Skip to main content

Table 3 Comparison of True Breeding Values estimations

From: Comparison of analyses of the XVth QTLMAS common dataset III: Genomic Estimations of Breeding Values

First author

Label

r

rank

bias

MSE

Shariati

BayesS_1

0.84

0.48

0.33

12.92

 

BayesS_2

0.84

0.47

0.33

12.94

 

BayesS_3

0.83

0.49

0.33

13.37

 

BayesS_4

0.82

0.49

0.32

13.62

Ogutu

RR

0.83

0.52

0.45

5.55

 

GBLUP_O

0.81

0.51

0.39

8.23

 

LASSO_O

0.87

0.55

0.43

6.44

 

LASSO_ad

0.88

0.60

0.37

9.94

 

EN

0.87

0.52

0.44

5.86

 

EN_ad

0.81

0.48

0.33

12.01

Wang

BayesA_W

0.86

0.61

0.38

9.07

 

BayesB_W

0.89

0.66

0.38

9.12

 

BayesCπ_W

0.88

0.65

0.39

9.00

 

TABLUP

0.88

0.64

0.36

10.88

 

GBLUP_W

0.77

0.48

0.46

4.98

Mucha

AM

0.59

0.37

0.40

5.93

 

FM

0.47

0.44

0.13

43.01

 

RM1

0.70

0.34

0.68

2.54

 

RM2

0.70

0.34

0.65

2.68

Zeng

GBLUPa_Z

0.82

0.50

0.40

7.61

 

GBLUPd_Z

0.81

0.49

0.40

7.59

 

BayesB _W

0.89

0.66

0.38

9.22

 

BayesCπ_W

0.89

0.66

0.39

8.84

Usai

LASSO_Uc

0.86

0.53

0.45

5.66

 

LASSO_Uc1

0.86

0.62

0.37

9.54

 

LASSO_Uc2

0.87

0.55

0.43

6.48

Schurink

BayesZ

0.87

0.63

0.39

5.20

  1. (r=Pearson correlation between TBV and GEBV, rank=rank correlation of the best 10% TBV, bias = regression coefficient between TBV and GEBV, MSE= mean squared error of prediction of TBV by GEBV)