Discriminant analysis of farmers adoption of improved maize varieties in Wa Municipality, Upper West Region of Ghana

12Citations
Citations of this article
41Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

This study employed the quadratic classification function analysis to examine the influence of farmer’s socio-demographic and varietal characteristics of maize on adoption of improved maize varieties (IMVs) in the Wa Municipality of the Upper West region of Ghana. The results showed that, farm labour, information availability about the variety, weed resistance, low yielding variety, early maturity and water stress resistance are the major discriminating variables in classifying farmers in the Municipality. The study however revealed that maize experience, low yield, information availability and cost of variety were the most influential discriminating variables between adopters and non-adopters of IMVs. The study recommended the need to improve on the level of farmers’ education, ensure steady access to extension services and improvement in varietal characteristics identified in the study.

Cite

CITATION STYLE

APA

Alhassan, A., Salifu, H., & Adebanji, A. O. (2016). Discriminant analysis of farmers adoption of improved maize varieties in Wa Municipality, Upper West Region of Ghana. SpringerPlus, 5(1). https://doi.org/10.1186/s40064-016-3196-z

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free