[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2747":3,"related-2747":113},{"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":23,"tags":25,"primary_topic":31,"secondary_topics":37,"classification":38,"search_phrases":83,"slug":86,"view_count":21,"doi":87,"paper":88,"created_at":112},2747,"Simulation of the entire process and multi-dimensional sustainability assessment of regional water footprint supply chain using the SCOR-SD-BN coupled framework","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.agsy.2026.104984","Context Global water resources face critical challenges such as pollution, over-exploitation, and inequitable distribution. This necessitates the development of scientific frameworks to effectively evaluate the sustainability of water resource management. Objective This study establishes a theoretical framework for the agricultural water footprint supply chain, directly elucidates the transformation mechanisms and sustainable evaluation methods from farmland water use to final products, and constructs a system dynamics model for the agricultural water footprint in Heilongjiang Province. This model simulates dynamic processes, enables real-time evaluation of multidimensional sustainability, and analyzes dominant paths. Methods Drawing on the Supply Chain Operations Reference (SCOR) model, this study treated water footprint (WF) and water value as equivalent to the supply chain's total cost and total revenue, respectively. It established a WF supply chain transformation mechanism from water consumption to the product side and used a system dynamics (SD) model to simulate the entire WF supply chain process in Heilongjiang Province, quantitatively analyzing supply chain structure diversity and disturbance amplification. Based on this, a multidimensional evaluation index system covering economic, environmental, and social dimensions was constructed and, in combination with Bayesian Network (BN), fuzzy logic, and semantic mapping, facilitated multidimensional dynamic evaluation and dominant path identification of regional WF supply chain sustainability. Results and conclusions The research findings demonstrate that (1) From 2000 to 2050, both the total cost and total revenue of Heilongjiang Province's WF supply chain consistently exhibit an initial increase followed by a decrease, with the disturbance amplification effect present across all sectoral WF supply chains. (2) In agriculture, apple and beef cattle supply chains possess the strongest sustainability, while soybean and sheep supply chains display the weakest. In the industry, the food manufacturing sector has the strongest sustainability, while the electric heating and metallurgical sectors are the weakest. (3) The comprehensive sustainability index of the WF Supply Chain pursues a distinctly fluctuating upward trajectory from 2000 to 2025. Under the established scenario, the index is projected to continue rising overall from 2026 to 2050, reaching approximately 0.83 around 2045, entering the high sustainability level, and becoming largely stable by 2050. Environmental improvement stands out as the primary strategy when sustainability is low, while economic factors become the principal constraint when sustainability is high. Significance This research establishes a novel analytical framework and quantitative tool for assessing the sustainability of water resource management. The findings decisively guide the promotion of sustainable utilization and management of regional water resources.","背景 全球水资源面临污染、过度开采和分配不均等严峻挑战，亟需构建科学框架以有效评估水资源管理的可持续性。目的 本研究建立农业水足迹供应链的理论框架，直接阐明从农田用水到最终产品的转化机制与可持续评价方法，并构建黑龙江省农业水足迹的系统动力学模型，模拟动态过程，实现多维可持续性的实时评估，并分析主导路径。方法 借鉴供应链运作参考（SCOR）模型，本研究将水足迹（WF）和水价值分别等同于供应链的总成本和总收益，建立了从水消耗到产品端的WF供应链转化机制，并运用系统动力学（SD）模型模拟黑龙江省整个WF供应链过程，定量分析供应链结构多样性和扰动放大效应。在此基础上，构建涵盖经济、环境和社会维度的多维评价指标体系，并结合贝叶斯网络（BN）、模糊逻辑和语义映射，实现区域WF供应链可持续性的多维动态评价和主导路径识别。结果与结论 研究结果表明：（1）2000年至2050年，黑龙江省WF供应链的总成本和总收益均呈现先增后减的趋势，扰动放大效应存在于所有部门WF供应链中。（2）在农业中，苹果和肉牛供应链的可持续性最强，而大豆和绵羊供应链的可持续性最弱。在工业中，食品制造业的可持续性最强，而电热和冶金部门的可持续性最弱。（3）WF供应链的综合可持续性指数在2000年至2025年间呈现明显的波动上升轨迹。在既定情景下，该指数预计在2026年至2050年间总体继续上升，约在2045年达到约0.83，进入高可持续",null,"Agricultural 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heterogeneous associations between ESG-related mechanisms and farm economic sustainability-evidence from Spanish sheep and goat farming","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.agsy.2026.105022","Beyond profitability: heterogeneous associations between ESG-related mechanisms and farm economic sustainability-evidence from Spanish sheep and goat farming。Agricultural 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Morote","https:\u002F\u002Forcid.org\u002F0000-0001-5502-3646","2026-10-22T11:20:12.622588Z",{"id":227,"title":228,"url":229,"summary":230,"summary_zh":9,"content":9,"source_name":231,"source_url":9,"published_at":232,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":233,"score_detail":234,"sources":238,"tags":240,"primary_topic":246,"secondary_topics":247,"classification":254,"search_phrases":266,"slug":269,"view_count":104,"doi":9,"paper":270,"created_at":279},5534,"DC-YOLO：应对遮挡与光照变化的湖羊行为检测模型","https:\u002F\u002Ffinance.sina.com.cn\u002Froll\u002F2026-10-19\u002Fdoc-inivumaf7730137.shtml","中国农业大学团队针对集约化养殖中多目标严重遮挡、光照多变与类别不均问题，引入自适应细节—上下文注意力机制构建模块，并采用边界框相似度软抑制防止误删遮挡目标，预训练光照编码器迁移参数应对光照变化。数据集来自湖羊养殖场全天候监控，含505张标注图像、5类行为。","智慧农业（中英文）2026-10-19","2026-10-19T00:00:00Z",75,{"impact":17,"substance":235,"depth":125,"authority":236,"freshness":63,"relevant":21,"comment":237},21,13,"论文提出面向湖羊行为检测的DC-YOLO模型，方法有新意、数据来自真实养殖场，属智慧养殖细分领域实质进展，值得精选。",[239],{"name":231,"url":229},[241,242,243,244,245],"农业人工智能","智慧养殖","目标检测","湖羊","动物行为检测",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[248],{"code":249,"slug":250,"name":251,"path":252,"parent_code":253},"I2","agricultural-ai","农业AI与大模型","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-ai","I",{"status":39,"locked":14,"version":40,"method":41,"evidence":255},{"candidates":256,"agricultural_evidence":45},[257,261],{"code":32,"score":123,"supported":45,"title":258,"abstract":259,"tags":260},[244],[244],[244],{"code":249,"score":13,"supported":45,"title":262,"abstract":264,"tags":265},[263],"YOLO",[],[241,243],[267,268],"中国农业大学 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基因编辑湖羊新种质创制」项目合作签约仪式。院党委委员、副院长王冉与乾宝牧业董事长王跃程出席。乾宝牧业拥有国内单体规模最大的湖羊核心种群，其培育的乾宝湖羊作为国内唯一肉羊优秀母本入驻海南崖州湾国家实验室。双方将系统开展新种质性能评价，推动实验室成果走向养殖一线，联手打造肉羊生物育种创新样板。","10月16日，我院畜牧研究所与江苏乾宝牧业有限公司举行“MSTN基因编辑湖羊新种质创制”项目合作签约仪式。院党委委员、副院长王冉，乾宝牧业董事长王跃程、总裁蒋柏林出席活动，畜牧所相关负责人，以及双方科研骨干和相关负责人参加签约活动。\n\n王冉表示，种业是农业的“芯片”，畜禽种质创新是种业振兴的重要抓手，基因编辑等生物育种技术是畜禽育种变革的重要方向。期待双方以本次签约为契机，聚焦产业与企业实际需求，聚力破解技术转化落地难题，系统开展新种质性能评价，推动实验室科研成果走向养殖一线，以院企协同创新助力江苏肉羊种业高质量发展。\n\n王跃程介绍，湖羊是我国肉羊养殖的当家母本，也是江苏享誉全国的国宝级地方畜禽种质资源，更是乾宝牧业的核心资产。乾宝牧业深耕湖羊育种十余年，先后获评国家肉羊核心育种场、国家种业阵型企业、农业产业化国家重点龙头企业等，已成为国内湖羊产业领军企业，拥有国内单体规模最大的湖羊核心种群，种质资源领先行业一至两个代次，其培育的乾宝湖羊作为国内唯一肉羊优秀母本入驻海南崖州湾国家实验室。本次联合开展MSTN基因编辑湖羊创制，有望突破传统育种技术瓶颈，加速培育具有自主知识产权的突破性湖羊新种质。\n\n签约现场，相关科研人员汇报了“MSTN基因编辑湖羊新种质创制”项目实施方案，详细阐述种质群体创建流程与技术路线，厘清了双方任务分工与关键时间节点。双方还围绕生物安全管理规范、主体责任落实、后续项目申报等事项开展深入交流，进一步统一实施思路，细化落地推进举措。\n\n本次签约，标志着院企双方在动物生物育种领域的产学研协同攻关正式启动。下一步，双方将严格按照合作方案稳步推进各项工作，充分发挥畜牧所技术研发优势与乾宝牧业产业落地优势，加快基因编辑湖羊新种质创制步伐，打造肉羊生物育种创新样板，共同携手为我国湖羊种业升级、肉羊产业高质量发展提供科技支撑。","江苏省农业科学院 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