From: Ridge, Lasso and Bayesian additive-dominance genomic models
Method | h2a | h2d | cor_a | byg_a | cor_d | byg_d | Vd/Va | Number of criteria scored as best |
---|---|---|---|---|---|---|---|---|
Parametric | 0.21 ± 0.01 | 0.10 ± 0.01 | 0.68 | - | 0.48 | - | 0.48 | - |
BRR (−2,-2) | 0.15b ± 0.05 | 0.12b ± 0.05 | 0.63b ± 0.03 | 1.40 ± 0.33 | 0.31b ± 0.07 | 0.57b ± 0.23 | 0.77 | 5b |
IBLASSO (4,-2) | 0.12 ± 0.06 | 0.14 ± 0.05 | 0.62b ± 0.03 | 2.41 ± 1.82 | 0.28 ± 0.06 | 0.46 ± 0.24 | 1.19 | 1 |
IBLASSO (4,2) | 0.14 ± 0.06 | 0.10b ± 0.06 | 0.63b ± 0.03 | 1.86 ± 1.14 | 0.29b ± 0.06 | 0.63b ± 0.42 | 0.81 | 4 |
BAYESA*B* (−2,6) | 0.15b ± 0.06 | 0.10b ± 0.05 | 0.63b ± 0.03 | 1.51 ± 0.57 | 0.29b ± 0.06 | 0.69b ± 0.42 | 0.67 | 5b |
BAYESA*B* (4,6) | 0.15b ± 0.06 | 0.10b ± 0.05 | 0.63b ± 0.03 | 1.49b ± 0.56 | 0.29b ± 0.06 | 0.71b ± 0.43 | 0.65 | 6b |
BAYESA*B* (−2,8) | 0.15b ± 0.05 | 0.09b ± 0.05 | 0.63b ± 0.03 | 1.44b ± 0.47 | 0.29b ± 0.06 | 0.72b ± 0.42 | 0.61b | 7b |
RR-HET (-2–2) | 0.11 ± 0.06 | 0.14 ± 0.05 | 0.62b ± 0.03 | 2.43 ± 1.74 | 0.28 ± 0.05 | 0.44 ± 0.23 | 1.24 | 1 |
BLASSO (4,2) | 0.17b ± 0.09 | 0.13 ± 0.02 | 0.63b ± 0.03 | 1.44 ± 0.65 | 0.29b ± 0.05 | 3.20 ± 5.34 | 0.74 | 3 |
G-BLUP | 0.15b ± 0.05 | 0.13 ± 0.06 | 0.63b ± 0.03 | 1.25b ± 0.35 | 0.31b ± 0.04 | 0.70b ± 0.30 | 0.83 | 5b |
Pedigree | 0.16b ± 0.03 | 0.07 ± 0.01 | 0.53 ± 0.03 | 0.96b ± 0.19 | 0.05 ± 0.02 | 0.20 ± 0.11 | - | 2 |