Analysis of rabbit doe longevity using a semiparametric log-Normal animal frailty model with time-dependent covariates.

Genetics, Selection, Evolution : GSE
Juan Pablo SánchezManuel Baselga

Abstract

Data on doe longevity in a rabbit population were analysed using a semiparametric log-Normal animal frailty model. Longevity was defined as the time from the first positive pregnancy test to death or culling due to pathological problems. Does culled for other reasons had right censored records of longevity. The model included time dependent covariates associated with year by season, the interaction between physiological state and the number of young born alive, and between order of positive pregnancy test and physiological state. The model also included an additive genetic effect and a residual in log frailty. Properties of marginal posterior distributions of specific parameters were inferred from a full Bayesian analysis using Gibbs sampling. All of the fully conditional posterior distributions defining a Gibbs sampler were easy to sample from, either directly or using adaptive rejection sampling. The marginal posterior mean estimates of the additive genetic variance and of the residual variance in log frailty were 0.247 and 0.690.

Citations

May 1, 2009·Animal : an International Journal of Animal Bioscience·P TheilgaardJ J Pascual
Nov 14, 2007·Journal of Animal Science·J P SánchezM Baselga
Jul 27, 2007·Journal of Animal Breeding and Genetics = Zeitschrift Für Tierzüchtung Und Züchtungsbiologie·J Casellas
Jan 23, 2020·Animal : an International Journal of Animal Bioscience·A G El NagarM Baselga
Mar 9, 2021·Journal of Animal Breeding and Genetics = Zeitschrift Für Tierzüchtung Und Züchtungsbiologie·Ayman G El NagarJuan Pablo Sánchez

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