ArticlePloS one2013
Estimated breeding values for canine hip dysplasia radiographic traits in a cohort of Australian German Shepherd dogs.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Enhancing the Selection and Performance of Working Dogs.Frontiers in veterinary science · 2021Review
- Heritability of Unilateral Elbow Dysplasia in the Dog: A Retrospective Study of Sire and Dam Influence.Frontiers in veterinary science · 2019Article
- Article
- Assessing the relative importance of health and conformation traits in the cavalier king Charles spaniel.Canine genetics and epidemiology · 2018Article
- Application of a Bayesian ordinal animal model for the estimation of breeding values for the resistance toBreeding science · 2017Article
- Genetic mapping of principal components of canine pelvic morphology.Canine genetics and epidemiology · 2017Article
- Long-term genetic selection reduced prevalence of hip and elbow dysplasia in 60 dog breeds.PloS one · 2017Article
- Whole-genome sequence, SNP chips and pedigree structure: building demographic profiles in domestic dog breeds to optimize genetic-trait mapping.Disease models & mechanisms · 2016Article
- Quantitative trait loci mapping for canine hip dysplasia and its related traits in UK Labrador Retrievers.BMC genomics · 2014Article
- Article
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5 authors.
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Abstract
Canine hip dysplasia (CHD) is a serious and common musculoskeletal disease of pedigree dogs and therefore represents both an important welfare concern and an imperative breeding priority. The typical heritability estimates for radiographic CHD traits suggest that the accuracy of breeding dog selection could be substantially improved by the use of estimated breeding values (EBVs) in place of selection based on phenotypes of individuals. The British Veterinary Association/Kennel Club scoring method is a complex measure composed of nine bilateral ordinal traits, intended to evaluate both early and late dysplastic changes. However, the ordinal nature of the traits may represent a technical challenge for calculation of EBVs using linear methods. The purpose of the current study was to calculate EBVs of British Veterinary Association/Kennel Club traits in the Australian population of German Shepherd Dogs, using linear (both as individual traits and a summed phenotype), binary and ordinal methods to determine the optimal method for EBV calculation. Ordinal EBVs correlated well with linear EBVs (r = 0.90-0.99) and somewhat well with EBVs for the sum of the individual traits (r = 0.58-0.92). Correlation of ordinal and binary EBVs varied widely (r = 0.24-0.99) depending on the trait and cut-point considered. The ordinal EBVs have increased accuracy (0.48-0.69) of selection compared with accuracies from individual phenotype-based selection (0.40-0.52). Despite the high correlations between linear and ordinal EBVs, the underlying relationship between EBVs calculated by the two methods was not always linear, leading us to suggest that ordinal models should be used wherever possible. As the population of German Shepherd Dogs which was studied was purportedly under selection for the traits studied, we examined the EBVs for evidence of a genetic trend in these traits and found substantial genetic improvement over time. This study suggests the use of ordinal EBVs could increase the rate of genetic improvement in this population.
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