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
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 |