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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

304 works between 1992 and 2024

41 - 60 of 304 works

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?

2022

Conference Publication

The pursuit of excellence; some reflections after 50+ years of plant breeding at The University of Queensland (9771)

Lambrides, Christopher , Basford, Kaye , DeLacy, Ian , Cooper, Mark , Hardner, Craig , Godwin, Ian , Dieters, Mark and Arief, Vivi (2022). The pursuit of excellence; some reflections after 50+ years of plant breeding at The University of Queensland (9771). Australasian Plant Breeding Conference, Gold Coast, QLD, Australia, 9-11 May 2022.

The pursuit of excellence; some reflections after 50+ years of plant breeding at The University of Queensland (9771)

2022

Journal Article

Crop improvement for circular bioeconomy systems

Messina, Carlos D., van Eeuwijk, Fred, Tang, Tom, Truong, Sandra K., McCormick, Ryan F., Technow, Frank, Powell, Owen, Mayor, Laura, Gutterson, Neal, Jones, James W., Hammer, Graeme and Cooper, Mark (2022). Crop improvement for circular bioeconomy systems. Journal of the ASABE, 65 (3), 491-504. doi: 10.13031/ja.14912

Crop improvement for circular bioeconomy systems

2021

Journal Article

Can we harness “enviromics” to accelerate crop improvement by integrating breeding and agronomy?

Cooper, Mark and Messina, Carlos D. (2021). Can we harness “enviromics” to accelerate crop improvement by integrating breeding and agronomy?. Frontiers in Plant Science, 12 735143, 735143. doi: 10.3389/fpls.2021.735143

Can we harness “enviromics” to accelerate crop improvement by integrating breeding and agronomy?

2021

Journal Article

Predicting phenotypes from genetic, environment, management, and historical data using CNNs

Washburn, Jacob D., Cimen, Emre, Ramstein, Guillaume, Reeves, Timothy, O'Briant, Patrick, McLean, Greg, Cooper, Mark, Hammer, Graeme and Buckler, Edward S. (2021). Predicting phenotypes from genetic, environment, management, and historical data using CNNs. Theoretical and Applied Genetics, 134 (12), 3997-4011. doi: 10.1007/s00122-021-03943-7

Predicting phenotypes from genetic, environment, management, and historical data using CNNs

2021

Journal Article

Plant production in water-limited environments

Hammer, Graeme L., Cooper, Mark and Reynolds, Matthew P. (2021). Plant production in water-limited environments. Journal of Experimental Botany, 72 (14), 5097-5101. doi: 10.1093/jxb/erab273

Plant production in water-limited environments

2021

Journal Article

Perspectives on applications of hierarchical gene-to-phenotype (G2P) maps to capture non-stationary effects of alleles in genomic prediction

Powell, Owen M., Voss-Fels, Kai P., Jordan, David R., Hammer, Graeme and Cooper, Mark (2021). Perspectives on applications of hierarchical gene-to-phenotype (G2P) maps to capture non-stationary effects of alleles in genomic prediction. Frontiers in Plant Science, 12 663565, 663565. doi: 10.3389/fpls.2021.663565/full

Perspectives on applications of hierarchical gene-to-phenotype (G2P) maps to capture non-stationary effects of alleles in genomic prediction

2021

Journal Article

Addressing research bottlenecks to crop productivity

Reynolds, Matthew, Atkin, Owen K., Bennett, Malcolm, Cooper, Mark, Dodd, Ian C., Foulkes, M. John, Frohberg, Claus, Hammer, Graeme, Henderson, Ian R., Huang, Bingru, Korzun, Viktor, McCouch, Susan R., Messina, Carlos D., Pogson, Barry J., Slafer, Gustavo A., Taylor, Nicolas L. and Wittich, Peter E. (2021). Addressing research bottlenecks to crop productivity. Trends in Plant Science, 26 (6), 607-630. doi: 10.1016/j.tplants.2021.03.011

Addressing research bottlenecks to crop productivity

2021

Journal Article

Reproductive resilience but not root architecture underpins yield improvement under drought in maize (Zea mays L.)

Messina, Carlos, McDonald, Dan, Poffenbarger, Hanna, Clark, Randy, Salinas, Andrea, Fang, Yinan, Gho, Carla, Tang, Tom, Graham, Geoff, Hammer, Graeme and Cooper, Mark (2021). Reproductive resilience but not root architecture underpins yield improvement under drought in maize (Zea mays L.). Journal of Experimental Botany, 72 (14), 5235-5245. doi: 10.1093/jxb/erab231

Reproductive resilience but not root architecture underpins yield improvement under drought in maize (Zea mays L.)

2021

Journal Article

In pursuit of a better world: crop improvement and the CGIAR

Kholova, J, Urban, M O, Cock, J, Arcos, J, Arnaud, E, Aytekin, D, Azevedo, V, Barnes, A P, Ceccarelli, S, Chavarriaga, P, Cobb, J, Connor, D, Cooper, M, Craufurd, P, Debouck, D, Fungo, R, Grando, S, Hammer, G L, Jara, C, Messina, C, Mosquera, G, Nchanji, E, Ng, E, Prager, S, Sankaran, S, Selvaraj, M, Tardieu, F, Thornton, P, Valdes, S ... Xu, Yunbi (2021). In pursuit of a better world: crop improvement and the CGIAR. Journal of Experimental Botany, 72 (14), 5158-5179. doi: 10.1093/jxb/erab226

In pursuit of a better world: crop improvement and the CGIAR

2021

Journal Article

Back to the future: implications of genetic complexity for the structure of hybrid breeding programs

Technow, Frank, Podlich, Dean and Cooper, Mark (2021). Back to the future: implications of genetic complexity for the structure of hybrid breeding programs. G3: Genes, Genomes, Genetics, 11 (7) jkab153. doi: 10.1093/g3journal/jkab153

Back to the future: implications of genetic complexity for the structure of hybrid breeding programs

2021

Other Outputs

Limited transpiration traits and breeding methods in maize

Cooper, Mark, Messina, Carlos, Sinclair, Thomas and Hammer, Graeme (2021). Limited transpiration traits and breeding methods in maize. 10954527.

Limited transpiration traits and breeding methods in maize

2021

Journal Article

Tackling G × E × M interactions to close on-farm yield-gaps: creating novel pathways for crop improvement by predicting contributions of genetics and management to crop productivity

Cooper, Mark, Voss-Fels, Kai P., Messina, Carlos D., Tang, Tom and Hammer, Graeme L. (2021). Tackling G × E × M interactions to close on-farm yield-gaps: creating novel pathways for crop improvement by predicting contributions of genetics and management to crop productivity. Theoretical and Applied Genetics, 134 (6), 1625-1644. doi: 10.1007/s00122-021-03812-3

Tackling G × E × M interactions to close on-farm yield-gaps: creating novel pathways for crop improvement by predicting contributions of genetics and management to crop productivity

2021

Journal Article

Strategies and considerations for implementing genomic selection to improve traits with additive and non-additive genetic architectures in sugarcane breeding

Voss-Fels, Kai P., Wei, Xianming, Ross, Elizabeth M., Frisch, Matthias, Aitken, Karen S., Cooper, Mark and Hayes, Ben J. (2021). Strategies and considerations for implementing genomic selection to improve traits with additive and non-additive genetic architectures in sugarcane breeding. Theoretical and Applied Genetics, 134 (5), 1493-1511. doi: 10.1007/s00122-021-03785-3

Strategies and considerations for implementing genomic selection to improve traits with additive and non-additive genetic architectures in sugarcane breeding

Featured

2021

Journal Article

Modelling selection response in plant breeding programs using crop models as mechanistic gene-to-phenotype (CGM-G2P) multi-trait link functions

Cooper, M., Powell, O., Voss-Fels, K. P., Messina, C. D., Gho, C., Podlich, D. W., Technow, F., Chapman, S. C., Beveridge, C. A., Ortiz-Barrientos, D. and Hammer, G. L. (2021). Modelling selection response in plant breeding programs using crop models as mechanistic gene-to-phenotype (CGM-G2P) multi-trait link functions. in silico Plants, 3 (1) diaa016, 1-21. doi: 10.1093/insilicoplants/diaa016

Modelling selection response in plant breeding programs using crop models as mechanistic gene-to-phenotype (CGM-G2P) multi-trait link functions

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

Other Outputs

Breeding with an eye on genes for paddocks

Powell, Owen and Cooper, Mark (2020, 10 02). Breeding with an eye on genes for paddocks Groundcover

Breeding with an eye on genes for paddocks

2020

Journal Article

Maize, sorghum, and pearl millet have highly contrasting species strategies to adapt to water stress and climate change-like conditions

Choudhary, Sunita , Guha, Anirban , Kholova, Jana , Pandravada, Anand , Messina, Charlie D. , Cooper, Mark and Vadez, Vincent (2020). Maize, sorghum, and pearl millet have highly contrasting species strategies to adapt to water stress and climate change-like conditions. Plant Science, 295 110297, 110297. doi: 10.1016/j.plantsci.2019.110297

Maize, sorghum, and pearl millet have highly contrasting species strategies to adapt to water stress and climate change-like conditions

2020

Journal Article

Towards a multiscale crop modelling framework for climate change adaptation assessment

Peng, Bin, Guan, Kaiyu, Tang, Jinyun, Ainsworth, Elizabeth A., Asseng, Senthold, Bernacchi, Carl J., Cooper, Mark, Delucia, Evan H., Elliott, Joshua W., Ewert, Frank, Grant, Robert F., Gustafson, David I, Hammer, Graeme L., Jin, Zhenong, Jones, James W., Kimm, Hyungsuk, Lawrence, David M., Li, Yan, Lombardozzi, Danica L., Marshall-Colon, Amy, Messina, Carlos D., Ort, Donald R., Schnable, James C., Vallejos, C. Eduardo, Wu, Alex, Yin, Xinyou and Zhou, Wang (2020). Towards a multiscale crop modelling framework for climate change adaptation assessment. Nature Plants, 6 (4), 338-348. doi: 10.1038/s41477-020-0625-3

Towards a multiscale crop modelling framework for climate change adaptation assessment

2020

Journal Article

Crop science: a foundation for advancing predictive agriculture

Messina, Carlos D., Cooper, Mark, Reynolds, Matthew and Hammer, Graeme L. (2020). Crop science: a foundation for advancing predictive agriculture. Crop Science, 60 (2) csc2.20116, 544-546. doi: 10.1002/csc2.20116

Crop science: a foundation for advancing predictive agriculture

Funding

Current funding

  • 2024 - 2029
    ARC Training Centre in Predictive Breeding for Agricultural Futures
    ARC Industrial Transformation Training Centres
    Open grant
  • 2023 - 2028
    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

Completed supervision

Media

Enquiries

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