14 pages, This paper seeks to assess the factors influencing the adoption of the improved crop management practices (ICMP) in Boane District in Mozambique. The study was carried out using a qualitative survey method with a semi-structured interview schedule. Regression analysis and Pearson correlations were used to analyse the factors, constraints, and opportunities influencing the adoption of the improved crop management practices. The study covered a sample of 50 households. The results of the study show that the majority of the farmers (68%) in the Boane District adopted the improved crop management practices, compared to those who did not adopt them (32%). According to the logistic regression analysis, two factors (age and access to credit) were significant (p<0.05) at the 5% level of significance with the adoption of ICMP, meaning that age and access to credit have an influence on the adoption of the improved crop management practices in the Boane District. The study recommended that the Agricultural Development Fund and the district development should solve the challenge of low financial investments, which is the major problem of most smallholder farmers, limiting their response to the production process, and to adopting the improved crop management practices in the Boane District.
13 Pages, This research was conducted to assess socio-economic factors influencing adoption of conservation agriculture in Moroto District of Uganda. The socio-economic factors, the level of conservation agriculture, and the constraints faced by the farmers were assessed. A cross-sectional research design was utilised to collect data from 80 farmers (adopters and non-adopters of conservation agriculture). Purposive random sampling was applied to select seven key informants in the two sub-counties of Katikekile and Nadunget, and four villages of Nakodet, Nakwanga, Napudes and Komare. Data were collected through personal observation, interviews, focus group discussions, and structured questionnaires. The Statistical Package for Social Sciences (SPSS) was used to generate descriptive and inferential statistics for quantitative data analysis. The binary probit model was used to determine the socio-economic factors influencing adoption of conservation agriculture. The findings indicate that there was a significant influence for gender (p<0.01), but a statistically significant influence for credit and extension services (p<0.05). Finally, the adoption rate of conservation agriculture is still low given the size of land dedicated to it by most farmers. Therefore, this study recommends that government and other institutions should strengthen the agricultural extension system, provide financial support and incentives, and sensitize farmers on conservation agriculture.
