Estimation of direct and maternal genetic correlation of Birth Weight with its environmental maternal variability in mice N. Formoso-Rafferty1, I. Cervantes1, J.P. Gutiérrez1, L. Bodin2 1Universidad Complutense de Madrid, Facultad de Veterinaria, Departamento de Producción Animal, Spain 2 INRA, GenPhySE, Castanet-Tolosan, France firstname.lastname@example.org (Corresponding Author) In polytocous species like pig, rabbit and mice, environmental variability of birth weight (BW) is generally studied assigning each BW record of a litter to the dam and considering that all genetic effects are maternal. However a direct effect might exist and could induce bias in the parameter estimations. In this paper, analyses of genetic parameters for the mean (location) and the variability (dispersion) of BW has been made on mice data from a divergently selection experiment on BW considering maternal genetic effects on the location and on the dispersion of BW together with a direct genetic effect on its location. They were done through a DHGLM procedure implemented in the ASReml software which could deal with both direct and maternal effects and which provided their variances and covariances for the location and the dispersion. The correlation between maternal genetic effects for the BW location and the BW dispersion was positive and confirmed results previously obtained. The new genetic correlation between a direct genetic effect on the location and the maternal genetic effect on the dispersion of BW was also positive. Thus increasing the individual BW, whatever the direct or maternal component concerned by the selection, should be avoided if BW variability is ignored. Keywords: robustness, environmental variability, maternal effect, birth weight
Proceedings of the World Congress on Genetics Applied to Livestock Production, Volume Electronic Poster Session - Challenges - Genotype by Environment Interactions, , 292, 2018
|Download Full PDF||BibTEX Citation||Endnote Citation||Search the Proceedings|
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.