[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3141":3,"related-3141":62},{"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,"search_phrases":31,"slug":34,"view_count":35,"doi":36,"paper":37,"created_at":61},3141,"Scale-appropriate mechanization as a pathway to sustainable family farming: farm-level evidence from Northeast Brazil","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1897458","Family farming is central to sustainable food systems, rural livelihoods, and food security in Brazil, but many family farms in the Northeast still face labor constraints and limited access to machinery suited to small, fragmented, and diversified production systems. Scale-appropriate mechanization may offer a targeted pathway to address labor bottlenecks, improve operational timeliness, lower operational costs, and support locally adapted mechanization services. This study examined farm-level changes associated with the adoption of small- to medium-scale agricultural machinery in family-farming systems of Northeast Brazil, focusing on labor use, machine-use intensity, mechanization-related operational cost, and the practical conditions shaping mechanization outcomes. The analysis combined a purposively selected balanced before-and-after panel of 59 regular pilot-project machinery-using family farm cases, giving 118 observations. The before period represented farmers’ regular production practices, while the after period represented regular use of machinery introduced through the pilot project, complemented by operation-level field and qualitative evidence from Apodi, Russas MST, and Maranhão. Farmer fixed-effects models were used to estimate within-farmer before-and-after changes associated with machinery adoption. The results showed that labor use declined from 14.42 to 3.21 h\u002Fha, a reduction of 11.21 h\u002Fha or 77.72%, while machine use increased from 1.06 to 2.95 h\u002Fha, an increase of 1.89 h\u002Fha or 178.35%. Total mechanization-related operational cost declined from R$574.44 to R$184.77\u002Fha, a reduction of R$389.67\u002Fha or 67.83%. Operation-level evidence showed that the largest observed changes were concentrated in rice land preparation, vegetable bed preparation, inter-row weeding, forage harvesting, sowing, and rice harvesting. In Apodi, targeted mechanized operations reduced time by 50.0–96.3% and cost by 45.3–86.0%. In Russas, cooperative machinery use reduced selected operation costs by 61.7–88.5% while in Maranhão, mini combine harvesters sharply reduced rice harvesting time. These findings suggest that scale-appropriate mechanization can improve labor allocation and cost efficiency among machinery-using family-farm cases. However, the before-and-after design does not establish a full causal treatment effect, and sustained benefits depend on machine-agronomy fit, collective access, and localized mechanization support services.","家庭农业是巴西可持续粮食体系、农村生计和粮食安全的核心，但东北部许多家庭农场仍面临劳动力约束，以及适合小规模、细碎化和多样化生产体系的机械获取受限的问题。规模适配的机械化可能提供一条有针对性的路径，以缓解劳动力瓶颈、改善作业及时性、降低作业成本，并支持适应当地的机械化服务。本研究考察了巴西东北部家庭农业体系中采用中小型农业机械相关的农场层面变化，重点关注劳动力使用、机械使用强度、机械化相关作业成本，以及塑造机械化结果的实际条件。分析结合了一个有目的选取的平衡前后面板，包含59个常规试点项目机械使用家庭农场案例，共118个观测值。前期代表农民常规生产方式，后期代表通过试点项目引入的机械的常规使用，并辅以来自阿波迪、鲁萨斯MST和马拉尼昂的作业层面田间证据和定性证据。研究采用农民固定效应模型估计机械采用相关的农民内部前后变化。结果表明，劳动力使用从14.42小时\u002F公顷降至3.21小时\u002F公顷，减少11.21小时\u002F公顷，降幅77.72%；机械使用从1.06小时\u002F公顷增至2.95小时\u002F公顷，增加1.89小时\u002F公顷，增幅178.35%。机械化相关总作业成本从574.44雷亚尔\u002F公顷降至184.77雷亚尔\u002F公顷，减少389.67雷亚尔\u002F公顷，降幅67.83%。作业层面证据表明，观测到的最大变化集中在水稻整地、蔬菜苗床准备、行间除草、饲草收获、播种和水稻收获。在阿波迪，有针对性的机械化作业使时间减少50.0%–96.3%，成本降低45.3%–86.0%。在鲁萨斯，合作社机械使用使部分选定作业成本降低61.7%–88.5%；而在马拉尼昂，小型联合收割机大幅缩短了水稻收获时间。这些发现表明，规模适配的机械化可以改善机械使用家庭农场案例中的劳动力配置和成本效率。然而，前后设计并不能确立完整的因果处理效应，持续收益取决于机械—农艺适配性、集体获取途径和本地化机械化支持服务。",null,"Frontiers in Sustainable Food Systems","2026-09-22T00:00:00Z","论文",10,false,73,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":13,"relevant":21,"comment":22},12,21,17,13,1,"基于巴西东北部59个家庭农场前后对比面板的实证研究，量化了适度规模机械化的节本增效效果，方法清晰、数据具体，对国内丘陵山区农机化与小农户服务体系建设有借鉴价值，但属境外案例、影响层级有限。",[24],{"name":10,"url":6},[26,27,28,29,30],"家庭农场","农业机械化","小农户","农机社会化服务","巴西农业",[32,33],"巴西 东北部 家庭农业 机械化","小规模农机 劳动力 成本","巴西东北部家庭农业机械化-3141",0,"10.3389\u002Ffsufs.2026.1897458",{"doi":36,"openalex_id":38,"authors":39,"venue":10,"cited_by_count":35,"oa_url":6,"card":54,"direction":58,"ingested_from":60},"W7213982637",[40,43,45,47,50,52],{"name":41,"orcid":42},"Abreham Arebe Tola","https:\u002F\u002Forcid.org\u002F0009-0002-8884-0196",{"name":44,"orcid":9},"Muhammad Mateen",{"name":46,"orcid":9},"Eribaldo Gomes Nobre Júnior",{"name":48,"orcid":49},"Vinícius Claudino de Sá","https:\u002F\u002Forcid.org\u002F0000-0002-9456-8937",{"name":51,"orcid":9},"Xindong Ni",{"name":53,"orcid":9},"Minli Yang",{"tldr":55,"method":56,"finding":57,"direction":58,"opportunity":59},"基于巴西东北部家庭农场面板数据，评估适度规模机械化对劳动、成本和机械使用的影响。","59个家庭农场前后平衡面板（118观测），农民固定效应模型，结合田间定性证据。","劳动投入降77.72%，机械使用增178.35%，机械化运营成本降67.83%。","数字乡村与农业信息化","可延伸研究：机械化与数字农艺服务结合，如何提升小农户机械-农艺匹配与持续收益。","openalex","2026-09-22T23:30:07.829960Z",{"total":63,"page":21,"page_size":63,"items":64},6,[65,111,151,189,228,266],{"id":66,"title":67,"url":68,"summary":69,"summary_zh":70,"content":9,"source_name":71,"source_url":68,"published_at":72,"category":12,"cover_url":9,"hotness":73,"is_selected":14,"score":74,"score_detail":75,"sources":81,"tags":85,"search_phrases":90,"slug":93,"view_count":35,"doi":94,"paper":95,"created_at":110},3198,"Farm Budgeting and Gross Margin Analysis as Extension Tools for Promoting Commercial Agriculture among Smallholder Farmers in Zamfara State, Nigeria.","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22870012","Abstract This study assessed farm budgeting and gross margin analysis as extension tools for promoting commercial agriculture among smallholder farmers in Zamfara State, Nigeria. Specifically, the study examined farmers' knowledge and use of farm budgeting and gross margin analysis, assessed the role of agricultural extension agents in promoting their application, determined the level of commercial agriculture participation, and examined the relationship between the use of the two tools and commercial agriculture participation. A multistage sampling procedure was used to select 241 smallholder farmers from four Local Government Areas. Data were collected through a structured, pre-tested interview schedule and analysed using descriptive statistics, farm budgeting, gross margin analysis, benefit-cost ratio, and multiple linear regression estimated using the Ordinary Least Squares method. The results showed that farmers had a relatively high level of knowledge of farm budgeting and gross margin analysis (grand mean = 3.40), whereas their actual use of the tools was low (mean = 2.82), indicating a knowledge–application gap. Extension support was positively rated (mean = 3.38), although follow-up support remained limited. Commercial agriculture participation was relatively high (mean = 3.41). The regression model was statistically significant (F = 47.84, p \u003C 0.001) and explained 58.3% of the variation in commercial agriculture participation. Farm budgeting (B = 0.286, p \u003C 0.001) and gross margin analysis (B = 0.351, p \u003C 0.001) were positively and significantly associated with commercial agriculture participation. The study concluded that strengthening practical extension support for financial planning and profitability assessment could enhance informed and market-oriented farm decision-making among smallholder farmers. Keywords: Financial planning; Profitability assessment; Market orientation; Farm management; Enterprise decision-making; Extension Tools.","摘要 本研究评估了农场预算编制与毛利分析作为推广工具在尼日利亚扎姆法拉州促进小农户商业化农业方面的作用。具体而言，本研究考察了农民对农场预算编制和毛利分析的知识与使用情况，评估了农业推广人员在推动其应用中的作用，测定了商业化农业参与水平，并检验了这两种工具的使用与商业化农业参与之间的关系。采用多阶段抽样程序，从四个地方政府区域选取了241名小农户。数据通过结构化、预先测试的访谈问卷收集，并采用描述性统计、农场预算编制、毛利分析、效益成本比以及普通最小二乘法估计的多元线性回归进行分析。结果表明，农民对农场预算编制和毛利分析的知识水平相对较高（总均值=3.40），而其对工具的实际使用率较低（均值=2.82），表明存在知识—应用差距。推广支持获得正面评价（均值=3.38），但后续跟进支持仍然有限。商业化农业参与度相对较高（均值=3.41）。回归模型具有统计学显著性（F=47.84，p\u003C0.001），解释了商业化农业参与变异的58.3%。农场预算编制（B=0.286，p\u003C0.001）和毛利分析（B=0.351，p\u003C0.001）与商业化农业参与呈显著正相关。研究得出结论，加强对财务规划和盈利能力评估的实践性推广支持，可增强小农户知情且面向市场的农场决策能力。关键词：财务规划；盈利能力评估；市场导向；农场管理；企业经营决策；推广工具。","Zenodo (CERN European Organization for Nuclear Research)","2026-09-21T00:00:00Z",25,65,{"impact":76,"substance":77,"depth":78,"authority":17,"freshness":79,"relevant":21,"comment":80},8,20,16,9,"基于241户小农户调查的实证研究，揭示农业推广中财务工具的知识-应用差距，对农业信息化与推广服务有参考价值，但地域局限于尼日利亚。",[82,83],{"name":71,"url":68},{"name":71,"url":84},"https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22870011",[28,86,87,88,89],"农业推广","尼日利亚","农场预算","农业商业化",[91,92],"Zamfara 小农户 农业推广","农场预算 毛利分析","Zamfara小农户农业推广-3198","10.5281\u002Fzenodo.22870012",{"doi":94,"openalex_id":96,"authors":97,"venue":71,"cited_by_count":35,"oa_url":68,"card":104,"direction":109,"ingested_from":60},"W7213887499",[98,100,102],{"name":99,"orcid":9},"M.K. Idris",{"name":101,"orcid":9},"M. I. Fagge",{"name":103,"orcid":9},"U.S. Danjuma",{"tldr":105,"method":106,"finding":107,"direction":58,"opportunity":108},"研究尼日利亚小农户农场预算与毛利分析作为推广工具对商业化农业参与的影响。","多阶段抽样241户，用描述统计、农场预算、毛利分析、OLS回归。","农户知识高但使用低，两工具均显著正向关联商业化农业参与（解释58.3%）。","可探索将农场预算与毛利分析数字化、嵌入移动端推广工具，弥合知识-应用鸿沟。","农业人工智能与决策模型","2026-09-22T23:30:46.883515Z",{"id":112,"title":113,"url":114,"summary":115,"summary_zh":116,"content":9,"source_name":117,"source_url":114,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":74,"score_detail":118,"sources":121,"tags":123,"search_phrases":126,"slug":129,"view_count":35,"doi":130,"paper":131,"created_at":150},3154,"The Role of Agricultural Extension Services in Promoting Climate-Smart Agriculture Adoption among Smallholder Farmers in Mwingi West sub-county Kitui County, Kenya","https:\u002F\u002Fdoi.org\u002F10.9734\u002Fajaees\u002F2026\u002Fv44i103022","Agricultural extension services provide smallholder farmers with knowledge, technical guidance, and advisory support that can facilitate the adoption of climate-smart agricultural (CSA) practices. This study examined the role of agricultural extension services in promoting CSA adoption among smallholder farmers in Mwingi West Sub-County, Kitui County, Kenya. A cross-sectional mixed-methods design was used. Quantitative data were collected from 200 randomly selected farmers through structured questionnaires, while qualitative evidence was obtained from 10 agricultural extension officers and 10 focus group discussions with farmer groups. Quantitative data were analysed using descriptive statistics and the chi-square test of independence. Significant associations were reported between CSA adoption and access to agricultural extension services, the source of extension information, type of extension support received, frequency of extension contact, perceived usefulness of extension services, CSA practices promoted through extension, and farmers’ perceived influence of extension services on adoption. Most respondents (82.0%) had access to extension services. Extension agents were the main information source (46.0%), and technical training was the most frequently reported support (38.0%). Conservation agriculture (30.0%), agroforestry (22.0%), and water harvesting (19.0%) were the leading practices promoted through extension activities. Nearly half of respondents (48.0%) reported that extension services had increased CSA adoption to a great extent. The findings indicate that accessible, practical, and regular extension support is closely associated with CSA adoption in the study area.","农业推广服务为小农户提供知识、技术指导和咨询服务，有助于促进气候智能型农业（CSA）实践的采纳。本研究考察了农业推广服务在促进肯尼亚基图伊县姆温吉西分区小农户采纳气候智能型农业实践中的作用。研究采用横断面混合方法设计。定量数据通过结构化问卷从200名随机抽取的农户中收集，定性证据则来自10名农业推广官员以及10次农户小组焦点小组讨论。定量数据采用描述性统计和卡方独立性检验进行分析。结果显示，气候智能型农业实践的采纳与以下因素存在显著关联：能否获得农业推广服务、推广信息来源、所获推广支持类型、推广接触频率、推广服务的感知有用性、通过推广所宣传的气候智能型农业实践，以及农户对推广服务在采纳过程中影响力的感知。大多数受访者（82.0%）能够获得推广服务。推广人员是主要的信息来源（46.0%），技术培训是最常报告的支持类型（38.0%）。通过推广活动宣传的主要实践包括保护性农业（30.0%）、农林业（22.0%）和雨水收集（19.0%）。近半数受访者（48.0%）表示推广服务在很大程度上提高了气候智能型农业实践的采纳率。研究结果表明，在研究区域内，可及、实用且定期的推广支持与气候智能型农业实践的采纳密切相关。","Asian Journal of Agricultural Extension Economics & Sociology",{"impact":76,"substance":77,"depth":119,"authority":17,"freshness":13,"relevant":21,"comment":120},15,"基于肯尼亚小农户的实证研究，数据翔实但地域性强，对国内三农信息化参考价值有限，可作国际经验收录。",[122],{"name":117,"url":114},[124,28,125,86],"肯尼亚","气候智慧农业",[127,128],"气候智慧农业 农业推广 小农户 肯尼亚","气候智慧农业 农业推广","气候智慧农业农业推广小农户肯尼亚-3154","10.9734\u002Fajaees\u002F2026\u002Fv44i103022",{"doi":130,"openalex_id":132,"authors":133,"venue":117,"cited_by_count":35,"oa_url":114,"card":144,"direction":149,"ingested_from":60},"W7213979623",[134,136,138,140,142],{"name":135,"orcid":9},"Simon Mbala",{"name":137,"orcid":9},"David Kawioo Mwanzia",{"name":139,"orcid":9},"Thomas Ekamais Akuja",{"name":141,"orcid":9},"Felix Ngunzo Kioli",{"name":143,"orcid":9},"Harrison Musyoka Maithya",{"tldr":145,"method":146,"finding":147,"direction":58,"opportunity":148},"研究肯尼亚小农户中农业推广服务对气候智慧型农业采纳的促进作用。","混合方法，200份农户问卷、10名推广员访谈和10组焦点小组，卡方检验。","推广服务可及性、信息源、支持类型和接触频率与CSA采纳显著相关，82%农户有推广服务。","可探索数字推广渠道（如手机短信、APP）如何替代或补充传统推广员，提升小农户CSA采纳率。","智慧农业 \u002F 农业物联网","2026-09-22T23:30:10.323072Z",{"id":152,"title":153,"url":154,"summary":155,"summary_zh":156,"content":9,"source_name":10,"source_url":154,"published_at":72,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":157,"score_detail":158,"sources":161,"tags":163,"search_phrases":167,"slug":170,"view_count":35,"doi":171,"paper":172,"created_at":188},3148,"Factors influencing the adoption of climate-smart agriculture practices among smallholder farmers in Melani and Msobomvu villages, Eastern Cape Province","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1869050","Climate-Smart Agriculture (CSA) is widely recognised as an effective approach for improving agricultural productivity, strengthening resilience to climate change, and enhancing food security among small-scale farmers. However, the adoption of CSA practices remains uneven in many rural communities, including Melani and Msobomvu villages in the Raymond Mhlaba Local Municipality, Eastern Cape Province, South Africa. This study investigated farmers’ awareness and understanding of climate-smart agriculture practices, identified the barriers limiting CSA adoption, and examined the socio-economic and institutional factors influencing adoption decisions. A descriptive research design within a quantitative research approach was employed. Data were collected from 158 randomly selected small-scale farmers using a structured questionnaire and analysed using descriptive statistics, including frequencies, percentages, means, and standard deviations. One-Way Analysis of Variance (ANOVA) was used to determine the significance of selected socio-economic and institutional factors influencing CSA adoption. The findings revealed that respondents generally possessed a good awareness and understanding of climate-smart agriculture practices, although awareness differed across technologies. Rainwater harvesting (80%), crop diversification (71%), conservation agriculture (68%), and soil conservation (68%) recorded the highest levels of awareness, whereas awareness was comparatively lower for drought-tolerant crop varieties (57%), climate information services (55%), and improved livestock management (49%). The study further identified farmer resistance to change, inadequate financial resources, and limited extension materials as the major barriers limiting CSA adoption. One-Way ANOVA indicated that financial constraints, market access, knowledge of climate-smart agriculture technologies, and extension support were statistically significant factors influencing adoption decisions ( p \u003C 0.05).","气候智慧型农业（Climate-Smart Agriculture, CSA）被广泛认为是提高农业生产率、增强气候变化适应能力以及改善小农户粮食安全的有效途径。然而，在许多农村社区，包括南非东开普省雷蒙德·姆拉巴地方自治市内的梅拉尼和姆索博姆武两个村庄，气候智慧型农业实践的采用仍然不均衡。本研究调查了农民对气候智慧型农业实践的认识和理解，识别了限制气候智慧型农业采用的障碍，并考察了影响采用决策的社会经济与制度因素。研究采用定量研究路径下的描述性研究设计，通过结构化问卷从158名随机选取的小农户中收集数据，并运用描述性统计方法（包括频数、百分比、均值和标准差）进行分析。采用单因素方差分析（One-Way ANOVA）确定所选社会经济与制度因素对气候智慧型农业采用影响的显著性。研究结果表明，受访者总体上对气候智慧型农业实践具有较好的认识和理解，但不同技术之间的认知水平存在差异。雨水收集（80%）、作物多样化（71%）、保护性农业（68%）和土壤保持（68%）的认知度最高，而耐旱作物品种（57%）、气候信息服务（55%）和改良牲畜管理（49%）的认知度相对较低。研究进一步识别出农民对变革的抵触、资金资源不足以及推广材料有限是限制气候智慧型农业采用的主要障碍。单因素方差分析表明，资金约束、市场准入、气候智慧型农业技术知识和推广支持是影响采用决策的统计显著因素（p \u003C 0.05）。",63,{"impact":76,"substance":159,"depth":119,"authority":20,"freshness":79,"relevant":21,"comment":160},18,"以南非东开普省两个村庄158户小农为样本，量化了气候智慧农业采纳的显著影响因素，方法规范、数据具体，但属区域案例研究，公共影响层级有限。",[162],{"name":10,"url":154},[28,125,164,165,166],"技术采纳","南非农业","推广服务",[168,169],"Eastern Cape 小农户 气候智慧农业","Raymond Mhlaba 农业技术采纳","EasternCape小农户气候智慧农业-3148","10.3389\u002Ffsufs.2026.1869050",{"doi":171,"openalex_id":173,"authors":174,"venue":10,"cited_by_count":35,"oa_url":154,"card":183,"direction":149,"ingested_from":60},"W7213921129",[175,177,180],{"name":176,"orcid":9},"Sibonise Lufume",{"name":178,"orcid":179},"L. Gwala","https:\u002F\u002Forcid.org\u002F0000-0002-0186-050X",{"name":181,"orcid":182},"Leocadia Zhou","https:\u002F\u002Forcid.org\u002F0000-0002-0344-4710",{"tldr":184,"method":185,"finding":186,"direction":58,"opportunity":187},"研究南非东开普省小农户对气候智慧型农业的认知、障碍及影响因素。","对158户小农问卷调查，用描述统计与单因素方差分析。","农户认知较高但采用不均，资金、市场、知识与推广支持显著影响采用。","可探索气候信息服务与推广数字化如何降低小农采用气候智慧型农业的障碍。","2026-09-22T23:30:08.462412Z",{"id":190,"title":191,"url":192,"summary":193,"summary_zh":194,"content":9,"source_name":10,"source_url":192,"published_at":72,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":195,"score_detail":196,"sources":198,"tags":200,"search_phrases":203,"slug":206,"view_count":35,"doi":207,"paper":208,"created_at":227},3143,"Underutilised indigenous crop adoption and household food security: evidence from a cross-sectional study of smallholder farmers in South Africa","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1939658","Introduction Underutilised indigenous crops (UICs) are increasingly recognised in South Africa as a potential component of resilient and nutrition-sensitive agricultural systems. However, policy recognition has not been matched by sufficient household-level evidence on the extent and distribution of UIC adoption, the factors associated with adoption, or the relationship between UIC adoption and household food access insecurity among smallholder farming households in South Africa. Methods A quantitative, cross-sectional observational design was used among 205 smallholder farming households in KwaZulu-Natal and the Eastern Cape. Household food-access insecurity was measured using the Household Food Insecurity Access Scale (HFIAS). Logistic regression, ordinary least squares regression, propensity-score matching, chi-square tests, and descriptive analysis were used to examine adoption patterns, associated factors, and food-access security outcomes. Results UIC adoption was reported by 70.2% of respondents, with pumpkin, cowpeas, and amaranth among the most widely cultivated crops. Adopting households had lower mean HFIAS scores than non-adopting households and were less likely to be classified as severely food insecure. In the OLS model, adoption was negatively associated with HFIAS scores ( β = −2.10, p = 0.007). Propensity-score matching also estimated a lower HFIAS score among adopters than among matched non-adopters (ATT = −2.15, p = 0.006). Water sufficiency, group membership, extension contact, education, and household size were associated with food-access security. Discussion The findings indicate that UIC adoption is associated with better household food-access security, but the cross-sectional observational design does not establish a causal effect. Promoting UICs may contribute to nutrition-sensitive agricultural development when accompanied by enabling conditions such as reliable water access, extension support, social capital, and productive resources.","引言 在南非，未被充分利用的本土作物（underutilised indigenous crops, UICs）日益被视为具有韧性和营养敏感性的农业系统的潜在组成部分。然而，政策层面的认可与充分的家庭层面证据之间仍存在差距，这些证据涉及UIC采用的程度与分布、与采用相关的因素，以及UIC采用与南非小农家庭食物获取不安全状况之间的关系。方法 本研究采用定量、横断面观察性设计，在夸祖鲁-纳塔尔省和东开普省的205个小农家庭中开展调查。家庭食物获取不安全状况采用家庭食物不安全获取量表（Household Food Insecurity Access Scale, HFIAS）进行测量。研究运用逻辑回归、普通最小二乘回归、倾向得分匹配、卡方检验和描述性分析，考察采用模式、相关因素及食物获取安全结果。结果 70.2%的受访者报告采用了UIC，其中南瓜、豇豆和苋菜是种植最广泛的作物。采用UIC的家庭HFIAS平均得分低于未采用家庭，且被归类为严重食物不安全的可能性更低。在OLS模型中，采用UIC与HFIAS得分呈负相关（β = −2.10，p = 0.007）。倾向得分匹配也估计出采用者的HFIAS得分低于匹配后的非采用者（ATT = −2.15，p = 0.006）。水资源充足性、群体成员身份、推广接触、教育程度和家庭规模与食物获取安全相关。讨论 研究结果表明，UIC采用与更好的家庭食物获取安全相关，但横断面观察性设计无法确立因果效应。在具备可靠水资源获取、推广支持、社会资本和生产性资源等有利条件的情况下，推广UIC可能有助于营养敏感型农业发展。",71,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":76,"relevant":21,"comment":197},"以南非205户小农为样本的实证研究，方法规范、数据具体，但属区域案例，对国内三农信息化参考价值有限。",[199],{"name":10,"url":192},[201,28,86,165,202],"粮食安全","本土作物",[204,205],"南非 小农户 本土作物","KwaZulu-Natal 粮食安全","南非小农户本土作物-3143","10.3389\u002Ffsufs.2026.1939658",{"doi":207,"openalex_id":209,"authors":210,"venue":10,"cited_by_count":35,"oa_url":192,"card":222,"direction":58,"ingested_from":60},"W7213867432",[211,213,216,219],{"name":212,"orcid":9},"Glen Themba Mendi",{"name":214,"orcid":215},"Jan Willem Swanepoel","https:\u002F\u002Forcid.org\u002F0000-0002-0812-2657",{"name":217,"orcid":218},"Siphe Zantsi","https:\u002F\u002Forcid.org\u002F0000-0001-9787-3913",{"name":220,"orcid":221},"Oluwasogo David Olorunfemi","https:\u002F\u002Forcid.org\u002F0000-0002-3524-4262",{"tldr":223,"method":224,"finding":225,"direction":58,"opportunity":226},"研究南非小农户采用未充分利用本土作物与家庭食物安全的关系。","对205户小农户横截面调查，用HFIAS、逻辑回归和倾向得分匹配分析。","70.2%农户采用本土作物，采用者食物不安全评分显著更低。","可结合数字推广与遥感监测，评估本土作物采用对食物安全的长期因果效应。","2026-09-22T23:30:07.989696Z",{"id":229,"title":230,"url":231,"summary":232,"summary_zh":233,"content":9,"source_name":10,"source_url":231,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":234,"score_detail":235,"sources":238,"tags":240,"search_phrases":245,"slug":248,"view_count":35,"doi":249,"paper":250,"created_at":265},3138,"The role of improved seed variety and information access in moderating the effect of cluster farming on climate resilience: a global meta-analysis with a focus on Ethiopia","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1718735","Climate change increasingly threatens rain-fed agriculture in developing countries like Ethiopia. Cluster farming has emerged as a potential strategy to enhance smallholder resilience; however, existing evidence remains fragmented. Following PRISMA guidelines, we conducted a systematic review and meta-analysis of 18 peer-reviewed studies (2000–2025), including eight from Ethiopia. Random-effects models were used to calculate pooled standardized mean differences (SMDs). Subgroup analysis, meta-regression, and publication bias assessments were performed. Cluster farming had a significant positive effect on climate resilience [pooled SMD = 0.55 (95% CI: 0.48–0.62), p \u003C 0.001]. Heterogeneity was substantial (I 2 = 63.86%) but fully explained by outcome measurement type. Composite resilience indices showed the largest effects (SMD = 0.74), followed by practice counts (SMD 0.52) and binary outcomes (SMD = 0.51). Meta-regression analysis revealed that neither information access (coef. =0.2819, p = 0.722), nor access to improved seed (coef. = 0.0384, p = 0.502) were statistically significant moderators. Cluster farming significantly enhances smallholder climate resilience, and the benefits appear consistent across different levels of information access and seed quality. Policymakers should promote integrated resilience measurement and contextualize interventions based on local infrastructure and extension capabilities.","气候变化日益威胁着埃塞俄比亚等发展中国家的雨养农业。集群农业（cluster farming）已成为提升小农户韧性的潜在策略，然而现有证据仍较为零散。遵循PRISMA指南，我们对18项同行评审研究（2000—2025年）进行了系统综述与元分析，其中8项来自埃塞俄比亚。采用随机效应模型计算合并标准化均数差（SMDs）。进行了亚组分析、元回归及发表偏倚评估。集群农业对气候韧性具有显著正向效应[合并SMD = 0.55（95% CI：0.48–0.62），p \u003C 0.001]。异质性较大（I² = 63.86%），但可由结果测量类型完全解释。综合韧性指数显示最大效应（SMD = 0.74），其次为实践计数（SMD = 0.52）和二元结果（SMD = 0.51）。元回归分析表明，信息获取（系数 = 0.2819，p = 0.722）和改良种子获取（系数 = 0.0384，p = 0.502）均非统计学显著的调节变量。集群农业显著增强了小农户的气候韧性，且其效益在不同信息获取水平和种子质量下似乎保持一致。政策制定者应推动综合性韧性测量，并根据当地基础设施和推广能力对干预措施进行情境化调整。",81,{"impact":159,"substance":236,"depth":159,"authority":20,"freshness":13,"relevant":21,"comment":237},22,"基于18项研究的全球荟萃分析，方法规范、结论明确，对气候韧性农业与信息服务的政策设计有参考价值。",[239],{"name":10,"url":231},[241,28,242,243,244],"种业振兴","气候韧性","集群农业","信息获取",[246,247],"埃塞俄比亚 集群农业 气候韧性","改良品种 信息获取 小农户","埃塞俄比亚集群农业气候韧性-3138","10.3389\u002Ffsufs.2026.1718735",{"doi":249,"openalex_id":251,"authors":252,"venue":10,"cited_by_count":35,"oa_url":231,"card":259,"direction":263,"ingested_from":60},"W7213897466",[253,256],{"name":254,"orcid":255},"Haile Tamiru","https:\u002F\u002Forcid.org\u002F0000-0003-3641-5809",{"name":257,"orcid":258},"Jun He","https:\u002F\u002Forcid.org\u002F0000-0003-4839-3950",{"tldr":260,"method":261,"finding":262,"direction":263,"opportunity":264},"通过荟萃分析评估集群农业对气候韧性的影响，并检验改良种子与信息获取的调节作用。","遵循PRISMA，对18项研究（含8项埃塞俄比亚）做随机效应荟萃分析、亚组与元回","集群农业显著提升小农气候韧性（SMD=0.55），但信息获取和改良种子无显著调节作用。","农业绿色发展与碳","可探索不同信息渠道与种子体系下集群农业韧性的异质性机制及长期动态效应。","2026-09-22T23:30:07.548501Z",{"id":267,"title":268,"url":269,"summary":270,"summary_zh":271,"content":9,"source_name":272,"source_url":269,"published_at":273,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":274,"score_detail":275,"sources":277,"tags":279,"search_phrases":280,"slug":282,"view_count":35,"doi":283,"paper":284,"created_at":299},3059,"Climate Smart Agriculture and Food Security among Rural Farmers in Nasarawa State, Nigeria","https:\u002F\u002Fdoi.org\u002F10.67317\u002Fijmsrt26sep046","Climate change continues to threaten agricultural productivity and household food security, particularly among rural farmers who depend on rain-fed agriculture. This study examined climate smart agriculture and food security among rural farmers in Nasarawa State, Nigeria. Specifically, it assessed the extent of adoption of climatesmart agricultural practices and examined their influence on household food security. A mixed-methods descriptive survey design was adopted. Data were collected from 372 rural farming households using structured questionnaires, while Key Informant Interviews were conducted with agricultural extension officers and community leaders. Secondary data were obtained from relevant journal articles, government publications, and reports. Quantitative data were analyzed using frequency tables and percentages and presented with bar charts, while qualitative data were transcribed, interpreted, and integrated with the quantitative findings. The study found that climate-smart agricultural practices significantly enhanced household food security, with 86% of the respondents indicating that the practices strengthened their resilience to climate change, while 85% reported improved household food availability. The study concludes that climate-smart agriculture is an effective approach for improving the livelihoods and food security of rural farming households in Nasarawa State. The study recommends that the Nasarawa State Agricultural Development Programme (NADP), in collaboration with the State Ministry of Agriculture and agricultural extension agencies, should strengthen extension services by providing regular farmer training, climate information, and access to climate-smart agricultural technologies to promote wider adoption and enhance household food security.","气候变化持续威胁农业生产力和家庭粮食安全，尤其是依赖雨养农业的农村农民。本研究考察了尼日利亚纳萨拉瓦州农村农民的气候智能型农业与粮食安全状况。具体而言，研究评估了气候智能型农业实践的采用程度，并考察了其对家庭粮食安全的影响。研究采用混合方法描述性调查设计。通过结构化问卷从372个农村农户收集数据，同时对农业推广官员和社区领袖进行了关键信息人访谈。二手数据来源于相关期刊文章、政府出版物和报告。定量数据采用频数表和百分比进行分析，并以柱状图呈现；定性数据经转录、解释后与定量研究结果进行整合。研究发现，气候智能型农业实践显著增强了家庭粮食安全，86%的受访者表示这些实践增强了其应对气候变化的能力，85%的受访者报告家庭粮食可获得性有所改善。研究结论认为，气候智能型农业是改善纳萨拉瓦州农村农户生计和粮食安全的有效途径。研究建议，纳萨拉瓦州农业发展计划（NADP）应与州农业部和农业推广机构合作，通过提供定期农民培训、气候信息和气候智能型农业技术获取渠道来加强推广服务，以促进更广泛的采用并增强家庭粮食安全。","International Journal of Modern Science and Research Technology","2026-09-20T00:00:00Z",56,{"impact":76,"substance":159,"depth":119,"authority":63,"freshness":79,"relevant":21,"comment":276},"尼日利亚地方性实证研究，样本372户、结论明确，但影响范围限于区域，对国内三农信息化参考价值有限，不宜进入每日精选。",[278],{"name":272,"url":269},[201,28,125,86,87],[281,128],"气候智慧农业 农业推广 尼日利亚 粮食安全","气候智慧农业农业推广尼日利亚粮食安全-3059","10.67317\u002Fijmsrt26sep046",{"doi":283,"openalex_id":285,"authors":286,"venue":272,"cited_by_count":35,"oa_url":293,"card":294,"direction":149,"ingested_from":60},"W7213778728",[287,289,291],{"name":288,"orcid":9},"ABDULLAHI YUSUF AGWAI",{"name":290,"orcid":9},"Falalu Mohommed Mohammmed",{"name":292,"orcid":9},"A. S. Ogah","https:\u002F\u002Fijmsrt.com\u002Fstorages\u002Fdownload-paper\u002FIJMSRT26SEP046",{"tldr":295,"method":296,"finding":297,"direction":263,"opportunity":298},"研究尼日利亚纳萨拉瓦州农户采用气候智慧型农业对家庭粮食安全的影响。","混合方法调查，372户问卷加关键知情人访谈，频数百分比分析。","86%受访者认为气候智慧型农业增强了气候韧性，85%报告家庭粮食供应改善。","可探索气候智慧型农业技术采纳的驱动因素与推广机制，或结合数字工具提升气候信息可达性。","2026-09-21T23:30:09.323035Z"]