The structure of the equine sector implies the need for collaborative approaches to implement genomic applications in sport horse breeding. Based on a multi-breed reference population of 5,000 horses from five breeds, a single step genomic evaluation system for linear conformation and performance traits was developed. Using two different validation approaches, forward and cross validation, medium (around 0.6) to high (over 0.9) correlations of genomic estimated breeding values (GEBVs) indicated stability of the developed system. Different relatedness between the breeds was reflected in the results, but the benefit of available genotypic data with regard to the variance of the GEBVs was found for each breed. According to the findings of this study, single-step genomic evaluation using a multi-breed reference population is a feasible approach for routine implementation of genomic selection in sport horses.
Proceedings of 12th World Congress on Genetics Applied to Livestock Production (WCGALP)
Technical and species orientated innovations in animal breeding, and contribution of genetics to solving societal challenges
EditorsR.F. Veerkamp and Y. de Haas
Published: 2022 Pages: 3364
eISBN: 978-90-8686-940-4
Book Type: Conference Proceedings
768. Single step genomic evaluation for horses based on a multibreed reference population
M. Wobbe Related information
1IT Solutions for Animal Production (vit), Heinrich-Schroeder-Weg 1, 27283 Verden, Germany.
2University of Veterinary Medicine Hannover (Foundation), Institute for Animal Breeding and Genetics, Buenteweg 17p, 30559 Hanover, Germany.
*Corresponding author: mirell. wobbe@vit. de
, H. Alkhoder Related information2University of Veterinary Medicine Hannover (Foundation), Institute for Animal Breeding and Genetics, Buenteweg 17p, 30559 Hanover, Germany.
*Corresponding author: mirell.
1IT Solutions for Animal Production (vit), Heinrich-Schroeder-Weg 1, 27283 Verden, Germany.
, Z. Liu Related information1IT Solutions for Animal Production (vit), Heinrich-Schroeder-Weg 1, 27283 Verden, Germany.
, S. Vosgerau Related information3Kiel University, Institute of Animal Breeding and Husbandry, Olshausenstr. 40, 24098 Kiel, Germany.
, N. Krattenmacher Related information3Kiel University, Institute of Animal Breeding and Husbandry, Olshausenstr. 40, 24098 Kiel, Germany.
, M. von Depka-Prondzinski Related information4Werlhof-Institut MVZ, Schillerstr. 23, 30159 Hanover, Germany.
, E. Kalm Related information3Kiel University, Institute of Animal Breeding and Husbandry, Olshausenstr. 40, 24098 Kiel, Germany.
, R. Reents Related information1IT Solutions for Animal Production (vit), Heinrich-Schroeder-Weg 1, 27283 Verden, Germany.
, W. Nolte Related information5Leibniz Institute for Farm Animal Biology (FBN), Institute of Genome Biology, Wilhelm-Stahl-Allee 2, 18196 Dummerstorf, Germany.
, C. Kühn Related information5Leibniz Institute for Farm Animal Biology (FBN), Institute of Genome Biology, Wilhelm-Stahl-Allee 2, 18196 Dummerstorf, Germany.
, J. Tetens Related information6University of Goettingen, DNTW Functional Breeding, Burkhardtweg 2, 37077 Goettingen, Germany.
, G. Thaller Related information3Kiel University, Institute of Animal Breeding and Husbandry, Olshausenstr. 40, 24098 Kiel, Germany.
, K.F. Stock Related information1IT Solutions for Animal Production (vit), Heinrich-Schroeder-Weg 1, 27283 Verden, Germany.
2University of Veterinary Medicine Hannover (Foundation), Institute for Animal Breeding and Genetics, Buenteweg 17p, 30559 Hanover, Germany.
2University of Veterinary Medicine Hannover (Foundation), Institute for Animal Breeding and Genetics, Buenteweg 17p, 30559 Hanover, Germany.
Pages: 3163 - 3166
Published Online: February 09, 2023
Abstract: