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Journal of Animal Science Abstract - Animal Genetics

Technical note: A successive over-relaxation preconditioner to solve mixed model equations for genetic evaluation1

 

This article in JAS

  1. Vol. 94 No. 11, p. 4530-4535
     
    Received: May 24, 2016
    Accepted: Aug 18, 2016
    Published: October 13, 2016


    2 Corresponding author(s): kmeyer@une.edu.au
    kmeyer.agbu@gmail.com
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doi:10.2527/jas.2016-0665
  1. K. Meyer 2a
  1. a Animal Genetics and Breeding Unit,3 University of New England, Armidale NSW 2351, Australia

Abstract

A computationally efficient preconditioned conjugate gradient algorithm with a symmetric successive over-relaxation (SSOR) preconditioner for the iterative solution of set mixed model equations is described. The potential computational savings of this approach are examined for an example of single-step genomic evaluation of Australian sheep. Results show that the SSOR preconditioner can substantially reduce the number of iterates required for solutions to converge compared with simpler preconditioners with marked reductions in overall computing time.

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Copyright © 2016. American Society of Animal Science