Modelling repeated competition records in genetic evaluations of Danish sport horses.
Abstract: Genetic evaluations of sport performance typically consider competition records of ranking points in each competition, accumulated lifetime points or annual earnings. Repeated observations have the advantage of allowing for adjustment of effects associated with each competition such as rider experience, judge and competing horses, but also demands more computer capacity than single-trait records, which could prohibit multiple-trait evaluations. The aim of the study was to compare CPU times, estimated breeding values (EBVs), reliabilities and model prediction abilities when modelling repeated competition ranking points (run A), mean ranking points (runs B and C), mean ranking points precorrected for effects associated with each competition (run D) and accumulated lifetime points (run E) for Danish Warmblood horses. CPU times for run A were 632-776 times (show jumping) and 59-96 times (dressage) as high as for runs B-E. EBVs of run D were perfectly correlated (1.00) with those of run A. Reliabilities were highest in runs E and A. Best model prediction ability and least bias were found in run C (dressage) and run E (show jumping), but the best choice in each discipline was not preferable for the other. Run D was the second best in both disciplines (D), and is expected to increase in performance over time as omission of a relatively large amount of historic data becomes less important.
© 2015 Blackwell Verlag GmbH.
Publication Date: 2015-11-18 PubMed ID: 26582571DOI: 10.1111/jbg.12190Google Scholar: Lookup
The Equine Research Bank provides access to a large database of publicly available scientific literature. Inclusion in the Research Bank does not imply endorsement of study methods or findings by Mad Barn.
- Journal Article
Summary
This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.
This study is on the genetic evaluation of sport performance in Danish Warmblood horses, comparing various performance records to identify the most effective method of analysis.
Introduction
The research revolves around the genetic evaluations of sport performance in Danish Warmblood horses. It considers various competition records and performance data in models, with the end goal of identifying the most efficient and accurate methodology for performance evaluation. The researchers aim to balance the accuracy of results against the computational demands of the various methods.
Methods
- The research entails multiple runs using different variables and standards for comparison.
- These include repeated competition ranking points (run A), mean ranking points (runs B and C), mean ranking points pre-corrected for effects associated with each competition (run D), and the accumulated lifetime points (run E).
- The computational resources used for every run are compared, termed as CPU times.
Findings
- CPU times required for run A were significantly higher when compared to runs B to E.
- The results indicated that model ‘D’, involving mean ranking points pre-adjusted for each competition, matched perfectly with the results of model ‘A’, that used repeated competition ranking points.
- Highest reliabilities were observed in run E (accumulated lifetime points) and run A (repeated competition ranking points).
- The model offering the best predictive ability and least bias differed for dressage and show jumping. Run C proved best for dressage, while run E was optimal for show jumping.
Conclusion
- Model D was observed to be the second best in both disciplines and is expected to improve over time considering the relatively large amount of historical data incorporated.
In summary, the research identifies the use of mean ranking points pre-adjusted for every competition (model D) as an efficient and effective method for the genetic evaluation of sport performance in Danish Warmblood horses, balancing between computational demand and data accuracy.
Cite This Article
APA
Jönsson L, Madsen P, Mark T.
(2015).
Modelling repeated competition records in genetic evaluations of Danish sport horses.
J Anim Breed Genet, 133(4), 291-302.
https://doi.org/10.1111/jbg.12190 Publication
Researcher Affiliations
- Department of Clinical Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
- Danish Warmblood Association, Maarslet, Denmark.
- Department of Molecular Biology and Genetics, Center for Quantitative Genetics and Genomics, Aarhus University, Aarhus, Denmark.
- Department of Clinical Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
MeSH Terms
- Animals
- Female
- Horses / classification
- Horses / genetics
- Horses / physiology
- Male
- Models, Genetic
- Pedigree
- Physical Conditioning, Animal
Citations
This article has been cited 0 times.Use Nutrition Calculator
Check if your horse's diet meets their nutrition requirements with our easy-to-use tool Check your horse's diet with our easy-to-use tool
Talk to a Nutritionist
Discuss your horse's feeding plan with our experts over a free phone consultation Discuss your horse's diet over a phone consultation
Submit Diet Evaluation
Get a customized feeding plan for your horse formulated by our equine nutritionists Get a custom feeding plan formulated by our nutritionists
