Items where Author is "Hayes, Ben J."

Article

Owada, K., Mahony, T. J., Ambrose, R. K., Hayes, B. J. and Soares Magalhães, R. J. (2024) Epidemiological Risk Factors and Modelling Approaches for Risk Assessment of Lumpy Skin Disease Virus Introduction and Spread: Methodological Review and Implications for Risk-Based Surveillance in Australia. Transboundary and Emerging Diseases, 2024 . p. 3090226. https://doi.org/10.1155/2024/3090226

Ong, C. T., Blackall, P. J., Boe-Hansen, G. B., deWet, S., Hayes, B. J., Indjein, L., Korolik, V., Minchin, C. M., Nguyen, L. T., Nordin, Y., Siddle, H., Turni, C., Venus, B., Westman, M. E., Zhang, Z. and Tabor, A. E. (2024) Whole-genome comparison using complete genomes from Campylobacter fetus strains revealed single nucleotide polymorphisms on non-genomic islands for subspecies differentiation. Frontiers in Microbiology, 15 . https://doi.org/10.3389/fmicb.2024.1452564

Warburton, C. L., Costilla, R., Engle, B. N., Corbet, N. J., Allen, J. M., Fordyce, G., McGowan, M. R., Burns, B. M. and Hayes, B. J. (2021) Breed-adjusted genomic relationship matrices as a method to account for population stratification in multibreed populations of tropically adapted beef heifers. Animal Production Science, 61 (18). pp. 1788-1795. https://doi.org/10.1071/AN21057

O'Connor, K. M., Hayes, B. J., Hardner, C. M., Alam, M., Henry, R. J. and Topp, B. L. (2021) Genomic selection and genetic gain for nut yield in an Australian macadamia breeding population. BMC Genomics, 22 (1). p. 370. https://doi.org/10.1186/s12864-021-07694-z

Hunt, C. H., Hayes, B. J., van Eeuwijk, F. A., Mace, E. S. and Jordan, D. R. (2020) Multi-environment analysis of sorghum breeding trials using additive and dominance genomic relationships. Theoretical and Applied Genetics, 133 . pp. 1009-1018. https://doi.org/10.1007/s00122-019-03526-7

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. https://doi.org/10.1186/s12711-020-00547-5

Hunt, C. H., van Eeuwijk, F. A., Mace, E. S., Hayes, B. J. and Jordan, D. R. (2018) Development of Genomic Prediction in Sorghum. Crop Science, 58 (2). pp. 690-700. https://doi.org/10.2135/cropsci2017.08.0469

Engle, B. N., Corbet, N. J., Allen, J. M., Laing, A. R., Fordyce, G., McGowan, M. R., Burns, B. M., Lyons, R. E. and Hayes, B. J. (2018) Multivariate genomic predictions for age at puberty in tropically adapted beef heifers. Journal of Animal Science, 97 (1). pp. 90-100. https://doi.org/10.1093/jas/sky428