M.D. Gómez, M. Valera, A. Molina, A. Menendez-Buxadera
Issue:
104-2 (133-138)
Topic:
Animal Production
Keywords:
Sportive competitions, Equine, Random regression, Breeding evaluation
Summary:
A total of 36212 racing performance data recorded between 1990 and 2006 from 2325 Trotter horses
in Spain were studied by Random Regression Model (RRM), in order to estimate the genetic
parameters for race performance in young horses (2-4 years old) of this breed by distances ranging
between 1600-2750m. The pedigree of each horse was extended until the fourth generation, with a
total of 9201 individuals. Racing time per kilometre over the trajectory of distances was the
dependent variable. The hippodrome-date of race (405), sex (3: male, female and gelding) and a second order Legendre polynomial were the fixed effects. The animals (9201), the driver (1007) and
the permanent environmental effects due to repetitions of records from the same animals were
incorporated as random with a Legendre polynomial of order 1 in the model. According to our
results, the additive variance components and the heritability (h2) decrease as race distance increase,
(ranging between h2=0.32 at 1600 m and h2=0.12 at 2700 m). The genetic correlations between close
distances were higher. With these results, it was possible to estimate the Breeding Value (BV) for all
animals and all distances represented in the data set. A very high variability was estimated for the
BV and important differences were detected in the form of responses of the horses along the
trajectory of distances. The use of RRM is highly recommended in the breeding programs of racing
performance of the Trotter horse in Spain.
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