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Table 5 Correlations between genomic breeding values obtained with different models and a training dataset that includes all three lines

From: Genomic prediction based on data from three layer lines: a comparison between linear methods

Line

Method

GBLUP_VR

GBLUP_%id

RRBLUP

RRPCA

BSSVS

BayesC

B1

BLUP

0.37

0.46

0.49

0.48

0.43

0.42

 

GBLUP_VR

 

0.97

0.96

0.88

0.96

0.96

 

GBLUP_%id

  

0.98

0.92

0.97

0.97

 

RRBLUP

   

0.93

0.98

0.98

 

RRPCA

    

0.90

0.90

 

BSSVS

     

1.00

B2

BLUP

0.46

0.54

0.53

0.44

0.51

0.51

 

GBLUP_VR

 

0.98

0.96

0.89

0.96

0.96

 

GBLUP_%id

  

0.97

0.91

0.96

0.96

 

RRBLUP

   

0.93

0.98

0.98

 

RRPCA

    

0.91

0.91

 

BSSVS

     

1.00

W1

BLUP

0.73

0.77

0.78

0.73

0.75

0.75

 

GBLUP_VR

 

0.98

0.98

0.96

0.99

0.99

 

GBLUP_%id

  

1.00

0.97

0.99

0.99

 

RRBLUP

   

0.98

0.99

0.99

 

RRPCA

    

0.97

0.97

 

BSSVS

     

1.00