Assessment of the adoption of agricultural technologies disseminated by community-based agriculture and rural development project in Kwara State, Nigeria
The study Specifically profiled the agricultural technologies disseminated by Community-Based Agriculture and Rural Development Project (CBARDP) extension agents among farmers, determined the level of adoption of agricultural technologies disseminated by CBARDP and examined factors influencing adoption of agricultural technologies with a view of assessing adoption of CBARDP technologies in Kwara state The study was carried out in the nine Local Government Areas of the study area where the CBARDP was staged. A multi-stage sampling procedure was employed to select respondents for the study. Two communities each were selected from the participating LGAs making a total of 18 communities. At the second stage, between nine and 20 respondents were proportionally selected from each community based on the registration of participating farmers in the communities. In all, a total of 270 respondents were selected for the study. Structured interview schedule was used to source for information while, the data were described using frequency counts, percentages, mean and standard deviation. Chi-square, regression and correlation analyses were used to draw inferences from the two hypotheses and factor analysis was used to isolate crucial factors influencing level of adoption. The result of the study showed that mean age was 52.1±6 years, with a majority (74.1%) male participants who had 4.4±4.3 years in education, 69.6 percent were Muslims, and 92.2 percent were married with mean household size of 7±2 people. CBARDP farmers’ adoption level for crops, fishery, poultry, processing and cattle enterprise respectively were moderate.While livestock had a low adoption, orchard had a high adoption level and agro-processing enterprise had 50 percents each for high and low level adoption of technologies among farmers in the study area. It was also revealed that the overall adoption level of technologies among farmers was moderate (66.0%). Chi-square analyses showed that there were significant association between sex(χ2= 23.934; p= 0.01), marital status (χ2= 34.66;p= 0.01), types of farmland (χ2= 222.404; p= 0.01), position held in the organization (χ2=23.429; p= 0.01), nature of farming (χ2= 13.594; p= 0.001),Cosmopoliteness (χ2= 23.583; p= 0.01) and farmers’ level of adoption. Correlation analysis revealed a positive and significant relationship between household size(r= 0.201 p ≤0.05), farm size (H) (r= 0.537; p ≤0.05) and farmers’ adoption of technologies. Furthermore the study revealed a significant correlation between complexity (r= 0.439; p ≤ 0.05) as one of the technology characteristics and farmers’ adoption level. Regression analysis revealed that Complexity (b= -0.181; p ≤0.05), divisibility (b= -0.270; p ≤0.01), compatibility (b= -0.696; p ≤0.01), and year of involvement in farming activities (b= -0.150; p ≤0.05), were significant but negatively contributed to the level of adoption of CBARDP technology among farmers while, only year joined CBARDP (b= 0.082; p≤0.05) had a positive significant contribution to adoption level. Also, seven crucial factors: education, technology characteristic, experience, farm-related, exposure, gender-related and awareness factor had influence on farmers’ level of adoption of technologies. In conclusion, adoption level of CBARDP farmers in Kwara State was found to be moderate (66.0%) and seven crucial factors influenced their level of adoption.