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Table 4 Accuracies of genomic predictions for average daily gain (ADG) and feed conversion ratio (FCR) in different validation groups for univariate (UNI) or bivariate (BI) single-step genomic prediction models with or without metafounders (MF), each with their optimal weighting factor (ω) in the two populations

From: Single-step genomic evaluation with metafounders for feed conversion ratio and average daily gain in Danish Landrace and Yorkshire pigs

Population Trait Validation group UNI_SSGBLUP UNI_MF-SSGBLUP BI_SSGBLUP BI_MF-SSGBLUP
Landrace ADG (ω = 0.20) All 0.355a 0.356a 0.355a 0.356a
Genotyped 0.410a 0.410a 0.410a 0.410a
Non-genotyped 0.327a 0.327a 0.326a 0.327a
FCR (ω = 0.70) All 0.192a 0.193a 0.193a 0.196b
Genotyped 0.200a 0.206b 0.201a 0.206b
Non-genotyped 0.167a 0.170a 0.179b 0.180b
Yorkshire ADG (ω = 0.25) All 0.347a 0.347a 0.347a 0.347a
Genotyped 0.395a 0.395a 0.394a 0.394a
Non-genotyped 0.309a 0.309a 0.309a 0.308a
FCR (ω = 0.10) All 0.355a 0.355a 0.344b 0.344b
Genotyped 0.370a 0.367a 0.357b 0.356b
Non-genotyped 0.118a 0.121a 0.117a 0.114a
  1. The four methods are UNI_SSGBLUP, UNI_MF-SSGBLUP, BI_SSGBLUP and BI_MF-SSGBLUP
  2. Validation groups are the validation population including all the young pigs born between 1 May 2016 and 1 February 2017, and two subgroups of genotyped and non-genotyped animals
  3. The results for ADG and FCR bivariate single-step genomic prediction models are obtained with their optimal ω respectively
  4. Superscript letters indicate significant differences (p < 0.05) by the Hotelling–Williams t-test