Comparison of models for the genetic evaluation of reproductive traits with censored data in Nellore cattle

Página do item simplificado
dc.contributor.authorGarcia, D. A. [UNESP]
dc.contributor.authorRosa, G. J.M.
dc.contributor.authorValente, B. D.
dc.contributor.authorCarvalheiro, R. [UNESP]
dc.contributor.authorAlbuquerque, L. G. [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniversity of Wisconsin–Madison
dc.date.accessioned2018-12-11T17:28:44Z
dc.date.available2018-12-11T17:28:44Z
dc.date.issued2016-06-01
dc.description.abstractIn typical genetic evaluation, often some females have missing records due to reproductive failure and due to voluntary and involuntary culling before the breeding season. These partially or unobserved phenotypes are known as censored records and their inclusion into genetic evaluations might lead to better inferences and breeding value predictions. Then, the objective was to compare prediction ability of models in which the phenotypic expression of age at the first calving (AFC) and days to calving (DC) were considered to be censored and uncensored in a Nellore cattle population. Age at first calving and days to calving were analyzed as following: uncensored animals (LM); penalization of 21 d (PLM); censored records simulated from truncated normal distributions (CLM); threshold-linear model in which censored records were handled as missing (TLM) or coded as the upper AFC/DC value within contemporary group (PTLM); and Weibull frailty hazard model (WM). Pearson correlations (PC), the percentage of the 10% best bulls in common (pTOP10%), accuracy of estimated breeding values (r), and a cross-validation scheme were performed. Heritability estimates for AFC were 0.18, 0.12, 0.12, 0.17, 0.14, and 0.07 for LM, PLM, CLM, TLM, PTLM, and WM, respectively. PC and pTOP10% were higher among linear models and smaller between these models and WM. The models provided similar r of sire breeding values. Heritability estimates for DC were 0.03, 0.08, 0.06, 0.02, 0.07, and 0.10 for LM, PLM, CLM, TLM, PTLM, and WM, respectively. Strongly associated predictions were observed in CLM, PLM, PTLM, and WM. The highest coincidence levels of sires in the TOP10% were between CLM, PLM, and PTLM. The r of sire breeding values obtained applying CLM, PLM, PTLM, and WM were similar and higher than those obtained with LM and TLM. In terms of prediction ability, WM, PLM, TLM, and PTLM showed similar prediction performance for AFC. On the other hand, CLM, PLM, PTLM, and WM showed the similar prediction ability for DC Therefore, these models would be recommended to perform genetic evaluation of age at first calving and days to calving in this Nellore population.en
dc.description.affiliationDepartment of Animal Science UNESP, Prof. Paulo Donato Castellani Road
dc.description.affiliationDepartment of Animal Science University of Wisconsin–Madison, 1675 Observatory Drive
dc.description.affiliationUnespDepartment of Animal Science UNESP, Prof. Paulo Donato Castellani Road
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipIdCAPES: 1817-12-4
dc.description.sponsorshipIdFAPESP: 2009/15010-6
dc.format.extent2297-2306
dc.identifierhttp://dx.doi.org/10.2527/jas.2016-0273
dc.identifier.citationJournal of Animal Science, v. 94, n. 6, p. 2297-2306, 2016.
dc.identifier.doi10.2527/jas.2016-0273
dc.identifier.file2-s2.0-84975789322.pdf
dc.identifier.issn1525-3163
dc.identifier.issn0021-8812
dc.identifier.scopus2-s2.0-84975789322
dc.identifier.urihttp://hdl.handle.net/11449/178098
dc.language.isoeng
dc.relation.ispartofJournal of Animal Science
dc.relation.ispartofsjr0,848
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.subjectAge at first calving
dc.subjectBayesian models
dc.subjectBeef cattle
dc.subjectDays to calving
dc.titleComparison of models for the genetic evaluation of reproductive traits with censored data in Nellore cattleen
dc.typeArtigo

Arquivos

Coleções

Artigos - Zootecnia - FCAV