Comparison of Random Regression Models with Different Order Legendre Polynomials for Genetic Parameter Estimation on Race Completion Speed of Arabian Horses

Autor: Hasan Önder, Uğur Şen, Dariusz Piwczyński, Magdalena Kolenda, Magdalena Drewka, Samet Hasan Abacı, Çiğdem Takma
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Animals, Vol 12, Iss 19, p 2630 (2022)
Druh dokumentu: article
ISSN: 2076-2615
DOI: 10.3390/ani12192630
Popis: This work aimed to compare the fitting performance of the random regression models applied to the different order orthogonal Legendre polynomials on the race completion speed (m/s) of Arabian racing horses. Legendre polynomial function for additive genetic, permanent environmental variances and heritability values with the L(2,2), L(2,3), L(3,2) and L(3,3) models (where L(i,j) means L(order of fit for additive genetic effects, order of fit for permanent environmental effects)) was estimated. A total of 233,491 race speed records (m/s) of Arabian horses were taken from the Jockey Club of Turkey between 2005 and 2016. The mean and standard deviation of heritability values were estimated as 0.294 ± 0.0746, 0.285 ± 0.0620, 0.302 ± 0.0767 and 0.290 ± 0.1018 for L(2,2), L(2,3), L(3,2), and L(3,3), respectively. The steady decreasing trend of permanent environmental variances for L(2,2) provided stationery for heritability values. According to Akaike information criterion (AIC) and Bayesian information criterion (BIC) values, the L(2,2) model could be reliably used to estimate heritability values for the racing speed of Arabian horses in the presence of repeated observations.
Databáze: Directory of Open Access Journals
Nepřihlášeným uživatelům se plný text nezobrazuje