Sensitivity Analysis and Future Farm Size Projection of Bio-Fortified Cassava Production in Oyo State, Nigeria (Published)
The study examined the costs and returns to bio-fortified cassava production and forecast the future farm size of bio-fortified cassava production in the study area. A multistage sampling technique was used to select 150 respondents in the study area. Primary data were used for the study which were collected through a well-structured questionnaire. Data collected were analyzed using descriptive, Markov chain, and budgetary analysis. The result of the study showed that the mean age of the respondents were 47(±13.77) with a mean years of experience of 14.62(±6.92). the result of the study showed that TMS 01/0593, TMS 01/0539 and TMS 01/0220 were the mostly grown varies of bio-fortified cassava varieties in the study area. The result of the budgetary analysis showed that the average net return (net farm income) from the production of bio-fortified cassava was ₦196710.95 with RORI of 224.95%. The result revealed that at 35% increase in cost of production, the rate of return on investment dropped to 140.70% in which the investment will not be viable. The bio-fortified cassava farmers have a great potential to boost production through increases in farm sizes of the bio-fortified cassava famers until the year 2026 when equilibrium would be attained at about 2.85ha. in other to adequately achieve these goals, more improved varieties of bio-fortified cassava should be provided, and also, infrastructures should be put in place to help boost farmers moral in their cause of production in the study area.
Keywords: Markov-Chain, Oyo State, Sensitivity Analysis, bio-fortified cassava, farm size
Socio-Economic Determinants of Adoption of Bio-Fortified Cassava Varieties among Farmers in Anambra Agricultural Zone of Anambra State, Nigeria (Published)
The study analyzed the socio-economic determinants of adoption of bio-fortified Cassava among cassava farmers in Anambra State, Nigeria. Specifically, the study examined the socio-economic characteristics of the farmers, types and varieties of yellow cassava obtainable in the study area and the influence of socio-economic factors on the adoption of the bio-fortified cassava among the farmers. Multi-stage, purposive and simple random sampling techniques were used to select one hundred and twenty (120) Cassava farmers used for the Study. Data for the study was collected by administration of pre-tested questionnaire to the respondent farmers and analyzed using both descriptive (frequencies and means) and inferential statistics (maximum likelihood probit regression model). Among other results, the probit regression analysis of factors that influence the adoption of bio-fortified cassava among farmers reveals that education (3.1160) and access to planting material (5.0162) were positively significant at 1%, farm size( 1.1114) at 10% and membership of cooperative society (1.3424) and extension contact (3.134) were significant at 5% level. This implies that increases in these factors will lead to more adoption of bio-fortified cassava among the farmers in the study area. Based on the findings, the researchers recommend among others that government should endeavour to increase the multiplication of the planting material, make it available to farmers for production and create a sustainable market out let if optimum production is desired.
Keywords: Determinants, Socio-Economics, bio-fortified cassava, probit regression