Table 1 The mean correlation (rTBV; EBV) between TBV and 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 | r TBV; EBV ± s.e | r TBV; EBV ± s.e | r TBV; EBV ± s.e |
1N e /M | 0.604 ± 0.012 | 0.611 ± 0.012 | 0.690 ± 0.036 |
2N e /M | 0.639 ± 0.012 | 0.655 ± 0.012 | 0.790 ± 0.036 |
4N e /M | 0.645 ± 0.012 | 0.670 ± 0.012 | 0.841 ± 0.036 |
8N e /M | 0.665 ± 0.012 | 0.681 ± 0.012 | 0.860 ± 0.036 |