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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

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

386 works between 2000 and 2024

281 - 300 of 386 works

2012

Journal Article

A single nucleotide polymorphism on chromosome 10 is highly predictive for the polled phenotype in Australian Merino sheep

Dominik, S., Henshall, J. M. and Hayes, B. J. (2012). A single nucleotide polymorphism on chromosome 10 is highly predictive for the polled phenotype in Australian Merino sheep. Animal Genetics, 43 (4), 468-470. doi: 10.1111/j.1365-2052.2011.02271.x

A single nucleotide polymorphism on chromosome 10 is highly predictive for the polled phenotype in Australian Merino sheep

2012

Journal Article

High throughput whole rumen metagenome profiling using untargeted massively parallel sequencing

Ross, Elizabeth M., Moate, Peter J., Bath, Carolyn R., Davidson, Sophie E., Sawbridge, Tim I., Guthridge, Kathryn M., Cocks, Ben G. and Hayes, Ben J. (2012). High throughput whole rumen metagenome profiling using untargeted massively parallel sequencing. BMC Genetics, 13 53. doi: 10.1186/1471-2156-13-53

High throughput whole rumen metagenome profiling using untargeted massively parallel sequencing

2012

Journal Article

Improving accuracy of genomic predictions within and between dairy cattle breeds with imputed high-density single nucleotide polymorphism panels

Erbe, M., Hayes, B. J., Matukumalli, L. K., Goswami, S., Bowman, P. J., Reich, C. M., Mason, B. A. and Goddard, M. E. (2012). Improving accuracy of genomic predictions within and between dairy cattle breeds with imputed high-density single nucleotide polymorphism panels. Journal of Dairy Science, 95 (7), 4114-4129. doi: 10.3168/jds.2011-5019

Improving accuracy of genomic predictions within and between dairy cattle breeds with imputed high-density single nucleotide polymorphism panels

2012

Journal Article

Whole-genome resequencing of two elite sires for the detection of haplotypes under selection in dairy cattle

Larkin, Denis M., Daetwyler, Hans D., Hernandez, Alvaro G., Wright, Chris L., Hetrick, Lorie A., Boucek, Lisa, Bachman, Sharon L., Band, Mark R., Akraiko, Tatsiana V., Cohen-Zinder, Miri, Thimmapuram, Jyothi, Macleod, Iona M., Harkins, Timothy T., McCague, Jennifer E., Goddard, Michael E., Hayes, Ben J. and Lewin, Harris A. (2012). Whole-genome resequencing of two elite sires for the detection of haplotypes under selection in dairy cattle. Proceedings of the National Academy of Sciences of the United States of America, 109 (20), 7693-7698. doi: 10.1073/pnas.1114546109

Whole-genome resequencing of two elite sires for the detection of haplotypes under selection in dairy cattle

2012

Journal Article

Discovery and trait association of single nucleotide polymorphisms from gene regions of influence on meat tenderness and long-chain omega-3 fatty acid content in Australian lamb

Knight, M. I., Daetwyler, H. D., Hayes, B. J., Hayden, M. J., Ball, A. J., Pethick, D. W. and McDonagh, M. B. (2012). Discovery and trait association of single nucleotide polymorphisms from gene regions of influence on meat tenderness and long-chain omega-3 fatty acid content in Australian lamb. Animal Production Science, 52 (7), 591-600. doi: 10.1071/AN11229

Discovery and trait association of single nucleotide polymorphisms from gene regions of influence on meat tenderness and long-chain omega-3 fatty acid content in Australian lamb

2012

Journal Article

Accuracy of genomic predictions of residual feed intake and 250-day body weight in growing heifers using 625,000 single nucleotide polymorphism markers

Pryce, J. E., Arias, J., Bowman, P. J., Davis, S. R., Macdonald, K. A., Waghorn, G. C., Wales, W. J., Williams, Y. J., Spelman, R. J. and Hayes, B. J. (2012). Accuracy of genomic predictions of residual feed intake and 250-day body weight in growing heifers using 625,000 single nucleotide polymorphism markers. Journal of Dairy Science, 95 (4), 2108-2119. doi: 10.3168/jds.2011-4628

Accuracy of genomic predictions of residual feed intake and 250-day body weight in growing heifers using 625,000 single nucleotide polymorphism markers

2012

Journal Article

Design of a bovine low-density snp array optimized for imputation

Boichard, Didier, Chung, Hoyoung, Dassonneville, Romain, David, Xavier, Eggen, Andre, Fritz, Sebastien, Gietzen, Kimberly J., Hayes, Ben J., Lawley, Cynthia T., Sonstegard, Tad S., Van Tassell, Curtis P., VanRaden, Paul M., Viaud-Martinez, Karine A. and Wiggans, George R. (2012). Design of a bovine low-density snp array optimized for imputation. PLoS One, 7 (3) e34130, e34130. doi: 10.1371/journal.pone.0034130

Design of a bovine low-density snp array optimized for imputation

2012

Journal Article

A review of how dairy farmers can use and profit from genomic technologies

Pryce, Jennie and Hayes, Ben (2012). A review of how dairy farmers can use and profit from genomic technologies. Animal Production Science, 52 (3), 180-184. doi: 10.1071/AN11172

A review of how dairy farmers can use and profit from genomic technologies

2012

Journal Article

Design and phenotyping procedures for recording wool, skin, parasite resistance, growth, carcass yield and quality traits of the SheepGENOMICS mapping flock

White, Jason D., Allingham, Peter G., Gorman, Chris M., Emery, David L., Hynd, Philip, Owens, John, Bell, Amy, Siddell, Jason, Harper, Greg, Hayes, Ben J., Daetwyler, Hans D., Usmar, Jonathan, Goddard, Mike E., Henshall, John M., Dominik, Sonja, Brewer, Heather, van der Werf, Julius H. J., Nicholas, Frank W., Warner, Robyn, Hofmyer, Chris, Longhurst, Terry, Fisher, Troy, Swan, Paul, Forage, Rob and Oddy, V. Hutton (2012). Design and phenotyping procedures for recording wool, skin, parasite resistance, growth, carcass yield and quality traits of the SheepGENOMICS mapping flock. Animal Production Science, 52 (2-3), 157-171. doi: 10.1071/AN11085

Design and phenotyping procedures for recording wool, skin, parasite resistance, growth, carcass yield and quality traits of the SheepGENOMICS mapping flock

2012

Journal Article

Components of the accuracy of genomic prediction in a multi-breed sheep population

Daetwyler, H. D., Kemper, K. E., van der Werf, J. H. J. and Hayes, B. J. (2012). Components of the accuracy of genomic prediction in a multi-breed sheep population. Journal of Animal Science, 90 (10), 3375-3384. doi: 10.2527/jas.2011-4557

Components of the accuracy of genomic prediction in a multi-breed sheep population

2012

Journal Article

Genome-Wide Analysis of the World's Sheep Breeds Reveals High Levels of Historic Mixture and Strong Recent Selection

Kijas, James W., Lenstra, Johannes A., Hayes, Ben, Boitard, Simon, Neto, Laercio R. Porto, San Cristobal, Magali, Servin, Bertrand, McCulloch, Russell, Whan, Vicki, Gietzen, Kimberly, Paiva, Samuel, Barendse, William, Ciani, Elena, Raadsma, Herman, McEwan, John, Dalrymple, Brian and Int Sheep Genomics Consortium (2012). Genome-Wide Analysis of the World's Sheep Breeds Reveals High Levels of Historic Mixture and Strong Recent Selection. PLoS Biology, 10 (2) e1001258, e1001258. doi: 10.1371/journal.pbio.1001258

Genome-Wide Analysis of the World's Sheep Breeds Reveals High Levels of Historic Mixture and Strong Recent Selection

2012

Journal Article

Validation of single nucleotide polymorphisms associated with milk production traits in dairy cattle

Chamberlain, A. J., Hayes, B. J., Savin, K., Bolormaa, S., McPartlan, H. C., Bowman, P. J., Van der Jagt, C., MacEachern, S. and Goddard, M. E. (2012). Validation of single nucleotide polymorphisms associated with milk production traits in dairy cattle. Journal of Dairy Science, 95 (2), 864-875. doi: 10.3168/jds.2010-3786

Validation of single nucleotide polymorphisms associated with milk production traits in dairy cattle

2012

Journal Article

Accuracy of genotype imputation in sheep breeds

Hayes, B. J., Bowman, P. J., Daetwyler, H. D., Kijas, J. W. and van der Werf, J. H. J. (2012). Accuracy of genotype imputation in sheep breeds. Animal Genetics, 43 (1), 72-80. doi: 10.1111/j.1365-2052.2011.02208.x

Accuracy of genotype imputation in sheep breeds

2012

Book Chapter

Genome-wide association studies and linkage disequilibrium in cattle

Goddard, M. E. and Hayes, B. J. (2012). Genome-wide association studies and linkage disequilibrium in cattle. Bovine genomics. (pp. 192-210) edited by James E. Womack. Oxford, United Kingdom: John Wiley & Sons. doi: 10.1002/9781118301739.ch13

Genome-wide association studies and linkage disequilibrium in cattle

2012

Journal Article

Novel strategies to minimize progeny inbreeding while maximizing genetic gain using genomic information

Pryce, J. E., Hayes, B. J. and Goddard, M. E. (2012). Novel strategies to minimize progeny inbreeding while maximizing genetic gain using genomic information. Journal of Dairy Science, 95 (1), 377-388. doi: 10.3168/jds.2011-4254

Novel strategies to minimize progeny inbreeding while maximizing genetic gain using genomic information

2011

Journal Article

A dense SNP-based linkage map for Atlantic salmon (Salmo salar) reveals extended chromosome homeologies and striking differences in sex-specific recombination patterns

Lien, Sigbjorn, Gidskehaug, Lars, Moen, Thomas, Hayes, Ben J., Berg, Paul R., Davidson, William S., Omholt, Stig W. and Kent, Matthew P. (2011). A dense SNP-based linkage map for Atlantic salmon (Salmo salar) reveals extended chromosome homeologies and striking differences in sex-specific recombination patterns. BMC Genomics, 12 (1) 615. doi: 10.1186/1471-2164-12-615

A dense SNP-based linkage map for Atlantic salmon (Salmo salar) reveals extended chromosome homeologies and striking differences in sex-specific recombination patterns

2011

Journal Article

Impacts of stock enhancement strategies on the effective population size of Murray cod, Maccullochella peelii, a threatened Australian fish

Ingram, B. A., Hayes, B. and Rourke, M. L. (2011). Impacts of stock enhancement strategies on the effective population size of Murray cod, Maccullochella peelii, a threatened Australian fish. Fisheries Management and Ecology, 18 (6), 467-481. doi: 10.1111/j.1365-2400.2011.00798.x

Impacts of stock enhancement strategies on the effective population size of Murray cod, Maccullochella peelii, a threatened Australian fish

2011

Journal Article

Using the genomic relationship matrix to predict the accuracy of genomic selection

Goddard, M. E., Hayes, B. J. and Meuwissen, T. H. E. (2011). Using the genomic relationship matrix to predict the accuracy of genomic selection. Journal of Animal Breeding and Genetics, 128 (6), 409-421. doi: 10.1111/j.1439-0388.2011.00964.x

Using the genomic relationship matrix to predict the accuracy of genomic selection

2011

Journal Article

Use of a microsatellite-based pedigree in estimation of heritabilities for economic traits in Australian blue mussel, Mytilus galloprovincialis

Nguyen, T. T. T., Hayes, B. J., Guthridge, K., Ab Rahim, E. S. and Ingram, B. A. (2011). Use of a microsatellite-based pedigree in estimation of heritabilities for economic traits in Australian blue mussel, Mytilus galloprovincialis. Journal of Animal Breeding and Genetics, 128 (6), 482-490. doi: 10.1111/j.1439-0388.2011.00948.x

Use of a microsatellite-based pedigree in estimation of heritabilities for economic traits in Australian blue mussel, Mytilus galloprovincialis

2011

Journal Article

Quantitative trait loci for clinical mastitis on chromosomes 2, 6, 14 and 20 in Norwegian Red cattle

Sodeland, M., Kent, M. P., Olsen, H. G., Opsal, M. A., Svendsen, M., Sehested, E., Hayes, B. J. and Lien, S. (2011). Quantitative trait loci for clinical mastitis on chromosomes 2, 6, 14 and 20 in Norwegian Red cattle. Animal Genetics, 42 (5), 457-465. doi: 10.1111/j.1365-2052.2010.02165.x

Quantitative trait loci for clinical mastitis on chromosomes 2, 6, 14 and 20 in Norwegian Red cattle

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 - 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
  • 2023 - 2027
    Analytics for the Australian Grains Industry (AAGI)
    Grains Research & Development Corporation
    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
    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

Before you email them, read our advice on how to contact a supervisor.

Supervision history

Current supervision

  • Doctor Philosophy

    Genomic selection for finfish Breeding Programs

    Principal Advisor

    Other advisors: Dr Owen Powell

  • Doctor Philosophy

    AI-accelerated breeding of high-protein mungbean

    Principal Advisor

    Other advisors: Professor Lee Hickey, Dr Eric Dinglasan, Dr Millicent Smith

  • Doctor Philosophy

    New mate allocation strategies to accelerate genetic gain in agricultural species.

    Principal Advisor

    Other advisors: Dr Eric Dinglasan, Dr Elizabeth Ross, Dr Owen Powell

  • Doctor Philosophy

    On farm genomics for selection and management in aquaculture: tank-side genotyping

    Principal Advisor

    Other advisors: Dr Hannah Siddle

  • Doctor Philosophy

    Molecular genetic analysis of rust disease resistance in wheat using cutting-edge technologies

    Principal Advisor

    Other advisors: Professor Lee Hickey, Dr Eric Dinglasan

  • Doctor Philosophy

    Reducing methane emissions and improving profitability in Northern Australian beef

    Principal Advisor

    Other advisors: Dr Kieren McCosker

  • Doctor Philosophy

    Molecular genetic analysis of multi-disease resistance in barley using cutting-edge technologies

    Associate Advisor

    Other advisors: Professor Lee Hickey, Dr Eric Dinglasan

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