Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/4352
Title: Estimating genetic merit when genotype data are incomplete
Contributor(s): Tier, Bruce  (author); Bunter, Kim Louise  (author)
Publication Date: 2003
Handle Link: https://hdl.handle.net/1959.11/4352
Abstract: Direct markers for QTL are becoming available and, for traits that are difficult to measure or observed later in life, offer the potential to increase the accuracy of EBVs. While genotyping costs are non-trivial, QTL information will not be available for all individuals - with important consequences for genetic evaluation systems. Using simulated populations in which all parents and some progeny are genotyped for a QTL acting additively, two methods of using genotypic information are compared with EBVs based on the infintessimal model. Both methods - deregressing EBVs for the QTL effect according to their accuracy, or using heterogeneous residual variances - improve correlations between simulated and estimated genetic merit, particularly for individuals without performance data.
Publication Type: Conference Publication
Conference Details: AAABG 2003: 15th Conference of the Association for the Advancement of Animal Breeding and Genetics, Melbourne, Australia, 7-11 July, 2003
Source of Publication: Proceedings of the Association for the Advancement of Animal Breeding and Genetics, v.15, p. 214-217
Publisher: Association for the Advancement of Animal Breeding and Genetics (AAABG)
Place of Publication: Armidale, Australia
ISSN: 1328-3227
Fields of Research (FoR) 2008: 070201 Animal Breeding
Socio-Economic Objective (SEO) 2008: 830308 Pigs
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
Publisher/associated links: http://trove.nla.gov.au/work/22223828?selectedversion=NBD24379203
http://www.aaabg.org/livestocklibrary/2003/214-217.pdf
Appears in Collections:Animal Genetics and Breeding Unit (AGBU)
Conference Publication

Files in This Item:
2 files
File Description SizeFormat 
Show full item record

Page view(s)

1,258
checked on Mar 17, 2024
Google Media

Google ScholarTM

Check


Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.