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2019 Book Chapter The use of hyperspectral proximal sensing for phenotyping of plant breeding trialsPotgieter, 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. doi: 10.1201/9781315164151-5 |
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2018 Book Chapter The use of hyperspectral proximal sensing for phenotyping of plant breeding trialsPotgieter, 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 |
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2018 Book Chapter Visible, near infrared, and thermal spectral radiance on-board UAVs for high-throughput phenotyping of plant breeding trialsChapman, 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 |
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2016 Book Chapter Molecular breeding for complex adaptive traits: how integrating crop ecophysiology and modelling can enhance efficiencyHammer, 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 |
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2016 Book Chapter Sorghum crop modeling and its utility in agronomy and breedingHammer, 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 |
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2015 Book Chapter Modelling of genotype by environment interaction and prediction of complex traits across multiple environments as a synthesis of crop growth modelling, genetics and statisticsBustos-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 Xinyou Yin and Paul C. Struik. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-319-20562-5_3 |
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2014 Book Chapter Simulated breeding with QU-GENE graphical user interfaceHathorn, 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 |
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2014 Book Chapter Historical and prospective applications of ‘quantitative genomics’ in utilising germplasm resourcesHathorn, 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 |
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2010 Book Chapter Breeding for adaptation to heat and drought stressReynolds, 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. |
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2009 Book Chapter Grain Yield Improvement in Water-Limited EnvironmentsRebetzke, 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 |
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2006 Book Chapter Genotype-by-environment interactions under water-limited conditionsCooper, 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. doi: 10.1201/9781003578338-5 |
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2002 Book Chapter Complexity, quantitative traits and plant breeding: a role for simulation modelling in the genetic improvement of cropsCooper, 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. |
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1999 Book Chapter Modelling plant breeding programsCooper, 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. |
