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Professor Graeme Hammer
Professor

Graeme Hammer

Email: 
Phone: 
+61 7 334 69463

Overview

Background

Graeme is a Professor in Crop Science at the Centre for Crop Science in the Queensland Alliance for Agriculture and Food Innovation (QAAFI), which is a research institute of The University of Queensland, Australia.

Graeme conducts research on the physiology and genetics of complex adaptive traits in field crops with a focus on water productivity in cereals. His research underpins the development of mathematical models of crop growth, development and yield that enable simulation of consequences of genetic and management manipulation of crops in specific target environments.

His research approach provides unique opportunities to:

· Aid crop management and design for enhanced production in water-limited environments

· Enhance the utility of molecular breeding for drought adaptation, and

· Identify avenues to cope with climate risks in field crop production.

He is a Fellow of the Australian Agriculture Institute and was awarded the Australian Medal for Agricultural Science in 2013 and Farrer Memorial Medal in 2012.

Availability

Professor Graeme Hammer is:
Not available for supervision
Media expert

Fields of research

Qualifications

  • Bachelor (Honours) of Science in Forestry, University of Melbourne
  • Bachelor of Arts in Mathematics, The University of Queensland
  • Masters (Research) of Forest Science, University of Melbourne
  • Doctor of Philosophy, Kansas State University

Research impacts

Prof. Hammer's research capabilities are focused on the major cereal crops: sorghum, maize and wheat. His expertise in crop ecophysiology and modelling enable Graeme to investigate traits and management systems that have the potential to deliver productivity gains in water-limited production environments. He collaborates closely with plant breeders, geneticists, molecular biologists and agronomists in a range of national and international research projects in both public and private sectors. He is a Chief Investigator in the ARC Centre of Excellence in Plant Success in Nature and Agriculture (www.plantsuccess.org) and leads the UQ link to the APSIM Initiative, which is responsible for the on-going development of the APSIM modelling software platform (www.apsim.info), which is now used world-wide.

His research has focussed on traits and management systems that influence resource capture and resource use efficiency, including tillering and canopy development, root system architecture, maturity, carbon and nitrogen partitioning, light use and transpiration efficiencies. The detailed understanding that transpires from such work can generate approaches to phenotyping that provide avenues for linking with advanced approaches to molecular breeding and crop improvement.

Works

Search Professor Graeme Hammer’s works on UQ eSpace

415 works between 1978 and 2024

1 - 20 of 415 works

2024

Journal Article

Influence of crop development and fruit retention on the timing of crop maturity in Ultra-narrow row cotton

Roche, R., Hammer, G. L., Milroy, S. P. and Bange, M. P. (2024). Influence of crop development and fruit retention on the timing of crop maturity in Ultra-narrow row cotton. Field Crops Research, 317 109542, 109542. doi: 10.1016/j.fcr.2024.109542

Influence of crop development and fruit retention on the timing of crop maturity in Ultra-narrow row cotton

2024

Conference Publication

Prediction of non-additive genetic effects with hierarchical genomic prediction models

Powell, Owen, McLean, Greg, Brider, Jason, Saddigh, Joe, Technow, Frank, Tang, Tom, Totir, Radu, Messina, Carlos D., Hammer, Graeme and Cooper, Mark (2024). Prediction of non-additive genetic effects with hierarchical genomic prediction models. International Conference of Quantitative Genetics (ICQG) 7, Vienna, Austria, 22-26 July 2024. doi: 10.6084/m9.figshare.26425735.v1

Prediction of non-additive genetic effects with hierarchical genomic prediction models

2024

Journal Article

APSIM-based modeling approach to understand sorghum production environments in Mali

Diancoumba, Madina, Kholova, Jana, Adam, Myriam, Famanta, Mahamoudou, Clerget, Benoit, Traore, Pierre C. S., Weltzien, Eva, Vacksmann, Michel, Mclean, Greg, Hammer, Graeme L., van Oosterom, Erik J. and Vadez, Vincent (2024). APSIM-based modeling approach to understand sorghum production environments in Mali. Agronomy for Sustainable Development, 44 (3) 25. doi: 10.1007/s13593-023-00909-5

APSIM-based modeling approach to understand sorghum production environments in Mali

2024

Journal Article

Seasonal dynamics of fallow and cropping lands in the broadacre cropping region of Australia

Xie, Zunyi, Zhao, Yan, Jiang, Ruizhu, Zhang, Miao, Hammer, Graeme, Chapman, Scott, Brider, Jason and Potgieter, Andries B. (2024). Seasonal dynamics of fallow and cropping lands in the broadacre cropping region of Australia. Remote Sensing of Environment, 305 114070, 1-14. doi: 10.1016/j.rse.2024.114070

Seasonal dynamics of fallow and cropping lands in the broadacre cropping region of Australia

2024

Journal Article

Contrasting leaf‐scale photosynthetic low‐light response and its temperature dependency are key to differences in crop‐scale radiation use efficiency

Wu, Alex, Truong, Sandra Huynh, McCormick, Ryan, van Oosterom, Erik J., Messina, Carlos D., Cooper, Mark and Hammer, Graeme L. (2024). Contrasting leaf‐scale photosynthetic low‐light response and its temperature dependency are key to differences in crop‐scale radiation use efficiency. New Phytologist, 241 (6), 2435-2447. doi: 10.1111/nph.19537

Contrasting leaf‐scale photosynthetic low‐light response and its temperature dependency are key to differences in crop‐scale radiation use efficiency

2023

Conference Publication

APSIM-WGP: a software platform to predict crop GxExM interactions

Powell, Owen, McLean, Greg, Brider, Jason, Hammer, Graeme and Cooper, Mark (2023). APSIM-WGP: a software platform to predict crop GxExM interactions. GxExM Symposium II, Gainesville, FL USA, 6-7 November 2023.

APSIM-WGP: a software platform to predict crop GxExM interactions

2023

Journal Article

Modelling the dynamics and phenotypic consequences of tiller outgrowth and cessation in sorghum

Hammer, G. L., McLean, G., Kholová, J. and van Oosterom, E. (2023). Modelling the dynamics and phenotypic consequences of tiller outgrowth and cessation in sorghum. in silico Plants, 5 (2) diad019, 1-14. doi: 10.1093/insilicoplants/diad019

Modelling the dynamics and phenotypic consequences of tiller outgrowth and cessation in sorghum

2023

Conference Publication

Advances in the study of biochemical, morphological and physiological traits of wheat and sorghum crops in australia using hyperspectral data and machine learning

Potgieter, A. B., Camino, C., Poblete, T., Zhi, X., Reynolds-Massey-Reed, S., Zhao, Y., Belwalkar, A., Ruizhu, J., George-Jaeggli, B., Chapman, S., Jordan, D., Wu, A., Hammer, G. L. and J, Zarco-Tejada P. (2023). Advances in the study of biochemical, morphological and physiological traits of wheat and sorghum crops in australia using hyperspectral data and machine learning. 2023 IEEE International Geoscience and Remote Sensing Symposium, Pasadena, CA USA, 16-21 July 2023. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/igarss52108.2023.10282230

Advances in the study of biochemical, morphological and physiological traits of wheat and sorghum crops in australia using hyperspectral data and machine learning

2023

Journal Article

Two decades of harnessing standing genetic variation for physiological traits to improve drought tolerance in maize

Messina, Carlos D., Gho, Carla, Hammer, Graeme L., Tang, Tom and Cooper, Mark (2023). Two decades of harnessing standing genetic variation for physiological traits to improve drought tolerance in maize. Journal of Experimental Botany, 74 (16), 4847-4861. doi: 10.1093/jxb/erad231

Two decades of harnessing standing genetic variation for physiological traits to improve drought tolerance in maize

2023

Other Outputs

In Silico Sorghum GxExM Dataset For Prediction Algorithm Comparisons

Owen Powell, Greg McLean, Jason Brider, Mark Cooper and Graeme Hammer (2023). In Silico Sorghum GxExM Dataset For Prediction Algorithm Comparisons. figShare. (Dataset) doi: 10.6084/m9.figshare.23789685.v2

In Silico Sorghum GxExM Dataset For Prediction Algorithm Comparisons

2023

Conference Publication

Evaluating variation in stem strength in response to artificial drought stress amongst sorghum genotypes

Geetika, Geetika, Borrell, Andrew, Thornton, Erin, Hunt, Colleen, Chapman, Scott, Philp, Trevor, Fekybelu, Solomon, Potgieter, Andries, Godwin, Ian, Hammer, Graeme, Mace, Emma and Jordan, David (2023). Evaluating variation in stem strength in response to artificial drought stress amongst sorghum genotypes. Global Sorghum Conference Sorghum in the 21st Century, Montpellier, France, 5-9 June 2023.

Evaluating variation in stem strength in response to artificial drought stress amongst sorghum genotypes

2023

Conference Publication

Evaluating variation in stem strength in response to artificial drought stress amongst sorghum genotypes

Geetika, Geetika, Borrell, Andrew, Thornton, Erin, Reed, Sean, Hunt, Colleen, Chapman, Scott, Philp, Trevor, Fekybelu, Solomon, Potgieter, Andries, Godwin, Ian, Hammer, Graeme, Mace, Emma and Jordan, David (2023). Evaluating variation in stem strength in response to artificial drought stress amongst sorghum genotypes. Australian Summer Grains Conference, Gold Coast, QLD Australia, 13-15 March 2023.

Evaluating variation in stem strength in response to artificial drought stress amongst sorghum genotypes

2023

Journal Article

Differences in temperature responses among phenological processes in diverse Ethiopian sorghum germplasm can affect their specific adaptation to environmental conditions

Tirfessa, Alemu, McLean, Greg, Baker, Peter, Mortlock, Miranda, Hammer, Graeme and van Oosterom, Erik (2023). Differences in temperature responses among phenological processes in diverse Ethiopian sorghum germplasm can affect their specific adaptation to environmental conditions. Annals of Botany, 131 (4), 601-611. doi: 10.1093/aob/mcad011

Differences in temperature responses among phenological processes in diverse Ethiopian sorghum germplasm can affect their specific adaptation to environmental conditions

2023

Journal Article

Retrospective study in US commercial sorghum breeding: II. Physiological changes associated to yield gain

Demarco, Paula A., Mayor, Laura, Rotundo, José L., Prasad, P. V. Vara, Morris, Geoffrey P., Fernandez, Javier A., Tamagno, Santiago, Hammer, Graeme, Messina, Carlos D. and Ciampitti, Ignacio A. (2023). Retrospective study in US commercial sorghum breeding: II. Physiological changes associated to yield gain. Crop Science, 63 (2), 867-878. doi: 10.1002/csc2.20845

Retrospective study in US commercial sorghum breeding: II. Physiological changes associated to yield gain

2023

Conference Publication

Hierarchical Gene-Phenotype Maps as a Framework to Predict GxExM Interactions

Powell, Owen, McLean, Greg, Brider, Jason, Technow, Frank, Tang, Tom, Messina, Carlos D., Hammer, Graeme and Cooper, Mark (2023). Hierarchical Gene-Phenotype Maps as a Framework to Predict GxExM Interactions. Quantitative Genetics and Genomics Gordon Research Conference, Ventura, CA, United States, 12-17 February 2023.

Hierarchical Gene-Phenotype Maps as a Framework to Predict GxExM Interactions

2023

Journal Article

Retrospective study in US commercial sorghum breeding: I. Genetic gain in relation to relative maturity

Mayor, L., Demarco, P., Lira, S., Fang, Y., Abadie, T., Gambin, B., Hammer, G., Ciampitti, I., Cooper, M. and Messina, C. (2023). Retrospective study in US commercial sorghum breeding: I. Genetic gain in relation to relative maturity. Crop Science, 63 (2), 501-510. doi: 10.1002/csc2.20897

Retrospective study in US commercial sorghum breeding: I. Genetic gain in relation to relative maturity

2023

Journal Article

Modeling adaptation of sorghum in Ethiopia with APSIM—opportunities with G×E×M

Tirfessa, Alemu, Getachew, Fikadu, McLean, Greg, van Oosterom, Erik, Jordan, David and Hammer, Graeme (2023). Modeling adaptation of sorghum in Ethiopia with APSIM—opportunities with G×E×M. Agronomy for Sustainable Development, 43 (1) 15, 1-13. doi: 10.1007/s13593-023-00869-w

Modeling adaptation of sorghum in Ethiopia with APSIM—opportunities with G×E×M

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

Other Outputs

Field trial raw and processed datasets for 2020 winter field season

Armstrong, Robert, Potgieter, Andries, Hammer, Graeme, Mortlock, Miranda, Biddulph, Ben, Curry, Jeremy, Height, Nathan, McCallum, Melissa, Porker, Kenton, Harris, Felicity, Bathgate, Jordan, Simpson, Jess, Clarke, Genevieve, Giblot-Ducray, Danièle, Fairlie, William, Hughes, David and Cullis, Brian (2023). Field trial raw and processed datasets for 2020 winter field season. The University of Queensland. (Dataset) doi: 10.48610/721f2e2

Field trial raw and processed datasets for 2020 winter field season

2023

Other Outputs

LMA Risk maps at Shire scale

Armstrong, Robert, Potgieter, Andries, Brider, Jason and Hammer, Graeme (2023). LMA Risk maps at Shire scale. The University of Queensland. (Dataset) doi: 10.48610/1774e6f

LMA Risk maps at Shire scale

Funding

Current funding

  • 2024 - 2025
    RiskSSmart: Digital tool for de-risking sorghum production decisions (SMART SAT CRC)
    SmartSat CRC
    Open grant
  • 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
  • 2018 - 2024
    Enhancing Light Use Efficiency to break through yield potential barriers in grain crops
    Pioneer Hi-Bred International Inc.
    Open grant
  • 2018 - 2024
    Optimising mungbean yields - mungbean physiology
    Grains Research & Development Corporation
    Open grant

Past funding

  • 2021 - 2022
    Crop Growth Modeling
    BASF Corporation
    Open grant
  • 2020 - 2023
    LMA Project C: An improved model of Late Maturity Alpha-Amylase (LMA) field risk in Australian wheat
    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
  • 2019 - 2023
    Beat the heat: Adapting sorghum crops for global climate futures
    ARC Linkage Projects
    Open grant
  • 2016 - 2019
    Automated Sorghum Phenotyping and Trait Development Platform
    Purdue University
    Open grant
  • 2015 - 2019
    A Genetic x Environment characterization of the risk for Late Maturity Alpha-amylase across the main wheat producing shires of Australia
    Grains Research & Development Corporation
    Open grant
  • 2014 - 2021
    ARC Centre of Excellence for Translational Photosynthesis (ANU lead institution)
    Australian National University
    Open grant
  • 2014 - 2018
    A Targeted Approach to Sorghum Improvement in Moisture Stress Areas of Ethiopia
    Australian Centre for International Agricultural Research
    Open grant
  • 2013
    Development of an updated pearl millet model in APSIM
    International Crops Research Institute for the Semi-Arid Tropics
    Open grant
  • 2012 - 2020
    A targeted approach to sorghum improvement in moisture stress areas of Ethiopia and Mali
    Bill & Melinda Gates Foundation
    Open grant
  • 2012 - 2016
    Crop modelling support for the Australian grains industry
    Grains Research & Development Corporation
    Open grant
  • 2012 - 2013
    Modelling GxE in crop production to make greater use of water available during the growing season
    CSIRO Flagships Collaboration Fund
    Open grant
  • 2012
    Confocal Microscopy Infrastructure for Plant Sciences
    UQ Major Equipment and Infrastructure
    Open grant
  • 2010 - 2013
    Enabling Molecular Plant Breeding for Drought Adaptation Using Genome-to-Phenome Modelling Technologies
    ARC Linkage Projects
    Open grant
  • 2010 - 2015
    DROPS - Drought tolerant yielding plants
    Department of Innovation, Industry, Science and Research
    Open grant
  • 2010
    UQ Travel Awards Category 2, Graeme Hammer
    UQ Travel Grants Scheme
    Open grant
  • 2010 - 2013
    Experiments and models to capture genotypic differences in physiological controls of carbon allocation among plant organs and economic yield in wheat
    Queensland Department of Employment, Economic Development and Innovation
    Open grant
  • 2009 - 2012
    A national research program for climate-ready cereals
    CSIRO Flagships Collaboration Fund
    Open grant
  • 2009 - 2010
    Enabling Molecular Plant Breeding Using Integrated Genome-to-Phenome Modelling Technologies
    Pioneer Hi-Bred International Inc.
    Open grant
  • 2009
    l-PAD - A lysimetry platform for study of plant adaptation to drought
    UQ School/Centre Co-Funding
    Open grant
  • 2009 - 2011
    Mechanistic characterisation of genotype x environment interactions in sorghum and arabidopsis
    ARC Discovery Projects
    Open grant
  • 2008 - 2017
    Improving postrainy sorghum varieties to meet the growing grain and fodder demand in India (ACIAR project led by ICRISAT)
    International Crops Research Institute for the Semi-Arid Tropics
    Open grant
  • 2008 - 2013
    Optimised wheat root architecture for increased yield and yield stability in the face of a changing climate
    Grains Research & Development Corporation
    Open grant
  • 2008 - 2011
    Professorial Chair in Crop Science
    Grains Research & Development Corporation
    Open grant
  • 2005 - 2006
    Developing predictive systems for wheat quality
    Queensland Department Primary Industries
    Open grant
  • 2005 - 2008
    Improved Performance of Cereal Roots in Australian Farming systems - Matching Roots to Cropping Systems in the Northern Cropping Region
    Grains Research & Development Corporation
    Open grant
  • 2005 - 2008
    Salary for Chair in Crop Science and Innovation - Grains Research and Development Corporation
    Grains Research & Development Corporation
    Open grant
  • 2005 - 2011
    Salary for Chair in Crop Science and Innovation - Queensland Department of Primary Industries and Fisheries
    Queensland Department Primary Industries
    Open grant
  • 2005 - 2009
    Systems Biology To Integrate Genomics Into Crop Improvement Programs
    ARC Linkage Projects
    Open grant
  • 2005 - 2007
    Whole plant physiology modeling of drought tolerance in cereals
    CSIRO
    Open grant
  • 2004 - 2007
    Integrated Crop Improvement Technologies for Rapid Genetic Advance
    Queensland Department Primary Industries
    Open grant

Supervision

Availability

Professor Graeme Hammer is:
Not available for supervision

Supervision history

Current supervision

Completed supervision

Media

Enquiries

Contact Professor Graeme Hammer directly for media enquiries about:

  • Crop - adaptation, physiology
  • Crop improvement
  • Crop modelling
  • Crop physiology
  • Crop-climate interactions
  • Grain crop production systems

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