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Bayesian threshold analysis of direct and maternal genetic parameters for piglet mortality at farrowing in Large White, Landrace, and Pietrain populations

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Bayesian threshold analysis of direct and maternal genetic parameters for piglet mortality at farrowing in Large White, Landrace, and Pietrain populations

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dc.contributor.author Ibáñez-Escriche, Noelia es_ES
dc.contributor.author Varona, L. es_ES
dc.contributor.author Casellas, J. es_ES
dc.contributor.author Quintanilla, R. es_ES
dc.contributor.author Noguera, J. L. es_ES
dc.date.accessioned 2020-03-16T14:46:48Z
dc.date.available 2020-03-16T14:46:48Z
dc.date.issued 2009-01 es_ES
dc.identifier.issn 0021-8812 es_ES
dc.identifier.uri http://hdl.handle.net/10251/138960
dc.description.abstract [EN] A Bayesian threshold model was fitted to analyze the genetic parameters for farrowing mortality at the piglet level in Large White, Landrace, and Pietrain populations. Field data were collected between 1999 and 2006. They were provided by 3 pig selection nucleus farms of a commercial breeding company registered in the Spanish Pig Data Bank (BDporc). Analyses were performed on 3 data sets of Large White (60,535 piglets born from 4,551 litters), Landrace (57,987 piglets from 5,008 litters), and Pietrain (42,707 piglets from 4,328 litters) populations. In the analysis, farrowing mortality was considered as a binary trait at the piglet level and scored as 1 (alive piglet) or 0 (dead piglet) at farrowing or within the first 12 h of life. Each breed was analyzed separately, and operational models included systematic effects (year-season, sex, litter size, and order of parity), direct and maternal additive genetic effects, and common litter effects. Analyses were performed by Bayesian methods using Gibbs sampling. The posterior means of direct heritability were 0.02, 0.06, and 0.10, and the posterior means of maternal heritability were 0.05, 0.13, and 0.06 for Large White, Landrace, and Pietrain populations, respectively. The posterior means of genetic correlation between the direct and maternal genetic effects for Landrace and Pietrain populations were -0.56 and -0.53, and the highest posterior intervals at 95% did not include zero. In contrast, the posterior mean of the genetic correlation between direct and maternal effects was 0.15 in the Large White population, with the null correlation included in the highest posterior interval at 95%. These results suggest that the genetic model of evaluation for the Landrace and Pietrain populations should include direct and maternal genetic effects, whereas farrowing mortality could be considered as a sow trait in the Large White population. es_ES
dc.description.sponsorship Financial support was provided by the IRTA, Spain (grant 050221102). The authors gratefully acknowledge the cooperative COPAGA (Lleida, Spain) for its collaboration and particularly thank Sergi Illan, Eva Ramells, and Eva Roca. es_ES
dc.language Inglés es_ES
dc.publisher American Society of Animal Science es_ES
dc.relation IRTA/0502-21102 es_ES
dc.relation.ispartof Journal of Animal Science es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Bayesian analysis es_ES
dc.subject Farrowing mortality es_ES
dc.subject Genetic parameter es_ES
dc.subject Piglet mortality es_ES
dc.subject Threshold model es_ES
dc.subject Variance component es_ES
dc.subject.classification PRODUCCION ANIMAL es_ES
dc.title Bayesian threshold analysis of direct and maternal genetic parameters for piglet mortality at farrowing in Large White, Landrace, and Pietrain populations es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.2527/jas.2007-0670 es_ES
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ciencia Animal - Departament de Ciència Animal es_ES
dc.description.bibliographicCitation Ibáñez-Escriche, N.; Varona, L.; Casellas, J.; Quintanilla, R.; Noguera, JL. (2009). Bayesian threshold analysis of direct and maternal genetic parameters for piglet mortality at farrowing in Large White, Landrace, and Pietrain populations. Journal of Animal Science. 87(1):80-87. https://doi.org/10.2527/jas.2007-0670 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.2527/jas.2007-0670 es_ES
dc.description.upvformatpinicio 80 es_ES
dc.description.upvformatpfin 87 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 87 es_ES
dc.description.issue 1 es_ES
dc.relation.pasarela S\392951 es_ES
dc.contributor.funder Institut de Recerca i Tecnologia Agroalimentàries es_ES


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