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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