Table 2

Comparison of True Genomic Values estimations

First author

Label

r

rank

bias

MSE


Shariati

BayesS_1

0.86

0.53

0.89

7.51


BayesS_2

0.86

0.53

0.89

7.52


BayesS_3

0.86

0.53

0.88

7.85


BayesS_4

0.85

0.55

0.87

8.00


Ogutu

RR

0.85

0.54

1.19

8.44


GBLUP_O

0.90

0.52

1.11

5.55


LASSO_O

0.92

0.63

1.09

4.67


LASSO_ad

0.92

0.62

1.02

4.30


EN

0.92

0.62

1.23

4.96


EN_ad

0.90

0.40

0.97

5.48


Wang

BayesA_W

0.92

0.65

1.06

4.15


BayesB_W

0.93

0.70

1.05

3.66


BayesCπ_W

0.93

0.70

1.06

3.63


TABLUP

0.91

0.68

0.97

4.59


GBLUP_W

0.78

0.37

1.20

11.71


Mucha

AM

0.61

0.36

1.06

17.57


FM

0.49

0.32

0.35

43.17


RM1

0.70

0.38

1.77

16.65


RM2

0.71

0.38

1.69

16.30


Zeng

GBLUPa_Z

0.82

0.53

1.04

8.94


GBLUPd_Z

0.81

0.52

1.04

9.46


BayesB _W

0.93

0.71

1.05

3.63


BayesCπ_W

0.94

0.72

1.07

3.41


Usai

LASSO_Uc

0.92

0.62

1.25

5.04


LASSO_Uc1

0.90

0.64

1.02

5.30


LASSO_Uc2

0.92

0.63

1.09

4.66


Schurink

BayesZ

0.90

0.60

1.06

5.20


r=Pearson correlation between TGV and GEBV, rank=rank correlation of the best 10% TGV, bias = regression coefficient between TGV and GEBV, MSEP= mean squared error of prediction of TGV 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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