|
2021 Journal Article Predicting phenotypes from genetic, environment, management, and historical data using CNNsWashburn, 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 |
|
2021 Journal Article Plant production in water-limited environmentsHammer, 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 |
|
2021 Journal Article Perspectives on applications of hierarchical gene-to-phenotype (G2P) maps to capture non-stationary effects of alleles in genomic predictionPowell, 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 |
|
2021 Journal Article Addressing research bottlenecks to crop productivityReynolds, 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 |
|
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 |
|
2021 Journal Article In pursuit of a better world: crop improvement and the CGIARKholova, 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 |
|
2021 Journal Article Back to the future: implications of genetic complexity for the structure of hybrid breeding programsTechnow, 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 |
|
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 productivityCooper, 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 |
|
2021 Journal Article Strategies and considerations for implementing genomic selection to improve traits with additive and non-additive genetic architectures in sugarcane breedingVoss-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 |
|
2021 Journal Article Modelling selection response in plant breeding programs using crop models as mechanistic gene-to-phenotype (CGM-G2P) multi-trait link functionsCooper, 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 |
|
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 |
|
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 |
|
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 |
|
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 |
|
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 |
|
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 |
|
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 |
|
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 |
|
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 |
|
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 |
