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2020 Journal Article Global Wheat Head Detection (GWHD) dataset: a large and diverse dataset of high-resolution rgb-labelled images to develop and benchmark wheat head detection methodsDavid, E., Madec, Shouyang, Sadeghi-Tehran, Pouria, Aasen, Helge, Zheng, B., Liu, Simon, Kirchgessner, Norbert, Ishikawa, Goro, Nagasawa, Koichi, Badhon, Minhajul A., Pozniak, Curtis, de Solan, Benoit, Hund, Andreas, Chapman, Scott C., Baret, Fred, Stavness, Ian and Guo, Wei (2020). Global Wheat Head Detection (GWHD) dataset: a large and diverse dataset of high-resolution rgb-labelled images to develop and benchmark wheat head detection methods. Plant Phenomics, 2020 3521852, 1-12. doi: 10.34133/2020/3521852 |
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2020 Journal Article Breeder friendly phenotypingReynolds, Matthew, Chapman, Scott, Crespo-Herrera, Leonardo, Molero, Gemma, Mondal, Suchismita, Pequeno, Diego N.L., Pinto, Francisco, Pinera-Chavez, Francisco J., Poland, Jesse, Rivera-Amado, Carolina, Saint Pierre, Carolina and Sukumaran, Sivakumar (2020). Breeder friendly phenotyping. Plant Science, 295 110396, 110396. doi: 10.1016/j.plantsci.2019.110396 |
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2020 Journal Article Linking genetic maps and simulation to optimize breeding for wheat flowering time in current and future climatesBogard, Matthieu, Biddulph, Ben, Zheng, Bangyou, Hayden, Matthew, Kuchel, Haydn, Mullan, Dan, Allard, Vincent, Gouis, Jacques Le and Chapman, Scott C. (2020). Linking genetic maps and simulation to optimize breeding for wheat flowering time in current and future climates. Crop Science, 60 (2), 678-699. doi: 10.1002/csc2.20113 |
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2020 Journal Article Designing crops for adaptation to the drought and high-temperature risks anticipated in future climatesHammer, 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 |
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2020 Conference Publication Quantifying drought tolerant crop traits using sensing technologies to enhance selection in sorghum breeding trialsPotgieter, 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. |
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2020 Conference Publication Integrated high-throughput phenotyping with high resolution multispectral, hyperspectral and 3D point cloud techniques for screening wheat genotypes on sodic soilsChoudhury, Malini Roy, Christopher, Jack, Apan, Armando, Chapman, Scott, Menzies, Neal and Dang, Yash (2020). Integrated high-throughput phenotyping with high resolution multispectral, hyperspectral and 3D point cloud techniques for screening wheat genotypes on sodic soils. Third International Tropical Agriculture Conference (TROPAG 2019), Brisbane, Australia, 11–13 November 2019. Basel, Switzerland: MDPI . doi: 10.3390/proceedings2019036206 |
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2019 Journal Article From QTLs to adaptation landscapes: using genotype-to-phenotype models to characterize G×E over timeBustos-Korts, Daniela, Malosetti, Marcos, Chenu, Karine, Chapman, Scott, Boer, Martin P., Zheng, Bangyou and van Eeuwijk, Fred A. (2019). From QTLs to adaptation landscapes: using genotype-to-phenotype models to characterize G×E over time. Frontiers in Plant Science, 10 1540, 1540. doi: 10.3389/fpls.2019.01540 |
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2019 Journal Article Combining crop growth modeling and statistical genetic modeling to evaluate phenotyping strategiesBustos-Korts, Daniela, Boer, Martin P., Malosetti, Marcos, Chapman, Scott, Chenu, Karine, Zheng, Bangyou and van Eeuwijk, Fred (2019). Combining crop growth modeling and statistical genetic modeling to evaluate phenotyping strategies. Frontiers in Plant Science, 10 1491, 1491. doi: 10.3389/fpls.2019.01491 |
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2019 Journal Article Pixel size of aerial imagery constrains the applications of unmanned aerial vehicle in crop breedingHu, Pengcheng, Guo, Wei, Chapman, Scott C., Guo, Yan and Zheng, Bangyou (2019). Pixel size of aerial imagery constrains the applications of unmanned aerial vehicle in crop breeding. ISPRS Journal of Photogrammetry and Remote Sensing, 154, 1-9. doi: 10.1016/j.isprsjprs.2019.05.008 |
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2019 Journal Article Evaluation of the phenotypic repeatability of canopy temperature in wheat using continuous-terrestrial and airborne measurementsDeery, David M., Rebetzke, Greg J., Jimenez-Berni, Jose A., Bovill, William D., James, Richard A., Condon, Anthony G., Furbank, Robert T., Chapman, Scott C. and Fischer, Ralph A. (2019). Evaluation of the phenotypic repeatability of canopy temperature in wheat using continuous-terrestrial and airborne measurements. Frontiers in Plant Science, 10 875, 875. doi: 10.3389/fpls.2019.00875 |
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2019 Journal Article A weakly supervised deep learning framework for sorghum head detection and countingGhosal, Sambuddha, Zheng, Bangyou, Chapman, Scott C., Potgieter, Andries B., Jordan, David R., Wang, Xuemin, Singh, Asheesh K., Singh, Arti, Hirafuji, Masayuki, Ninomiya, Seishi, Ganapathysubramanian, Baskar, Sarkar, Soumik and Guo, Wei (2019). A weakly supervised deep learning framework for sorghum head detection and counting. Plant Phenomics, 2019 1525874, 1525874-14. doi: 10.34133/2019/1525874 |
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2019 Journal Article Modelling impact of early vigour on wheat yield in dryland regionsZhao, Zhigan, Rebetzke, Greg J., Zheng, Bangyou, Chapman, Scott C. and Wang, Enli (2019). Modelling impact of early vigour on wheat yield in dryland regions. Journal of Experimental Botany, 70 (9), 2535-2548. doi: 10.1093/jxb/erz069 |
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2019 Journal Article Improving process-based crop models to better capture genotype×environment×management interactionsWang, Enli, Brown, Hamish E., Rebetzke, Greg J., Zhao, Zhigan, Zheng, Bangyou and Chapman, Scott C. (2019). Improving process-based crop models to better capture genotype×environment×management interactions. Journal of Experimental Botany, 70 (9), 2389-2401. doi: 10.1093/jxb/erz092 |
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2019 Journal Article A new probabilistic forecasting model for canopy temperature with consideration of periodicity and parameter variationShao, Quanxi, Bange, Michael, Mahan, James, Jin, Huidong, Jamali, Hizbullah, Zheng, Bangyou and Chapman, Scott C. (2019). A new probabilistic forecasting model for canopy temperature with consideration of periodicity and parameter variation. Agricultural and Forest Meteorology, 265, 88-98. doi: 10.1016/j.agrformet.2018.11.013 |
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2019 Journal Article On the dynamic determinants of reproductive failure under drought in maizeMessina, 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 |
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2019 Conference Publication Genotype and management adaptation of wheat to heat and drought in current and future climatesChenu, Karine, Ababaei, Behnam, Watson, James and Chapman, Scott (2019). Genotype and management adaptation of wheat to heat and drought in current and future climates. International Tropical Agriculture Conference (TropAg2019), Brisbane, QLD Australia, 11-13 November 2019. |
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2019 Conference Publication Predicting lodging using sensing technologies to enhance selection in sorghum breeding trialsPotgieter, 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. |
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2019 Conference Publication Seeing canopy photosynthesis through the eyes of a GeckoGeorge-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. |
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2019 Conference Publication Modelling the dynamic of canopy development in APSIM wheatZheng, Bangyou, Dreccer, Fernanda, Chapman, Scott, Wang, Enli and Chenu, Karine (2019). Modelling the dynamic of canopy development in APSIM wheat. 19th Australian Agronomy Conference, Wagga Wagga, NSW, Australia, 25-29 August 2019. Wagga Wagga, NSW, Australia: Australian Society of Agronomy. |
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2019 Conference Publication High-throughput phenotyping tools to test whether leaf-level photosynthesis traits are measurable at the crop levelGeorge-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. |
