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Table 2 Parameter estimates (standard errors in brackets) from a univariate classical and a social genetic effects model for average daily gain (g/day) across boars and gilts

From: Social genetic effects for growth in pigs differ between boars and gilts

Component

Classical

Social

\({\upsigma}_{{{\mathbf{A}}_{\text{D}} }}^{2}\)

2550.1 (159.5)

2521.4 (158.6)

\({\upsigma}_{{{\mathbf{A}}_{\text{S}} }}^{2}\)

 

7.4 (2.6)

\({\upsigma}_{{{\mathbf{A}}_{\text{DS}} }}\)

 

− 2.49 (16.8)

\({\upsigma}_{g}^{2}\)

1115.9 (35.1)

1081.9 (36.9)

\({\upsigma}_{l}^{2}\)

727.4 (36.9)

725.3 (44.1)

\({\upsigma}_{e}^{2}\)

7037.6 (86.6)

7015.4 (87.9)

\(h^{2} /{\text{T}}^{2}\)

0.223 (0.014)

0.234 (0.014)

\(r_{{{\mathbf{A}}_{\text{D}} ,{\mathbf{A}}_{\text{S}} }}\)

 

− 0.24 (0.126)

\({\upsigma}_{TBV}^{2}\)

 

2654.4 (106.8)

\(\Delta {\text{LogL}}\)

 

8.5 (P < 0.05)

  1. \({\upsigma}_{{{\mathbf{A}}_{\text{D}} }}^{2}\) = direct genetic variance
  2. \({\upsigma}_{{{\mathbf{A}}_{\text{S}} }}^{2}\) = social genetic variance
  3. \({\upsigma}_{{{\mathbf{A}}_{\text{DS}} }}\) = direct-social covariance
  4. \({\upsigma}_{g}^{2}\) = variance of group
  5. \({\upsigma}_{l}^{2}\) = variance of litter
  6. \({\upsigma}_{e}^{2}\) = residual variance
  7. h2 = heritability
  8. T2 = total heritable variation
  9. \(r_{{{\mathbf{A}}_{\text{D}} ,{\mathbf{A}}_{\text{S}} }}\) = genetic correlation between direct and social genetic effect
  10. \({\upsigma}_{TBV}^{2}\) = variance of the total breeding value
  11. \(\Delta {\text{LogL}}\) = reduction in − 2Log Likelihood compared to the classical model, P values from a likelihood ratio test with 2 degrees of freedom in parentheses