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2018

Journal Article

Modelling strategies for assessing and increasing the effectiveness of new phenotyping techniques in plant breeding

van Eeuwijk, Fred A., Bustos-Korts, Daniela, Millet, Emilie J., Boer, Martin P., Kruijer, Willem, Thompson, Addie, Malosetti, Marcos, Iwata, Hiroyoshi, Quiroz, Roberto, Kuppe, Christian, Muller, Onno, Blazakis, Konstantinos N., Yu, Kang, Tardieu, Francois and Chapman, Scott C. (2018). Modelling strategies for assessing and increasing the effectiveness of new phenotyping techniques in plant breeding. Plant Science, 282, 23-39. doi: 10.1016/j.plantsci.2018.06.018

Modelling strategies for assessing and increasing the effectiveness of new phenotyping techniques in plant breeding

2018

Journal Article

Estimation of plant height using a high throughput phenotyping platform based on unmanned aerial vehicle and self-calibration: Example for sorghum breeding

Hu, Pengcheng, Chapman, Scott C., Wang, Xuemin, Potgieter, Andries, Duan, Tao, Jordan, David, Guo, Yan and Zheng, Bangyou (2018). Estimation of plant height using a high throughput phenotyping platform based on unmanned aerial vehicle and self-calibration: Example for sorghum breeding. European Journal of Agronomy, 95, 24-32. doi: 10.1016/j.eja.2018.02.004

Estimation of plant height using a high throughput phenotyping platform based on unmanned aerial vehicle and self-calibration: Example for sorghum breeding

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

Determining crop growth dynamics in sorghum breeding trials through remote and proximal sensing technologies

Potgieter, Andries B., Watson, James, Eldridge, Mark, Laws, Kenneth, George-Jaeggli, Barbara, Hunt, Colleen, Borrell, Andrew, Mace, Emma, Chapman, Scott C., Jordan, David R. and Hammer, Graeme L. (2018). Determining crop growth dynamics in sorghum breeding trials through remote and proximal sensing technologies. 38th IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Valencia, Spain, Jul 22-27, 2018. NEW YORK: IEEE. doi: 10.1109/IGARSS.2018.8519296

Determining crop growth dynamics in sorghum breeding trials through remote and 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

2018

Conference Publication

Combining crop growth modelling and statistical genetic modelling to evaluate phenotyping strategies

Bustos-Korts, D., Malosetti, M., Boer, M., Chapman, S., Chenu, K. and van Eeuwijk, F. (2018). Combining crop growth modelling and statistical genetic modelling to evaluate phenotyping strategies. 29th International Biometric Conference, Barcelona, Spain, 8-13 July 2018.

Combining crop growth modelling and statistical genetic modelling to evaluate phenotyping strategies

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

Journal Article

Modelling the nitrogen dynamics of maize crops - enhancing the APSIM maize model

Soufizadeh, 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

Modelling the nitrogen dynamics of maize crops - enhancing the APSIM maize model

2018

Conference Publication

Sorghum biomass prediction using UAV-based remote sensing data and crop model simulation

Masjedi, Ali, Zhao, Jieqiong, Thompson, Addie M., Yang, Kai-Wei, Flatt, John E., Crawford, Melba M., Ebert, David S., Tuinstra, Mitchell R., Hammer, Graeme and Chapman, Scott (2018). Sorghum biomass prediction using UAV-based remote sensing data and crop model simulation. 38th IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Valencia Spain, 22-27 July 2018. Piscataway, NJ United States: IEEE. doi: 10.1109/IGARSS.2018.8519034

Sorghum biomass prediction using UAV-based remote sensing data and crop model simulation

2018

Conference Publication

Combining crop growth modelling and statistical genetic modelling to evaluate phenotyping strategies

Bustos-Korts, D., Malosetti, M., Boer, M., Chapman, S., Chenu, K. and van Eeuwijk, F. (2018). Combining crop growth modelling and statistical genetic modelling to evaluate phenotyping strategies. Biometrics Eucarpia, Ghent, Belgium, 3-5 September 2018.

Combining crop growth modelling and statistical genetic modelling to evaluate phenotyping strategies

2017

Journal Article

Projected impact of future climate on water-stress patterns across the Australian wheatbelt

Watson, James, Zheng, Bangyou, Chapman, Scott and Chenu, Karine (2017). Projected impact of future climate on water-stress patterns across the Australian wheatbelt. Journal of Experimental Botany, 68 (21-22), 5907-5921. doi: 10.1093/jxb/erx368

Projected impact of future climate on water-stress patterns across the Australian wheatbelt

2017

Journal Article

Multi-spectral imaging from an unmanned aerial vehicle enables the assessment of seasonal leaf area dynamics of sorghum breeding lines

Potgieter, Andries B., George-Jaeggli, Barbara, Chapman, Scott C., Laws, Kenneth, Cadavid, Luz A. Suarez, Wixted, Jemima, Watson, James, Eldridge, Mark, Jordan, David R. and Hammer, Graeme L. (2017). Multi-spectral imaging from an unmanned aerial vehicle enables the assessment of seasonal leaf area dynamics of sorghum breeding lines. Frontiers in Plant Science, 8 1532. doi: 10.3389/fpls.2017.01532

Multi-spectral imaging from an unmanned aerial vehicle enables the assessment of seasonal leaf area dynamics of sorghum breeding lines

2017

Journal Article

Quantifying high temperature risks and their potential effects on sorghum production in Australia

Singh, Vijaya, Nguyen, Chuc T., McLean, Greg, Chapman, Scott C., Zheng, Bangyou, van Oosterom, Erik J. and Hammer, Graeme L. (2017). Quantifying high temperature risks and their potential effects on sorghum production in Australia. Field Crops Research, 211, 77-88. doi: 10.1016/j.fcr.2017.06.012

Quantifying high temperature risks and their potential effects on sorghum production in Australia

2017

Journal Article

Dynamic monitoring of NDVI in wheat agronomy and breeding trials using an unmanned aerial vehicle

Duan, T., Chapman, S. C., Guo, Y. and Zheng, B. (2017). Dynamic monitoring of NDVI in wheat agronomy and breeding trials using an unmanned aerial vehicle. Field Crops Research, 210, 71-80. doi: 10.1016/j.fcr.2017.05.025

Dynamic monitoring of NDVI in wheat agronomy and breeding trials using an unmanned aerial vehicle

2017

Journal Article

Economic assessment of wheat breeding options for potential improved levels of post head-emergence frost tolerance

Mushtaqa,Shahbaz , Frederiks, Troy M. , An-Vo, Duc-Anh , Christopher, Mandy , Zheng, Bangyou , Chenu, Karine , Chapman, Scott C. , Christopher, Jack T. , Stone, Roger C. and Alam, G.M. Monirul (2017). Economic assessment of wheat breeding options for potential improved levels of post head-emergence frost tolerance. Field Crops Research, 213, 75-88. doi: 10.1016/j.fcr.2017.07.021

Economic assessment of wheat breeding options for potential improved levels of post head-emergence frost tolerance

2017

Journal Article

Contribution of crop models to adaptation in wheat

Chenu, Karine, Porter, John Roy, Martre, Pierre, Basso, Bruno, Chapman, Scott Cameron, Ewert, Frank, Bindi, Marco and Asseng, Senthold (2017). Contribution of crop models to adaptation in wheat. Trends in Plant Science, 22 (6), 472-490. doi: 10.1016/j.tplants.2017.02.003

Contribution of crop models to adaptation in wheat

2017

Journal Article

EasyPCC: benchmark datasets and tools for high-throughput measurement of the plant canopy coverage ratio under field conditions

Guo, Wei, Zheng, Bangyou, Duan, Tao, Fukatsu, Tokihiro, Chapman, Scott and Ninomiya, Seishi (2017). EasyPCC: benchmark datasets and tools for high-throughput measurement of the plant canopy coverage ratio under field conditions. Sensors, 17 (4) 798, 798. doi: 10.3390/s17040798

EasyPCC: benchmark datasets and tools for high-throughput measurement of the plant canopy coverage ratio under field conditions

2017

Journal Article

The case for evidence-based policy to support stress-resilient cropping systems

Gilliham, Matthew, Chapman, Scott, Martin, Lisa, Jose, Sarah and Bastow, Ruth (2017). The case for evidence-based policy to support stress-resilient cropping systems. Food and Energy Security, 6 (1), 5-11. doi: 10.1002/fes3.104

The case for evidence-based policy to support stress-resilient cropping systems

2017

Conference Publication

Canopy temperature: a predictor of sugarcane yield for irrigated and rainfed conditions

Basnayake, Jayampathi, Lakshmanan, Prakash, Jackson, Phillip, Chapman, Scott and Natarajan, Sijesh (2017). Canopy temperature: a predictor of sugarcane yield for irrigated and rainfed conditions. 29th Congress of the International-Society-of-Sugar-Cane-Technologists (ISSCT), Chiang Mai, Thailand, 5-8 December 2016. London, United Kingdom: Informa Agra.

Canopy temperature: a predictor of sugarcane yield for irrigated and rainfed conditions

2017

Conference Publication

High-throughput phenotyping and genotyping of variation in photosynthesis traits for increased crop yields

George-Jaeggli, Barbara, Potgieter, Andries, Chapman, Scott, Laws, Kenneth, Watson, James, Eldridge, Mark, van Oosterom, Erik, Geetika, Geetika, Mace, Emma, Hathorn, Adrian, Hunt, Collen, Borrell, Andrew, von Caemmerer, Susanne, Hammer, Graeme and Jordan, David (2017). High-throughput phenotyping and genotyping of variation in photosynthesis traits for increased crop yields. Chloroplast Metabolism and Photosynthesis Symposium, Neuchâtel, Switzerland, 26-28 July 2017.

High-throughput phenotyping and genotyping of variation in photosynthesis traits for increased crop yields