Heterogeneity in integration of greenhouse gas mitigating interventions among rural and Peri-urban smallholder dairy farms in Nakuru County, Kenya
ケニアのナクル県における農村部および都市周辺の小規模酪農場における温室効果ガス削減介入の統合の不均一性 (AI 翻訳)
Selloane Sekhants’a, James Ombiro Ondiek, Bockline Omedo Bebe
🤖 gxceed AI 要約
日本語
ケニアの小規模酪農家291戸を調査し、GHG削減介入の統合パターンをクラスター分析で3類型に分類。高・中・低削減農家で実践数に差があり、飼料添加物や糞尿管理の普及が低いことを指摘。気候スマート農業の普及には介入の不均一性を考慮したアプローチが必要と示唆。
English
Survey of 291 smallholder dairy farms in Kenya identified three clusters of GHG mitigation integration: low, average, and high. High-mitigation farms practiced more interventions, but feed additives and manure management were underutilized. The study highlights heterogeneity in adoption and suggests entry points for extension services to promote climate-smart livestock practices.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本の畜産分野におけるGHG削減策(飼料改善、糞尿管理)の普及を考える上で、農家間の不均一性を考慮した普及戦略の重要性を示す。日本の畜産農家への適用には、地域特性や経営規模に応じた介入の選択が参考になる。
In the global GX context
Contributes to global understanding of GHG mitigation adoption in smallholder dairy systems, relevant for climate-smart agriculture policies in developing countries. Provides empirical evidence on heterogeneity that can inform targeted extension and policy design for livestock emissions reduction.
👥 読者別の含意
🔬研究者:Provides empirical evidence on heterogeneity in adoption of GHG mitigation practices among smallholder dairy farms, useful for designing targeted interventions.
🏢実務担当者:Highlights underutilized interventions like feed additives and manure management, suggesting entry points for extension services and farm-level improvements.
🏛政策担当者:Informs agricultural extension and climate policy by showing that smallholder farms are responsive but require differentiated approaches based on adoption levels.
📄 Abstract(原文)
Dairy production is a priority livestock system for reduction of greenhouse gas (GHG) emissions and is a target of a number of GHG mitigating interventions (GHG-MI) recommendations. However, uncertainty exist regarding how smallholders are integrating these GHG-MI, which include improving feeding, breeding, health and welfare, and manure management. This study tested hypothesis that integration of GHG-MI is heterogeneous in smallholder dairy farms. A sample of 291 farms were obtained in a cross-sectional survey in rural and peri-urban wards around Nakuru city, Kenya. Frequency data on practicing a GHG-MI were subjected to Principal Component Analysis followed by Cluster Analysis to derive distinct clusters, resulting in three clusters: cluster one and two each comprising 36.8 % and cluster three 26.4 % of the farms. These were respectively labelled low (LM), average (AM) and high (HM) mitigating farms based on the number of GHG-MI frequently practiced by atleast half of the farms. The majority of the HM farms frequently practiced most of the GHG-MI and LM farms practiced the least. Out of 11 feeding practices examined, atleast 6 in 10 HM farms frequently practiced four whereas atleast 5 in 10 of AM or LM farms frequently practiced two. In examining selection for six traits, five were frequently selected by at least 8 in 10 of HM farms whereas atleast 5 in 10 of AM or LM farms only frequently selected two traits. Of seven good animal health and welfare practices examined, all were frequently practiced by atleast 6 in 10 of HM farms. Among AM and LM farms, atleast 5 in 10 practiced six good animal health and welfare. While dry-lot manure storage was only a frequent practice on AM farms, manure spreading on land was a more frequent practice across all clusters. These findings reveal that smallholder dairy farms are responsive to mitigating GHG emissions, however heterogeneity in their integration of GHG-MI warrants research to compare HM with the AM and LM farms. Feed additives and effective manure management should be entry points for extension service promoting climate-smart livestock interventions, because only a few farms used them, though are effective GHG-MI in dairy systems.
🔗 Provenance — このレコードを発見したソース
- crossref https://doi.org/10.3389/fclim.2026.1900256first seen 2026-08-16 06:02:31
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