Socio-demographic and economic factors influencing the adoption of dairy breeding technologies in Tanzania

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Research Paper 07/03/2025
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Socio-demographic and economic factors influencing the adoption of dairy breeding technologies in Tanzania

Emmanuel Sailevu, Esther Kimaro, Athumani Nguluma
Int. J. Biosci. 26(3), 94-103, March 2025.
Copyright Statement: Copyright 2025; The Author(s).
License: CC BY-NC 4.0

Abstract

Worldwide, improved dairy breeding technologies are expanding and increasing dairy cattle production. However, socio-demographic and economic factors influencing the adoption of dairy breeding technologies are not well evidenced. This study used a cross-sectional survey design with quantitative research approach to assess the socio-demographic and economic factors influencing the adoption of dairy breeding technologies in the Eastern zone of Tanzania. Sample size was 10% of 793 being 79.3 = 79 for Kinondoni, and 10% of 711 being 71.1 = 71 for Bagamoyo. The total sample size for this study was, 150 smallholder dairy farmers selected using stratified random and systematic sampling techniques. Data was collected using a survey questionnaire in the Kobo Collect Tool. Among the investigated socio-demographic and economic characteristics, only age group and herd size were found to be significantly associated with the adoption of artificial insemination (AI) technologies. Furthermore, geographical region was a significant predictor of AI adoption, whereby farmers in Dar es Salaam region (Kinondoni district) were more likely to adopt AI compared to those from the Coast region (Bagamoyo district). The findings emphasize the need for increased accessibility to advanced breeding methods and extension services that contributing to the overall improvement of the dairy industry in Tanzania and similar contexts globally.

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