ABSTRACT
A time series analysis of adoption of a certain variety of white yam (Dioscorea rotundata), known popularly as Makka kusa, was performed in the Bwari Area Council of Nigeria’s federal Capital Territory to determine the time series in adoption of Makka kusa yam, and determine the forecast of adoption level in the next six years of Makka kusa yam. A three-stage sampling technique involving two of the four Agricultural Development Programme (ADP) blocks and five villages was employed to select 206 yam-farming respondents for this study. A structured questionnaire was used for data collection. Descriptive statistics such as frequencies and means, and the Additive Model for Time Series were employed to achieve the objectives of the study. Majority (83.5%) of farmers were male while 16.5% were female; and majority (68.5%) of the farmers were in their active farming ages (31-50 years; mean = 39 years). Mean years of farming experience was 12 years. The result showed that as income increased over the years, farmers’ age, household size, and years of experience contributed significantly at 99% level. Farmers’ adoption of the yam variety was at its peak in 2016 with adoption increasing by 18.4%. However, using the least squares linear regression method, it was predicted that adoption of Makka kusa yam in the study area would increase by 54% 2023. |
