[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-1228":3,"related-1228":97},{"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":29,"secondary_topics":35,"classification":36,"search_phrases":66,"slug":69,"view_count":20,"doi":70,"paper":71,"created_at":96},1228,"Spatial heterogeneity of profitability among indigenous fruit and vegetable farmers in West Africa","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1845331","Introduction The profitability of indigenous fruit and vegetable (IFV) farmers in West Africa is critical for food security, yet standard analyses often assume that the socioeconomic determinants of profitability operate uniformly across space. Methods This study tests that assumption using a Geographically Weighted Logistic Regression (GWLR) applied to survey data from 1,460 IFV farmers across nine West African countries. A global logistic regression identified gender, education, age, and extension visit as significant predictors of profitability, but significant residual spatial autocorrelation in its errors (Moran's I = 0.449, p \u003C 0.001) indicated that this single pooled estimate masks substantial geographic variation. Results and discussion The GWLR confirmed profound spatial non-stationarity: no predictor was statistically significant at more than 27.3% of farmer locations, and several variables that were non-significant in the global model, including marital status, household size, farmer-based organization (FBO) membership, and IFV training, showed meaningful local effects in specific areas. Education displayed the most geographically extensive positive association with profitability of any predictor, while the direction and strength of the gender and extension-visit effects varied considerably across locations, including reversals of the global relationship in parts of the study area. The GWLR also substantially outperformed the global model in predictive validation (in-sample AUC = 0.914 vs. a 5-fold cross-validated AUC of 0.582 for the global model); because the GWLR figure is in-sample while the global figure is cross-validated, this comparison likely overstates the GWLR's true out-of-sample advantage, and should be read as suggestive rather than a like-for-like performance gain. These findings indicate that agricultural interventions for West Africa's IFV sector should be spatially targeted at a sub-national level rather than applied uniformly, and that decision-support tools should incorporate local socioeconomic and institutional context rather than relying on national or regional averages.",null,"Frontiers in Sustainable Food Systems","2026-08-27T00:00:00Z","论文",10,false,64,{"impact":16,"substance":17,"depth":18,"authority":16,"freshness":19,"relevant":20,"comment":21},12,20,18,2,1,"研究揭示西非果蔬农户盈利性空间异质性，为精准农业干预提供依据，但时效性较低。",[23],{"name":9,"url":6},[25,26,27,28],"农业经济","小农户","西非","空间分析",{"code":30,"slug":31,"name":32,"path":33,"parent_code":34},"B1","vegetables","蔬菜","\u002Ftopic\u002Fhorticulture\u002Fvegetables","B",[],{"status":37,"locked":13,"version":38,"method":39,"evidence":40},"classified","2026-10-22.2","rules",{"candidates":41,"agricultural_evidence":44},[42,49,56,61],{"code":30,"score":43,"supported":44,"title":45,"abstract":47,"tags":48},11,true,[46],"vegetable",[46],[],{"code":50,"score":51,"supported":44,"title":52,"abstract":53,"tags":55},"A8",3,[],[54],"food security",[],{"code":57,"score":20,"supported":13,"title":58,"abstract":59,"tags":60},"G2",[],[],[26],{"code":62,"score":20,"supported":13,"title":63,"abstract":64,"tags":65},"I4",[],[],[28],[67,68],"农业经济 空间分析 小农户 西非","农业经济 空间分析","农业经济空间分析小农户西非-1228","10.3389\u002Ffsufs.2026.1845331",{"doi":70,"openalex_id":72,"authors":73,"venue":9,"cited_by_count":87,"oa_url":88,"card":89,"direction":93,"ingested_from":95},"W7204435343",[74,77,79,81,84],{"name":75,"orcid":76},"Jacqueline Naalamle Amissah","https:\u002F\u002Forcid.org\u002F0000-0003-4520-4958",{"name":78,"orcid":8},"Freda Elikplim Asem",{"name":80,"orcid":8},"Dorcas T. Gyan",{"name":82,"orcid":83},"Jude Dokbila Kolog","https:\u002F\u002Forcid.org\u002F0000-0001-8225-6090",{"name":85,"orcid":86},"Louis Sitsofe Hodey","https:\u002F\u002Forcid.org\u002F0000-0001-5110-0341",0,"https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1845331\u002Fpdf",{"tldr":90,"method":91,"finding":92,"direction":93,"opportunity":94},"研究西非本土果蔬农户盈利能力的空间异质性，发现社会经济因素影响随地点变化。","使用地理加权逻辑回归（GWLR）分析9国1460户调查数据，对比全局模型。","盈利影响因素存在显著空间非平稳性，教育影响最广，性别和推广访问效应方向可变。","农业人工智能与决策模型","可探索将空间异质性纳入农业决策支持系统，开发子国家级精准干预策略，结合本地社会经济背景。","openalex","2026-09-01T04:03:08.704696Z",{"total":98,"page":20,"page_size":98,"items":99},6,[100,195,295,351,406,461],{"id":101,"title":102,"url":103,"summary":104,"summary_zh":105,"content":8,"source_name":106,"source_url":103,"published_at":107,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":108,"score_detail":109,"sources":113,"tags":115,"primary_topic":119,"secondary_topics":120,"classification":132,"search_phrases":175,"slug":178,"view_count":19,"doi":179,"paper":180,"created_at":194},1726,"Building Climate Resilience in Tomato Production: Evidence from Smallholder Farmers in Peri-Urban Zambia","https:\u002F\u002Fdoi.org\u002F10.38124\u002Fijisrt\u002F26aug501","Climate variability poses a growing threat to tomato production among smallholder farmers in sub-Saharan Africa, yet evidence on the effectiveness of farm-level adaptation strategies remains limited. This study assessed the contribution of climate adaptation practices to tomato productivity among 150 smallholder farmers in Lusaka West, Zambia, using a convergent mixed-methods design. Quantitative data were analysed using descriptive statistics and Pearson correlation, while qualitative data were analysed thematically. Most farmers (88%) reported experiencing climate variability, mainly through irregular rainfall, drought, and rising temperatures. Adaptation strategies were widely adopted (86%), with irrigation and improved seed varieties being the most common. About 76% of respondents reported improved tomato yields and 72% reported increased household income following adaptation. A strong positive relationship was observed between adaptation strategies and tomato yields (r = 0.718, p \u003C 0.001), indicating that increased adoption of adaptation practices significantly enhanced production performance. Qualitative findings confirmed that adaptation improved resilience but highlighted financial constraints, limited irrigation infrastructure, and inadequate climate information as major barriers. The study concludes that climate adaptation strategies strengthen the resilience and productivity of smallholder tomato farming systems. Strengthening extension services, expanding access to affordable irrigation technologies, and promoting climate-smart agriculture are essential for enhancing sustainable horticultural production and food security in Zambia.","气候变异性对撒哈拉以南非洲小农户的番茄生产构成日益严重的威胁，然而关于农场层面适应策略有效性的证据仍然有限。本研究采用收敛混合方法设计，评估了气候适应实践对赞比亚卢萨卡西部150名小农户番茄生产力的贡献。定量数据采用描述性统计和皮尔逊相关分析，定性数据则采用主题分析法进行处理。大多数农户（88%）报告经历了气候变异性，主要表现为降雨不规律、干旱和气温上升。适应策略被广泛采用（86%），其中灌溉和改良种子品种最为常见。约76%的受访者报告番茄产量提高，72%的受访者报告适应后家庭收入增加。适应策略与番茄产量之间呈显著正相关关系（r = 0.718，p \u003C 0.001），表明适应实践采用程度的提高显著增强了生产绩效。定性研究结果证实，适应措施增强了韧性，但也凸显了资金约束、灌溉基础设施有限以及气候信息不足等主要障碍。研究得出结论：气候适应策略能够增强小农户番茄种植系统的韧性和生产力。加强推广服务、扩大经济适用灌溉技术的获取渠道以及推广气候智能型农业，对于提升赞比亚可持续园艺生产和粮食安全至关重要。","International Journal of Innovative Science and Research Technology (IJISRT)","2026-09-04T00:00:00Z",56,{"impact":16,"substance":18,"depth":110,"authority":111,"freshness":19,"relevant":20,"comment":112},16,8,"针对赞比亚小农番茄生产的气候适应研究，数据详实，但地域局限且时效性低，作为国际案例有一定参考价值。",[114],{"name":106,"url":103},[116,26,117,118],"智慧农业","气候变化适应","番茄生产",{"code":30,"slug":31,"name":32,"path":33,"parent_code":34},[121,127],{"code":122,"slug":123,"name":124,"path":125,"parent_code":126},"H7","climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate","H",{"code":57,"slug":128,"name":129,"path":130,"parent_code":131},"farm-services","社会化服务与规模经营","\u002Ftopic\u002Frural-services\u002Ffarm-services","G",{"status":37,"locked":13,"version":38,"method":39,"evidence":133},{"candidates":134,"agricultural_evidence":44},[135,143,149,156,161,168],{"code":122,"score":18,"supported":44,"title":136,"abstract":138,"tags":142},[137],"climate resilience",[139,140,141],"气候适应","干旱","drought",[117],{"code":57,"score":144,"supported":44,"title":145,"abstract":147,"tags":148},15,[146],"smallholder",[26,146],[26],{"code":30,"score":150,"supported":44,"title":151,"abstract":153,"tags":155},14,[152],"tomato",[154,152],"番茄",[],{"code":50,"score":98,"supported":44,"title":157,"abstract":158,"tags":160},[],[159,54],"粮食安全",[],{"code":162,"score":98,"supported":44,"title":163,"abstract":164,"tags":167},"H3",[],[165,166],"灌溉","irrigation",[],{"code":169,"score":170,"supported":44,"title":171,"abstract":172,"tags":174},"I1",4,[],[173],"smart agriculture",[116],[176,177],"气候变化适应 智慧农业 番茄生产 小农户","气候变化适应 智慧农业","气候变化适应智慧农业番茄生产小农户-1726","10.38124\u002Fijisrt\u002F26aug501",{"doi":179,"openalex_id":181,"authors":182,"venue":106,"cited_by_count":87,"oa_url":103,"card":187,"direction":193,"ingested_from":95},"W7208767895",[183,185],{"name":184,"orcid":8},"Evaristo Nyeleti",{"name":186,"orcid":8},"Joseph T. Mwale",{"tldr":188,"method":189,"finding":190,"direction":191,"opportunity":192},"评估赞比亚小农番茄生产中气候适应实践对产量的贡献。","混合方法，描述统计、Pearson相关、主题分析。","适应策略与产量强正相关（r=0.718），多数农户增产增收。","农业绿色发展与碳","可研究低成本灌溉技术、气候信息服务对适应策略采纳的影响。","智慧农业 \u002F 农业物联网","2026-09-05T23:30:09.666305Z",{"id":196,"title":197,"url":198,"summary":199,"summary_zh":200,"content":8,"source_name":9,"source_url":198,"published_at":201,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":202,"score_detail":203,"sources":205,"tags":207,"primary_topic":211,"secondary_topics":212,"classification":220,"search_phrases":270,"slug":273,"view_count":19,"doi":274,"paper":275,"created_at":294},1519,"Interdependence of adoption decisions of agroecological vegetable cropping systems among smallholder farmers in eastern Africa","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1899227","Vegetable production plays a vital role in enhancing nutrition and generating income in Kenya, where it is an important component of the agricultural sector. Among the most widely grown vegetables are cruciferous crops, while traditional African vegetables have increasingly gained prominence in recent years. Smallholder farmers account for more than 70% of the country’s total vegetable production. However, they face various complex factors such as extreme climate variability, invertebrate pests, and diseases which reduce productivity, yields and household incomes. They, therefore, often resort to the overuse of synthetic fertilizers and pesticides that could increase their susceptibility to pest resistance, declining soil fertility, and production risks. Agroecological cropping systems have been shown to improve soil fertility, suppress pests, and support sustainable livelihoods in Kenya. Nevertheless, despite their potential benefits, the adoption of agroecological cropping systems remains low. Therefore, this study aims to empirically analyze the factors influencing smallholder farmers’ adoption of selected agroecological vegetable cropping systems in Kenya. This study utilized a multistage sampling approach to gather cross-sectional data from 546 farmers cultivating cruciferous and traditional African vegetables in Kiambu and Murang’a counties. The sample size was determined using the specified sampling methodology. The agroecological vegetable cropping systems examined in this study included mixed cropping, strip cropping, row intercropping, border cropping, and crop rotation. Data was analyzed using a multivariate probit regression model. The findings indicated that adoption decisions were multivariate and interdependent across agroecological cropping systems. Household head gender, plot manager gender, and access to extension services had varying positive and negative impacts on the adoption of agroecological cropping systems. In addition, the occupation of the household head and income from non-vegetable farming activities was positively associated with adoption, while gross income derived from vegetable production was negatively associated with the adoption of some cropping systems. These findings highlight the need to strengthen agricultural extension services, promote gender-responsive farmer training, improve access to market opportunities, and support income diversification initiatives to enhance the adoption of agroecological vegetable cropping systems among smallholder farmers.","蔬菜生产在肯尼亚改善营养和增加收入方面发挥着重要作用，是该国农业部门的重要组成部分。在种植最广泛的蔬菜中，十字花科作物占据重要地位，而传统非洲蔬菜近年来日益受到重视。小农户占该国蔬菜总产量的70%以上。然而，他们面临着极端气候变率、无脊椎动物害虫和病害等各种复杂因素，这些因素降低了生产力、产量和家庭收入。因此，他们往往过度使用合成肥料和农药，这可能增加其对害虫抗药性、土壤肥力下降和生产风险的脆弱性。农业生态种植系统已被证明能够改善土壤肥力、抑制害虫，并支持肯尼亚的可持续生计。然而，尽管具有潜在效益，农业生态种植系统的采用率仍然较低。因此，本研究旨在实证分析影响肯尼亚小农户采用特定农业生态蔬菜种植系统的因素。本研究采用多阶段抽样方法，从基安布郡和穆兰阿郡种植十字花科蔬菜和传统非洲蔬菜的546名农户中收集横截面数据。样本量根据指定的抽样方法确定。本研究考察的农业生态蔬菜种植系统包括混作、条带种植、行间套作、边行种植和轮作。数据采用多元概率比回归模型进行分析。研究结果表明，各农业生态种植系统的采用决策具有多元性和相互依赖性。户主性别、地块管理者性别以及推广服务的获取对农业生态种植系统的采用产生了不同的正向和负向影响。此外，户主的职业和非蔬菜种植活动的收入与采用呈正相关，而蔬菜生产的总收入与某些种植系统的采用呈负相关。这些发现强调了加强农业推广服务、促进性别响应的农户培训、改善市场机会获取以及支持收入多样化举措的必要性，以促进农业生态蔬菜种植系统的采用。","2026-09-03T00:00:00Z",60,{"impact":16,"substance":18,"depth":110,"authority":16,"freshness":19,"relevant":20,"comment":204},"研究东非小农采纳生态农业种植系统的影响因素，数据详实，对农业推广有参考价值，但时效性较低。",[206],{"name":9,"url":198},[208,26,209,210],"非洲","农业生态","蔬菜种植",{"code":30,"slug":31,"name":32,"path":33,"parent_code":34},[213,214],{"code":57,"slug":128,"name":129,"path":130,"parent_code":131},{"code":215,"slug":216,"name":217,"path":218,"parent_code":219},"A7","forage-cropping","饲草与耕作制度","\u002Ftopic\u002Ffield-crops\u002Fforage-cropping","A",{"status":37,"locked":13,"version":38,"method":39,"evidence":221},{"candidates":222,"agricultural_evidence":44},[223,227,231,239,246,253,258,264],{"code":30,"score":144,"supported":44,"title":224,"abstract":225,"tags":226},[46],[32,46],[210],{"code":57,"score":144,"supported":44,"title":228,"abstract":229,"tags":230},[146],[26,146],[26],{"code":215,"score":232,"supported":44,"title":233,"abstract":234,"tags":238},9,[],[235,236,237],"轮作","crop rotation","intercropping",[],{"code":240,"score":98,"supported":44,"title":241,"abstract":242,"tags":245},"G1",[],[243,244],"农业推广","agricultural extension",[],{"code":247,"score":98,"supported":44,"title":248,"abstract":249,"tags":252},"H2",[],[250,251],"土壤","soil",[],{"code":254,"score":170,"supported":44,"title":255,"abstract":256,"tags":257},"H6",[],[209],[209],{"code":259,"score":51,"supported":44,"title":260,"abstract":261,"tags":263},"F3",[],[262],"肥料",[],{"code":265,"score":51,"supported":44,"title":266,"abstract":267,"tags":269},"F4",[],[268],"农药",[],[271,272],"农业生态 蔬菜种植 小农户 非洲","农业生态 蔬菜种植","农业生态蔬菜种植小农户非洲-1519","10.3389\u002Ffsufs.2026.1899227",{"doi":274,"openalex_id":276,"authors":277,"venue":9,"cited_by_count":87,"oa_url":198,"card":289,"direction":93,"ingested_from":95},"W7206195758",[278,281,283,285,287],{"name":279,"orcid":280},"Essy C. Kirui","https:\u002F\u002Forcid.org\u002F0000-0002-9413-4557",{"name":282,"orcid":8},"Dickson O. Okello",{"name":284,"orcid":8},"Michael M. Kidoido",{"name":286,"orcid":8},"Daniel M. Mutyambai",{"name":288,"orcid":8},"Komivi S. Akutse",{"tldr":290,"method":291,"finding":292,"direction":93,"opportunity":293},"分析肯尼亚小农采用生态农业蔬菜种植系统的影响因素及其决策的相互依赖性。","多阶段抽样收集546户数据，采用多元概率比回归模型分析。","采用决策具有多元相互依赖性，性别、推广服务、职业和收入来源等影响各异。","可研究如何通过数字化工具优化推广服务，针对不同性别和收入群体定制生态农业技术传播策略。","2026-09-03T23:30:07.781170Z",{"id":296,"title":297,"url":298,"summary":299,"summary_zh":300,"content":8,"source_name":301,"source_url":298,"published_at":302,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":303,"score_detail":304,"sources":307,"tags":309,"primary_topic":314,"secondary_topics":315,"classification":316,"search_phrases":333,"slug":336,"view_count":87,"doi":337,"paper":338,"created_at":350},5565,"A Unified Survival-Based Energy Framework Linking Plant Color, Stress, and Productivity","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23540961","Plant coloration, expressed through leaf greenness, floral pigmentation, and fruit color intensity, reflects the integrated outcome of pigment biosynthesis, optical absorption, metabolic regulation, and energy–mass exchange with the environment. While the biochemical pathways governing the synthesis and degradation of major pigment classes—including chlorophylls, carotenoids, and anthocyanins—are well established, existing models largely interpret color expression as a localized biochemical phenomenon. Such approaches do not explicitly account for whole-plant energy balance, transpiration-driven losses, or thermodynamic constraints, limiting their ability to explain widely observed patterns of color saturation, stress-induced fading, and species-specific stability across environmental gradients. Here we develop a unified framework for plant color generation and stability that treats pigmentation as a survival-limited energetic process embedded within the broader dynamics of absorption, transport, metabolism, and entropy production. Central to the framework is a dimensionless energy survival factor, Ψ=AE\u002FTE+ε where AE represents absorbed and retained energetic and elemental resources relevant to pigment formation, TE denotes transpiration-linked, metabolic, and environmental dissipation losses, and ε captures irreducible entropy-producing degradation inherent to non-equilibrium biological systems. By construction, 0\u003CΨ\u003C1, ensuring full compliance with the second law of thermodynamics. When combined with pigment-specific optical absorption coefficients and physiological limitation functions, the framework yields a physically interpretable description of both pigment concentration and color stability. Empirical ranges for absorbed photosynthetically active radiation (≈45–70%), excitation survival (≈85–95%), and respiratory and transpiration losses (≈30–60% of assimilated resources) naturally constrain Ψ, predicting observed limits on sustained pigment accumulation without invoking biochemical inefficiency or ad hoc correction factors. The analysis demonstrates that increased light availability or enhanced biosynthetic capacity alone does not intensify coloration unless absorbed resources survive transport and loss processes. Stress-induced chlorosis, transient anthocyanin accumulation, and saturation of greenness under high irradiance emerge as direct consequences of reduced energy survival rather than impaired pigment synthesis. By explicitly separating survival from synthesis, the framework reconciles molecular-scale pigment biochemistry with whole-plant and ecosystem-scale color dynamics. This survival-based formulation provides a unified physical basis for interpreting plant color variation across species and environments and offers a scalable foundation for crop stress diagnostics, remote-sensing interpretation, and comparative plant phenotyping. More broadly, it extends survival-limited energy principles to visible plant traits, advancing plant science beyond isolated biochemical descriptions toward a systems-level understanding of how energy governs phenotypic expression.","植物色泽通过叶片绿色度、花色苷着色和果实颜色强度体现，反映了色素生物合成、光学吸收、代谢调控以及与环境的能量-物质交换的综合结果。尽管主要色素类别——包括叶绿素、类胡萝卜素和花青素——的合成与降解生化途径已较为明确，但现有模型大多将颜色表达解释为局部生化现象。此类方法未明确考虑整株植物能量平衡、蒸腾驱动的损耗或热力学约束，限制了其解释广泛观察到的颜色饱和度、胁迫诱导褪色以及跨环境梯度的物种特异性稳定性等模式的能力。本文构建了一个统一的植物颜色生成与稳定性框架，将色素沉着视为一种受生存限制的能量过程，并将其嵌入吸收、运输、代谢和熵产生的更广泛动力学之中。该框架的核心是一个无量纲能量生存因子Ψ=AE\u002FTE+ε，其中AE代表与色素形成相关的被吸收并保留的能量和元素资源，TE表示与蒸腾相关的、代谢的和环境的耗散损失，ε则捕捉非平衡生物系统固有的不可约熵产生降解。根据构建方式，0\u003CΨ\u003C1，确保完全符合热力学第二定律。当与色素特异性光学吸收系数和生理限制函数相结合时，该框架可对色素浓度和颜色稳定性给出具有物理可解释性的描述。吸收性光合有效辐射（约45–70%）、激发能存活率（约85–95%）以及呼吸和蒸腾损失（约占同化资源的30–60%）的经验范围自然约束了Ψ，从而预测出所观察到的持续色素积累限度，而无需引入生化低效性或特设校正因子。分析表明，仅增加光照可用性或增强生物合成能力并不会加深颜色，除非被吸收的资源能够在运输和损失过程中存活下来。胁迫诱导的黄化、瞬时花青素积累以及高辐照下绿色度饱和，均表现为能量生存率降低而非色素合成受损的直接后果。通过明确分离生存","Zenodo (CERN European Organization for Nuclear 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