SpringerPlus · 2016 · 18 citations · 16 references
AgricultureAgricultural EducationAgronomyAgricultural DevelopmentCrop ImprovementCrop ProductionAgricultural ExtensionLabor Use In AgricultureYield ImprovementAdoption Of FarmingFarmer Adoption BehaviorFarmer Varietal SelectionLinear Discriminant AnalysisQuadratic Discriminant AnalysisStatistical Discriminant Analysis
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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Applied Multivariate Statistical Analysis.
Andrea Johnson, Dean W. Wichern · Biometrics · 1988 · 11.4K citations
Estimation of Error Rates in Discriminant Analysis
Peter A. Lachenbruch, M. R. Mickey · Technometrics · 1968 · 1.5K citations
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Charles L. Dunn, Richard A. Johnson, Dean W. Wichern · Technometrics · 1989 · 1.1K citations