Selection Indices and Multivariate Analysis Show Similar Results in the Evaluation of Growth and Carcass Traits in Beef Cattle

Fernando Brito Lopes, Marcelo Corrêa da Silva, Cláudio Ulhôa Magnabosco, Marcelo Goncalves Narciso and Roberto Daniel Sainz

PLOS ONE, 2016, vol. 11, issue 1, 1-21

Abstract: 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

Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0147180

DOI: 10.1371/journal.pone.0147180

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