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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...

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Detalles Bibliográficos
Autores principales: Alhassan, Abukari, Salifu, Hussein, Adebanji, Atinuke O.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5016495/
https://www.ncbi.nlm.nih.gov/pubmed/27652087
http://dx.doi.org/10.1186/s40064-016-3196-z
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author Alhassan, Abukari
Salifu, Hussein
Adebanji, Atinuke O.
author_facet Alhassan, Abukari
Salifu, Hussein
Adebanji, Atinuke O.
author_sort Alhassan, Abukari
collection PubMed
description 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.
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spelling pubmed-50164952016-09-20 Discriminant analysis of farmers adoption of improved maize varieties in Wa Municipality, Upper West Region of Ghana Alhassan, Abukari Salifu, Hussein Adebanji, Atinuke O. Springerplus Research 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. Springer International Publishing 2016-09-08 /pmc/articles/PMC5016495/ /pubmed/27652087 http://dx.doi.org/10.1186/s40064-016-3196-z Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Research
Alhassan, Abukari
Salifu, Hussein
Adebanji, Atinuke O.
Discriminant analysis of farmers adoption of improved maize varieties in Wa Municipality, Upper West Region of Ghana
title Discriminant analysis of farmers adoption of improved maize varieties in Wa Municipality, Upper West Region of Ghana
title_full Discriminant analysis of farmers adoption of improved maize varieties in Wa Municipality, Upper West Region of Ghana
title_fullStr Discriminant analysis of farmers adoption of improved maize varieties in Wa Municipality, Upper West Region of Ghana
title_full_unstemmed Discriminant analysis of farmers adoption of improved maize varieties in Wa Municipality, Upper West Region of Ghana
title_short Discriminant analysis of farmers adoption of improved maize varieties in Wa Municipality, Upper West Region of Ghana
title_sort discriminant analysis of farmers adoption of improved maize varieties in wa municipality, upper west region of ghana
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5016495/
https://www.ncbi.nlm.nih.gov/pubmed/27652087
http://dx.doi.org/10.1186/s40064-016-3196-z
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