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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