Wang Shizhi, Friedrich Juliane, Strandberg Erling, Arvelius Per, Wiener Pamela
Division of Genetics and Genomics, The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian, United Kingdom.
Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden.
Front Vet Sci. 2020 Aug 11;7:386. doi: 10.3389/fvets.2020.00386. eCollection 2020.
The BVA/KC (British Veterinary Association/Kennel Club) and FCI (Fédération Cynologique Internationale) are the main screening schemes used to evaluate the status of canine hip dysplasia (HD) in Europe. Jointly utilizing HD records from both BVA/KC and FCI schemes could improve the reliability of genetic evaluation within and across countries. In this study, HD scores for German shepherd dogs (GSDs) in the UK (using the BVA/KC scheme) and Sweden (using the FCI scheme) were used to investigate how to better operate joint genetic evaluations across the two schemes. It was shown that under a bivariate model, which regarded BVA/KC and FCI scores as different traits, the estimated genetic correlations between the UK and Swedish GSD populations were the same when using BVA/KC total or worse hip scores and for single-country or joint analysis of both the UK and Swedish populations. Under a univariate model that converted BVA/KC scores into FCI scores, the predictability of estimated breeding values was slightly improved by performing a joint analysis.
英国兽医协会/养犬俱乐部（BVA/KC）和国际犬业联合会（FCI）是欧洲用于评估犬髋关节发育不良（HD）状况的主要筛查方案。联合使用BVA/KC和FCI方案的HD记录可以提高国家内部和跨国遗传评估的可靠性。在本研究中，英国（采用BVA/KC方案）和瑞典（采用FCI方案）德国牧羊犬（GSD）的HD评分被用于研究如何更好地开展这两种方案的联合遗传评估。结果表明，在将BVA/KC和FCI评分视为不同性状的双变量模型下，使用BVA/KC总体或更差髋关节评分时，以及对英国和瑞典种群进行单国或联合分析时，英国和瑞典GSD种群之间的估计遗传相关性相同。在将BVA/KC评分转换为FCI评分的单变量模型下，通过进行联合分析，估计育种值的可预测性略有提高。
