Factors influencing adoption of climate-smart livestock practices in eastern Africa: insights from Uganda

Introduction Climate-smart livestock (CSL) practices have the potential to boost food production while improving the resilience and environmental sustainability of agricultural systems in sub-Saharan Africa. However, their adoption rates in the region remain low. Focusing on Uganda as a case study, multivariate Probit and Tobit regression models were applied to determine the factors influencing the adoption of CSL practices by dairy farmers. Methods Data were collected from 626 cattle-keeping households located in southwestern, central and eastern Uganda. The Adoption and Diffusion Outcome Prediction Tool (ADOPT) was used to predict the peak adoption levels and the number of years to reach these for CSL practices. The CSL practices identified and considered were forage cultivation, artificial insemination, routine vaccination and planting trees. Results and Discussion The results showed that 37%, 14%, 45% and 19% of cattle-keeping households grew forage, used artificial insemination, carried out routine vaccination and planted trees respectively. Forage cultivation, artificial insemination use and planting trees were positively and significantly influenced by access to credit and keeping farm records. Use of artificial insemination was associated with higher milk revenues. The household head’s education level significantly influenced both the area allocated to forage cultivation and the number of trees planted. Households that allocated a large portion of their land to grazing cattle were less likely to grow forage and use artificial insemination. The number of trees planted was positively and significantly influenced by the age of the household head, household size, keeping farm records, access to credit and total adult equivalent (total number of working hours among adults per household). Forage cultivation and use of artificial insemination were practiced interdependently, pointing to the existence of complementarities and synergies between these two practices. The complementarities and synergies between both practices should be explored for increased adoption. Conclusion CSL practices should be introduced as a package of practices rather than as stand-alone practices, as their complementarities can enhance adoption. Development programs and policies should focus on improving access to credit, while investing in capacity building for record keeping, to increase the likelihood for adoption and intensification of CSL in the region.

Authors

Institutions

Publication Details

Journal
Frontiers in Sustainable Food Systems
Published
2026-04-13
DOI
https://doi.org/10.3389/fsufs.2026.1718334
Primary Topic
Agricultural Innovations and Practices
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Factors influencing adoption of climate-smart livestock practices in eastern Africa: insights from Uganda

Christian Adjogo Bateki, Samuel Tumwesigye, Roland Mugumya, Isabelle Baltenweck et al.
Frontiers in Sustainable Food Systems
Agricultural Innovations and Practices
article

Factors influencing adoption of climate-smart livestock practices in eastern Africa: insights from Uganda

Christian Adjogo Bateki, Samuel Tumwesigye, Roland Mugumya, Isabelle Baltenweck, William Matovu, Eva Schlecht, A. Ndambi, Immaculate Omondi
article en

Abstract

Introduction Climate-smart livestock (CSL) practices have the potential to boost food production while improving the resilience and environmental sustainability of agricultural systems in sub-Saharan Africa. However, their adoption rates in the region remain low. Focusing on Uganda as a case study, multivariate Probit and Tobit regression models were applied to determine the factors influencing the adoption of CSL practices by dairy farmers. Methods Data were collected from 626 cattle-keeping households located in southwestern, central and eastern Uganda. The Adoption and Diffusion Outcome Prediction Tool (ADOPT) was used to predict the peak adoption levels and the number of years to reach these for CSL practices. The CSL practices identified and considered were forage cultivation, artificial insemination, routine vaccination and planting trees. Results and Discussion The results showed that 37%, 14%, 45% and 19% of cattle-keeping households grew forage, used artificial insemination, carried out routine vaccination and planted trees respectively. Forage cultivation, artificial insemination use and planting trees were positively and significantly influenced by access to credit and keeping farm records. Use of artificial insemination was associated with higher milk revenues. The household head’s education level significantly influenced both the area allocated to forage cultivation and the number of trees planted. Households that allocated a large portion of their land to grazing cattle were less likely to grow forage and use artificial insemination. The number of trees planted was positively and significantly influenced by the age of the household head, household size, keeping farm records, access to credit and total adult equivalent (total number of working hours among adults per household). Forage cultivation and use of artificial insemination were practiced interdependently, pointing to the existence of complementarities and synergies between these two practices. The complementarities and synergies between both practices should be explored for increased adoption. Conclusion CSL practices should be introduced as a package of practices rather than as stand-alone practices, as their complementarities can enhance adoption. Development programs and policies should focus on improving access to credit, while investing in capacity building for record keeping, to increase the likelihood for adoption and intensification of CSL in the region.

Frontiers in Sustainable Food SystemsVol. 10
Department of Animal Husbandry (IN), Heifer International (US), Wageningen University & Research (NL), KU Leuven (BE)
Zero hunger
Openalex Percentile: Top 27%
Agricultural Innovations and Practices
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.