Journal article
Non-additive genetic variation in growth, carcass and fertility traits of beef cattle
S Bolormaa, JE Pryce, Y Zhang, A Reverter, W Barendse, BJ Hayes, ME Goddard
Genetics Selection Evolution | Published : 2015
Abstract
Background: A better understanding of non-additive variance could lead to increased knowledge on the genetic control and physiology of quantitative traits, and to improved prediction of the genetic value and phenotype of individuals. Genome-wide panels of single nucleotide polymorphisms (SNPs) have been mainly used to map additive effects for quantitative traits, but they can also be used to investigate non-additive effects. We estimated dominance and epistatic effects of SNPs on various traits in beef cattle and the variance explained by dominance, and quantified the increase in accuracy of phenotype prediction by including dominance deviations in its estimation. Methods: Genotype data (729..
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Awarded by ARC project
Funding Acknowledgements
The authors would like to extend their sincere gratitude to B Tier, D Johnston, and HU Graser (Animal Genetics and Breeding Unit, Armidale, NSW 2351, Australia) for their involvement in selecting animals, collecting the phenotype sets and advice on appropriate models; to K Savin (DPI, Bundoora, VIC) for organising the genotype sets to be used; to KE Kemper for assistance in cleaning genotype data; to J Cook and Ch Girard (Animal Genetics and Breeding Unit, NSW, Australia), CM Reich and BA Mason (Department of Environment and Primary Industries (DEPI), Bundoora, VIC 3083, Australia), and RJ Bunch, BE Harrison and R McCulloch (CSIRO Animal, Food and Health Sciences, Queensland Bioscience Precinct, St. Lucia, QLD 4067, Australia) for their work on genotyping and especially to the staff of Beef CRC I, II and III who collected the phenotypic data used in this study. This work forms part of ARC project DP130102666.