Generalized linear mixed models for the genetic evaluation of binary reproductive traits: a simulation study

dc.contributorUniversidade Estadual Paulista (UNESP)
dc.creatorGarcia, Diogo Anastácio
dc.creatorPereira, Idalmo Garcia
dc.creatorFonseca e Silva, Fabyano
dc.creatorRosa, Guilherme Jordão de Magalhães
dc.creatorPires, Aldrin Vieira
dc.creatorLeandro, Roseli Aparecida
dc.date2014-05-20T13:18:13Z
dc.date2014-05-20T13:18:13Z
dc.date2012-01-01
dc.date.accessioned2017-04-05T19:40:19Z
dc.date.available2017-04-05T19:40:19Z
dc.identifierRevista Brasileira de Zootecnia. Sociedade Brasileira de Zootecnia, v. 41, n. 1, p. 52-57, 2012.
dc.identifier1516-3598
dc.identifierhttp://hdl.handle.net/11449/4391
dc.identifier10.1590/S1516-35982012000100008
dc.identifierS1516-35982012000100008
dc.identifierWOS:000300431700008
dc.identifierS1516-35982012000100008.pdf
dc.identifierhttp://dx.doi.org/10.1590/S1516-35982012000100008
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/853679
dc.descriptionThe 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.
dc.languageeng
dc.publisherSociedade Brasileira de Zootecnia
dc.relationRevista Brasileira de Zootecnia
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectbeef cattle
dc.subjectearly pregnancy
dc.subjectgenetic parameters
dc.subjectGLMM
dc.subjectlink function
dc.titleGeneralized linear mixed models for the genetic evaluation of binary reproductive traits: a simulation study
dc.typeOtro


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