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Reduced rank estimates of the genetic covariance matrix for live ultra-sound scan traits

  • Karin Meyer

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Multivariate restricted maximum likelihood analyses for a large data set comprising eight traits were carried out, estimating the leading 3, 4, 5 and 6 genetic principal components only. Traits were eye muscle area, percentage intra-muscular fat, and fat depth at the 12/13th rib and P8 sites, treating records on bulls and heifers or steers as different traits. The resulting, reduced rank estimates of genetic covariance matrices for analyses fitting 5 or 6 principal components agreed closely with an estimate from pooled, bivariate analysis. It is shown that reduced rank estimation can result in substantial reduction in computational requirements, compared to standard analyses fitting unstructured covariance matrices, and thus facilitate higher-dimensional multivariate analyses.
Original languageEnglish
Title of host publicationProceedings of the Association for the Advancement of Animal Breeding and Genetics
EditorsAAABG: Association for the Advancement of Animal Breeding, Genetics
Place of PublicationCollingwood, Australia
Pages56-59
Volume16
Publication statusPublished - 2005
EventAAABG 2005: 16th Conference of the Association for the Advancement of Animal Breeding and Genetics - Noosa Lakes, Australia
Duration: 25 Sept 200528 Sept 2005

Conference

ConferenceAAABG 2005: 16th Conference of the Association for the Advancement of Animal Breeding and Genetics
CityNoosa Lakes, Australia
Period25/09/0528/09/05

Keywords

  • Animal Breeding

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