Adoption of Climate Smart Agricultural Technologies and Practices in Drylands in Uganda: Evidence from a Microlevel Study in Nakasongola District

  • Rhoda Nakabugo
  • Isolo Paul Mukwaya
  • Sabiiti Geoffrey
Part of the Climate Change Management book series (CCM)


Agriculture is the most important sector in Uganda’s economy, but it continues to experience challenges of erratic rainfall variability and environmental degradation. This paper is situated within post-structuralist geographical thought to (i) classify CSA practices and (ii) empirically quantify the relative importance of household socio-economic factors that structure the adoption of CSA practices in drylands in Uganda. The study was carried out in Nakasongola District in Central Uganda, and 143 geo-referenced questionnaires were used to collect relevant farming household and CSA data. Results indicated that timely planting, crop rotation, intercropping, and proper spacing were the most prevalent CSA practices, while rotational grazing, mulching, fertilizer use, and use of pesticides and herbicides were the least prevalent practices. Principal component analysis (PCA) generated a factor solution, and the components were clustered into three CSA practices: crop management, conservation agriculture, and land management practices. There are important differences in the propensity of households living in village settings to adapt. Parameter estimates indicated that the size of household, household income diversity index, access to pesticide uses, fertilizers, extension services, domestic water sources, improved seeds, credit, main decision-maker in the household, and education levels of the head of the household significantly influence (p < 0.05) the adoption of CSA practices.


Climate-smart agriculture Adoption Farming households Nakasongola Uganda 



This research forms part of the Climate and Water Resources Centre, Department of Geography, Geo-informatics and Climatic Sciences (, research agenda. We would like to thank the Regional Capacity Building for Sustainable Natural Resource Management and Agricultural Productivity under Climate Change (CAPSNAC) for funding this study. Any errors herewith are the responsibility only of the authors, and this paper reflects the opinions of the authors and not the institutions which they represent or with which they are affiliated.


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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Rhoda Nakabugo
    • 1
  • Isolo Paul Mukwaya
    • 1
  • Sabiiti Geoffrey
    • 1
    • 2
  1. 1.Department of Geography, Geo-informatics and Climatic SciencesSchool of Forestry, Environment and Geographical Sciences, Makerere UniversityKampalaUganda
  2. 2.IGAD Climate Prediction and Applications CentreNairobiKenya

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