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IMPACT OF KOGI STATE SURVIVAL FARMING INTERVENTION PROGRAMME ON CASSAVA PRODUCTION IN THREE LOCAL GOVERNMENT AREAS, KOGI STATE, NIGERIA
ABSTRACT
This study was on Impact of Kogi Agricultural Development Project Survival Farming Intervention Programme on Cassava Production in Adavi, Okehi and Okene Local Government Areas of Kogi State and it also determine the factors that influence participation in SFIP. A multi-stage sampling technique was used to select respondents for the study. A total of one hundred and eighty (180) respondents comprising of ninety (90) participants and ninety (90) non-participants were interviewed with the aid of structured questionnaire which was also administered on ten (10) officials of SFIP to obtained vital information. Analytical tools used were both descriptive (frequency distribution tables, percentages and mean) and inferential statistics (logit regression and chow-test statistical tool). Attitudinal measuring scale such as likert-scale was also used. The results of the analysis obtained shows that majority of the respondents, 66% of the participants, 65% of the non-participants and 70% of the officials were within the age range of 36 – 55 years. Almost all the respondents are married with just few divorced and widowed. More also, about 12.2% of the participants and 47.8% of the nonparticipants had no formal education, while 76.6%, 52.2% and 60% of the participants, non-participants and the officials, respectively attended primary and secondary schools with only 7.8% of the participants and 40% of the officials who attended tertiary institutions. Based on the empirical evidence emanating from this study, planting material, access to credit, extension contact and training components of SFIP ranked 1st , 2 nd and 3rd respectively, among the highly aware and most used by the participants. Logit regression analysis showed R2 of 0.67969 meaning that about 68% of the variation in the participation of SFIP are been explained by the independent variables in the model. Age (X1), Marital status (X2), Labour (X4), Education (X5), Household (X7), Awareness (X10), Extension contact (X12), Cooperative (X13) and Planting material (X14) had positive coefficients and direct relationship with participation in SFIP implying that one unit increase in their variable coefficient will result to an increase in level of participation. Chow test F-calculated for output, yield, income and level of living were 16.31, 16.65, 21.06 and 28.01 respectively, while that of F-tabulated value for 9 degree of freedom with sample size of 180 was 1.83 at 5% level of probability, hence there was significant impact of SFIP on cassava production output, yield, income and level of living of the participants in the study area. All the null hypotheses were rejected while the alternative hypotheses were accepted. Major constraints identified by the participants were poor road network (67.8%) and poor market for products (40.0%) while majority (90.0%) of the officials attested to poor extension to farmers‟ ratio as a major constraint to effective implementation of SFIP in the study area. In overall, there was significant impact of SFIP on cassava production in the study area, hence it is recommended that the programme scaled-up and replicated in other LGAs and States in the country including FCT, Abuja.
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