Professor Graeme Hammer

Professorial Research Fellow

Centre for Crop Science
Queensland Alliance for Agriculture and Food Innovation
+61 7 334 69463


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.

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 leads the UQ node of the ARC Centre of Excellence in Translational Photosynthesis ( and the UQ link to the APSIM Initiative, which is responsible for the on-going development of the APSIM modelling software platform (, 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.


  • Doctor of Philosophy, University of Kansas
  • Master of Science, University of Melbourne
  • Bachelor of Arts, The University of Queensland
  • Bachelor of Science, University of Melbourne


View all Publications


View all Supervision


Book Chapter

  • Potgieter, Andries B., Watson, James, George-Jaeggli, Barbara, McLean, Gregory, Eldridge, Mark, Chapman, Scott C., Laws, Kenneth, Christopher, Jack, Chenu, Karine, Borrell, Andrew, Hammer, Graeme and Jordan, David R. (2019). The use of hyperspectral proximal sensing for phenotyping of plant breeding trials. In Prasad S. Thenkabail, John G. Lyon and Alfredo Huete (Ed.), Fundamentals, Sensor Systems, Spectral Libraries, and Data Mining for Vegetation (pp. 127-148) Boca Raton FL, United States: CRC Press Taylor and Francis Group.

  • Chapman, Scott C., Zheng, Bangyou, Potgieter, Andries B., Guo, Wei, Baret, Frederic, Liu, Shouyang, Madec, Simon, Solan, Benoit, George-Jaeggli, Barbara, Hammer, Graeme L. and Jordan, David R. (2018). Visible, near infrared, and thermal spectral radiance on-board UAVs for high-throughput phenotyping of plant breeding trials. In Prasad S. Thenkabail, John G. Lyon and Alfredo Huete (Ed.), Biophysical and biochemical characterization and plant species studies (pp. 275-299) Boca Raton, FL, United States: CRC Press. doi:10.1201/9780429431180-10

  • Joshi, Dinesh, Singh, Vijaya, van Oosterom, Erik, Mace, Emma, Jordan, David and Hammer, Graeme (2016). Genetic manipulation of root system architecture to improve drought adaptation in sorghum. In Rakshit, Sujay and Wang, Yi-Hong (Ed.), The sorghum genome (pp. 207-226) Cham, Switzerland: Springer. doi:10.1007/978-3-319-47789-3_11

  • Hammer, Graeme, Messina, Charlie, van Oosterom, Erik, Chapman, Scott, Singh, Vijaya, Borrell, Andrew, Jordan, David and Cooper, Mark (2016). Molecular breeding for complex adaptive traits: how integrating crop ecophysiology and modelling can enhance efficiency. In Xinyou Yin and Paul C. Struik (Ed.), Crop systems biology: narrowing the gaps between crop modelling and genetics (pp. 147-162) Cham, Switzerland: Springer International Publishing. doi:10.1007/978-3-319-20562-5_7

  • Hammer, Graeme, McLean, Greg, Doherty, Al, van Oosterom, Erik and Chapman, Scott (2016). Sorghum crop modeling and its utility in agronomy and breeding. In Ignacio Ciampitti and Vara Prasad (Ed.), Sorghum: state of the art and future perspectives (pp. 1-25) Madison, WI United States: American Society of Agronomy and Crop Science Society of America. doi:10.2134/agronmonogr58.2014.0064

  • Messina, C., Hammer, G., Dong, Z., Podlich, D. and Cooper, M. (2009). Modelling crop improvement in a GXEXM framework via gene-trail-phenotype relationships. In Sadras, V.O. and Calderini, D. (Ed.), Crop physiology: Applications for Genetic Improvement and Agronomy (pp. 235-265) Netherlands: Elsevier. doi:10.1016/B978-0-12-374431-9.00010-4

  • Hammer, G. L. and Jordan, D. R. (2007). An intergrated systems approach to crop improvement. In J.H.J. Spiertz, P.C. Struik and H.H. van Laar (Ed.), Scale and complexity in plant systems research : Gene-plant-crop relations (pp. 45-61) The Netherlands: Springer.

  • Borrell, Andrew, Jordan, David, Mullet, John, Henzell, Bob and Hammer, Graeme (2006). Drought adaptation in sorghum. In Jean-Marcel Ribot (Ed.), Drought adaptation in cereals (pp. 335-399) New York, U.S.A.: The Haworth Press.

  • Chapman, S.C., Hammer, G. L., Podlich, D. and Cooper, M. (2002). Linking biophysical and genetic models to integrate physiology, molecular biology and plant breeding. In M.S. Kang (Ed.), Quantitative Genetics, Genomics and Plant Breeding 1 ed. (pp. 167-187) Wallingford, UK: CAB International.

  • Hill, H.S.J., Butler, D., Fuller, S.W., Hammer, G. L., Holzworth, D., Love, A. H. A., Meinke, H., Mjelde, J.W., Park, J. and Rosenthal, W. (2001). Effects of seasonal climate variability and the use of climate forecasts on wheat supply in the United States, Australia and Canada. In C. Rosenzweig, K. Boote, S. Hollinger and A. Iglesias and J. Phillips (Ed.), Impacts of El Nino and Climate Viariability on Agriculture (pp. 101-123) Madison, Wisconsin, USA: American Society of Agronomy.

  • Cooper, M., Podlich, D., Jensen, N., Chapman, S. C. and Hammer, G. L. (1999). Modelling plant breeding programs. In Trends in Agronomy (pp. 33-64) Trivandrum, India: Research Trends.

Journal Article

Conference Publication

Other Outputs

Grants (Administered at UQ)

PhD and MPhil Supervision

Current Supervision

Completed Supervision