ORIGINAL PAPER
Genetic parameters estimation and breeding values prediction for linear described traits in the Old Kladruber horse
L. Vostrý 1, 2  
,   J. Přibyl 2, 1,   K. Mach 1,   I. Majzlík 1
 
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1
Czech University of Life Science, Faculty of Agrobiology, Food and Natural Resources, Prague, Kamýcká 129, 165 21 Prague 6-Suchdol, Czech Republic
2
Institute of Animal Science, Přátelství 815, 104 00 Prague-Uhřiněves, Czech Republic
CORRESPONDING AUTHOR
L. Vostrý   

Czech University of Life Science, Faculty of Agrobiology, Food and Natural Resources, Prague, Kamýcká 129, 165 21 Prague 6-Suchdol, Czech Republic; Institute of Animal Science, Přátelství 815, 104 00 Prague-Uhřiněves, Czech Republic
Publication date: 2011-08-04
 
J. Anim. Feed Sci. 2011;20(3):338–349
 
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ABSTRACT
Genetic parameters estimates and breeding values for 36 conformation traits repeatedly observed over 16 years with a linear description of the type were evaluated for 977 Old Kladruber horses. The genetic parameters were estimated using the restricted maximum likelihood method with a multitrait animal model. The model included the following fixed effects: breed variant, herd, breed variant × herd interaction, sex, age at description, and year of description. Random effects, such as the individual and permanent environmental effect of the animal, were also included. The heritability estimates for traits were between 0.04 and 0.65, while the values of genetic correlation were in the interval of -0.68 to 0.96. Standard deviations of the breeding values of conformation traits were between 0.14 and 1.03. The breeding values will be used for more effective selection of typical conformation traits in the Old Kladruber horse.
 
CITATIONS (2):
1.
Estimation of genetic parameters for linear type traits in the population of sport horses in the Czech Republic
A. Novotná, A. Svitáková, Z. Veselá, L. Vostrý
Livestock Science
 
2.
Genetic Parameters of Some Conformational Traits in Iraqi Arabian Horses
Allawi AL-Khauzai, Amir Towfik, Ahmed Munahi
IOP Conference Series: Earth and Environmental Science
 
ISSN:1230-1388