Table 5

Correlations between predicted GBVs for trait A, B and C
Data Method A-B (0.72) A-C (0.0) B-C (0.0)
I MCBayes π = 0 0.588 ± 0.181 −0.071 ± 0.175 −0.091 ± 0.199
0 < π <1 0.699 ± 0.188 −0.057 ± 0.250 −0.076 ± 0.301
varBayes π = 0 0.688 ± 0.184 −0.100 ± 0.241 −0.077 ± 0.279
0 < π <1 0.644 ± 0.169 −0.053 ± 0.192 −0.058 ± 0.247
Single-trait (MCBayes) π = 0 0.446 ± 0.132 0.058 ± 0.096 0.096 ± 0.121
0 < π <1 0.452 ± 0.183 0.035 ± 0.090 0.060 ± 0.111
Simulated BV 0.755 ± 0.133 0.003 ± 0.054 0.004 ± 0.060
II MCBayes π = 0 0.606 ± 0.197 −0.129 ± 0.113 −0.071 ± 0.140
0 < π <1 0.721 ± 0.222 −0.161 ± 0.149 −0.128 ± 0.179
varBayes π = 0 0.614 ± 0.206 −0.176 ± 0.135 −0.090 ± 0.179
0 < π <1 0.671 ± 0.210 −0.153 ± 0.168 −0.047 ± 0.193
Single-trait (MCBayes) π = 0 0.394 ± 0.115 0.020 ± 0.075 0.072 ± 0.111
0 < π <1 0.479 ± 0.206 −0.018 ± 0.084 0.022 ± 0.094
Simulated BV 0.735 ± 0.166 −0.031 ± 0.054 −0.012 ± 0.041
III MCBayes π = 0 0.530 ± 0.195 −0.032 ± 0.223 −0.037 ± 0.238
0 < π <1 0.662 ± 0.208 −0.014 ± 0.326 −0.013 ± 0.369
varBayes π = 0 0.555 ± 0.194 −0.028 ± 0.218 −0.023 ± 0.248
0 < π <1 0.455 ± 0.167 −0.001 ± 0.158 0.021 ± 0.190
Single-trait (MCBayes) π = 0 0.315 ± 0.106 0.029 ± 0.105 0.080 ± 0.134
0 < π <1 0.323 ± 0.138 0.024 ± 0.097 0.057 ± 0.130

Averages and standard errors are listed based on 100 replicates of simulated data in Data I and Data III and 20 replicates in Data II. Simulated BV indicates simulated breeding values, where expected correlations are 0.72, 0.0 and 0.0 for trait-pairs A-B, A-C and B-C as listed in parentheses. In Data III, correlations between simulated breeding values are the same as those in Data I.

Hayashi and Iwata

Hayashi and Iwata BMC Bioinformatics 2013 14:34   doi:10.1186/1471-2105-14-34

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