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Table 2 The mean regression coefficient (bTBV; EBV) between TBV on EBV using principal component regression (PCR), partial least square regression (PLSR) and the 'BayesB' method for different marker densities, averaged over 20 replicates.

From: Reducing dimensionality for prediction of genome-wide breeding values

 

PCR

PLSR

'BayesB'

Marker density

b TBV; EBV ± s.e

b TBV; EBV ± s.e

b TBV; EBV ± s.e

1N e /M

0.650 ± 0.012

0.758 ± 0.013

0.877 ± 0.013

2N e /M

0.683 ± 0.012

0.725 ± 0.013

0.879 ± 0.013

4N e /M

0.695 ± 0.012

0.754 ± 0.013

0.943 ± 0.013

8N e /M

0.691 ± 0.012

0.655 ± 0.013

0.923 ± 0.013

  1. The standard errors (s.e) shown are derived from the pooled variance between replicates within each evaluation method.