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Table 2 Total variance explained by principal component analysis (PCA) was performed by using data of sample size N , genetic indices ( P , A , and He ), climatic ( T , RA , and HU ), and geographical ( AL , LA , and LN ) as variables according to Pearson’s correlation (one-tailed) matrix with Eigen values, percentage of variance and cumulative percentage of variance

From: Genetic diversity in populations of Isatis glauca Aucher ex Boiss. ssp. from Central Anatolia in Turkey, as revealed by AFLP analysis

Component Eigen value Variance (%) Cumulative variance (%)
1 3.72 37.15 37.15
2 2.95 29.45 66.59
3 1.90 19.03 85.62