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Table 1 Proportion of variance explained by the first 10 principal components (PC) (Exp. var.), and estimates of heritability (± SE) and of the regression coefficient, β, on live weight

From: Modelling the shape of the pig scapula

PC Exp. var. \(\varvec{h}^{2}\) SE \({\varvec{\upbeta}}\)
PC1 0.29 0.52 0.07 − 0.23
PC2 0.17 0.56 0.08 − 1.16
PC3 0.11 0.68 0.07 0.16
PC4 0.09 0.67 0.07 0.64
PC5 0.07 0.50 0.07 − 0.25
PC6 0.04 0.63 0.07 0.19
PC7 0.02 0.78 0.07 − 0.31
PC8 0.01 0.79 0.07 − 0.07
PC9 0.01 0.68 0.07 − 0.03
PC10 0.01 0.40 0.07 0.10
  1. PC principal components of the 3D scapula shape, \(\beta\) = regression coefficient on live weight, correcting for the size of the animals in a genetic analysis