Genetic parameters for daily egg production over the whole production period in turkeys were estimated using a threshold model, extended by the addition of fixed and random regression terms and implemented under a Bayesian framework using the Gibbs sampler. Fixed regression modelled the average daily egg production and provided estimates of the probability to lay an egg on any specific day. Variance components for egg production were different across laying stages. Heritability was lowest when the average daily production was greatest. Genetic correlation for consecutive production days was strong, but it was weak or negative between the beginning and the middle of lay. In brief, the application of the longitudinal threshold model allows the genetic evaluation of egg production on a daily basis and so provides breeders with essential information for optimising their recording and selection strategies.
Proceedings of the World Congress on Genetics Applied to Livestock Production, Volume , , 07.06, 2006
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