Effects of long-time series of data on genetic evaluations for performance of Swedish Warmblood riding horses.
Abstract: For Swedish Warmblood sport horses, breeding values (BVs) are predicted using a multiple-trait animal model with results from competitions and young horse performance tests. Data go back to the beginning of the 1970s, and earlier studies have indicated that some of the recorded traits have changed through the years. The objective of this study was to investigate the effects of including all performance data or excluding the older ones compared to a bivariate model (BM) considering performance traits in early and late periods as separate traits. The bivariate approach was assumed to give the most correct BVs for the actual breeding population. Competition results in dressage and show jumping for almost 40 000 horses until 2006 were available. For riding horse quality test (RHQT), data of 14 000 horses judged between 1973 and 2007 were used. Genetic correlations of 0.69 to 1.00 were estimated between traits recorded at different time periods (RHQT data) or different birth year groups (competition data). A cross-validation study and comparison of BVs using different sets of data showed that most accurate and similar results were obtained when BVs were predicted from either the BM or the univariate model including all data from the beginning of the recording. We recommend using all data and applying the univariate model to minimise the computational efforts for genetic evaluations and for provision of reliable BVs for as many horses as possible.
Publication Date: 2010-11-01 PubMed ID: 22445143DOI: 10.1017/S1751731110001175Google Scholar: Lookup
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- Journal Article
Summary
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This research investigates the effect of using long-term data on the evaluation of breeding values in Swedish Warmblood sport horses. It concludes that using a univariate model encompassing all data from the beginning of the recording offered the most accurate and comparable results, and was therefore recommended for future evaluations.
Objective of the Study
- The main objective of this study was to inspect the impact of including all performance data or excluding the older ones when estimating breeding values (BVs) of Swedish Warmblood sport horses.
About the Research
- A multiple-trait animal model was used for the prediction of BVs, which incorporated results from competitions and young horse performance tests.
- The data used goes back to the early 1970s, making it a comprehensive and long-term dataset.
- A significant aspect of this study is the investigation of a bivariate model (BM), in which performance traits in early and late periods were considered as separate traits. This was assumed to provide the most accurate BVs for the present breeding population.
Research Findings
- Data from nearly 40,000 horses until 2006 was analyzed for competition results in dressage and show jumping. Moreover, riding horse quality test data from 14,000 horses, judged between 1973 and 2007, were used.
- It was found that genetic correlations between traits recorded at different time periods or different birth year groups were between 0.69 to 1.00.
- A cross-validation study was performed and BVs were compared using different sets of data. It was found that the most accurate and similar results were obtained when predicting BVs from either the BM or the univariate model incorporating all data from the beginning of the recording.
- The researchers recommend the use of all data and the application of the univariate model to minimize computational efforts for genetic evaluations. This approach is also favourable for providing reliable BVs for as many horses as possible.
Cite This Article
APA
Viklund A, Näsholm A, Strandberg E, Philipsson J.
(2010).
Effects of long-time series of data on genetic evaluations for performance of Swedish Warmblood riding horses.
Animal, 4(11), 1823-1831.
https://doi.org/10.1017/S1751731110001175 Publication
Researcher Affiliations
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, SE-750 07 Uppsala, Sweden.
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