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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

2020

Journal Article

Integrating genetic gain and gap analysis to predict improvements in crop productivity

Cooper, 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

Integrating genetic gain and gap analysis to predict improvements in crop productivity

2020

Journal Article

Designing crops for adaptation to the drought and high-temperature risks anticipated in future climates

Hammer, Graeme. L., McLean, Greg, van Oosterom, Erik, Chapman, Scott, Zheng, Bangyou, Wu, Alex, Doherty, Alastair and Jordan, David (2020). Designing crops for adaptation to the drought and high-temperature risks anticipated in future climates. Crop Science, 60 (2), 605-621. doi: 10.1002/csc2.20110

Designing crops for adaptation to the drought and high-temperature risks anticipated in future climates

2020

Conference Publication

APSIM platform for modelling and simulation of agricultural systems: overview, examples and applications

Hammer, G., Chapman, S., Chenu, K. and McLean, G. (2020). APSIM platform for modelling and simulation of agricultural systems: overview, examples and applications. CGIAR Webinar - Platform for Big Data in Agriculture, Virtual, 6 February 2020.

APSIM platform for modelling and simulation of agricultural systems: overview, examples and applications

2020

Journal Article

The impacts of flowering time and tillering on grain yield of sorghum hybrids across diverse environments

Wang, Xuemin, Hunt, Colleen, Cruickshank, Alan, Mace, Emma, Hammer, Graeme and Jordan, David (2020). The impacts of flowering time and tillering on grain yield of sorghum hybrids across diverse environments. Agronomy, 10 (1) 35, 135. doi: 10.3390/agronomy10010135

The impacts of flowering time and tillering on grain yield of sorghum hybrids across diverse environments

2020

Conference Publication

Quantifying drought tolerant crop traits using sensing technologies to enhance selection in sorghum breeding trials

Potgieter, A.B., Laws, Kenneth, George-Jaeggli, Barbara, Hunt, Colleen, Reynolds Massey-Reed, Sean, Lamprecht, Marnie, Liedtke, Jana D., Zhao, Yan, Chapman, Scott, Borrell, Andrew K., Mace, Emma S., Hammer, Graeme L. and Jordan, David R. (2020). Quantifying drought tolerant crop traits using sensing technologies to enhance selection in sorghum breeding trials. Interdrought 2020, Mexico City, Mexico, 9-13 March 2020.

Quantifying drought tolerant crop traits using sensing technologies to enhance selection in sorghum breeding trials

2020

Journal Article

Are crop and detailed physiological models equally ‘mechanistic’ for predicting the genetic variability of whole-plant behaviour? The nexus between mechanisms and adaptive strategies

Tardieu, F., Granato, I. S. C., Van Oosterom, E. J., Parent, B. and Hammer, G. L. (2020). Are crop and detailed physiological models equally ‘mechanistic’ for predicting the genetic variability of whole-plant behaviour? The nexus between mechanisms and adaptive strategies. In Silico Plants, 2 (1). doi: 10.1093/insilicoplants/diaa011

Are crop and detailed physiological models equally ‘mechanistic’ for predicting the genetic variability of whole-plant behaviour? The nexus between mechanisms and adaptive strategies

2020

Book Chapter

Physiology of growth, development and yield

Borrell, A., van Oosterom, E., George-Jaeggli, B., Vadez, V., Singh, V. and Hammer, G. (2020). Physiology of growth, development and yield. Sorghum in the 21st century: food – fodder – feed – fuel for a rapidly changing world. (pp. 127-155) edited by Vilas A. Tonapi, Harvinder Singh Talwar, Ashok Kumar Are, B. Venkatesh Bhat, Ch. Ravinder Reddy and Timothy J. Dalton. Singapore, Singapore: Springer. doi: 10.1007/978-981-15-8249-3_6

Physiology of growth, development and yield

2019

Conference Publication

Genotypic variation in biomass produced is linked to differences in radiation acquisition in mungbean

Geetika, Geetika, Rachaputi, Rachaputi C. Nageswara, Collins, Marisa, Singh, Vijaya, Wenham, Kylie and Hammer, Graeme (2019). Genotypic variation in biomass produced is linked to differences in radiation acquisition in mungbean. Third International Tropical Agriculture Conference (TROPAG 2019), Brisbane, QLD, Australia, 11–13 November 2019. Basel, Switzerland: MDPI AG. doi: 10.3390/proceedings2019036021

Genotypic variation in biomass produced is linked to differences in radiation acquisition in mungbean

2019

Journal Article

An integrated framework for predicting the risk of experiencing temperature conditions that may trigger late-maturity alpha-amylase in wheat across Australia

Armstrong, Robert N., Potgieter, Andries B., Mares, Daryl J., Mrva, Kolumbina, Brider, Jason and Hammer, Graeme L. (2019). An integrated framework for predicting the risk of experiencing temperature conditions that may trigger late-maturity alpha-amylase in wheat across Australia. Crop and Pasture Science, 71 (1), 1-11. doi: 10.1071/cp19005

An integrated framework for predicting the risk of experiencing temperature conditions that may trigger late-maturity alpha-amylase in wheat across Australia

2019

Journal Article

Exploring process-level genotypic and environmental effects on sugarcane yield using an international experimental dataset

Jones, M. R., Singels, A., Chinorumba, S., Patton, A., Poser, C., Singh, M., Martiné, J. F., Christina, M., Shine, J., Annandale, J. and Hammer, G. (2019). Exploring process-level genotypic and environmental effects on sugarcane yield using an international experimental dataset. Field Crops Research, 244 107622, 107622. doi: 10.1016/j.fcr.2019.107622

Exploring process-level genotypic and environmental effects on sugarcane yield using an international experimental dataset

2019

Journal Article

Genotypic variation in whole-plant transpiration efficiency in sorghum only partly aligns with variation in stomatal conductance

Geetika, Geetika, van Oosterom, Erik J, George-Jaeggli, Barbara, Mortlock, Miranda Y, Deifel, Kurt S, McLean, Greg and Hammer, Graeme L. (2019). Genotypic variation in whole-plant transpiration efficiency in sorghum only partly aligns with variation in stomatal conductance. Functional Plant Biology, 46 (12), 1072-1089. doi: 10.1071/FP18177

Genotypic variation in whole-plant transpiration efficiency in sorghum only partly aligns with variation in stomatal conductance

2019

Journal Article

Quantifying impacts of enhancing photosynthesis on crop yield

Wu, Alex, Hammer, Graeme L., Doherty, Al, von Caemmerer, Susanne and Farquhar, Graham D. (2019). Quantifying impacts of enhancing photosynthesis on crop yield. Nature Plants, 5 (4), 380-388. doi: 10.1038/s41477-019-0398-8

Quantifying impacts of enhancing photosynthesis on crop yield

2019

Journal Article

Water use efficiency as a constraint and target for improving the resilience and productivity of C3 and C4 crops

Leakey, Andrew D. B., Ferguson, John N., Pignon, Charles P., Wu, Alex, Jin, Zhenong, Hammer, Graeme L. and Lobell, David B. (2019). Water use efficiency as a constraint and target for improving the resilience and productivity of C3 and C4 crops. Annual Review of Plant Biology, 70 (1), 781-808. doi: 10.1146/annurev-arplant-042817-040305

Water use efficiency as a constraint and target for improving the resilience and productivity of C3 and C4 crops

2019

Book Chapter

The use of hyperspectral proximal sensing for phenotyping of plant breeding trials

Potgieter, Andries B., Watson, James, George-Jaeggli, Barbara, McLean, Gregory, Eldridge, Mark, Chapman, Scott C., Laws, Kenneth, Christopher, Jack, Chenu, Karine, Borrell, Andrew, Hammer, Graeme and Jordan, David R. (2019). The use of hyperspectral proximal sensing for phenotyping of plant breeding trials. Fundamentals, sensor systems, spectral libraries, and data mining for vegetation. (pp. 127-148) edited by Prasad S. Thenkabail, John G. Lyon and Alfredo Huete. Boca Raton, FL United States: CRC Press. doi: 10.1201/9781315164151-5

The use of hyperspectral proximal sensing for phenotyping of plant breeding trials

2019

Conference Publication

Predicting lodging using sensing technologies to enhance selection in sorghum breeding trials

Potgieter, Andries, Laws, Kenneth, George-Jaeggli, Barbara, Hunt, Colleen, Guo, Wei, Reynolds Massey-Reed, Sean, Chapman, Scott, Borrell, Andrew, Mace, Emma, Hammer, Graeme and Jordan, David (2019). Predicting lodging using sensing technologies to enhance selection in sorghum breeding trials. 6th International Plant Phenotyping Symposium, Nanjing, China, 22-26 October 2019.

Predicting lodging using sensing technologies to enhance selection in sorghum breeding trials

2019

Conference Publication

High-throughput phenotyping tools to test whether leaf-level photosynthesis traits are measurable at the crop level

George-Jaeggli, Barbara, Potgieter, Andries, Zhi, Xiaoyu, Reynolds Massey-Reed, Sean, Watson, James, Lamprecht, Marnie, Chapman, Scott, Laws, Kenneth, Hunt, Colleen, Borrell, Andrew, Jordan, David, van Oosterom, Erik, Wu, Alex and Hammer, Graeme (2019). High-throughput phenotyping tools to test whether leaf-level photosynthesis traits are measurable at the crop level. TropAg 2019, Brisbane, QLD Australia, 10-13 November 2019.

High-throughput phenotyping tools to test whether leaf-level photosynthesis traits are measurable at the crop level

2019

Journal Article

On the dynamic determinants of reproductive failure under drought in maize

Messina, 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

On the dynamic determinants of reproductive failure under drought in maize

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

Biological reality and parsimony in crop models—why we need both in crop improvement!

2019

Conference Publication

Canopy and root plasticity for drought adaptation in cereals

Borrell, Andrew, George-Jaeggli, Barbara, van Oosterom, Erik, Hammer, Graeme, Mace, Emma, Godwin, Ian, Liu, G., Wong, Albert, Temesgen, M., Kassahun, B., Christopher, Jack, Hickey, Lee, Richard, Cecile, Robinson, Hannah and Jordan, David (2019). Canopy and root plasticity for drought adaptation in cereals. Climate Change Linked Stress Tolerance in Plants (M4) (Keystone Symposia), Herrenhausen Palace, Hannover, Germany, 13-16 May 2019.

Canopy and root plasticity for drought adaptation in cereals