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Towards an improved estimation of the biological components of residual feed intake in growing cattle

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Towards an improved estimation of the biological components of residual feed intake in growing cattle

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dc.contributor.author Savietto, Davi es_ES
dc.contributor.author Berry, D.P. es_ES
dc.contributor.author Friggens, N.C. es_ES
dc.date.accessioned 2016-07-21T10:02:59Z
dc.date.available 2016-07-21T10:02:59Z
dc.date.issued 2014-02
dc.identifier.issn 0021-8812
dc.identifier.uri http://hdl.handle.net/10251/67958
dc.description.abstract Residual feed intake (RFI) is the difference between observed and predicted feed intake. It is calculated as the residuals from a multiple regression model of DMI on the various energy expenditures (e.g., maintenance, growth, activity). Residual feed intake is often cited to be indicative of feed efficiency differences among animals. However, explaining a large proportion of the (phenotypic and genetic) interanimal variation in RFI remains difficult. Here we first describe a biological framework for RFI dwelling on similarities between RFI and energy balance. Alternative phenotypic and genetic statistical models are subsequently applied to a dataset of 1,963 growing bulls of 2 British and 3 Continental breeds. The novel aspect of this study was the use of a mixed model framework to quantify the heritable interanimal variation in the partial regression coefficients on the energy expenditure traits within the RFI equation. Heritable genetic variation in individual animal regression coefficients for metabolic live weight existed. No significant genetic variation in animal-level regression coefficients for growth or body fat level, however, existed in the study population. The presence of genetic variation in the partial regression coefficient of maintenance suggests the existence of interanimal variation in maintenance efficiency. However, it could also simply reflect interanimal genetic variation in correlated energy expenditure traits not included in the statistical model. Estimated breeding values for the random regression coefficient could be useful phenotypes in themselves for studies wishing to elucidate the underlying mechanisms governing differences among animals in RFI. es_ES
dc.description.sponsorship Financial support is gratefully acknowledged from the Marie Curie Initial Training Network project Greenhouse Milk funded by the European Commission, Framework 7. Contribution of the data from the Irish Cattle Breeding Federation is also acknowledged. en_EN
dc.language Inglés es_ES
dc.publisher American Society of Animal Science es_ES
dc.relation Marie Curie Initial Training Network project Greenhouse Milk es_ES
dc.relation European Commission es_ES
dc.relation.ispartof Journal of Animal Science es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Beef es_ES
dc.subject Feed efficiency es_ES
dc.subject Genetic es_ES
dc.subject Residual feed intake es_ES
dc.subject Random regression es_ES
dc.subject.classification PRODUCCION ANIMAL es_ES
dc.title Towards an improved estimation of the biological components of residual feed intake in growing cattle es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.2527/jas.2013-6894
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 Savietto, D.; Berry, D.; Friggens, N. (2014). Towards an improved estimation of the biological components of residual feed intake in growing cattle. Journal of Animal Science. 92(2):467-476. doi:10.2527/jas.2013-6894 es_ES
dc.description.accrualMethod Senia es_ES
dc.relation.publisherversion http://dx.doi.org/10.2527/jas.2013-6894 es_ES
dc.description.upvformatpinicio 467 es_ES
dc.description.upvformatpfin 476 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 92 es_ES
dc.description.issue 2 es_ES
dc.relation.senia 261239 es_ES


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