Skip to menu Skip to content Skip to footer

2022

Journal Article

Physiological trait networks enhance understanding of crop growth and water use in contrasting environments

Gleason, Sean M., Barnard, Dave M., Green, Timothy R., Mackay, D. Scott, Wang, Diane R., Ainsworth, Elizabeth A., Altenhofen, Jon, Brodribb, Timothy J., Cochard, Hervé, Comas, Louise H., Cooper, Mark, Creek, Danielle, DeJonge, Kendall C., Delzon, Sylvain, Fritschi, Felix B., Hammer, Graeme, Hunter, Cameron, Lombardozzi, Danica, Messina, Carlos D., Ocheltree, Troy, Maxwell Stevens, Bo, Stewart, Jared J., Vadez, Vincent, Wenz, Joshua, Wright, Ian J., Yemoto, Kevin and Zhang, Huihui (2022). Physiological trait networks enhance understanding of crop growth and water use in contrasting environments. Plant, Cell & Environment, 45 (9), 2554-2572. doi: 10.1111/pce.14382

Physiological trait networks enhance understanding of crop growth and water use in contrasting environments

2022

Journal Article

Quantifying the effects of varietal types × management on the spatial variability of sorghum biomass across US environments

Ojeda, 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

Quantifying the effects of varietal types × management on the spatial variability of sorghum biomass across US environments

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

Genetic control of leaf angle in sorghum and its effect on light interception

Zhi, 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

Genetic control of leaf angle in sorghum and its effect on light interception

2021

Journal Article

Detecting sorghum plant and head features from multispectral UAV imagery

Zhao, 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

Detecting sorghum plant and head features from multispectral UAV imagery

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

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

Limiting transpiration rate in high evaporative demand conditions to improve Australian wheat productivity

Collins, 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

Limiting transpiration rate in high evaporative demand conditions to improve Australian wheat productivity

2021

Journal Article

Integrating crop growth models with remote sensing for predicting biomass yield of sorghum

Yang, 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

Integrating crop growth models with remote sensing for predicting biomass yield of sorghum

2021

Journal Article

Evaluating process-based sugarcane models for simulating genotypic and environmental effects observed in an international dataset

Jones, M. R., Singels, A., Chinorumba, S., Poser, C., Christina, M., Shine, J., Annandale, J. and Hammer, G. L. (2021). Evaluating process-based sugarcane models for simulating genotypic and environmental effects observed in an international dataset. Field Crops Research, 260 107983. doi: 10.1016/j.fcr.2020.107983

Evaluating process-based sugarcane models for simulating genotypic and environmental effects observed in an international dataset

2021

Journal Article

Transpiration efficiency of sorghum [sorghum bicolor (L.) moench] in relation to plant type and genotype

Kulathunga, M. R.D.L., van Oosterom, E. J., Hammer, G. L. and Deifel, K. S. (2021). Transpiration efficiency of sorghum [sorghum bicolor (L.) moench] in relation to plant type and genotype. Journal of the National Science Foundation of Sri Lanka, 49 (2), 183-193. doi: 10.4038/jnsfsr.v49i2.9968

Transpiration efficiency of sorghum [sorghum bicolor (L.) moench] in relation to plant type and genotype

2021

Journal Article

Dissecting and modelling the comparative adaptation to water limitation of sorghum and maize: role of transpiration efficiency, transpiration rate and height

van Oosterom, E. J., Kulathunga, M. R. D. L., Deifel, K. S., McLean, G. B., Barrasso, C., Wu, A., Messina, C. and Hammer, G. L. (2021). Dissecting and modelling the comparative adaptation to water limitation of sorghum and maize: role of transpiration efficiency, transpiration rate and height. In Silico Plants, 3 (1) diaa012, 1-12. doi: 10.1093/insilicoplants/diaa012

Dissecting and modelling the comparative adaptation to water limitation of sorghum and maize: role of transpiration efficiency, transpiration rate and height

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

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))

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

Journal Article

Large-scale genome-wide association study reveals that drought-induced lodging in grain sorghum is associated with plant height and traits linked to carbon remobilisation

Wang, Xuemin, Mace, Emma, Tao, Yongfu, Cruickshank, Alan, Hunt, Colleen, Hammer, Graeme and Jordan, David (2020). Large-scale genome-wide association study reveals that drought-induced lodging in grain sorghum is associated with plant height and traits linked to carbon remobilisation. Theoretical and Applied Genetics, 133 (11), 3201-3215. doi: 10.1007/s00122-020-03665-2

Large-scale genome-wide association study reveals that drought-induced lodging in grain sorghum is associated with plant height and traits linked to carbon remobilisation