[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3527":3,"related-3527":90},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":8,"source_name":9,"source_url":6,"published_at":10,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":14,"score_detail":15,"sources":22,"tags":24,"primary_topic":8,"secondary_topics":30,"classification":31,"search_phrases":62,"slug":65,"view_count":66,"doi":67,"paper":68,"created_at":89},3527,"Greenhouse gas emissions assessment and mitigation potential in Pakistan's cattle and Buffalo sector: An IPCC tier 2 inventory method with probabilistic uncertainty modeling","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.agsy.2026.104994","Greenhouse gas emissions assessment and mitigation potential in Pakistan's cattle and Buffalo sector: An IPCC tier 2 inventory method with probabilistic uncertainty modeling。Agricultural Systems",null,"Agricultural Systems","2026-09-25T00:00:00Z","论文",10,false,81,{"impact":16,"substance":17,"depth":16,"authority":18,"freshness":19,"relevant":20,"comment":21},18,22,14,9,1,"该研究采用IPCC tier 2方法结合概率不确定性建模，评估巴基斯坦牛与水牛部门温室气体排放及减排潜力，方法新颖、数据扎实，对畜牧业绿色低碳发展有参考价值，但属区域性研究，影响范围有限。",[23],{"name":9,"url":6},[25,26,27,28,29],"畜牧业","温室气体","减排","巴基斯坦","IPCC方法",[],{"status":32,"locked":13,"version":33,"method":34,"evidence":35},"needs_review","2026-10-22.2","rules",{"candidates":36,"agricultural_evidence":40,"reason":61},[37,45,51,56],{"code":38,"score":39,"supported":40,"title":41,"abstract":43,"tags":44},"B7",11,true,[42],"greenhouse",[42],[],{"code":46,"score":39,"supported":40,"title":47,"abstract":49,"tags":50},"C2",[48],"cattle",[48],[],{"code":52,"score":20,"supported":13,"title":53,"abstract":54,"tags":55},"C",[],[],[25],{"code":57,"score":20,"supported":13,"title":58,"abstract":59,"tags":60},"H4",[],[],[26],"多个产业证据相当，需要确认主归属",[63,64],"巴基斯坦 水牛 温室气体","IPCC tier 2 排放清单","巴基斯坦水牛温室气体-3527",5,"10.1016\u002Fj.agsy.2026.104994",{"doi":67,"openalex_id":69,"authors":70,"venue":9,"cited_by_count":87,"oa_url":6,"card":8,"direction":8,"ingested_from":88},"W7214389301",[71,73,76,78,81,84],{"name":72,"orcid":8},"Syed Agha Armaghan Asad Abbas Naqvi",{"name":74,"orcid":75},"Muhammad Waqas Alam Chattha","https:\u002F\u002Forcid.org\u002F0000-0003-1087-0854",{"name":77,"orcid":8},"Syed Akbar",{"name":79,"orcid":80},"Khurram Yousaf","https:\u002F\u002Forcid.org\u002F0000-0002-8897-3629",{"name":82,"orcid":83},"Almazea Fatima","https:\u002F\u002Forcid.org\u002F0009-0005-1654-2503",{"name":85,"orcid":86},"L. A. González","https:\u002F\u002Forcid.org\u002F0000-0002-6400-2588",0,"openalex","2026-09-26T23:30:05.095606Z",{"total":91,"page":20,"page_size":91,"items":92},6,[93,165,245,299,402,451],{"id":94,"title":95,"url":96,"summary":97,"summary_zh":8,"content":8,"source_name":9,"source_url":96,"published_at":10,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":98,"score_detail":99,"sources":102,"tags":104,"primary_topic":108,"secondary_topics":113,"classification":114,"search_phrases":135,"slug":138,"view_count":20,"doi":139,"paper":140,"created_at":164},3526,"Household-level greenhouse gas emissions and economic performance on the Mongolia Plateau: Typology, trade-offs and scenario pathways","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.agsy.2026.104996","Household-level greenhouse gas emissions and economic performance on the Mongolia Plateau: Typology, trade-offs and scenario pathways。Agricultural Systems",80,{"impact":16,"substance":100,"depth":16,"authority":18,"freshness":19,"relevant":20,"comment":101},21,"核心期刊论文，基于农户尺度量化温室气体排放与经济绩效的权衡关系并提出情景路径，对牧区绿色低碳发展有参考价值。",[103],{"name":9,"url":96},[25,26,105,106,107],"农户生计","农牧交错带","减排路径",{"code":38,"slug":109,"name":110,"path":111,"parent_code":112},"protected-horticulture","设施园艺与植物工厂","\u002Ftopic\u002Fhorticulture\u002Fprotected-horticulture","B",[],{"status":115,"locked":13,"version":33,"method":34,"evidence":116},"classified",{"candidates":117,"agricultural_evidence":40},[118,122,126,131],{"code":38,"score":39,"supported":40,"title":119,"abstract":120,"tags":121},[42],[42],[],{"code":52,"score":20,"supported":13,"title":123,"abstract":124,"tags":125},[],[],[25],{"code":127,"score":20,"supported":13,"title":128,"abstract":129,"tags":130},"G6",[],[],[105],{"code":57,"score":20,"supported":13,"title":132,"abstract":133,"tags":134},[],[],[26],[136,137],"蒙古高原 畜牧业 温室气体","农户 温室气体 经济绩效","蒙古高原畜牧业温室气体-3526","10.1016\u002Fj.agsy.2026.104996",{"doi":139,"openalex_id":141,"authors":142,"venue":9,"cited_by_count":87,"oa_url":96,"card":8,"direction":8,"ingested_from":88},"W7214275467",[143,146,148,150,152,154,156,159,162],{"name":144,"orcid":145},"Lulu Wang","https:\u002F\u002Forcid.org\u002F0000-0002-6901-8765",{"name":147,"orcid":8},"Jingfeng Xiao",{"name":149,"orcid":8},"Xinchao Liu",{"name":151,"orcid":8},"Haoqiang Xu",{"name":153,"orcid":8},"Zhuwen Xu",{"name":155,"orcid":8},"Susie Ruqun Wu",{"name":157,"orcid":158},"Yaoqi Zhang","https:\u002F\u002Forcid.org\u002F0009-0005-4435-4868",{"name":160,"orcid":161},"Raffaele Lafortezza","https:\u002F\u002Forcid.org\u002F0000-0003-4642-8435",{"name":163,"orcid":8},"Changliang Shao","2026-09-26T23:30:05.031703Z",{"id":166,"title":167,"url":168,"summary":169,"summary_zh":170,"content":8,"source_name":171,"source_url":168,"published_at":172,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":173,"score_detail":174,"sources":179,"tags":181,"primary_topic":186,"secondary_topics":192,"classification":193,"search_phrases":210,"slug":213,"view_count":87,"doi":214,"paper":215,"created_at":244},5557,"Improving farm productivity and profitability through AI diffusion: evidence from Punjab, Pakistan","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffrai.2026.1890862","Introduction Agriculture remains central to Pakistan's economy, with Punjab accounting for the largest share of national crop production. Despite the rapid global advancement of artificial intelligence (AI)-enabled agricultural technologies, their diffusion across farms in developing economies remains uneven and underexplored. This study examines the extent of AI diffusion among farmers in Punjab, Pakistan, and assesses its associations with perceived farm productivity and profitability. Methods Drawing on Diffusion of Innovations (DoI) theory, complemented by the Resource-Based View (RBV) and the Technology-Organisation-Environment (TOE) framework, the study adopts a quantitative, cross-sectional design using survey data from 101 farmers. Results The findings indicate that while awareness and perceived benefits of AI are relatively high, actual adoption remains moderate (AI Diffusion: M = 18.27, SD = 3.71), indicating a gap between perceived value and implementation. AI diffusion was positively correlated with perceived farm productivity ( r = 0.617, p \u003C 0.001) and perceived farm profitability ( r = 0.607, p \u003C 0.001). The findings therefore demonstrate statistically significant associations between greater AI diffusion and stronger perceived farm performance, while not establishing causal effects. Discussion The observed perception-adoption gap is consistent with structural barriers identified in previous research, including high investment costs, limited digital infrastructure and technical capability constraints. The study contributes context-specific evidence on digital agriculture in a developing economy by jointly examining AI diffusion, productivity and profitability. The findings highlight the importance of infrastructure, institutional support and capability development in facilitating wider and more effective adoption of AI-enabled agricultural technologies.","引言 农业仍然是巴基斯坦经济的核心，其中旁遮普省占全国农作物产量的最大份额。尽管人工智能（AI）赋能农业技术在全球范围内快速发展，但其在发展经济体农场中的扩散仍不均衡且研究不足。本研究考察了巴基斯坦旁遮普省农民中AI扩散的程度，并评估其与感知农场生产力和盈利能力的关联。方法 本研究以创新扩散理论（DoI）为基础，辅以资源基础观（RBV）和技术—组织—环境（TOE）框架，采用定量横断面设计，使用来自101名农民的调查数据。结果 研究结果表明，尽管农民对AI的认知和感知收益相对较高，但实际采用程度仍处于中等水平（AI扩散：M = 18.27，SD = 3.71），表明感知价值与实施之间存在差距。AI扩散与感知农场生产力（r = 0.617，p \u003C 0.001）和感知农场盈利能力（r = 0.607，p \u003C 0.001）呈正相关。因此，研究结果证明了更高程度的AI扩散与更强的感知农场绩效之间存在统计学显著关联，但并未确立因果关系。讨论 所观察到的感知—采用差距与既有研究中识别的结构性障碍相一致，包括高投资成本、有限的数字基础设施和技术能力约束。本研究通过联合考察AI扩散、生产力和盈利能力，为发展中经济体的数字农业提供了情境化证据。研究结果凸显了基础设施、制度支持和能力建设在促进AI赋能农业技术更广泛、更有效采用方面的重要性。","Frontiers in Artificial Intelligence","2026-10-21T00:00:00Z",68,{"impact":175,"substance":16,"depth":176,"authority":177,"freshness":12,"relevant":20,"comment":178},12,15,13,"基于101户调查的实证研究，揭示AI认知与采纳落差及其与感知绩效的正相关，对发展中国家数字农业推广有参考价值，但样本小、非因果、地域性强，属细分领域进展。",[180],{"name":171,"url":168},[182,183,184,28,185],"智慧农业","农业人工智能","技术扩散","小农采纳",{"code":187,"slug":188,"name":189,"path":190,"parent_code":191},"I2","agricultural-ai","农业AI与大模型","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-ai","I",[],{"status":115,"locked":13,"version":33,"method":34,"evidence":194},{"candidates":195,"agricultural_evidence":40},[196,204],{"code":197,"score":198,"supported":40,"title":199,"abstract":200,"tags":203},"I1",7,[],[201,202],"数字农业","digital agriculture",[182],{"code":187,"score":205,"supported":40,"title":206,"abstract":207,"tags":209},4,[],[208],"artificial intelligence",[183],[211,212],"农业人工智能 小农采纳 巴基斯坦 技术扩散","农业人工智能 小农采纳","农业人工智能小农采纳巴基斯坦技术扩散-5557","10.3389\u002Ffrai.2026.1890862",{"doi":214,"openalex_id":216,"authors":217,"venue":171,"cited_by_count":87,"oa_url":236,"card":237,"direction":243,"ingested_from":88},"W7223153473",[218,220,222,225,228,230,232,234],{"name":219,"orcid":8},"Aeman Khalid",{"name":221,"orcid":8},"Colin Akhurst",{"name":223,"orcid":224},"Sayed Abdul Majid Gilani","https:\u002F\u002Forcid.org\u002F0000-0002-4340-1643",{"name":226,"orcid":227},"Firas Armosh","https:\u002F\u002Forcid.org\u002F0009-0006-6458-3331",{"name":229,"orcid":8},"Syeda Aqsa Zanib",{"name":231,"orcid":8},"Jack Boath",{"name":233,"orcid":8},"Richard Stanley Peel",{"name":235,"orcid":8},"Yohani Jinadasa","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fartificial-intelligence\u002Farticles\u002F10.3389\u002Ffrai.2026.1890862\u002Fpdf",{"tldr":238,"method":239,"finding":240,"direction":241,"opportunity":242},"基于巴基斯坦旁遮普省101份农户调查，分析AI技术扩散与农场生产力、盈利能力的关系。","基于DoI、RBV、TOE框架的问卷调查与相关分析，样本101户。","AI认知高但采用率中等，AI扩散与感知生产力(r=0.617)和盈利能力(r=0.607)显著正相关","数字乡村与农业信息化","可延伸研究AI认知—采用鸿沟的成因机制，并开展纵向或准实验设计验证因果效应。","智慧农业 \u002F 农业物联网","2026-10-22T11:20:18.656192Z",{"id":246,"title":247,"url":248,"summary":249,"summary_zh":250,"content":8,"source_name":251,"source_url":248,"published_at":252,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":253,"score_detail":254,"sources":258,"tags":260,"primary_topic":265,"secondary_topics":269,"classification":270,"search_phrases":278,"slug":281,"view_count":87,"doi":282,"paper":283,"created_at":298},5544,"Sustainable service scenes: formation mechanism of consumers’ premium purchase of specialty agricultural and livestock products in short-video live streaming","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1993041","Advancing the market realization of premium pricing for high-quality agricultural and livestock products is essential to facilitating the transition of traditional agriculture toward a sustainable, resource-efficient, and quality-driven development paradigm. However, Information asymmetry in the agricultural and livestock products market gives rise to the “lemons problem,” impeding the sustainable consumption of high-quality, differentiated products and undermining their ability to command premium pricing. With the development of the digital economy, short-video live streaming has emerged as a new driver for promoting the sustainable consumption of such products at premium prices. Drawing on servicescape theory, this study uses Inner Mongolia mutton as a representative case and constructs a structural equation model based on 402 valid questionnaires to examine the formation mechanism of consumers’ premium purchase intentions for specialty agricultural and livestock products in short-video live streaming. In addition, multi-group analysis is conducted to examine whether these mechanisms differ across consumers with different demographic characteristics. The results indicate that short-video live streaming effectively encourages consumers to purchase specialty agricultural and livestock products at premium prices through the dual pathways of “scene reconstruction–value upgrading” and “scene reconstruction–trust establishment.” Further, multi-group analysis reveals significant differences in consumers’ psychological responses and purchase intentions across demographic groups. This study provides a theoretical basis and practical insights for promoting the sustainable consumption of specialty agricultural and livestock products at premium prices, and thereby contribute to the long-term sustainability of the agricultural sector.","推进优质农产品和畜产品优质优价的市场实现，对于促进传统农业向可持续、资源节约型和品质驱动型发展范式转型至关重要。然而，农产品和畜产品市场中的信息不对称引发了“柠檬问题”，阻碍了优质差异化产品的可持续消费，并削弱了其实现优质优价的能力。随着数字经济的发展，短视频直播已成为促进此类产品优质优价可持续消费的新动力。本研究基于服务场景理论，以内蒙古羊肉为代表性案例，基于402份有效问卷构建结构方程模型，考察短视频直播中消费者对特色农产品和畜产品溢价购买意愿的形成机制。此外，通过多群组分析检验这些机制在不同人口统计特征消费者之间是否存在差异。结果表明，短视频直播通过“场景重构—价值升级”和“场景重构—信任建立”的双重路径，有效促进消费者以溢价购买特色农产品和畜产品。进一步的多群组分析揭示，不同人口统计群体消费者在心理反应和购买意愿方面存在显著差异。本研究为促进特色农产品和畜产品优质优价的可持续消费提供了理论基础和实践启示，进而有助于农业部门的长期可持续发展。","Frontiers in Sustainable Food Systems","2026-10-22T00:00:00Z",71,{"impact":175,"substance":255,"depth":256,"authority":177,"freshness":12,"relevant":20,"comment":257},20,16,"基于402份问卷的结构方程模型实证，揭示短视频直播场景重构驱动特色农产品溢价消费的双路径机制，对农产品电商与品牌溢价有参考价值，但属单案例学术研究，产业影响有限。",[259],{"name":251,"url":248},[25,261,262,263,264],"特色农产品","短视频直播","溢价购买","服务场景",{"code":52,"slug":266,"name":267,"path":268,"parent_code":8},"livestock","畜牧兽医","\u002Ftopic\u002Flivestock",[],{"status":271,"locked":13,"version":33,"method":34,"evidence":272},"partial",{"candidates":273,"agricultural_evidence":40},[274],{"code":52,"score":175,"supported":40,"title":275,"abstract":276,"tags":277},[266],[266],[25],[279,280],"内蒙古羊肉 短视频直播 溢价购买","特色农产品 短视频直播 服务场景 溢价购买","内蒙古羊肉短视频直播溢价购买-5544","10.3389\u002Ffsufs.2026.1993041",{"doi":282,"openalex_id":284,"authors":285,"venue":251,"cited_by_count":87,"oa_url":248,"card":293,"direction":241,"ingested_from":88},"W7223146436",[286,288,291],{"name":287,"orcid":8},"Pei Jie",{"name":289,"orcid":290},"Liangyuan Song","https:\u002F\u002Forcid.org\u002F0009-0001-0240-5269",{"name":292,"orcid":8},"Liu Hehe",{"tldr":294,"method":295,"finding":296,"direction":241,"opportunity":297},"基于服务场景理论，用内蒙古羊肉案例研究短视频直播中特色农产品溢价购买的形成机制。","服务场景理论+结构方程模型，402份问卷，多群组分析。","直播通过“场景重构-价值升级”和“场景重构-信任建立”双路径促进溢价购买，且存在人口统计差异。","可延伸至不同品类与平台对比，或将直播场景要素量化接入农产品溯源与信任机制研究。","2026-10-22T11:20:15.054936Z",{"id":300,"title":301,"url":302,"summary":303,"summary_zh":304,"content":8,"source_name":305,"source_url":302,"published_at":306,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":87,"score_detail":307,"sources":309,"tags":311,"primary_topic":8,"secondary_topics":315,"classification":316,"search_phrases":327,"slug":330,"view_count":87,"doi":331,"paper":332,"created_at":401},5181,"Satellite Remote Sensing of Methane Point Sources: A Review of Capabilities and Applications","https:\u002F\u002Fdoi.org\u002F10.5194\u002Fegusphere-2026-6060","Abstract. The ability to remotely sense methane point sources continues to grow, driven by new satellite launches, newly discovered detection capabilities in satellites not originally intended for methane observation, and increasingly mature data processing and delivery pipelines. We review current and anticipated satellite remote sensing capabilities, including a description of instrument specifications, sampling strategies, and data availability. We detail algorithms that drive general methane plume processing pipelines and associated validation experiments across multiple product levels. We describe categories of stakeholder and science driven use cases that use satellite point source datasets. In particular, we detail several mitigation programs that use satellite point source detections to inform leak detection and verification (e.g., IMEO Methane Alert and Response System; California Satellite Methane Project). We also summarize research to date that incorporates point source datasets to inform practices to reduce emissions and aid aggregate accounting of emissions from facilities to regional scales. Continued work to establish common validation standards and reference sites to make detection and quantification performance comparable across instruments is recommended for building increased confidence in plume datasets. However, the successful integration of satellite point source imager observations into stakeholder workstreams demonstrates that these datasets are equipped today to support climate policy, operator response, and emissions accounting.","摘要：遥感甲烷点源的能力持续增强，这得益于新卫星的发射、原本并非用于甲烷观测的卫星上新发现的探测能力，以及日益成熟的数据处理与分发流程。本文综述了当前及预期的卫星遥感能力，包括仪器规格、采样策略和数据可获取性的描述。我们详细介绍了驱动通用甲烷羽流处理流程的算法，以及跨多个产品层级的相关验证实验。我们描述了利用卫星点源数据集的相关方和科学驱动用例的类别。特别是，我们详述了几个利用卫星点源探测为泄漏检测与核证提供信息的减排项目（例如，IMEO甲烷警报与响应系统；加州卫星甲烷项目）。我们还总结了迄今为止将点源数据集纳入研究以指导减排实践、并辅助从设施到区域尺度的排放总量核算的工作。建议继续努力建立统一的验证标准和参考站点，使不同仪器间的探测与量化性能具有可比性，从而增强对羽流数据集的信心。然而，卫星点源成像仪观测成功融入相关方工作流程表明，这些数据集目前已具备支持气候政策、运营者响应和排放核算的能力。","OpenAlex","2026-10-15T00:00:00Z",{"impact":87,"substance":87,"depth":87,"authority":87,"freshness":87,"relevant":87,"comment":308},"该文为卫星遥感甲烷点源综述，属环境与气候监测领域，与三农、农业信息化、智慧农业无直接关联，不建议进入每日精选。",[310],{"name":305,"url":302},[26,312,313,314],"卫星遥感","甲烷监测","排放核算",[],{"status":32,"locked":13,"version":33,"method":34,"evidence":317},{"candidates":318,"agricultural_evidence":13,"reason":326},[319],{"code":320,"score":176,"supported":40,"title":321,"abstract":323,"tags":325},"I3",[322],"remote sensing",[324,322],"遥感",[312],"农业相关性需要复核",[328,329],"卫星遥感 甲烷点源","甲烷泄漏 检测 卫星","卫星遥感甲烷点源-5181","10.5194\u002Fegusphere-2026-6060",{"doi":331,"openalex_id":333,"authors":334,"venue":8,"cited_by_count":87,"oa_url":393,"card":394,"direction":400,"ingested_from":88},"W7222319315",[335,338,341,344,346,349,352,355,358,361,364,367,370,373,376,379,382,385,387,390],{"name":336,"orcid":337},"Daniel Cusworth","https:\u002F\u002Forcid.org\u002F0000-0003-0158-977X",{"name":339,"orcid":340},"Daniel J. Varon","https:\u002F\u002Forcid.org\u002F0000-0002-3207-5731",{"name":342,"orcid":343},"Dylan Jervis","https:\u002F\u002Forcid.org\u002F0009-0009-5387-635X",{"name":345,"orcid":8},"Jason McKeever",{"name":347,"orcid":348},"Alexander J. Turner","https:\u002F\u002Forcid.org\u002F0000-0003-1406-7372",{"name":350,"orcid":351},"Christian Frankenberg","https:\u002F\u002Forcid.org\u002F0000-0002-0546-5857",{"name":353,"orcid":354},"John R. Worden","https:\u002F\u002Forcid.org\u002F0000-0003-0257-9549",{"name":356,"orcid":357},"Andrew K. Thorpe","https:\u002F\u002Forcid.org\u002F0000-0001-7968-5433",{"name":359,"orcid":360},"Jay E. Fahlen","https:\u002F\u002Forcid.org\u002F0000-0002-1660-8104",{"name":362,"orcid":363},"Sudhanshu Pandey","https:\u002F\u002Forcid.org\u002F0000-0001-5938-385X",{"name":365,"orcid":366},"Joannes D. Maasakkers","https:\u002F\u002Forcid.org\u002F0000-0001-8118-0311",{"name":368,"orcid":369},"Ilse Aben","https:\u002F\u002Forcid.org\u002F0000-0003-2198-0768",{"name":371,"orcid":372},"A. Eldering","https:\u002F\u002Forcid.org\u002F0000-0003-1080-9922",{"name":374,"orcid":375},"Riley Duren","https:\u002F\u002Forcid.org\u002F0000-0003-4723-5280",{"name":377,"orcid":378},"Bradley Conrad","https:\u002F\u002Forcid.org\u002F0000-0003-3678-7434",{"name":380,"orcid":381},"Tia R. Scarpelli","https:\u002F\u002Forcid.org\u002F0000-0001-5544-8732",{"name":383,"orcid":384},"Daniel M. Bon","https:\u002F\u002Forcid.org\u002F0000-0002-0186-5087",{"name":386,"orcid":8},"Mackenzie Huffman",{"name":388,"orcid":389},"Itziar Irakulis‐Loitxate","https:\u002F\u002Forcid.org\u002F0000-0003-3646-4950",{"name":391,"orcid":392},"Luis Guanter","https:\u002F\u002Forcid.org\u002F0000-0002-8389-5764","https:\u002F\u002Fegusphere.copernicus.org\u002Fpreprints\u002F2026\u002Fegusphere-2026-6060\u002Fegusphere-2026-6060.pdf",{"tldr":395,"method":396,"finding":397,"direction":398,"opportunity":399},"综述卫星甲烷点源遥感能力、算法与利益相关方应用案例。","综述多卫星仪器规格、羽流处理算法、验证实验及泄漏检测项目。","卫星点源数据已可支撑气候政策、运营商响应与排放核算。","农业绿色发展与碳","农业甲烷（如稻田、畜禽）点源卫星监测与验证标准尚属空白，可切入。","农业遥感与作物表型","2026-10-17T23:30:31.714319Z",{"id":403,"title":404,"url":405,"summary":406,"summary_zh":8,"content":8,"source_name":407,"source_url":8,"published_at":408,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":409,"score_detail":410,"sources":414,"tags":416,"primary_topic":420,"secondary_topics":421,"classification":422,"search_phrases":435,"slug":438,"view_count":439,"doi":440,"paper":441,"created_at":450},4729,"让畜牧系统可比:比较性畜牧业可持续性研究框架","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1974030\u002Ffull","基于70份1909至2004年美国动物科学学会档案,采用反思性主题分析与历史诠释方法审视动物科学的跨情境可比性问题。研究发现专业化、孤立实验与碎片化问题解决被反复识别为局限,呼吁更综合的视野与对全球动物生产的参与","Frontiers in Sustainable Food Systems 2026-10-06","2026-10-06T00:00:00Z",61,{"impact":411,"substance":16,"depth":412,"authority":177,"freshness":66,"relevant":20,"comment":413},8,17,"基于百年档案的反思性研究，方法新颖但偏学术理论，产业落地价值有限，可作为学术视角补充。",[415],{"name":407,"url":405},[25,417,418,419],"可持续农业","动物科学","科研档案",{"code":52,"slug":266,"name":267,"path":268,"parent_code":8},[],{"status":271,"locked":13,"version":33,"method":34,"evidence":423},{"candidates":424,"agricultural_evidence":40},[425,430],{"code":52,"score":19,"supported":40,"title":426,"abstract":428,"tags":429},[427],"畜牧",[],[25],{"code":431,"score":20,"supported":13,"title":432,"abstract":433,"tags":434},"H8",[],[],[417],[436,437],"美国动物科学学会 档案","畜牧业 可持续性 比较研究","美国动物科学学会档案-4729",2,"10.3389\u002Ffsufs.2026.1974030\u002Ffull",{"doi":440,"openalex_id":8,"authors":442,"venue":8,"cited_by_count":87,"oa_url":8,"card":443,"direction":447,"ingested_from":449},[],{"tldr":444,"method":445,"finding":446,"direction":447,"opportunity":448},"通过历史档案反思性分析，探讨畜牧系统跨情境可比性问题并提出比较性可持续研究框架。","分析70份1909-2004年美国动物科学学会档案，用反思性主题分析与历史诠释法","专业化与孤立实验导致碎片化，需更综合视野和全球动物生产参与。","其他","可构建畜牧系统可比性指标体系，结合数字技术实现跨情境可持续性评估。","agent","2026-10-12T00:11:14.558464Z",{"id":452,"title":453,"url":454,"summary":455,"summary_zh":8,"content":456,"source_name":457,"source_url":8,"published_at":458,"category":459,"cover_url":8,"hotness":460,"is_selected":40,"score":461,"score_detail":462,"sources":466,"tags":474,"primary_topic":480,"secondary_topics":485,"classification":486,"search_phrases":521,"slug":524,"view_count":505,"doi":8,"paper":8,"created_at":525},3927,"农业农村部印发《全国畜牧兽医行业发展\"十五五\"规划》","https:\u002F\u002Fxmsyj.jining.gov.cn\u002Fart\u002F2026\u002F9\u002F30\u002Fart_9391_2706676.html","规划部署了5方面重点任务：强化产业发展综合调控、推动产业提质增效、提升动物疫病风险防控效能、促进产业绿色安全发展、强化科技装备支撑；其中明确提出强化科技创新和成果转化推广、全面推行养殖业节粮、加快推进人工智能运用和智慧畜牧业发展。规划还部署\"生猪产能常态化精准调控\"\"畜牧业提质增效\"\"动物疫病风险防控\"等专栏，明确区域布局，细化任务措施。","今天是 2026年10月2日 星期五[简体](javascript:zh_tran('n');)[繁体](javascript:zh_tran('t');)[无障碍阅读](javascript:;)\n\n![Image 1](https:\u002F\u002Fxmsyj.jining.gov.cn\u002Fpicture\u002F0\u002F2105191407404717973.png)\n\n[首页](https:\u002F\u002Fxmsyj.jining.gov.cn\u002F)[济宁畜牧](https:\u002F\u002Fxmsyj.jining.gov.cn\u002Fcol\u002Fcol9358\u002Findex.html)[政务公开](https:\u002F\u002Fxmsyj.jining.gov.cn\u002Fcol\u002Fcol9359\u002Findex.html)[互动交流](http:\u002F\u002Fwww.jining.gov.cn\u002Fjact\u002Ffront\u002Fmailwrite.do?sysid=1)[办事服务](https:\u002F\u002Fxmsyj.jining.gov.cn\u002Fcol\u002Fcol9361\u002Findex.html)[行业动态](https:\u002F\u002Fxmsyj.jining.gov.cn\u002Fcol\u002Fcol9362\u002Findex.html)[畜牧科技](https:\u002F\u002Fxmsyj.jining.gov.cn\u002Fcol\u002Fcol9363\u002Findex.html)\n\n![Image 2](https:\u002F\u002Fxmsyj.jining.gov.cn\u002Fimages\u002F510\u002Fsdxm_dishi_pic_tywzy.jpg)当前位置：[首页](https:\u002F\u002Fxmsyj.jining.gov.cn\u002Findex.html)>[政务公开](https:\u002F\u002Fxmsyj.jining.gov.cn\u002Fcol\u002Fcol9359\u002Findex.html)>[工作动态](https:\u002F\u002Fxmsyj.jining.gov.cn\u002Fcol\u002Fcol9386\u002Findex.html)>[政务动态](https:\u002F\u002Fxmsyj.jining.gov.cn\u002Fcol\u002Fcol9391\u002Findex.html)\n\n推进畜牧业提质增效 加快构建高质量发展新格局——农业农村部畜牧兽医局负责人就《全国畜牧兽医行业发展“十五五”规划》答记者问 * * * 发布日期：2026-09-30 16:32:45 来源： 农业农村部新闻办公室 字号：[ [大](javascript:doZoom(16))[中](javascript:doZoom(14))[小](javascript:doZoom(12)) ][![Image 3](https:\u002F\u002Fxmsyj.jining.gov.cn\u002Fpicture\u002F0\u002F1711081543339464232.png)](javascript:void(0)) 近期，农业农村部印发《全国畜牧兽医行业发展“十五五”规划》（以下简称《规划》）。日前，农业农村部畜牧兽医局负责人就《规划》有关情况回答了记者提问。 **问：《规划》出台有什么背景考虑？** 答：现代畜牧业是践行大食物观、构建多元化食物供给体系的战略产业，是农业农村经济的支柱产业。“十四五”时期，现代畜牧业建设取得新成效。畜禽产品综合生产能力跃上新台阶。2025年，我国肉蛋奶总产量超过1.75亿吨，连续3年保持在1.7亿吨以上，其中肉类总产量首次突破1亿吨。以规模养殖为主体的现代生产方式基本形成。全国畜禽养殖规模化率达到76.9%，带动先进适用技术和装备广泛应用，畜牧业科技贡献率达到70%，畜禽粪污综合利用率超过80%。重大动物疫病防控能力逐步增强。非洲猪瘟等重大动物疫病得到有效防控，养殖环节整体生物安全防护水平大幅提升，动物疫情总体平稳可控。现代产业体系趋于完备。构建了饲草料、兽药、种畜禽生产以及设施装备、销售流通、屠宰加工等相配套的产业体系。工业饲料产量连续15年位居世界第一；国产种源市场占有率超过80%。产业调控管理体系进一步健全。畜禽产品质量安全保持较高水平，抽检合格率稳定在99%以上；产能综合调控机制和政策制度体系逐步完善。畜牧业高质量发展基础不断夯实，但也面临着畜禽产品供需形势发生变化、产业结构不够合理、疫情风险长期存在等挑战，还存在优质饲草料供应短缺、绿色发展不充分、优质特色产品供给不足、种业创新推广有差距等短板，亟需加快转型升级步伐，构建高质量发展新格局。 党中央、国务院高度重视畜牧兽医工作。《中华人民共和国国民经济和社会发展第十五个五年规划纲要》和《加快农业农村现代化“十五五”规划》均对畜牧兽医工作作出部署安排。2026年中央政治局会议两次对稳定生猪等农畜产品生产和价格提出明确要求。农业农村部贯彻落实党中央、国务院决策部署，立足新阶段、适应新形势，在深入调查研究、广泛征求意见的基础上，制定印发《规划》，旨在明确发展思路、总体目标、重点任务，引导行业准确把握发展方向，凝心聚力共同推进畜牧业高质量发展。 **问：《规划》的总体思路目标是什么？** 答：《规划》坚持以习近平新时代中国特色社会主义思想为指导，深入贯彻落实党的二十大和二十届历次全会精神，认真落实四中全会部署，全面贯彻习近平总书记关于“三农”工作的重要论述和重要指示精神，完整准确全面贯彻新发展理念，坚持稳中求进工作总基调，树立和践行大食物观，以稳产、提质、增效为目标，统筹发展和安全，坚持产量产能、生产生态、增产增收一起抓，促进全产业链提档升级，加快构建供需动态适配、规模结构合理、产业链协同提升、环境资源可持续的畜牧业高质量发展新格局。 《规划》明确提出，到2030年，畜牧业高质量发展迈上新台阶，主要畜禽产品稳定安全供给更有保障，产业素质提升更有质量。综合生产能力进一步巩固，产品结构持续优化，优质特色畜产品供应更加丰富，养殖规模化、设施化水平稳步提升，科技支撑作用进一步增强。规模结构和产业生态更加优化，大型企业联农带农作用进一步强化，利益分配机制逐步完善，上下游产业生态更加协同，中小养殖场户发展质量明显提升。重大动物疫病得到有效防控，种畜禽疫病净化取得积极成效，人畜共患病风险稳步降低，兽医公共卫生安全水平进一步提高。畜禽产品质量安全保持更高水平，单位畜禽产品使用兽用抗菌药数量总体下降。绿色转型取得新成效，畜禽粪污资源化利用水平持续提升，种养结合农牧循环格局基本形成。 **问：《规划》在具体发展目标设定上有哪些考虑？** 答：兼顾前瞻性和可行性，《规划》提出15项定量目标，包括肉类总产量、禽蛋产量、奶类产量、工业饲料总产量、饲草总产量等5项产量指标，畜禽养殖规模化率、国产种源市场占有率、科技进步贡献率、畜禽粪污综合利用率、畜禽产品抽检合格率等5项产业综合素质指标，新兽药产品注册数量、跨省调运畜禽落地报告率、执业兽医数量、规模以上生猪屠宰厂（场）数量占比以及动物疫病净化场、无疫小区、无疫区数量等5项专项领域发展指标，综合反映了畜牧兽医行业各个领域和环节的发展需要，在稳定生产基础上，突出了提质增效、优化结构等目标取向。其中，肉类总产量指标未设定增量目标，主要考虑是适应生猪综合生产能力快速提升、猪肉消费基本达峰的供需新形势，落实生猪产能综合调控要求，引导生猪产业由数量增长转向高质量发展。 **问：《规划》部署了哪些重点任务？** 答：《规划》着眼构建高质量发展新格局，坚持发展生产和优化结构相结合，着力防风险、固安全、增绿色，共部署了5方面重点任务。一是强化产业发展综合调控。建立健全产业综合调控机制，规范引导大型养殖企业有序发展，推动中小养殖场户融入现代生产体系。二是推动产业提质增效。稳定大宗畜禽产品生产，培育推广优良畜禽品种，发展优质特色畜禽产业，发展壮大饲草产业，提升畜禽产品加工流通水平，加强畜牧业品牌建设。三是提升动物疫病风险防控效能。强化重大动物疫病防控，加快推进重点动物疫病净化，增强动物检疫监管能力，加强动物诊疗管理。四是促进产业绿色安全发展。全面提升养殖产品质量安全水平，规范畜禽屠宰行业发展，推进畜禽粪污处理利用，防范安全生产风险。五是强化科技装备支撑。强化科技创新和成果转化推广，全面推行养殖业节粮，加快推进人工智能运用和智慧畜牧业发展。 **问：如何保障《规划》落实落地？** 答：结合重大工程项目和重点工作计划，《规划》设置了“生猪产能常态化精准调控”、“畜牧业提质增效”、“动物疫病风险防控”等专栏，明确区域布局，细化任务措施，量化任务目标，确保《规划》可落实、见实效。 同时，《规划》还提出了4项保障措施。一是强化责任落实。推动落实地方各级人民政府、行业管理部门、生产经营主体责任，引导加强行业自律。二是加强法治保障。健全畜牧兽医领域法律法规体系，完善相关配套规章制度及技术标准体系，完善基层综合执法工作机制。三是强化政策协同。强化产业政策、环保监管、产能调控等政策的协同联动，推动完善部门工作机制。加强项目资金全过程监管。四是加强人才队伍建设。加强基层动物防疫和畜牧技术推广队伍建设，强化官方兽医队伍管理，开展执业兽医和乡村兽医继续教育，发挥畜牧业产业技术体系作用，打造高素质专业队伍。 [【复制链接】](https:\u002F\u002Fxmsyj.jining.gov.cn\u002Fart\u002F2026\u002F9\u002F30\u002Fart_9391_2706676.html#)[【打印本页】](javascript:window.print())[【关闭窗口】](javascript:window.close()) 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2026-10-06","https:\u002F\u002Fwww.jingjiribao.cn\u002Fstatic\u002Fdetail.jsp?id=687271",[475,25,476,477,478,479],"十五五规划","动物疫病防控","绿色养殖","智慧畜牧","畜禽种业",{"code":481,"slug":482,"name":483,"path":484,"parent_code":52},"C6","smart-livestock","养殖环境与智慧畜牧","\u002Ftopic\u002Flivestock\u002Fsmart-livestock",[],{"status":115,"locked":13,"version":33,"method":34,"evidence":487},{"candidates":488,"agricultural_evidence":40},[489,493,497,503,510,516],{"code":52,"score":175,"supported":40,"title":490,"abstract":491,"tags":492},[427],[427],[25],{"code":481,"score":66,"supported":40,"title":494,"abstract":495,"tags":496},[],[478],[478,477],{"code":498,"score":205,"supported":40,"title":499,"abstract":500,"tags":502},"C5",[],[501],"动物疫病",[476],{"code":504,"score":505,"supported":40,"title":506,"abstract":507,"tags":509},"C1",3,[],[508],"生猪",[],{"code":511,"score":505,"supported":40,"title":512,"abstract":513,"tags":515},"G1",[],[514],"成果转化",[],{"code":517,"score":20,"supported":13,"title":518,"abstract":519,"tags":520},"J1",[],[],[475],[522,523],"农业农村部 畜牧兽医局 答记者问","动物疫病防控 十五五规划 智慧畜牧 畜禽种业","农业农村部畜牧兽医局答记者问-3927","2026-10-02T11:53:08.773753Z"]