Use of whole-genome sequence data and novel genomic selection strategies to improve selection for age at puberty in tropically-adapted beef heifersExport / Share Share this record       Export this recordPlumX View Altmetrics View AltmetricsWarburton, 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
Article Link: https://doi.org/10.1186/s12711-020-00547-5 Publisher URL: https://gsejournal.biomedcentral.com/articles/10.1186/s12711-020-00547-5 AbstractIn 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.
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