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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