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Table 3 Accuracy {expressed as correlations between true breeding values (TBV) and genomic estimated breeding values [GEBV; r(TBV, GEBV)]}, and slopes [b(TBV, GEBV)] of regression of TBV on GEBV for genomic prediction with 200 simulated QTL

From: Multi-population genomic prediction using a multi-task Bayesian learning model

 

Ayrshire

Holstein

SNP panel

Single-task

Pooling

Multi-task

Single-task

Pooling

Multi-task

r(TBV, GEBV)

ρ = 0.2

800 k

0.46 ± 0.02

0.44 ± 0.04

0.47 ± 0.03

0.77 ± 0.01

0.76 ± 0.01

0.77 ± 0.01

400 k

0.46 ± 0.02

0.43 ± 0.03

0.47 ± 0.02

0.76 ± 0.01

0.76 ± 0.01

0.76 ± 0.01

200 k

0.46 ± 0.02

0.42 ± 0.04

0.47 ± 0.02

0.75 ± 0.01

0.75 ± 0.01

0.75 ± 0.01

100 k

0.45 ± 0.02

0.41 ± 0.03

0.46 ± 0.03

0.74 ± 0.01

0.74 ± 0.01

0.74 ± 0.01

ρ = 0.8

800 k

0.54 ± 0.04

0.57 ± 0.02

0.56 ± 0.03

0.74 ± 0.02

0.75 ± 0.01

0.75 ± 0.02

400 k

0.54 ± 0.03

0.56 ± 0.03

0.55 ± 0.03

0.74 ± 0.02

0.74 ± 0.02

0.74 ± 0.02

200 k

0.54 ± 0.03

0.56 ± 0.02

0.55 ± 0.03

0.73 ± 0.02

0.73 ± 0.02

0.73 ± 0.02

100 k

0.53 ± 0.03

0.52 ± 0.02

0.54 ± 0.03

0.72 ± 0.02

0.72 ± 0.02

0.72 ± 0.02

b(TBV, GEBV)

ρ = 0.2

800 k

1.14 ± 0.08

0.89 ± 0.09

1.16 ± 0.09

1.07 ± 0.01

1.09 ± 0.01

1.07 ± 0.01

400 k

1.14 ± 0.09

0.91 ± 0.08

1.13 ± 0.09

1.07 ± 0.01

1.09 ± 0.01

1.07 ± 0.01

200 k

1.14 ± 0.09

0.88 ± 0.08

1.14 ± 0.09

1.08 ± 0.01

1.09 ± 0.01

1.08 ± 0.01

100 k

1.15 ± 0.09

0.89 ± 0.09

1.15 ± 0.09

1.09 ± 0.02

1.11 ± 0.03

1.09 ± 0.02

ρ = 0.8

800 k

1.12 ± 0.11

1.00 ± 0.06

1.07 ± 0.09

1.01 ± 0.02

1.00 ± 0.02

1.01 ± 0.02

400 k

1.11 ± 0.11

1.02 ± 0.07

1.08 ± 0.09

1.01 ± 0.02

1.00 ± 0.02

1.01 ± 0.02

200 k

1.12 ± 0.11

1.04 ± 0.07

1.11 ± 0.09

1.01 ± 0.02

1.01 ± 0.02

1.01 ± 0.02

100 k

1.11 ± 0.11

0.99 ± 0.07

1.10 ± 0.10

1.01 ± 0.02

1.01 ± 0.02

1.01 ± 0.02