[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-1054":3,"related-1054":61},{"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":24,"tags":26,"primary_topic":31,"secondary_topics":37,"classification":38,"search_phrases":55,"slug":58,"view_count":59,"doi":8,"paper":8,"created_at":60},1054,"广东省农科院作物所甘薯团队在甘薯茎腐病致病机制取得重要进展 首次构建Dickeya dadantii物种泛基因组图谱","https:\u002F\u002Fwww.gdaas.cn\u002Fcrigdaas\u002Fkxyj\u002Fkydt\u002Fcontent\u002Fpost_1336413.html","广东省农业科学院作物研究所甘薯团队基于PacBio HiFi测序技术,完成了甘薯细菌性茎腐病和根腐病(BSRR)代表性菌株E36的高质量完整环状基因组组装(4.78 Mb),并整合中国8个省份共33株分离菌株与23株全球公开菌株,首次构建了Dickeya dadantii物种层面的泛基因组图谱,系统解析了该病原菌的种群结构与遗传分化特征,揪出藏在病菌里的两个关键\"毒力开关\",为抗病甘薯品种培育奠定基础。研究发表于《Agricultural and Food Chemistry》(中科院一区,IF=6.7)。",null,"甘薯一烂就是一大片，茎基发黑、散发恶臭，产量全完蛋！这种‘毁灭性’土传病害到底怎么防治？广东省农科院团队带着‘泛基因组’黑科技来了！他们揪出了藏在病菌里的两个关键‘毒力开关’，一旦关闭，病菌丧失部分攻击力。抗病甘薯品种，或许不再遥远。\n\n由 Dickeya dadantii引起的甘薯细菌性茎腐病和根腐病（BSRR）是当前严重威胁全球甘薯产业健康发展的毁灭性土传病害，其典型症状表现为茎基部软化变黑、维管束组织褐变以及储藏根腐烂并伴有恶臭，在甘薯整个生育周期内均可造成巨大的产量损失与品质下降。该病原菌宿主范围广泛，能够侵染包括玉米、菠萝、水稻、烟草及番茄在内的多种经济作物和观赏植物，且自2010年在中国首次报道以来，已迅速扩散至广东、海南、江西、河南、福建、重庆、广西、江苏等多个省份，成为我国南方甘薯主产区最具破坏性的病害之一。尽管该病害的危害日趋严重，但目前对于中国流行菌株的群体结构、遗传分化模式以及其核心毒力决定因子的系统性认知仍然十分匮乏，这极大地制约了针对性的抗病育种策略和高效病害防控手段的研发。\n\n为进一步解析中国不同地理来源 D. dadantii菌株的遗传多样性及其关键致病分子基础，广东省农业科学院作物研究所甘薯团队开展了深入研究，并取得新进展。\n\n广东省农业科学院作物研究所甘薯团队于Agricultural and Food Chemistry（中科院一区，IF: 6.7)在线发表题为“Pangenome Analysis Uncovers Two Pathotypes of Dickeya dadantii, the Causal Agent of Sweetpotato Stem Rot, and Identifies Virulence Associated Genes”的研究论文。\n\n本研究基于 PacBio HiFi 测序技术，完成了甘薯细菌性茎腐病和根腐病（BSRR）代表性菌株 E36 的高质量完整环状基因组组装（4.78 Mb），并整合中国 8 个省份共 33 株分离菌株与 23 株全球公开菌株，首次构建了 Dickeya dadantii物种层面的泛基因组图谱，系统解析了该病原菌的种群结构与遗传分化特征。泛基因组分析表明，核心基因约占 41.83%，附属基因占比达 58.17%，且随着菌株数量增加，核心基因比例呈逐渐下降趋势，附属基因数量明显扩张，充分揭示该病原菌基因组具有典型的“开放”特征，高度动态且受到显著的环境选择压力。\n\n系统发育分析与平均核苷酸一致性（ANI）结果显示，全球范围内的菌株呈现明显的地域聚集性，而国内甘薯源菌株根据地理来源可划分为两大主要进化类群（Group I 和 Group II），表明地理隔离与宿主适应共同驱动了该病原菌的遗传分化。\n\n在此基础上，研究基于 56 株菌株共有的核心基因组，通过信号肽预测、跨膜结构域筛选及亚细胞定位分析，鉴定出 36 个保守效应蛋白，并选取 8 个代表性基因开展侵染时间序列表达分析（qRT-PCR）、蛋白纯化及目标效应蛋白突变体表型验证。\n\n结果表明，CpxP 和 Spy 基因在侵染后显著上调表达，且在后期维持较高转录水平。进一步通过原核表达纯化这两个蛋白并注射至本氏烟草叶片，在 6 天内可诱导典型的过敏性反应（HR），证实其具备激发宿主植物免疫反应的生物活性。为验证其在病害中的实际毒力功能，研究构建了 ΔCpxP 和 ΔSpy 基因敲除突变体，并在甘薯块根和叶片上进行致病力测试，结果显示两个突变体的致病力均较野生型 E36 显著下降，病斑面积明显缩小。此外，CpxP 和 Spy 蛋白均含有 LTXXQ 保守结构域，提示该结构域可能与其毒力功能密切相关。综上所述，本研究不仅首次阐明了中国 D. dadantii群体的种群分化格局，还通过“预测-表达-验证”的完整链条实证了 CpxP 和 Spy 是病原菌侵染甘薯的保守毒力因子，为深入解析其分子致病机制及开发区域性病害防控策略提供了重要的理论依据和基因靶点。\n\n该论文第一作者为联合培养硕士生范梦佳，通讯作者为广东省农业科学院作物研究所黄立飞研究员。此外，广东省农科院基因中心吴绍文副研究员、华南农业大学周佳暖教授及华中农业大学谢甲涛教授都参与了本项目。本研究得到了国家甘薯产业技术体系（CARS-10）、国家重点研发计划（2024YFD1401203-5）和广东省现代农业产业技术体系创新团队建设专项资金（2024CXTD07）项目支持。","广东省农业科学院","2026-08-26T00:00:00Z","报道",10,false,85,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},22,24,19,13,7,1,"甘薯茎腐病致病机制研究取得重要进展，首次构建泛基因组图谱，对农业病害防控有实质贡献。",[25],{"name":10,"url":6},[27,28,29,30],"泛基因组","广东省农科院","甘薯","茎腐病",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},"A5","tubers-grains","薯类与杂粮","\u002Ftopic\u002Ffield-crops\u002Ftubers-grains","A",[],{"status":39,"locked":14,"version":40,"method":41,"evidence":42},"classified","2026-10-22.2","rules",{"candidates":43,"agricultural_evidence":46},[44,50],{"code":32,"score":45,"supported":46,"title":47,"abstract":48,"tags":49},12,true,[29],[29],[29],{"code":51,"score":22,"supported":14,"title":52,"abstract":53,"tags":54},"F2",[],[],[27],[56,57],"广东省农科院 泛基因组 茎腐病 甘薯","广东省农科院 泛基因组","广东省农科院泛基因组茎腐病甘薯-1054",2,"2026-08-29T00:04:34.724646Z",{"total":62,"page":22,"page_size":62,"items":63},6,[64,130,217,253,297,366],{"id":65,"title":66,"url":67,"summary":68,"summary_zh":8,"content":69,"source_name":70,"source_url":8,"published_at":71,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":72,"score_detail":73,"sources":78,"tags":80,"primary_topic":85,"secondary_topics":86,"classification":87,"search_phrases":124,"slug":127,"view_count":128,"doi":8,"paper":8,"created_at":129},5427,"江苏省农科院粮作所分别在泗洪灌云举办甘薯新品种及栽培技术观摩会","https:\u002F\u002Fnewcrops.jaas.ac.cn\u002Fxww\u002Fgzdt\u002Fart\u002F2026\u002Fart_e855a01f4fa84b57bb27bde9f4f5377c.html","江苏省农业科学院粮食作物研究所联合泗洪县、灌云县农技推广中心，10 月 14 日至 15 日分别在宿迁、连云港甘薯示范基地举办两场观摩会。10 月 14 日在泗洪双沟镇展示粮作所选育的宁 F4-4 等 10 个优良淀粉型甘薯新品系及徐薯 53，10 月 15 日在灌云杨集镇展示南京红蜜、徐薯 56、心香等 26 个鲜食甘薯品种及全程机械化、水肥一体化、绿色防控技术成效。专家在田间开展现场测产，并走访淀粉粉丝生产线、高温愈合糖化库与电商分拣车间，70 余人参加。","为进一步加快优良甘薯新品种及高效栽培技术推广应用，推动甘薯产业技术升级，2026年10月14日-15日，省农科院粮作所联合泗洪县、灌云县农业技术推广中心，分别在宿迁、连云港甘薯示范基地举办甘薯新品种及栽培技术观摩会。省种子管理站、省农技推广总站相关人员，农业农村部南京农业机械化研究所、江苏师范大学、徐州农科所、南京农科所及我院农经所、资环所等单位甘薯专家，以及市县农业技术推广人员、甘薯种植企业负责人、周边种植大户等70余人参加活动。\n\n10月14日，淀粉型甘薯新品种展示观摩会在泗洪县双沟镇甘薯示范基地召开。现场集中展示粮作所选育的宁F4-4、徐州农科所选育的徐T9-18等10个优良淀粉型甘薯新品系，以及淀粉型品种徐薯53的田间示范表现。与会专家在示范田开展现场测产，实地考评各品系结薯习性、商品率及鲜薯产量。观摩结束后，参会人员赴江苏美阳薯业发展有限公司，实地察看淀粉加工车间、粉丝生产线，了解鲜薯进厂至粉丝成品出厂的全链条加工工艺。\n\n10月15日，鲜食型甘薯新品种及栽培技术观摩会在灌云县杨集镇甘薯示范基地举办。现场展示南京红蜜、徐薯56、心香等26个鲜食甘薯品种，以及全程机械化、水肥一体化、绿色防控等技术应用成效。专家在高效栽培示范区开展现场测产，综合评估良种良法配套的增产增效作用。会后，参会人员实地参观连云港农之峰生态农业发展有限公司高温愈合糖化库、电商分拣打包车间，并对参展鲜食甘薯开展蒸煮品鉴，直观比较不同品种薯肉色泽、甜度、面糯度与风味特点。\n\n两场观摩会上，种植大户、企业负责人围绕甘薯水肥管理、机械化移栽收获、淀粉加工、糖化处理、安全窖藏等关键环节，与育种、栽培、农机、植保、加工领域专家开展一对一咨询交流，现场研讨针对性强、交流氛围热烈。\n\n本次观摩会采用“田间看品种、现场测产量、车间看加工、品鉴比品质、座谈解难题”一体化模式，加快优良甘薯新品种与高效栽培技术落地推广，提升当地农户种植技术水平，为我省甘薯产业提质增效、种植户增产增收提供品种和技术支撑。","江苏省农业科学院 2026-10-20","2026-10-20T00:00:00Z",64,{"impact":74,"substance":75,"depth":45,"authority":45,"freshness":76,"relevant":22,"comment":77},16,15,9,"省级科研机构联合地方举办的甘薯新品种与栽培技术观摩活动，内容具体、信源权威，但属区域性技术推广动态，公共影响有限。",[79],{"name":70,"url":67},[81,82,83,29,84],"种业振兴","新品种","农技推广","栽培技术",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":88},{"candidates":89,"agricultural_evidence":46},[90,94,100,107,113,119],{"code":32,"score":45,"supported":46,"title":91,"abstract":92,"tags":93},[29],[29],[29],{"code":95,"score":96,"supported":46,"title":97,"abstract":98,"tags":99},"G1",4,[],[83],[83],{"code":101,"score":102,"supported":46,"title":103,"abstract":104,"tags":106},"F3",3,[],[105],"水肥一体化",[],{"code":108,"score":102,"supported":46,"title":109,"abstract":110,"tags":112},"F4",[],[111],"绿色防控",[],{"code":114,"score":102,"supported":46,"title":115,"abstract":116,"tags":118},"F5",[],[117],"机械化",[],{"code":120,"score":59,"supported":14,"title":121,"abstract":122,"tags":123},"F1",[],[],[82,81],[125,126],"江苏省农科院 甘薯 新品种","泗洪 灌云 甘薯 观摩会","江苏省农科院甘薯新品种-5427",0,"2026-10-21T00:10:00.567861Z",{"id":131,"title":132,"url":133,"summary":134,"summary_zh":135,"content":8,"source_name":136,"source_url":133,"published_at":137,"category":138,"cover_url":8,"hotness":13,"is_selected":14,"score":139,"score_detail":140,"sources":144,"tags":146,"primary_topic":151,"secondary_topics":152,"classification":159,"search_phrases":191,"slug":194,"view_count":96,"doi":195,"paper":196,"created_at":216},3330,"Beyond awareness: accounting for information exposure bias in adoption and income effects of Orange-Fleshed Sweet Potato technology among smallholder farming households in Nigeria","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1907286","This study examined the role of information exposure in the adoption of Orange-Fleshed Sweet Potato (OFSP) technology and its effect on the income of smallholder sweet potato farming households in Nigeria. Using cross-sectional primary data collected from 320 smallholder sweet potato farming households in Osun and Kwara States through a two-stage sampling procedure, the study accounted for heterogeneous awareness exposure and actual adoption behavior. The Heckman probit selection model was employed to distinguish between awareness exposure and adoption conditional on awareness, while the Endogenous Treatment Effect (ETE) and Inverse-Probability-Weighted Regression Adjustment (IPWRA) models were used to estimate the income effects of OFSP adoption while correcting for potential endogeneity and selection bias. The findings showed that awareness exposure was significantly influenced by age, marital status, household size, and membership in farmer associations, whereas adoption conditional on awareness was significantly associated with education, farming experience, and access to credit. Descriptively, OFSP adopters reported more favorable perceptions of the technology’s productivity, climate resilience, and nutritional benefits than non-adopters. Both ETE and IPWRA estimates further indicated that OFSP adoption had a positive and significant effect on household income. The study concludes that awareness and adoption are distinct stages influenced by different factors. Policies aimed at promoting OFSP adoption should therefore strengthen targeted information dissemination, extension support, farmer education, and access to credit to enhance adoption, household income, food security, nutrition, and rural livelihoods.","本研究考察了信息接触在橙肉甘薯（Orange-Fleshed Sweet Potato, OFSP）技术采纳中的作用及其对尼日利亚小农户甘薯种植家庭收入的影响。研究采用两阶段抽样程序，从奥孙州和夸拉州320户小农户甘薯种植家庭收集了横截面原始数据，并考虑了异质性认知接触与实际采纳行为。研究运用Heckman probit选择模型区分认知接触与在认知条件下的采纳行为，同时采用内生处理效应（Endogenous Treatment Effect, ETE）模型和逆概率加权回归调整（Inverse-Probability-Weighted Regression Adjustment, IPWRA）模型估计OFSP采纳的收入效应，并校正潜在的内生性和选择偏差。研究结果表明，认知接触显著受年龄、婚姻状况、家庭规模和农民协会成员身份的影响，而在认知条件下的采纳行为则与教育程度、种植经验和信贷可得性显著相关。描述性统计显示，OFSP采纳者对技术生产力、气候适应性和营养益处的感知优于非采纳者。ETE和IPWRA估计结果均表明，OFSP采纳对家庭收入具有显著的正向影响。研究结论认为，认知和采纳是受不同因素影响的 distinct 阶段。因此，旨在促进OFSP采纳的政策应加强针对性信息传播、推广支持、农民教育和信贷可得性，以提高采纳率、家庭收入、粮食安全、营养水平和农村生计。","Frontiers in Sustainable Food Systems","2026-09-24T00:00:00Z","论文",73,{"impact":45,"substance":141,"depth":142,"authority":20,"freshness":13,"relevant":22,"comment":143},21,17,"以信息接触偏差为切入，方法规范、数据扎实，对农业技术推广信息化有参考价值，但属区域国别研究，公共影响有限。",[145],{"name":136,"url":133},[147,148,29,149,150],"农业信息化","小农户","尼日利亚","信息传播",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[153],{"code":154,"slug":155,"name":156,"path":157,"parent_code":158},"G2","farm-services","社会化服务与规模经营","\u002Ftopic\u002Frural-services\u002Ffarm-services","G",{"status":39,"locked":14,"version":40,"method":41,"evidence":160},{"candidates":161,"agricultural_evidence":46},[162,167,172,179,186],{"code":32,"score":75,"supported":46,"title":163,"abstract":165,"tags":166},[164],"potato",[29,164],[29],{"code":154,"score":75,"supported":46,"title":168,"abstract":170,"tags":171},[169],"smallholder",[148,169],[148],{"code":173,"score":62,"supported":46,"title":174,"abstract":175,"tags":178},"A8",[],[176,177],"粮食安全","food security",[],{"code":180,"score":62,"supported":46,"title":181,"abstract":182,"tags":185},"H7",[],[183,184],"气候适应","climate resilience",[],{"code":187,"score":22,"supported":14,"title":188,"abstract":189,"tags":190},"I1",[],[],[147],[192,193],"尼日利亚 橙肉甘薯 小农户","信息接触 技术采纳 收入效应","尼日利亚橙肉甘薯小农户-3330","10.3389\u002Ffsufs.2026.1907286",{"doi":195,"openalex_id":197,"authors":198,"venue":136,"cited_by_count":128,"oa_url":133,"card":209,"direction":213,"ingested_from":215},"W7214099591",[199,202,204,206],{"name":200,"orcid":201},"Adetomiwa Kolapo","https:\u002F\u002Forcid.org\u002F0000-0002-0808-1293",{"name":203,"orcid":8},"Melusi Sibanda",{"name":205,"orcid":8},"Nolwazi Z. Khumalo",{"name":207,"orcid":208},"Temitope O. Ojo","https:\u002F\u002Forcid.org\u002F0000-0002-3517-0435",{"tldr":210,"method":211,"finding":212,"direction":213,"opportunity":214},"研究尼日利亚小农户信息接触偏差对橙肉甘薯技术采纳及收入的影响。","320户两阶段抽样调查，用Heckman probit、ETE和IPWRA模型。","信息接触与采纳受不同因素影响，采纳显著提高农户家庭收入。","数字乡村与农业信息化","可延伸研究信息传播渠道差异如何影响技术采纳阶段转化与收入分配。","openalex","2026-09-24T23:30:06.870179Z",{"id":218,"title":219,"url":220,"summary":221,"summary_zh":8,"content":222,"source_name":223,"source_url":8,"published_at":224,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":225,"score_detail":226,"sources":230,"tags":232,"primary_topic":235,"secondary_topics":236,"classification":237,"search_phrases":248,"slug":251,"view_count":59,"doi":8,"paper":8,"created_at":252},2826,"山东省农科院作物所选育的济薯36获评\"美芋杯\"十佳优质甘薯品种","https:\u002F\u002Fwww.163.com\u002Fdy\u002Farticle\u002FL71746F10514EAHV.html","9月10-12日,甘薯产业高质量发展大会在河南襄城举办,会议期间举办了\"美芋杯\"十佳优质甘薯品种评选,作物所选育的济薯36入选\"十佳优质甘薯品种\"。济薯36薯块纺锤形、薯皮紫红、薯肉白色,烘干率33%~40%,鲜薯亩产3000公斤以上,高抗根腐病、抗茎线虫病,适宜山东、河北、河南、北京、山西、辽宁、陕西等北方薯区春季种植。","[![Image 5](https:\u002F\u002Fwww.163.com\u002Fdy\u002Farticle\u002FL71746F10514EAHV.html)](javascript:void(0))\n\n[网易首页](https:\u002F\u002Fwww.163.com\u002F 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9](https:\u002F\u002Fnimg.ws.126.net\u002F?url=http%3A%2F%2Fdingyue.ws.126.net%2F2026%2F0914%2F5a003989p00tlb8g0003md000o6003cg.png&thumbnail=660x2147483647&quality=80&type=jpg)\n\n9月10-12日，甘薯产业高质量发展大会在河南襄城举办。会议期间举办了“美芋杯”十佳优质甘薯品种评选，作物所选育的济薯36入选“十佳优质甘薯品种”。\n\n本次评选由国家甘薯产业技术研发中心主办，襄城县农业农村局、漯河市农业科学院、襄城县红薯产业协会承办，来自全国各个科研单位以及企业的76个甘薯品种在襄城县红薯产业园新品种展示评选。评选先期组织“田间大考”，评审团深入地块查看薯形外观、实地测产，结合蒸熟后薯形色泽，甜度、糯度和细腻度，最后通过商品率、产量与品质进行综合打分。淀粉性品种济薯36凭借优异的薯干产量表现，在参评品种中脱颖而出，跻身“十佳优质红薯品种”之列，也是该品种继2025年“福景堂杯”十佳甘薯品种之后再获殊荣。\n\n济薯36薯块纺锤形、薯皮紫红、薯肉白色，烘干率33%～40%，鲜薯亩产3000公斤以上，高抗根腐病、抗茎线虫病，适宜山东、河北、河南、北京、山西、辽宁、陕西等北方薯区春季种植。\n\n此次获奖彰显了作物所在甘薯育种领域的科研实力，进一步提升了“济薯”系列品牌的市场影响力，为科研成果的转化与推广奠定了坚实基础。（撰写：解备涛 核稿：李峰）\n\n日期：2026-09-16\n\n特别声明：以上内容(如有图片或视频亦包括在内)为自媒体平台“网易号”用户上传并发布，本平台仅提供信息存储服务。\n\nNotice: The content above (including the pictures and videos if any) is uploaded and posted by a user of NetEase Hao, which is a social media platform and only provides information storage services.\n\n[![Image 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33](https:\u002F\u002Fnimg.ws.126.net\u002F?url=http:\u002F\u002Fdingyue.ws.126.net\u002F2026\u002F09\u002F17\u002FOhRj9t3mB2muZNyxam5xMkePJfWZusZo0mvc6etu8.jpg&thumbnail=140y88&quality=80&type=jpg)](https:\u002F\u002Fwww.163.com\u002Fdy\u002Farticle\u002FL7154RKA051998HK.html?f=post2020_dy_recommends)### [河南省第九届残运会火热进行中，许昌魏都区斩获一金两铜](https:\u002F\u002Fwww.163.com\u002Fdy\u002Farticle\u002FL7154RKA051998HK.html?f=post2020_dy_recommends)\n\n河南经济网 2026-09-17 09:48:44\n\n[0 _跟贴_ 0](https:\u002F\u002Fwww.163.com\u002Fdy\u002Farticle\u002FL7154RKA051998HK.html?f=post2020_dy_recommends) \n*   [![Image 34](https:\u002F\u002Fnimg.ws.126.net\u002F?url=http:\u002F\u002Fbjnewsrec-cv.ws.126.net\u002Fdoccover_gen\u002F487b3f90_1_cover.png&thumbnail=140y88&quality=80&type=jpg)](https:\u002F\u002Fwww.163.com\u002Fdy\u002Farticle\u002FL721VBNE0514R9OJ.html?f=post2020_dy_recommends)### [许昌市示范区：以服务之细解企业之忧](https:\u002F\u002Fwww.163.com\u002Fdy\u002Farticle\u002FL721VBNE0514R9OJ.html?f=post2020_dy_recommends)\n\n环球网资讯 2026-09-17 18:11:23\n\n[0 _跟贴_ 0](https:\u002F\u002Fwww.163.com\u002Fdy\u002Farticle\u002FL721VBNE0514R9OJ.html?f=post2020_dy_recommends) \n*   [![Image 35](https:\u002F\u002Fnimg.ws.126.net\u002F?url=http:\u002F\u002Fbjnewsrec-cv.ws.126.net\u002Fthree635851a2159j00tlhhve004rd200u000mig035s02dc.jpg&thumbnail=140y88&quality=80&type=jpg)](https:\u002F\u002Fwww.163.com\u002Fdy\u002Farticle\u002FL712UMB00550F4WT.html?f=post2020_dy_recommends)### [你的社保卡该换了吗？郑州银行许昌分行提示您，三代社保卡升级办理指南来啦](https:\u002F\u002Fwww.163.com\u002Fdy\u002Farticle\u002FL712UMB00550F4WT.html?f=post2020_dy_recommends)\n\n许昌零距离 2026-09-17 09:09:16\n\n[0 _跟贴_ 0](https:\u002F\u002Fwww.163.com\u002Fdy\u002Farticle\u002FL712UMB00550F4WT.html?f=post2020_dy_recommends) \n*   [![Image 36](https:\u002F\u002Fnimg.ws.126.net\u002F?url=http:\u002F\u002Fvideoimg.ws.126.net\u002Fcover\u002F20260913\u002F6dxmSWq31_cover.jpg&thumbnail=140y88&quality=80&type=jpg)](https:\u002F\u002Fwww.163.com\u002Fv\u002Fvideo\u002FVE5PHFSMA.html?f=post2020_dy_recommends)### [蒸红薯，切记不可直接上锅蒸，多加一步，保证比烤红薯还香甜好吃](https:\u002F\u002Fwww.163.com\u002Fv\u002Fvideo\u002FVE5PHFSMA.html?f=post2020_dy_recommends)\n\n娟魔力美食 2026-09-17 06:30:00\n\n[2 _跟贴_ 2](https:\u002F\u002Fwww.163.com\u002Fv\u002Fvideo\u002FVE5PHFSMA.html?f=post2020_dy_recommends) \n*   [![Image 37](https:\u002F\u002Fnimg.ws.126.net\u002F?url=http:\u002F\u002Fvideoimg.ws.126.net\u002Fcover\u002F20260917\u002FRVougFOkC_cover.jpg&thumbnail=140y88&quality=80&type=jpg)](h","网易 \u002F 山东农科院作物所","2026-09-16T00:00:00Z",54,{"impact":45,"substance":20,"depth":13,"authority":227,"freshness":228,"relevant":22,"comment":229},11,8,"省级科研机构选育品种获行业评比奖项，属细分领域进展，有品种推广价值但缺乏全国性影响与新数据，可作为主题页种业类聚合素材。",[231],{"name":223,"url":220},[81,233,29,234],"山东省农科院","优质品种",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":238},{"candidates":239,"agricultural_evidence":46},[240,244],{"code":32,"score":45,"supported":46,"title":241,"abstract":242,"tags":243},[29],[29],[29],{"code":120,"score":22,"supported":14,"title":245,"abstract":246,"tags":247},[],[],[81],[249,250],"山东省农科院 优质品种 种业振兴 甘薯","山东省农科院 优质品种","山东省农科院优质品种种业振兴甘薯-2826","2026-09-18T00:03:27.389445Z",{"id":254,"title":255,"url":256,"summary":257,"summary_zh":8,"content":258,"source_name":259,"source_url":8,"published_at":260,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":261,"score_detail":262,"sources":265,"tags":267,"primary_topic":269,"secondary_topics":270,"classification":276,"search_phrases":292,"slug":295,"view_count":128,"doi":8,"paper":8,"created_at":296},1481,"山东农科院发布\"济薯 29\"甘薯新品种许可公告：优质早熟、烘干率 23%-26%、春薯亩产 2800-3500 公斤","http:\u002F\u002Fwww.sdnch.org.cn\u002Fpages\u002Fdetail.html?id=937","\"济薯 29\"为山东省农业科学院作物研究所选育的甘薯新品种（GPD 甘薯（2021）370013），叶掌状深裂形、薯块纺锤形、薯皮红色、薯肉橘红色、结薯集中整齐、单株结薯 6-8 个、烘干率 23%-26%、可溶性糖含量高、食味优、抗逆性较强、耐贮存；中抗根腐病和茎线虫病；春薯一般平均亩产 2800-3500 公斤。现以普通许可方式面向社会征寻实施合作伙伴，截止日期 2026 年 9 月 4 日。","欢迎来到山东省农业科技转化促进会!\n\n[登录](javascript:zh_tran('n');)[|](http:\u002F\u002Fwww.sdnch.org.cn\u002Fpages\u002Fdetail.html?id=937)[注册](javascript:zh_tran('t');)\n\n![Image 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7](http:\u002F\u002Fwww.sdnch.org.cn\u002Fimg\u002Fsjx.png)\n\n*   [山东省技术市场协会](http:\u002F\u002Fsdnch.org.cn\u002F \"山东省技术市场协会\")\n\nCopyright 2016 山东省农业科技转化促进会 鲁公网安备 37011202001782号\n\n免责声明 济南市历城区工业北路23788号 0531-66655117 qilujinqiao@163.com\n\n![Image 8](http:\u002F\u002Fwww.sdnch.org.cn\u002Fpages\u002Fdetail.html?id=937)扫码关注微信公众号","山东省农业科技转化促进会","2026-08-31T00:00:00Z",62,{"impact":75,"substance":263,"depth":45,"authority":13,"freshness":21,"relevant":22,"comment":264},18,"省级农科院发布甘薯新品种许可公告，含具体产量和品质数据，对种业转化有参考价值。",[266],{"name":259,"url":256},[81,268,233,29],"成果转化",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[271],{"code":120,"slug":272,"name":273,"path":274,"parent_code":275},"seed-industry","种业与品种管理","\u002Ftopic\u002Finputs-equipment\u002Fseed-industry","F",{"status":39,"locked":14,"version":40,"method":41,"evidence":277},{"candidates":278,"agricultural_evidence":46},[279,283,288],{"code":32,"score":45,"supported":46,"title":280,"abstract":281,"tags":282},[29],[29],[29],{"code":120,"score":76,"supported":46,"title":284,"abstract":286,"tags":287},[285],"品种许可",[],[81],{"code":95,"score":22,"supported":14,"title":289,"abstract":290,"tags":291},[],[],[268],[293,294],"山东省农科院 成果转化 种业振兴 甘薯","山东省农科院 成果转化","山东省农科院成果转化种业振兴甘薯-1481","2026-09-03T00:06:42.470271Z",{"id":298,"title":299,"url":300,"summary":301,"summary_zh":8,"content":8,"source_name":302,"source_url":300,"published_at":303,"category":138,"cover_url":8,"hotness":13,"is_selected":14,"score":139,"score_detail":304,"sources":306,"tags":308,"primary_topic":313,"secondary_topics":314,"classification":315,"search_phrases":334,"slug":337,"view_count":96,"doi":338,"paper":339,"created_at":365},1205,"Lightweight real-time detection of sweet potato virus disease by a hybrid CNN–Transformer network","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.compag.2026.112319","Timely and precise detection of sweet potato virus disease (SPVD) is essential for ensuring crop health and improving yield quality in precision agriculture. However, conventional deep learning models often struggle to capture subtle lesion features under complex field conditions. This paper proposes Swin-SPVDNet, a hybrid CNN-Transformer detection framework with task-specific architectural enhancements that combines convolutional neural networks (CNNs) with a modified Swin Transformer to effectively integrate local spatial details and global contextual information. Unlike conventional hybrid models that simply stack convolutional and transformer blocks, the proposed network introduces three key structural designs: (1) A C2PSA-enhanced convolutional backbone for improved local feature sensitivity. (2) A C3STR module that tightly integrates convolutional operations with Swin Transformer blocks for joint local–global feature interaction. (3) A Residual Attention Block (RAB) that refines feature representations while stabilizing gradient propagation. A field-collected SPVD image dataset was constructed using handheld RGB imaging under real agricultural conditions. Extensive experiments and ablation studies demonstrate that Swin-SPVDNet achieves competitive performance compared with representative state-of-the-art detectors while providing a favorable balance between detection accuracy and deployment efficiency, attaining a mean Average Precision (mAP@0.5) of 86.8%, a precision of 85.1%, and a recall of 75.6%. Compared to Yolov5-v11 models, our approach demonstrates improved robustness in detecting small and irregular lesions, particularly under occlusion and lighting variability. These results confirm the practical value of Swin-SPVDNet for real-time field deployment and support its application in intelligent disease monitoring.","Computers and Electronics in Agriculture","2026-08-25T00:00:00Z",{"impact":263,"substance":17,"depth":263,"authority":20,"freshness":59,"relevant":22,"comment":305},"提出轻量级混合CNN-Transformer模型用于甘薯病毒病实时检测，方法新颖且实验数据详实，对智能植保有参考价值。",[307],{"name":302,"url":300},[309,310,311,312,29],"智慧农业","农业人工智能","作物病害","深度学习",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":316},{"candidates":317,"agricultural_evidence":46},[318,322,329],{"code":32,"score":45,"supported":46,"title":319,"abstract":320,"tags":321},[164],[164],[29],{"code":323,"score":324,"supported":46,"title":325,"abstract":326,"tags":328},"I2",5,[],[327],"deep learning",[310,312],{"code":187,"score":96,"supported":46,"title":330,"abstract":331,"tags":333},[],[332],"precision agriculture",[309],[335,336],"农业人工智能 作物病害 智慧农业 深度学习","农业人工智能 作物病害","农业人工智能作物病害智慧农业深度学习-1205","10.1016\u002Fj.compag.2026.112319",{"doi":338,"openalex_id":340,"authors":341,"venue":302,"cited_by_count":128,"oa_url":300,"card":359,"direction":363,"ingested_from":215},"W7204154634",[342,345,348,351,353,355,357],{"name":343,"orcid":344},"Ru Han","https:\u002F\u002Forcid.org\u002F0009-0000-5128-1314",{"name":346,"orcid":347},"Lei Shu","https:\u002F\u002Forcid.org\u002F0000-0002-6700-9347",{"name":349,"orcid":350},"Grzegorz Cielniak","https:\u002F\u002Forcid.org\u002F0000-0002-6299-8465",{"name":352,"orcid":8},"Yan Zhu",{"name":354,"orcid":8},"Xing Yang",{"name":356,"orcid":8},"Fan Yang",{"name":358,"orcid":8},"Kai Huang",{"tldr":360,"method":361,"finding":362,"direction":363,"opportunity":364},"提出Swin-SPVDNet混合CNN-Transformer网络，实现甘薯病毒病轻量级实时检测。","结合C2PSA卷积骨干、C3STR模块和残差注意力块，使用手持RGB图像数据集。","mAP达86.8%，精度85.1%，召回75.6%，优于YOLOv5-v11，鲁棒性强。","农业人工智能与决策模型","可探索将混合网络应用于其他作物病害检测，或优化模型以适应更多复杂田间环境。","2026-09-01T04:03:02.220802Z",{"id":367,"title":368,"url":369,"summary":370,"summary_zh":8,"content":371,"source_name":372,"source_url":8,"published_at":8,"category":138,"cover_url":8,"hotness":13,"is_selected":14,"score":15,"score_detail":373,"sources":377,"tags":379,"primary_topic":384,"secondary_topics":385,"classification":386,"search_phrases":403,"slug":406,"view_count":102,"doi":407,"paper":8,"created_at":408},839,"中国农科院作科所等:全球首个绿豆图泛基因组——鉴定调控绿豆黄酮合成和抗豆象关键基因(原标题:A graph-based pangenome of mungbean)","https:\u002F\u002Fdoi.org\u002F10.1038\u002Fs41588-026-02644-5","中国农业科学院作物科学研究所特色农作物优异种质资源发掘与创新利用创新团队联合国内外单位,构建全球首个高质量绿豆图泛基因组。从全球580份绿豆种质资源中筛选出11份代表性材料,组装构建首个绿豆图泛基因组,鉴定出调控黄酮代谢合成、增强绿豆抵抗害虫豆象的关键基因。前者通过启动子插入及编码区突变调控黄酮积累,与荞麦黄酮合成调控机制一致;后者启动子缺失变异增强基因表达、抑制关键抗虫降解酶活性、维持种皮结构完整。成果发表在《自然·遗传学(Nature Genetics)》。注:本成果基于11份代表性核心种质,实际育种应用仍需更广泛的验证。","1.   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