Document Detail


Random regression model estimation of genetic parameters for show-jumping results of Hungarian Sporthorses.
MedLine Citation:
PMID:  20646115     Owner:  NLM     Status:  In-Process    
Abstract/OtherAbstract:
The aim of this study was to estimate the genetic parameters for show-jumping competition performance of Hungarian Sporthorses using a random regression model. There were 21,210 records from 739 horses collected in Hungary between 1996 and 2004. Performance was expressed as shifted Blom normalized ranks and as the difference between fence height and fault points. The random regression model (RRM) included fixed effects for sex, year, location, and obstacle height and random effects for animal, rider and permanent environment. Regressions for the random effects in the RRM were modelled with Legendre polynomials from first to fifth order of fit. The model focused on performance of horses from 4 to 11 years of age, with heterogeneous residual variances considered. The heritabilities were low to moderate for both variables. Genetic and phenotypic correlations between different ages decreased with increasing distance between the ages.
Authors:
J Posta; S Malovhr; S Mihók; I Komlósi
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Journal of animal breeding and genetics = Zeitschrift für Tierzüchtung und Züchtungsbiologie     Volume:  127     ISSN:  1439-0388     ISO Abbreviation:  J. Anim. Breed. Genet.     Publication Date:  2010 Aug 
Date Detail:
Created Date:  2010-07-21     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  100955807     Medline TA:  J Anim Breed Genet     Country:  Germany    
Other Details:
Languages:  eng     Pagination:  280-8     Citation Subset:  IM    
Affiliation:
Institute of Animal Science, University of Debrecen, Debrecen, Hungary. postaj@agr.unideb.hu
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