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2022

Journal Article

Can we harness digital technologies and physiology to hasten genetic gain in United States maize breeding?

Diepenbrock, Christine, Tang, Tom, Jines, Michael, Technow, Frank, Lira, Sara, Podlich, Dean, Cooper, Mark and Messina, Carlos (2022). Can we harness digital technologies and physiology to hasten genetic gain in United States maize breeding?. Plant Physiology, 188 (2), 1141-1157. doi: 10.1093/plphys/kiab527

Can we harness digital technologies and physiology to hasten genetic gain in United States maize breeding?

2022

Conference Publication

The pursuit of excellence; some reflections after 50+ years of plant breeding at The University of Queensland (9771)

Lambrides, Christopher , Basford, Kaye , DeLacy, Ian , Cooper, Mark , Hardner, Craig , Godwin, Ian , Dieters, Mark and Arief, Vivi (2022). The pursuit of excellence; some reflections after 50+ years of plant breeding at The University of Queensland (9771). Australasian Plant Breeding Conference, Gold Coast, QLD, Australia, 9-11 May 2022.

The pursuit of excellence; some reflections after 50+ years of plant breeding at The University of Queensland (9771)

2022

Journal Article

Crop improvement for circular bioeconomy systems

Messina, Carlos D., van Eeuwijk, Fred, Tang, Tom, Truong, Sandra K., McCormick, Ryan F., Technow, Frank, Powell, Owen, Mayor, Laura, Gutterson, Neal, Jones, James W., Hammer, Graeme and Cooper, Mark (2022). Crop improvement for circular bioeconomy systems. Journal of the ASABE, 65 (3), 491-504. doi: 10.13031/ja.14912

Crop improvement for circular bioeconomy systems

2021

Journal Article

Can we harness “enviromics” to accelerate crop improvement by integrating breeding and agronomy?

Cooper, Mark and Messina, Carlos D. (2021). Can we harness “enviromics” to accelerate crop improvement by integrating breeding and agronomy?. Frontiers in Plant Science, 12 735143, 735143. doi: 10.3389/fpls.2021.735143

Can we harness “enviromics” to accelerate crop improvement by integrating breeding and agronomy?

2021

Journal Article

Predicting phenotypes from genetic, environment, management, and historical data using CNNs

Washburn, Jacob D., Cimen, Emre, Ramstein, Guillaume, Reeves, Timothy, O'Briant, Patrick, McLean, Greg, Cooper, Mark, Hammer, Graeme and Buckler, Edward S. (2021). Predicting phenotypes from genetic, environment, management, and historical data using CNNs. Theoretical and Applied Genetics, 134 (12), 3997-4011. doi: 10.1007/s00122-021-03943-7

Predicting phenotypes from genetic, environment, management, and historical data using CNNs

2021

Journal Article

Plant production in water-limited environments

Hammer, Graeme L., Cooper, Mark and Reynolds, Matthew P. (2021). Plant production in water-limited environments. Journal of Experimental Botany, 72 (14), 5097-5101. doi: 10.1093/jxb/erab273

Plant production in water-limited environments

2021

Journal Article

Perspectives on applications of hierarchical gene-to-phenotype (G2P) maps to capture non-stationary effects of alleles in genomic prediction

Powell, Owen M., Voss-Fels, Kai P., Jordan, David R., Hammer, Graeme and Cooper, Mark (2021). Perspectives on applications of hierarchical gene-to-phenotype (G2P) maps to capture non-stationary effects of alleles in genomic prediction. Frontiers in Plant Science, 12 663565, 663565. doi: 10.3389/fpls.2021.663565/full

Perspectives on applications of hierarchical gene-to-phenotype (G2P) maps to capture non-stationary effects of alleles in genomic prediction

2021

Journal Article

Addressing research bottlenecks to crop productivity

Reynolds, Matthew, Atkin, Owen K., Bennett, Malcolm, Cooper, Mark, Dodd, Ian C., Foulkes, M. John, Frohberg, Claus, Hammer, Graeme, Henderson, Ian R., Huang, Bingru, Korzun, Viktor, McCouch, Susan R., Messina, Carlos D., Pogson, Barry J., Slafer, Gustavo A., Taylor, Nicolas L. and Wittich, Peter E. (2021). Addressing research bottlenecks to crop productivity. Trends in Plant Science, 26 (6), 607-630. doi: 10.1016/j.tplants.2021.03.011

Addressing research bottlenecks to crop productivity

2021

Journal Article

Reproductive resilience but not root architecture underpins yield improvement under drought in maize (Zea mays L.)

Messina, Carlos, McDonald, Dan, Poffenbarger, Hanna, Clark, Randy, Salinas, Andrea, Fang, Yinan, Gho, Carla, Tang, Tom, Graham, Geoff, Hammer, Graeme and Cooper, Mark (2021). Reproductive resilience but not root architecture underpins yield improvement under drought in maize (Zea mays L.). Journal of Experimental Botany, 72 (14), 5235-5245. doi: 10.1093/jxb/erab231

Reproductive resilience but not root architecture underpins yield improvement under drought in maize (Zea mays L.)

2021

Journal Article

In pursuit of a better world: crop improvement and the CGIAR

Kholova, J, Urban, M O, Cock, J, Arcos, J, Arnaud, E, Aytekin, D, Azevedo, V, Barnes, A P, Ceccarelli, S, Chavarriaga, P, Cobb, J, Connor, D, Cooper, M, Craufurd, P, Debouck, D, Fungo, R, Grando, S, Hammer, G L, Jara, C, Messina, C, Mosquera, G, Nchanji, E, Ng, E, Prager, S, Sankaran, S, Selvaraj, M, Tardieu, F, Thornton, P, Valdes, S ... Xu, Yunbi (2021). In pursuit of a better world: crop improvement and the CGIAR. Journal of Experimental Botany, 72 (14), 5158-5179. doi: 10.1093/jxb/erab226

In pursuit of a better world: crop improvement and the CGIAR

2021

Journal Article

Back to the future: implications of genetic complexity for the structure of hybrid breeding programs

Technow, Frank, Podlich, Dean and Cooper, Mark (2021). Back to the future: implications of genetic complexity for the structure of hybrid breeding programs. G3: Genes, Genomes, Genetics, 11 (7) jkab153. doi: 10.1093/g3journal/jkab153

Back to the future: implications of genetic complexity for the structure of hybrid breeding programs

2021

Other Outputs

Limited transpiration traits and breeding methods in maize

Cooper, Mark, Messina, Carlos, Sinclair, Thomas and Hammer, Graeme (2021). Limited transpiration traits and breeding methods in maize. 10954527.

Limited transpiration traits and breeding methods in maize

2021

Journal Article

Tackling G × E × M interactions to close on-farm yield-gaps: creating novel pathways for crop improvement by predicting contributions of genetics and management to crop productivity

Cooper, Mark, Voss-Fels, Kai P., Messina, Carlos D., Tang, Tom and Hammer, Graeme L. (2021). Tackling G × E × M interactions to close on-farm yield-gaps: creating novel pathways for crop improvement by predicting contributions of genetics and management to crop productivity. Theoretical and Applied Genetics, 134 (6), 1625-1644. doi: 10.1007/s00122-021-03812-3

Tackling G × E × M interactions to close on-farm yield-gaps: creating novel pathways for crop improvement by predicting contributions of genetics and management to crop productivity

2021

Journal Article

Strategies and considerations for implementing genomic selection to improve traits with additive and non-additive genetic architectures in sugarcane breeding

Voss-Fels, Kai P., Wei, Xianming, Ross, Elizabeth M., Frisch, Matthias, Aitken, Karen S., Cooper, Mark and Hayes, Ben J. (2021). Strategies and considerations for implementing genomic selection to improve traits with additive and non-additive genetic architectures in sugarcane breeding. Theoretical and Applied Genetics, 134 (5), 1493-1511. doi: 10.1007/s00122-021-03785-3

Strategies and considerations for implementing genomic selection to improve traits with additive and non-additive genetic architectures in sugarcane breeding

2021

Journal Article

Modelling selection response in plant breeding programs using crop models as mechanistic gene-to-phenotype (CGM-G2P) multi-trait link functions

Cooper, M., Powell, O., Voss-Fels, K. P., Messina, C. D., Gho, C., Podlich, D. W., Technow, F., Chapman, S. C., Beveridge, C. A., Ortiz-Barrientos, D. and Hammer, G. L. (2021). Modelling selection response in plant breeding programs using crop models as mechanistic gene-to-phenotype (CGM-G2P) multi-trait link functions. in silico Plants, 3 (1) diaa016, 1-21. doi: 10.1093/insilicoplants/diaa016

Modelling selection response in plant breeding programs using crop models as mechanistic gene-to-phenotype (CGM-G2P) multi-trait link functions

2020

Conference Publication

The impact of physiological non-additivity on variance components for complex traits

Voss-Fels, Kai, Powell, Owen, Jordan, David, Hammer, Graeme, Barbier, Francois, Werner, Christian, Hayes, Ben, Beveridge, Christine and Cooper, Mark (2020). The impact of physiological non-additivity on variance components for complex traits. The 6th International Conference on Quantitative Genetics, Brisbane, QLD Australia, 3-13 November 2020.

The impact of physiological non-additivity on variance components for complex traits

2020

Other Outputs

Breeding with an eye on genes for paddocks

Powell, Owen and Cooper, Mark (2020, 10 02). Breeding with an eye on genes for paddocks Groundcover

Breeding with an eye on genes for paddocks

2020

Journal Article

Maize, sorghum, and pearl millet have highly contrasting species strategies to adapt to water stress and climate change-like conditions

Choudhary, Sunita , Guha, Anirban , Kholova, Jana , Pandravada, Anand , Messina, Charlie D. , Cooper, Mark and Vadez, Vincent (2020). Maize, sorghum, and pearl millet have highly contrasting species strategies to adapt to water stress and climate change-like conditions. Plant Science, 295 110297, 110297. doi: 10.1016/j.plantsci.2019.110297

Maize, sorghum, and pearl millet have highly contrasting species strategies to adapt to water stress and climate change-like conditions

2020

Journal Article

Towards a multiscale crop modelling framework for climate change adaptation assessment

Peng, Bin, Guan, Kaiyu, Tang, Jinyun, Ainsworth, Elizabeth A., Asseng, Senthold, Bernacchi, Carl J., Cooper, Mark, Delucia, Evan H., Elliott, Joshua W., Ewert, Frank, Grant, Robert F., Gustafson, David I, Hammer, Graeme L., Jin, Zhenong, Jones, James W., Kimm, Hyungsuk, Lawrence, David M., Li, Yan, Lombardozzi, Danica L., Marshall-Colon, Amy, Messina, Carlos D., Ort, Donald R., Schnable, James C., Vallejos, C. Eduardo, Wu, Alex, Yin, Xinyou and Zhou, Wang (2020). Towards a multiscale crop modelling framework for climate change adaptation assessment. Nature Plants, 6 (4), 338-348. doi: 10.1038/s41477-020-0625-3

Towards a multiscale crop modelling framework for climate change adaptation assessment

2020

Journal Article

Crop science: a foundation for advancing predictive agriculture

Messina, Carlos D., Cooper, Mark, Reynolds, Matthew and Hammer, Graeme L. (2020). Crop science: a foundation for advancing predictive agriculture. Crop Science, 60 (2) csc2.20116, 544-546. doi: 10.1002/csc2.20116

Crop science: a foundation for advancing predictive agriculture