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Genetic evaluation and selection response for growth in meat-type quail through random regression models using B-spline functions and Legendre polynomials

dc.contributor.authorMota, L. F. M. [UNESP]
dc.contributor.authorMartins, P. G. M. A.
dc.contributor.authorLittiere, T. O.
dc.contributor.authorAbreu, L. R. A.
dc.contributor.authorSilva, M. A.
dc.contributor.authorBonafe, C. M.
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionFed Inst Northern Minas Gerais
dc.contributor.institutionUniversidade Federal de Viçosa (UFV)
dc.contributor.institutionUniversidade Federal de Minas Gerais (UFMG)
dc.date.accessioned2018-11-26T15:47:43Z
dc.date.available2018-11-26T15:47:43Z
dc.date.issued2018-04-01
dc.description.abstractThe objective was to estimate (co)variance functions using random regression models (RRM) with Legendre polynomials, B-spline function and multi-trait models aimed at evaluating genetic parameters of growth traits in meat-type quail. A database containing the complete pedigree information of 7000 meat-type quail was utilized. The models included the fixed effects of contemporary group and generation. Direct additive genetic and permanent environmental effects, considered as random, were modeled using B-spline functions considering quadratic and cubic polynomials for each individual segment, and Legendre polynomials for age. Residual variances were grouped in four age classes. Direct additive genetic and permanent environmental effects were modeled using 2 to 4 segments and were modeled by Legendre polynomial with orders of fit ranging from 2 to 4. The model with quadratic B-spline adjustment, using four segments for direct additive genetic and permanent environmental effects, was the most appropriate and parsimonious to describe the covariance structure of the data. The RRM using Legendre polynomials presented an underestimation of the residual variance. Lesser heritability estimates were observed for multi-trait models in comparison with RRM for the evaluated ages. In general, the genetic correlations between measures of BW from hatching to 35 days of age decreased as the range between the evaluated ages increased. Genetic trend for BW was positive and significant along the selection generations. The genetic response to selection for BW in the evaluated ages presented greater values for RRM compared with multi-trait models. In summary, RRM using B-spline functions with four residual variance classes and segments were the best fit for genetic evaluation of growth traits in meat-type quail. In conclusion, RRM should be considered in genetic evaluation of breeding programs.en
dc.description.affiliationState Univ Sao Paulo, Fac Agr & Vet Sci, Dept Anim Sci, BR-14884900 Jaboticabal, SP, Brazil
dc.description.affiliationFed Inst Northern Minas Gerais, BR-39900000 Almenara, MG, Brazil
dc.description.affiliationFed Univ Jequitinhonha & Mucuri Valleys, Dept Anim Sci, BR-39100000 Diamantina, MG, Brazil
dc.description.affiliationUniv Fed Minas Gerais, Sch Vet, BR-30123970 Belo Horizonte, MG, Brazil
dc.description.affiliationUnespState Univ Sao Paulo, Fac Agr & Vet Sci, Dept Anim Sci, BR-14884900 Jaboticabal, SP, Brazil
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG)
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.description.sponsorshipIdFAPEMIG: BPD 00292-14 - CVZ-PPM 00913-15
dc.description.sponsorshipIdCNPq: 474149/2013-7
dc.description.sponsorshipIdCAPES: 23038.008980/2013-90
dc.format.extent667-674
dc.identifierhttp://dx.doi.org/10.1017/S1751731117001951
dc.identifier.citationAnimal. Cambridge: Cambridge Univ Press, v. 12, n. 4, p. 667-674, 2018.
dc.identifier.doi10.1017/S1751731117001951
dc.identifier.fileWOS000427774000001.pdf
dc.identifier.issn1751-7311
dc.identifier.urihttp://hdl.handle.net/11449/160165
dc.identifier.wosWOS:000427774000001
dc.language.isoeng
dc.publisherCambridge Univ Press
dc.relation.ispartofAnimal
dc.relation.ispartofsjr0,842
dc.rights.accessRightsAcesso abertopt
dc.sourceWeb of Science
dc.subjectcovariance functions
dc.subjectgenetic correlation
dc.subjectsegmented polynomials
dc.titleGenetic evaluation and selection response for growth in meat-type quail through random regression models using B-spline functions and Legendre polynomialsen
dc.typeArtigopt
dcterms.licensehttp://journals.cambridge.org/action/displaySpecialPage?pageId=4676
dcterms.rightsHolderCambridge Univ Press
dspace.entity.typePublication
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Ciências Agrárias e Veterinárias, Jaboticabalpt

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