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Table 2 Regression coefficients and variance estimates with associated standard errors and p-values based on average daily gain (g/day) in crossbreds (Model 1)

From: Selection for social genetic effects in purebreds increases growth in crossbreds

 

Estimate

p-value

\({\text{b}}_{{{\text{cSGE}}}}^{*}\)

0.37 (0.21)

 

\({\text{b}}_{{{\text{DGE}}}}\)

0.30 (0.12)

0.02*

\({\text{b}}_{{{\text{sd}}.{\text{wgt}}}}^{*}\)

-6.09 (2.00)

 

\({\text{b}}_{{{\text{sd}}.{\text{wgt}},{\text{SGE}}}}\)

-0.26 (0.12)

0.03*

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

3060 (55)

 

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

16,864 (130)

 
  1. \({\text{b}}_{{{\text{cSGE}}}}^{*}\): regression coefficient of complementary social genetic effect, \({\text{cSGE}}\), i.e. the sum of the SGE of group mates, conditional on the mean standard deviation in starting weight across groups; \({\text{b}}_{{{\text{DGE}}}}\): regression coefficient of the direct genetic effect, DGE; \({\text{b}}_{{{\text{sd}}.{\text{wgt}}}}\): regression coefficient of the standard deviation of starting weight within group; \({\text{b}}_{{{\text{sd}}.{\text{wgt}},{\text{SGE}}}}\): regression coefficient of the interaction between the standard deviation of starting weight within group and cSGE; \({\upsigma }_{{\text{l}}}^{2}\) and \({\upsigma }_{{\text{e}}}^{2}\): the estimated variances of random birth litter effects and residual effects. Statistical significance for estimates differing from zero is indicated by stars (*P < 0.05)