Professor Scott Chapman

Professor in Crop Physiology

School of Agriculture and Food Sciences
Faculty of Science

Professor in Crop Physiology

Centre for Crop Science
Queensland Alliance for Agriculture and Food Innovation

Affiliated Academic Level E

Queensland Alliance for Agriculture and Food Innovation
scott.chapman@uq.edu.au
+61 7 54601 108
+61 7 54601 621

Overview

Summary of Research:

  • Genetic and environment effects on physiology of field crops, particularly where drought dominates. Application of quantitative approaches (crop simulation and statistical methods) and phenotyping (aerial imaging, canopy monitoring) to integrate the understanding of interactions of genetics, growth and development and the bio-physical environment on crop yield. In recent years, this work has expanded more generally into various applications in digital agriculture from work on canopy temperature sensing for irrigation decisions through to applications of deep-learning to imagery to assist breeding programs.
  • Much of this research was undertaken with CSIRO since 1996. Building on an almost continuous collaboration with UQ over that time, including as an Adjunct Professor to QAAFI, Prof Chapman was jointly appointed (50%) as a Professor in Crop Physiology in the UQ School of Agriculture and Food Sciences from 2017 to 2020, and at 100% with UQ from Sep 2020. He has led numerous research projects that impact local and global public and private breeding programs in wheat, sorghum, sunflower and sugarcane; led a national research program on research in ‘Climate-Ready Cereals’ in the early 2010s; and was one of the first researchers to deploy UAV technologies to monitor plant breeding programs. Current projects include a US DoE project with Purdue University, and multiple projects with CSIRO, U Adelaide, La Trobe, INRA (France) and U Tokyo. With > 8500 citations, Prof Chapman is currently in the top 1% of authors cited in the ESI fields of Plant and Animal Sciences and in Agricultural Sciences.

Qualifications

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

Publications

View all Publications

Grants

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Supervision

  • Doctor Philosophy

  • Doctor Philosophy

  • Doctor Philosophy

View all Supervision

Available Projects

  • We are working with stereo cameras to analyse how crops grow. The project is to develop image processing algorithms to extract data from these images.

View all Available Projects

Publications

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. 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, 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. 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

  • 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

  • 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. 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. Genomics of plant genetic resources: volume 1. managing, sequencing and mining genetic resources. (pp. 93-110) edited by Roberto Tuberosa, Andreas Graner and Emile Frison. 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. 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. Wheat Science and Trade. (pp. 215-249) Oxford, UK: Wiley-Blackwell. doi: 10.1002/9780813818832.ch11

  • Cooper, Mark, van Eeuwijk, Fred, Chapman, Scott C., Podlich, Dean W. and Loffler, Carlos (2006). Genotype-by-environment interactions under water-limited conditions. Drought Adaptation in Cereals. (pp. 51-96) edited by Jean-Marcel Ribaut. New York, NY, United States: Food Products Press.

  • 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. Quantitative Genetics, Genomics and Plant Breeding. (pp. 143-166) edited by M. S. Kang. Wallingford, UK: CAB International.

  • 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.

Journal Article

Conference Publication

Other Outputs

PhD and MPhil Supervision

Current Supervision

  • Doctor Philosophy — Principal Advisor

    Other advisors:

  • Doctor Philosophy — Principal Advisor

  • Doctor Philosophy — Associate Advisor

  • Doctor Philosophy — Associate Advisor

  • Doctor Philosophy — Associate Advisor

  • Doctor Philosophy — Associate Advisor

Completed Supervision

Possible Research Projects

Note for students: The possible research projects listed on this page may not be comprehensive or up to date. Always feel free to contact the staff for more information, and also with your own research ideas.

  • We are working with stereo cameras to analyse how crops grow. The project is to develop image processing algorithms to extract data from these images.