Abstract— The present study was conducted to study the variability among the genotypes by Principal Component Analysis (PCA) in order to select those that are most suitable for breeding programme. This study included ten quantitative traits. The result of principal component analysis showed that the first four principal components with Eigen value greater than 0.88 contributed about 76.10 per cent of total variation in the population. The variability of the genotypes was interpreted based on four principal components, the first principal component described the yield level, the second principal component described the productivity and quality and the last two principal components described the quality of the fodder which indicating that the identified traits within the axes exhibited great influence on the phenotype and this could be effectively used for selection among the tested entries for further development of Guinea grass varieties with improved fodder yield and quality.
Keywords— Principal Component Analysis, Quantitative traits, Variability, Germplasm, Guinea grass.
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