Table 2 The random (co)variance components fitted in the animal models for growth traits in Baluchi sheep.

From: Improvement in genetic evaluation of quantitative traits in sheep by enriching genetic model with dominance effects

Model number

Random effects

\(\:{\sigma\:}_{a}^{2}\)

\(\:{\sigma\:}_{d}^{2}\)

\(\:{\sigma\:}_{m}^{2}\)

\(\:{\sigma\:}_{c}^{2}\)

\(\:{\sigma\:}_{a.m}\)

\(\:{\sigma\:}_{e}^{2}\)

1

    

2

   

3

  

 

4

 

 

5

 

  

6

  

7

 

 

8

 

9

 

 

10

 

11

 

12

  1. \(\:{\sigma\:}_{a}^{2}\)= additive genetic variance;\(\:\:{\sigma\:}_{d}^{2}\)= dominance genetic variance; \(\:{\sigma\:}_{c}^{2}\)=maternal permanent environmental variance;\(\:\:{\sigma\:}_{m}^{2}\)=maternal genetic variance;\(\:\:{\sigma\:}_{a.m}\)= direct-maternal additive genetic co-variance; \(\:{\sigma\:}_{e}^{2}\)= residual variance.