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2020 Other Outputs Two decades of creating drought tolerant maize and underpinning prediction technologies in the US corn-belt: Review and perspectives on the future of crop designMessina, Carlos D., Cooper, Mark, Hammer, Graeme L., Berning, Dan, Ciampitti, Ignacio, Clark, Randy, Diepenbrock, Christine, Gho, Carla, Jines, Mike, Lee, Travis, McCormick, Ryan, Mihura, Eduardo, Podlich, Dean, Rotundo, Jose, Smalley, Matt, Tang, Tom, Truong, Sandra and van Eeuwijk, Fred (2020). Two decades of creating drought tolerant maize and underpinning prediction technologies in the US corn-belt: Review and perspectives on the future of crop design. doi: 10.1101/2020.10.29.361337 |
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2020 Other Outputs Breeding with an eye on genes for paddocksPowell, Owen and Cooper, Mark (2020, 10 02). Breeding with an eye on genes for paddocks Groundcover |
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2020 Other Outputs Reproductive resilience but not root architecture underpin yield improvement in maize (Zea mays L.)Messina, Carlos, Cooper, Mark, McDonald, Dan, Poffenbarger, Hanna, Clark, Randy, Salinas, Andrea, Fang, Yinan, Gho, Carla, Tang, Tom and Graham, Geoff (2020). Reproductive resilience but not root architecture underpin yield improvement in maize (Zea mays L.). doi: 10.1101/2020.09.30.320937 |
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2020 Journal Article Maize, sorghum, and pearl millet have highly contrasting species strategies to adapt to water stress and climate change-like conditionsChoudhary, 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, 1-14. doi: 10.1016/j.plantsci.2019.110297 |
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2020 Journal Article Towards a multiscale crop modelling framework for climate change adaptation assessmentPeng, 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 |
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2020 Journal Article Crop science: a foundation for advancing predictive agricultureMessina, 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 |
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2020 Journal Article Integrating genetic gain and gap analysis to predict improvements in crop productivityCooper, Mark, Tang, Tom, Gho, Carla, Hart, Tim, Hammer, Graeme and Messina, Carlos (2020). Integrating genetic gain and gap analysis to predict improvements in crop productivity. Crop Science, 60 (2) csc2.20109, 582-604. doi: 10.1002/csc2.20109 |
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2019 Journal Article Revolutionizing agriculture with synthetic biologyWurtzel, Eleanore T., Vickers, Claudia E., Hanson, Andrew D., Millar, A. Harvey, Cooper, Mark, Voss-Fels, Kai P., Nikel, Pablo I. and Erb, Tobias J. (2019). Revolutionizing agriculture with synthetic biology. Nature Plants, 5 (12), 1207-1210. doi: 10.1038/s41477-019-0539-0 |
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2019 Journal Article On the dynamic determinants of reproductive failure under drought in maizeMessina, Carlos D., Hammer, Graeme L., McLean, Greg, Cooper, Mark, Oosterom, Erik J. van, Tardieu, Francois, Chapman, Scott C., Doherty, Alastair and Gho, Carla (2019). On the dynamic determinants of reproductive failure under drought in maize. In Silico Plants, 1 (1), 1-14. doi: 10.1093/insilicoplants/diz003 |
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2019 Journal Article Biological reality and parsimony in crop models—why we need both in crop improvement!Hammer, Graeme, Messina, Charlie, Wu, Alex and Cooper, Mark (2019). Biological reality and parsimony in crop models—why we need both in crop improvement!. In Silico Plants, 1 (1), 1-21. doi: 10.1093/insilicoplants/diz010 |
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2019 Conference Publication Environmental characterization facilitate G × E interaction to highlight the role of stay-green traits for genetic gainAmin, Asad, Christopher, Jack, Ababaei, Behnam, Cooper, Mark, Hayes, Ben, Voss-Fels, Kai, Hickey, Lee and Chenu, Karine (2019). Environmental characterization facilitate G × E interaction to highlight the role of stay-green traits for genetic gain. Translational Photosynthesis Conference: Innovations in Agriculture for Food Security (ASPS 2019), Brisbane, QLD, Australia, 30 June - 3 July 2019. |
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2018 Journal Article Accelerating crop genetic gains with genomic selectionVoss-Fels, Kai Peter, Cooper, Mark and Hayes, Ben John (2018). Accelerating crop genetic gains with genomic selection. Theoretical and Applied Genetics, 132 (3), 669-686. doi: 10.1007/s00122-018-3270-8 |
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2018 Other Outputs Maize hybrid X03H001Brenner, Everton Alen, Coles, Nathan David, Cooper, Mark, Curran, Bill S., Lee, Travis J and Mengistu, Neway Challa (2018). Maize hybrid X03H001. 9968049. |
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2018 Other Outputs Maize Hybrid X00H315Cooper, Mark (2018). Maize Hybrid X00H315. 9888643. |
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2018 Conference Publication Leveraging biological insight and environmental variation to improve phenotypic prediction: integrating crop growth models (CGM) with whole genome prediction (WGP)Messina, C. D., Technow, F., Tang, T., Totir, R., Gho, C. and Cooper, M. (2018). Leveraging biological insight and environmental variation to improve phenotypic prediction: integrating crop growth models (CGM) with whole genome prediction (WGP). International Crop Modelling Symposium on Crop Modelling for Agriculture and Food Security under Global Change (iCropM), Berlin, Germany, 15-17 March 2016. Amsterdam, Netherlands: Elsevier. doi: 10.1016/j.eja.2018.01.007 |
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2018 Journal Article Modelling the nitrogen dynamics of maize crops - enhancing the APSIM maize modelSoufizadeh, S., Munaro, E., McLean, G., Massignam, A., van Oosterom, E. J., Chapman, S. C., Messina, C., Cooper, M. and Hammer, G. L. (2018). Modelling the nitrogen dynamics of maize crops - enhancing the APSIM maize model. European Journal of Agronomy, 100, 118-131. doi: 10.1016/j.eja.2017.12.007 |
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2017 Other Outputs Maize Inbred PH25AGCooper, Mark (2017). Maize Inbred PH25AG. 9788517. |
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2017 Journal Article Grain yield and nitrogen accumulation in maize hybrids released during 1934 to 2013 in the US MidwestDeBruin, Jason L., Schussler, Jeffrey R., Mo, Hua and Cooper, Mark (2017). Grain yield and nitrogen accumulation in maize hybrids released during 1934 to 2013 in the US Midwest. Crop Science, 57 (3), 1431-1446. doi: 10.2135/cropsci2016.08.0704 |
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2016 Other Outputs Maize hybrid X08F124Cooper, M., Lee, T. J., Curran, B. S., Coles, N. D., Mengistu, N. C., Wardyn, B. M., Kilgore-Norquest, L. L. and Barker, T. C. (2016). Maize hybrid X08F124. 9474228. |
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2016 Other Outputs Maize hybrid X08F091Cooper, M., Lee, T. J., Curran, B. S., Coles, N. D., Mengistu, N. C., Wardyn, B. M. and Barker, T. C. (2016). Maize hybrid X08F091. 9445571. |
