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

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

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

Suggested Citation

  • Fernando Brito Lopes & Marcelo Corrêa da Silva & Cláudio Ulhôa Magnabosco & Marcelo Goncalves Narciso & Roberto Daniel Sainz, 2016. "Selection Indices and Multivariate Analysis Show Similar Results in the Evaluation of Growth and Carcass Traits in Beef Cattle," PLOS ONE, Public Library of Science, vol. 11(1), pages 1-21, January.
    • Handle: RePEc:plo:pone00:0147180
    DOI: 10.1371/journal.pone.0147180
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    Cited by:

    1. Jaromír Ducháček & Matúš Gašparík & Martin Ptáček & Luděk Stádník, 2021. "Screening of backfat thickness and musculus longissimus lumborum et thoracis depth of Aberdeen Angus cattle in Czech condition," Czech Journal of Animal Science, Czech Academy of Agricultural Sciences, vol. 66(5), pages 137-148.
    2. Luiza Rodrigues Alves Abreu & Virgínia Mara Pereira Ribeiro & Gabriela Canabrava Gouveia & Eduardo Penteado Cardoso & Fabio Luiz Buranelo Toral, 2018. "Genetic trends and trade-offs between growth and reproductive traits in a Nellore herd," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-14, August.

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