Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1054677
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dc.contributor.authorLOPES, F. B.pt_BR
dc.contributor.authorSILVA, M. C. dapt_BR
dc.contributor.authorMAGNABOSCO, C. de U.pt_BR
dc.contributor.authorNARCISO, M. G.pt_BR
dc.contributor.authorGONZALEZ, R. D. S.pt_BR
dc.date.accessioned2016-10-14T11:11:11Zpt_BR
dc.date.available2016-10-14T11:11:11Zpt_BR
dc.date.created2016-10-14pt_BR
dc.date.issued2016pt_BR
dc.identifier.citationPlos one, Jan. 2016.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1054677pt_BR
dc.descriptionAbstract: This research evaluated a multivariate approach as an alternative tool for the purpose of selection regarding expected progeny differences (EPDs). Data were fitted using a multi-trait model and consisted of growth traits (birth weight and weights at 120, 210, 365 and 450 days of age) and carcass traits (longissimus muscle area (LMA), back-fat thickness (BF), and rump fat thickness (RF)), registered over 21 years in extensive breeding systems of Polled Nellore cattle in Brazil. Multivariate analyses were performed using standardized (zero mean and unit variance) EPDs. The k mean method revealed that the best fit of data occurred using three clusters (k = 3) (P < 0.001). Estimates of genetic correlation among growth and carcass traits and the estimates of heritability were moderate to high, suggesting that a correlated response approach is suitable for practical decision making. Estimates of correlation between selection indices and the multivariate index (LD1) were moderate to high, ranging from 0.48 to 0.97. This reveals that both types of indices give similar results and that the multivariate approach is reliable for the purpose of selection. The alternative tool seems very handy when economic weights are not available or in cases where more rapid identification of the best animals is desired. Interestingly, multivariate analysis allowed forecasting information based on the relationships among breeding values (EPDs). Also, it enabled fine discrimination, rapid data summarization after genetic evaluation, and permitted accounting for maternal ability and the genetic direct potential of the animals. In addition, we recommend the use of longissimus muscle area and subcutaneous fat thickness as selection criteria, to allow estimation of breeding values before the first mating season in order to accelerate the response to individual selection.eng
dc.language.isoengpt_BR
dc.rightsopenAccesspt_BR
dc.subjectAnálise multivariadapt_BR
dc.subjectAvaliação genéticapt_BR
dc.titleSelection indices and multivariate analysis show similar results in the evaluation of growth and carcass traits in beef cattle.pt_BR
dc.typeArtigo de periódicopt_BR
dc.date.updated2017-02-08T11:11:11Zpt_BR
dc.subject.thesagroGado nelorept_BR
dc.subject.thesagroCarcaçapt_BR
dc.subject.nalthesaurusGrowth traitseng
dc.subject.nalthesaurusCarcass characteristicseng
dc.subject.nalthesaurusBeef cattleeng
riaa.ainfo.id1054677pt_BR
riaa.ainfo.lastupdate2017-02-08pt_BR
dc.identifier.doihttp://doi.org/10.1371/journal.pone.0147180pt_BR
dc.contributor.institutionCLAUDIO DE ULHOA MAGNABOSCO, CPAC; MARCELO GONCALVES NARCISO, CNPAF; ROBERTO DANIEL SAINZ GONZALEZ, CPAC.pt_BR
Appears in Collections:Artigo em periódico indexado (CPAC)

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