From: EM algorithm for Bayesian estimation of genomic breeding values
Methods | Â | Data I | Data II |
---|---|---|---|
wBSR | p = 0.01 | 0.699 ± 0.007 (0.950 ± 0.005) | 0.843 ± 0.014 (0.961 ± 0.009) |
 | p = 0.05 | 0.730 ± 0.006 (0.947 ± 0.005) | 0.857 ± 0.012 (0.871 ± 0.010) |
 | p = 0.1 | 0.743 ± 0.006 (0.940 ± 0.005) | 0.848 ± 0.014 (0.882 ± 0.016) |
 | p = 0.2 | 0.755 ± 0.006 (0.924 ± 0.005) | 0.820 ± 0.017 (0.795 ± 0.022) |
 | p = 0.5 | 0.760 ± 0.005 (0.868 ± 0.007) | 0.665 ± 0.023 (0.507 ± 0.031) |
 | p = 1.0 | 0.697 ± 0.007 (1.080 ± 0.008) | 0.840 ± 0.015 (0.914 ± 0.017) |
BSR |  | 0.748 ± 0.006 (1.100 ± 0.007) | 0.838 ± 0.015 (0.885 ± 0.019) |
SSVS | p = 0.01 | 0.718 ± 0.007 (1.033 ± 0.006) | 0.887 ± 0.011 (1.002 ± 0.009) |
 | p = 0.05 | 0.747 ± 0.006 (1.036 ± 0.005) | 0.874 ± 0.012 (0.942 ± 0.013) |
 | p = 0.1 | 0.762 ± 0.005 (1.027 ± 0.005) | 0.846 ± 0.014 (0.865 ± 0.018) |
 | p = 0.2 | 0.772 ± 0.005 (1.008 ± 0.005) | n.d. |
 | p = 0.5 | 0.773 ± 0.005 (0.944 ± 0.005) | n.d. |