Independent component regression applied to genomic selection for carcass traits in pigs

Authors

  • Camila Ferreira Azevedo Universidade Federal de Viçosa
  • Marcos Deon Vilela de Resende Embrapa Florestas
  • Fabyano Fonseca e Silva Universidade Federal de Viçosa
  • Paulo Sávio Lopes Universidade Federal de Viçosa
  • Simone Eliza Facioni Guimarães Universidade Federal de Viçosa

DOI:

https://doi.org/10.1590/S1678-3921.pab2013.v48.14002

Keywords:

Sus scrofa, BLUP, SNP markers, random regression, dimensional reduction

Abstract

The objective of this work was to evaluate the efficiency of the independent component regression (ICR) method for the estimation of genomic values and of SNP marker effects for carcass traits in a F2 pig population (Piau x commercial line). The methods were evaluated by the agreement between the genetic predicted values and the corrected phenotypes observed by cross‑validation, and they were also compared with other methods generally used for the same purposes, such as RR‑BLUP, PCR, and PLS. The ICR and PCR methods show similar results, but ICR has the highest accuracy prediction values.

Author Biography

Simone Eliza Facioni Guimarães, Universidade Federal de Viçosa

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Published

2013-09-05

How to Cite

Azevedo, C. F., Resende, M. D. V. de, Silva, F. F. e, Lopes, P. S., & Guimarães, S. E. F. (2013). Independent component regression applied to genomic selection for carcass traits in pigs. Pesquisa Agropecuaria Brasileira, 48(6), 619–626. https://doi.org/10.1590/S1678-3921.pab2013.v48.14002

Issue

v.48, n.6, jun. 2013

Section

GENETICS