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Table 3 Estimates of variance components, heritabilities, and genetic correlations for average daily gain (ADG) and feed conversion ratio (FCR) in Yorkshire pigs using pedigree-based univariate BLUP and univariate (UNI) or bivariate (BI) single-step genomic prediction models with or without metafounders (MF)

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

  \(\sigma_{a\_ADG}^{2}\) \(\sigma_{a\_ADG, a\_FCR}\) \(\sigma_{a\_FCR}^{2}\) \(\sigma_{pen}^{2}\) \(\sigma_{litter}^{2}\) \(\sigma_{e\_ADG}^{2}\) \(\sigma_{e\_FCR}^{2}\) \(h_{a\_ADG}^{2}\) \(h_{a\_FCR}^{2}\) \(r_{g}\)
Univariate animal model BLUP 2039.74 (117.88) − 1.19 (0.22) 3.60 × 10–3 (6.47 × 10–4) 577.24 (57.33) 445.98 (62.07) 5144.01 (94.21) 1.55 × 10–2 (6.19 × 10–3) 0.25 (0.05) 0.19 (0.05) − 0.44 (0.15)
UNI_SSGBLUP 2168.95 (116.30) 3.75 × 10–3 (5.95 × 10–4) 571.73 (56.91) 422.21 (61.32) 5092.61 (93.86) 1.54 × 10–2 (5.69 × 10–3) 0.26 (0.04) 0.19 (0.04)
BI_ SSGBLUP 2174.28 (110.43) − 1.28 (0.31) 3.58 × 10–3 (5.26 × 10–4) 568.85 (54.42) 418.41 (70.61) 5080.37 (100.25) 1.56 × 10–2 (4.22 × 10–3) 0.26 (0.03) 0.19 (0.04) − 0.46 (0.13)
UNI_MF-SSGBLUP 2305.03 (122.34) 3.79 × 10–3 (6.31 × 10–4) 570.11 (56.87) 415.72 (61.25) 5077.82 (93.91) 1.56 × 10–2 (5.72 × 10–4) 0.27 (0.03) 0.20 (0.03)
BI_MF-SSGBLUP 2311.95 (118.92) − 1.37 (0.22) 3.86 × 10–3 (5.91 × 10–4) 567.00 (60.40) 411.53 (57.75) 5065.37 (88.41) 1.55 × 10–2 (5.01 × 10–4) 0.28 (0.03) 0.20 (0.03) − 0.46 (0.12)
  1. Variance components for genetic parameters correspond to the usual genetic variance (in MF-SSGBLUP, all the variance components are multiplied by (\(1 - \gamma_{Y} )/2\)), which is the variance among unrelated individuals in the base population
  2. \(\sigma_{a\_ADG}^{2}\) is the additive genetic variance for ADG, \(\sigma_{a\_FCR}^{2}\) is the additive genetic variance for FCR; \(\sigma_{{a\_ADG,{ }a\_FCR}}\) is genetic covariance between ADG and FCR; \(\sigma_{litter}^{2}\) is the variance of litter effect for ADG; \(\sigma_{e\_ADG}^{2}\) is the residual variance for ADG; \(\sigma_{e\_FCR}^{2}\) is the residual variance for FCR
  3. Numbers between brackets are the standard errors of the corresponding parameters