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

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 labou...

Full description

Saved in:
Bibliographic Details
Published in:SpringerPlus 2016-09, Vol.5 (1), p.1514-1514, Article 1514
Main Authors: Alhassan, Abukari, Salifu, Hussein, Adebanji, Atinuke O.
Format: Article
Language:English
Subjects:
Humanities and Social Sciences
multidisciplinary
Science
Science (multidisciplinary)
Statistics
Zea mays
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:2193-1801
2193-1801
DOI:10.1186/s40064-016-3196-z