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 best |
---|---|---|---|---|---|---|---|---|
Parametric | 0.33 ± 0.01 | 0.21 ± 0.01 | 0.69 | - | 0.55 | - | 0.64 | - |
BRR (−2,-2) | 0.25b ± 0.06 | 0.17 ± 0.04 | 0.69b ± 0.02 | 1.36b ± 0.24 | 0.42 ± 0.03 | 0.83b ± 0.18 | 0.67b | 5 |
IBLASSO (4,-2) | 0.24b ± 0.07 | 0.18 ± 0.04 | 0.69b ± 0.02 | 1.44b ± 0.30 | 0.41 ± 0.04 | 0.79b ± 0.20 | 0.74 | 4 |
IBLASSO (4,2) | 0.25b ± 0.07 | 0.15 ± 0.04 | 0.69b ± 0.03 | 1.35b ± 0.27 | 0.42 ± 0.04 | 0.90b ± 0.26 | 0.61b | 5 |
BAYESA*B* (−2,6) | 0.26b ± 0.07 | 0.14 ± 0.03 | 0.69b ± 0.03 | 1.31b ± 0.26 | 0.42 ± 0.04 | 0.97b ± 0.03 | 0.55 | 4 |
BAYESA*B* (4,6) | 0.26b ± 0.07 | 0.14 ± 0.04 | 0.69b ± 0.03 | 1.31b ± 0.26 | 0.42 ± 0.04 | 0.96b ± 0.28 | 0.55 | 4 |
BAYESA*B* (−2,8) | 0.26b ± 0.07 | 0.14 ± 0.04 | 0.69b ± 0.03 | 1.29b ± 0.25 | 0.42 ± 0.04 | 0.99b ± 0.30 | 0.53 | 4 |
RR-HET (-2,–2) | 0.23 ± 0.07 | 0.17 ± 0.04 | 0.69b ± 0.02 | 1.44b ± 0.30 | 0.41 ± 0.04 | 0.80b ± 0.20 | 0.74 | 3 |
BLASSO (4,2) | 0.23 ± 0.08 | 0.21 ± 0.06 | 0.68b ± 0.03 | 1.37b ± 0.35 | 0.41 ± 0.03 | 0.86b ± 0.26 | 0.88 | 4 |
G-BLUP | 0.25b ± 0.06 | 0.19 ± 0.04 | 0.70b ± 0.02 | 1.25b ± 0.03 | 0.46b ± 0.02 | 0.94b ± 0.20 | 0.76 | 6 |
Pedigree | 0.20 ± 0.02 | 0.13 ± 0.01 | 0.45 ± 0.03 | 0.84b ± 0.11 | 0.08 ± 0.03 | 0.24 ± 0.10 | - | 1 |