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Use of whole-genome sequence data and novel genomic selection strategies to improve selection for age at puberty in tropically-adapted beef heifers

Warburton, C. L., Engle, B. N., Ross, E. M., Costilla, R., Moore, S. S., Corbet, N. J., Allen, J. M., Laing, A. R., Fordyce, G., Lyons, R. E., McGowan, M. R., Burns, B. M. and Hayes, B. J. (2020) Use of whole-genome sequence data and novel genomic selection strategies to improve selection for age at puberty in tropically-adapted beef heifers. Genetics Selection Evolution, 52 (1). p. 28. ISSN 1297-9686

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Article Link(s): https://doi.org/10.1186/s12711-020-00547-5

Publisher URL: https://gsejournal.biomedcentral.com/articles/10.1186/s12711-020-00547-5

Abstract

In tropically-adapted beef heifers, application of genomic prediction for age at puberty has been limited due to low prediction accuracies. Our aim was to investigate novel methods of pre-selecting whole-genome sequence (WGS) variants and alternative analysis methodologies; including genomic best linear unbiased prediction (GBLUP) with multiple genomic relationship matrices (MGRM) and Bayesian (BayesR) analyses, to determine if prediction accuracy for age at puberty can be improved.

Item Type:Article
Business groups:Animal Science
Additional Information:Open access
Subjects:Science > Biology > Genetics
Science > Biology > Reproduction
Animal culture > Breeding and breeds
Animal culture > Cost, yield and profit. Accounting
Animal culture > Cattle
Deposited On:08 Jun 2020 05:19
Last Modified:08 Jun 2020 05:19

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