853
Improving Analysis of Direct and Indirect Genetic Effects on Survival Data in Laying Hens

Friday, August 22, 2014
Posters (The Westin Bayshore)
Tessa Brinker , Animal Breeding and Genomics Centre, Wageningen University, Wageningen, Netherlands
Esther D. Ellen , Animal Breeding and Genomics Centre, Wageningen University, Wageningen, Netherlands
Jeroen Visscher , Institut de Sélection Animale B.V., Hendrix Genetics, Boxmeer, Netherlands
Piter Bijma , Animal Breeding and Genomics Centre, Wageningen University, Wageningen, Netherlands
Abstract Text:

Estimations of genetic parameters for the direct - indirect genetic effects are usually done with an ordinary direct-indirect animal model (DIAM). However, DIAM neglects to consider that animals die over time due to cannibalism and thus no longer express their indirect genetic effects on their group members. Repeatability models (REP) and random regression models (RR) allow for time dependent random effects and may provide a solution. Here we present estimated genetic parameters using the three models DIAM, REP, and RR, and we compare breeding value estimations using cross validation. Rank correlations of DIAM EBVs of survival time with phenotypes (0.15) were not different compared to REP rank correlations analysing survival (0/1) with phenotypes (0.14), and RR analysing survival (0/1) with phenotypes (0.13). However, DIAM rank correlations analysing survival (0/1) were much lower (0.01).

Keywords:

IGEs

Layers

Survival

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