Figure 5

Principal component analysis (PCA) of twelve traits with 120 genotypes showing principal components (PC) with eigenvalues and variation percentage explained by each PC (a), contribution of each trait to potential PCs (b), score plot of 120 observations as revealed by first principal component (PC1) along x-axis with eigenvalue (5.27) and variation explained (44%) by PC1. Perpendicular to PC1, along y-axis is the second principal component (PC2) having eigenvalue (3.26) and variation explained (27%) by PC2 (c). Loading plot of first two components (d) is showing two dimensional spread of variables as vectors; trait legends are same as in Table 1.