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2024 Book Chapter Transforming food production with AICooper, Mark, Hickey, Lee, Jiang, Xianxian, La Fata, Giorgio, Lomas, Harold, Miller, Tim, O’Brien, Susan, Patel, Parth and Tomarchio, Samuel (2024). Transforming food production with AI. Food AI: A game changer for Australia’s food and beverage sector. (pp. 5-13) edited by Janet R. McColl-Kennedy and Damian Hine. Brisbane, QLD, Australia: The University of Queensland, Australia's Food and Beverage Accelerator (FaBA). |
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2023 Conference Publication APSIM-WGP: a software platform to predict crop GxExM interactionsPowell, Owen, McLean, Greg, Brider, Jason, Hammer, Graeme and Cooper, Mark (2023). APSIM-WGP: a software platform to predict crop GxExM interactions. GxExM Symposium II, Gainesville, FL USA, 6-7 November 2023. |
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2023 Journal Article Genetic modification can improve crop yields — but stop overselling itKhaipho-Burch, Merritt, Cooper, Mark, Crossa, Jose, de Leon, Natalia, Holland, James, Lewis, Ramsey, McCouch, Susan, Murray, Seth C., Rabbi, Ismail, Ronald, Pamela, Ross-Ibarra, Jeffrey, Weigel, Detlef and Buckler, Edward S. (2023). Genetic modification can improve crop yields — but stop overselling it. Nature, 621 (7979), 470-473. doi: 10.1038/d41586-023-02895-w |
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2023 Other Outputs Crop improvement can accelerate agriculture adaptation to societal demands and climate changeMessina, Carlos D., Borras, Lucas, Tang, Tom and Cooper, Mark (2023). Crop improvement can accelerate agriculture adaptation to societal demands and climate change. doi: 10.1101/2023.09.19.558447 |
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2023 Journal Article Two decades of harnessing standing genetic variation for physiological traits to improve drought tolerance in maizeMessina, Carlos D., Gho, Carla, Hammer, Graeme L., Tang, Tom and Cooper, Mark (2023). Two decades of harnessing standing genetic variation for physiological traits to improve drought tolerance in maize. Journal of Experimental Botany, 74 (16), 4847-4861. doi: 10.1093/jxb/erad231 |
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2023 Other Outputs In Silico Sorghum GxExM Dataset For Prediction Algorithm ComparisonsOwen 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 |
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2023 Conference Publication Random Forest Importance Diagnostics can Capture Quantitative Genetic Properties of Markers for Genomic PredictionTomura, Shunichiro, Powell, Owen and Cooper, Mark (2023). Random Forest Importance Diagnostics can Capture Quantitative Genetic Properties of Markers for Genomic Prediction. International Congress of Genetics, Melbourne, VIC Australia, 16-21 July 2023. figShare. doi: 10.6084/m9.figshare.24211230.v1 |
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2023 Other Outputs Stochastic Simulation of Divergent Selection Experiment on a Gene-Phenotype Network: A Case Study of Shoot Branching in PlantsPowell, Owen and Cooper, Mark (2023). Stochastic Simulation of Divergent Selection Experiment on a Gene-Phenotype Network: A Case Study of Shoot Branching in Plants. figShare. (Dataset) doi: 10.6084/m9.figshare.23590083 |
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2023 Conference Publication GPU can Accelerate the Prediction of Complex PhenotypesTomura, Shunichiro, Powell, Owen and Cooper, Mark (2023). GPU can Accelerate the Prediction of Complex Phenotypes. Australasian Leadership Computing Symposium, Canberra, ACT Australia, 14-16 June 2023. doi: 10.6084/m9.figshare.24484831.v1 |
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2023 Journal Article Inclusive collaboration across plant physiology and genomics: Now is the time!Interdisciplinary Plant Science Consortium and Cooper, Mark (2023). Inclusive collaboration across plant physiology and genomics: Now is the time!. Plant Direct, 7 (5) e493. doi: 10.1002/pld3.493 |
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2023 Book Chapter Incorporating genetics into crop models to identify new phenotypes adapted to climate changeMessina, Carlos D. and Cooper, Mark (2023). Incorporating genetics into crop models to identify new phenotypes adapted to climate change. Modelling climate change impacts on agricultural systems. (pp. 75-104) Cambridge, United Kingdom: Burleigh Dodds Science Publishing. doi: 10.19103/AS.2022.0115.04 |
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2023 Other Outputs Root system growth and function response to soil temperature in maize (Zea mays L.)Clark, Randy, Chamberlain, Dan, Diepenbrock, Christine, Cooper, Mark and Messina, Carlos D. (2023). Root system growth and function response to soil temperature in maize (Zea mays L.). doi: 10.1101/2023.03.15.532822 |
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2023 Journal Article Extending the breeder’s equation to take aim at the target population of environmentsCooper, Mark, Powell, Owen, Gho Brito, Carla, Tang, Tom and Messina, Carlos (2023). Extending the breeder’s equation to take aim at the target population of environments. Frontiers in Plant Science, 14 1129591, 1-10. doi: 10.3389/fpls.2023.1129591 |
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2023 Journal Article Transgene by germplasm interactions can impact transgene evaluationLinares, Julien F., Coles, Nathan D., Mo, Hua, Habben, Jeff E., Humbert, Sabrina, Messina, Carlos, Tang, Tom, Cooper, Mark, Gho, Carla, Carrasco, Ricardo, Carter, Javier, Flounders, Jillian Wicher and Brummer, E Charles (2023). Transgene by germplasm interactions can impact transgene evaluation. Crop Science, 63 (4), 1988-1997. doi: 10.1002/csc2.20939 |
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2023 Conference Publication Hierarchical Gene-Phenotype Maps as a Framework to Predict GxExM InteractionsPowell, Owen, McLean, Greg, Brider, Jason, Technow, Frank, Tang, Tom, Messina, Carlos D., Hammer, Graeme and Cooper, Mark (2023). Hierarchical Gene-Phenotype Maps as a Framework to Predict GxExM Interactions. Quantitative Genetics and Genomics Gordon Research Conference, Ventura, CA, United States, 12-17 February 2023. |
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2023 Journal Article Retrospective study in US commercial sorghum breeding: I. Genetic gain in relation to relative maturityMayor, L., Demarco, P., Lira, S., Fang, Y., Abadie, T., Gambin, B., Hammer, G., Ciampitti, I., Cooper, M. and Messina, C. (2023). Retrospective study in US commercial sorghum breeding: I. Genetic gain in relation to relative maturity. Crop Science, 63 (2), 501-510. doi: 10.1002/csc2.20897 |
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2023 Book Chapter Predicting Genotype × Environment × Management (G × E × M) interactions for the design of crop improvement strategies: integrating breeder, agronomist, and farmer perspectivesCooper, 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 |
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2023 Journal Article Breeding crops for drought-affected environments and improved climate resilienceCooper, Mark and Messina, Carlos D. (2023). Breeding crops for drought-affected environments and improved climate resilience. The Plant Cell, 35 (1), 162-186. doi: 10.1093/plcell/koac321 |
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2022 Other Outputs Extending the breeder’s equation to take aim at the Target Population of EnvironmentsCooper, Mark, Owen Powell, Gho, Carla, Tang, Tom and Messina, Carlos (2022). Extending the breeder’s equation to take aim at the Target Population of Environments. |
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2022 Conference Publication Integrating Hierarchical G2P Maps with Genomic PredictionPowell, Owen, McLean, Greg, Brider, Jason, Technow, Frank, Tang, Tom, Messina, Carlos D., Hammer, Graeme and Cooper, Mark (2022). Integrating Hierarchical G2P Maps with Genomic Prediction. Interdrought VII - The 7th Congress on plant production in water-limited environments, Dakar, Senegal, 1 December 2022. |
