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2016 Journal Article A direct comparison of remote sensing approaches for high-throughput phenotyping in plant breedingTattaris, Maria, Reynolds, Matthew P. and Chapman, Scott C. (2016). A direct comparison of remote sensing approaches for high-throughput phenotyping in plant breeding. Frontiers in Plant Science, 7 (AUG 2016) 1131. doi: 10.3389/fpls.2016.01131 |
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2016 Journal Article Dynamic quantification of canopy structure to characterize early plant vigour in wheat genotypesDuan, T., Chapman, S. C., Holland, E., Rebetzke, G. J., Guo, Y. and Zheng, B. (2016). Dynamic quantification of canopy structure to characterize early plant vigour in wheat genotypes. Journal of Experimental Botany, 67 (15), 4523-4534. doi: 10.1093/jxb/erw227 |
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2016 Journal Article Genotypic differences in effects of short episodes of high-temperature stress during reproductive development in sorghumSingh, Vijaya, Nguyen, Chuc T., Yang, Zongjian, Chapman, Scott C., van Oosterom, Erik J. and Hammer, Graeme L. (2016). Genotypic differences in effects of short episodes of high-temperature stress during reproductive development in sorghum. Crop Science, 56 (4), 1561-1572. doi: 10.2135/cropsci2015.09.0545 |
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2016 Journal Article An integrated approach to maintaining cereal productivity under climate changeReynolds, Matthew P., Quilligan, Emma, Aggarwal, Pramod K., Bansal, Kailash C., Cavalieri, Anthony J., Chapman, Scott C., Chapotin, Saharah M., Datta, Swapan K., Duveiller, Etienne, Gill, Kulvinder S., Jagadish, Krishna S.V., Joshi, Arun K., Koehler, Ann-Kristin, Kosina, Petr, Krishnan, Srivalli, Lafitte, Renee, Mahala, Rajendra S., Muthurajan, Raveendran, Paterson, Andrew H., Prasanna, Boddupalli M., Rakshit, Sujay, Rosegrant, Mark W., Sharma, Indu, Singh, Ravi P., Sivasankar, Shoba, Vadez, Vincent, Valluru, Ravi, Vara Prasad, P. V. and Yadav, Om Prakash (2016). An integrated approach to maintaining cereal productivity under climate change. Global Food Security, 8, 9-18. doi: 10.1016/j.gfs.2016.02.002 |
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2016 Journal Article Velocity of temperature and flowering time in wheat - assisting breeders to keep pace with climate changeZheng, Bangyou, Chenu, Karine and Chapman, Scott C. (2016). Velocity of temperature and flowering time in wheat - assisting breeders to keep pace with climate change. Global Change Biology, 22 (2), 921-933. doi: 10.1111/gcb.13118 |
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2016 Journal Article Assessment of the potential impacts of wheat plant traits across environments by combining crop modeling and global sensitivity analysisCasadebaig, Pierre, Zheng, Bangyou, Chapman, Scott, Huth, Neil, Faivre, Robert and Chenu, Karine (2016). Assessment of the potential impacts of wheat plant traits across environments by combining crop modeling and global sensitivity analysis. Plos One, 11 (1) e0146385, e0146385. doi: 10.1371/journal.pone.0146385 |
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2016 Journal Article Improvement of predictive ability by uniform coverage of the target genetic spaceBustos-Korts, Daniela, Malosetti, Marcos, Chapman, Scott, Biddulph, Ben and van Eeuwijk, Fred (2016). Improvement of predictive ability by uniform coverage of the target genetic space. G3: Genes, Genomes, Genetics, 6 (11), 3733-3747. doi: 10.1534/g3.116.035410 |
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2016 Journal Article Do wheat breeders have suitable genetic variation to overcome short coleoptiles and poor establishment in the warmer soils of future climates?Rebetzke, Greg J., Zheng, Bangyou and Chapman, Scott C. (2016). Do wheat breeders have suitable genetic variation to overcome short coleoptiles and poor establishment in the warmer soils of future climates?. Functional Plant Biology, 43 (10), 961-972. doi: 10.1071/FP15362 |
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2015 Journal Article The value of adapting to climate change in Australian wheat farm systems: farm to cross-regional scaleGhahramani, Afshin, Kokic, Philip N., Moore, Andrew D., Zheng, Bangyou, Chapman, Scott C., Howden, Mark S. and Crimp, Steven J. (2015). The value of adapting to climate change in Australian wheat farm systems: farm to cross-regional scale. Agriculture, Ecosystems and Environment, 211, 112-125. doi: 10.1016/j.agee.2015.05.011 |
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2015 Journal Article SensorDB: a virtual laboratory for the integration, visualization and analysis of varied biological sensor dataSalehi, Ali, Jimenez-Berni, Jose, Deery, David M., Palmer, Doug, Holland, Edward, Rozas-Larraondo, Pablo, Chapman, Scott C., Georgakopoulos, Dimitrios and Furbank, Robert T. (2015). SensorDB: a virtual laboratory for the integration, visualization and analysis of varied biological sensor data. Plant Methods, 11 (1) 53. doi: 10.1186/s13007-015-0097-z |
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2015 Journal Article The shifting influence of drought and heat stress for crops in northeast AustraliaLobell, David B., Hammer, Graeme L., Chenu, Karine, Zheng, Bangyou, McLean, Greg and Chapman, Scott C. (2015). The shifting influence of drought and heat stress for crops in northeast Australia. Global Change Biology, 21 (11), 4115-4127. doi: 10.1111/gcb.13022 |
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2015 Journal Article Frost trends and their estimated impact on yield in the Australian wheatbeltZheng, Bangyou, Chapman, Scott C., Christopher, Jack T., Frederiks, Troy M. and Chenu, Karine (2015). Frost trends and their estimated impact on yield in the Australian wheatbelt. Journal of Experimental Botany, 66 (12), 3611-3623. doi: 10.1093/jxb/erv163 |
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2015 Journal Article Sorghum genotypes differ in high temperature responses for seed setSingh, Vijaya, Nguyen, Chuc T., van Oosterom, Erik J., Chapman, Scott C., Jordan, David R. and Hammer, Graeme L. (2015). Sorghum genotypes differ in high temperature responses for seed set. Field Crops Research, 171, 32-40. doi: 10.1016/j.fcr.2014.11.003 |
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2015 Journal Article Meeting report on the challenge of inference from genome to phenomeHuang, Bevan Emma, Reverter, Antonio, Purvis, Ian and Chapman, Scott (2015). Meeting report on the challenge of inference from genome to phenome. G3: Genes, Genomes, Genetics, 5 (10), 1945-1947. doi: 10.1534/g3.115.019182 |
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2014 Journal Article APSIM - evolution towards a new generation of agricultural systems simulationHolzworth, Dean P., Huth, Neil I., deVoil, Peter G., Zurcher, Eric J., Herrmann, Neville I., McLean, Greg, Chenu, Karine, van Oosterom, Erik J., Snow, Val, Murphy, Chris, Moore, Andrew D., Brown, Hamish, Whish, Jeremy P. M., Verrall, Shaun, Fainges, Justin, Bell, Lindsay W., Peake, Allan S., Poulton, Perry L., Hochman, Zvi, Thorburn, Peter J., Gaydon, Donald S., Dalgliesh, Neal P., Rodriguez, Daniel, Cox, Howard, Chapman, Scott, Doherty, Alastair, Teixeira, Edmar, Sharp, Joanna, Cichota, Rogerio ... Keating, Brian A. (2014). APSIM - evolution towards a new generation of agricultural systems simulation. Environmental Modelling and Software, 62, 327-350. doi: 10.1016/j.envsoft.2014.07.009 |
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2014 Journal Article Crop design for specific adaptation in variable dryland production environmentsHammer, Graeme L., McLean, Greg, Chapman, Scott, Zheng, Bangyou, Doherty, Al, Harrison, Matthew T., van Oosterom, Erik and Jordan, David (2014). Crop design for specific adaptation in variable dryland production environments. Crop and Pasture Science, 65 (7), 614-626. doi: 10.1071/CP14088 |
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2014 Journal Article Predictions of heading date in bread wheat (Triticum aestivum L.) using QTL-based parameters of an ecophysiological modelBogard, Matthieu, Ravel, Catherine, Paux, Etienne, Bordes, Jacques, Balfourier, François, Chapman, Scott C., Le Gouis, Jacques and Allard, Vincent (2014). Predictions of heading date in bread wheat (Triticum aestivum L.) using QTL-based parameters of an ecophysiological model. Journal of Experimental Botany, 65 (20), 5849-5865. doi: 10.1093/jxb/eru328 |
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2014 Journal Article Pheno-copter: a low-altitude, autonomous remote-sensing robotic helicopter for high-throughput field-based phenotypingChapman, Scott C., Merz, Torsten, Chan, Amy, Jackway, Paul, Hrabar, Stefan, Dreccer, M. Fernanda, Holland, Edward, Zheng, Bangyou, Ling, T. Jun and Jimenez-Berni, Jose (2014). Pheno-copter: a low-altitude, autonomous remote-sensing robotic helicopter for high-throughput field-based phenotyping. Agronomy, 4 (2), 279-301. doi: 10.3390/agronomy4020279 |
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2013 Journal Article Quantification of the effects of VRN1 and Ppd-D1 to predict spring wheat (Triticum aestivum) heading time across diverse environmentsZheng, Bangyou, Biddulph, Ben, Li, Dora, Kuchel, Haydn and Chapman, Scott (2013). Quantification of the effects of VRN1 and Ppd-D1 to predict spring wheat (Triticum aestivum) heading time across diverse environments. Journal of Experimental Botany, 64 (12), 3747-3761. doi: 10.1093/jxb/ert209 |
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2013 Journal Article Evaluation of reduced-tillering (tin) wheat lines in managed, terminal water deficit environmentsMitchell, J. H., Rebetzke, G. J., Chapman, S. C. and Fukai, S. (2013). Evaluation of reduced-tillering (tin) wheat lines in managed, terminal water deficit environments. Journal of Experimental Botany, 64 (11), 3439-3451. doi: 10.1093/jxb/ert181 |
