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Table 3 Accuracy and unbiasedness of genomic prediction of growth and reproductive traits performed with the GBLUP method as assessed with 20 replicates of five-fold CV

From: The superiority of multi-trait models with genotype-by-environment interactions in a limited number of environments for genomic prediction in pigs

Population1 Method2 Measurement3 AGE4 BFT4 NBA4 TNB4
Beijing ST-GBLUP_single Accuracy 0.315 ± 0.035a 0.331 ± 0.026a 0.142 ± 0.045a 0.172 ± 0.043a
Unbiasedness 1.001 ± 0.203 1.126 ± 0.254 1.220 ± 0.413 1.146 ± 0.411
ST-GBLUP_combined Accuracy 0.315 ± 0.037a 0.334 ± 0.029a 0.153 ± 0.052b 0.189 ± 0.052b
Unbiasedness 1.119 ± 0.222 0.827 ± 0.249 0.698 ± 0.360 0.799 ± 0.284
MT-GBLUP Accuracy 0.326 ± 0.032b 0.346 ± 0.025b 0.167 ± 0.043c 0.191 ± 0.044b
Unbiasedness 0.994 ± 0.196 1.083 ± 0.225 1.164 ± 0.362 1.112 ± 0.278
Fujian ST-GBLUP_single Accuracy 0.245 ± 0.017a 0.261 ± 0.035a 0.159 ± 0.053a 0.146 ± 0.052a
Unbiasedness 1.047 ± 0.267 1.046 ± 0.263 1.047 ± 0.442 1.050 ± 0.421
ST-GBLUP_combined Accuracy 0.255 ± 0.023b 0.272 ± 0.043b 0.171 ± 0.062b 0.173 ± 0.055b
Unbiasedness 1.352 ± 0.303 1.274 ± 0.271 1.352 ± 0.454 1.191 ± 0.465
MT-GBLUP Accuracy 0.273 ± 0.019c 0.297 ± 0.031c 0.181 ± 0.054c 0.184 ± 0.057c
Unbiasedness 1.024 ± 0.243 1.013 ± 0.232 1.032 ± 0.433 1.046 ± 0.397
  1. 1 Yorkshire pig populations from Beijing and Fujian with similar genetic backgrounds
  2. 2 ST-GBLUP_single: single-trait GBLUP model with a single population as the reference population; ST-GBLUP_combined: single-trait GBLUP model two populations combined as the reference population; MT-GBLUP: multi-trait GBLUP model in which values of the same trait in different populations were considered different traits
  3. 3 Accuracy: the correlation between GEBV and corrected phenotypic values in the validation population; Unbiasedness: the regression of corrected phenotypic values on GEBVs
  4. 4 AGE: days to 100 kg; BFT: backfat thickness at 100 kg; NBA: number of piglets born alive; TNB: total number of piglets born
  5. a, b, c Values with different superscript letters significantly differ (P < 0.05)