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Table 6 Results for WssGBLUP for fillet yield for different weighting strategies for the SNPs

From: Genomic selection models substantially improve the accuracy of genetic merit predictions for fillet yield and body weight in rainbow trout using a multi-trait model and multi-generation progeny testing

Iteration

1.025a

1.125

1.25

1

2

3

4

5

1

2

3

4

5

1

2

3

4

5

Accuracy

0.62

0.62

0.62

0.62

0.62

0.62

0.62

0.62

0.63

0.63

0.62

0.62

0.62

0.62

0.62

b0

− 0.44

− 0.51

− 0.52

− 0.52

− 0.52

− 0.44

− 0.57

− 0.60

− 0.60

− 0.60

− 0.44

− 0.46

− 0.46

− 0.46

− 0.46

b1

1.07

1.03

1.03

1.03

1.03

1.07

1.00

0.99

0.99

0.99

1.07

1.06

1.06

1.06

1.06

  1. aCT values tested, CT is a constant that represents the deviation from normality in the calculation of weights for the SNPs
  2. b0: bias; b1: inflation
  3. Validation is done with adjusted phenotypes