Application of joint generalized linear models in determining physical support factors that influence crop yield in Northern Ghana

Abstract

Increase in crop yield in many parts of Africa is largely the result of increase in cultivated land. This trend, if allowed to remain, will increase the already high levels of forest depletion. This study attempts to formulate a model useful in examining support systems that influence crop yield in Northern Ghana. Comparison of the Classical Generalized linear model to the Joint Generalized linear models and selection of the very best factors that influence crop yield based on the best of the two models are the points of interest for this study. Data from the regional Monitoring and evaluation office of the linking farmers to market (FtM) project in Tamale Ghana was analysed and discussed. Crop type, Financial Credit, Training, Study tour, Demonstrative Practical, Networking Event, Post-harvest Equipment, number of farmers in the FBO and Size of plot cultivated were our measured fixed effects variables with Total Crop Yield as our response. We settle on the Joint GLM for inference and selects access to credit facility, Crop type, Networking among farmer groups, access to equipment used in post-harvest, the number of farmers on site and size of plot as the most important physical support factors that influence crop yield in Northern Ghana. Stakeholders in the Food and Agricultural sector are advised to give these listed factors the needed attention in the midst of resource scarcity and our quest to increasing yield while minimizing the conversion of our forest lands into farm lands.