Estimation of genetic parameters related to eggshell strength using random regression models

Abstract

1. This study examined the changes in eggshell strength and the genetic parameters related to this trait throughout a hen’s laying life using random regression.

2. The data were collected from a crossbred population between 2011 and 2014, where the eggshell strength was determined repeatedly for 2260 hens.

3. Using random regression models (RRMs), several Legendre polynomials were employed to estimate the fixed, direct genetic and permanent environment effects. The residual effects were treated as independently distributed with heterogeneous variance for each test week.

4. The direct genetic variance was included with second-order Legendre polynomials and the permanent environment with third-order Legendre polynomials.

5. The heritability of eggshell strength ranged from 0.26 to 0.43, the repeatability ranged between 0.47 and 0.69, and the estimated genetic correlations between test weeks was high at > 0.67.

6. The first eigenvalue of the genetic covariance matrix accounted for about 97% of the sum of all the eigenvalues.

7. The flexibility and statistical power of RRM suggest that this model could be an effective method to improve eggshell quality and to reduce losses due to cracked eggs in a breeding plan.

ACKNOWLEDGEMENTS

We thank the section editor of this journal and the anonymous reviewers for their useful comments.

Additional information

Funding

The authors thank the Ministry of Agriculture of the People’s Republic of China as well as the Science [grant number CARS-41-K02] and Technology Department and Agriculture Committee of Jiangsu Province [grant number BK20131237], [grant number BA2014132] for their financial support.