Using Genomic Information to Estimate Genotype by Environment Interactions

Title
Using Genomic Information to Estimate Genotype by Environment Interactions
Publication Date
2015
Author(s)
Clark, Sam A
( author )
OrcID: https://orcid.org/0000-0001-8605-1738
Email: sclark37@une.edu.au
UNE Id une-id:sclark37
Lee, Sang Hong
Van Der Werf, Julius H
( author )
OrcID: https://orcid.org/0000-0003-2512-1696
Email: jvanderw@une.edu.au
UNE Id une-id:jvanderw
Editor
Editor(s): Kim Bunter, Tim Byrne, Hans Daetwyler, Susanne Hermesch, Kathryn Kemper, James Kijas, David Nation, Wayne Pitchford, Suzanne Rowe, Matt Shaffer, Alison van Eenennaam
Type of document
Conference Publication
Language
en
Entity Type
Publication
Publisher
Association for the Advancement of Animal Breeding and Genetics (AAABG)
Place of publication
Armidale, Australia
UNE publication id
une:19669
Abstract
Genotype by environment (GxE) interaction can reduce genetic gain because there is often insufficient information for accurate selection in each environment. Traditionally the estimation of GxE effects has been based on the performance of half siblings across environments. This limits the estimation of GxE to specifically designed datasets with close relatives where all realized relationships may not be utilized. Genomic information can also be used to link animals and presents an opportunity to compare genotypes across different environments using realized relationship information. This study examines the use of genomic information to estimate GxE interaction. The genetic correlation between animal phenotypic performance in two different environments was estimated using pedigree or genomic information. A higher genetic correlation between environments was observed when using genomic information (0.9) than when using pedigree information (0.71). This study suggests that genomic information may be a useful alternative to pedigree information in understanding GxE in livestock populations.
Link
Citation
Proceedings of the Association for the Advancement of Animal Breeding and Genetics, v.21, p. 137-140
ISSN
1328-3227
ISBN
9780646945545
Start page
137
End page
140

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