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Effect of Different Data Exclusion Policies on the Heritability of Fat Depth in Maternal, Merino and Terminal Sheep

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

Abstract

The effect of different data exclusion policies for post weaning fat depth on heritability estimates were examined using industry data for Maternal, Merino and Terminal sheep. The exclusion policies which had the most positive effect on heritability were mean fat depth for the contemporary group (CG), and standard deviation of fat depth for the contemporary group. Exclusion based on mean weight of the CG showed some effectiveness for light animals. Excluding records based on mean age of the CG had no effect on heritability estimates. In order for fat depth to be analysed most appropriately animals should be measured when they have had the opportunity to express the trait. It is appropriate to exclude CGs from the analysis where the variation in fat depth for a CG is low to improve heritability. The impact of these data exclusions on the utility of breeding values would need to be investigated in each analysis before any policies can be implemented.
Original languageEnglish
Title of host publicationProceedings of the Association for the Advancement of Animal Breeding and Genetics
EditorsKim Bunter, Tim Byrne, Hans Daetwyler, Susanne Hermesch, Kathryn Kemper, James Kijas, David Nation, Wayne Pitchford, Suzanne Rowe, Matt Shaffer, Alison van Eenennaam
Place of PublicationArmidale, Australia
PublisherAssociation for the Advancement of Animal Breeding and Genetics (AAABG)
Pages417-420
Volume21
ISBN (Print)9780646945545
Publication statusPublished - 2015
EventAAABG 2015: 21st Conference of the Association for the Advancement of Animal Breeding and Genetics - Lorne, Australia
Duration: 28 Sept 201530 Sept 2015

Conference

ConferenceAAABG 2015: 21st Conference of the Association for the Advancement of Animal Breeding and Genetics
CityLorne, Australia
Period28/09/1530/09/15

Keywords

  • Animal Breeding

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