[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-926":3,"related-926":57},{"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":22,"tags":24,"primary_topic":31,"secondary_topics":37,"classification":38,"search_phrases":51,"slug":54,"view_count":55,"doi":8,"paper":8,"created_at":56},926,"中国农科院资划所：钴胺素合成路径进化时间首次揭示 钴胺素合成能力起源于约24.58亿年前","https:\u002F\u002Fcaas.cn\u002Fxwzx\u002Fkyhd\u002Fe4753df6b59940df8a14352e165951b0.htm","中国农业科学院农业资源与农业区划研究所植物营养创新团队首次构建微生物钴胺素合成基因与物种的时间图谱，相关成果发表于《美国科学院院刊PNAS》。研究发现钴胺素合成通路逐步演化，部分前体合成路径早于完整合成者；无氧合成者最早出现于约24.58亿年前，好氧合成者则出现于约17.84亿年前，显著晚于地球大气氧气浓度大幅升高的重大事件，体现生物进化与地球环境演变的紧密关联。研究得到北方干旱半干旱耕地高效利用全国重点实验室、国家自然科学基金、国家重点研发计划等项目支持。",null,"近日，中国农业科学院农业资源与农业区划研究所植物营养创新团队首次构建了微生物钴胺素合成基因与物种的时间图谱，相关成果发表于《美国科学院院刊（PNAS）》。\n\n钴胺素仅能由部分细菌和古菌合成，是大多数动物和微生物必需的微量物质，在生态系统和生命演化中发挥了基础性作用，但其合成能力的进化历史长期缺乏系统研究。\n\n研究发现，钴胺素合成通路逐步演化，部分前体合成路径早于完整合成者，说明类钴胺素化合物在完整途径出现前便已存在。无氧合成者最早出现于约24.58亿年前，好氧合成者则出现于约17.84亿年前，显著晚于地球大气氧气浓度大幅升高的重大事件，体现了生物进化与地球环境演变的紧密关联。研究结果为理解钴胺素在全球生态系统演化中的角色提供了时间标尺，揭示了微生物代谢与地球环境演变的相互作用，为探索物种间营养互作与生物进化提供了重要科学依据。\n\n该研究得到北方干旱半干旱耕地高效利用全国重点实验室、国家自然科学基金、国家重点研发计划等项目支持。","中国农科院资划所 2026-08-24","2026-08-24T00:00:00Z","报道",10,true,93,{"impact":17,"substance":17,"depth":18,"authority":19,"freshness":13,"relevant":20,"comment":21},25,18,15,1,"国家级科研机构重大突破，首次揭示钴胺素合成进化时间，对农业微生物与生态研究有重要价值。",[23],{"name":10,"url":6},[25,26,27,28,29,30],"中国农科院","资划所","钴胺素","进化时间","PNAS","微生物",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},"H7","climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate","H",[],{"status":39,"locked":40,"version":41,"method":42,"evidence":43},"classified",false,"2026-10-22.2","rules",{"candidates":44,"agricultural_evidence":14},[45],{"code":32,"score":46,"supported":14,"title":47,"abstract":48,"tags":50},3,[],[49],"干旱",[],[52,53],"中国农科院 进化时间 微生物 资划所","中国农科院 进化时间","中国农科院进化时间微生物资划所-926",5,"2026-08-25T00:03:28.070578Z",{"total":58,"page":20,"page_size":58,"items":59},6,[60,100,180,266,330,439],{"id":61,"title":62,"url":63,"summary":64,"summary_zh":8,"content":8,"source_name":65,"source_url":8,"published_at":66,"category":12,"cover_url":8,"hotness":13,"is_selected":40,"score":67,"score_detail":68,"sources":73,"tags":75,"primary_topic":79,"secondary_topics":80,"classification":81,"search_phrases":95,"slug":98,"view_count":46,"doi":8,"paper":8,"created_at":99},553,"未来一周高风险预警:郑大玮、刘恩科建议构建'气候韧性农业'防灾减灾长效机制","https:\u002F\u002Fszb.farmer.com.cn\u002Fnmrb\u002Fhtml\u002F2026\u002F20260814\u002F20260814_6\u002Fnmrb_20260814_13377_6_2088017400364634200.html","中国农业大学郑大玮教授、中国农科院刘恩科研究员联合撰文指出,从 2026 年秋粮看,核心风险集中在台风叠加局地洪涝。文章建议我国应以'气候韧性农业'为核心,从科技支撑、基础设施、智能防控、政策金融保障、推广服务五大体系入手,从结构避灾、生物抗灾、工程防灾、技术减灾、制度救灾五维度统筹建设,健全农业防灾减灾救灾长效机制。","农民日报国际农业版 2026-08-14","2026-08-14T00:00:00Z",86,{"impact":17,"substance":69,"depth":18,"authority":70,"freshness":71,"relevant":20,"comment":72},22,12,9,"专家建议构建气候韧性农业长效机制，涉及全国性防灾减灾体系，具有较高政策参考价值。",[74],{"name":65,"url":63},[25,76,77,78],"防灾减灾","秋粮生产","气候韧性农业",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":40,"version":41,"method":42,"evidence":82},{"candidates":83,"agricultural_evidence":14},[84,90],{"code":32,"score":85,"supported":14,"title":86,"abstract":87,"tags":89},16,[76],[76,88],"洪涝",[78,76],{"code":91,"score":20,"supported":40,"title":92,"abstract":93,"tags":94},"J4",[],[],[77],[96,97],"气候韧性农业 中国农科院 秋粮生产 防灾减灾","气候韧性农业 中国农科院","气候韧性农业中国农科院秋粮生产防灾减灾-553","2026-08-15T23:54:30.720831Z",{"id":101,"title":102,"url":103,"summary":104,"summary_zh":8,"content":105,"source_name":106,"source_url":8,"published_at":107,"category":12,"cover_url":8,"hotness":13,"is_selected":40,"score":108,"score_detail":109,"sources":114,"tags":116,"primary_topic":120,"secondary_topics":126,"classification":134,"search_phrases":175,"slug":178,"view_count":46,"doi":8,"paper":8,"created_at":179},435,"三节点采样方案实现滴灌棉田温室气体精准采集——中国农科院西部中心与棉花所建立干旱区棉田碳监测技术体系","https:\u002F\u002Fcaas.cn\u002Fxwzx\u002Fkyhd\u002F7ef7293fed924affbc040b406faa3a4e.htm","中国农业科学院西部农业研究中心联合棉花研究所揭示了干旱区滴灌棉田温室气体排放变化规律,建立了三节点滴灌棉田温室气体精准采集技术体系。膜下滴灌水肥一体化技术为新疆棉花高产稳产提供了重要技术支撑,但灌溉施肥过程会引起土壤温室气体排放快速波动,传统采样方式难以实现农田温室气体的精准监测。研究发现,灌溉施肥后第1天是温室气体排放峰值形成的关键时期,据此提出了'灌溉前1天—灌溉后1天—灌溉后5天'三节点精准采样方案,相关研究成果发表在《农业水管理》(Agricultural Water Management)上。","近日，中国农业科学院西部农业研究中心联合棉花研究所揭示了干旱区滴灌棉田温室气体排放变化规律，建立了三节点滴灌棉田温室气体精准采集技术体系。相关研究成果发表在《农业水管理（Agricultural Water Management）》上。\n\n膜下滴灌水肥一体化技术为新疆棉花高产稳产提供了重要技术支撑，但灌溉施肥过程会引起土壤温室气体排放快速波动，传统采样方式难以实现农田温室气体的精准监测。\n\n该研究发现，灌溉施肥后第1天是温室气体排放峰值形成的关键时期，据此提出了“灌溉前1天—灌溉后1天—灌溉后5天”三节点精准采样方案。该方案能够在减少采样工作量的同时，保留温室气体排放关键动态信息，保持较高的排放估算精度。研究构建的关键时期识别—精准采样优化—排放精准估算技术体系，为干旱区滴灌棉田温室气体监测提供了科学方案。","中国农业科学院 2026-08-08","2026-08-08T00:00:00Z",78,{"impact":110,"substance":69,"depth":18,"authority":111,"freshness":112,"relevant":20,"comment":113},20,14,4,"国家级科研机构发布滴灌棉田温室气体监测技术体系，方法新颖、数据详实，对农业碳减排有实质贡献，但发布已过4天，时效性稍弱。",[115],{"name":106,"url":103},[25,117,118,119],"棉花","温室气体","西部农业",{"code":121,"slug":122,"name":123,"path":124,"parent_code":125},"A6","cash-crops","棉麻糖与特色经作","\u002Ftopic\u002Ffield-crops\u002Fcash-crops","A",[127,133],{"code":128,"slug":129,"name":130,"path":131,"parent_code":132},"B7","protected-horticulture","设施园艺与植物工厂","\u002Ftopic\u002Fhorticulture\u002Fprotected-horticulture","B",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},{"status":39,"locked":40,"version":41,"method":42,"evidence":135},{"candidates":136,"agricultural_evidence":14},[137,141,147,151,158,164,170],{"code":121,"score":70,"supported":14,"title":138,"abstract":139,"tags":140},[117],[117],[117],{"code":128,"score":142,"supported":14,"title":143,"abstract":145,"tags":146},11,[144],"温室",[144],[],{"code":32,"score":142,"supported":14,"title":148,"abstract":149,"tags":150},[49],[49],[],{"code":152,"score":58,"supported":14,"title":153,"abstract":154,"tags":157},"F3",[],[155,156],"施肥","水肥一体化",[],{"code":159,"score":46,"supported":14,"title":160,"abstract":161,"tags":163},"H2",[],[162],"土壤",[],{"code":165,"score":46,"supported":14,"title":166,"abstract":167,"tags":169},"H3",[],[168],"灌溉",[],{"code":171,"score":20,"supported":40,"title":172,"abstract":173,"tags":174},"H4",[],[],[118],[176,177],"中国农科院 温室气体 西部农业 棉花","中国农科院 温室气体","中国农科院温室气体西部农业棉花-435","2026-08-12T23:57:22.438495Z",{"id":181,"title":182,"url":183,"summary":184,"summary_zh":185,"content":8,"source_name":186,"source_url":183,"published_at":187,"category":188,"cover_url":8,"hotness":13,"is_selected":14,"score":189,"score_detail":190,"sources":194,"tags":196,"primary_topic":202,"secondary_topics":207,"classification":209,"search_phrases":243,"slug":246,"view_count":247,"doi":248,"paper":249,"created_at":265},5569,"A four-decadal (1981–2024) quality-assured ground-based soybean phenology dataset from Northeast China: a FAIR-compliant resource for climate impact and agricultural adaptation studies","https:\u002F\u002Fdoi.org\u002F10.1080\u002F20964471.2026.2735138","Although satellite remote sensing has been widely used to monitor land surface phenology, long-term, high-quality ground-based observations are essential for validating and calibrating these products, particularly for understanding agricultural ecosystem responses to climate change. However, such ground-truth datasets remain scarce, limiting the full potential of Earth system data applications. Here we present a comprehensive ground-based soybean phenology dataset for Northeast China, a region critical to national food security. The dataset integrates historical paper-based logs (1980s–1990s) with modern electronic records (2000s onwards) from 43 national agrometeorological stations operated by the China Meteorological Administration (CMA), spanning a 15° latitudinal gradient (38–53°N) across Heilongjiang, Jilin, and Liaoning provinces over 44 years (1981–2024). It provides the timing (day of year, DOY) of eight key phenophases (sowing, emergence, three-leaf, branching, flowering, pod formation, seed filling, maturity) and the durations of six intervening growth intervals. A multi-tiered quality assurance framework combining automated consistency checks, statistical outlier detection, and expert arbitration against agronomic principles and auxiliary climate data ensures high data integrity and completeness (>99%; paper era: 93.8%; electronic era: 98.1%). To facilitate reuse, we provide pre-computed kernel density estimates (probability distributions) and univariate linear regression trends for each station and phenological variable, along with 656 diagnostic plots. The dataset is openly available in the Science Data Bank under a CC BY 4.0 license as primary data tables (XLSX) and diagnostic plots (JPEG, 1200 dpi) (https:\u002F\u002Fdoi.org\u002F10.57760\u002Fsciencedb.37245). As a long-term, spatially explicit, FAIR-compliant ground-truth resource, this dataset is valuable for validating satellite-derived phenology products, calibrating crop modules, and investigating climate-driven impacts on agricultural systems.","尽管卫星遥感已被广泛用于监测地表物候，但长期、高质量的地面观测对于验证和校准这些产品至关重要，尤其是对于理解农业生态系统对气候变化的响应而言。然而，此类地面真值数据集仍然稀缺，限制了地球系统数据应用潜力的充分发挥。本文介绍了一套面向中国东北地区的综合性大豆物候地面数据集，该地区对国家粮食安全至关重要。该数据集整合了中国气象局（CMA）运营的43个国家农业气象站的历史纸质记录（20世纪80—90年代）与现代电子记录（2000年代至今），覆盖黑龙江、吉林和辽宁三省跨越15°纬度梯度（38—53°N）、时间跨度44年（1981—2024年）。数据集提供了8个关键物候期（播种、出苗、三叶、分枝、开花、结荚、鼓粒、成熟）的发生时间（年积日，DOY）以及6个中间生长间隔的持续时间。一套多层质量保证框架结合了自动一致性检查、统计异常值检测以及依据农学原理和辅助气候数据进行的专家仲裁，确保了高数据完整性和完整性（>99%；纸质时代：93.8%；电子时代：98.1%）。为便于重复使用，我们提供了每个站点和物候变量的预计算核密度估计（概率分布）和单变量线性回归趋势，以及656幅诊断图。该数据集以CC BY 4.0许可在Science Data Bank公开提供，包括主数据表（XLSX）和诊断图（JPEG，1200 dpi）（https:\u002F\u002Fdoi.org\u002F10.57760\u002Fsciencedb.37245）。作为一个长期、空间明确、符合FAIR原则的地面真值资源，该数据集对于验证卫星反演的物候产品、校准作物模块以及研究气候驱动对农业系统的影响具有重要价值。","Big Earth Data","2026-10-21T00:00:00Z","论文",89,{"impact":69,"substance":191,"depth":192,"authority":111,"freshness":13,"relevant":20,"comment":193},24,19,"覆盖东北44年、43站的大豆物候地面观测数据集，质控严格且FAIR开放，对遥感验证与气候影响研究有实质价值，值得入选。",[195],{"name":186,"url":183},[197,198,199,200,201],"大豆","气候变化","东北农业","物候数据","遥感验证",{"code":203,"slug":204,"name":205,"path":206,"parent_code":125},"A4","soybean-oilseeds","大豆与油料","\u002Ftopic\u002Ffield-crops\u002Fsoybean-oilseeds",[208],{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},{"status":39,"locked":40,"version":41,"method":42,"evidence":210},{"candidates":211,"agricultural_evidence":14},[212,217,223,230,237],{"code":203,"score":19,"supported":14,"title":213,"abstract":215,"tags":216},[214],"soybean",[197,214],[197],{"code":32,"score":13,"supported":14,"title":218,"abstract":219,"tags":222},[],[198,220,221],"农业气象","climate change",[198],{"code":224,"score":58,"supported":14,"title":225,"abstract":226,"tags":229},"A8",[],[227,228],"粮食安全","food security",[],{"code":231,"score":58,"supported":14,"title":232,"abstract":233,"tags":236},"I3",[],[234,235],"遥感","remote sensing",[],{"code":238,"score":46,"supported":14,"title":239,"abstract":240,"tags":242},"H6",[],[241],"农业生态",[],[244,245],"东北 大豆 物候 数据集","大豆 物候 遥感 验证","东北大豆物候数据集-5569",0,"10.1080\u002F20964471.2026.2735138",{"doi":248,"openalex_id":250,"authors":251,"venue":186,"cited_by_count":247,"oa_url":183,"card":258,"direction":262,"ingested_from":264},"W7223091615",[252,255],{"name":253,"orcid":254},"Quanjun Zhang","https:\u002F\u002Forcid.org\u002F0000-0001-6087-3928",{"name":256,"orcid":257},"Dongli Wu","https:\u002F\u002Forcid.org\u002F0000-0003-1676-2264",{"tldr":259,"method":260,"finding":261,"direction":262,"opportunity":263},"发布东北大豆1981–2024年44年地面物候数据集，含8个物候期与6个间隔期。","整合43个农气站纸质与电子记录，经自动校验、统计离群检测和专家仲裁质控。","数据完整度超99%，并提供核密度分布、线性趋势与656张诊断图。","农业遥感与作物表型","可基于该地面真值校准遥感物候产品与作物模型，量化气候变化对大豆物候的影响。","openalex","2026-10-22T11:20:39.146445Z",{"id":267,"title":268,"url":269,"summary":270,"summary_zh":8,"content":8,"source_name":271,"source_url":8,"published_at":187,"category":188,"cover_url":8,"hotness":13,"is_selected":40,"score":272,"score_detail":273,"sources":275,"tags":277,"primary_topic":283,"secondary_topics":288,"classification":295,"search_phrases":317,"slug":320,"view_count":20,"doi":8,"paper":321,"created_at":329},5535,"基于无人机多光谱图像与VGG21模型的小麦渍害调控效果识别","https:\u002F\u002Ffinance.sina.cn\u002F2026-10-16\u002Fdetail-inivmprm8363597.d.html","江苏省农科院农业信息研究所联合中国农科院环发所与湖北省农科院粮作所，在小麦拔节至抽穗、抽穗至灌浆两个阶段设置对照、渍水胁迫、硅肥与氨基酸调控试验，用大疆精灵4采集冠层多光谱影像。VGG21模型对硅肥调控识别正确率超91%，精度96.42%、召回率89.53%。","智慧农业（中英文）2026-10-21",82,{"impact":18,"substance":69,"depth":18,"authority":111,"freshness":13,"relevant":20,"comment":274},"省级科研机构联合攻关，方法新颖、数据扎实，对渍害遥感识别与调控评估有实质参考价值，值得入选。",[276],{"name":271,"url":269},[278,279,280,281,282],"智慧农业","农业遥感","作物表型","无人机多光谱","小麦渍害",{"code":284,"slug":285,"name":286,"path":287,"parent_code":125},"A2","wheat","小麦","\u002Ftopic\u002Ffield-crops\u002Fwheat",[289,294],{"code":231,"slug":290,"name":291,"path":292,"parent_code":293},"remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing","I",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},{"status":39,"locked":40,"version":41,"method":42,"evidence":296},{"candidates":297,"agricultural_evidence":14},[298,302,306,312],{"code":284,"score":142,"supported":14,"title":299,"abstract":300,"tags":301},[286],[286],[],{"code":231,"score":142,"supported":14,"title":303,"abstract":304,"tags":305},[281],[],[280,279,281],{"code":32,"score":307,"supported":14,"title":308,"abstract":310,"tags":311},8,[309],"渍害",[],[],{"code":313,"score":20,"supported":40,"title":314,"abstract":315,"tags":316},"I1",[],[],[278],[318,319],"江苏省农科院 小麦渍害 多光谱","VGG21 小麦 硅肥调控","江苏省农科院小麦渍害多光谱-5535",{"doi":8,"openalex_id":8,"authors":322,"venue":8,"cited_by_count":247,"oa_url":8,"card":323,"direction":262,"ingested_from":328},[],{"tldr":324,"method":325,"finding":326,"direction":262,"opportunity":327},"用无人机多光谱图像和VGG21模型识别小麦渍害后硅肥与氨基酸调控效果。","大疆精灵4采集冠层多光谱影像，构建VGG21深度学习分类模型。","VGG21对硅肥调控识别正确率超91%，精度96.42%、召回率89.53%。","可扩展多生育期、多调控组合与轻量化模型，探索渍害胁迫等级与调控效果的同步识别。","agent","2026-10-22T00:07:10.070916Z",{"id":331,"title":332,"url":333,"summary":334,"summary_zh":335,"content":8,"source_name":336,"source_url":333,"published_at":337,"category":188,"cover_url":8,"hotness":13,"is_selected":40,"score":338,"score_detail":339,"sources":342,"tags":344,"primary_topic":349,"secondary_topics":350,"classification":359,"search_phrases":410,"slug":413,"view_count":247,"doi":414,"paper":415,"created_at":438},5483,"Soil Salinity under Climate Change in Pakistan: Emerging Challenges and Sustainable Management Approaches for Agriculture","https:\u002F\u002Fdoi.org\u002F10.71317\u002Fkjard.2.10.2026.883","Soil salinity is a major constraint to agricultural productivity, soil health, and food security in Pakistan, particularly under changing climatic conditions. Rising temperatures, increased evapotranspiration, irregular precipitation, droughts, flooding, and sea-level rise can intensify salt accumulation and alter soil–water interactions. This review examines the emerging challenges associated with climate change and soil salinity in Pakistan, focusing on their impacts on soil properties, crop physiology, agricultural production, and rural livelihoods. It discusses the mechanisms of soil salinity and sodicity, their spatial distribution, and the interactions among climate variability, irrigation practices, groundwater quality, and secondary salinization. Furthermore, sustainable management approaches are evaluated, including gypsum application, organic amendments, integrated nutrient management, efficient irrigation, drainage improvement, and appropriate leaching strategies. Climate-resilient approaches, such as conventional crop breeding, modern biotechnology, halophyte utilization, plant growth-promoting microorganisms, and mycorrhizal associations, are also explored. The review highlights the potential of remote sensing, geographic information systems, precision agriculture, and predictive modelling to support salinity monitoring and site-specific management. Despite these opportunities, important challenges remain, including insufficient long-term monitoring, limited region-specific data, economic constraints, and gaps in farmer awareness and institutional coordination. Addressing these challenges requires integrated research, effective agricultural policies, improved extension services, and collaboration among researchers, policymakers, and farming communities. Prioritizing locally adapted, economically feasible, and environmentally sustainable interventions can strengthen agricultural resilience, restore salt-affected soils, and protect freshwater resources. Overall, integrating climate adaptation with sustainable soil and water management is essential for maintaining agricultural productivity and improving long-term food security in Pakistan.","土壤盐渍化是制约巴基斯坦农业生产力、土壤健康和粮食安全的主要因素，在气候变化条件下尤为突出。气温升高、蒸散加剧、降水不规律、干旱、洪水以及海平面上升可能加剧盐分积累并改变土壤—水相互作用。本文综述了巴基斯坦气候变化与土壤盐渍化相关的新兴挑战，重点关注其对土壤性质、作物生理、农业生产和农村生计的影响。文章讨论了土壤盐渍化和钠质化的机制、其空间分布，以及气候变率、灌溉实践、地下水质量和次生盐渍化之间的相互作用。此外，评估了可持续管理途径，包括施用石膏、有机改良、综合养分管理、高效灌溉、排水改良和适宜的淋洗策略。还探讨了气候韧性方法，如常规作物育种、现代生物技术、盐生植物利用、植物促生微生物和菌根共生。本文强调了遥感、地理信息系统、精准农业和预测建模在支持盐渍化监测和因地制宜管理方面的潜力。尽管存在这些机遇，重要挑战依然存在，包括长期监测不足、区域特定数据有限、经济制约以及农民意识和制度协调方面的差距。应对这些挑战需要综合研究、有效的农业政策、改进的推广服务以及研究人员、政策制定者和农业社区之间的协作。优先采取适应当地、经济可行且环境可持续的干预措施，可增强农业韧性、修复盐渍化土壤并保护淡水资源。总体而言，将气候适应与可持续水土管理相结合，对于维持巴基斯坦农业生产力和改善长期粮食安全至关重要。","Kashmir Journal of Academic Research and Development","2026-10-20T00:00:00Z",66,{"impact":340,"substance":18,"depth":19,"authority":70,"freshness":307,"relevant":20,"comment":341},13,"综述性论文，系统梳理气候变化下巴基斯坦土壤盐渍化成因与可持续治理路径，兼具遥感与精准农业视角，对盐碱地治理议题有参考价值，但属区域性综述、非突破性成果。",[343],{"name":336,"url":333},[198,345,346,347,348],"盐碱地治理","遥感监测","智慧灌溉","土壤盐渍化",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[351,355],{"code":159,"slug":352,"name":353,"path":354,"parent_code":36},"soil","土壤健康与改良","\u002Ftopic\u002Fenvironment\u002Fsoil",{"code":165,"slug":356,"name":357,"path":358,"parent_code":36},"irrigation","水资源与灌溉","\u002Ftopic\u002Fenvironment\u002Firrigation",{"status":39,"locked":40,"version":41,"method":42,"evidence":360},{"candidates":361,"agricultural_evidence":14},[362,367,371,377,382,386,392,399,404],{"code":32,"score":18,"supported":14,"title":363,"abstract":364,"tags":366},[221],[198,365,49,221],"气候适应",[198],{"code":159,"score":19,"supported":14,"title":368,"abstract":369,"tags":370},[352],[162,352],[345],{"code":165,"score":13,"supported":14,"title":372,"abstract":373,"tags":376},[],[168,374,356,375],"水资源","evapotranspiration",[347],{"code":231,"score":378,"supported":14,"title":379,"abstract":380,"tags":381},7,[],[234,235],[346],{"code":224,"score":58,"supported":14,"title":383,"abstract":384,"tags":385},[],[227,228],[],{"code":313,"score":58,"supported":14,"title":387,"abstract":388,"tags":391},[],[389,390],"精准农业","precision agriculture",[],{"code":393,"score":58,"supported":14,"title":394,"abstract":395,"tags":398},"I4",[],[396,397],"地理信息","geographic information",[],{"code":152,"score":46,"supported":14,"title":400,"abstract":401,"tags":403},[],[402],"养分管理",[],{"code":405,"score":46,"supported":14,"title":406,"abstract":407,"tags":409},"J1",[],[408],"农业政策",[],[411,412],"巴基斯坦 土壤盐渍化","盐碱地 遥感监测","巴基斯坦土壤盐渍化-5483","10.71317\u002Fkjard.2.10.2026.883",{"doi":414,"openalex_id":416,"authors":417,"venue":336,"cited_by_count":247,"oa_url":333,"card":433,"direction":262,"ingested_from":264},"W7222999158",[418,420,422,424,426,428,431],{"name":419,"orcid":8},"Asifa Naz",{"name":421,"orcid":8},"Muhammad Abu Baker Siddiq",{"name":423,"orcid":8},"Syed Asghar Hussain Shah",{"name":425,"orcid":8},"Shahrish Nawaz",{"name":427,"orcid":8},"Muhmmad Irfan",{"name":429,"orcid":430},"Rizwana Kausar","https:\u002F\u002Forcid.org\u002F0000-0002-1339-3312",{"name":432,"orcid":8},"Muhammad Nouman Khalid",{"tldr":434,"method":435,"finding":436,"direction":262,"opportunity":437},"综述气候变化下巴基斯坦土壤盐渍化的挑战与可持续管理途径。","文献综述，整合盐渍化机制、空间分布及遥感GIS与预测模型应用。","需将气候适应与水土管理结合，优先本地化、经济可行的干预措施。","可填补长期盐渍化监测与区域数据空白，发展遥感+预测模型的精准分区治理。","2026-10-21T23:30:23.059448Z",{"id":440,"title":441,"url":442,"summary":443,"summary_zh":444,"content":8,"source_name":445,"source_url":442,"published_at":337,"category":188,"cover_url":8,"hotness":13,"is_selected":40,"score":446,"score_detail":447,"sources":449,"tags":451,"primary_topic":456,"secondary_topics":460,"classification":468,"search_phrases":510,"slug":513,"view_count":247,"doi":514,"paper":515,"created_at":533},5478,"Characterisation of Food Security Situation for Smallholder Farmers in Zvimba","https:\u002F\u002Fdoi.org\u002F10.71458\u002Frx0qpm30","This study provides a comprehensive analysis of the food security situation among smallholder farmers (SHFs) in Zvimba District, Zimbabwe. Smallholder agriculture is the bedrock of Zimbabwe's food system, yet it remains highly vulnerable to a complex array of shocks and stressors. Using a mixed-methods approach, this research investigates the prevalence, drivers and lived experiences of food insecurity within this community. A structured survey was administered to 412 randomly selected smallholder households across the district's wards. The quantitative data were supplemented by 12 Focus Group Discussions (FGDs) and 24 Key Informant Interviews (KIIs) with farmers, community leaders and agricultural extension officers to capture qualitative nuances. The study is grounded in the Food Security Theory (FST), which conceptualises food security through its four pillars: food availability, food access, food utilisation and food stability. Findings reveal a precarious food security situation. Quantitatively, 78.4% of households were found to be food insecure, with an average Hunger Months Index of 4.7 months per year. The study identifies a significant disconnect between maize production, the national staple and household consumption, with over 65% of households failing to produce enough maize to meet their annual requirements. Qualitative data illuminated the multi-faceted drivers of this insecurity. Key points to note include climate change whereby erratic rainfall and prolonged mid-season dry spells were consistently reported as the primary production challenges, limited access to farming inputs whereby high costs and unreliable supplies of certified seeds, fertilizers and agro[1]chemicals constrain productivity. Morelso, socio-economic factors such as poverty, lack of viable alternative livelihoods and limited access to formal credit perpetuate a cycle of vulnerability. In addition, institutional weaknesses, for example, challenges with agricultural extension services and market inefficiencies, exacerbate the situation. The study concludes that food insecurity in Zvimba is not merely a problem of food production, but is deeply rooted in structural issues affecting food access, food utilisation, as well as food stability. Recommendations are proposed for a multi-sectoral approach, including promoting Climate-Smart Agriculture (CSA) and drought-resistant crops, strengthening input support systems and rural finance, diversifying livelihood strategies and enhancing the capacity of extension services. This research contributes to a deeper understanding of the localised dynamics of food security and provides evidence-based guidance for policymakers, development practitioners and the farmers of Zvimba themselves.","本研究对津巴布韦兹维姆巴区小农户（smallholder farmers, SHFs）的粮食安全状况进行了全面分析。小农农业是津巴布韦粮食体系的基石，但仍极易受到一系列复杂冲击和压力的影响。本研究采用混合方法，考察了该社区粮食不安全的普遍程度、驱动因素及生活体验。研究对该区各选区随机抽取的412户小农户进行了结构化问卷调查。定量数据辅以12次焦点小组讨论（FGDs）和24次关键知情人访谈（KIIs），访谈对象包括农民、社区领袖和农业推广人员，以捕捉定性层面的细微差异。本研究以粮食安全理论（Food Security Theory, FST）为基础，该理论通过四大支柱界定粮食安全：粮食可供性、粮食获取、粮食利用和粮食稳定性。研究结果揭示了严峻的粮食安全形势。定量数据显示，78.4%的家庭存在粮食不安全，年均饥饿月份指数为4.7个月。研究发现，玉米产量——该国主粮——与家庭消费之间存在显著脱节，超过65%的家庭生产的玉米不足以满足其年度需求。定性数据揭示了这一不安全状况的多重驱动因素。值得注意的要点包括：气候变化，即降雨不稳定和持续的中期干旱被一致报告为主要生产挑战；农业投入品获取受限，即认证种子、化肥和农用化学品成本高昂且供应不可靠，制约了生产力。此外，贫困、缺乏可行的替代生计以及正规信贷获取受限等社会经济因素使脆弱性循环持续存在。此外，制度薄弱环节，例如农业推广服务面临的挑战和市场效率低下，加剧了这一状况。研究得出结论，兹维姆巴的粮食不安全不仅仅是粮食生产问题，而是深深植根于影响粮食获取、粮食利用以及粮食稳定性的结构性问题。研究提出了采取多部门方法的建议，包括推广气候智能型农业（Climate-Smart Agriculture, CSA）和抗旱作物、加强投入品支持体系和农村金融、多样化生计策略以及增强","Ngenani The Zimbabwe Ezekiel Guti Journal of Community Engagement and Societal Transformations",55,{"impact":307,"substance":18,"depth":19,"authority":58,"freshness":307,"relevant":20,"comment":448},"基于412户调查与混合方法的扎实实证研究，但属津巴布韦地方性案例，公共影响与信源权威度有限，可作参考而非每日精选。",[450],{"name":445,"url":442},[227,452,453,454,455],"小农户","气候智慧农业","农业推广","津巴布韦",{"code":224,"slug":457,"name":458,"path":459,"parent_code":125},"yield-food-security","单产提升与粮食安全","\u002Ftopic\u002Ffield-crops\u002Fyield-food-security",[461,467],{"code":462,"slug":463,"name":464,"path":465,"parent_code":466},"G2","farm-services","社会化服务与规模经营","\u002Ftopic\u002Frural-services\u002Ffarm-services","G",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},{"status":39,"locked":40,"version":41,"method":42,"evidence":469},{"candidates":470,"agricultural_evidence":14},[471,475,480,485,491,498,505],{"code":224,"score":19,"supported":14,"title":472,"abstract":473,"tags":474},[228],[227,228],[227],{"code":462,"score":19,"supported":14,"title":476,"abstract":478,"tags":479},[477],"smallholder",[452,477],[452],{"code":32,"score":13,"supported":14,"title":481,"abstract":482,"tags":484},[],[198,49,221,483],"drought",[453],{"code":486,"score":378,"supported":14,"title":487,"abstract":488,"tags":490},"G1",[],[454,489],"agricultural extension",[454],{"code":492,"score":58,"supported":14,"title":493,"abstract":494,"tags":497},"A3",[],[495,496],"玉米","maize",[],{"code":499,"score":58,"supported":14,"title":500,"abstract":501,"tags":504},"G3",[],[502,503],"农村金融","rural finance",[],{"code":313,"score":46,"supported":14,"title":506,"abstract":507,"tags":509},[],[508],"smart agriculture",[],[511,512],"Zvimba 小农户 粮食安全","津巴布韦 小农 玉米","Zvimba小农户粮食安全-5478","10.71458\u002Frx0qpm30",{"doi":514,"openalex_id":516,"authors":517,"venue":445,"cited_by_count":247,"oa_url":8,"card":526,"direction":532,"ingested_from":264},"W7223029383",[518,521,524],{"name":519,"orcid":520},"Casper Myambo","https:\u002F\u002Forcid.org\u002F0009-0007-8625-7526",{"name":522,"orcid":523},"Chipo Plaxedes Mubaya","https:\u002F\u002Forcid.org\u002F0000-0002-4123-0238",{"name":525,"orcid":8},"Patience Mutopo",{"tldr":527,"method":528,"finding":529,"direction":530,"opportunity":531},"调查津巴布韦Zvimba小农户粮食安全状况，分析其普遍性、成因与实际体验。","混合方法：412户问卷、12场焦点小组、24个关键人物访谈，基于粮食安全四支柱理","78.4%家庭粮食不安全，年均饥饿月4.7个月，主因是气候、投入、社会经济与制度等结构性问题。","数字乡村与农业信息化","可探索用移动端问卷与遥感产量监测构建小农户粮食安全动态预警与精准干预系统。","智慧农业 \u002F 农业物联网","2026-10-21T23:30:08.937079Z"]