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 | 0.20 ± 0.01 | 0.13 ± 0.01 | 0.65 | - | 0.53 | - | 0.64 | - |
BRR (−2,-2) | 0.13b ± 0.03 | 0.12b ± 0.06 | 0.63b ± 0.03 | 1.53b ± 0.29 | 0.33 ± 0.04 | 0.65 ± 0.22 | 0.94 | 4b |
IBLASSO (4,-2) | 0.10 ± 0.04 | 0.14b ± 0.05 | 0.64b ± 0.03 | 3.49 ± 4.49 | 0.31 ± 0.04 | 0.55 ± 0.24 | 1.44 | 2 |
IBLASSO (4,2) | 0.12b ± 0.04 | 0.11b ± 0.05 | 0.63b ± 0.03 | 2.26 ± 2.22 | 0.32 ± 0.05 | 0.71b ± 0.33 | 0.93 | 4b |
BAYESA*B* (−2,6) | 0.13b ± 0.04 | 0.10 ± 0.04 | 0.63b ± 0.03 | 1.53b ± 0.53 | 0.33 ± 0.04 | 0.80b ± 0.32 | 0.73 | 4b |
BAYESA*B* (4,6) | 0.13b ± 0.04 | 0.10 ± 0.04 | 0.63b ± 0.03 | 1.54b ± 0.53 | 0.33 ± 0.04 | 0.79b ± 0.32 | 0.74 | 4b |
BAYESA*B* (−2,8) | 0.14b ± 0.04 | 0.09 ± 0.04 | 0.63b ± 0.03 | 1.47b ± 0.48 | 0.33 ± 0.04 | 0.83b ± 0.33 | 0.68b | 5b |
RR-HET (-2–2) | 0.10 ± 0.04 | 0.14b ± 0.05 | 0.64b ± 0.03 | 3.43 ± 4.38 | 0.31 ± 0.04 | 0.55 ± 0.24 | 1.43 | 2 |
BLASSO (4,2) | 0.10 ± 0.03 | 0.16 ± 0.07 | 0.63b ± 0.04 | 1.91 ± 0.82 | 0.32 ± 0.05 | 0.76b ± 0.61 | 1.63 | 2 |
G-BLUP | 0.14b ± 0.03 | 0.13b ± 0.03 | 0.64b ± 0.04 | 1.26b ± 0.21 | 0.38b ± 0.04 | 0.84b ± 0.20 | 0.92 | 6b |
Pedigree | 0.13b ± 0.02 | 0.09 ± 0.01 | 0.46 ± 0.04 | 0.89b ± 0.11 | 0.06 ± 0.03 | 0.22 ± 0.10 | - | 2 |