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Correlated genetic trend in the environmental variability of weight traits in mice

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Correlated genetic trend in the environmental variability of weight traits in mice

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dc.contributor.author Moreno, A. es_ES
dc.contributor.author Ibanez-Escriche, Noelia es_ES
dc.contributor.author García-Ballesteros, S. es_ES
dc.contributor.author Salgado, C. es_ES
dc.contributor.author Nieto, B. es_ES
dc.contributor.author Gutiérrez, J. P. es_ES
dc.date.accessioned 2020-03-12T06:51:45Z
dc.date.available 2020-03-12T06:51:45Z
dc.date.issued 2012-09 es_ES
dc.identifier.issn 1871-1413 es_ES
dc.identifier.uri http://hdl.handle.net/10251/138740
dc.description.abstract [EN] Genetic trends for weight traits and their environmental variability were analysed in an experimental mice population selected during 17 generations to increase weight gain by comparing three selection methods: classic selection with random mating (Method A), classic weighted selection with random mating (Method B) and classic selection with minimum coancestry mating (Method C). Males were selected based on their own phenotypic records for WG. The analysis involved three traits: weight at 21 days (W21), weight at 42 days (W42) and weight gain between 21 and 42 days (WG). Genetic trends were obtained by averaging, within generations, the breeding values obtained for the traits and their environmental variability under a classical animal model assuming that the environmental variance is homogeneous and an alternative model assuming the heterogeneous environmental variance is partly under genetic control. All the genetic trends were positive for the traits and negative for their environmental variability but the trend in phenotypic variances was steady showing that the model analysing the environmental variability failed to separate correctly the genetic from the systematic effects under an artificial selection scenario. The higher additive genetic variance estimated under the heterogeneity model led to higher genetic trends when this model was used, thus changing the order of the preferred methods of selection moving Method B form intermediate to be the worst. The results also showed that correlated changes in the variability of weight gain and related traits originated as a consequence of selection process in the trait, but these changes do not seem to be unfavourable for the animals since the scale effect tends to compensate the correlated reduction in variability of these traits. es_ES
dc.description.sponsorship This paper was partially funded by a Grant from the Spanish Government (AGL2008-00794). es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Livestock Science es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Canalisation es_ES
dc.subject Environmental variability es_ES
dc.subject Genetic trend es_ES
dc.subject Weight gain es_ES
dc.subject Mice es_ES
dc.subject.classification PRODUCCION ANIMAL es_ES
dc.title Correlated genetic trend in the environmental variability of weight traits in mice es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.livsci.2012.05.009 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//AGL2008-00794/ES/SELECCION PARA EL CARACTER VARIABILIDAD DEL PESO AL NACIMIENTO EN MUS MUSCULUS/ 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 Moreno, A.; Ibanez-Escriche, N.; García-Ballesteros, S.; Salgado, C.; Nieto, B.; Gutiérrez, JP. (2012). Correlated genetic trend in the environmental variability of weight traits in mice. Livestock Science. 148(1-2):189-195. https://doi.org/10.1016/j.livsci.2012.05.009 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.livsci.2012.05.009 es_ES
dc.description.upvformatpinicio 189 es_ES
dc.description.upvformatpfin 195 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 148 es_ES
dc.description.issue 1-2 es_ES
dc.relation.pasarela S\395258 es_ES
dc.contributor.funder Ministerio de Ciencia e Innovación es_ES


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