Generalized linear mixed models for the genetic evaluation of binary reproductive traits: a simulation study
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1590/S1516-35982012000100008 http://hdl.handle.net/11449/4391 |
Resumo: | The objective of this study was to evaluate the use of probit and logit link functions for the genetic evaluation of early pregnancy using simulated data. The following simulation/analysis structures were constructed: logit/logit, logit/probit, probit/logit, and probit/probit. The percentages of precocious females were 5, 10, 15, 20, 25 and 30% and were adjusted based on a change in the mean of the latent variable. The parametric heritability (h²) was 0.40. Simulation and genetic evaluation were implemented in the R software. Heritability estimates (ĥ²) were compared with h² using the mean squared error. Pearson correlations between predicted and true breeding values and the percentage of coincidence between true and predicted ranking, considering the 10% of bulls with the highest breeding values (TOP10) were calculated. The mean ĥ² values were under- and overestimated for all percentages of precocious females when logit/probit and probit/logit models used. In addition, the mean squared errors of these models were high when compared with those obtained with the probit/probit and logit/logit models. Considering ĥ², probit/probit and logit/logit were also superior to logit/probit and probit/logit, providing values close to the parametric heritability. Logit/probit and probit/logit presented low Pearson correlations, whereas the correlations obtained with probit/probit and logit/logit ranged from moderate to high. With respect to the TOP10 bulls, logit/probit and probit/logit presented much lower percentages than probit/probit and logit/logit. The genetic parameter estimates and predictions of breeding values of the animals obtained with the logit/logit and probit/probit models were similar. In contrast, the results obtained with probit/logit and logit/probit were not satisfactory. There is need to compare the estimation and prediction ability of logit and probit link functions. |
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Generalized linear mixed models for the genetic evaluation of binary reproductive traits: a simulation studybeef cattleearly pregnancygenetic parametersGLMMlink functionThe objective of this study was to evaluate the use of probit and logit link functions for the genetic evaluation of early pregnancy using simulated data. The following simulation/analysis structures were constructed: logit/logit, logit/probit, probit/logit, and probit/probit. The percentages of precocious females were 5, 10, 15, 20, 25 and 30% and were adjusted based on a change in the mean of the latent variable. The parametric heritability (h²) was 0.40. Simulation and genetic evaluation were implemented in the R software. Heritability estimates (ĥ²) were compared with h² using the mean squared error. Pearson correlations between predicted and true breeding values and the percentage of coincidence between true and predicted ranking, considering the 10% of bulls with the highest breeding values (TOP10) were calculated. The mean ĥ² values were under- and overestimated for all percentages of precocious females when logit/probit and probit/logit models used. In addition, the mean squared errors of these models were high when compared with those obtained with the probit/probit and logit/logit models. Considering ĥ², probit/probit and logit/logit were also superior to logit/probit and probit/logit, providing values close to the parametric heritability. Logit/probit and probit/logit presented low Pearson correlations, whereas the correlations obtained with probit/probit and logit/logit ranged from moderate to high. With respect to the TOP10 bulls, logit/probit and probit/logit presented much lower percentages than probit/probit and logit/logit. The genetic parameter estimates and predictions of breeding values of the animals obtained with the logit/logit and probit/probit models were similar. In contrast, the results obtained with probit/logit and logit/probit were not satisfactory. There is need to compare the estimation and prediction ability of logit and probit link functions.Fundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG)UNESP Faculdade de Ciências Agrárias e VeterináriasUFVJM FCA Departamento de ZootecniaUFV Departamento de EstatísticaUniversity of Wisconsin Department of Dairy ScienceESALQ LCE Departamento de Ciências ExatasUNESP Faculdade de Ciências Agrárias e VeterináriasSociedade Brasileira de ZootecniaUniversidade Estadual Paulista (Unesp)Universidade Federal dos Vales do Jequitinhonha e Mucuri (UFVJM)UFV Departamento de EstatísticaUniversity of Wisconsin Department of Dairy ScienceUniversidade de São Paulo (USP)Garcia, Diogo Anastácio [UNESP]Pereira, Idalmo GarciaFonseca e Silva, FabyanoRosa, Guilherme Jordão de MagalhãesPires, Aldrin VieiraLeandro, Roseli Aparecida2014-05-20T13:18:13Z2014-05-20T13:18:13Z2012-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article52-57application/pdfhttp://dx.doi.org/10.1590/S1516-35982012000100008Revista Brasileira de Zootecnia. Sociedade Brasileira de Zootecnia, v. 41, n. 1, p. 52-57, 2012.1516-3598http://hdl.handle.net/11449/439110.1590/S1516-35982012000100008S1516-35982012000100008WOS:000300431700008S1516-35982012000100008.pdfSciELOreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengRevista Brasileira de Zootecnia0,337info:eu-repo/semantics/openAccess2023-12-19T06:24:24Zoai:repositorio.unesp.br:11449/4391Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-12-19T06:24:24Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Generalized linear mixed models for the genetic evaluation of binary reproductive traits: a simulation study |
title |
Generalized linear mixed models for the genetic evaluation of binary reproductive traits: a simulation study |
spellingShingle |
Generalized linear mixed models for the genetic evaluation of binary reproductive traits: a simulation study Garcia, Diogo Anastácio [UNESP] beef cattle early pregnancy genetic parameters GLMM link function |
title_short |
Generalized linear mixed models for the genetic evaluation of binary reproductive traits: a simulation study |
title_full |
Generalized linear mixed models for the genetic evaluation of binary reproductive traits: a simulation study |
title_fullStr |
Generalized linear mixed models for the genetic evaluation of binary reproductive traits: a simulation study |
title_full_unstemmed |
Generalized linear mixed models for the genetic evaluation of binary reproductive traits: a simulation study |
title_sort |
Generalized linear mixed models for the genetic evaluation of binary reproductive traits: a simulation study |
author |
Garcia, Diogo Anastácio [UNESP] |
author_facet |
Garcia, Diogo Anastácio [UNESP] Pereira, Idalmo Garcia Fonseca e Silva, Fabyano Rosa, Guilherme Jordão de Magalhães Pires, Aldrin Vieira Leandro, Roseli Aparecida |
author_role |
author |
author2 |
Pereira, Idalmo Garcia Fonseca e Silva, Fabyano Rosa, Guilherme Jordão de Magalhães Pires, Aldrin Vieira Leandro, Roseli Aparecida |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Universidade Federal dos Vales do Jequitinhonha e Mucuri (UFVJM) UFV Departamento de Estatística University of Wisconsin Department of Dairy Science Universidade de São Paulo (USP) |
dc.contributor.author.fl_str_mv |
Garcia, Diogo Anastácio [UNESP] Pereira, Idalmo Garcia Fonseca e Silva, Fabyano Rosa, Guilherme Jordão de Magalhães Pires, Aldrin Vieira Leandro, Roseli Aparecida |
dc.subject.por.fl_str_mv |
beef cattle early pregnancy genetic parameters GLMM link function |
topic |
beef cattle early pregnancy genetic parameters GLMM link function |
description |
The objective of this study was to evaluate the use of probit and logit link functions for the genetic evaluation of early pregnancy using simulated data. The following simulation/analysis structures were constructed: logit/logit, logit/probit, probit/logit, and probit/probit. The percentages of precocious females were 5, 10, 15, 20, 25 and 30% and were adjusted based on a change in the mean of the latent variable. The parametric heritability (h²) was 0.40. Simulation and genetic evaluation were implemented in the R software. Heritability estimates (ĥ²) were compared with h² using the mean squared error. Pearson correlations between predicted and true breeding values and the percentage of coincidence between true and predicted ranking, considering the 10% of bulls with the highest breeding values (TOP10) were calculated. The mean ĥ² values were under- and overestimated for all percentages of precocious females when logit/probit and probit/logit models used. In addition, the mean squared errors of these models were high when compared with those obtained with the probit/probit and logit/logit models. Considering ĥ², probit/probit and logit/logit were also superior to logit/probit and probit/logit, providing values close to the parametric heritability. Logit/probit and probit/logit presented low Pearson correlations, whereas the correlations obtained with probit/probit and logit/logit ranged from moderate to high. With respect to the TOP10 bulls, logit/probit and probit/logit presented much lower percentages than probit/probit and logit/logit. The genetic parameter estimates and predictions of breeding values of the animals obtained with the logit/logit and probit/probit models were similar. In contrast, the results obtained with probit/logit and logit/probit were not satisfactory. There is need to compare the estimation and prediction ability of logit and probit link functions. |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012-01-01 2014-05-20T13:18:13Z 2014-05-20T13:18:13Z |
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/10.1590/S1516-35982012000100008 Revista Brasileira de Zootecnia. Sociedade Brasileira de Zootecnia, v. 41, n. 1, p. 52-57, 2012. 1516-3598 http://hdl.handle.net/11449/4391 10.1590/S1516-35982012000100008 S1516-35982012000100008 WOS:000300431700008 S1516-35982012000100008.pdf |
url |
http://dx.doi.org/10.1590/S1516-35982012000100008 http://hdl.handle.net/11449/4391 |
identifier_str_mv |
Revista Brasileira de Zootecnia. Sociedade Brasileira de Zootecnia, v. 41, n. 1, p. 52-57, 2012. 1516-3598 10.1590/S1516-35982012000100008 S1516-35982012000100008 WOS:000300431700008 S1516-35982012000100008.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Revista Brasileira de Zootecnia 0,337 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
52-57 application/pdf |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Zootecnia |
publisher.none.fl_str_mv |
Sociedade Brasileira de Zootecnia |
dc.source.none.fl_str_mv |
SciELO 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 |
|
_version_ |
1799965339116634112 |