[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-5480":3,"related-5480":147},{"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":33,"secondary_topics":39,"classification":40,"search_phrases":106,"slug":109,"view_count":110,"doi":111,"paper":112,"created_at":146},5480,"Sustainable Plant Disease Management: Current Advances, Challenges, and Future Directions","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fsu182010661","Sustainable plant disease management is essential for maintaining agricultural productivity, environmental health, and global food security. Climate change has increased crop vulnerability to emerging and re-emerging plant diseases, posing significant challenges for agricultural sustainability. Although synthetic chemical pesticides have long been effective for disease control, their extensive use is increasingly questioned because of environmental contamination, pathogen resistance, and potential risks to human and ecosystem health. Consequently, plant disease management (PDM) is shifting toward more sustainable and integrated approaches. Future strategies are expected to incorporate multiple disciplines, including: (i) biological control and microbiome engineering to enhance natural plant defense mechanisms; (ii) advanced molecular and genomic technologies, such as CRISPR\u002FCas systems, RNA interference (RNAi), and epigenome editing, to develop durable disease resistance; (iii) smart delivery systems for the precise application of antimicrobial compounds and defense elicitors; (iv) nanotechnology-based platforms for the targeted delivery of nutrients, pesticides, and biocontrol agents, improving efficacy while reducing chemical inputs; (v) digital and precision agriculture technologies, including remote sensing, unmanned aerial vehicles (UAVs), and artificial intelligence (AI)-based diagnostics, to facilitate real-time disease surveillance and targeted interventions; and (vi) agroecological practices such as crop diversification, soil health restoration, and climate-smart farming to enhance agroecosystem resilience. These innovations aim not only to suppress plant pathogens but also to build sustainable, adaptive, and resilient agricultural systems that address future environmental and biological challenges.","可持续的植物病害管理对于维持农业生产力、环境健康和全球粮食安全至关重要。气候变化加剧了作物对新发和再发植物病害的脆弱性，给农业可持续性带来了重大挑战。尽管合成化学农药长期以来在病害防控中行之有效，但其广泛使用正日益受到质疑，原因包括环境污染、病原菌抗药性以及对人类和生态系统健康的潜在风险。因此，植物病害管理（plant disease management, PDM）正转向更加可持续和综合的途径。未来的策略预计将融合多个学科，包括：(i) 生物防治和微生物组工程，以增强植物天然防御机制；(ii) 先进的分子和基因组技术，如CRISPR\u002FCas系统、RNA干扰（RNAi）和表观基因组编辑，以培育持久抗病性；(iii) 用于精准施用抗菌化合物和防御诱导子的智能递送系统；(iv) 基于纳米技术的平台，用于靶向递送养分、农药和生物防治剂，在提高功效的同时减少化学投入；(v) 数字和精准农业技术，包括遥感、无人机（UAVs）和基于人工智能（AI）的诊断，以促进实时病害监测和靶向干预；以及(vi) 农业生态实践，如作物多样化、土壤健康恢复和气候智慧型农业，以增强农业生态系统的韧性。这些创新不仅旨在抑制植物病原菌，还旨在构建可持续、适应性强且具有韧性的农业系统，以应对未来的环境和生物挑战。",null,"Sustainability","2026-10-20T00:00:00Z","论文",10,false,81,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},22,20,18,13,8,1,"系统综述可持续植物病害管理六大技术方向，涵盖AI诊断、纳米递送与基因编辑，对智慧农业与绿色防控具参考价值。",[25],{"name":10,"url":6},[27,28,29,30,31,32],"智慧农业","精准农业","基因编辑","植物病害","生物防治","纳米技术",{"code":34,"slug":35,"name":36,"path":37,"parent_code":38},"F4","crop-protection","农药与绿色防控","\u002Ftopic\u002Finputs-equipment\u002Fcrop-protection","F",[],{"status":41,"locked":14,"version":42,"method":43,"evidence":44},"classified","2026-10-22.2","rules",{"candidates":45,"agricultural_evidence":48},[46,53,59,67,74,81,88,95,101],{"code":47,"score":21,"supported":48,"title":49,"abstract":50,"tags":52},"I1",true,[],[28,51],"precision agriculture",[27,28],{"code":34,"score":54,"supported":48,"title":55,"abstract":56,"tags":58},7,[],[57,31],"农药",[31],{"code":60,"score":61,"supported":48,"title":62,"abstract":63,"tags":66},"A8",6,[],[64,65],"粮食安全","food security",[],{"code":68,"score":61,"supported":48,"title":69,"abstract":70,"tags":73},"H2",[],[71,72],"土壤","soil",[],{"code":75,"score":61,"supported":48,"title":76,"abstract":77,"tags":80},"H7",[],[78,79],"气候变化","climate change",[],{"code":82,"score":61,"supported":48,"title":83,"abstract":84,"tags":87},"I3",[],[85,86],"遥感","remote sensing",[],{"code":89,"score":90,"supported":48,"title":91,"abstract":92,"tags":94},"H6",3,[],[93],"农业生态",[],{"code":96,"score":90,"supported":48,"title":97,"abstract":98,"tags":100},"I2",[],[99],"artificial intelligence",[],{"code":102,"score":22,"supported":14,"title":103,"abstract":104,"tags":105},"F2",[],[],[29],[107,108],"CRISPR RNAi 作物抗病","基因编辑 智慧农业 植物病害 生物防治","CRISPRRNAi作物抗病-5480",0,"10.3390\u002Fsu182010661",{"doi":111,"openalex_id":113,"authors":114,"venue":10,"cited_by_count":110,"oa_url":6,"card":139,"direction":143,"ingested_from":145},"W7223044776",[115,118,121,124,127,130,133,136],{"name":116,"orcid":117},"Karim M. Hassan","https:\u002F\u002Forcid.org\u002F0000-0002-1241-2307",{"name":119,"orcid":120},"Basma T. Abd-Elhalim","https:\u002F\u002Forcid.org\u002F0000-0002-3009-332X",{"name":122,"orcid":123},"Mohamed K. Abou El-Nasr","https:\u002F\u002Forcid.org\u002F0000-0003-1451-833X",{"name":125,"orcid":126},"Essam Yosef Abdul-Hafeez","https:\u002F\u002Forcid.org\u002F0000-0003-4744-4672",{"name":128,"orcid":129},"Ahmed N. Abdelhamid","https:\u002F\u002Forcid.org\u002F0000-0002-1326-7885",{"name":131,"orcid":132},"Mostafa Abdelkader","https:\u002F\u002Forcid.org\u002F0000-0003-2339-5087",{"name":134,"orcid":135},"Mohamed Abd El-Hamed Nasser","https:\u002F\u002Forcid.org\u002F0000-0002-0328-2969",{"name":137,"orcid":138},"Mahmoud A. A. Ali","https:\u002F\u002Forcid.org\u002F0000-0002-9062-0048",{"tldr":140,"method":141,"finding":142,"direction":143,"opportunity":144},"综述植物病害可持续管理的多学科前沿进展、挑战与未来方向。","文献综述，整合生物防治、基因编辑、纳米递送、数字农业与生态农艺。","未来病害管理需融合生物、分子、纳米与数字技术构建韧性农业系统。","智慧农业 \u002F 农业物联网","遥感、无人机与AI诊断的实时病害监测闭环仍缺田间验证与低成本落地研究。","openalex","2026-10-21T23:30:09.242484Z",{"total":61,"page":22,"page_size":61,"items":148},[149,271,324,378,459,505],{"id":150,"title":151,"url":152,"summary":153,"summary_zh":154,"content":9,"source_name":155,"source_url":152,"published_at":156,"category":12,"cover_url":9,"hotness":13,"is_selected":48,"score":157,"score_detail":158,"sources":161,"tags":163,"primary_topic":167,"secondary_topics":173,"classification":175,"search_phrases":221,"slug":224,"view_count":225,"doi":226,"paper":227,"created_at":270},4083,"Wheat Rust Diseases: Global Impact, Integrated Disease Management, and Emerging Biotechnological Innovations for Sustainable Crop Protection","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fbiology15191756","Wheat (Triticum aestivum L.) remains one of the most important staple crops worldwide and serves as a primary source of calories and protein for billions of people. Global wheat production, however, continues to be threatened by rust diseases caused by Puccinia triticina, Puccinia striiformis f. sp. tritici and Puccinia graminis f. sp. tritici. These pathogens are highly adaptive and frequently give rise to new virulent races, causing resistance in wheat cultivars to breakdown. Under favorable environmental conditions, severe epidemics can develop and substantial yield losses may occur. In response to these challenges, traditional management approaches such as resistant cultivars, crop rotation, sanitation and fungicide application have long been employed in wheat production systems. Yet these strategies have increasingly been constrained by resistance breakdown, genetic uniformity in modern cultivars, and climate-driven changes in pathogen distribution. Conventional management practices are evaluated alongside emerging technological solutions including genomic-assisted breeding, gene pyramiding, CRISPR-based genome editing, biological control agents and precision agriculture tools. In addition, nanotechnology has emerged as a promising tool in plant disease management, where nanoparticles such as silver, copper and zinc oxide exhibit strong antifungal activity and enable targeted delivery of agrochemicals. Nano-enabled formulations can enhance fungicide efficiency, reduce chemical inputs and improve plant defense responses, offering a sustainable complement to existing wheat rust management strategies. Particular attention is given to integrated disease management strategies, which combine traditional agronomic practices with modern surveillance technologies such as remote sensing, artificial intelligence-based forecasting models, and pathogen genomics. These combined approaches can improve resistance durability and build more resilient wheat production systems. Future directions emphasize climate adaptation, global surveillance and collaborative breeding. In an era of increasing climatic uncertainty and evolving pathogen populations, durable rust management will depend on coordinated global efforts that align scientific innovation, farmer adoption, and policy support to safeguard wheat productivity and global food security.","小麦（Triticum aestivum L.）仍是全球最重要的主粮作物之一，是数十亿人热量和蛋白质的主要来源。然而，全球小麦生产持续受到由小麦叶锈菌（Puccinia triticina）、小麦条锈菌（Puccinia striiformis f. sp. tritici）和小麦秆锈菌（Puccinia graminis f. sp. tritici）引起的锈病威胁。这些病原菌适应性极强，频繁产生新的毒性小种，导致小麦品种抗性丧失。在有利的环境条件下，病害可严重流行并造成大幅产量损失。为应对这些挑战，小麦生产体系中长期采用抗病品种、轮作、田园卫生和杀菌剂施用等传统管理措施。然而，这些策略日益受到抗性丧失、现代品种遗传单一化以及气候驱动的病原菌分布变化的制约。本文在评估传统管理实践的同时，也探讨了新兴技术解决方案，包括基因组辅助育种、基因聚合、基于CRISPR的基因组编辑、生物防治制剂和精准农业工具。此外，纳米技术已成为植物病害管理中有前景的工具，其中银、铜和氧化锌等纳米颗粒表现出强抗真菌活性，并能够实现农化品的靶向递送。纳米制剂可提高杀菌剂效率、减少化学投入并改善植物防御反应，为现有小麦锈病管理策略提供了可持续的补充。本文特别关注病害综合管理策略，即将传统农艺措施与遥感、基于人工智能的预测模型和病原菌基因组学等现代监测技术相结合。这些综合方法可提高抗性持久性并构建更具韧性的小麦生产体系。未来方向强调气候适应、全球监测和协作育种。在气候不确定性日益加剧和病原菌群体不断演化的时代，持久的锈病管理将依赖于协调一致的全球努力，将科学创新、农民采纳和政策支持相结合，以保障小麦生产和全球粮食安全。","Biology","2026-10-02T00:00:00Z",82,{"impact":17,"substance":159,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":160},21,"系统综述小麦锈病全球影响与基因组育种、纳米农药、遥感与AI预测等前沿防控手段，专业性强，对保障粮食安全具参考价值。",[162],{"name":155,"url":152},[27,64,29,164,165,166],"纳米农药","遥感监测","小麦锈病",{"code":168,"slug":169,"name":170,"path":171,"parent_code":172},"A2","wheat","小麦","\u002Ftopic\u002Ffield-crops\u002Fwheat","A",[174],{"code":34,"slug":35,"name":36,"path":37,"parent_code":38},{"status":41,"locked":14,"version":42,"method":43,"evidence":176},{"candidates":177,"agricultural_evidence":48},[178,183,189,193,197,201,208,213,217],{"code":168,"score":179,"supported":48,"title":180,"abstract":181,"tags":182},14,[169],[170,169],[],{"code":34,"score":184,"supported":48,"title":185,"abstract":187,"tags":188},12,[186],"crop protection",[31],[164],{"code":60,"score":54,"supported":48,"title":190,"abstract":191,"tags":192},[],[64,65],[64],{"code":47,"score":54,"supported":48,"title":194,"abstract":195,"tags":196},[],[28,51],[27],{"code":82,"score":54,"supported":48,"title":198,"abstract":199,"tags":200},[],[85,86],[165],{"code":202,"score":61,"supported":48,"title":203,"abstract":204,"tags":207},"A7",[],[205,206],"轮作","crop rotation",[],{"code":75,"score":90,"supported":48,"title":209,"abstract":210,"tags":212},[],[211],"气候适应",[],{"code":96,"score":90,"supported":48,"title":214,"abstract":215,"tags":216},[],[99],[],{"code":102,"score":22,"supported":14,"title":218,"abstract":219,"tags":220},[],[],[29],[222,223],"小麦锈病 综合防控","Puccinia triticina 抗性育种","小麦锈病综合防控-4083",2,"10.3390\u002Fbiology15191756",{"doi":226,"openalex_id":228,"authors":229,"venue":155,"cited_by_count":110,"oa_url":152,"card":263,"direction":269,"ingested_from":145},"W7215995869",[230,233,236,239,242,245,247,249,251,254,257,260],{"name":231,"orcid":232},"Mingzheng Duan","https:\u002F\u002Forcid.org\u002F0000-0002-3486-024X",{"name":234,"orcid":235},"Muhammad Asif Shabbir","https:\u002F\u002Forcid.org\u002F0009-0002-5452-5040",{"name":237,"orcid":238},"Mustansar Mubeen","https:\u002F\u002Forcid.org\u002F0009-0003-9231-9560",{"name":240,"orcid":241},"Yasir Iftikhar","https:\u002F\u002Forcid.org\u002F0000-0002-4182-8969",{"name":243,"orcid":244},"Naureen Anwar","https:\u002F\u002Forcid.org\u002F0000-0003-1254-1720",{"name":246,"orcid":9},"Shiping Jiang",{"name":248,"orcid":9},"Zhifang He",{"name":250,"orcid":9},"Sirui Han",{"name":252,"orcid":253},"Ahmed Mahmoud Ismail","https:\u002F\u002Forcid.org\u002F0000-0001-9679-640X",{"name":255,"orcid":256},"Khalid Mushabab Al Syaad","https:\u002F\u002Forcid.org\u002F0000-0002-2372-9975",{"name":258,"orcid":259},"Ahmed Ezzat Ahmed","https:\u002F\u002Forcid.org\u002F0000-0002-4532-0636",{"name":261,"orcid":262},"Muhammad Umer","https:\u002F\u002Forcid.org\u002F0000-0002-3957-0196",{"tldr":264,"method":265,"finding":266,"direction":267,"opportunity":268},"综述小麦锈病全球影响与综合防控，并展望基因编辑、纳米技术、遥感与AI预测等新兴手段。","文献综述，整合抗病育种、CRISPR、纳米制剂、遥感与AI预测模型。","综合传统农艺与现代监测技术可提升抗性持久性，纳米与基因编辑是可持续补充。","农业人工智能与决策模型","可探索遥感与AI预测模型同病原基因组数据融合的实时预警系统，并评估纳米制剂田间长期生态效应。","农业遥感与作物表型","2026-10-03T23:30:32.282761Z",{"id":272,"title":273,"url":274,"summary":275,"summary_zh":9,"content":9,"source_name":276,"source_url":9,"published_at":277,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":278,"score_detail":279,"sources":281,"tags":283,"primary_topic":287,"secondary_topics":288,"classification":289,"search_phrases":311,"slug":314,"view_count":90,"doi":9,"paper":315,"created_at":323},2734,"面向智慧农业的农业移动平台综述——设计要求、平台类型、应用与未来展望","https:\u002F\u002Fwww.ebiotrade.com\u002Fnewsf\u002F2026-9\u002F20260914082445314.htm","综述从设计与操作要求、平台分类、动力总成与移动技术以及农业应用四个互补视角考察农业移动平台。轮式、履带式、腿式及轮腿式、轨道引导或约束运动平台在移动特性和适用操作环境方面进行比较。代表性应用包括作物监测和表型分析、精准作物管理、除草和收获,以及运输和多用途作业。未来发展应强调面向任务的重新配置平台、标准化机械和电气接口、任务级能源管理。","Agriculture (MDPI) 2026年9月14日","2026-09-14T00:00:00Z",78,{"impact":19,"substance":18,"depth":19,"authority":179,"freshness":21,"relevant":22,"comment":280},"核心期刊综述系统梳理农业移动平台的设计要求、平台类型与应用场景，并提出模块化重构、标准化接口与任务级能源管理等方向，对智慧农业装备研发具有参考价值。",[282],{"name":276,"url":274},[27,284,28,285,286],"农业机器人","自主导航","农业装备",{"code":34,"slug":35,"name":36,"path":37,"parent_code":38},[],{"status":41,"locked":14,"version":42,"method":43,"evidence":290},{"candidates":291,"agricultural_evidence":48},[292,296,301,306],{"code":47,"score":13,"supported":48,"title":293,"abstract":294,"tags":295},[27],[],[27,28],{"code":34,"score":90,"supported":48,"title":297,"abstract":298,"tags":300},[],[299],"除草",[],{"code":302,"score":225,"supported":14,"title":303,"abstract":304,"tags":305},"F5",[],[],[286,285],{"code":307,"score":22,"supported":14,"title":308,"abstract":309,"tags":310},"F6",[],[],[284],[312,313],"农业机器人 农业装备 智慧农业 精准农业","农业机器人 农业装备","农业机器人农业装备智慧农业精准农业-2734",{"doi":9,"openalex_id":9,"authors":316,"venue":9,"cited_by_count":110,"oa_url":9,"card":317,"direction":143,"ingested_from":322},[],{"tldr":318,"method":319,"finding":320,"direction":143,"opportunity":321},"综述农业移动平台的设计要求、平台类型、动力与移动技术及农业应用，并展望未来方向。","文献综述，比较轮式、履带式、腿式等平台及动力总成与移动技术。","未来应发展面向任务可重构平台、标准化机电接口与任务级能源管理。","可重构平台与标准化接口如何适配多任务农田作业，是值得深入的研究空白。","agent","2026-09-17T00:04:40.709195Z",{"id":325,"title":326,"url":327,"summary":328,"summary_zh":9,"content":329,"source_name":330,"source_url":9,"published_at":331,"category":332,"cover_url":9,"hotness":13,"is_selected":14,"score":333,"score_detail":334,"sources":337,"tags":339,"primary_topic":344,"secondary_topics":345,"classification":346,"search_phrases":373,"slug":376,"view_count":22,"doi":9,"paper":9,"created_at":377},5108,"广西西林:粤桂协作赋能 深山桔园请来「AI管家」 化肥农药减量20%以上","https:\u002F\u002Fdifang.gmw.cn\u002Fgx\u002F2026-10\u002F16\u002Fcontent_39050109.htm","广西百色市西林县古障镇仙仁掌村桔园,无人机升空巡测快速识别叶片黄化、缺水、病虫害等异常。依托粤桂协作对口帮扶资源,西林联合深圳市罗湖区、深圳市丰农控股,在233亩核心示范基地搭建「无人机+AI」全域监测平台,气象、墒情、虫情、灾情监测设备全天候运行。核心示范区化肥、农药用量减少20%以上,人工管护成本下降30%,果树亩均产量提升15%,优质果率提高8个百分点;全镇果园管理效率提升60%,每年减少农业灾害损失100万至150万元,全域每年节约农资成本超1426万元。","![Image 3](https:\u002F\u002Fimg.gmw.cn\u002Fpic\u002FgmwLogo_share.jpg)\n\n点击右上角![Image 4](https:\u002F\u002Fimg.gmw.cn\u002Fpic\u002Fmgmw\u002Ficonshare.png)微信好友\n\n![Image 5](https:\u002F\u002Fimg.gmw.cn\u002Fpic\u002Fmgmw\u002Fpengyouquan.png)朋友圈\n\n![Image 6](https:\u002F\u002Fimg.gmw.cn\u002Fpic\u002Fmgmw\u002Flayershare.png)\n\n请使用浏览器分享功能进行分享\n\n![Image 7](https:\u002F\u002Fimg.gmw.cn\u002Fpic\u002Fmgmw\u002Farrow.png)\n\n[![Image 8: 地方频道](https:\u002F\u002Fimg.gmw.cn\u002Fpic\u002Fcontentlogo\u002F12684.gif)](https:\u002F\u002Fdifang.gmw.cn\u002F)\n\n![Image 9](https:\u002F\u002Fimg.gmw.cn\u002Fpic\u002Fmgmw\u002Fmline.png)![Image 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[时评](https:\u002F\u002Fguancha.gmw.cn\u002F)\n*   [理论](https:\u002F\u002Ftheory.gmw.cn\u002F)\n*   [文化](https:\u002F\u002Fculture.gmw.cn\u002F)\n*   [科技](https:\u002F\u002Ftech.gmw.cn\u002F)\n*   [教育](https:\u002F\u002Fedu.gmw.cn\u002F)\n*   [![Image 13](https:\u002F\u002Fimg.gmw.cn\u002Fpic\u002Fconimages\u002Fcon_headIcon.png)](https:\u002F\u002Fwww.gmw.cn\u002Fmap.htm)\n\n正在阅读：广西西林:粤桂协作赋能，深山桔园请来 “AI 管家”\n\n[首页](https:\u002F\u002Fwww.gmw.cn\u002F)>[![Image 14](https:\u002F\u002Fimg.gmw.cn\u002Fpic\u002Fcontentlogo\u002F12684.gif)](https:\u002F\u002Fdifang.gmw.cn\u002F)[地方频道](https:\u002F\u002Fdifang.gmw.cn\u002F)>[地方频道－广西](https:\u002F\u002Fdifang.gmw.cn\u002Fgx\u002F)>[当地新闻](https:\u002F\u002Fdifang.gmw.cn\u002Fgx\u002Fnode_12944.htm)>正文\n\n# 广西西林:粤桂协作赋能，深山桔园请来 “AI 管家”\n\n来源：[光明日报客户端](https:\u002F\u002Fapp.gmdaily.cn\u002Fas\u002Fopened\u002Fn\u002F59cdd34806ab4ec7b66540c2cb9dc89e)2026-10-16 12:43\n\n[](https:\u002F\u002Fdifang.gmw.cn\u002Fgx\u002F2026-10\u002F16\u002Fcontent_39050109.htm)[X](javascript:;)[](https:\u002F\u002Fdifang.gmw.cn\u002Fgx\u002F2026-10\u002F16\u002Fcontent_39050109.htm)\n\n清晨，广西百色市西林县古障镇仙仁掌村桔园，晨露未消，无人机升空巡测，快速识别叶片黄化、缺水、病虫害等果园异常。智慧管护，正成为当地沙糖桔产业的生产常态。\n\n西林是“中国沙糖桔之乡”，沙糖桔种植面积达22.46万亩，是群众增收的支柱产业。但境内山地多、果园地块零散，长期沿用传统管护模式，施肥打药依靠经验，收成受天气影响大。粗放种植造成果品品质不稳定，病虫害、自然灾害带来减产风险，制约产业效益提升。\n\n![Image 15: twitter](https:\u002F\u002Fimgdifang.gmw.cn\u002Fattachement\u002Fpng\u002Fsite2\u002F20261016\u002Fe4232a100a384446b18875424e94dd72.png)\n\n依托粤桂协作对口帮扶资源，西林联合深圳市罗湖区、深圳市丰农控股，在古障镇仙仁掌村打造智慧农业试点，搭建“无人机+AI”全域监测平台，探索山地桔园数字化管护，破解“看天吃饭”困境。\n\n在233亩核心示范基地，气象、墒情、虫情、灾情监测设备全天候运行，无人机定期空中巡园，土壤、病虫害、气象等数据实时回传。AI系统自动分析研判，给出农事指导，改变过去果农肉眼巡查果园的传统方式。\n\n项目按照“基地做示范，全镇一张图，全县一个码”三步走推进智慧果园建设。先以上、下俄屯基地打造样板，配套海拔梯度采集点，跑通“数据采集—AI建模—标准输出”流程，优化适配本地沙糖桔的算法模型，解决智慧农业技术“水土不服”问题。第二步完成全镇7.13万亩沙糖桔标准化航测，建成“产业一张图”数字平台，地块信息、产业风险一屏可查，产业管理由凭经验估变为凭数据管。第三步打造“掌上桔事”小程序，把灾害预警、农事指导、AI问诊直达农户手机。目前小程序正在内测，上线后将惠及全县8万多户果农。\n\n![Image 16: twitter](https:\u002F\u002Fimgdifang.gmw.cn\u002Fattachement\u002Fpng\u002Fsite2\u002F20261016\u002Ff025b13ba3384034afba14495fc87f4d.png)\n\n“以前种果全靠摸索，天天跑果园巡查，病虫害也不好分辨。现在靠AI系统管护省心很多，期待明年好收成。”首批试点果农、古障镇仙仁掌村上俄屯组长秦锋说。\n\n数字化落地成效显著。核心示范区化肥、农药用量减少20%以上，人工管护成本下降30%，果树亩均产量提升15%，优质果率提高8个百分点；全镇果园管理效率提升60%，每年减少农业灾害损失100万至150万元，全域每年节约农资成本超1426万元。\n\n不少地方智慧农业容易变成观赏“盆景”。西林立足山地特点，聚焦生产实效、农户增收，让数字技术扎根田间。丰农控股广西总经理陈洁介绍，依托AI技术加持，深山沙糖桔产业迎来新机遇。西林计划用三到五年推动沙糖桔产业从“靠人力、凭经验”转向“靠系统、用数据”，打造山地沙糖桔全链路数智化样板。（光明日报全媒体记者 周仕兴 通讯员 杨先能）\n\n[ 责编：王宏泽 ]\n\n阅读剩余全文（）\n\n![Image 17](https:\u002F\u002Fimg.gmw.cn\u002Fcontent_banner\u002Fcontent_840x120_qrcodes.jpg)\n\n## 相关阅读\n\n*   [![Image 18](https:\u002F\u002Fdifang.gmw.cn\u002Fgx\u002F2026-10\u002F16\u002Fcontent_39050109.htm)](javascript:;)    \n*   [![Image 19](https:\u002F\u002Fdifang.gmw.cn\u002Fgx\u002F2026-10\u002F16\u002Fcontent_39050109.htm)](javascript:;)    \n*   [](javascript:;)[](javascript:;)[](javascript:;)[](javascript:;)\n\n## 您此时的心情\n\n[![Image 20: 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日","2026-10-16T00:00:00Z","报道",77,{"impact":19,"substance":18,"depth":335,"authority":20,"freshness":13,"relevant":22,"comment":336},16,"粤桂协作推动山地桔园AI全域监测落地，化肥农药减量20%以上、亩均增产15%等数据具体，是智慧农业从示范盆景走向生产实效的可复制样本。",[338],{"name":330,"url":327},[340,27,341,342,343],"数字乡村","农业人工智能","粤桂协作","沙糖桔",{"code":34,"slug":35,"name":36,"path":37,"parent_code":38},[],{"status":41,"locked":14,"version":42,"method":43,"evidence":347},{"candidates":348,"agricultural_evidence":48},[349,354,360,364,368],{"code":34,"score":350,"supported":48,"title":351,"abstract":352,"tags":353},11,[57],[57],[],{"code":355,"score":90,"supported":48,"title":356,"abstract":357,"tags":359},"B2",[],[358],"果树",[],{"code":47,"score":22,"supported":14,"title":361,"abstract":362,"tags":363},[],[],[27],{"code":96,"score":22,"supported":14,"title":365,"abstract":366,"tags":367},[],[],[341],{"code":369,"score":22,"supported":14,"title":370,"abstract":371,"tags":372},"I6",[],[],[340],[374,375],"广西西林 沙糖桔 AI管家","粤桂协作 智慧果园 西林","广西西林沙糖桔AI管家-5108","2026-10-17T00:13:01.843117Z",{"id":379,"title":380,"url":381,"summary":382,"summary_zh":383,"content":9,"source_name":384,"source_url":381,"published_at":385,"category":12,"cover_url":9,"hotness":386,"is_selected":14,"score":387,"score_detail":388,"sources":392,"tags":397,"primary_topic":402,"secondary_topics":403,"classification":404,"search_phrases":434,"slug":437,"view_count":110,"doi":438,"paper":439,"created_at":458},5069,"The impact of digital technology on green economies","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1787960","Introduction Digital agriculture is regarded as an important instrument for achieving green economies, with the potential to raise productivity while reducing environmental impacts. This study explores how digitalization in agriculture affects greenhouse gas emissions, pesticide use and productivity. Methods The research uses a mixed-methods design. Quantitative analysis draws on international environmental and economic indicators for approximately 180 countries between 2000 and 2023 (415 country-year observations), combining Spearman correlations, regression models with GDP interaction terms, and K-means cluster analysis. A qualitative case study of digital agriculture in Latin America complements the statistical findings. Results Digital infrastructure is strongly associated with the adoption of agricultural digital technologies, and smart farming investment is associated with better economic performance of the agricultural sector. Investment in digital agriculture shows a positive association with both emissions and pesticide use, while the interaction with GDP is negative and significant. Cluster analysis confirms that countries with higher GDP and stronger digital infrastructure achieve more balanced environmental outcomes. Discussion The environmental benefits of digital agriculture are conditional on economic capacity. In economically advanced settings, digital technologies reduce resource use, waste and emissions; in economically constrained regions, higher output can offset the environmental gains. Digital agricultural transformation therefore offers opportunities for sustainable development, but its success depends on equitable access to digital technologies and on policy support that mitigates the trade-off between productivity and environmental protection.","引言 数字农业被视为实现绿色经济的重要工具，具有提高生产力同时减少环境影响的潜力。本研究探讨农业数字化如何影响温室气体排放、农药使用和生产力。方法 研究采用混合方法设计。定量分析基于约180个国家2000年至2023年的国际环境和经济指标（415个国家-年份观测值），结合斯皮尔曼相关性分析、包含GDP交互项的回归模型以及K均值聚类分析。拉丁美洲数字农业的定性案例研究补充了统计发现。结果 数字基础设施与农业数字技术的采用密切相关，智慧农业投资与农业部门更好的经济表现相关。数字农业投资与排放量和农药使用量均呈正相关，而与GDP的交互项为负且显著。聚类分析证实，GDP较高且数字基础设施较强的国家实现了更平衡的环境结果。讨论 数字农业的环境效益以经济能力为条件。在经济发达环境中，数字技术减少了资源使用、浪费和排放；在经济受限地区，更高的产出可能抵消环境收益。因此，数字农业转型为可持续发展提供了机遇，但其成功取决于数字技术的公平获取以及能够缓解生产力与环境保护之间权衡的政策支持。","Frontiers in Sustainable Food Systems","2026-10-15T00:00:00Z",25,86,{"impact":17,"substance":389,"depth":390,"authority":179,"freshness":21,"relevant":22,"comment":391},23,19,"基于180国2000—2023年面板数据与拉美案例，揭示数字农业环境效益受经济水平制约，方法扎实、结论有政策参考价值。",[393,394],{"name":384,"url":381},{"name":395,"url":396},"Frontiers in Sustainable Food Systems 2026-10-15","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1787960\u002Ffull",[398,27,399,400,401],"数字农业","农业数字化","农业碳排放","农药减量",{"code":34,"slug":35,"name":36,"path":37,"parent_code":38},[],{"status":41,"locked":14,"version":42,"method":43,"evidence":405},{"candidates":406,"agricultural_evidence":48},[407,412,417,424,429],{"code":47,"score":184,"supported":48,"title":408,"abstract":409,"tags":411},[],[27,398,410],"digital agriculture",[399,398,27],{"code":34,"score":54,"supported":48,"title":413,"abstract":414,"tags":416},[],[57,415],"pesticide",[401],{"code":418,"score":61,"supported":48,"title":419,"abstract":420,"tags":423},"B7",[],[421,422],"温室","greenhouse",[],{"code":425,"score":22,"supported":14,"title":426,"abstract":427,"tags":428},"H4",[],[],[400],{"code":430,"score":22,"supported":14,"title":431,"abstract":432,"tags":433},"I",[],[],[399],[435,436],"数字农业 温室气体排放","拉丁美洲 数字农业 案例","数字农业温室气体排放-5069","10.3389\u002Ffsufs.2026.1787960",{"doi":438,"openalex_id":440,"authors":441,"venue":384,"cited_by_count":110,"oa_url":451,"card":452,"direction":143,"ingested_from":145},"W7221916400",[442,445,448],{"name":443,"orcid":444},"Botond Géza Kálmán","https:\u002F\u002Forcid.org\u002F0000-0001-8031-8016",{"name":446,"orcid":447},"Zsuzsanna Szeiner","https:\u002F\u002Forcid.org\u002F0000-0003-3051-9674",{"name":449,"orcid":450},"Szilvia Valéria Módosné Szalai","https:\u002F\u002Forcid.org\u002F0009-0005-2164-9014","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1787960\u002Fpdf",{"tldr":453,"method":454,"finding":455,"direction":456,"opportunity":457},"研究约180国2000-2023年数据，分析农业数字化对温室气体排放、农药使用与生产率的影响。","混合方法：Spearman相关、含GDP交互项的回归、K-means聚类，辅以拉","数字农业环境效益取决于经济能力，高GDP国家更均衡，低GDP国家增产抵消环境收益。","农业绿色发展与碳","可探究不同经济水平下数字农业减排阈值与政策干预机制，关注数字鸿沟对绿色转型的调节作用。","2026-10-16T23:30:06.211945Z",{"id":460,"title":461,"url":462,"summary":463,"summary_zh":9,"content":464,"source_name":465,"source_url":9,"published_at":466,"category":332,"cover_url":9,"hotness":13,"is_selected":14,"score":467,"score_detail":468,"sources":471,"tags":473,"primary_topic":478,"secondary_topics":479,"classification":480,"search_phrases":500,"slug":503,"view_count":22,"doi":9,"paper":9,"created_at":504},4961,"四川省农科院植保所'三水'绿色融合样板田丰收在望 天敌控虫显成效","https:\u002F\u002Fcbgc.scol.com.cn\u002Fnews\u002F8052886","10月12日,江油市武都镇阳亭坝稻田翻起金色波浪。四川省农业科学院植物保护研究所研究员姬红丽介绍,基地全生育期几乎不施化学杀菌剂,底气来自多抗性品种。田埂上种甜荞、蔷薇、紫云英、二月兰等蜜源植物,为天敌提供花粉、花蜜和庇护所。基地稻田麦田里的天敌种群数量,达到农户常规自防田块的10倍以上。田埂上还种着一人高的香根草——从泰国引进的'陷阱植物',气味吸引二化螟产卵,幼虫大多低龄死亡。","[![Image 5](https:\u002F\u002Fcbgccdn.thecover.cn\u002F@\u002Fimages\u002F20250922\u002F1758523866060089130.png)](https:\u002F\u002Fcbgc.scol.com.cn\u002Fmediachannel_MQ==Q)[![Image 6](https:\u002F\u002Fcbgccdn.thecover.cn\u002F@\u002Fimages\u002F20251016\u002F1760585508939077059.png)](https:\u002F\u002Fcbgc.scol.com.cn\u002Fmediachannel_NzE2z)[![Image 7](https:\u002F\u002Fcbgccdn.thecover.cn\u002F@\u002Fimages\u002F20250917\u002F1758098174766036254.png)](https:\u002F\u002Fcbgc.scol.com.cn\u002Fmediachannel_NzEwz)[![Image 8](https:\u002F\u002Fcbgccdn.thecover.cn\u002F@\u002Fimages\u002F20250917\u002F1758098174830074273.png)](https:\u002F\u002Fcbgc.scol.com.cn\u002Fmediachannel_NzA5z)[![Image 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Escape will cancel and close the window.\n\nText Color Transparency Background Color Transparency Window Color Transparency \n\nFont Size Text Edge Style Font Family\n\nReset restore all settings to the default values Done\n\nClose Modal Dialog\nEnd of dialog window.\n\n含AI生成内容\n\n  \n\n川观新闻记者 张彧希 四川农村日报记者 徐灿红 洪瑜\n\n10月12日，江油市武都镇阳亭坝，秋风掠过，稻田翻起金色波浪。\n\n四川省农业科学院植物保护研究所研究员姬红丽蹲在田埂上，拔起一株水稻查看叶背——干干净净，没有病斑。“亩产干谷不会低于1300斤。”再过一两天，这里就要开镰。\n\n这片稻田不普通。自2013年起，省农科院植保所在此实施“农田有害生物综合治理课题”，持续10余年。曾经抛荒的土地，如今稻穗丰盈、游鱼戏水、白鹭翩跹，成为国内率先实现水稻、水产、水禽“三水”绿色融合的样板田。\n\n曾经令人头痛的有害生物，是如何被“赶出”这片田的？\n\n![Image 27](https:\u002F\u002Fcbgccdn.thecover.cn\u002FuwwTanqEkCCMjwacLwG1791887100031.jpg-cgwapimg.jpg)\n\n俯瞰基地。\n\n**第一招：良种打底，病害止步田外**\n\n“三水”融合，第一关是选品种。“不光看产量和米质，更看重抗病性。”姬红丽说。西南稻区主要病害有稻瘟病、纹枯病、稻曲病，农户常规靠打药防病，但基地全生育期几乎不施化学杀菌剂，底气来自多抗性品种。\n\n连续十多年，团队每年从市场主流品种中筛选多抗性优异品种，在江油基地展示。“江油气候利于多种病害发生，对品种抗性要求更高，也更容易筛出好品种。”姬红丽说。\n\n今年基地集中示范川康优2115、品香优607等优质水稻，在稻瘟、稻曲等病害抗性上表现优异。品种自身抗性强，病害起不来，化学农药自然省了。\n\n品种抗性究竟如何？种子企业也很关心。四川金色绿丹种业有限公司川北区域经理陈胜龙沿试验田看了几遍：“没找到稻瘟病、稻曲病症状，叶片干净，秆壮穗大，产量很乐观。”\n\n**第二招：田埂布阵，天敌与“陷阱”控虫**\n\n![Image 28](https:\u002F\u002Fcbgccdn.thecover.cn\u002FwfEvzrWwWnnzrMaWkUD1791887100070.jpg-cgwapimg.jpg)\n\n田埂上种的甜荞。\n\n病害靠品种扛，虫害靠天敌控。不足半米宽的田埂，像一座迷你花园：甜荞开白花，蔷薇正艳，菜粉蝶、蜜蜂穿梭其间。\n\n![Image 29](https:\u002F\u002Fcbgccdn.thecover.cn\u002FSktKeYctmZopaRpZjXJ1791887099994.jpg-cgwapimg.jpg)\n\n田埂上种的蔷薇。\n\n“这些都是蜜源植物，是精心选的‘生态卫士’。”姬红丽说。稻麦轮作茬口期，田里没有庄稼，自然天敌没处安身，蜜源植物便补上空当，提供花粉、花蜜和庇护所。\n\n目前田埂还种了紫云英、二月兰，基地稻田麦田里的天敌种群数量，达到农户常规自防田块的10倍以上，全是自然天敌，没有人工投放。\n\n记者发现，田埂上还种着一人高的香根草。姬红丽介绍，这是从泰国引进的“陷阱植物”：气味吸引二化螟产卵，但含有毒活性物质，不适合幼虫发育，孵化幼虫大多低龄死亡，无法发育为成虫。一代代下来，基地二化螟数量越来越低。\n\n效果有数据支撑：水稻螟虫、麦蚜虫连续八年没达到化学防治用药阈值；蜘蛛、青蛙、田螺、泥鳅、黄鳝、蛇、野鸭、翠鸟等指示生物相继回归，并向周边农田扩散。“插秧时，当地村民都来抓黄鳝，知道我们不用药，黄鳝比别处多。”姬红丽笑着说。\n\n**第三招：生态当家，少打药照样高产**\n\n开农资店的罗勇，生意不如以前，但他却为啥挺开心？\n\n罗勇原是当地农资店主，卖农药化肥。“那会儿种植户见虫就打药，我生意也好。”但姬红丽团队来了之后，带来一个新理念：生态当家，少打药照样高产。\n\n“一开始我不信。”姬红丽团队带着罗勇一次次下田示范，请他到基地看效果。“后来发现人家不打药，虫子比我的还少，稻子还壮。”\n\n罗勇动了心，一边开农资店，一边承包土地。如今种植已发展到400多亩。“跟着团队学病虫害防治，品种从他们筛出的抗病品种里选，少打药减少人工，一亩地省100多块钱，产量基本不受影响。”他估计，今年亩产干谷能到1300至1400斤，在武都镇算高的。\n\n自己尝到甜头，罗勇又向周边大户推广：“少打药不是不管，是要靠品种抗病、靠天敌控虫。”如今，武都镇大户基本减少了打药次数，但产量没降。\n\n**【未经授权，严禁转载！联系电话028-86968276】**\n\n![Image 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川观新闻二维码](https:\u002F\u002Fwapcdn.thecover.cn\u002Fcdn\u002Fcbgc\u002Fstatic\u002Fimg\u002Fcopyright-qrcode.jpg)\n\n![Image 36](https:\u002F\u002Fwapcdn.chuanbaoguancha.cn\u002Fcdn\u002Fcbgc\u002Fstatic\u002Fimg\u002Fcopyright_bottom.png)\n\n### 精彩评论 7\n\n*   [![Image 37: 川观网友f469Aa](https:\u002F\u002Fcbgccdn.thecover.cn\u002F83f080a0-39ed-4297-b9dc-511e10f0b521)![Image 38](https:\u002F\u002Fcbgccdn.thecover.cn\u002F@\u002Fimages\u002F20230817\u002F1692258999803063552.png)](javascript:;) 川观网友f469Aa 2026-10-13![Image 39](https:\u002F\u002Fwapcdn.chuanbaoguancha.cn\u002Fcdn\u002Fcbgc\u002Fstatic\u002Fimg\u002Fpc_detail_zan.png)20  ![Image 40](https:\u002F\u002Fwapcdn.thecover.cn\u002Fcdn\u002Fcbgc\u002Fstatic\u002Fimg\u002Fcomment_jing.png) \n不用猛药治虫害，重建田间小生态，既守粮食丰产，也留住了蛙鸣鹭飞的田园诗意。 \n*   [![Image 41: 久泰安康](https:\u002F\u002Fcbgccdn.thecover.cn\u002Ff9d17bb8-ec4f-4222-9b94-edabc17c8cfa)![Image 42](https:\u002F\u002Fcbgccdn.thecover.cn\u002F@\u002Fimages\u002F20230817\u002F1692258999878073584.png)](javascript:;) 久泰安康 2026-10-13![Image 43](https:\u002F\u002Fwapcdn.chuanbaoguancha.cn\u002Fcdn\u002Fcbgc\u002Fstatic\u002Fimg\u002Fpc_detail_zan.png)17  ![Image 44](https:\u002F\u002Fwapcdn.thecover.cn\u002Fcdn\u002Fcbgc\u002Fstatic\u002Fimg\u002Fcomment_jing.png) \n大力支持研究、培养生物防治技术，尽量避免使用化学药物，既能保障人类食材安全，还可维护生态长远安全！ \n*   [![Image 45: 王剑冰](https:\u002F\u002Fcbgccdn.thecover.cn\u002F407ac4e6-e553-4184-befa-03acc97676ce)![Image 46](https:\u002F\u002Fcbgccdn.thecover.cn\u002F@\u002Fimages\u002F20230817\u002F1692258999878073584.png)](javascript:;) 王剑冰 2026-10-13![Image 47](https:\u002F\u002Fwapcdn.chuanbaoguancha.cn\u002Fcdn\u002Fcbgc\u002Fstatic\u002Fimg\u002Fpc_detail_zan.png)0  ![Image 48](https:\u002F\u002Fwapcdn.thecover.cn\u002Fcdn\u002Fcbgc\u002Fstatic\u002Fimg\u002Fcomment_jing.png) \n生物防治是保护农业环境的大方向！👍 \n*   [![Image 49: ⅩW](https:\u002F\u002Fcbgccdn.thecover.cn\u002F169473612216857a63206-7315-4066-add9-cc4c60366658)![Image 50](https:\u002F\u002Fcbgccdn.thecover.cn\u002F@\u002Fimages\u002F20230817\u002F1692258999854058654.png)](javascript:;) ⅩW 2026-10-13![Image 51](https:\u002F\u002Fwapcdn.chuanbaoguancha.cn\u002Fcdn\u002Fcbgc\u002Fstatic\u002Fimg\u002Fpc_detail_zan.png)10   \n科学种植。 \n*   [![Image 52: 孤傲的狼.](https:\u002F\u002Fcbgccdn.thecover.cn\u002Fa4fa4344-981a-4595-bbf6-eadd9cb8827d)![Image 53](https:\u002F\u002Fcbgccdn.thecover.cn\u002F@\u002Fimages\u002F20230817\u002F1692258999854058654.png)](javascript:;) 孤傲的狼. 2026-10-13![Image 54](https:\u002F\u002Fwapcdn.chuanbaoguancha.cn\u002Fcdn\u002Fcbgc\u002Fstatic\u002Fimg\u002Fpc_detail_zan.png)6   \n建康食品。 \n*   [![Image 55: cc夏](https:\u002F\u002Fthirdwx.qlogo.cn\u002Fmmopen\u002Fvi_32\u002FQ0j4TwGTfTLwWzkb2G2iaic1zUcKq9yJMgeq9PBXaS8ntvKEiaZUxZniaQHBUicFozibFhzP9UgSZsTrnP4icl6Q3Mkzg\u002F132)![Image 56](https:\u002F\u002Fcbgccdn.thecover.cn\u002F@\u002Fimages\u002F20230817\u002F1692258999878073584.png)](javascript:;) cc夏 2026-10-14![Image 57](https:\u002F\u002Fwapcdn.chuanbaoguancha.cn\u002Fcdn\u002Fcbgc\u002Fstatic\u002Fimg\u002Fpc_detail_zan.png)0   \n农业种植的优势在哪里？就在这里！少打药种花草！种出来的稻谷都喜欢！ \n\n查看更多评论\n\n我要评论\n\n![Image 58](https:\u002F\u002Fwapcdn.thecover.cn\u002Fcdn\u002Fcbgc\u002Fstatic\u002Fimg\u002FcbgcAPP.png)\n去APP中热议吧\n\n![Image 59](https:\u002F\u002Fwapcdn.thecover.cn\u002Fcdn\u002Fcbgc\u002Fstatic\u002Fimg\u002FcbgcAPP.png)\n去APP查看\n\n![Image 60](https:\u002F\u002Fcbgccdn.thecover.cn\u002Fqrcode\u002Fnews\u002Frm8NXTGnq8Y2x0lY=8052886.jpg)\n去APP查看全文\n\n相关新闻\n\n热新闻\n\n[天](javascript:void(0);)[周](javascript:void(0);)[月](javascript:void(0);)\n\n[![Image 61](https:\u002F\u002Fcbgccdn.thecover.cn\u002Fnewscontent-0ae08b42-806b-466b-8325-3d0db3077adb-1747298732623.jpeg)1 于巴山大峡谷偶遇一程缤纷，赴都江堰邂逅一座纯净幺妹峰丨川观号加新时刻10.14](https:\u002F\u002Fcbgc.scol.com.cn\u002Fnews\u002F6094993)[![Image 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| [广告业务](http:\u002F\u002Fwww.scdaily.cn\u002Fadvert.htm) | [联系我们](http:\u002F\u002Fwww.scdaily.cn\u002Fcontactus.htm)[![Image 96](https:\u002F\u002Fwapcdn.thecover.cn\u002Fcdn\u002Fcbgc\u002Fstatic\u002Fimg\u002Fa_biaoshi.gif)](http:\u002F\u002Fwww.hd315.gov.cn\u002Fbeian\u002Fview.asp?bianhao=031202001042600006)\n四川日报社版权所有 未经书面授权 不得复制或建立镜像  \n Copyright ©2011-2019 SICHUAN DAILY All rights reserved.  \n 四川日报报业集团 四川日报网[蜀ICP备12028253号-2](http:\u002F\u002Fwww.miibeian.gov.cn\u002F)\n互联网新闻信息服务许可证：51120170001\n","川观新闻 四川农村日报 2026 年 10 月 12 日","2026-10-12T00:00:00Z",58,{"impact":335,"substance":179,"depth":184,"authority":469,"freshness":54,"relevant":22,"comment":470},9,"省级科研机构绿色植保样板田进展，有技术示范价值但属阶段性报道，未达每日精选门槛。",[472],{"name":465,"url":462},[474,475,476,31,477],"绿色防控","四川省农科院","水稻种植","天敌控虫",{"code":34,"slug":35,"name":36,"path":37,"parent_code":38},[],{"status":41,"locked":14,"version":42,"method":43,"evidence":481},{"candidates":482,"agricultural_evidence":48},[483,488,495],{"code":34,"score":13,"supported":48,"title":484,"abstract":486,"tags":487},[485],"植保",[],[31,474],{"code":489,"score":490,"supported":48,"title":491,"abstract":492,"tags":494},"A1",4,[],[493],"稻田",[476],{"code":496,"score":22,"supported":14,"title":497,"abstract":498,"tags":499},"H8",[],[],[474],[501,502],"四川省农科院植保所 天敌控虫","三水绿色融合 样板田","四川省农科院植保所天敌控虫-4961","2026-10-15T00:06:03.613426Z",{"id":506,"title":507,"url":508,"summary":509,"summary_zh":510,"content":9,"source_name":511,"source_url":508,"published_at":466,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":512,"score_detail":513,"sources":515,"tags":517,"primary_topic":521,"secondary_topics":522,"classification":523,"search_phrases":546,"slug":549,"view_count":22,"doi":550,"paper":551,"created_at":581},4917,"Revealing parasitoid-pest interactions using multi-marker metabarcoding: a nationwide assessment of parasitism in cabbage stem flea beetle larvae","https:\u002F\u002Fdoi.org\u002F10.64898\u002F2026.10.09.757974","Management of insect pests of oilseed rape (Brassica napus L.) such as cabbage stem flea beetle (CSFB; Psylliodes chrysocephala L.) is increasingly challenging given a lack of effective permitted insecticides. Conservation biocontrol, including through naturally-occurring parasitoids of CSFB, is one of the first lines of defense and the baseline for integrated pest management (IPM) strategies, but we lack a comprehensive understanding of the parasitoids involved and how parasitism rates vary regionally. Such data have traditionally required rearing of parasitoids from their pest hosts, which is highly error-prone, laborious and overlooks instances of multiple parasitism and hyperparasitism. Using multi-marker DNA metabarcoding, including a novel host-exclusion parasitoid PCR primer pair, we assessed parasitism of 1,040 CSFB larvae from 13 counties in England, UK. We confidently identified seven parasitoids of CSFB larvae, with ten taxa present in unfiltered data. Parasitism rates differed between regions, with the north of England having significantly lower parasitism rates than southern regions. Our novel beetle parasitoid PCR primers demonstrate a high congruence with visual detections of parasitoids and a high rate of novel interaction detections. Ultimately, by determining both rates of parasitism and natural enemy identities, these data significantly extend our understanding of in-field CSFB parasitoid community dynamics. This information could guide the enhancement of farm management, especially using network science in decision support systems related to insecticide application, but also more broadly in the context of crop and habitat management for improved conservation biocontrol and IPM.","油菜（Brassica napus L.）害虫，如白菜茎跳甲（CSFB；Psylliodes chrysocephala L.）的治理正日益困难，原因在于缺乏有效的已登记杀虫剂。保护性生物防治，包括利用CSFB的天然寄生蜂，是首道防线，也是害虫综合治理（IPM）策略的基线，但我们对所涉及的寄生蜂种类以及寄生率在不同区域间如何变化缺乏全面了解。此类数据传统上需要从害虫宿主中饲养寄生蜂来获得，这种方法极易出错、费时费力，且忽略了多重寄生和重寄生的情形。利用多标记DNA宏条形码技术，包括一对新型宿主排除性寄生蜂PCR引物，我们评估了来自英国英格兰13个县的1,040头CSFB幼虫的寄生情况。我们确信鉴定出七种CSFB幼虫寄生蜂，未过滤数据中还存在十个分类单元。寄生率在不同区域间存在差异，英格兰北部的寄生率显著低于南部地区。我们的新型甲虫寄生蜂PCR引物与寄生蜂的视觉检测结果高度一致，并具有较高的新互作检出率。最终，通过确定寄生率和天敌身份，这些数据显著拓展了我们对田间CSFB寄生蜂群落动态的理解。这些信息可指导农场管理的改进，尤其是在与杀虫剂施用相关的决策支持系统中应用网络科学，同时也在更广泛的作物和栖息地管理背景下，为改善保护性生物防治和IPM提供依据。","bioRxiv (Cold Spring Harbor Laboratory)",80,{"impact":19,"substance":17,"depth":19,"authority":20,"freshness":469,"relevant":22,"comment":514},"该研究利用多标记DNA宏条形码技术大规模评估油菜茎跳甲寄生蜂群落，方法新颖、数据扎实，对推进保护性生物防治和IPM决策支持具有实质参考价值，值得进入每日精选。",[516],{"name":511,"url":508},[474,31,518,519,520],"油料作物","害虫综合治理","分子检测",{"code":34,"slug":35,"name":36,"path":37,"parent_code":38},[],{"status":41,"locked":14,"version":42,"method":43,"evidence":524},{"candidates":525,"agricultural_evidence":48},[526,531,537,542],{"code":34,"score":527,"supported":48,"title":528,"abstract":529,"tags":530},5,[],[31],[31,474],{"code":532,"score":90,"supported":48,"title":533,"abstract":534,"tags":536},"A4",[],[535],"油菜",[],{"code":96,"score":90,"supported":48,"title":538,"abstract":539,"tags":541},[],[540],"decision support",[],{"code":496,"score":22,"supported":14,"title":543,"abstract":544,"tags":545},[],[],[474],[547,548],"油菜 跳甲 寄生蜂","DNA宏条形码 害虫防治","油菜跳甲寄生蜂-4917","10.64898\u002F2026.10.09.757974",{"doi":550,"openalex_id":552,"authors":553,"venue":511,"cited_by_count":110,"oa_url":575,"card":576,"direction":267,"ingested_from":145},"W7221504656",[554,557,560,563,566,569,572],{"name":555,"orcid":556},"Patricia A. Ortega‐Ramos","https:\u002F\u002Forcid.org\u002F0000-0003-3339-2410",{"name":558,"orcid":559},"Jordan P. Cuff","https:\u002F\u002Forcid.org\u002F0000-0002-0198-4940",{"name":561,"orcid":562},"Darren Mark Evans","https:\u002F\u002Forcid.org\u002F0000-0003-4061-6726",{"name":564,"orcid":565},"Larissa Collins","https:\u002F\u002Forcid.org\u002F0000-0001-5449-0015",{"name":567,"orcid":568},"Alice L. Mauchline","https:\u002F\u002Forcid.org\u002F0000-0003-1168-8552",{"name":570,"orcid":571},"Robbie D. Girling","https:\u002F\u002Forcid.org\u002F0000-0001-8816-8075",{"name":573,"orcid":574},"S. M. Cook","https:\u002F\u002Forcid.org\u002F0000-0001-5577-2540","https:\u002F\u002Fwww.biorxiv.org\u002Fcontent\u002Fbiorxiv\u002Fearly\u002F2026\u002F10\u002F12\u002F2026.10.09.757974.full.pdf",{"tldr":577,"method":578,"finding":579,"direction":267,"opportunity":580},"用多标记DNA宏条形码评估英国油菜害虫跳甲幼虫的寄生蜂群落与寄生率。","多标记宏条形码及新型寄生蜂PCR引物，检测1040头幼虫。","鉴定出七种寄生蜂，北部寄生率显著低于南部，新引物检测高效。","可结合网络科学与决策支持系统，将寄生蜂群落数据用于精准施药与保护性生物防治。","2026-10-14T23:30:58.248871Z"]