Generalized linear mixed models for the genetic evaluation of binary reproductive traits: a simulation study
| dc.contributor.author | Garcia, Diogo Anastácio | |
| dc.contributor.author | Pereira, Idalmo Garcia [UFVJM] | |
| dc.contributor.author | Fonseca e Silva, Fabyano | |
| dc.contributor.author | Rosa, Guilherme Jordão de Magalhães | |
| dc.contributor.author | Pires, Aldrin Vieira [UFVJM] | |
| dc.contributor.author | Leandro, Roseli Aparecida | |
| dc.contributor.institution | Universidade Estadual Paulista (UNESP) | |
| dc.contributor.institution | Universidade Federal dos Vales do Jequitinhonha e Mucuri (UFVJM) | |
| dc.contributor.institution | Universidade Federal de Viçosa (UFV) Departamento de Estatística | |
| dc.contributor.institution | University of Wisconsin Department of Dairy Science | |
| dc.contributor.institution | ESALQ LCE Departamento de Ciências Exatas | |
| dc.date.accessioned | 2017-03-06T17:59:30Z | |
| dc.date.available | 2017-03-06T17:59:30Z | |
| dc.date.issued | 2012-01-01 | |
| dc.description.abstracts | 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 (h^2) 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 h^² 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 (h^2), 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. | en |
| dc.description.sponsorship | Fundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG) | |
| dc.description.sponsorship | Empresa de Pesquisa Agropecuária de Minas Gerais (EPAMIG) | |
| dc.description.sponsorship | Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) | |
| dc.description.sponsorship | Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) | |
| dc.identifier | http://dx.doi.org/10.1590/S1516-35982012000100008 | |
| dc.identifier.citation | GARCIA, Diogo Anastácio et al. Generalized linear mixed models for the genetic evaluation of binary reproductive traits: a simulation study. Revista Brasileira de Zootecnia, Viçosa, v. 41, n. 1, p. 52-57, 2012. | pt_BR |
| dc.identifier.doi | 10.1590/S1516-35982012000100008 | |
| dc.identifier.issn | 1516-3598 | |
| dc.identifier.scielo | S1516-35982012000100008 | |
| dc.identifier.uri | https://acervo.ufvjm.edu.br/items/ada988ec-0b47-4295-ab7a-db577f1ce358 | |
| dc.language.iso | eng | |
| dc.publisher | Sociedade Brasileira de Zootecnia | |
| dc.relation.ispartof | Revista Brasileira de Zootecnia | |
| dc.rights.accessRights | Acesso aberto | |
| dc.source | SciELO | |
| dc.subject.keyword | Beef cattle | en |
| dc.subject.keyword | Early pregnancy | en |
| dc.subject.keyword | Genetic parameters | en |
| dc.subject.keyword | GLMM | en |
| dc.subject.keyword | Link function | en |
| dc.title | Generalized linear mixed models for the genetic evaluation of binary reproductive traits: a simulation study | en |
| dc.type | Artigo | pt_BR |