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Table 7 The accuracy and bias of across-breeds prediction of BayesR, GBLUP, and HyB_BR

From: A hybrid expectation maximisation and MCMC sampling algorithm to implement Bayesian mixture model based genomic prediction and QTL mapping

 

Milk yield

Protein yield

Fat%

Fertility

Acc.

Bias

Acc.

Bias

Acc.

Bias

Acc.

Bias

 

Across breeds prediction on Australian red bulls

GBLUP

0.16

0.54

0.11

0.51

0.32

0.90

0.29

0.97

BayesR

0.22

0.60

0.12

0.49

0.45

0.92

0.27

1.03

EmBayesR

0.24

0.70

0.12

0.42

0.41

0.89

0.29

1.10

HyB_BR

0.23

0.74

0.17

0.49

0.50

0.90

0.30

0.98

 

Across breeds prediction on Australian red cows

GBLUP

0.15

0.71

0.08

0.13

0.50

1.19

0.08

0.79

BayesR

0.26

0.80

0.17

0.51

0.54

0.94

0.08

0.68

EmBayesR

0.24

0.79

0.16

0.53

0.51

0.89

0.08

0.74

HyB_BR

0.26

0.81

0.16

0.57

0.55

0.91

0.08

0.70