Comparison of models for the genetic evaluation of reproductive traits with censored data in Nellore cattle
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.2527/jas.2016-0273 http://hdl.handle.net/11449/178098 |
Resumo: | In 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. |
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Comparison of models for the genetic evaluation of reproductive traits with censored data in Nellore cattleAge at first calvingBayesian modelsBeef cattleDays to calvingIn 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.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Department of Animal Science UNESP, Prof. Paulo Donato Castellani RoadDepartment of Animal Science University of Wisconsin–Madison, 1675 Observatory DriveDepartment of Animal Science UNESP, Prof. Paulo Donato Castellani RoadCAPES: 1817-12-4FAPESP: 2009/15010-6Universidade Estadual Paulista (Unesp)University of Wisconsin–MadisonGarcia, D. A. [UNESP]Rosa, G. J.M.Valente, B. D.Carvalheiro, R. [UNESP]Albuquerque, L. G. [UNESP]2018-12-11T17:28:44Z2018-12-11T17:28:44Z2016-06-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article2297-2306http://dx.doi.org/10.2527/jas.2016-0273Journal of Animal Science, v. 94, n. 6, p. 2297-2306, 2016.1525-31630021-8812http://hdl.handle.net/11449/17809810.2527/jas.2016-02732-s2.0-849757893222-s2.0-84975789322.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal of Animal Science0,848info:eu-repo/semantics/openAccess2021-10-23T15:01:35Zoai:repositorio.unesp.br:11449/178098Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-23T15:01:35Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Comparison of models for the genetic evaluation of reproductive traits with censored data in Nellore cattle |
title |
Comparison of models for the genetic evaluation of reproductive traits with censored data in Nellore cattle |
spellingShingle |
Comparison of models for the genetic evaluation of reproductive traits with censored data in Nellore cattle Garcia, D. A. [UNESP] Age at first calving Bayesian models Beef cattle Days to calving |
title_short |
Comparison of models for the genetic evaluation of reproductive traits with censored data in Nellore cattle |
title_full |
Comparison of models for the genetic evaluation of reproductive traits with censored data in Nellore cattle |
title_fullStr |
Comparison of models for the genetic evaluation of reproductive traits with censored data in Nellore cattle |
title_full_unstemmed |
Comparison of models for the genetic evaluation of reproductive traits with censored data in Nellore cattle |
title_sort |
Comparison of models for the genetic evaluation of reproductive traits with censored data in Nellore cattle |
author |
Garcia, D. A. [UNESP] |
author_facet |
Garcia, D. A. [UNESP] Rosa, G. J.M. Valente, B. D. Carvalheiro, R. [UNESP] Albuquerque, L. G. [UNESP] |
author_role |
author |
author2 |
Rosa, G. J.M. Valente, B. D. Carvalheiro, R. [UNESP] Albuquerque, L. G. [UNESP] |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) University of Wisconsin–Madison |
dc.contributor.author.fl_str_mv |
Garcia, D. A. [UNESP] Rosa, G. J.M. Valente, B. D. Carvalheiro, R. [UNESP] Albuquerque, L. G. [UNESP] |
dc.subject.por.fl_str_mv |
Age at first calving Bayesian models Beef cattle Days to calving |
topic |
Age at first calving Bayesian models Beef cattle Days to calving |
description |
In 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. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-06-01 2018-12-11T17:28:44Z 2018-12-11T17:28:44Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.2527/jas.2016-0273 Journal of Animal Science, v. 94, n. 6, p. 2297-2306, 2016. 1525-3163 0021-8812 http://hdl.handle.net/11449/178098 10.2527/jas.2016-0273 2-s2.0-84975789322 2-s2.0-84975789322.pdf |
url |
http://dx.doi.org/10.2527/jas.2016-0273 http://hdl.handle.net/11449/178098 |
identifier_str_mv |
Journal of Animal Science, v. 94, n. 6, p. 2297-2306, 2016. 1525-3163 0021-8812 10.2527/jas.2016-0273 2-s2.0-84975789322 2-s2.0-84975789322.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Journal of Animal Science 0,848 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
2297-2306 |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
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1797789327786246144 |