Professor Graeme Hammer

Professorial Research Fellow

Centre for Crop Science
Queensland Alliance for Agriculture and Food Innovation
g.hammer@uq.edu.au
+61 7 334 69463

Overview

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 is a Chief Investigator in the ARC Centre of Excellence in Plant Success in Nature and Agriculture (www.plantsuccess.org) and the 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.

Qualifications

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

Publications

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Grants

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Supervision

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Publications

Book Chapter

  • 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

  • Borrell, Andrew, van Oosterom, Erik, George-Jaeggli, Barbara, Rodriguez, Daniel, Eyre, Joe, Jordan, David J., Mace, Emma, Singh, Vijaya, Vadez, Vincent, Bell, Mike, Godwin, Ian, Cruickshank, Alan, Tao, Yongfu and Hammer, Graeme (2021). Sorghum. Crop physiology: case histories for major crops. (pp. 196-221) edited by Victor O. Sadras and Daniel F. Calderini. London, United Kingdom: Academic Press. doi: 10.1016/B978-0-12-819194-1.00005-0

  • Borrell, A., van Oosterom, E., George-Jaeggli, B., Vadez, V., Singh, V. and Hammer, G. (2020). Physiology of growth, development and yield. Sorghum in the 21st century: food – fodder – feed – fuel for a rapidly changing world. (pp. 127-155) edited by Vilas A. Tonapi, Harvinder Singh Talwar, Ashok Kumar Are, B. Venkatesh Bhat, Ch. Ravinder Reddy and Timothy J. Dalton. Singapore, Singapore: Springer. doi: 10.1007/978-981-15-8249-3_6

  • 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. Fundamentals, sensor systems, spectral libraries, and data mining for vegetation. (pp. 127-148) edited by Prasad S. Thenkabail, John G. Lyon and Alfredo Huete. Boca Raton FL, USA: CRC Press. doi: 10.1201/9781315164151-5

  • 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 L. and Jordan, David R. (2018). The use of hyperspectral proximal sensing for phenotyping of plant breeding trials. Fundamentals, sensor systems, spectral libraries, and data mining for vegetation. (pp. 127-147) Boca Raton, FL, United States: CRC Press. doi: 10.1201/9781315164151-5

  • 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. Biophysical and biochemical characterization and plant species studies. (pp. 275-299) edited by Prasad S. Thenkabail, John G. Lyon and Alfredo Huete. 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. The sorghum genome. (pp. 207-226) edited by Sujay Rakshit and Yi-Hong Wang. 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. Crop systems biology: narrowing the gaps between crop modelling and genetics. (pp. 147-162) edited by Xinyou Yin and Paul C. Struik. 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. Sorghum: state of the art and future perspectives. (pp. 1-25) edited by Ignacio Ciampitti and Vara Prasad. Madison, WI United States: American Society of Agronomy and Crop Science Society of America. doi: 10.2134/agronmonogr58.2014.0064

  • Hammer, Graeme L. and Jordan, David (2009). An integrated systems approach to crop improvement. Drought frontiers in rice: crop improvement for increased rainfed production. (pp. 189-207) edited by R. Serraj, J. Bennett and B. Hardy. Singapore: World Scientific Publishing . doi: 10.1142/9789814280013_0011

  • Messina, C., Hammer, G., Dong, Z., Podlich, D. and Cooper, M. (2009). Modelling crop improvement in a GXEXM framework via gene-trail-phenotype relationships. Crop physiology: Applications for Genetic Improvement and Agronomy. (pp. 235-265) edited by Sadras, V.O. and Calderini, D.. 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. Scale and complexity in plant systems research : Gene-plant-crop relations. (pp. 45-61) edited by J.H.J. Spiertz, P.C. Struik and H.H. van Laar. The Netherlands: Springer.

  • Borrell, Andrew, Jordan, David, Mullet, John, Henzell, Bob and Hammer, Graeme (2006). Drought adaptation in sorghum. Drought adaptation in cereals. (pp. 335-399) edited by Jean-Marcel Ribot. 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. Quantitative Genetics, Genomics and Plant Breeding. (pp. 167-187) edited by M.S. Kang. 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. Impacts of El Nino and Climate Viariability on Agriculture. (pp. 101-123) edited by C. Rosenzweig, K. Boote, S. Hollinger and A. Iglesias and J. Phillips. 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. Trends in Agronomy. (pp. 33-64) Trivandrum, India: Research Trends.

  • Muchow, R. C., Cooper, M. and Hammer, G. L. (1996). Characterizing environmental challenges using models. Plant adaptation and crop improvement. (pp. 349-364) edited by M. Cooper and G. L. Hammer. Wallingford, United Kingdom: CAB International.

  • Cooper, Mark and Hammer, Graeme L. (1996). Preface. Plant adaptation and crop improvement. (pp. xiii-xv) edited by M. Cooper and G. L. Hammer. Wallingford, United Kingdom: CAB International.

  • Cooper, M. and Hammer, G. L. (1996). Synthesis of strategies for crop improvement. Plant adaptation and crop improvement. (pp. 591-623) edited by M. Cooper and G. L. Hammer. Wallingford, United Kingdom: CAB International.

Journal Article

Conference Publication

Other Outputs

  • 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

  • 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

  • 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

  • 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). Late Maturity alpha-Amylase winter wheat data from field trials conducted at six locations in Australia. The University of Queensland. (Dataset) doi: 10.48610/6769356

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

  • Potgieter, A. B. and Hammer, Graeme L. (2006). Oz-Wheat: a regional-scale crop yield simulation model for Australian wheat. Queensland Department of Primary Industries and Fisheries Information Series Brisbane, Australia: Queensland Department of Primary Industries and Fisheries.

Grants (Administered at UQ)

PhD and MPhil Supervision

Note for students: Professor Graeme Hammer is not currently available to take on new students.

Current Supervision

Completed Supervision