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Table 2 Accuracy and bias of (G)EBV evaluated using pedigree, 80K, 650K and SEQ data using different prediction methods

From: Genomic evaluation of feed efficiency component traits in Duroc pigs using 80K, 650K and whole-genome sequence variants

Resource

Method

ADFI

FAT

ADG

LMD

Accuracy

Bias

Accuracy

Bias

Accuracy

Bias

Accuracy

Bias

Pedigree

BLUP

0.28

0.83

0.49

0.91

0.28

0.53

0.42

1.17

80K

GBLUP

0.38

0.96

0.66

0.98

0.17

0.31

0.29

0.63

BayesB

0.44

1.14

0.68

1.12

0.12

0.23

0.25

0.59

650K

GBLUP

0.38

0.99

0.64

0.95

0.20

0.38

0.29

0.6

BayesB

0.45

1.17

0.68

1.17

0.09

0.15

0.26

0.59

SEQ

GBLUP

0.37

0.95

0.59

0.96

0.12

0.28

0.32

0.69

BayesB

0.41

1.07

0.65

1.27

0.12

0.21

0.32

0.77

BayesRC

0.40

0.64

0.62

0.81

0.25

0.32

0.35

0.64

Average accuracy of using genomic data

0.40

0.97

0.65

1.02

0.15

0.30

0.30

0.71

  1. ADFI average daily feed intake, FAT ultrasound backfat depth, ADG average daily gain, LMD ultrasound loin muscle depth