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Table 4 Scenario 3: Results for the trait controlled by equal gene effects with heritability 0.50

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

  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