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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.