Abstract
Abstract. The aim of this paper is to estimate heritabilities and to compare data transformation methods and models for Hungarian Sporthorse show jumping results. The analysis is based on data collected between 1996 and 2005. The linear animal model included fixed effects of gender, breeder, rider, age, and start (coded as year of competition, type of competition and height of obstacle). Square root, cubic and fourth roots, Blom score and cotangent transformed ranks were used as measurements of performance. Difference the height of the obstacle and fault points, height of the obstacle and height of the obstacle and fault point were also used as performance traits. Variance and covariance components were estimated with VCE-5 software package. Model fit was evaluated by log-likelihood values and Akaike’s information criterion (AIC). Heritability was low for each performance trait and each model. The poorest goodnessof- fit model was the difference between height of the obstacle and fault points, whereas the best fitting genetic model based on AIC was from using the cotangent transformation.
Highlights
Different methods have been utilized for the evaluation of performance events in sport horses. KOENEN (2002) reported about testing and genetic evaluation of sport horses from an international perspective
The overall objective of the present work was to estimate heritabilities of show jumping results of Hungarian Sporthorses when records were subjected to a variety of statistical transformations
Records of a horse were taken into account only if its two or more generation pedigree was documented in the Hungarian Sporthorse Studbook
Summary
Different methods have been utilized for the evaluation of performance events in sport horses. KOENEN (2002) reported about testing and genetic evaluation of sport horses from an international perspective. KOENEN (2002) reported about testing and genetic evaluation of sport horses from an international perspective. Different methods have been utilized for the evaluation of performance events in sport horses. The evaluation of such results is difficult because performance frequently is evaluated subjectively, may be a function of a number of other traits and may not be normally distributed. Because earnings might be related to the difficulty and prestige of a sport event, breeding value estimation is based on mathematical transformations of earnings ranks in some countries. There is a substantial German literature on genetic parameters of various performance traits of the horse (BUGISLAUS et al 2004)
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