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Table 2 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 20 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

0.71 ± 0.02

0.56 ± 0.04

0.75 ± 0.02

0.91 ± 0.01

0.90 ± 0.01

0.91 ± 0.01

400 k

0.64 ± 0.04

0.53 ± 0.04

0.73 ± 0.03

0.90 ± 0.01

0.86 ± 0.01

0.90 ± 0.01

200 k

0.60 ± 0.05

0.50 ± 0.04

0.68 ± 0.02

0.88 ± 0.01

0.84 ± 0.01

0.88 ± 0.01

100 k

0.57 ± 0.04

0.47 ± 0.04

0.63 ± 0.03

0.84 ± 0.01

0.81 ± 0.02

0.84 ± 0.01

ρ = 0.8

800 k

0.67 ± 0.05

0.76 ± 0.02

0.83 ± 0.01

0.92 ± 0.01

0.92 ± 0.01

0.93 ± 0.01

400 k

0.66 ± 0.05

0.72 ± 0.02

0.80 ± 0.01

0.90 ± 0.01

0.89 ± 0.01

0.90 ± 0.01

200 k

0.66 ± 0.04

0.68 ± 0.02

0.76 ± 0.01

0.86 ± 0.01

0.86 ± 0.01

0.86 ± 0.01

100 k

0.61 ± 0.04

0.63 ± 0.04

0.72 ± 0.02

0.83 ± 0.01

0.83 ± 0.01

0.84 ± 0.01

b(TBV, GEBV)

ρ = 0.2

800 k

1.06 ± 0.05

0.73 ± 0.05

1.04 ± 0.05

0.98 ± 0.02

1.01 ± 0.01

0.98 ± 0.01

400 k

1.06 ± 0.05

0.76 ± 0.06

1.06 ± 0.05

0.99 ± 0.02

1.00 ± 0.01

0.98 ± 0.01

200 k

1.02 ± 0.06

0.75 ± 0.05

1.03 ± 0.04

1.00 ± 0.01

0.99 ± 0.01

0.98 ± 0.01

100 k

1.00 ± 0.06

0.75 ± 0.05

1.03 ± 0.06

1.00 ± 0.01

1.00 ± 0.02

0.99 ± 0.01

ρ = 0.8

800 k

1.10 ± 0.06

0.90 ± 0.03

1.10 ± 0.04

0.99 ± 0.02

1.00 ± 0.02

0.99 ± 0.02

400 k

1.09 ± 0.06

0.89 ± 0.04

1.07 ± 0.04

0.99 ± 0.02

0.99 ± 0.01

0.99 ± 0.02

200 k

1.14 ± 0.06

0.89 ± 0.06

1.04 ± 0.05

0.98 ± 0.02

1.00 ± 0.02

0.98 ± 0.03

100 k

1.08 ± 0.08

0.85 ± 0.06

1.06 ± 0.05

0.98 ± 0.03

0.99 ± 0.03

0.98 ± 0.03