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Table 1 Mean phenotype in the commercial population at generations (\(t\)) 1 and 4 when using MCM or MS based on the genotypes of a variable number of SNPs (nSNP) for different types of gene action

From: Optimum mating designs for exploiting dominance in genomic selection schemes for aquaculture species

nSNP

ADD_VAR

DOM_VAR

DOM_EQU_10

DOM_EQU_100

DIR_VAR

DOM_EQU_1000

MCM

MS

MCM

MS

MCM

MS

MCM

MS

MCM

MS

MCM

MS

t = 1

 100

0.60

0.60

0.57

0.60

0.50

0.51

0.55

0.50

0.82

0.52

0.61

0.39

 1000

0.78

0.77

0.74

0.80

0.60

0.55

0.71

0.45

0.83

0.23

0.86

0.12

 10,000

0.81

0.81

0.79

0.88

0.62

0.48

0.76

0.08

0.92

− 0.73

0.94

− 1.03

 100,000

0.81

0.81

0.80

0.90

0.65

0.46

0.78

− 0.05

0.93

− 1.17

0.97

− 1.65

 200,000

0.87

0.87

0.84

0.96

0.69

0.53

0.84

− 0.01

0.98

− 1.17

1.02

− 1.63

t = 4

 100

1.64

1.64

1.69

1.71

1.06

1.04

1.28

1.17

1.47

1.15

0.98

0.66

 1000

2.58

2.57

2.59

2.63

1.31

1.29

2.01

1.90

2.09

1.79

1.96

1.55

 10,000

2.80

2.80

2.85

2.92

1.36

1.34

2.23

2.07

2.39

1.92

2.27

1.75

 100,000

2.81

2.80

2.88

2.96

1.36

1.35

2.24

2.05

2.42

1.88

2.33

1.68

 200,000

2.86

2.85

2.94

3.03

1.38

1.36

2.30

2.10

2.44

1.89

2.39

1.75

  1. Standard errors ranged from 0.02 to 0.13
  2. MCM minimum coancestry mating, MS mate selection, ADD_VAR only additive effects normally distributed, DOM_VAR additive and dominance effects normally distributed, DIR_VAR as in DOM_VAR but with dominance effects all positive, DOM_EQU_x all effects equal with d = a being × the number of QTL (actually 10, 100 or 1000)