title: Evaluation of non-additive genetic variation in feed-related traits of broiler chickens.
abstract: Genome-wide association mapping and genomic predictions of phenotype of individuals in livestock are predominately based on the detection and estimation of additive genetic effects. Non-additive genetic effects are largely ignored. Studies in animals, plants, and humans to assess the impact of non-additive genetic effects in genetic analyses have led to differing conclusions. In this paper, we examined the consequences of including non-additive genetic effects in genome-wide association mapping and genomic prediction of total genetic values in a commercial population of 5,658 broiler chickens genotyped for 45,176 single nucleotide polymorphism (SNP) markers. We employed mixed-model equations and restricted maximum likelihood to analyze 7 feed related traits (TRT1 - TRT7). Dominance variance accounted for a significant proportion of the total genetic variance in all 7 traits, ranging from 29.5% for TRT1 to 58.4% for TRT7. Using a 5-fold cross-validation schema, we found that in spite of the large dominance component, including the estimated dominance effects in the prediction of total genetic values did not improve the accuracy of the predictions for any of the phenotypes. We offer some possible explanations for this counter-intuitive result including the possible confounding of dominance deviations with common environmental effects such as hatch, different directional effects of SNP additive and dominance variations, and the gene-gene interactions' failure to contribute to the level of variance.
authors.affiliation: CSIRO Agriculture and Food, St. Lucia, QLD 4067, Australia.
authors.forename: Y
authors.initials: Y
authors.lastname: Li
authors.affiliation: Cobb-Vantress Inc., Siloam Springs, Arkansas 72761-1030.
authors.forename: R
authors.initials: R
authors.lastname: Hawken
authors.affiliation: Cobb-Vantress Inc., Siloam Springs, Arkansas 72761-1030.
authors.forename: R
authors.initials: R
authors.lastname: Sapp
authors.affiliation: CSIRO Data61, Dutton Park, QLD 4102, Australia.
authors.forename: A
authors.initials: A
authors.lastname: George
authors.affiliation: CSIRO Agriculture and Food, St. Lucia, QLD 4067, Australia.
authors.forename: S A
authors.initials: SA
authors.lastname: Lehnert
authors.affiliation: Cobb-Vantress Inc., Siloam Springs, Arkansas 72761-1030.
authors.forename: J M
authors.initials: JM
authors.lastname: Henshall
authors.affiliation: CSIRO Agriculture and Food, St. Lucia, QLD 4067, Australia.
authors.forename: A
authors.initials: A
authors.lastname: Reverter
mesh_terms: D000818:Animals; D002645:Chickens / Q000235:genetics* / Q000502:physiology; D004032:Diet / Q000662:veterinary; D005247:Feeding Behavior; D005260:Female; D014644:Genetic Variation; D055106:Genome-Wide Association Study; D008297:Male; D008957:Models, Genetic; D010641:Phenotype
keywords: accuracy of genomic prediction; broiler; dominance; feed-related trait; non-additive genetic variation