Age at first calving of Nellore cattle in the semi-arid region of northeastern Brazil using linear, threshold, censored and penalty models

Basit Öğe Kaydı
dc.authoridMendes MALHADO, Ana Claudia/0000-0003-3621-779X
dc.contributor.authorMendes Malhado, Carlos Henrique
dc.contributor.authorMendes Malhado, Ana Claudia
dc.contributor.authorMartins Filho, Raimundo
dc.contributor.authorSouza Carneiro, Paulo Luiz
dc.contributor.authorPala, Akin
dc.contributor.authorCarrillo, Jose Adrian
dc.date.accessioned2025-01-27T20:11:56Z
dc.date.available2025-01-27T20:11:56Z
dc.date.issued2013
dc.departmentÇanakkale Onsekiz Mart Üniversitesi
dc.description.abstractData are typically discarded when there are inconsistencies in a database, or when information is discrepant or out of range for the biological characteristics of the species being analyzed. However, such loss of information could have considerable implications for genetic evaluation of cattle. Here, we use different models to estimate genetic parameters for age at first calving in order to prevent data elimination. We used five approaches based on trait distribution to define the limits of censure/disposal: linear model, censorship, penalty and missing methods, and threshold model (binary and polychotomous). Data splitting and Pearson correlation were used to evaluate fitting and comparison of models. The lowest heritabilities were estimated for the missing method and the binary model. Exclusion of outliers from the data considerably affects the estimation of genetic parameters and the ranking of sires. Moreover, models that suffered from data elimination generated the worst classifications in terms of the comparison of models. Researchers should be extremely careful when deciding to discard data. For example, an age at first calving up to 72 months could be considered an outlier for other countries or even other areas in Brazil. Although this value is very high, it could be realistic under arid or semi-arid conditions. In these situations, the penalty or censure models are the most appropriate methods of analyses. (C) 2013 Elsevier B.V. All rights reserved.
dc.identifier.doi10.1016/j.livsci.2013.02.021
dc.identifier.endpage33
dc.identifier.issn1871-1413
dc.identifier.issn1878-0490
dc.identifier.issue1-3
dc.identifier.scopus2-s2.0-84877108628
dc.identifier.scopusqualityQ1
dc.identifier.startpage28
dc.identifier.urihttps://doi.org/10.1016/j.livsci.2013.02.021
dc.identifier.urihttps://hdl.handle.net/20.500.12428/20784
dc.identifier.volume154
dc.identifier.wosWOS:000319852200004
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier
dc.relation.ispartofLivestock Science
dc.relation.publicationcategoryinfo:eu-repo/semantics/openAccess
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20250125
dc.subjectData splitting
dc.subjectGenetic parameter
dc.subjectMissing method
dc.subjectHeritability
dc.titleAge at first calving of Nellore cattle in the semi-arid region of northeastern Brazil using linear, threshold, censored and penalty models
dc.typeArticle

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu