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

Clicks: 342
ID: 102595
2016
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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.
Reference Key
alhassan2016discriminantspringerplus Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Alhassan, Abukari;Salifu, Hussein;Adebanji, Atinuke O;
Journal SpringerPlus
Year 2016
DOI
10.1186/s40064-016-3196-z
URL
Keywords
adoption discriminant analysis quadratic classification varietal attributes

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