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Professor Mark Cooper
Professor

Mark Cooper

Email: 
Phone: 
+61 7 334 62778

Overview

Background

Professor Mark Cooper is Chair of Prediction Based Crop Improvement at The University of Queensland, and a global leader in quantitative genetics and plant breeding. His work involves integrating genomic prediction and crop growth models into an ‘end to end’ framework for crop improvement.

Professor Cooper has pioneered the development of novel genetic modelling methodologies, based on gene networks, to study important properties of quantitative traits in biology, and demonstrated how this new genetic modelling framework can be successfully used in plant breeding to improve prediction of important traits under the influences of selection. Professor Cooper’s work at DuPont Pioneer on drought adaptation in one of the largest maize breeding programs in the world led to the AQUAmax hybrids that presently cover millions of hectares worldwide.

A quantitative geneticist by training, Professor Cooper spent 20 years working with industry in the United States and as CEO of his own consultancy firm Zenrun42, before returning to UQ to build upon the critical mass of predictive agricultural expertise in QAAFI and the wider university.

Availability

Professor Mark Cooper is:
Available for supervision

Qualifications

  • Bachelor of Agricultural Science, The University of Queensland
  • Doctor of Philosophy of Agriculture, The University of Queensland
  • Graduate Certificate in Education, The University of Queensland

Works

Search Professor Mark Cooper’s works on UQ eSpace

303 works between 1992 and 2024

21 - 40 of 303 works

2023

Book Chapter

Predicting Genotype × Environment × Management (G × E × M) interactions for the design of crop improvement strategies: Integrating breeder, agronomist, and farmer perspectives

Cooper, Mark, Messina, Carlos D., Tang, Tom, Gho, Carla, Powell, Owen M., Podlich, Dean W., Technow, Frank and Hammer, Graeme L. (2023). Predicting Genotype × Environment × Management (G × E × M) interactions for the design of crop improvement strategies: Integrating breeder, agronomist, and farmer perspectives. Plant breeding reviews. (pp. 467-585) edited by Irwin Goldman. Hoboken, NJ, United States: Wiley Blackwell. doi: 10.1002/9781119874157.ch8

Predicting Genotype × Environment × Management (G × E × M) interactions for the design of crop improvement strategies: Integrating breeder, agronomist, and farmer perspectives

2023

Journal Article

Breeding crops for drought-affected environments and improved climate resilience

Cooper, Mark and Messina, Carlos D. (2023). Breeding crops for drought-affected environments and improved climate resilience. The Plant Cell, 35 (1), 162-186. doi: 10.1093/plcell/koac321

Breeding crops for drought-affected environments and improved climate resilience

2022

Other Outputs

Extending the breeder’s equation to take aim at the Target Population of Environments

Cooper, Mark, Owen Powell, Gho, Carla, Tang, Tom and Messina, Carlos (2022). Extending the breeder’s equation to take aim at the Target Population of Environments.

Extending the breeder’s equation to take aim at the Target Population of Environments

2022

Conference Publication

Integrating Hierarchical G2P Maps with Genomic Prediction

Powell, Owen, McLean, Greg, Brider, Jason, Technow, Frank, Tang, Tom, Messina, Carlos D., Hammer, Graeme and Cooper, Mark (2022). Integrating Hierarchical G2P Maps with Genomic Prediction. Interdrought VII - The 7th Congress on plant production in water-limited environments, Dakar, Senegal, 1 December 2022.

Integrating Hierarchical G2P Maps with Genomic Prediction

2022

Conference Publication

Utilising prior knowledge to improve breeding

Powell, Owen, Barbier, Francois, Voss-Fels, Kai, Beveridge, Christine and Cooper, Mark (2022). Utilising prior knowledge to improve breeding. GxExM Symposium, Brisbane, QLD Australia, 3-4 November 2022.

Utilising prior knowledge to improve breeding

2022

Conference Publication

Transferring prediction models: from model organisms to crops

Powell, Owen, Barbier, Francois, Fichtner, Franziska, Sukumaran, Sivakumar, McLean, Greg, Brider, Jason, Technow, Frank, Tang, Tom, Messina, Carlos D., Jordan, David, Hammer, Graeme, Beveridge, Christine and Cooper, Mark (2022). Transferring prediction models: from model organisms to crops. TropAg International Agriculture Conference, Brisbane, QLD, Australia, 31 October - 2 November 2022.

Transferring prediction models: from model organisms to crops

2022

Other Outputs

Transgene by Germplasm Interactions Can Impact Transgene Evaluation

Linares, Julien F., Coles, Nathan D., Mo, Hua, Habben, Jeff E., Humbert, Sabrina, Messina, Carlos, Tang, Tom, Cooper, Mark, Gho, Carla, Carrasco, Ricardo, Carter, Javier, Wicher Flounders, Jillian and Brummer, E. Charles (2022). Transgene by Germplasm Interactions Can Impact Transgene Evaluation.

Transgene by Germplasm Interactions Can Impact Transgene Evaluation

2022

Other Outputs

Methods for evaluating effects of transgenes for quantitative traits

Linares, Julien F., Coles, Nathan D., Mo, Hua, Habben, Jeffrey E., Humbert, Sabrina, Messina, Carlos, Tang, Tom, Cooper, Mark, Gho, Carla, Carrasco, Ricardo, Carter, Javier, Wicher Flounders, Jillian and Brummer, E. Charles (2022). Methods for evaluating effects of transgenes for quantitative traits.

Methods for evaluating effects of transgenes for quantitative traits

2022

Other Outputs

Plant Breeding in the face of climate change

Messina, Carlos D. and Cooper, Mark (2022). Plant Breeding in the face of climate change.

Plant Breeding in the face of climate change

2022

Conference Publication

Prior knowledge-driven branching phenotype prediction for shoot architecture improvement

Wijerathna-Yapa, A., Fortuna, N., Cooper, M. and Beveridge, C. A. (2022). Prior knowledge-driven branching phenotype prediction for shoot architecture improvement. ComBio 2022, Melbourne Convention and Exhibition Centre (MCE), 27-30 September 2022.

Prior knowledge-driven branching phenotype prediction for shoot architecture improvement

2022

Conference Publication

Increasing Predictive Ability for Crop Improvement: Linking Crop Growth Models with Whole Genome Prediction

Powell, Owen, McLean, Greg, Brider, Jason, Technow, Frank, Sukumaran, Sivakumar, Jordan, David, Hammer, Graeme and Cooper, Mark (2022). Increasing Predictive Ability for Crop Improvement: Linking Crop Growth Models with Whole Genome Prediction. AuSoRGM, Toowoomba, QLD Australia, 18-19 August 2022.

Increasing Predictive Ability for Crop Improvement: Linking Crop Growth Models with Whole Genome Prediction

2022

Journal Article

Global wheat production could benefit from closing the genetic yield gap

Senapati, Nimai, Semenov, Mikhail A., Halford, Nigel G., Hawkesford, Malcolm J., Asseng, Senthold, Cooper, Mark, Ewert, Frank, van Ittersum, Martin K., Martre, Pierre, Olesen, Jørgen E., Reynolds, Matthew, Rötter, Reimund P. and Webber, Heidi (2022). Global wheat production could benefit from closing the genetic yield gap. Nature Food, 3 (7), 532-541. doi: 10.1038/s43016-022-00540-9

Global wheat production could benefit from closing the genetic yield gap

2022

Journal Article

Radiation use efficiency increased over a century of maize (Zea mays L.) breeding in the US corn belt

Messina, Carlos D., Rotundo, Jose, Hammer, Graeme L., Gho, Carla, Reyes, Andres, Fang, Yinan, van Oosterom, Erik, Borras, Lucas and Cooper, Mark (2022). Radiation use efficiency increased over a century of maize (Zea mays L.) breeding in the US corn belt. Journal of Experimental Botany, 73 (16), 5503-5513. doi: 10.1093/jxb/erac212

Radiation use efficiency increased over a century of maize (Zea mays L.) breeding in the US corn belt

2022

Conference Publication

Prior Knowledge-driven Branching Phenotype Prediction for Shoot Architecture Improvement

Wijerathna-Yapa, Akila, Fortuna, Nicole, Dun, Elizabeth, Lawson, Brodie, Cooper, Mark and Beveridge, Christine A. (2022). Prior Knowledge-driven Branching Phenotype Prediction for Shoot Architecture Improvement. ARC Centre of Excellence for Plant Success in Nature and Agriculture Research Retreat, Hobart, TAS Australia, 30 May - 1 June 2022.

Prior Knowledge-driven Branching Phenotype Prediction for Shoot Architecture Improvement

2022

Journal Article

Sustained improvement in tolerance to water deficit accompanies maize yield increase in temperate environments

Messina, Carlos, Ciampitti, Ignacio Antonio, Berning, Dan, Bubeck, Dave, Hammer, Graeme and Cooper, Mark (2022). Sustained improvement in tolerance to water deficit accompanies maize yield increase in temperate environments. Crop Science, 62 (6), 1-13. doi: 10.1002/csc2.20781

Sustained improvement in tolerance to water deficit accompanies maize yield increase in temperate environments

2022

Conference Publication

An Ecophysiology-Inspired Gene-Phenotype Map for Breeding

Powell, Owen, Technow, Frank, Messina, Carlos D., McLean, Greg, Brider, Jason, Van Oosterom, Erik, Wu, Alex, Jordan, David, Hammer, Graeme and Cooper, Mark (2022). An Ecophysiology-Inspired Gene-Phenotype Map for Breeding. Australasian Plant Breeding Conference, Gold Coast, QLD, Australia, 9-11 May 2022.

An Ecophysiology-Inspired Gene-Phenotype Map for Breeding

2022

Journal Article

Investigations into the emergent properties of gene-to-phenotype networks across cycles of selection: a case study of shoot branching in plants

Powell, Owen M., Barbier, Francois, Voss-Fels, Kai P., Beveridge, Christine and Cooper, Mark (2022). Investigations into the emergent properties of gene-to-phenotype networks across cycles of selection: a case study of shoot branching in plants. in silico Plants, 4 (1) diac006, 1-9. doi: 10.1093/insilicoplants/diac006

Investigations into the emergent properties of gene-to-phenotype networks across cycles of selection: a case study of shoot branching in plants

2022

Journal Article

Physiological trait networks enhance understanding of crop growth and water use in contrasting environments

Gleason, Sean M., Barnard, Dave M., Green, Timothy R., Mackay, D. Scott, Wang, Diane R., Ainsworth, Elizabeth A., Altenhofen, Jon, Brodribb, Timothy J., Cochard, Hervé, Comas, Louise H., Cooper, Mark, Creek, Danielle, DeJonge, Kendall C., Delzon, Sylvain, Fritschi, Felix B., Hammer, Graeme, Hunter, Cameron, Lombardozzi, Danica, Messina, Carlos D., Ocheltree, Troy, Maxwell Stevens, Bo, Stewart, Jared J., Vadez, Vincent, Wenz, Joshua, Wright, Ian J., Yemoto, Kevin and Zhang, Huihui (2022). Physiological trait networks enhance understanding of crop growth and water use in contrasting environments. Plant, Cell & Environment, 45 (9), 2554-2572. doi: 10.1111/pce.14382

Physiological trait networks enhance understanding of crop growth and water use in contrasting environments

2022

Other Outputs

Investigations into the emergent properties of gene-to-phenotype networks across cycles of selection: a case study of shoot branching in plants

Powell, Owen M., Barbier, Francois, Voss-Fels, Kai P., Beveridge, Christine A. and Cooper, Mark (2022). Investigations into the emergent properties of gene-to-phenotype networks across cycles of selection: a case study of shoot branching in plants.

Investigations into the emergent properties of gene-to-phenotype networks across cycles of selection: a case study of shoot branching in plants

2022

Journal Article

Can we harness digital technologies and physiology to hasten genetic gain in United States maize breeding?

Diepenbrock, Christine, Tang, Tom, Jines, Michael, Technow, Frank, Lira, Sara, Podlich, Dean, Cooper, Mark and Messina, Carlos (2022). Can we harness digital technologies and physiology to hasten genetic gain in United States maize breeding?. Plant Physiology, 188 (2), 1141-1157. doi: 10.1093/plphys/kiab527

Can we harness digital technologies and physiology to hasten genetic gain in United States maize breeding?

Funding

Current funding

  • 2023 - 2026
    Enhancing Genomic Prediction for Changing Environments in Wheat
    ARC Linkage Projects
    Open grant
  • 2021 - 2027
    Reducing lodging risk in sorghum to increase grower confidence and profitability
    Grains Research & Development Corporation
    Open grant
  • 2020 - 2027
    ARC Centre of Excellence for Plant Success in Nature and Agriculture
    ARC Centres of Excellence
    Open grant

Past funding

  • 2021 - 2022
    Crop Growth Modeling
    BASF Corporation
    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
  • 2019 - 2024
    Post-doctoral Fellowship: Enhancing Genomic prediction for Sorghum to deal with genotype-by-environment interactions for yield
    Grains Research & Development Corporation
    Open grant
  • 2000 - 2003
    Wheat Improvement in Sichuan Province; Application of Modern Breeding Technologies
    University of Southern Queensland
    Open grant
  • 1999
    Travel Grant 10 staff to attend the 9th Australian Breeders Assembly Toowoomba September 1999
    Grains Research & Development Corporation
    Open grant
  • 1999 - 2005
    A Strategic framework to model CIMMYT wheat breeding programs with application to Australia
    Grains Research & Development Corporation
    Open grant
  • 1999 - 2002
    Utilization of QU-GENE software to investigate the integration of marker-assisted selection strategies into plant breeding programs
    Pioneer Hi-Bred International Inc.
    Open grant
  • 1999
    Travel Grant- 7 researchers to attend the 11th Australian Plant Breeding Conference, Adelaide April 1999
    Grains Research & Development Corporation
    Open grant
  • 1999 - 2001
    Analysis of sugarcane productivity trends in the wet tropics at a district level
    Sugar Research & Development Corporation
    Open grant
  • 1998 - 2002
    Selection to accomodate genotype-by-environment interactions in the Northern Wheat Improvement Program.
    Grains Research & Development Corporation
    Open grant
  • 1998
    Travel grant for Dr M Cooper to attend the 9th International Wheat Genetics Symposium, Saskatoon, Canada
    Grains Research & Development Corporation
    Open grant
  • 1998
    Travel grant for Ms N Jensen to attend the 9th International Wheat Genetics Symposium, Saskatoon, Canada
    Grains Research & Development Corporation
    Open grant
  • 1997 - 2000
    The crop improvement of grain sorghum in Australia - Improving transpiration efficiency in sorghum.
    Queensland Department Primary Industries
    Open grant
  • 1997 - 1999
    Overcoming production constraints to sorghum in rainfed environments in India and Australia.
    Queensland Department Primary Industries
    Open grant
  • 1996
    To attend, present papers and participate in the 8th Australian Wheat Breed Assembly to be held in Canberra in 1996 - for several people.
    Grains Research & Development Corporation
    Open grant
  • 1996 - 2000
    Plant breeding strategies for rainfed lowland rice in Northeast Thailand and Laos.
    Australian Centre for International Agricultural Research
    Open grant
  • 1995 - 2001
    Germplasm enhancement program to develop high yield and high protein parents for the northern region wheat breeding programs
    Queensland Department Primary Industries
    Open grant
  • 1994 - 1999
    Drought resistance in rice.
    Rockefeller Foundation, The
    Open grant

Supervision

Availability

Professor Mark Cooper is:
Available for supervision

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Supervision history

Current supervision

  • Doctor Philosophy

    Phylogenomic and ecophysiological investigations of transferability of adaptation solutions within the Andropogoneae tribe

    Principal Advisor

  • Doctor Philosophy

    Experimental investigation in Arabidopsis thaliana of realised selection trajectories for complex branching and flowering traits under the control of gene networks following application of genomic prediction methods.

    Principal Advisor

    Other advisors: Professor Christine Beveridge, Dr Owen Powell

  • Doctor Philosophy

    Assessment of machine learning methods to discover novel models of gene networks to improve genomic prediction for plant breeding

    Principal Advisor

    Other advisors: Dr James Lefevre, Dr Owen Powell

  • Doctor Philosophy

    Genomic prediction of lodging in sorghum

    Associate Advisor

    Other advisors: Professor Emma Mace, Professor David Jordan

  • Doctor Philosophy

    Testing the branching model predictions using mutant perturbations of populations

    Associate Advisor

    Other advisors: Dr Yang Liu, Professor Christine Beveridge

  • Doctor Philosophy

    Predicting Plant Success For Future Generations

    Associate Advisor

    Other advisors: Dr Owen Powell

  • Doctor Philosophy

    Network biology of quantitative traits in sorghum

    Associate Advisor

    Other advisors: Professor Graeme Hammer, Professor Emma Mace, Dr Sofie Pearson, Professor David Jordan

Completed supervision

Media

Enquiries

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