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The Genetics of Racing Performance in Arabian Horses
Joint Authors
Ropka-Molik, Katarzyna
Stefaniuk-Szmukier, M.
Musiał, A. D.
Velie, B. D.
Source
International Journal of Genomics
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-09-02
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Arabian horses are commonly believed to be one of the oldest and most influential horse breeds in the world.
The high financial benefits obtained from races tend to search for genetic markers strongly correlated with the results achieved.
To date, the modern approaches such as transcriptome, miRNAome, and metabolome analyses have been used to investigate the genetic background of racing performance as well as endurance capacity in Arabians.
The analysis of polymorphisms at the genome level has also been applied to the detection of genetic variants associated with exercise phenotype in the Arabian breed.
The presented review summarizes these findings, with a focus on the genetics underlying flat racing and endurance performance traits in different Arabian horse populations.
American Psychological Association (APA)
Ropka-Molik, Katarzyna& Stefaniuk-Szmukier, M.& Musiał, A. D.& Velie, B. D.. 2019. The Genetics of Racing Performance in Arabian Horses. International Journal of Genomics،Vol. 2019, no. 2019, pp.1-8.
https://search.emarefa.net/detail/BIM-1165784
Modern Language Association (MLA)
Ropka-Molik, Katarzyna…[et al.]. The Genetics of Racing Performance in Arabian Horses. International Journal of Genomics No. 2019 (2019), pp.1-8.
https://search.emarefa.net/detail/BIM-1165784
American Medical Association (AMA)
Ropka-Molik, Katarzyna& Stefaniuk-Szmukier, M.& Musiał, A. D.& Velie, B. D.. The Genetics of Racing Performance in Arabian Horses. International Journal of Genomics. 2019. Vol. 2019, no. 2019, pp.1-8.
https://search.emarefa.net/detail/BIM-1165784
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1165784