Professor Scott Chapman

Professor in Crop Physiology

School of Agriculture and Food Sciences
Faculty of Science
scott.chapman@uq.edu.au
+61 7 54601 108
+61 7 54601 621

Overview

Qualifications

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

Publications

  • Bogard, Matthieu, Biddulph, Ben, Zheng, Bangyou, Hayden, Matthew, Kuchel, Haydn, Mullan, Dan, Allard, Vincent, Gouis, Jacques Le and Chapman, Scott C. (2020). Linking genetic maps and simulation to optimize breeding for wheat flowering time in current and future climates. Crop Science, 60 (2) 678-699. doi:10.1002/csc2.20113

  • Hammer, Graeme. L., McLean, Greg, van Oosterom, Erik, Chapman, Scott, Zheng, Bangyou, Wu, Alex, Doherty, Alastair and Jordan, David (2020). Designing crops for adaptation to the drought and high-temperature risks anticipated in future climates. Crop Science, 60 (2) 605-621. doi:10.1002/csc2.20110

  • Reynolds, Matthew, Chapman, Scott, Crespo-Herrera, Leonardo, Molero, Gemma, Mondal, Suchismita, Pequeno, Diego N.L., Pinto, Francisco, Pinera-Chavez, Francisco J., Poland, Jesse, Rivera-Amado, Carolina, Saint Pierre, Carolina and Sukumaran, Sivakumar (2020). Breeder friendly phenotyping. Plant Science, 295110396, doi:10.1016/j.plantsci.2019.110396

View all Publications

Grants

View all Grants

Supervision

  • Doctor Philosophy

  • Doctor Philosophy

  • Doctor Philosophy

View all Supervision

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) edited by .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. Crop breeding: methods and protocols. (pp. 131-142) edited by Delphine Fleury and Ryan Whitford.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) edited by . 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) edited by . 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) edited by .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 — Principal Advisor

    Other advisors:

  • Doctor Philosophy — Associate Advisor

  • Doctor Philosophy — Associate Advisor

  • Doctor Philosophy — Associate Advisor

  • Doctor Philosophy — Associate Advisor

Completed Supervision