Skip to menu Skip to content Skip to footer

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

2019

Conference Publication

Integrating crop modelling, physiology, genetics and breeding to aid crop improvement for changing environments in the Australian wheatbelt

Chenu, Karine, Fletcher, Andrew, Ababaei, Behnam, Christopher, Jack, Kelly, Alison, Hickey, Lee, Van Oosterom, Erik and Hammer, Graeme (2019). Integrating crop modelling, physiology, genetics and breeding to aid crop improvement for changing environments in the Australian wheatbelt. International Tropical Agriculture Conference (TROPAG 2019), Brisbane, Australia, 11–13 November 2019. Basel, Switzerland: MDPI AG. doi: 10.3390/proceedings2019036004

Integrating crop modelling, physiology, genetics and breeding to aid crop improvement for changing environments in the Australian wheatbelt

2019

Conference Publication

Determining of targeted crop characteristics utilising sensing technologies to enhance selection of higher yielding varieties in sorghum breeding trials

Potgieter, Andries, Laws, Kenneth, George-Jaeggli, Barbara, Hunt, Colleen, Guo, Wei, Watson, James, Reynolds Massey-Reed, Sean, Chapman, Scott, Hammer, Graeme and Jordan, David (2019). Determining of targeted crop characteristics utilising sensing technologies to enhance selection of higher yielding varieties in sorghum breeding trials. Australian Summer Grains Conference, Gold Coast, QLD, Australia, 8-10 July 2019.

Determining of targeted crop characteristics utilising sensing technologies to enhance selection of higher yielding varieties in sorghum breeding trials

2019

Conference Publication

Drought adaptation in sorghum: scaling-up from gene to farmer's field

Borrell, Andrew, George-Jaeggli, Barbara, van Oosterom, Erik, Hammer, Graeme, Godwin, Ian, Liu, G., Wong, Albert, Hunt, Colleen and Jordan, David (2019). Drought adaptation in sorghum: scaling-up from gene to farmer's field. Australian Summer Grains Conference, Gold Coast, QLD, Australia, 8-10 July 2019.

Drought adaptation in sorghum: scaling-up from gene to farmer's field

2019

Conference Publication

Integrating crop modelling, physiology, genetics and breeding to aid crop improvement for changing environments

Chenu, Karine, Fletcher, Andrew, Ababaei, Behnam, Christopher, Jack, Kelly, A., Hickey, Lee, Van Oosterom, Erik and Hammer, Graeme (2019). Integrating crop modelling, physiology, genetics and breeding to aid crop improvement for changing environments. International Tropical Agriculture Conference (TropAg2019), Brisbane, QLD Australia, 11-13 November 2019.

Integrating crop modelling, physiology, genetics and breeding to aid crop improvement for changing environments

2019

Conference Publication

High-throughput phenotyping of canopy radiation use efficiency and its component traits

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 of canopy radiation use efficiency and its component traits. 6th International Plant Phenotyping Symposium, Nanjing, China, 22-26 October 2019.

High-throughput phenotyping of canopy radiation use efficiency and its component traits

2019

Conference Publication

Seeing canopy photosynthesis through the eyes of a Gecko

George-Jaeggli, Barbara, Zhi, Xiaoyue, Wu, Alex, Potgieter, Andries, Reynolds Massey-Reed, Sean, Watson, James, Hunt, Colleen, Lamprecht, Marnie, Chapman, Scott, Borrell, Andrew, Jordan, David and Hammer, Graeme (2019). Seeing canopy photosynthesis through the eyes of a Gecko. Innovations in Agriculture for Food Security, Brisbane, QLD Australia, 30 June - 3 July 2019.

Seeing canopy photosynthesis through the eyes of a Gecko

2018

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 L. and Jordan, David R. (2018). The use of hyperspectral proximal sensing for phenotyping of plant breeding trials. Fundamentals, sensor systems, spectral libraries, and data mining for vegetation. (pp. 127-147) Boca Raton, FL, United States: CRC Press. doi: 10.1201/9781315164151-5

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

2018

Journal Article

Integrating modelling and phenotyping approaches to identify and screen complex traits : transpiration efficiency in cereals

Chenu, K., van Oosterom, E. J., McLean, G., Deifel, K. S., Fletcher, A., Geetika, G., Tirfessa, A., Mace, E. S., Jordan, D. R., Sulman, R. and Hammer, G. L. (2018). Integrating modelling and phenotyping approaches to identify and screen complex traits : transpiration efficiency in cereals. Journal of Experimental Botany, 69 (13), 3181-3194. doi: 10.1093/jxb/ery059

Integrating modelling and phenotyping approaches to identify and screen complex traits : transpiration efficiency in cereals

2018

Book Chapter

Visible, near infrared, and thermal spectral radiance on-board UAVs for high-throughput phenotyping of plant breeding trials

Chapman, Scott C., Zheng, Bangyou, Potgieter, Andries B., Guo, Wei, Baret, Frederic, Liu, Shouyang, Madec, Simon, Solan, Benoit, George-Jaeggli, Barbara, Hammer, Graeme L. and Jordan, David R. (2018). Visible, near infrared, and thermal spectral radiance on-board UAVs for high-throughput phenotyping of plant breeding trials. Biophysical and biochemical characterization and plant species studies. (pp. 275-299) edited by Prasad S. Thenkabail, John G. Lyon and Alfredo Huete. Boca Raton, FL, United States: CRC Press. doi: 10.1201/9780429431180-10

Visible, near infrared, and thermal spectral radiance on-board UAVs for high-throughput phenotyping of plant breeding trials

2018

Conference Publication

Field phenotyping of sorghum breeding trials through proximal sensing technologies

Potgieter, Andries, Watson, James, Eldridge, Mark, Laws, Kenneth, George-Jaeggli, Barbara, Hunt, Colleen, Chapman, Scott, Jordan, David and Hammer, Graeme (2018). Field phenotyping of sorghum breeding trials through proximal sensing technologies. Sorghum in the 21st Century, Cape Town, South Africa, 9-12 April 2018.

Field phenotyping of sorghum breeding trials through proximal sensing technologies

2018

Conference Publication

Trial results - Tactical agronomy for sorghum and maize and agronomy for high yielding sorghum and wheat in the northern region

George-Jaeggli, Barbara, Potgieter, Andries, James, Watson, Chapman, Scott, Zheng, Bangyou, Eldridge, Mark, Laws, Kenneth, Mace, Emma, Hunt, Colleen, Hathorn, Adrian, Borrell, Andrew, Hammer, Graeme and Jordan, David (2018). Trial results - Tactical agronomy for sorghum and maize and agronomy for high yielding sorghum and wheat in the northern region. 2nd Asia-Pacific Plant Phenotyping Conference, Nanjing, China, 23- 25 March 2018.

Trial results - Tactical agronomy for sorghum and maize and agronomy for high yielding sorghum and wheat in the northern region