COMPARISON OF SOME RANDOM REGRESSION MODELS FOR RACING PERFORMANCES OF BRITISH RACING HORSES IN TURKEY
Journal Title: Black Sea Journal of Agriculture - Year 2019, Vol 2, Issue 1
Abstract
This study was conducted to compare some random regression models applied to Legendre polynomials (L (2.2), L (2.3), L (3.2), L (3.3)) for that run on racing performance in British horses in Turkey. For this purpose, a total of 146850 race time record up to 15 races at different distances of 13625 horse taken from the Jockey Club of Turkey between the years of 2005 and 2016 was used. In this study, the genetic correlations between covariance components, heritabilities and race days for race completion times were estimated by using the DXMRR option in the DFREML statistical package program. The track type, the year and the horse's age, the fixed effect, the track distance were taken as covariates and the breeding value estimates were made. -2logL, Akaike information criterion (AIC), Bayesian information criterion (BIC), Error Variance (RV) and Log likelihood values were used to compare models. Heritabilities (0.24 to 0.28), additive genetic correlations (0.87 to 0.99) and phenotypic correlations (0.22 to 0.55) were estimated by L (2.3) random regression model which had the lowest -2LogL and BIC values. As a result, the L (2.3) model can be used for genetic evaluation and breeding of British racing horses.
Authors and Affiliations
Samet Hasan ABACI, Ümit COŞKUN, Hasan Önder
Keywords
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