Table 3

Comparison of True Breeding Values estimations

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


(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)

Le Roy et al. BMC Proceedings 2012 6(Suppl 2):S3   doi:10.1186/1753-6561-6-S2-S3

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