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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