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Alhassan A, Salifu H, Adebanji AO. Discriminant analysis of farmers adoption of improved maize varieties in Wa Municipality, Upper West Region of Ghana. Springerplus. 2016;5(1):1514doi: 10.1186/s40064-016-3196-z.
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), 1514. https://doi.org/10.1186/s40064-016-3196-z
Alhassan, Abukari, et al. "Discriminant analysis of farmers adoption of improved maize varieties in Wa Municipality, Upper West Region of Ghana." SpringerPlus vol. 5,1 (2016): 1514. doi: https://doi.org/10.1186/s40064-016-3196-z
Alhassan A, Salifu H, Adebanji AO. Discriminant analysis of farmers adoption of improved maize varieties in Wa Municipality, Upper West Region of Ghana. Springerplus. 2016 Sep 08;5(1):1514. doi: 10.1186/s40064-016-3196-z. eCollection 2016. PMID: 27652087; PMCID: PMC5016495.
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Springerplus. 2016 Sep 08;5(1):1514. doi: 10.1186/s40064-016-3196-z. eCollection 2016.

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

SpringerPlus

Abukari Alhassan, Hussein Salifu, Atinuke O Adebanji

Affiliations

  1. Department of Statistics, Faculty of Mathematical Sciences, University for Development Studies, P.O. Box 24, Navrongo, U/E Region Ghana.
  2. Department of Mathematics, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.

PMID: 27652087 PMCID: PMC5016495 DOI: 10.1186/s40064-016-3196-z

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.

Keywords: Adoption; Discriminant analysis; Quadratic classification; Varietal attributes

References

  1. Sensors (Basel). 2012 Dec 12;12(12):17234-46 - PubMed

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