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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

385 works between 2000 and 2024

21 - 40 of 385 works

2023

Journal Article

Advancing artificial intelligence to help feed the world

Hayes, Ben J., Chen, Chensong, Powell, Owen, Dinglasan, Eric, Villiers, Kira, Kemper, Kathryn E. and Hickey, Lee T. (2023). Advancing artificial intelligence to help feed the world. Nature Biotechnology, 41 (9), 1-2. doi: 10.1038/s41587-023-01898-2

Advancing artificial intelligence to help feed the world

2023

Journal Article

Skim-Nanopore sequencing for routine genomic evaluation and bacterial pathogen detection in cattle

Lamb, H. J., Nguyen, L. T., Briody, T. E., Ambrose, R. K., Hayes, B. J., Mahony, T. J. and Ross, E. M. (2023). Skim-Nanopore sequencing for routine genomic evaluation and bacterial pathogen detection in cattle. Animal Production Science, 63 (11), 1074-1085. doi: 10.1071/an22451

Skim-Nanopore sequencing for routine genomic evaluation and bacterial pathogen detection in cattle

2023

Journal Article

Predicting phenotypes of beef eating quality traits

Forutan, Mehrnush, Lynn, Andrew, Aliloo, Hassan, Clark, Samuel A., McGilchrist, Peter, Polkinghorne, Rod and Hayes, Ben J. (2023). Predicting phenotypes of beef eating quality traits. Frontiers in Genetics, 14 1089490, 1089490. doi: 10.3389/fgene.2023.1089490

Predicting phenotypes of beef eating quality traits

2023

Journal Article

In it for the long run: perspectives on exploiting long-read sequencing in livestock for population scale studies of structural variants

Nguyen, Tuan V., Vander Jagt, Christy J., Wang, Jianghui, Daetwyler, Hans D., Xiang, Ruidong, Goddard, Michael E., Nguyen, Loan T., Ross, Elizabeth M, Hayes, Ben J., Chamberlain, Amanda J. and MacLeod, Iona M. (2023). In it for the long run: perspectives on exploiting long-read sequencing in livestock for population scale studies of structural variants. Genetics Selection Evolution, 55 (1) 9, 1-15. doi: 10.1186/s12711-023-00783-5

In it for the long run: perspectives on exploiting long-read sequencing in livestock for population scale studies of structural variants

2023

Journal Article

Multi-breed genomic predictions and functional variants for fertility of tropical bulls

Porto-Neto, Laercio R., Alexandre, Pamela A., Hudson, Nicholas J., Bertram, John, McWilliam, Sean M., Tan, Andre W. L., Fortes, Marina R. S., McGowan, Michael R., Hayes, Ben J. and Reverter, Antonio (2023). Multi-breed genomic predictions and functional variants for fertility of tropical bulls. PLoS One, 18 (1) e0279398, 1-19. doi: 10.1371/journal.pone.0279398

Multi-breed genomic predictions and functional variants for fertility of tropical bulls

2023

Book Chapter

Role of the genomics-phenomics-agronomy paradigm in plant breeding

Chen, Chunpeng James, Rutkoski, Jessica, Schnable, James C., Murray, Seth C., Wang, Lizhi, Jin, Xiuliang, Stich, Benjamin, Crossa, Jose, Hayes, Ben J. and Zhang, Zhiwu (2023). Role of the genomics-phenomics-agronomy paradigm in plant breeding. Plant breeding reviews. (pp. 627-673) edited by Irwin Goldman. Hoboken, NJ United States: John Wiley and Sons. doi: 10.1002/9781119874157.ch10

Role of the genomics-phenomics-agronomy paradigm in plant breeding

2022

Conference Publication

Bos indicus genome percentage effects gene expression profile and differentially expressed genes in Brahman cattle whole blood

Ross, E.M., Nguyen, L.T., Engle, B.N., Chamberlain, A.J., Kho, E. and Hayes, B.J. (2022). Bos indicus genome percentage effects gene expression profile and differentially expressed genes in Brahman cattle whole blood. 12th World Congress on Genetics Applied to Livestock Production (WCGALP), Rotterdam, The Netherlands, 3-8 July 2022. Wageningen, The Netherlands: Wageningen Academic Publishers. doi: 10.3920/978-90-8686-940-4_628

Bos indicus genome percentage effects gene expression profile and differentially expressed genes in Brahman cattle whole blood

2022

Conference Publication

Understanding the genetics of fertility and temperament in Northern beef cattle using genomic technologies

Copley, J.P., Corbet, N.J., Allen, J.M., Laing, A.R., Fordyce, G., McGowan, M.R., Burns, B.M., Lyons, R.E. and Hayes, B.J. (2022). Understanding the genetics of fertility and temperament in Northern beef cattle using genomic technologies. 12th World Congress on Genetics Applied to Livestock Production (WCGALP), Rotterdam, The Netherlands, 3-8 July 2022. Wageningen, The Netherlands: Wageningen Academic Publishers. doi: 10.3920/978-90-8686-940-4_650

Understanding the genetics of fertility and temperament in Northern beef cattle using genomic technologies

2022

Conference Publication

Predicted isoforms of a Brahman cow revealed by full-length transcript sequencing

Nguyen, L.T., Cheng, Y., Kuo, R., Hayes, B.J. and Ross, E.M. (2022). Predicted isoforms of a Brahman cow revealed by full-length transcript sequencing. 12th World Congress on Genetics Applied to Livestock Production (WCGALP), Rotterdam, Netherlands, 3 - 8 July 2022. Wageningen, Netherlands: Wageningen Academic Publishers. doi: 10.3920/978-90-8686-940-4_513

Predicted isoforms of a Brahman cow revealed by full-length transcript sequencing

2022

Conference Publication

Simultaneous mapping of quantitative trait loci in multiple subspecies using hybrid populations

Warburton, C.L., Costilla, R.C., Engle, B.N. and Hayes, B.J. (2022). Simultaneous mapping of quantitative trait loci in multiple subspecies using hybrid populations. 12th World Congress on Genetics Applied to Livestock Production (WCGALP), Rotterdam, The Netherlands, 3-8 July 2022. Wageningen, The Netherlands: Wageningen Academic Publishers. doi: 10.3920/978-90-8686-940-4_179

Simultaneous mapping of quantitative trait loci in multiple subspecies using hybrid populations

2022

Conference Publication

The long and short of Nanopore genomic prediction: the effect of read length on prediction accuracy

Lamb, H.J., Nguyen, L.T., Randhawa, I.A.S., Hayes, B.J. and Ross, E.M. (2022). The long and short of Nanopore genomic prediction: the effect of read length on prediction accuracy. 12th World Congress on Genetics Applied to Livestock Production (WCGALP), Rotterdam, Netherlands, 3-8 July 2022. Wageningen, Netherlands: Wageningen Academic Publishers. doi: 10.3920/978-90-8686-940-4_279

The long and short of Nanopore genomic prediction: the effect of read length on prediction accuracy

2022

Conference Publication

Identification of differentially expressed transcription factors in Brangus skin infested with Rhipicephalus australis

Mantilla Valdivieso, E. , Nguyen, L., Ross, E., Raza, A., James, P., Hayes, B., Jonsson, N. and Tabor, A. (2022). Identification of differentially expressed transcription factors in Brangus skin infested with Rhipicephalus australis. 12th World Congress on Genetics Applied to Livestock Production (WCGALP), Rotterdam, Netherlands, 3-8 July 2022. Wageningen, Netherlands: Wageningen Academic Publishers. doi: 10.3920/978-90-8686-940-4_557

Identification of differentially expressed transcription factors in Brangus skin infested with Rhipicephalus australis

2022

Conference Publication

Multi-breed genomic predictions from commercial crossbred data

Hayes, B.J., Copley, J., Dodd, E., Ross, E.M. and Fordyce, G. (2022). Multi-breed genomic predictions from commercial crossbred data. 12th World Congress on Genetics Applied to Livestock Production (WCGALP), Rotterdam, Netherlands, 3-8 July 2022. Wageningen, Netherlands: Wageningen Academic Publishers. doi: 10.3920/978-90-8686-940-4_178

Multi-breed genomic predictions from commercial crossbred data

2022

Journal Article

Genomic mate-allocation strategies exploiting additive and non-additive genetic effects to maximise total clonal performance in sugarcane

Yadav, Seema, Ross, Elizabeth, Wei, Xianming, Powell, Owen, Hivert, Valentin, Hickey, Lee T., Atkin, Felicity, Deomano, Emily, Aitken, Karen S., Voss-Fels, Kai P. and Hayes, Ben J. (2022). Genomic mate-allocation strategies exploiting additive and non-additive genetic effects to maximise total clonal performance in sugarcane.

Genomic mate-allocation strategies exploiting additive and non-additive genetic effects to maximise total clonal performance in sugarcane

2022

Journal Article

Identification of genomic variants causing variation in quantitative traits: a review

Meuwissen, Theo, Hayes, Ben, MacLeod, Iona and Goddard, Michael (2022). Identification of genomic variants causing variation in quantitative traits: a review. Agriculture, 12 (10) 1713, 1-11. doi: 10.3390/agriculture12101713

Identification of genomic variants causing variation in quantitative traits: a review

2022

Conference Publication

A conditional multi‑trait sequence GWAS of heifer fertility in tropically adapted beef cattle

Forutan, M., Engle, B., Goddard, M. E. and Hayes, B. J. (2022). A conditional multi‑trait sequence GWAS of heifer fertility in tropically adapted beef cattle. World Congress on Genetics Applied to Livestock Production, Rotterdam, The Netherlands, 3 July-8 July 2022.

A conditional multi‑trait sequence GWAS of heifer fertility in tropically adapted beef cattle

2022

Journal Article

Correlation scan: identifying genomic regions that affect genetic correlations applied to fertility traits

Olasege, Babatunde S., Porto-Neto, Laercio R., Tahir, Muhammad S., Gouveia, Gabriela C., Cánovas, Angela, Hayes, Ben J. and Fortes, Marina R. S. (2022). Correlation scan: identifying genomic regions that affect genetic correlations applied to fertility traits. BMC Genomics, 23 (1) 684, 1-20. doi: 10.1186/s12864-022-08898-7

Correlation scan: identifying genomic regions that affect genetic correlations applied to fertility traits

2022

Journal Article

Multivariate analysis identifying the main factors associated with cow productivity and welfare in tropical smallholder dairy farms in Vietnam

Bang, Nguyen N., Chanh, Nguyen V., Trach, Nguyen X., Khang, Duong N., Hayes, Ben J., Gaughan, John B., Lyons, Russell E. and McNeill, David M. (2022). Multivariate analysis identifying the main factors associated with cow productivity and welfare in tropical smallholder dairy farms in Vietnam. Tropical Animal Health and Production, 54 (5) 313, 313. doi: 10.1007/s11250-022-03303-7

Multivariate analysis identifying the main factors associated with cow productivity and welfare in tropical smallholder dairy farms in Vietnam

2022

Journal Article

Promoting sustainable utilization and genetic improvement of Indonesian local beef cattle breeds: a review

Widyas, Nuzul, Widi, Tri Satya Mastuti, Prastowo, Sigit, Sumantri, Ika, Hayes, Ben J. and Burrow, Heather M. (2022). Promoting sustainable utilization and genetic improvement of Indonesian local beef cattle breeds: a review. Agriculture, 12 (10) 1566, 1566. doi: 10.3390/agriculture12101566

Promoting sustainable utilization and genetic improvement of Indonesian local beef cattle breeds: a review

2022

Journal Article

genomicSimulation: fast R functions for stochastic simulation of breeding programs

Villiers, Kira, Dinglasan, Eric, Hayes, Ben J and Voss-Fels, Kai P (2022). genomicSimulation: fast R functions for stochastic simulation of breeding programs. G3 Genes|Genomes|Genetics, 12 (10) jkac216, 1-6. doi: 10.1093/g3journal/jkac216

genomicSimulation: fast R functions for stochastic simulation of breeding programs

Funding

Current funding

  • 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

    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

    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

  • 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

    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