Comparison of repeatable and random regression models for genetic parameter estimation on Thoroughbreds

Coskun U., Önder H., Abacı S. H.

LARGE ANIMAL REVIEW, vol.26, no.6, pp.349-352, 2020 (SCI-Expanded) identifier

  • Publication Type: Article / Article
  • Volume: 26 Issue: 6
  • Publication Date: 2020
  • Journal Name: LARGE ANIMAL REVIEW
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, CAB Abstracts, Veterinary Science Database
  • Page Numbers: pp.349-352
  • Keywords: Heritability, Random regression, REML, Repeatable animal models, Thoroughbreds, RACING PERFORMANCE, HORSES, SELECTION, TRAITS
  • Ondokuz Mayıs University Affiliated: Yes

Abstract

Introduction - The combination of multiple factors (track, year, ages, etc.) is effective in achieving the maximum level of race performance in Thoroughbreds.