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Table 1 Prediction accuracy for milk, fat and protein yields of sires with phenotyped daughters, using single trait analysis (ST), multi-trait analysis (mBLUP) and meta-analysis (MetaGS)

From: MetaGS: an accurate method to impute and combine SNP effects across populations using summary statistics

Trait

Val\Ref

ST

mBLUP

MetaGS

JER

HOL

JER

HOL

JER

HOL

Milk

JER

0.52

0.32

0.50

0.49

0.53

0.50

HOL

0.05

0.51

0.46

0.52

0.46

0.52

Fat

JER

0.34

0.18

0.37

0.36

0.37

0.36

HOL

0.00

0.52

0.31

0.53

0.30

0.53

Protein

JER

0.55

0.15

0.54

0.39

0.54

0.40

HOL

0.08

0.48

0.39

0.53

0.40

0.53

  1. The values represent the prediction accuracy (as the correlation coefficient between DGV and the phenotypes of the validation population) for the validation population (rows) using SNP effects calculated on the reference population (columns)
  2. Jer Jersey, Hol Holstein