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Table 6 Performances of the second approximation \( \left( {\tilde{r}_{{q_{\text{c}} ,\hat{q}_{\text{c}} }}^{2} } \right) \) for an unrelated reference population as a function of the number of markers (n M ) and reference population size (n R ), assuming ν 2 = 0.4

From: Approximated prediction of genomic selection accuracy when reference and candidate populations are related

n M

n R

True value \( \left( {{r}_{{q_{\text{c}} ,\hat{q}_{\text{c}} }}^{2} } \right) \)

Approximation \( \left( {\tilde{r}_{{q_{\text{c}} ,\hat{q}_{\text{c}} }}^{2} } \right) \)

10th order approximation

\( {\text{E}}\left[ {\tilde{r}_{{q_{\text{c}} ,\hat{q}_{\text{c}} }}^{2} } \right] \)

50

500

0.92

0.91

0.91

0.91

50

1000

0.96

0.95

0.94

0.95

50

1500

0.96

0.97

0.97

0.96

50

2000

0.97

0.97

0.97

0.97

100

500

0.85

0.83

0.82

0.83

100

1000

0.90

0.91

0.90

0.91

100

1500

0.95

0.94

0.94

0.94

100

2000

0.96

0.95

0.95

0.95

250

500

0.67

0.71

0.67

0.71

250

1000

0.81

0.83

0.81

0.82

250

1500

0.85

0.88

0.87

0.88

250

2000

0.89

0.90

0.90

0.90

1000

500

0.32

0.41

0.31

0.40

1000

1000

0.52

0.59

0.52

0.57

1000

1500

0.62

0.68

0.64

0.67

1000

2000

0.69

0.73

0.70

0.73

1500

500

0.24

0.32

0.23

0.31

1500

1000

0.42

0.50

0.42

0.48

1500

1500

0.52

0.60

0.53

0.59

1500

2000

0.60

0.66

0.61

0.67

2000

500

0.19

0.26

0.17

0.28

2000

1000

0.34

0.43

0.33

0.44

2000

1500

0.46

0.53

0.46

0.53

2000

2000

0.53

0.60

0.54

0.61

2500

500

0.16

0.22

0.14

0.23

2500

1000

0.30

0.38

0.28

0.38

2500

1500

0.40

0.48

0.39

0.47

2500

2000

0.47

0.55

0.48

0.56

  1. The convergence criterion is the value of the Taylor series at order 10
  2. \( {\text{E}}\left[ {\tilde{r}_{{q_{\text{c}} ,\hat{q}_{\text{c}} }}^{2} } \right] \) is the expectation of the second approximation across the distribution of allele frequencies as given in Goddard [16]