title: Bayesian inference of genetic parameters and selection response for litter size components in pigs.
abstract: Three contemporary lines were formed from the progeny of 50 French Large White sows. In the first line, gilts were selected for ovulation rate at puberty. In the second line, they were selected for prenatal survival of the first two parities, corrected for ovulation rate. The control constituted the third line. Ovulation rate at puberty was analyzed using an animal model with a batch effect. Prenatal survival was analyzed with a repeatability animal model that included batch and parity effects. Flat priors were used to represent vague previous knowledge about parity and batch effects. Additive and residual effects were represented assuming that they were a priori normally distributed. Variance components were assumed to follow either uniform or inverted chi-square distributions, a priori. The use of different priors did not affect the results substantially. Heritabilities for ovulation rate ranged from 0.32 to 0.39, and from 0.11 to 0.16 for prenatal survival, depending on the prior used. The mean of the marginal posterior distribution of response to four generations of selection ranged from 0.38 to 0.40 ova per generation, and from 1.1 to 1.3% of the mean survival rate for average survival per generation.
authors.affiliation: Departamento de Ciencia Animal, Universidad Politécnica de Valencia, Valencia 46071, Spain. ablasco@dca.upv.es
authors.forename: A
authors.initials: A
authors.lastname: Blasco
authors.forename: D
authors.initials: D
authors.lastname: Sorensen
authors.forename: J P
authors.initials: JP
authors.lastname: Bidanel
mesh_terms: D000818:Animals; D001499:Bayes Theorem; D005260:Female; D008098:Litter Size / Q000235:genetics*; D009010:Monte Carlo Method; D010060:Ovulation; D012641:Selection, Genetic; D013552:Swine