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Adoption of Recommended Maize Production Practices and Productivity Among Farmers in Morogoro District, Tanzania

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Abstract

The chapter is based on a study that aimed at assessing the adoption of recommended maize production practices and productivity between farmers who were members of Farmer Field Schools (FFSs) and those who were not. The study was conducted in Morogoro District, Tanzania. Specifically, the study aimed at identifying FFS recommended maize production technologies; determining socio-economic factors influencing farmers’ adoption of the technologies; and comparing maize productivity and income between households involved in FFS and those that are not. Lastly, it determined the contribution of maize sales to the household incomes of the two groups. The study adopted a cross-sectional research design whereby data was collected from 166 individuals through household surveys, focus group discussions and key informant interviews. Quantitative data was analysed using the Statistical Package for Social Science (SPSS), whereby descriptive statistics such as frequencies and percentages were determined. A logistic regression model was used to determine the association of socio-economic factors and the adoption of FFS technologies. Study findings show that age, education, household income and farm size significantly influenced the adoption of recommended FFS practices. Results also show that farmers who participated in the FFS had a higher maize productivity and maize sales were the main source of income in the study area. Thus, extension agents need to do more to encourage more farmers to join FFS so as to get access to improved maize technologies which will enable them to raise their maize productivity and ultimately their income and general living standards.

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Gahanga, C.J., Urassa, J.K. (2019). Adoption of Recommended Maize Production Practices and Productivity Among Farmers in Morogoro District, Tanzania. In: Bamutaze, Y., Kyamanywa, S., Singh, B., Nabanoga, G., Lal, R. (eds) Agriculture and Ecosystem Resilience in Sub Saharan Africa. Climate Change Management. Springer, Cham. https://doi.org/10.1007/978-3-030-12974-3_4

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