,"score":139,"supported":14,"title":320,"abstract":321,"tags":324},[],[322,323,311],"灌溉","水资源",[306,307],{"code":33,"score":47,"supported":14,"title":326,"abstract":327,"tags":329},[],[50,328,52],"气候适应",[],{"code":56,"score":57,"supported":14,"title":331,"abstract":332,"tags":333},[],[60,61],[27],{"code":64,"score":65,"supported":14,"title":335,"abstract":336,"tags":337},[],[68,69],[],{"code":153,"score":22,"supported":41,"title":339,"abstract":340,"tags":341},[],[],[305],[343,344],"乌兹别克斯坦 灌溉水效率","滴灌 农场生产力","乌兹别克斯坦灌溉水效率-4516","10.5281\u002Fzenodo.23204413",{"doi":346,"openalex_id":348,"authors":349,"venue":296,"cited_by_count":85,"oa_url":293,"card":352,"direction":98,"ingested_from":100},"W7220939870",[350],{"name":351,"orcid":9},"Yusupov Yusufbek",{"tldr":353,"method":354,"finding":355,"direction":356,"opportunity":357},"综述乌兹别克斯坦农业水资源可持续管理与农场生产力的关系及经济制约。","系统叙述性文献综述，分析灌溉效率、数字技术等国际机构资料。","滴灌、遥感等可提效，但受高投资、资金、技术和制度协调不足制约。","农业绿色发展与碳","可实证评估数字灌溉系统在中亚干旱区的小农采纳障碍与政策激励效果。","2026-10-09T23:30:28.853699Z",{"id":360,"title":361,"url":362,"summary":363,"summary_zh":364,"content":9,"source_name":365,"source_url":362,"published_at":366,"category":12,"cover_url":9,"hotness":13,"is_selected":41,"score":367,"score_detail":368,"sources":370,"tags":372,"primary_topic":377,"secondary_topics":378,"classification":379,"search_phrases":397,"slug":400,"view_count":401,"doi":402,"paper":403,"created_at":415},3508,"Environmental Threats to Human Security: Groundwater Collapse, Maladaptive Deepening, And Distressed Agrarian Migration in South India","https:\u002F\u002Fdoi.org\u002F10.55041\u002Fijcope.v2i9.139","Accelerated groundwater depletion and erratic monsoons across South India [IMD Official Portal] have driven a 78.4% borewell failure rate and an average fourfold increase in agrarian debt, structurally forcing a 64.2% permanent out-migration of rural families into low-wage urban informal labour sectors [UNDP Human Development Report]. Environmental degradation and climate change are no longer just ecological concerns; they have transformed into direct, systemic threats to human security. Traditional frameworks often view environmental issues through a scientific or macroeconomic lens. However, a human security paradigm shifts the focus entirely to the vulnerability of individuals and communities. As global temperatures rise, the compounding effects of severe droughts, catastrophic flooding, and accelerating biodiversity loss are actively destabilizing the foundational pillars of human survival. This paper explores the multifaceted pathways through which environmental disruption undermines human security, focusing empirically on the hard-rock aquifer zones of South India. Integrating decadal remote sensing data (2016–2026) with a field survey of \\(N = 450\\) agrarian households, this study examines how climate-induced resource scarcity triggers acute food and water insecurity, drives unprecedented patterns of forced migration, and introduces novel public health crises. Our results indicate a severe hydro-social crisis: average operational borewell depths plummeted from 450 to 1,150 feet, yielding a 78.4% primary borewell failure rate and forcing a 64.2% permanent out-migration rate to regional megacities, where 91.5% of displaced individuals were absorbed into the low-wage informal labor market. Multivariate logistic regression demonstrates that crop failure frequencies (\\(p \u003C 0.001\\)) and borewell-induced debt (\\(p \u003C 0.001\\)) serve as the strongest structural predictors of household displacement. Ultimately, this study argues that safeguarding human security in the 21st century requires a critical shift from reactive crisis management to proactive, decentralized environmental governance, crop diversification, and resilient sub-surface infrastructure development. Keywords: Human security, Environmental security, Climate vulnerability, Threat multiplier, Resource scarcity, Climate-induced migration, Groundwater governance, South India.","南印度地区加速的地下水枯竭与季风异常[IMD官方门户]已导致78.4%的钻井失败率和农业债务平均增长四倍，从结构上迫使64.2%的农村家庭永久外迁至低工资城市非正规劳动部门[UNDP人类发展报告]。环境退化与气候变化已不再仅仅是生态问题；它们已转变为对人类安全的直接、系统性威胁。传统框架往往从科学或宏观经济视角审视环境问题。然而，人类安全范式将焦点完全转向个体与社区的脆弱性。随着全球气温上升，严重干旱、灾难性洪水与加速的生物多样性丧失的复合效应正在积极动摇人类生存的基础支柱。本文探讨环境破坏削弱人类安全的多重路径，并以南印度硬岩含水层地带为实证研究重点。本研究将十年期遥感数据（2016—2026年）与对\\(N = 450\\)户农业家庭的实地调查相结合，考察气候引发的资源稀缺如何触发严重的粮食与水不安全、驱动前所未有的被迫迁移模式，并引入新型公共卫生危机。研究结果表明存在严重的水—社会危机：平均运行钻井深度从450英尺骤降至1,150英尺，导致78.4%的初级钻井失败率，并迫使64.2%的永久外迁率流向区域大城市，其中91.5%的迁移人口被低工资非正规劳动力市场吸收。多变量逻辑回归表明，作物歉收频率（\\(p \u003C 0.001\\)）和钻井引发的债务（\\(p \u003C 0.001\\)）是家庭迁移最强的结构性预测因子。最终，本研究认为，保障21世纪的人类安全需要从被动危机管理向主动、分散化的环境治理、作物多样化及具有韧性的地下基础设施建设进行关键性转变。关键词：人类安全，环境安全，气候脆弱性，威胁倍增器，资源稀缺，气候诱发迁移，地下水治理，南印度。","International Journal of Creative and Open Research in Engineering and Management","2026-09-22T00:00:00Z",73,{"impact":19,"substance":17,"depth":19,"authority":65,"freshness":47,"relevant":22,"comment":369},"以十年遥感与450户实地调查量化地下水枯竭驱动的农业移民，数据扎实但期刊权威性偏低，可作为国际农业资源安全参考。",[371],{"name":365,"url":362},[27,373,374,375,376],"地下水治理","气候移民","农村水资源","小农生计",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":41,"version":42,"method":43,"evidence":380},{"candidates":381,"agricultural_evidence":14},[382,386,390],{"code":33,"score":47,"supported":14,"title":383,"abstract":384,"tags":385},[],[50,51,52],[],{"code":56,"score":57,"supported":14,"title":387,"abstract":388,"tags":389},[],[60,61],[27],{"code":391,"score":65,"supported":14,"title":392,"abstract":393,"tags":396},"H6",[],[394,395],"生物多样性","biodiversity",[],[398,399],"南印度 地下水 农业移民","硬岩含水层 井灌 农户","南印度地下水农业移民-3508",3,"10.55041\u002Fijcope.v2i9.139",{"doi":402,"openalex_id":404,"authors":405,"venue":365,"cited_by_count":85,"oa_url":408,"card":409,"direction":98,"ingested_from":100},"W7213966502",[406],{"name":407,"orcid":9},"Dr. Lalith Kumar Dharavath","https:\u002F\u002Fijcope.org\u002Fwp-content\u002Fuploads\u002F2026\u002F09\u002FEnvironmental-threats-to-human-security-Groundwater-Collapse-maladaptive-deepening-and-distressed-agrarian-migration-in-south-India.pdf",{"tldr":410,"method":411,"finding":412,"direction":413,"opportunity":414},"研究印度南部地下水枯竭如何通过农业失败与债务迫使农民永久迁入城市非正规部门。","整合2016–2026年遥感数据与450户农户调查，用多元逻辑回归分析。","井深从450英尺降至1150英尺，78.4%水井失效，64.2%家庭永久外迁，91.5%进入低薪非正","数字乡村与农业信息化","可结合遥感与农户调查构建地下水—债务—迁移预警模型，探索分散式水治理与作物多样化干预。","2026-09-25T23:30:34.009974Z",{"id":417,"title":418,"url":419,"summary":420,"summary_zh":421,"content":9,"source_name":422,"source_url":419,"published_at":423,"category":12,"cover_url":9,"hotness":13,"is_selected":41,"score":229,"score_detail":424,"sources":426,"tags":428,"primary_topic":433,"secondary_topics":434,"classification":441,"search_phrases":466,"slug":469,"view_count":206,"doi":470,"paper":471,"created_at":492},3263,"Identifying drought-responsive candidate genes in root and shoot tissues of wheat (Triticum aestivum L.) through RNA sequencing, cluster analysis, weighted gene co-expression network analysis, and machine learning models","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1952456","Drought stress severely affects the growth, development, and yield formation of wheat. However, the differentiated regulatory mechanisms of wheat roots and shoots during drought adaptation remain to be further analyzed. Therefore, this study used RNA-seq datasets of roots and shoots from multiple wheat varieties, combined with differential expression analysis, Gene Ontology (GO) enrichment analysis, clustering analysis, weighted gene co-expression network analysis (WGCNA), and machine learning were used to characterize drought-responsive transcriptional changes. Differential expression analysis identified 90 and 3,991 differentially expressed genes (DEGs) in roots under DS1 and DS2 respectively, compared with 34 and 1,940 DEGs in shoots. Functional enrichment analysis indicated that root DEGs were mainly involved in root growth, cell wall remodeling, water transport, and osmotic adjustment processes, whereas shoot DEGs are mainly enriched in processes related to stomatal regulation, photosynthesis, lipid metabolism, and oxidative stress responses. WGCNA identified 18 and 19 co-expression modules in roots and shoots, respectively, among which the yellow module was significantly correlated with the response to drought stress in root and shoot tissues. To further screen drought-responsive candidate genes from these modules, we compared multiple machine learning models. The XGBoost model achieved the highest and AUC in both roots and shoots. Combined with SHAP feature contribution analysis, 30 drought-responsive candidate genes with high discriminatory power were identified separately in roots and shoots. Analysis of cis -acting elements in candidate gene promoters revealed abundant drought- and stress-responsive elements, including MYB, G-box, ABRE, MYC, MBS, and LTR. MYB (183 in roots and 164 in shoots), G-box (168 and 98), and ABRE (148 and 86) were particularly abundant, and several candidate genes contained more than five ABRE copies in their promoters, suggesting potential involvement in ABA-mediated drought responses. This study reveals the different transcriptional response processes of wheat roots and shoots under drought stress, and identifies key co-expression modules and core candidate genes through WGCNA combined with XGBoost and SHAP analysis. These findings provide a basis for understanding organ-specific molecular responses to drought stress and offer potential targets for improving drought tolerance in wheat.","干旱胁迫严重影响小麦的生长发育和产量形成。然而，小麦根系和地上部在干旱适应过程中的差异化调控机制仍有待深入解析。因此，本研究利用多个小麦品种根系和地上部的RNA-seq数据集，结合差异表达分析、基因本体（GO）富集分析、聚类分析、加权基因共表达网络分析（WGCNA）和机器学习方法，表征干旱响应转录变化。差异表达分析在DS1和DS2条件下分别鉴定出根系中90个和3,991个差异表达基因（DEGs），而地上部中分别为34个和1,940个DEGs。功能富集分析表明，根系DEGs主要参与根系生长、细胞壁重塑、水分运输和渗透调节过程，而地上部DEGs主要富集于气孔调控、光合作用、脂质代谢和氧化胁迫响应相关过程。WGCNA在根系和地上部中分别鉴定出18个和19个共表达模块，其中黄色模块与根系和地上部组织对干旱胁迫的响应显著相关。为进一步从这些模块中筛选干旱响应候选基因，我们比较了多种机器学习模型。XGBoost模型在根系和地上部中均取得了最高的AUC。结合SHAP特征贡献分析，分别在根系和地上部中鉴定出30个具有高判别力的干旱响应候选基因。候选基因启动子中的顺式作用元件分析揭示了丰富的干旱和胁迫响应元件，包括MYB、G-box、ABRE、MYC、MBS和LTR。其中MYB（根系183个，地上部164个）、G-box（168个和98个）和ABRE（148个和86个）尤为丰富，且多个候选基因的启动子中含有超过5个ABRE拷贝，表明其可能参与ABA介导的干旱响应。本研究揭示了小麦根系和地上部在干旱胁迫下不同的转录响应过程，并通过WGCNA结合XGBoost和SHAP分析鉴定了关键共表达模块和核心候选基因。这些发现为理解干旱胁迫的器官特异性分子响应提供了基础，并为提高小麦耐旱性提供了潜在靶点。","Frontiers in Sustainable Food Systems","2026-09-23T00:00:00Z",{"impact":19,"substance":17,"depth":19,"authority":20,"freshness":13,"relevant":22,"comment":425},"该研究结合多组学与机器学习挖掘小麦抗旱候选基因，方法新颖、数据扎实，对分子育种有参考价值，值得进入每日精选。",[427],{"name":422,"url":419},[429,28,430,431,432],"农业人工智能","基因挖掘","作物育种","小麦抗旱",{"code":123,"slug":124,"name":125,"path":126,"parent_code":127},[435,440],{"code":436,"slug":437,"name":438,"path":439,"parent_code":133},"I2","agricultural-ai","农业AI与大模型","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-ai",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"status":40,"locked":41,"version":42,"method":43,"evidence":442},{"candidates":443,"agricultural_evidence":14},[444,450,454,458,462],{"code":436,"score":300,"supported":14,"title":445,"abstract":447,"tags":449},[446],"machine learning",[448,446],"机器学习",[429],{"code":123,"score":113,"supported":14,"title":451,"abstract":452,"tags":453},[124],[125,124],[],{"code":33,"score":113,"supported":14,"title":455,"abstract":456,"tags":457},[53],[51,53],[],{"code":72,"score":22,"supported":41,"title":459,"abstract":460,"tags":461},[],[],[28],{"code":77,"score":22,"supported":41,"title":463,"abstract":464,"tags":465},[],[],[430],[467,468],"小麦 抗旱基因 RNA测序","小麦 根系 地上部 干旱响应","小麦抗旱基因RNA测序-3263","10.3389\u002Ffsufs.2026.1952456",{"doi":470,"openalex_id":472,"authors":473,"venue":422,"cited_by_count":85,"oa_url":419,"card":486,"direction":490,"ingested_from":100},"W7214062209",[474,476,479,481,483],{"name":475,"orcid":9},"Tianle Ji",{"name":477,"orcid":478},"Baoyue Cui","https:\u002F\u002Forcid.org\u002F0009-0000-5881-9682",{"name":480,"orcid":9},"Jinjie Yin",{"name":482,"orcid":9},"Xianyong Meng",{"name":484,"orcid":485},"Jun Yan","https:\u002F\u002Forcid.org\u002F0000-0001-6883-8529",{"tldr":487,"method":488,"finding":489,"direction":490,"opportunity":491},"通过RNA-seq、WGCNA和XGBoost-SHAP分析，鉴定小麦根和茎中响应干旱的候选基因。","RNA-seq、差异表达、WGCNA、XGBoost与SHAP特征分析。","根和茎干旱响应机制不同，各鉴定出30个候选基因，启动子富含MYB、G-box和ABRE元件。","农业人工智能与决策模型","可结合多组学与深度学习构建器官特异性干旱调控网络，并开展候选基因功能验证。","2026-09-23T23:30:07.062126Z"]