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2022 Conference Publication Frequency analysis of environment types associated with late-maturity alpha-amylase for Australian wheat under current and future climatesArmstrong, Robert, Hammer, Graeme and Potgieter, Andries (2022). Frequency analysis of environment types associated with late-maturity alpha-amylase for Australian wheat under current and future climates. 20th Australian Agronomy Conference , Toowoomba, QLD Australia, 19-22 September 2022. Australian Society of Agronomy. |
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2022 Journal Article Quantifying the effects of varietal types × management on the spatial variability of sorghum biomass across US environmentsOjeda, Jonathan J., Hammer, Graeme, Yang, Kai‐Wei, Tuinstra, Mitchell R., deVoil, Peter, McLean, Greg, Huber, Isaiah, Volenec, Jeffrey J., Brouder, Sylvie M., Archontoulis, Sotirios and Chapman, Scott C. (2022). Quantifying the effects of varietal types × management on the spatial variability of sorghum biomass across US environments. GCB Bioenergy, 14 (3), 411-433. doi: 10.1111/gcbb.12919 |
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2022 Journal Article Crop improvement for circular bioeconomy systemsMessina, 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 |
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2022 Conference Publication A high-throughput phenotyping pipeline for rapid evaluation of morphological and physiological crop traits across large fieldsDas, Sumanta, Massey-Reed, Sean Reynolds, Mahuika, Jenny, Watson, James, Cordova, Celso, Otto, Loren, Zhao, Yan, Chapman, Scott, George-Jaeggli, Barbara, Jordan, David, Hammer, Graeme L. and Potgieter, Andries B. (2022). A high-throughput phenotyping pipeline for rapid evaluation of morphological and physiological crop traits across large fields. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia, 17-22 July 2022. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers . doi: 10.1109/IGARSS46834.2022.9884530 |
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2022 Conference Publication Crop type prediction utilising a long short-term memory with a self-attention for winter crops in AustraliaNguyen, Dung, Zhao, Yan, Zhang, Yifan, Huynh, Anh Ngoc-Lan, Roosta, Fred, Hammer, Graeme, Chapman, Scott and Potgieter, Andries (2022). Crop type prediction utilising a long short-term memory with a self-attention for winter crops in Australia. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia, 17-22 July 2022. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/IGARSS46834.2022.9883737 |
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2021 Journal Article Genetic control of leaf angle in sorghum and its effect on light interceptionZhi, Xiaoyu, Tao, Yongfu, Jordan, David, Borrell, Andrew, Hunt, Colleen, Cruickshank, Alan, Potgieter, Andries, Wu, Alex, Hammer, Graeme, George-Jaeggli, Barbara and Mace, Emma (2021). Genetic control of leaf angle in sorghum and its effect on light interception. Journal of Experimental Botany, 73 (3) erab467, 801-816. doi: 10.1093/jxb/erab467 |
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2021 Journal Article Detecting sorghum plant and head features from multispectral UAV imageryZhao, Yan, Zheng, Bangyou, Chapman, Scott C., Laws, Kenneth, George-Jaeggli, Barbara, Hammer, Graeme L., Jordan, David R. and Potgieter, Andries B. (2021). Detecting sorghum plant and head features from multispectral UAV imagery. Plant Phenomics, 2021 9874650, 9874650-14. doi: 10.34133/2021/9874650 |
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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 |
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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 |
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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 |
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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 |
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2021 Other Outputs 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. doi: 10.1101/2021.05.27.446033 |
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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 |
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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 |
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2021 Other Outputs Limited transpiration traits and breeding methods in maizeCooper, Mark, Messina, Carlos, Sinclair, Thomas and Hammer, Graeme (2021). Limited transpiration traits and breeding methods in maize. 10954527. |
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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 |
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2021 Journal Article Limiting transpiration rate in high evaporative demand conditions to improve Australian wheat productivityCollins, Brian, Chapman, Scott, Hammer, Graeme and Chenu, Karine (2021). Limiting transpiration rate in high evaporative demand conditions to improve Australian wheat productivity. in silico Plants, 3 (1) diab006, 1-16. doi: 10.1093/insilicoplants/diab006 |
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2021 Journal Article Integrating crop growth models with remote sensing for predicting biomass yield of sorghumYang, Kai-Wei, Chapman, Scott, Carpenter, Neal, Hammer, Graeme, McLean, Greg, Zheng, Bangyou, Chen, Yuhao, Delp, Edward, Masjedi, Ali, Crawford, Melba, Ebert, David, Habib, Ayman, Thompson, Addie, Weil, Clifford and Tuinstra, Mitchell R (2021). Integrating crop growth models with remote sensing for predicting biomass yield of sorghum. In Silico Plants, 3 (1) diab001, 1-19. doi: 10.1093/insilicoplants/diab001 |
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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 |
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2021 Journal Article Corrigendum to ‘Exploring process-level genotypic and environmental effects on sugarcane yield using an international experimental dataset’ [Field Crops Research, 244 (2019) 107622] (Field Crops Research (2019) 244, (S0378429019303053), (10.1016/j.fcr.2019.107622))Jones, M. R., Singels, A., Chinorumba, S., Patton, A., Poser, C., Singh, M., Martiné, J., Christina, M., Shine, J., Annandale, J. and Hammer, G. L. (2021). Corrigendum to ‘Exploring process-level genotypic and environmental effects on sugarcane yield using an international experimental dataset’ [Field Crops Research, 244 (2019) 107622] (Field Crops Research (2019) 244, (S0378429019303053), (10.1016/j.fcr.2019.107622)). Field Crops Research, 260 107986. doi: 10.1016/j.fcr.2020.107986 |
