Publication :
Heritability estimates of antler and body traits in white-tailed deer (Odocoileus virginianus) from genomic-relatedness matrices.

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Date
2020-07-21
Auteurs
Jamieson, Aidan
Anderson, Spencer J.
Northrup, Joseph M.
Shafer, Aaron B. A
Direction de publication
Direction de recherche
Titre de la revue
ISSN de la revue
Titre du volume
Éditeur
Oxford University Press
Projets de recherche
Structures organisationnelles
Numéro de revue
Résumé
Estimating heritability (h²) is required to predict the response to selection and is useful in species that are managed or farmed using trait information. Estimating h² in free-ranging populations is challenging due to the need for pedigrees; genomic-relatedness matrices (GRMs) circumvent this need and can be implemented in nearly any system where phenotypic and genome-wide single-nucleotide polymorphism (SNP) data are available. We estimated the heritability of 5 body and 3 antler traits in a free-ranging population of white-tailed deer (Odocoileus virginianus) on Anticosti Island, Quebec, Canada. We generated classic and robust GRMs from >10,000 SNPs: hind foot length, dressed body mass, and peroneus muscle mass had high h² values of 0.62, 0.44, and 0.55, respectively. Heritability in male-only antler features ranged from 0.07 to 0.33. We explored the influence of filtering by minor allele frequency and data completion on h²: GRMs derived from fewer SNPs had reduced h² estimates and the relatedness coefficients significantly deviated from those generated with more SNPs. As a corollary, we discussed limitations to the application of GRMs in the wild, notably how skewed GRMs, specifically many unrelated individuals, can increase variance around h² estimates. This is the first study to estimate h² on a free-ranging population of white-tailed deer and should be informative for breeding designs and management as these traits could respond to selection.
Description
Revue
Journal of heredity, Vol. 111, (5), 429–435 (2020)
DOI
10.1093/jhered/esaa023
URL vers la version publiée
Mots-clés
Quantitative genetics , Animal model , Pedigree free , Antlers , Natural population , Game farm , Harvest
Citation
Type de document
article de recherche