Divergence in the dry bean collection by Principal Component Analysis (PCA)

Abstract

We studied the divergence of our beans collection. The study included two qualitative traits, grain color and shape, and 13 quantitative traits, namely three components of plant height, five direct yield components and five chemical properties of grain. The principal component analysis (PCA) showed which of the traits were decisive in genotype differentiation. The principal components were formed based on the correlation matrix and shown through unrotated and rotated values of trait correlation with the main axes. The percentage contribution of particular principal components to total variability was shown, as was the accumulation of variability. The variability of the collection was interpreted based on the seven principal components, the first one describing genotype productivity, the second grain shape, the third grain size, the fourth genotype harvestability and the last three describing the chemical composition of grain. .