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Table 3 Total variance explained by component

From: Machine learning for high-throughput field phenotyping and image processing provides insight into the association of above and below-ground traits in cassava (Manihot esculenta Crantz)

Component

Total variance

PC1

0.556

PC2

0.145

PC3

0.061

PC4

0.038

PC5

0.027

PC6

0.018

PC7

0.014

PC8

0.014

PC9

0.011

PC10

0.009