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Journal Article

Genetic and genomic characterization followed by single-step genomic evaluation of withers height in German Warmblood horses

Sarah Vosgerau; Nina Krattenmacher; Clemens Falker-Gieske; Anita Seidel; Jens Tetens; Kathrin F. Stock; Wietje Nolte; Mirell Wobbe; Iulia Blaj; Reinhard Reents; Christa Kühn; Mario von Depka Prondzinski; Ernst Kalm; Georg Thaller
Journal of Applied Genetics · Vol. 63, Issue 2 · pp. 369-378 · 2022

Abstract

Reliability of genomic predictions is influenced by the size and genetic composition of the reference population. For German Warmblood horses, compilation of a reference population has been enabled through the cooperation of five German breeding associations. In this study, preliminary data from this joint reference population were used to genetically and genomically characterize withers height and to apply single-step methodology for estimating genomic breeding values for withers height. Using data on 2113 mares and their genomic information considering about 62,000 single nucleotide polymorphisms (SNPs), analysis of the genomic relationship revealed substructures reflecting breed origin and different breeding goals of the contributing breeding associations. A genome-wide association study confirmed a known quantitative trait locus (QTL) for withers height on equine chromosome (ECA) 3 close to LCORL and identified a further significant peak on ECA 1. Using a single-step approach with a combined relationship matrix, the estimated heritability for withers height was 0.31 (SE = 0.08) and the corresponding genomic breeding values ranged from − 2.94 to 2.96 cm. A mean reliability of 0.38 was realized for these breeding values. The analyses of withers height showed that compiling a reference population across breeds is a suitable strategy for German Warmblood horses. The single-step method is an appealing approach for practical genomic prediction in horses, because not many genotypes are available yet and animals without genotypes can by this way directly contribute to the estimation system.

Bibliographic Information

JournalJournal of Applied Genetics
PublisherSpringer
Publication Date2022-05-01
Publication Year2022
Volume63
Issue2
Pages369-378
Document TypeJournal Article
Print ISSN1234-1983
eISSN2190-3883
DOI10.1007/s13353-021-00681-w

Access Information

NARA Access Coverage2006-01-01~Current
Journal Homepagehttps://www.springer.com/journal/13353
Publisher PageOpen Publisher Page
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