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Table 2 Estimated regression coefficients of egg number and weight on heterozygosity excess 1 , their standard errors (se) and p-values

From: Predicting heterosis for egg production traits in crossbred offspring of individual White Leghorn sires using genome-wide SNP data

  Egg number Egg weight (g)
  Estimate se p-value Estimate se p-value
Model 1       
β 93.45 18.3 3.4 E-7 12.92 2.7 1.1 E-6
Model 2       
β 1 92.5 19.3 2.2 E-6 12.94 2.8 4.7 E-7
β 2 102.9 61.7 9.5 E-2 12.74 8.7 1.5 E-1
  1. 1 β is the partial regression coefficient of trait values on the full heterozygosity excess, \( {\left({p}_i-{p}_j\right)}^2+\left({p}_{s_i}-{p}_i\right)\left(1-2{p}_j\right) \). β was estimated from Model 1; β 1 is the partial regression coefficient of trait values on the between-line component (p i  − p j )2, and β 2 is the partial regression coefficient of trait values on the within-line component, \( \left({p}_{s_i}-{p}_i\right)\left(1-2{p}_j\right) \), of the heterozygosity excess. β 1 and β 2 were estimated simultaneously from Model 2.