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2025

Journal Article

Integrating yield gap analysis to capture genotype by environment by management interactions for Australian broadacre sorghum cropping systems

Garba, Ismail I., Fernandez, Javier A., Chen, Qiaomin, Gho, Carla, deVoil, Peter, Cooper, Mark and Chapman, Scott C. (2025). Integrating yield gap analysis to capture genotype by environment by management interactions for Australian broadacre sorghum cropping systems. Field Crops Research, 326 109858, 109858. doi: 10.1016/j.fcr.2025.109858

Integrating yield gap analysis to capture genotype by environment by management interactions for Australian broadacre sorghum cropping systems

2025

Journal Article

Improved Genomic Prediction Performance with Ensembles of Diverse Models

Tomura, Shunichiro, Wilkinson, Melanie J., Cooper, Mark and Powell, Owen (2025). Improved Genomic Prediction Performance with Ensembles of Diverse Models. G3: Genes, Genomes, Genetics jkaf048, 1-15. doi: 10.1093/g3journal/jkaf048

Improved Genomic Prediction Performance with Ensembles of Diverse Models

2025

Journal Article

Transgene effects vary among maize populations with implications for improving quantitative traits

Linares, Julien F., Coles, Nathan D., Mo, Hua, Habben, Jeffrey E., Humbert, Sabrina, Messina, Carlos, Tang, Tom, Cooper, Mark, Gho, Carla, Carrasco, Ricardo, Carter, Javier, Flounders, Jillian Wicher and Brummer, E. Charles (2025). Transgene effects vary among maize populations with implications for improving quantitative traits. Crop Science, 65 (1) e21408. doi: 10.1002/csc2.21408

Transgene effects vary among maize populations with implications for improving quantitative traits

2024

Other Outputs

Improvements in prediction performance of ensemble approaches for genomic prediction in crop breeding

Tomura, Shunichiro, Cooper, Mark and Powell, Owen (2024). Improvements in prediction performance of ensemble approaches for genomic prediction in crop breeding. doi: 10.1101/2024.09.06.611589

Improvements in prediction performance of ensemble approaches for genomic prediction in crop breeding

2024

Conference Publication

Prediction of non-additive genetic effects with hierarchical genomic prediction models

Powell, Owen, McLean, Greg, Brider, Jason, Saddigh, Joe, Technow, Frank, Tang, Tom, Totir, Radu, Messina, Carlos D., Hammer, Graeme and Cooper, Mark (2024). Prediction of non-additive genetic effects with hierarchical genomic prediction models. International Conference of Quantitative Genetics (ICQG) 7, Vienna, Austria, 22-26 July 2024. doi: 10.6084/m9.figshare.26425735.v1

Prediction of non-additive genetic effects with hierarchical genomic prediction models

2024

Other Outputs

Molecular Breeding Methods

Cooper, Mark, Messina, Carlos, Technow, Frank and Totir, Radu (2024). Molecular Breeding Methods. 11985930.

Molecular Breeding Methods

2024

Journal Article

Contrasting leaf‐scale photosynthetic low‐light response and its temperature dependency are key to differences in crop‐scale radiation use efficiency

Wu, Alex, Truong, Sandra Huynh, McCormick, Ryan, van Oosterom, Erik J., Messina, Carlos D., Cooper, Mark and Hammer, Graeme L. (2024). Contrasting leaf‐scale photosynthetic low‐light response and its temperature dependency are key to differences in crop‐scale radiation use efficiency. New Phytologist, 241 (6), 2435-2447. doi: 10.1111/nph.19537

Contrasting leaf‐scale photosynthetic low‐light response and its temperature dependency are key to differences in crop‐scale radiation use efficiency

2024

Journal Article

Methods for evaluating effects of transgenes for quantitative traits

Linares, Julien F., Coles, Nathan D., Mo, Hua, Habben, Jeffrey E., Humbert, Sabrina, Messina, Carlos, Tang, Tom, Cooper, Mark, Gho, Carla, Carrasco, Ricardo, Carter, Javier, Flounders, Jillian Wicher and Brummer, E. Charles (2024). Methods for evaluating effects of transgenes for quantitative traits. Crop Science, 64 (1), 141-148. doi: 10.1002/csc2.21141

Methods for evaluating effects of transgenes for quantitative traits

2024

Book Chapter

Transforming food production with AI

Cooper, 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).

Transforming food production with AI

2023

Conference Publication

APSIM-WGP: a software platform to predict crop GxExM interactions

Powell, 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.

APSIM-WGP: a software platform to predict crop GxExM interactions

2023

Journal Article

Genetic modification can improve crop yields — but stop overselling it

Khaipho-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

Genetic modification can improve crop yields — but stop overselling it

2023

Other Outputs

Crop improvement can accelerate agriculture adaptation to societal demands and climate change

Messina, Carlos D., Borras, Lucas, Tang, Tom and Cooper, Mark (2023). Crop improvement can accelerate agriculture adaptation to societal demands and climate change.

Crop improvement can accelerate agriculture adaptation to societal demands and climate change

2023

Journal Article

Two decades of harnessing standing genetic variation for physiological traits to improve drought tolerance in maize

Messina, 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

Two decades of harnessing standing genetic variation for physiological traits to improve drought tolerance in maize

2023

Other Outputs

In Silico Sorghum GxExM Dataset For Prediction Algorithm Comparisons

Owen 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

In Silico Sorghum GxExM Dataset For Prediction Algorithm Comparisons

2023

Conference Publication

Random Forest Importance Diagnostics can Capture Quantitative Genetic Properties of Markers for Genomic Prediction

Tomura, 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

Random Forest Importance Diagnostics can Capture Quantitative Genetic Properties of Markers for Genomic Prediction

2023

Other Outputs

Stochastic Simulation of Divergent Selection Experiment on a Gene-Phenotype Network: A Case Study of Shoot Branching in Plants

Powell, 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

Stochastic Simulation of Divergent Selection Experiment on a Gene-Phenotype Network: A Case Study of Shoot Branching in Plants

2023

Conference Publication

GPU can Accelerate the Prediction of Complex Phenotypes

Tomura, 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

GPU can Accelerate the Prediction of Complex Phenotypes

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

Inclusive collaboration across plant physiology and genomics: Now is the time!

2023

Book Chapter

Incorporating genetics into crop models to identify new phenotypes adapted to climate change

Messina, 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

Incorporating genetics into crop models to identify new phenotypes adapted to climate change

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.).

Root system growth and function response to soil temperature in maize (Zea mays L.)