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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)