IJAER

International Journal of Agriculture and Environmental Research™

ISSN 2455-6939

Title:
REGRESSION TREE ANALYSIS FOR PREDICTING RACE PERFORMANCE (SPEED) OF THOROUGHBRED RACEHORSES

Authors:
Yildirim F, Yaganoglu A. M., and Yildiz A.

Abstract:
Today, the sport has become a more important use for horses. The aim of the present was to predict the race speed or performance of Thoroughbred racehorses. For this reason, using parameters of sex, race age, dam age, race track, race distance, city, horse age taken body measurement and body measurements, the aim is to use regression tree analysis to identify the most important predictor of race speed. The racing records (2445 races) of Thoroughbred racehorses (46 males and 28 females, total 74 horses) in this study were provided by the Turkey Jockey Club. As a result, putting into consideration the relative importance of race track in constructing regresyon tree, it could be inferred that Thoroughbred racehorses running turf track would be 'speedy'. In the races on the dirt track, the effect of cities on the horses' speed was found to be significant. Especially the high speed of horses in Istanbul has come into prominence among the provinces. In addition, cannon bone circumferences of 22.5 cm or smaller and chest circumferences greater than 174.5 cm in Thoroughbred horses were observed to positively affect the speed.

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