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Table 3 Scenario 2: Results for the trait controlled by mixed (major and small gene effects) inheritance model with heritability 0.30

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

  1. bbest = highest + − 0.02 for h2a, h2d, cor a, cor d and Vd/Va; 0.5 to 1.5 for bya and byd; highest minus 2 for best criteria in the last column