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The accuracy of genomic prediction for meat quality traits in Hanwoo cattle when using genotypes from different SNP densities and preselected variants from imputed whole genome sequence

Mohammed Bedhane https://orcid.org/0000-0003-4149-4118 A * , Julius van der Werf A , Sara de las Heras-Saldana A , Dajeong Lim B , Byoungho Park B , Mi Na Park B , Roh Seung Hee C and Samuel Clark A
+ Author Affiliations
- Author Affiliations

A School of Environmental and Rural Science, University of New England, Armidale, NSW 2350, Australia.

B National Institute of Animal Science, RDA, Seoul, Republic of Korea.

C Hanwoo Genetic Improvement Centre, Nagi, Republic of Korea.

* Correspondence to: benegash@gmail.com

Handling Editor: Marina Fortes

Animal Production Science 62(1) 21-28 https://doi.org/10.1071/AN20659
Submitted: 5 December 2020  Accepted: 1 August 2021   Published: 5 November 2021



2 articles found in Crossref database.

Parameter estimation and assessment of bias in genetic evaluation of carcass traits in Hanwoo cattle using real and simulated data
Bedhane Mohammed, van der Werf Julius, de las Heras-Saldana Sara, Ackerson Leland, Lim Dajeong, Park Byoungho, Park Mi Na, Roh Seunghee, Clark Samuel
Journal of Animal Science and Technology. 2023 65(6). p.1180
636. Genomic regions in Australian cattle associated with consumer satisfaction of beef
Proceedings of 12th World Congress on Genetics Applied to Livestock Production (WCGALP) (2022)
Lynn A.M., McGilchrist P., Aliloo H., van der Werf J.H. J., Polkinghorne R., Clark S.A.

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