01921naa a2200217 a 450000100080000000500110000800800410001902200140006002400420007410000160011624501350013226000090026752012200027665000340149665000250153065000250155570000160158070000160159670000160161277300750162810509072020-02-10       2011    bl uuuu     u00u1 u    #d  a0931-26687 a10.1111/j.1439-0388.2010.00912.x2DOI1 aAGUILAR, I.  aEfficient computation of the genomic relationship matrix and other matrices used in single-step evaluation.h[electronic resource]  c2011  aABSTRACT.  Genomic evaluations can be calculated using a unified procedure that combines phenotypic, pedigree and genomic information. Implementation of such a procedure requires the inverse of the relationship matrix based on pedigree and genomic relationships. The objective of this study was to investigate efficient computing options to create relationship matrices based on genomic markers and pedigree information as well as their inverses. SNP maker information was simulated for a panel of 40K SNPs, with the number of genotyped animals up to 30000. Matrix multiplication in the computation of the genomic relationship was by a simple 'do' loop, by two optimized versions of the loop, and by a specific matrix multiplication subroutine. Inversion was by a generalized inverse algorithm and by a LAPACK subroutine. With the most efficient choices and parallel processing, creation of matrices for 30000 animals would take a few hours. Matrices required to implement a unified approach can be computed efficiently. Optimizations can be either by modifications of existing code or by the use of efficient automatic optimizations provided by open source or third-party libraries.  © 2011 Blackwell Verlag GmbH.  aMEJORAMIENTO GENÉTICO ANIMAL  aMODELOS MATEMÁTICOS  aSELECCIÓN GENÓMICA1 aMISZTAL, I.1 aLEGARRA, A.1 aTSURUTA, S.  tJournal of Animal Breeding and Genetics, 2011gv.128, no.6, p.422-428.