Professor Scott Chapman

Professor in Crop Physiology

School of Agriculture and Food Sciences
Faculty of Science

Affiliated Professorial Res Fellow

Centre for Crop Science
Queensland Alliance for Agriculture and Food Innovation
+61 7 54601 108
+61 7 54601 621



  • PhD, The University of Queensland
  • B Agr Sc 1st class honors, University of Queensland


View all Publications


  • Doctor Philosophy

  • Doctor Philosophy

  • Doctor Philosophy

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

  • 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

  • Bustos-Korts, Daniela, Malosetti, Marcos, Chapman, Scott and van Eeuwijk, Fred (2015). Modelling of genotype by environment interaction and prediction of complex traits across multiple environments as a synthesis of crop growth modelling, genetics and statistics. In Crop Systems Biology: Narrowing the Gaps Between Crop Modelling and Genetics (pp. 55-82) Cham, Switzerland: Springer International Publishing. doi:10.1007/978-3-319-20562-5_3

  • Hathorn, Adrian and Chapman, Scott C. (2014). Historical and prospective applications of ‘quantitative genomics’ in utilising germplasm resources. In Roberto Tuberosa, Andreas Graner and Emile Frison (Ed.), Genomics of plant genetic resources: volume 1. managing, sequencing and mining genetic resources (pp. 93-110) Dordrecht, Netherlands : Springer Netherlands. doi:10.1007/978-94-007-7572-5_5

  • Hathorn, Adrian, Chapman, Scott and Dieters, Mark (2014). Simulated breeding with QU-GENE graphical user interface. In Delphine Fleury and Ryan Whitford (Ed.), Crop breeding: methods and protocols (pp. 131-142) New York, NY, United States: Humana Press. doi:10.1007/978-1-4939-0446-4_11

  • Reynolds, Matthew P., Hays, Dirk and Chapman, Scott (2010). Breeding for adaptation to heat and drought stress. In Climate Change and Crop Production (pp. 71-91) : CABI Publishing.

  • Rebetzke, Greg J., Chapman, Scott C., Lynne Mcintyre, C., Richards, Richard A., Condon, Anthony G., Watt, Michelle and Van Herwaarden, Anthony F. (2009). Grain Yield Improvement in Water-Limited Environments. In Wheat Science and Trade (pp. 215-249) : Wiley-Blackwell. doi:10.1002/9780813818832.ch11

  • Cooper, M., Podlich, D., Micallef, K. P., Smith, O. S., Jensen, N. M., Chapman, S. C. and Kruger, N. L. (2002). Complexity, quantitative traits and plant breeding: a role for simulation modelling in the genetic improvement of crops. In M. S. Kang (Ed.), Quantitative Genetics, Genomics and Plant Breeding (pp. 143-166) Wallingford, UK: CAB International.

  • 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

  • Doctor Philosophy — Principal Advisor

    Other advisors:

  • Doctor Philosophy — Associate Advisor

  • Doctor Philosophy — Associate Advisor

  • Doctor Philosophy — Associate Advisor

Completed Supervision