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Professor Ben Hayes
Professor

Ben Hayes

Email: 
Phone: 
+61 7 334 62173

Overview

Background

Professor Hayes has extensive research experience in genetic improvement of livestock, crop, pasture and aquaculture species, with a focus on integration of genomic information into breeding programs, including leading many large scale projects which have successfully implemented genomic technologies in livestock and cropping industries. Author of more than 300 journal papers, including in Nature Genetics, Nature Reviews Genetics, and Science, contributing to statistical methodology for genomic, microbiome and metagenomic profile predictions, quantitative genetics including knowledge of genetic mechanisms underlying complex traits, and development of bioinformatics pipelines for sequence analysis. Thomson Reuters highly cited researcher in 2015, 2016, 2017 and 2018.

Availability

Professor Ben Hayes is:
Available for supervision

Qualifications

  • Doctor of Philosophy, Central Queensland University
  • Certificate of Quantum Information, Computation and Communication, Massachusetts Institute of Technology

Research impacts

Genomic prediction, of which Ben Hayes was a co-inventor, and first described in the seminal publication [Meuwissen THE, Hayes BJ, Goddard ME (2001) Prediction of total genetic value using genome-wide dense marker maps. Genetics 157, 1819-1829] is now being used very widely in livestock and crops to predict future trait outcomes. The technology is also being used increasingly in human disease research.

In dairy cattle, the technology has been actively used by the industry for the past five years, and increases in genetic gain for key economic traits can be demonstrated. Nearly every dairy bull worldwide chosen for widespread use in the industry is now selected on the basis of genomic predictions. Dr Hayes has been an invited speaker at numerous high profile conferences, including the Biology of Genomes conference at Cold Spring Harbor May 2015, and also has a number of youtube videos explaining complex trait prediction for a general audience, one of which has been viewed more than 5000 times (https://www.youtube.com/watch?v=RovnCsda-zQ).

Ben Hayes led the program on animal improvement of the Dairy Futures CRC, which concluded June 2016. The animal improvement program in the Dairy Futures CRC is a successful research and utilisation program which has a very high level of industry input and collaboration. The value of the program was recognised recently when it was awarded a Cooperative Research Centres Association (CRCA) Award for Excellence in Innovation. The Dairy Futures CRC under the leadership of Dr. Hayes successfully developed and implemented a genomic breeding value for feed efficiency, which has been widely adopted by the industry.

Dr. Hayes established the 1000 bull genomes project, a consortium of over 30 institutes across the globe, which has assembled whole genome sequences of 1682 cattle of 55 breeds. The consortium has published a widely cited paper in Nature Genetics (Daetwyler et al. 2014), and has already led to more than 50 companion papers.

Works

Search Professor Ben Hayes’s works on UQ eSpace

399 works between 2000 and 2024

101 - 120 of 399 works

2021

Conference Publication

Investigating host biomarkers associated with cattle tick resistance

Mantilla Valdivieso, E., Ross, E., Hayes, B., Jonsson, N., James, P. and Tabor, A. (2021). Investigating host biomarkers associated with cattle tick resistance. 33rd Biennial Conference of the Australian Association of Animal Sciences, Fremantle, WA, Australia and online, 1-3 February 2020. Toowong, QLD, Australia: Australian Association of Animal Sciences.

Investigating host biomarkers associated with cattle tick resistance

2021

Journal Article

Breed-adjusted genomic relationship matrices as a method to account for population stratification in multibreed populations of tropically adapted beef heifers

Warburton, Christie L., Costilla, Roy, Engle, Bailey N., Corbet, Nicholas J., Allen, Jack M., Fordyce, Geoffry, McGowan, Michael R., Burns, Brian M. and Hayes, Ben 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), 1788-1795. doi: 10.1071/an21057

Breed-adjusted genomic relationship matrices as a method to account for population stratification in multibreed populations of tropically adapted beef heifers

2021

Conference Publication

Factors affecting fertility in northern Australian beef herds

Copley, J., Engle, B., Ross, E., Landmark, S., Fordyce, G., Burns, B. and Hayes, B. (2021). Factors affecting fertility in northern Australian beef herds. 33rd Biennial Conference of the Australian Association of Animal Sciences, Fremantle, WA, Australia and online, 1-3 February 2020. Toowong, QLD, Australia: Australian Association of Animal Sciences.

Factors affecting fertility in northern Australian beef herds

2020

Journal Article

Feed preference response of weaner bull calves to Bacillus amyloliquefaciens H57 probiotic and associated volatile organic compounds in high concentrate feed pellets

Ngo, Thi Thuy, Bang, Nguyen N., Dart, Peter, Callaghan, Matthew, Klieve, Athol, Hayes, Ben and McNeill, David (2020). Feed preference response of weaner bull calves to Bacillus amyloliquefaciens H57 probiotic and associated volatile organic compounds in high concentrate feed pellets. Animals, 11 (1) 51, 51-15. doi: 10.3390/ani11010051

Feed preference response of weaner bull calves to Bacillus amyloliquefaciens H57 probiotic and associated volatile organic compounds in high concentrate feed pellets

2020

Journal Article

Gene expression of the heat stress response in bovine peripheral white blood cells and milk somatic cells in vivo

Garner, J. B., Chamberlain, A. J., Vander Jagt, C., Nguyen, T. T.T., Mason, B. A., Marett, L. C., Leury, B. J., Wales, W. J. and Hayes, B. J. (2020). Gene expression of the heat stress response in bovine peripheral white blood cells and milk somatic cells in vivo. Scientific Reports, 10 (1) 19181, 19181. doi: 10.1038/s41598-020-75438-2

Gene expression of the heat stress response in bovine peripheral white blood cells and milk somatic cells in vivo

2020

Journal Article

The future of livestock management: a review of real-time portable sequencing applied to livestock

Lamb, Harrison J., Hayes, Ben J., Nguyen, Loan T. and Ross, Elizabeth M. (2020). The future of livestock management: a review of real-time portable sequencing applied to livestock. Genes, 11 (12) 1478, 1-27. doi: 10.3390/genes11121478

The future of livestock management: a review of real-time portable sequencing applied to livestock

2020

Conference Publication

The impact of physiological non-additivity on variance components for complex traits

Voss-Fels, Kai, Powell, Owen, Jordan, David, Hammer, Graeme, Barbier, Francois, Werner, Christian, Hayes, Ben, Beveridge, Christine and Cooper, Mark (2020). The impact of physiological non-additivity on variance components for complex traits. The 6th International Conference on Quantitative Genetics, Brisbane, QLD Australia, 3-13 November 2020.

The impact of physiological non-additivity on variance components for complex traits

2020

Journal Article

Genomic predictions for enteric methane production are improved by metabolome and microbiome data in sheep (Ovis aries)

Ross, Elizabeth M., Hayes, Ben J., Tucker, David, Bond, Jude, Denman, Stuart E. and Oddy, Victor Hutton (2020). Genomic predictions for enteric methane production are improved by metabolome and microbiome data in sheep (Ovis aries). Journal of Animal Science, 98 (10) skaa262. doi: 10.1093/jas/skaa262

Genomic predictions for enteric methane production are improved by metabolome and microbiome data in sheep (Ovis aries)

2020

Journal Article

Using prior information from humans to prioritize genes and gene-associated variants for complex traits in livestock

Raymond, Biaty, Yengo, Loic, Costilla, Roy, Schrooten, Chris, Bouwman, Aniek C., Hayes, Ben J., Veerkamp, Roel F. and Visscher, Peter M. (2020). Using prior information from humans to prioritize genes and gene-associated variants for complex traits in livestock. PLoS Genetics , 16 (9) e1008780, 1-20. doi: 10.1371/journal.pgen.1008780

Using prior information from humans to prioritize genes and gene-associated variants for complex traits in livestock

2020

Journal Article

Genetic control of temperament traits across species: association of autism spectrum disorder risk genes with cattle temperament

Costilla, Roy, Kemper, Kathryn E., Byrne, Enda M., Porto-Neto, Laercio R., Carvalheiro, Roberto, Purfield, Deirdre C., Doyle, Jennifer L., Berry, Donagh P., Moore, Stephen S., Wray, Naomi R. and Hayes, Ben J. (2020). Genetic control of temperament traits across species: association of autism spectrum disorder risk genes with cattle temperament. Genetics Selection Evolution, 52 (1) 51, 51. doi: 10.1186/s12711-020-00569-z

Genetic control of temperament traits across species: association of autism spectrum disorder risk genes with cattle temperament

2020

Journal Article

X chromosome variants are associated with male fertility traits in two bovine populations

Fortes, Marina R. S., Porto-Neto, Laercio R., Satake, Nana, Nguyen, Loan T., Freitas, Ana Claudia, Melo, Thaise P., Scalez, Daiane Cristina Becker, Hayes, Ben, Raidan, Fernanda S. S., Reverter, Antonio and Boe-Hansen, Gry B. (2020). X chromosome variants are associated with male fertility traits in two bovine populations. Genetics Selection Evolution, 52 (1) 46, 46. doi: 10.1186/s12711-020-00563-5

X chromosome variants are associated with male fertility traits in two bovine populations

2020

Journal Article

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

Warburton, Christie L., Engle, Bailey N., Ross, Elizabeth M., Costilla, Roy, Moore, Stephen S., Corbet, Nicholas J., Allen, Jack M., Laing, Alan R., Fordyce, Geoffry, Lyons, Russell E., McGowan, Michael R., Burns, Brian M. and Hayes, Ben 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) 28, 28. doi: 10.1186/s12711-020-00547-5

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

2020

Journal Article

Selection signatures in tropical cattle are enriched for promoter and coding regions and reveal missense mutations in the damage response gene HELB

Naval-Sánchez, Marina, Porto-Neto, Laercio R., Cardoso, Diercles F., Hayes, Ben J., Daetwyler, Hans D., Kijas, James and Reverter, Antonio (2020). Selection signatures in tropical cattle are enriched for promoter and coding regions and reveal missense mutations in the damage response gene HELB. Genetics Selection Evolution, 52 (1) 27, 27. doi: 10.1186/s12711-020-00546-6

Selection signatures in tropical cattle are enriched for promoter and coding regions and reveal missense mutations in the damage response gene HELB

2020

Journal Article

Characterization of the poll allele in Brahman cattle using long-read Oxford Nanopore sequencing

Lamb, Harrison J., Ross, Elizabeth M., Nguyen, Loan T., Lyons, Russell E., Moore, Stephen S. and Hayes, Ben J. (2020). Characterization of the poll allele in Brahman cattle using long-read Oxford Nanopore sequencing. Journal of Animal Science, 98 (5) skaa127, skaa127. doi: 10.1093/jas/skaa127

Characterization of the poll allele in Brahman cattle using long-read Oxford Nanopore sequencing

2020

Journal Article

Accelerating genetic gain in sugarcane breeding using genomic selection

Yadav, Seema, Jackson, Phillip, Wei, Xianming, Ross, Elizabeth M., Aitken, Karen, Deomano, Emily, Atkin, Felicity, Hayes, Ben J. and Voss-Fels, Kai P. (2020). Accelerating genetic gain in sugarcane breeding using genomic selection. Agronomy, 10 (4) 585, 1-21. doi: 10.3390/agronomy10040585

Accelerating genetic gain in sugarcane breeding using genomic selection

2020

Journal Article

Genome-wide association studies for yield component traits in a macadamia breeding population

O’Connor, Katie, Hayes, Ben, Hardner, Craig, Nock, Catherine, Baten, Abdul, Alam, Mobashwer, Henry, Robert and Topp, Bruce (2020). Genome-wide association studies for yield component traits in a macadamia breeding population. BMC Genomics, 21 (1) 199, 199. doi: 10.1186/s12864-020-6575-3

Genome-wide association studies for yield component traits in a macadamia breeding population

2020

Journal Article

Multi-environment analysis of sorghum breeding trials using additive and dominance genomic relationships

Hunt, Colleen H., Hayes, Ben J., van Eeuwijk, Fred A., Mace, Emma S. and Jordan, David R. (2020). Multi-environment analysis of sorghum breeding trials using additive and dominance genomic relationships. Theoretical and Applied Genetics, 133 (3), 1009-1018. doi: 10.1007/s00122-019-03526-7

Multi-environment analysis of sorghum breeding trials using additive and dominance genomic relationships

2019

Journal Article

Optimized genetic testing for polledness in multiple breeds of cattle

Randhawa, Imtiaz A. S., Burns, Brian M., McGowan, Michael R., Porto-Neto, Laercio R., Hayes, Ben J., Ferretti, Ryan, Schutt, Karen M. and Lyons, Russell E. (2019). Optimized genetic testing for polledness in multiple breeds of cattle. G3: Genes, Genomes, Genetics, 10 (2), g3.400866.2019-544. doi: 10.1534/g3.119.400866

Optimized genetic testing for polledness in multiple breeds of cattle

2019

Journal Article

Boosting genetic gain in allogamous crops via speed breeding and genomic selection

Jighly, Abdulqader, Lin, Zibei, Pembleton, Luke W., Cogan, Noel O. I., Spangenberg, German C., Hayes, Ben J. and Daetwyler, Hans D. (2019). Boosting genetic gain in allogamous crops via speed breeding and genomic selection. Frontiers in Plant Science, 10 1364, 1364. doi: 10.3389/fpls.2019.01364

Boosting genetic gain in allogamous crops via speed breeding and genomic selection

2019

Journal Article

The impact of genomic and traditional selection on the contribution of mutational variance to long-term selection response and genetic variance

Mulder, Herman A., Lee, Sang Hong, Clark, Sam, Hayes, Ben J. and van der Werf, Julius H. J. (2019). The impact of genomic and traditional selection on the contribution of mutational variance to long-term selection response and genetic variance. Genetics, 213 (2), 361-378. doi: 10.1534/genetics.119.302336

The impact of genomic and traditional selection on the contribution of mutational variance to long-term selection response and genetic variance

Funding

Current funding

  • 2024 - 2029
    ARC Training Centre in Predictive Breeding for Agricultural Futures
    ARC Industrial Transformation Training Centres
    Open grant
  • 2024 - 2028
    Program 2 - Resistance Sources: Using 'FastStack' to develop effective durable net blotch resistance gene stacks
    Grains Research & Development Corporation
    Open grant
  • 2024 - 2029
    Achieving improved genetic gain for yield in chickpea, faba bean and lentil using genetic diversity (GRDC grant administered by Murdoch University)
    Murdoch University
    Open grant
  • 2024 - 2028
    Fast tracking deployment of chickpea heat tolerance
    GRDC - PROC-9176886 - Fast tracking deployment of chickpea heat tolerance to develop chickpea varieties with improved high temperature tolerance
    Open grant
  • 2023 - 2027
    RustHapSelect: Fast-tracking rust resistance haplotypes into high-yielding germplasm (GRDC grant administered by CSIRO)
    CSIRO
    Open grant
  • 2022 - 2025
    Northern Genomics commercialisation scoping study
    Meat & Livestock Australia
    Open grant
  • 2022 - 2027
    Reducing methane emissions and improving profitability in Northern Australian beef
    Meat & Livestock Australia
    Open grant
  • 2022 - 2026
    Scaling Genomic Selection Across the Indian Smallholder Dairy Sector (BMGF grant administered by BAIF Development Research Foundation)
    BAIF Development Research Foundation
    Open grant
  • 2022 - 2027
    Facilitating Innovations for Resilient Livestock Farming Systems (Re-Livestock) (Horizon Europe grant administered by the Spanish National Research Council)
    Spanish National Research Council (Agencia Estatal Consejo Superior de Investigaciones Científicas)
    Open grant
  • 2022 - 2026
    Balancing polled and profit: demonstration of breeding strategies to replace dehorning in a large integrated beef and cattle operation
    A. A. COMPANY PTY. LTD.
    Open grant
  • 2022 - 2026
    On-farm genomics: genomic solutions for Northern beef cattle management and breeding
    Meat & Livestock Australia
    Open grant
  • 2022 - 2026
    Digging deeper to improve yield stability
    ARC Linkage Projects
    Open grant
  • 2022 - 2026
    LESTR Low Emission Saliva Test for Ruminants
    Meat & Livestock Australia
    Open grant
  • 2021 - 2026
    ARC Research Hub for Supercharging Tropical Aquaculture Through Genetic Solutions - externally administered by James Cook University (JCU)
    James Cook University
    Open grant
  • 2021 - 2026
    NB2: Assessing practical interventions to reduce calf wastage and herd mortality in northern systems
    Meat & Livestock Australia
    Open grant

Past funding

  • 2023 - 2024
    Genomic prediction of ratoon yield robustness
    Sugar Research Australia Limited
    Open grant
  • 2022 - 2024
    Northern Beef Information Nucleus (Spyglass) Phase 4 Extension
    Australian Brahman Breeders' Association Limited
    Open grant
  • 2022 - 2024
    Development of genomic multi-breed eating quality trait estimates using shared global data (Meat & Livestock Australia project administered by University of New England)
    University of New England
    Open grant
  • 2021 - 2022
    DNA as the ultimate identifier in blockchain traceability systems
    Innovation Connections
    Open grant
  • 2020 - 2024
    Screening of diverse barley germplasm for rapid discovery and utilisation of novel disease resistance in barley using R-HapSelect : A haplotype-based toolkit
    Grains Research & Development Corporation
    Open grant
  • 2020 - 2023
    FY20 Postgraduate Scholarships - Harrison Lamb
    Meat & Livestock Australia
    Open grant
  • 2019 - 2021
    Bull fertility update: historical data, new cohort and advanced genomics (Meat & Livestock Australia grant administered by CSIRO)
    CSIRO
    Open grant
  • 2018 - 2023
    India Dairy Genetic Gain: Array designs for Indian Cattle and Buffalo
    Bill & Melinda Gates Foundation
    Open grant
  • 2018 - 2024
    National Tree Genomics Program - Genomics Toolbox
    Horticulture Innovation Australia Limited
    Open grant
  • 2018 - 2021
    Predicting age of livestock from DNA samples
    Meat & Livestock Australia
    Open grant
  • 2018 - 2023
    National Tree Genomics Program - Phenotype Prediction
    Horticulture Innovation Australia Limited
    Open grant
  • 2018 - 2023
    FastStack - evolutionary computing to stack desirable alleles in wheat
    ARC Linkage Projects
    Open grant
  • 2018 - 2021
    Female Reproduction Phenobank and Validation Herds
    Meat & Livestock Australia
    Open grant
  • 2017 - 2020
    Novel genomic technologies to improve fertility in Northern Beef Cattle
    ARC Linkage Projects
    Open grant
  • 2017 - 2024
    Improving fertility in northern cattle through host and pathogen molecular diagnosis
    Meat & Livestock Australia
    Open grant
  • 2017 - 2023
    Implementing and validating genomic selection in SRA breeding programs to accelerate improvements in yield, commercial cane sugar, and other key traits
    Sugar Research Australia Limited
    Open grant
  • 2017 - 2019
    Genetics R&D: Characterisation of the Brahman Genome
    Meat & Livestock Australia
    Open grant
  • 2017 - 2023
    Improving bovine respiratory disease control through the characterisation of pathogen genomics and host interactions
    Meat & Livestock Australia
    Open grant
  • 2017 - 2018
    Expression of genes and proteins related to meat quality in Bos indicus cattle
    UQ-FAPESP Strategic Research Fund SPRINT
    Open grant
  • 2017 - 2022
    Accelerating genetic gain for productivity and profitability in Northern beef cattle with genomic technologies
    Meat & Livestock Australia
    Open grant
  • 2017 - 2024
    Cattle tick and Buffalo fly host genetics, susceptibility to buffalo fly lesions and biomarkers for resistance
    Meat & Livestock Australia
    Open grant

Supervision

Availability

Professor Ben Hayes is:
Available for supervision

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Supervision history

Current supervision

Completed supervision

Media

Enquiries

For media enquiries about Professor Ben Hayes's areas of expertise, story ideas and help finding experts, contact our Media team:

communications@uq.edu.au