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 | 0.35 ± 0.01 | 0.17 ± 0.01 | 0.73 | - | 0.51 | - | 0.48 | - |
BRR (−2,-2) | 0.25b ± 0.04 | 0.20b ± 0.03 | 0.69b ± 0.03 | 1.42b ± 0.23 | 0.36 ± 0.04 | 0.54b ± 0.11 | 0.81 | 5b |
IBLASSO (4,-2) | 0.22 ± 0.06 | 0.22 ± 0.04 | 0.69b ± 0.03 | 1.74 ± 0.82 | 0.35 ± 0.04 | 0.48 ± 0.11 | 1.01 | 1 |
IBLASSO (4,2) | 0.24 ± 0.06 | 0.20b ± 0.04 | 0.69b ± 0.03 | 1.60 ± 0.71 | 0.36 ± 0.04 | 0.54b ± 0.14 | 0.82 | 3 |
BAYESA*B* (−2,6) | 0.25b ± 0.06 | 0.18b ± 0.04 | 0.70b ± 0.03 | 1.53b ± 0.66 | 0.36 ± 0.04 | 0.57b ± 0.15 | 0.73b | 6b |
BAYESA*B* (4,6) | 0.25b ± 0.06 | 0.18b ± 0.04 | 0.70b ± 0.03 | 1.52b ± 0.66 | 0.36 ± 0.04 | 0.58b ± 0.15 | 0.72b | 6b |
BAYESA*B* (−2,8) | 0.26b ± 0.06 | 0.18b ± 0.04 | 0.70b ± 0.03 | 1.51b ± 0.64 | 0.36 ± 0.04 | 0.59b ± 0.15 | 0.69b | 6b |
RR-HET (-2–2) | 0.22 ± 0.06 | 0.22 ± 0.04 | 0.69b ± 0.03 | 1.76 ± 0.83 | 0.35 ± 0.04 | 0.48 ± 0.11 | 1.02 | 1 |
BLASSO (4,2) | 0.18 ± 0.05 | 0.29 ± 0.03 | 0.69b ± 0.03 | 1.69 ± 0.45 | 0.35 ± 0.03 | 0.46 ± 0.08 | 1.59 | 1 |
G-BLUP | 0.27b ± 0.03 | 0.20b ± 0.03 | 0.70b ± 0.02 | 1.17b ± 0.13 | 0.40b ± 0.04 | 0.74b ± 0.22 | 0.77 | 6b |
Pedigree | 0.24 ± 0.02 | 0.11 ± 0.01 | 0.53 ± 0.02 | 0.87b ± 0.09 | 0.04 ± 0.02 | 0.12 ± 0.06 | - | 1 |