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

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.institutionUniv Wisconsin
dc.date.accessioned2018-11-27T16:41:25Z
dc.date.available2018-11-27T16:41:25Z
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.affiliationUniv Estadual Paulista, Dept Anim Sci, Prof Paulo Donato Castellani Rd, BR-14884900 Sao Paulo, Brazil
dc.description.affiliationUniv Wisconsin, Dept Anim Sci, 1675 Observ Dr, Madison, WI 53706 USA
dc.description.affiliationUnespUniv Estadual Paulista, Dept Anim Sci, Prof Paulo Donato Castellani Rd, BR-14884900 Sao Paulo, Brazil
dc.format.extent2297-2306
dc.identifierhttp://dx.doi.org/10.2527/jas2016-0273
dc.identifier.citationJournal Of Animal Science. Champaign: Amer Soc Animal Science, v. 94, n. 6, p. 2297-2306, 2016.
dc.identifier.doi10.2527/jas2016-0273
dc.identifier.issn0021-8812
dc.identifier.urihttp://hdl.handle.net/11449/165198
dc.identifier.wosWOS:000377430700007
dc.language.isoeng
dc.publisherAmer Soc Animal Science
dc.relation.ispartofJournal Of Animal Science
dc.relation.ispartofsjr0,848
dc.rights.accessRightsAcesso aberto
dc.sourceWeb of Science
dc.subjectage at first calving
dc.subjectbeef cattle
dc.subjectBayesian models
dc.subjectdays to calving
dc.titleComparison of models for the genetic evaluation of reproductive traits with censored data in Nellore cattleen
dc.typeArtigo
dcterms.rightsHolderAmer Soc Animal Science
unesp.departmentZootecnia - FCAVpt

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