Professor Scott Chapman

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

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

Hammer, Graeme, Messina, Charlie, van Oosterom, Erik, Chapman, Scott, Singh, Vijaya, Borrell, Andrew, Jordan, David and Cooper, Mark (2016). Molecular breeding for complex adaptive traits: how integrating crop ecophysiology and modelling can enhance efficiency. Crop systems biology: narrowing the gaps between crop modelling and genetics. (pp. 147-162) edited by Xinyou Yin and Paul C. Struik. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-319-20562-5_7

Hammer, Graeme, McLean, Greg, Doherty, Al, van Oosterom, Erik and Chapman, Scott (2016). Sorghum crop modeling and its utility in agronomy and breeding. Sorghum: state of the art and future perspectives. (pp. 1-25) edited by Ignacio Ciampitti and Vara Prasad. Madison, WI United States: American Society of Agronomy and Crop Science Society of America. doi: 10.2134/agronmonogr58.2014.0064

Bustos-Korts, Daniela, Malosetti, Marcos, Chapman, Scott and van Eeuwijk, Fred (2015). Modelling of genotype by environment interaction and prediction of complex traits across multiple environments as a synthesis of crop growth modelling, genetics and statistics. Crop Systems Biology: Narrowing the Gaps Between Crop Modelling and Genetics. (pp. 55-82) edited by Xinyou Yin and Paul C. Struik. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-319-20562-5_3

Hathorn, Adrian and Chapman, Scott C. (2014). Historical and prospective applications of ‘quantitative genomics’ in utilising germplasm resources. Genomics of plant genetic resources: volume 1. managing, sequencing and mining genetic resources. (pp. 93-110) edited by Roberto Tuberosa, Andreas Graner and Emile Frison. Dordrecht, Netherlands : Springer Netherlands. doi: 10.1007/978-94-007-7572-5_5

Hathorn, Adrian, Chapman, Scott and Dieters, Mark (2014). Simulated breeding with QU-GENE graphical user interface. Crop breeding: methods and protocols. (pp. 131-142) edited by Delphine Fleury and Ryan Whitford. New York, NY, United States: Humana Press. doi: 10.1007/978-1-4939-0446-4_11

Reynolds, Matthew P., Hays, Dirk and Chapman, Scott (2010). Breeding for adaptation to heat and drought stress. Climate Change and Crop Production. (pp. 71-91) CABI Publishing.

Rebetzke, Greg J., Chapman, Scott C., Lynne Mcintyre, C., Richards, Richard A., Condon, Anthony G., Watt, Michelle and Van Herwaarden, Anthony F. (2009). Grain Yield Improvement in Water-Limited Environments. Wheat Science and Trade. (pp. 215-249) Oxford, UK: Wiley-Blackwell. doi: 10.1002/9780813818832.ch11

Cooper, Mark, van Eeuwijk, Fred, Chapman, Scott C., Podlich, Dean W. and Loffler, Carlos (2006). Genotype-by-environment interactions under water-limited conditions. Drought Adaptation in Cereals. (pp. 51-96) edited by Jean-Marcel Ribaut. New York, NY, United States: Food Products Press. doi: 10.1201/9781003578338-5

Cooper, M., Podlich, D., Micallef, K. P., Smith, O. S., Jensen, N. M., Chapman, S. C. and Kruger, N. L. (2002). Complexity, quantitative traits and plant breeding: a role for simulation modelling in the genetic improvement of crops. Quantitative Genetics, Genomics and Plant Breeding. (pp. 143-166) edited by M. S. Kang. Wallingford, UK: CAB International.

Cooper, M., Podlich, D., Jensen, N., Chapman, S. C. and Hammer, G. L. (1999). Modelling plant breeding programs. Trends in Agronomy. (pp. 33-64) Trivandrum, India: Research Trends.

Smith, Daniel T. L., Chen, Qiaomin, Massey-Reed, Sean Reynolds, Potgieter, Andries B. and Chapman, Scott C. (2024). Prediction accuracy and repeatability of UAV based biomass estimation in wheat variety trials as affected by variable type, modelling strategy and sampling location. Plant Methods, 20 (1) 129. doi: 10.1186/s13007-024-01236-w

Hu, Pengcheng, Zheng, Bangyou, Chen, Qiaomin, Grunefeld, Swaantje, Choudhury, Malini Roy, Fernandez, Javier, Potgieter, Andries and Chapman, Scott C. (2024). Estimating aboveground biomass dynamics of wheat at small spatial scale by integrating crop growth and radiative transfer models with satellite remote sensing data. Remote Sensing of Environment, 311 114277, 1-15. doi: 10.1016/j.rse.2024.114277

Xie, Zunyi, Zhao, Yan, Jiang, Ruizhu, Zhang, Miao, Hammer, Graeme, Chapman, Scott, Brider, Jason and Potgieter, Andries B. (2024). Seasonal dynamics of fallow and cropping lands in the broadacre cropping region of Australia. Remote Sensing of Environment, 305 114070, 1-14. doi: 10.1016/j.rse.2024.114070

James, Chrisbin, Smith, Daniel, He, Weigao, Chandra, Shekhar S. and Chapman, Scott C. (2024). GrainPointNet: a deep-learning framework for non-invasive sorghum panicle grain count phenotyping. Computers and Electronics in Agriculture, 217 108485, 108485. doi: 10.1016/j.compag.2023.108485

Li, Tong, Xia, Anquan, McLaren, Timothy I., Pandey, Rajiv, Xu, Zhihong, Liu, Hongdou, Manning, Sean, Madgett, Oli, Duncan, Sam, Rasmussen, Peter, Ruhnke, Florian, Yüzügüllü, Onur, Fajraoui, Noura, Beniwal, Deeksha, Chapman, Scott, Tsiminis, Georgios, Smith, Chaya, Dalal, Ram C. and Dang, Yash P. (2023). Preliminary results in innovative solutions for soil carbon estimation: integrating remote sensing, machine learning, and proximal sensing spectroscopy. Remote Sensing, 15 (23) 5571, 1-17. doi: 10.3390/rs15235571

Garba, Ismail I., Bell, Lindsay W., Chapman, Scott, deVoil, Peter, Kamara, Alpha Y. and Williams, Alwyn (2023). Modelling the impacts of diverse cover crops on soil water and nitrogen and cash crop yields in a sub-tropical dryland. Field Crops Research, 301 109019, 1-14. doi: 10.1016/j.fcr.2023.109019

Xiong, Yiyi, Chiau, Lucas Mauro Rogerio, Wenham, Kylie, Collins, Marisa and Chapman, Scott C. (2023). Utilisation of unmanned aerial vehicle imagery to assess growth parameters in mungbean (Vigna radiata (L.) Wilczek). Crop and Pasture Science, 75 (1) ARTN CP22335CO. doi: 10.1071/cp22335

Kashyap, Mayuri, Torniainen, Jari, Bertling, Karl, Kundu, Urbi, Singh, Khushboo, Donose, Bogdan, Gillespie, Tim, Lim, Yah Leng, Indjin, Dragan, Li, Lian He, Linfield, Edmund, Davies, Giles, Dean, Paul, Smith, Millicent, Chapman, Scott, Bandyopadhyay, Aparajita, Sengupta, Amartya and Rakic, Aleksandar (2023). Coherent Terahertz laser feedback interferometry for hydration sensing in leaves. Optics Express, 31 (15), 23877-23888. doi: 10.1364/oe.490217

David, Etienne, Ogidi, Franklin, Smith, Daniel, Chapman, Scott, de Solan, Benoit, Guo, Wei, Baret, Frederic and Stavness, Ian (2023). Global wheat head detection challenges: winning models and application for head counting. Plant Phenomics, 5 0059, 1-14. doi: 10.34133/plantphenomics.0059

Madec, Simon, Irfan, Kamran, Velumani, Kaaviya, Baret, Frederic, David, Etienne, Daubige, Gaetan, Samatan, Lucas Bernigaud, Serouart, Mario, Smith, Daniel, James, Chrisbin, Camacho, Fernando, Guo, Wei, De Solan, Benoit, Chapman, Scott C. and Weiss, Marie (2023). VegAnn, Vegetation Annotation of multi-crop RGB images acquired under diverse conditions for segmentation. Scientific Data, 10 (1) 302, 1-12. doi: 10.1038/s41597-023-02098-y

Chen, Qiaomin, Zheng, Bangyou, Chenu, Karine and Chapman, Scott C. (2023). A generic model to estimate wheat LAI over growing season regardless of the soil-type background. Plant Phenomics, 5 0055, 0055. doi: 10.34133/plantphenomics.0055

Li, Yinglun, Zhan, Xiaohai, Liu, Shouyang, Lu, Hao, Jiang, Ruibo, Guo, Wei, Chapman, Scott, Ge, Yufeng, Solan, Benoit de, Ding, Yanfeng and Baret, Frédéric (2023). Self-supervised plant phenotyping by combining domain adaptation with 3D plant model simulations: application to wheat leaf counting at seedling stage. Plant Phenomics, 5 0041, 1-13. doi: 10.34133/plantphenomics.0041

James, Chrisbin, Gu, Yanyang, Potgieter, Andries, David, Etienne, Madec, Simon, Guo, Wei, Baret, Frédéric, Eriksson, Anders and Chapman, Scott (2023). From prototype to inference: a pipeline to apply deep learning in sorghum panicle detection. Plant Phenomics, 5 0017, 1-16. doi: 10.34133/plantphenomics.0017

Chen, Qiaomin, Zheng, Bangyou, Chenu, Karine, Hu, Pengcheng and Chapman, Scott C. (2022). Unsupervised plot-scale LAI phenotyping via UAV-based imaging, modelling, and machine learning. Plant Phenomics, 2022 9768253, 1-19. doi: 10.34133/2022/9768253

Chen, Qiaomin, Zheng, Bangyou, Chen, Tong and Chapman, Scott C. (2022). Integrating crop growth model and radiative transfer model to improve estimation of crop traits based on deep learning. Journal of Experimental Botany, 73 (19), 6558-6574. doi: 10.1093/jxb/erac291

Hu, Pengcheng, Chapman, Scott C., Sukumaran, Sivakumar, Reynolds, Matthew and Zheng, Bangyou (2022). Phenological optimization of late reproductive phase for raising wheat yield potential in irrigated mega-environments. Journal of Experimental Botany, 73 (12), 4236-4249. doi: 10.1093/jxb/erac144

Das, Sumanta, Christopher, Jack, Roy Choudhury, Malini, Apan, Armando, Chapman, Scott, Menzies, Neal W. and Dang, Yash P. (2022). Evaluation of drought tolerance of wheat genotypes in rain-fed sodic soil environments using high-resolution UAV remote sensing techniques. Biosystems Engineering, 217, 68-82. doi: 10.1016/j.biosystemseng.2022.03.004

Reynolds, Matthew Paul, Slafer, Gustavo Ariel, Foulkes, John Michael, Griffiths, Simon, Murchie, Erik Harry, Carmo-Silva, Elizabete, Asseng, Senthold, Chapman, Scott C., Sawkins, Mark, Gwyn, Jeff and Flavell, Richard Bailey (2022). A wiring diagram to integrate physiological traits of wheat yield potential. Nature Food, 3 (5), 318-324. doi: 10.1038/s43016-022-00512-z

Zhi, Xiaoyu, Massey-Reed, Sean Reynolds, Wu, Alex, Potgieter, Andries, Borrell, Andrew, Hunt, Colleen, Jordan, David, Zhao, Yan, Chapman, Scott, Hammer, Graeme and George-Jaeggli, Barbara (2022). Estimating photosynthetic attributes from high-throughput canopy hyperspectral sensing in sorghum. Plant Phenomics, 2022 9768502, 1-18. doi: 10.34133/2022/9768502

Roy Choudhury, Malini, Christopher, Jack, Das, Sumanta, Apan, Armando, Menzies, Neal W., Chapman, Scott, Mellor, Vincent and Dang, Yash P. (2022). Detection of calcium, magnesium, and chlorophyll variations of wheat genotypes on sodic soils using hyperspectral red edge parameters. Environmental Technology & Innovation, 27 102469, 102469. doi: 10.1016/j.eti.2022.102469

Ojeda, Jonathan J., Hammer, Graeme, Yang, Kai‐Wei, Tuinstra, Mitchell R., deVoil, Peter, McLean, Greg, Huber, Isaiah, Volenec, Jeffrey J., Brouder, Sylvie M., Archontoulis, Sotirios and Chapman, Scott C. (2022). Quantifying the effects of varietal types × management on the spatial variability of sorghum biomass across US environments. GCB Bioenergy, 14 (3), 411-433. doi: 10.1111/gcbb.12919

Hu, Pengcheng, Chapman, Scott C., Dreisigacker, Susanne, Sukumaran, Sivakumar, Reynolds, Matthew and Zheng, Bangyou (2021). Using a gene-based phenology model to identify optimal flowering periods of spring wheat in irrigated mega-environments. Journal of Experimental Botany, 72 (20), 7203-7218. doi: 10.1093/jxb/erab326

Zhao, Yan, Zheng, Bangyou, Chapman, Scott C., Laws, Kenneth, George-Jaeggli, Barbara, Hammer, Graeme L., Jordan, David R. and Potgieter, Andries B. (2021). Detecting sorghum plant and head features from multispectral UAV imagery. Plant Phenomics, 2021 9874650, 9874650-14. doi: 10.34133/2021/9874650

Das, Sumanta, Christopher, Jack, Apan, Armando, Choudhury, Malini Roy, Chapman, Scott, Menzies, Neal W. and Dang, Yash P. (2021). Evaluation of water status of wheat genotypes to aid prediction of yield on sodic soils using UAV-thermal imaging and machine learning. Agricultural and Forest Meteorology, 307 108477, 108477. doi: 10.1016/j.agrformet.2021.108477

Roy Choudhury, Malini, Das, Sumanta, Christopher, Jack, Apan, Armando, Chapman, Scott, Menzies, Neal W. and Dang, Yash P. (2021). Improving biomass and grain yield prediction of wheat genotypes on sodic soil using integrated high-resolution multispectral, hyperspectral, 3D point cloud, and machine learning techniques. Remote Sensing, 13 (17) 3482, 3482. doi: 10.3390/rs13173482

Choudhury, Malini Roy, Mellor, Vincent, Das, Sumanta, Christopher, Jack, Apan, Armando, Menzies, Neal W., Chapman, Scott and Dang, Yash P. (2021). Improving estimation of in-season crop water use and health of wheat genotypes on sodic soils using spatial interpolation techniques and multi-component metrics. Agricultural Water Management, 255 107007, 1-16. doi: 10.1016/j.agwat.2021.107007

Das, Sumanta, Chapman, Scott, Christopher, Jack, Roy Choudhury, Malini, Menzies, Neal W., Apan, Armando and Dang, Yash P. (2021). UAV-thermal imaging: a technological breakthrough for monitoring and quantifying crop abiotic stress to help sustain productivity on sodic soils – a case review on wheat. Remote Sensing Applications: Society and Environment, 23 100583, 1-13. doi: 10.1016/j.rsase.2021.100583

Hu, Pengcheng, Chapman, Scott C., Jin, Huidong, Guo, Yan and Zheng, Bangyou (2021). Comparison of modelling strategies to estimate phenotypic values from an unmanned aerial vehicle with spectral and temporal vegetation indexes. Remote Sensing, 13 (14) 2827, 1-19. doi: 10.3390/rs13142827

Bustos-Korts, Daniela, Boer, Martin P., Chenu, Karine, Zheng, Bangyou, Chapman, Scott and van Eeuwijk, Fred (2021). Genotype specific P-spline response surfaces assist interpretation of regional wheat adaptation to climate change. In Silico Plants, 3 (2) diab018. doi: 10.1093/insilicoplants/diab018

Hu, Pengcheng, Chapman, Scott C. and Zheng, Bangyou (2021). Coupling of machine learning methods to improve estimation of ground coverage from unmanned aerial vehicle (UAV) imagery for high-throughput phenotyping of crops. Functional Plant Biology, 48 (8), 766-779. doi: 10.1071/FP20309

Smith, Daniel T., Potgieter, Andries B. and Chapman, Scott C. (2021). Scaling up high-throughput phenotyping for abiotic stress selection in the field. Theoretical and Applied Genetics, 134 (6), 1845-1866. doi: 10.1007/s00122-021-03864-5

Potgieter, A. B., Zhao, Yan, Zarco-Tejada, Pablo J, Chenu, Karine, Zhang, Yifan, Porker, Kenton, Biddulph, Ben, Dang, Yash P., Neale, Tim, Roosta, Fred and Chapman, Scott (2021). Evolution and application of digital technologies to predict crop type and crop phenology in agriculture. In Silico Plants, 3 (1) diab017, 1-23. doi: 10.1093/insilicoplants/diab017

Rodrigues, Paulo C., Heuvelink, Ep, Marcelis, Leo F. M., Chapman, Scott C. and van Eeuwijk, Fred A. (2021). An analysis of simulated yield data for pepper shows how genotype × environment interaction in yield can be understood in terms of yield components and their QTLs. Crop Science, 61 (3), 1826-1842. doi: 10.1002/csc2.20476

Das, Sumanta, Christopher, Jack, Apan, Armando, Roy Choudhury, Malini, Chapman, Scott, Menzies, Neal W. and Dang, Yash P. (2021). UAV-Thermal imaging and agglomerative hierarchical clustering techniques to evaluate and rank physiological performance of wheat genotypes on sodic soil. ISPRS Journal of Photogrammetry and Remote Sensing, 173, 221-237. doi: 10.1016/j.isprsjprs.2021.01.014

Collins, Brian, Chapman, Scott, Hammer, Graeme and Chenu, Karine (2021). Limiting transpiration rate in high evaporative demand conditions to improve Australian wheat productivity. in silico Plants, 3 (1) diab006, 1-16. doi: 10.1093/insilicoplants/diab006

Yang, Kai-Wei, Chapman, Scott, Carpenter, Neal, Hammer, Graeme, McLean, Greg, Zheng, Bangyou, Chen, Yuhao, Delp, Edward, Masjedi, Ali, Crawford, Melba, Ebert, David, Habib, Ayman, Thompson, Addie, Weil, Clifford and Tuinstra, Mitchell R (2021). Integrating crop growth models with remote sensing for predicting biomass yield of sorghum. In Silico Plants, 3 (1) diab001, 1-19. doi: 10.1093/insilicoplants/diab001

Cooper, M., Powell, O., Voss-Fels, K. P., Messina, C. D., Gho, C., Podlich, D. W., Technow, F., Chapman, S. C., Beveridge, C. A., Ortiz-Barrientos, D. and Hammer, G. L. (2021). Modelling selection response in plant breeding programs using crop models as mechanistic gene-to-phenotype (CGM-G2P) multi-trait link functions. in silico Plants, 3 (1) diaa016, 1-21. doi: 10.1093/insilicoplants/diaa016

David, 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

Reynolds, 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

Bogard, 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

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

Bustos-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

Bustos-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

Hu, 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

Deery, 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

Ghosal, 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

Zhao, 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

Wang, 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

Shao, 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

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

Guo, Wei, Zheng, Bangyou, Potgieter, Andries B., Diot, Julien, Watanabe, Kakeru, Noshita, Koji, Jordan, David R., Wang, Xuemin, Watson, James, Ninomiya, Seishi and Chapman, Scott C. (2018). Aerial imagery analysis – quantifying appearance and number of sorghum heads for applications in breeding and agronomy. Frontiers in Plant Science, 9 1544, 1544. doi: 10.3389/fpls.2018.01544

Zheng, Bangyou, Chapman, Scott and Chenu, Karine (2018). The value of tactical adaptation to El Niño–southern oscillation for east Australian wheat. Climate, 6 (3) 77, 77. doi: 10.3390/cli6030077

An-Vo, Duc-Anh, Mushtaq, Shahbaz, Zheng, Bangyou, Christopher, Jack T., Chapman, Scott C. and Chenu, Karine (2018). Direct and indirect costs of frost in the Australian wheatbelt. Ecological Economics, 150, 122-136. doi: 10.1016/j.ecolecon.2018.04.008

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

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

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

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

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

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

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

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

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

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

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

Duan, Tao, Zheng, Bangyou, Guo, Wei, Ninomiya, Seishi, Guo, Yan and Chapman, Scott C. (2017). Comparison of ground cover estimates from experiment plots in cotton, sorghum and sugarcane based on images and ortho-mosaics captured by UAV. Functional Plant Biology, 44 (1), 169-183. doi: 10.1071/FP16123

Pauli, Duke, Chapman, Scott C., Bart, Rebecca, Topp, Christopher N., Lawrence-Dill, Carolyn J., Poland, Jesse and Gore, Michael A. (2016). The quest for understanding phenotypic variation via integrated approaches in the field environment. Plant Physiology, 172 (2), 622-634. doi: 10.1104/pp.16.00592

Zheng, Bangyou, Holland, Edward and Chapman, Scott C. (2016). A standardized workflow to utilise a grid-computing system through advanced message queuing protocols. Environmental Modelling and Software, 84, 304-310. doi: 10.1016/j.envsoft.2016.07.012

Sukumaran, Sivakumar, Lopes, Marta S., Dreisigacker, Susanne, Dixon, Laura E., Zikhali, Meluleki, Griffiths, Simon, Zheng, Bangyou, Chapman, Scott and Reynolds, Matthew P. (2016). Identification of earliness per se flowering time locus in spring wheat through a genome-wide association study. Crop Science, 56 (6), 2962-2972. doi: 10.2135/cropsci2016.01.0066

Crimp, Steven Jeffery, Zheng, Bangyou, Khimashia, Nirav, Gobbett, David Lyon, Chapman, Scott, Howden, Mark and Nicholls, Neville (2016). Recent changes in southern Australian frost occurrence: implications for wheat production risk. Crop and Pasture Science, 67 (8), 801-811. doi: 10.1071/CP16056

Tattaris, 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

Duan, 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

Singh, 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

Zheng, 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

Casadebaig, 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

Bustos-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

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

Ghahramani, 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

Salehi, 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

Lobell, 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

Zheng, 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

Singh, 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

Huang, 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

Holzworth, 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

Hammer, 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

Chapman, 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

Bogard, 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

Zheng, 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

Mitchell, 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

Chenu, Karine, Deihimfard, Reza and Chapman, Scott C. (2013). Large-scale characterization of drought pattern: a continent-wide modelling approach applied to the Australian wheatbelt spatial and temporal trends. New Phytologist, 198 (3), 801-820. doi: 10.1111/nph.12192

Nguyen, Chuc T., Singh, Vijaya, van Oosterom, Erik J., Chapman, Scott C., Jordan, David R. and Hammer, Graeme L. (2013). Genetic variability in high temperature effects on seed-set in sorghum. Functional Plant Biology, 40 (5), 439-448. doi: 10.1071/FP12264

Bourgault, Maryse, Dreccer, M. Fernanda, James, Andrew T. and Chapman, Scott C. (2013). Genotypic variability in the response to elevated CO2 of wheat lines differing in adaptive traits. Functional Plant Biology, 40 (2), 172-184. doi: 10.1071/FP12193

Dreccer, M. Fernanda, Chapman, Scott C., Rattey, Allan R., Neal, Jodi, Song, Youhong, Christopher, John (Jack) T. and Reynolds, Matthew (2013). Developmental and growth controls of tillering and water-soluble carbohydrate accumulation in contrasting wheat (Triticum aestivum L.) genotypes: can we dissect them?. Journal of Experimental Botany, 64 (1), 143-160. doi: 10.1093/jxb/ers317

Zheng, Bangyou, Chenu, Karine, Dreccer, M. Fernanda and Chapman, Scott C. (2012). Breeding for the future: what are the potential impacts of future frost and heat events on sowing and flowering time requirements for Australian bread wheat (Triticum aestivium) varieties?. Global Change Biology, 18 (9), 2899-2914. doi: 10.1111/j.1365-2486.2012.02724.x

Mitchell, J.H., Chapman, S.C., Rebetzke, G.J., Bonnett, D.G. and Fukai, S. (2012). Evaluation of a reduced-tillering (tin) gene in wheat lines grown across different production environments. Crop and Pasture Science, 63 (2), 128-141. doi: 10.1071/CP11260

Rattey, A. R., Shorter, R. and Chapman, S. C. (2011). Evaluation of CIMMYT conventional and synthetic spring wheat germplasm in rainfed sub-tropical environments. II. Grain yield components and physiological traits. Field Crops Research, 124 (2), 195-204. doi: 10.1016/j.fcr.2011.02.006

Chenu, K., Cooper, M., Hammer, G. L., Mathews, K. L., Dreccer, M. F. and Chapman, S. C. (2011). Environment characterization as an aid to wheat improvement: Interpreting genotype-environment interactions by modelling water-deficit patterns in north-eastern Australia. Journal of Experimental Botany, 62 (6), 1743-1755. doi: 10.1093/jxb/erq459

Li, Cun-Dong, Bai, Zhi-Ying, Ye, G., Miyagi, M., Chapman, S., Reader, S. M. and Liu, Chun-Ji (2011). The chromosomal control of leaf characteristics of early-stage plants in wheat (Triticum aestivum L.). Agricultural Sciences in China, 10 (2), 159-165. doi: 10.1016/S1671-2927(09)60302-3

Mathews, Ky L., Trethowan, Richard, Milgate, Andrew W., Payne, Thomas, van Ginkel, Maarten, Crossa, Jose, DeLacy, Ian, Cooper, Mark and Chapman, Scott C. (2011). Indirect selection using reference and probe genotype performance in multi-environment trials. Crop and Pasture Science, 62 (4), 313-327. doi: 10.1071/CP10318

Massignam, A. M., Chapman, S. C., Hammer, G. L. and Fukai, S. (2011). Effects of nitrogen supply on canopy development of maize and sunflower. Crop and Pasture Science, 62 (12), 1045-1055. doi: 10.1071/CP11165

Reynolds, Matthew, Bonnett, David, Chapman, Scott C., Furbank, Robert T., Manés, Yann, Mather, Diane E. and Parry, Martin A. J. (2011). Raising yield potential of wheat. I. overview of a consortium approach and breeding strategies. Journal of Experimental Botany, 62 (2), 439-452. doi: 10.1093/jxb/erq311

Pinto, R. Suzuky, Reynolds, Matthew P., Mathews, Ky L., McIntyre, C. Lynne, Olivares-Villegas, Juan-Jose and Chapman, Scott C. (2010). Heat and drought adaptive QTL in a wheat population designed to minimize confounding agronomic effects. Theoretical and Applied Genetics, 121 (6), 1001-1021. doi: 10.1007/s00122-010-1351-4

Hammer, Graeme L., van Oosterom, Erik, McLean, Greg, Chapman, Scott C., Broad, Ian, Harland, Peter and Muchow, Russell C. (2010). Adapting APSIM to model the physiology and genetics of complex adaptive traits in field crops. Journal of Experimental Botany, 61 (8), 2185-2202. doi: 10.1093/jxb/erq095

van Eeuwijk, Fred A., Bink, Marco C.A.M., Chenu, Karine and Chapman, Scott C. (2010). Detection and use of QTL for complex traits in multiple environments. Current Opinion in Plant Biology, 13 (2), 193-205. doi: 10.1016/j.pbi.2010.01.001

de la Vega, Abelardo J. and Chapman, Scott C. (2010). Mega-Environment differences affecting genetic progress for yield and relative value of component traits. Crop Science, 50 (2), 574-583. doi: 10.2135/cropsci2009.04.0209

Van Oosterom, EJ, Chapman, SC, Borrell, AK, Broad, IJ and Hammer, GL (2010). Functional dynamics of the nitrogen balance of sorghum. II. Grain filling period. Field Crops Research, 115 (1), 29-38. doi: 10.1016/j.fcr.2009.09.019

McIntyre, C.Lynne, Mathews, Ky L., Rattey, Allan, Chapman, Scott C., Drenth, Janneke, Ghaderi, Mohammadghader, Reynolds, Matthew and Shorter, Ray (2010). Molecular detection of genomic regions associated with grain yield and yield-related components in an elite bread wheat cross evaluated under irrigated and rainfed conditions. Theoretical and Applied Genetics, 120 (3), 527-541. doi: 10.1007/s00122-009-1173-4

Chenu, Karine, Chapman, Scott C., Tardieu, Francois, McLean, Greg, Welcker, Claude and Hammer, Graeme L. (2009). Simulating the yield impacts of organ-level quantitative trait loci associated with drought response in maize: A "gene-to-phenotype" modeling approach. Genetics, 183 (4), 1507-1523. doi: 10.1534/genetics.109.105429

Meinke, Holger, Howden, S. Mark, Struik, Paul C., Nelson, Rohan, Rodriguez, Daniel and Chapman, Scott C. (2009). Adaptation science for agriculture and natural resource management - urgency and theoretical basis. Current Opinion in Environmental Sustainability, 1 (1), 69-76. doi: 10.1016/j.cosust.2009.07.007

Massignam, A.M., Chapman, S.C., Hammer, G.L. and Fukai, S. (2009). Physiological determinants of maize and sunflower grain yield as affected by nitrogen supply. Field Crops Research, 113 (3), 256-267. doi: 10.1016/j.fcr.2009.06.001

Rattey, A, Shorter, R, Chapman, S, Dreccer, F and van Herwaarden, A (2009). Variation for and relationships among biomass and grain yield component traits conferring improved yield and grain weight in an elite wheat population grown in variable yield environments. CROP & PASTURE SCIENCE, 60 (8), 717-729. doi: 10.1071/CP08460

Wang, Jiankang, Chapman, Scott C., Bonnett, David G. and Rebetzke, Greg J. (2009). Simultaneous selection of major and minor genes: Use of QTL to increase selection efficiency of coleoptile length of wheat (Triticum aestivum L.). Theoretical and Applied Genetics, 119 (1), 65-74. doi: 10.1007/s00122-009-1017-2

Dreccer, M. Fernanda, van Herwaarden, Anthony F. and Chapman, Scott C. (2009). Grain number and grain weight in wheat lines contrasting for stem water soluble carbohydrate concentration. Field Crops Research, 112 (1), 43-54. doi: 10.1016/j.fcr.2009.02.006

Mathews, Ky L., Malosetti, Marcos, Chapman, Scott, McIntyre, Lynne, Reynolds, Matthew, Shorter, Ray and Van Eeuwijk, Fred (2008). Multi-environment QTL mixed models for drought stress adaptation in wheat. Theoretical and Applied Genetics, 117 (7), 1077-1091. doi: 10.1007/s00122-008-0846-8

Ritter, KB, Jordan, DR, Chapman, SC, Godwin, ID, Mace, ES and McIntyre, CL (2008). Identification of QTL for sugar-related traits in a sweet x grain sorghum (Sorghum bicolor L. Moench) recombinant inbred population. Molecular Breeding, 22 (3), 367-384. doi: 10.1007/s11032-008-9182-6

Heinemann, Alexandre Bryan, Dingkuhn, Michael, Luquet, Delphine, Combres, Jean Claude and Chapman, Scott (2008). Characterization of drought stress environments for upland rice and maize in central Brazil. Euphytica, 162 (3), 395-410. doi: 10.1007/s10681-007-9579-z

Chapman, Scott C. (2008). Use of crop models to understand genotype by environment interactions for drought in real-world and simulated plant breeding trials. Euphytica, 161 (1-2), 195-208. doi: 10.1007/s10681-007-9623-z

Chenu, Karine, Chapman, Scott C., Hammer, Graeme L., McLean, Gregg, Salah, Halim Ben Haj, Tardieu, Francois and Mott, Keith (2008). Short-term responses of leaf growth rate to water deficit scale up to whole-plant and crop levels: an integrated modelling approach in maize. Plant, Cell and Environment, 31 (3), 378-391. doi: 10.1111/j.1365-3040.2007.01772.x

Wang, Jiankang, Chapman, Scott C., Bonnett, David G., Rebetzke, Greg J. and Crouch, Jonathan (2007). Application of population genetic theory and simulation models to efficiently pyramid multiple genes via marker-assisted selection. Crop Science, 47 (2), 582-590. doi: 10.2135/cropsci2006.05.0341

Ritter, KB, McIntyre, CL, Godwin, ID, Jordan, DR and Chapman, SC (2007). An assessment of the genetic relationship between sweet and grain sorghums, within Sorghum bicolor ssp bicolor (L.) Moench, using AFLP markers. Euphytica, 157 (1-2), 161-176. doi: 10.1007/s10681-007-9408-4

Mathews, K. L., Chapman, S. C., Trethowan, R., Pfeiffer, W., van Ginkel, M., Crossa, J., Payne, T., DeLacy, I., Fox, P. N. and Cooper, M. (2007). Global adaptation patterns of Australian and CIMMYT spring bread wheat. Theoretical And Applied Genetics, 115 (6), 819-835. doi: 10.1007/s00122-007-0611-4

de la Vega, A. J., DeLacy, I. H. and Chapman, S. C. (2007). Progress over 20 years of sunflower breeding in central Argentina. Field Crops Research, 100 (1), 61-72. doi: 10.1016/j.fcr.2006.05.012

de la Vega, A. J., DeLacy, I. H. and Chapman, S. C. (2007). Changes in agronomic traits of sunflower hybrids over 20 years of breeding in central Argentina. Field Crops Research, 100 (1), 73-81. doi: 10.1016/j.fcr.2006.05.007

Hammer, G. L., Cooper, M., Tardieu, F., Welch, S., Walsh, B., van Eeuwijk, A., Chapman, S. C. and Podlich, D. (2006). Models for navigating biological complexity in breeding improved crop plants. Trends in Plant Science, 11 (12), 587-593. doi: 10.1016/j.tplants.2006.10.006

Xue, Gang-Ping, McIntyre, C. Lynne, Chapman, Scott, Bower, Neil I., Way, Heather, Reverter, Antonio, Clarke, Bryan and Shorter, Ray (2006). Differential gene expression of wheat progeny with contrasting levels of transpiration efficiency. Plant Molecular Biology, 61 (6), 863-881. doi: 10.1007/s11103-006-0055-2

De La Vega, Abelardo J. and Chapman, Scott C. (2006). Multivariate analyses to display interactions between environment and general or specific combining ability in hybrid crops. Crop Science, 46 (2), 957-967. doi: 10.2135/cropsci2005.08-0287

De La Vega, Abelardo J. and Chapman, Scott C. (2006). Defining sunflower selection strategies for a highly heterogeneous target population of environments. Crop Science, 46 (1), 136-144. doi: 10.2135/cropsci2005.0170

Mathews, Ky L., Chapman, Scott C., Trethowan, Richard, Singh, Ravi P., Crossa, Jose, Pfeiffer, Wolfgang, van Ginkel, Maarten and DeLacy, Ian (2006). Global adaptation of spring bread and durum wheat lines near-isogenic for major reduced height genes. Crop Science, 46 (2), 603-613. doi: 10.2135/cropsci2005.05-0056

Way, Heather, Chapman, Scott, McIntyre, Lynne, Casu, Rosanne, Xue, Gang Ping, Manners, John and Shorter, Ray (2005). Identification of differentially expressed genes in wheat undergoing gradual water deficit stress using a subtractive hybridisation approach. Plant Science, 168 (3), 661-670. doi: 10.1016/j.plantsci.2004.09.027

Humphry, M. E., Lambrides, C. J., Chapman, S. C., Aitken, E. A. B., Imrie, B. C., Lawn, R. J., McIntyre, C. L. and Liu, C. J. (2005). Relationships between hard-seededness and seed weight in mungbean (Vigna radiata) assessed by QTL analysis. Plant Breeding, 124 (3), 292-298. doi: 10.1111/j.1439-0523.2005.01084.x

Bower, Neil I., Casu, Rosanne E., Maclean, Donald J., Reverter, Antonio, Chapman, Scott C. and Manners, John M. (2005). Transcriptional response of sugarcane roots to methyl jasmonate. Plant Science, 168 (3), 761-772. doi: 10.1016/j.plantsci.2004.10.006

Hammer, G. L., Chapman, S. C., Van Oosterom, E. J. and Podlich, D. W. (2005). Trait physiology and crop modelling as a framework to link phenotypic complexity to underlying genetic systems. Australian Journal of Agricultural Research, 56 (9), 947-960. doi: 10.1071/AR05157

Lambrides, C. J., Chapman, S. C. and Shorter, R. (2004). Genetic variation for carbon isotope discrimination in sunflower: Association with transpiration efficiency and evidence for cytoplasmic inheritance. Crop Science, 44 (5), 1642-1653. doi: 10.2135/cropsci2004.1642

Hammer, Graeme L., Sinclair, Thomas R., Chapman, Scott C. and van Oosterom, Erik (2004). On systems thinking, systems biology and the in Silico Plant. Plant Physiology, 134 (3), 909-911. doi: 10.1104/pp.103.034827

Casu, Rosanne E., Dimmock, Christine M., Chapman, Scott C., Grof, Christopher P.L., McIntyre, C. Lynne, Bonnett, Graham D. and Manners, John M. (2004). Identification of differentially expressed transcripts from maturing stem of sugarcane by in silico analysis of stem expressed sequence tags and gene expression profiling. Plant Molecular Biology, 54 (4), 503-517. doi: 10.1023/B:PLAN.0000038255.96128.41

Keating, BA, Carberry, PS, Hammer, GL, Probert, ME, Robertson, MJ, Holzworth, D, Huth, NI, Hargreaves, JNG, Meinke, H, Hochman, Z, McLean, G, Verburg, K, Snow, V, Dimes, JP, Silburn, M, Wang, E, Brown, S, Bristow, KL, Asseng, S, Chapman, S, McCown, RL, Freebairn, DM and Smith, CJ (2003). An overview of APSIM, a model designed for farming systems simulation. European Journal of Agronomy, 18 (3-4), 267-288. doi: 10.1016/S1161-0301(02)00108-9

Klok, Erik Jan, Wilson, Iain W., Wilson, Dale, Chapman, Scott C., Ewing, Rob M., Somerville, Shauna C., James Peacock, W., Dolferus, Rudy and Dennis, Elizabeth S. (2002). Expression profile analysis of the low-oxygen response in arabidopsis root cultures. Plant Cell, 14 (10), 2481-2494. doi: 10.1105/tpc.004747

Chapman, Scott, Schenk, Peer, Kazan, Kemal and Manners, John (2002). Using biplots to interpret gene expression patterns in plants. Bioinformatics, 18 (1), 202-204. doi: 10.1093/bioinformatics/18.1.202

Singh, G., Chapman, Scott C., Jackson, P. A. and Lawn, R. J. (2002). Lodging reduces sucrose accumulation of sugarcane in the wet and dry tropics. Australian Journal of Agricultural Research, 53 (11), 1183-1195. doi: 10.1071/AR02044

Chapman, Scott C. and De la Vega, Abelardo J. (2002). Spatial and seasonal effects confounding interpretation of sunflower yields in Argentina. Field Crops Research, 73 (2-3), 107-120. doi: 10.1016/S0378-4290(01)00185-X

Chapman, S. C., Cooper, M. and Hammer, G. L. (2002). Using crop simulation to generate genotype by environment interaction effects for sorghum in water-limited environments. Australian Journal of Agricultural Research, 53 (4), 379-389. doi: 10.1071/AR01070

De La Vega, Abelardo J, Chapman, Scott C and Hall, Antonio J (2001). Genotype by environment interaction and indirect selection for yield in sunflower: I. Two-mode pattern analysis of oil and biomass yield across environments in Argentina. Field Crops Research, 72 (1), 17-38. doi: 10.1016/S0378-4290(01)00162-9

De La Vega, Abelardo J and Chapman, Scott C (2001). Genotype by environment interaction and indirect selection for yield in sunflower: II. Three-mode principal component analysis of oil and biomass yield across environments in Argentina. Field Crops Research, 72 (1), 39-50. doi: 10.1016/S0378-4290(01)00163-0

Chapman, S. C., Cooper, M., Hammer, G. L. and Butler, D. G. (2000). Genotype by environment interactions affecting grain sorghum. II. Frequencies of different seasonal patterns of drought stress are related to location effects on hybrid yields. Australian Journal of Agricultural Research, 51 (2), 209-221. doi: 10.1071/AR99021

Chapman, SC, Hammer, GL, Butler, DG and Cooper, M (2000). Genotype by environment interactions affecting grain sorghum. III. Temporal sequences and spatial patterns in the target population of environments. Australian Journal of Agricultural Research, 51 (2), 223-233. doi: 10.1071/AR99022

Chapman, S. C., Cooper, M., Butler, D. G. and Henzell, R. G. (2000). Genotype by environment interactions affecting grain sorghum. I. Characteristics that confound interpretation of hybrid yield. Australian Journal of Agricultural Research, 51 (2), 197-207. doi: 10.1071/AR99020

Edmeades, G. O., Bolaños, J., Chapman, S. C., Lafitte, H. R. and Bänziger, M. (1999). Selection improves drought tolerance in tropical maize populations: I. Gains in biomass, grain yield, harvest index. Crop Science, 39 (5), 1306-1315.

Chapman, S. C. and Edmeades, G. O. (1999). Selection improves drought tolerance in tropical maize populations: II. Direct and correlated responses among secondary traits. Crop Science, 39 (5), 1315-1324.

Henzell, R. G., Hammer, G. L., Borrell, A. K., McIntyre, C. L. and Chapman, S. C. (1997). Research on drought resistance in grain sorghum in Australia. International Sorghum and Millets Newsletter, 38, 1-9.

Chapman, Scott C., Crossa, José, Basford, Kaye E. and Kroonenberg, Pieter M. (1997). Genotype by environment effects and selection for drought tolerance in tropical maize. II. Three-mode pattern analysis. Euphytica, 95 (1), 11-20. doi: 10.1023/A:1002922527795

Chapman, Scott C., Crossa, José and Edmeades, Gregory O. (1997). Genotype by environment effects and selection for drought tolerance in tropical maize. I. Two mode pattern analysis of yield. Euphytica, 95 (1), 1-9.

Chapman, Scott C. and Barreto, Hector J. (1997). Using a chlorophyll meter to estimate specific leaf nitrogen of tropical maize during vegetative growth. Agronomy Journal, 89 (4), 557-562. doi: 10.2134/agronj1997.00021962008900040004x

Bell, M. A., Lafitte, H. R., Edmeades, G. O. and Chapman, S. C. (1995). Reversing yield declines of a subtropical vertisol. Communications in Soil Science and Plant Analysis, 26 (7-8), 1105-1119. doi: 10.1080/00103629509369358

Chapman, S.C., Hammer, G.L. and Palta, J.A. (1993). Predicting leaf area development of sunflower. Field Crops Research, 34 (1), 101-112. doi: 10.1016/0378-4290(93)90114-3

Meinke, Holger, Hammer, Graeme L. and Chapman, Scott C. (1993). A sunflower simulation model: II. Simulating production risks in a variable sub-tropical environment. Agronomy Journal, 85 (3), 735-742. doi: 10.2134/agronj1993.00021962008500030039x

Chapman, S.C., Hammer, G.L. and Meinke, H. (1993). A sunflower simulation model: I. Model development. Agronomy Journal, 85 (3), 725-735. doi: 10.2134/agronj1993.00021962008500030038x

S.C.Chapman S.C.ChapmanS.C.Chapman S.ChapmanS. C.https://api.elsevier.com/content/author/author_id/7403044017 (1993). Effect of drought during early reproductive development on growth of cultivars of groundnut (Arachis hypogaea L.). I. Utilization of radiation and water during drought. Field Crops Research, 32 (3-4), 193-210. doi: 10.1016/0378-4290(93)90031-H

S.C.Chapman S.C.ChapmanS.C.Chapman S.ChapmanS. C.https://api.elsevier.com/content/author/author_id/7403044017 (1993). Effect of drought during early reproductive development on growth of cultivars of groundnut (Arachis hypogaea L.). II. Biomass production, pod development and yield. Field Crops Research, 32 (3-4), 211-225. doi: 10.1016/0378-4290(93)90032-I

Chapman, S. C., Ludlow, M. M. and Blamey, F. P.C. (1993). Effect of drought during early reproductive development on the dynamics of yield development of cultivars of groundnut (Arachis hypogaea L.). Field Crops Research, 32 (3-4), 227-242. doi: 10.1016/0378-4290(93)90033-J

Chapman, S. C., Ludlow, M. M., Blamey, F. P C and Fischer, K. S. (1993). Effect of drought during pod filling on utilization of water and on growth of cultivars of groundnut (Arachis hypogaea L.). Field Crops Research, 32 (3-4), 243-255. doi: 10.1016/0378-4290(93)90034-K

Chapman S.C. and Fischer K.S. (1988). Osmotic adjustment in Sorghum bicolor (L. Moench) grown under moisture stress in soil and osmotically modified solution cultures. Plant and Soil, 107 (1), 57-62. doi: 10.1007/BF02371544

Devoto, F., Reynolds-Massey-Reed, S., Segura, Pinzon C., Bell, M., Mclaren, T., Awale, R., Camino, C., Bange, M., Woodgate, W., Chapman, S. and Potgieter, A. B. (2024). Insights in the ability of high-resolution narrow band multispectral and thermal sensors to estimate cotton production in Australia. 2024 IEEE International Geoscience and Remote Sensing Symposium, Athens, Greece, 7-12 July 2024. Piscataway, NJ, United States: IEEE. doi: 10.1109/igarss53475.2024.10642663

Du, Heming, Huang, Zi, Chapman, Scott and Yu, Xin (2023). Toward a unified framework for RGB and RGB-D visual navigation. 36th Australasian Joint Conference on Artificial Intelligence, AJCAI 2023, Brisbane, QLD Australia, 28 November –1 December 2023. Singapore: Springer. doi: 10.1007/978-981-99-8391-9_29

Potgieter, A. B., Camino, C., Poblete, T., Zhi, X., Reynolds-Massey-Reed, S., Zhao, Y., Belwalkar, A., Ruizhu, J., George-Jaeggli, B., Chapman, S., Jordan, D., Wu, A., Hammer, G. L. and J, Zarco-Tejada P. (2023). Advances in the study of biochemical, morphological and physiological traits of wheat and sorghum crops in australia using hyperspectral data and machine learning. 2023 IEEE International Geoscience and Remote Sensing Symposium, Pasadena, CA USA, 16-21 July 2023. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/igarss52108.2023.10282230

Geetika, Geetika, Borrell, Andrew, Thornton, Erin, Hunt, Colleen, Chapman, Scott, Philp, Trevor, Fekybelu, Solomon, Potgieter, Andries, Godwin, Ian, Hammer, Graeme, Mace, Emma and Jordan, David (2023). Evaluating variation in stem strength in response to artificial drought stress amongst sorghum genotypes. Global Sorghum Conference Sorghum in the 21st Century, Montpellier, France, 5-9 June 2023.

Geetika, Geetika, Borrell, Andrew, Thornton, Erin, Reed, Sean, Hunt, Colleen, Chapman, Scott, Philp, Trevor, Fekybelu, Solomon, Potgieter, Andries, Godwin, Ian, Hammer, Graeme, Mace, Emma and Jordan, David (2023). Evaluating variation in stem strength in response to artificial drought stress amongst sorghum genotypes. Australian Summer Grains Conference, Gold Coast, QLD Australia, 13-15 March 2023.

Smith, Millicent, Van Haeften, Shanice, Dudley, Caitlin, Kohl, Theresa, Douglas, Colin, Ryan, Merrill, Potgieter, Andries, Chapman, Scott, Robinson, Hannah, Dinglasan, Eric and Hickey, Lee (2023). Physiological insight to improve mungbean productivity. Australian Summer Grains Conference, Gold Coast, QLD Australia, 13-15 March 2023.

Van Haeften, Shanice, Kang, Yichen, Douglas, Colin, Dudley, Caitlin, Ryan, Merrill, Smith, Millicent, Chapman, Scott, Robinson, Hannah, Potgieter, Andries and Hickey, Lee (2023). Understanding the genetics of mungbean senescence behaviour using longitudinal UAV data. Australian Summer Grains Conference, Gold Coast, QLD Australia, 13-15 March 2023.

Smith, Millicent, Campbell, Bradley, Restall, Jemma, Chapman, Scott, Godwin, Ian, Sukal, Amit and Guzzon, Filippo (2022). Phenotyping innovations to develop climate resilient taro. TropAg International Agriculture Conference, Brisbane, QLD, Australia, 31 October - 2 November 2022.

Van Haeften, Shanice, Kang, Yichen, Douglas, Colin, Dudley, Caitlin, Ryan, Merrill, Smith, Millicent, Chapman, Scott, Robinson, Hannah, Potgieter, Andries and Hickey, Lee (2022). Understanding the genetics of mungbean canopy development using longitudinal UAV data. International Plant Phenotyping Symposium, Wageningen, Netherlands, 27-30 September 2022.

Smith, Millicent, Campbell, Bradley, Restall, Jemma, Dudley, Caitlin, Van Haeften, Shanice, Godwin, Ian, Chapman, Scott, Sukal, Amit, Robinson, Hannah, Ryan, Merrill, Potgieter, Andries and Hickey, Lee (2022). Phenotyping innovations to harness genetic diversity for climate resilience. International Plant Phenotyping Symposium, Wageningen, Netherlands, 27-30 September 2022.

Chen, Qiaomin, Zheng, Bangyou, Chen, Tong and Chapman, Scott (2022). Integrating APSIM and PROSAIL to improve prediction of crop traits in various situations from hyperspectral data using deep learning. 20th Agronomy Australia Conference, Toowoomba, QLD, Australia, 18-22 September 2022. Willow Grove, VIC Australia: Australian Society of Agronomy.

Ramakers, Jip, Bustos-Korts, Daniela, Hemerik, Jesse, Boer, Martin, Grunefeld, Swaantje, Hu, Pengcheng, Arief, Vivi, van Eeuwijk, Fred and Chapman, Scott (2022). Analysis of longitudinal, image-based canopy cover estimates as a quality indicator in wheat variety trials. XVIIIth Eucarpia Biometrics in Plant Breeding Conference, Gif-sur-Yvette, France, 21-23 September 2022.

Chapman, Scott, Noviati, Vivi, Hu, Pengcheng, McLaren, Connar, Smith, Daniel, Choudhury, Malini, Chen, Zhi, Grunfeld, Swaantje, Zheng, Bangyou, van Eeuwijk, Fred, Bustos-Korts, Daniela, Boer, Martin, Hemerik, Jesse and Ramakers, Jip (2022). Integration of data across scales to predict genotype performance in National Variety Trials. Australasian Plant Breeding Conference, Gold Coast, QLD Australia, 9-11 May 2022.

Das, Sumanta, Massey-Reed, Sean Reynolds, Mahuika, Jenny, Watson, James, Cordova, Celso, Otto, Loren, Zhao, Yan, Chapman, Scott, George-Jaeggli, Barbara, Jordan, David, Hammer, Graeme L. and Potgieter, Andries B. (2022). A high-throughput phenotyping pipeline for rapid evaluation of morphological and physiological crop traits across large fields. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia, 17-22 July 2022. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers . doi: 10.1109/IGARSS46834.2022.9884530

Nguyen, Dung, Zhao, Yan, Zhang, Yifan, Huynh, Anh Ngoc-Lan, Roosta, Fred, Hammer, Graeme, Chapman, Scott and Potgieter, Andries (2022). Crop type prediction utilising a long short-term memory with a self-attention for winter crops in Australia. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia, 17-22 July 2022. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/IGARSS46834.2022.9883737

James, Chrisbin, Gu, Yanyang, Chapman, Scott, Guo, Wei, David, Etienne, Madec, Simon, Potgieter, Andries and Eriksson, Anders (2021). Domain adaptation for plant organ detection with style transfer. International Conference on Digital Image Computing - Techniques and Applications (DICTA), Online, 29 November - 1 December 2021. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/DICTA52665.2021.9647293

Das, Sumanta, Christopher, Jack, Apan, Armando, Roy Choudhury, Malini, Chapman, Scott, Menzies, Neal W. and Dang, Yash P. (2020). UAV-thermal imaging: A robust technology to evaluate in-field crop water stress and yield variation of wheat genotypes. IEEE India Geoscience and Remote Sensing Symposium (InGARSS), Ahmedabad, India, 1-4 December 2020. Piscataway, NJ, United States: IEEE. doi: 10.1109/ingarss48198.2020.9358955

Choudhury, 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

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.

Zheng, Bangyou, Dreccer, F., Ababaei, Behnam, Chapman, S., Zhao, Z., Wang, E. and Chenu, Karine (2019). Assessment of traits related with water productivity in the Australian wheatbelt using an improved version of the APSIM-Wheat model. Wheat Breeding Assembly 2019, Adelaide, SA Australia, 20 – 22 August 2019.

Chenu, 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.

Zheng, 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.

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.

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.

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.

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.

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.

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

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

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.

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.

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.

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.

Chenu, K., Watson, J., Zheng, B., Christopher, J. and Chapman, S. (2017). Interdrought-V. Interdrought-V, Hyderabad, India, 21-25 February 2017.

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.

George-Jaeggli, Barbara, Potgieter, Andries, Chapman, Scott, Watson, James, Eldridge, Mark, Laws, Ken, George, Peter, Borrell, Andrew, Hammer, Graeme and Jordan, David (2017). Field phenotyping for photosynthetic traits in sorghum. TropAg2017, Convention and exhibition centre, Brisbane, QLD, Australia, 20-22 November 2017.

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.

Chenu, K., Zheng, B., Watson, J., Lobell, D. and Chapman, S. (2016). Heat, frost and drought – what are the trends?. International Crop Modelling Symposium, Berlin, Germany, 15-17 March 2016.

Hammer, G., Chapman, S., Van Oosterom, E., Borrell, A., McLean, G. and Jordan, D. (2016). Integrating crop physiology and modelling with genetic improvement. International Crop Modelling Symposium, Berlin, Germany, 15-17 March 2016.

Zheng, B., Chenu, K., Dreccer, F., Duan, T., Rebetzke, G., Guo, Y. and Chapman, S. (2016). Improvement of the model capacity and assessment traits related with water use efficiency for wheat in Australia. 7th International Crop Science Congress, Beijing, China, 14-19 August 2016. Chinese Academy of Agricultural Sciences.

Potgieter, Andries, Watson, James, Jordan, David, Hammer, Graeme, Chapman, Scott, Laws, Kenneth, McLean, Greg, Barbara George-Jaeggli, Holland, Edward and Eldridge, Mark (2016). Field phenotyping of sorghum breeding plots through proximal sensing. 5th International Controlled Environment Conference (AusPheno 2016), ANU, 18-23 September, 2016.

Chenu, Karine, Chapman, Scott, Tardieu, Francois, Casadebaig, Pierre, Christopher, Jack and Hammer, Graeme (2016). Bottom-up and top-down approaches – The value of modelling in trait dissection and phenotypic prediction. Hortimodel 2016, Avignon, France, 19-22 September 2016.

van Eeuwijk, Fred A., Bustos-Korts, Daniela V., Malosetti, Marcos, Boer, Martin P., Chenu, Karine and Chapman, Scott C. (2016). Will high throughput phenotyping and genotyping techniques help us to better predict GxE interactions? Some considerations from statistics and crop growth modelling. 4th International Plant Phenotyping Symposium, El Batán, Texcoco, Mexico, 13-15 December 2016. Mexico: CIMMYT.

Bustos-Korts, Daniela V., Malosetti, Marcos, Boer, Martin P., Chapman, Scott C., Chenu, Karine and van Eeuwijk Fred A. (2016). Using high-throughput phenotyping to improve accuracy in genomic prediction. 4th International Plant Phenotyping Symposium, El Batán, Texcoco, Mexico, 13-15 December 2016. Mexico: CIMMYT.

Zheng, Bangyou, Chapman, Scott, Christopher, Jack, Frederiks, Troy and Chenu, Karine (2015). Predicting heading date and frost impact in wheat across Australia. 17th Australian Agronomy Conference, Hobart, Australia, 20-24 September 2015. Warragul, VIC Australia: Australian Society of Agronomy.

Watson, James, Zheng, Bangyou, Chapman, Scott C. and Chenu, Karine (2015). Projected impact of future climate on drought patterns in complex rainfed environments. Agriculture and Climate Change: Adapting Crops to Increased Uncertainty, Amsterdam, Netherlands, 15-17 February 2015.

Watson, James, Zheng, Bangyou, Chapman, Scott C. and Chenu, Karine (2015). Impact of projected climates on drought occurrence in the Australian wheatbelt. 17th Australian Agronomy Conference, Hobart, Australia, 20-24 September 2015. Warragul, VIC Australia: Australian Society of Agronomy.

Watson, James, Zheng, Bangyou, Chapman, Scott C. and Chenu, Karine (2015). Projected impact of future climate on drought patterns in complex rainfed environments. Agriculture and Climate Change - Adapting Crops to Increased Uncertainty (AGRI 2015), Amsterdam, Netherlands, 15-17 February 2015. Amsterdam, Netherlands: Elsevier. doi: 10.1016/j.proenv.2015.07.255

Zheng, Bangyou, Chapman, Scott, Christopher, Jack, Frederiks, Troy and Chenu, Karine (2015). Frost trends and their estimated impact on yield in the Australian wheatbelt. Agriculture and Climate Change - Adapting Crops to Increased Uncertainty (AGRI 2015), Amsterdam, Netherlands, 15-17 February 2015. Amsterdam, Netherlands: Elsevier. doi: 10.1016/j.proenv.2015.07.244

Chenu, Karine, Zheng, Bangyou and Chapman, Scott (2014). Breeding for the future: How to adapt to potential impacts of future frost, drought and heat events on Australian wheat?. Breeding Plants to Cope with Future Climate Change, Leeds, United Kingdom, 16-18 June 2014.

Jordan, D., Mace, E., Borrell, A., Cruickshank, A., Chapman, S., van Oosterom, E. and Hammer, G. (2013). An Integrated Approach to Sorghum Crop Improvement in Australia. 4th International Conference on Integrated Approaches to Improve Crop Production under Drought-Prone Environments (InterDrought-IV), Perth, WA, Australia, 2 - 6 September 2013.

Chenu, Karine, Doherty, Al, Rebetzke, Greg J. and Chapman, Scott C. (2013). StressMaster: a web application for dynamic modelling of the environment to assist in crop improvement for drought adaptation. 7th International Conference on Functional-Structural Plant Models, Saariselkä, Finland, 9-14 June, 2013. Helsinki, Finland: MELTA.

Nguyen, Chuc Thi, Singh, Vijaya, van Oosterom, Erik, Jordan, David, Chapman, Scott and Hammer, Graeme (2012). High temperature effects on development and floret sterility of diverse sorghum lines. 16th Australian Agronomy Conference, Armidale, NSW, Australia, 14-18 October 2012. Armidale, NSW, Australia: Australian Society of Agronomy.

Chenu, Karine, Hammer, Graeme and Chapman, Scott (2012). Modelling genotype and environment effects to aid crop improvement. 6th International Crop Science Congress (ICSC), 6-12 August 2012, Bento Goncalves, Brazil.

Chenu, Karine, Hammer, Graeme, van Oosterom, Erik, Christopher, Jack, McLean, Greg, Doherty, Al and Chapman, Scott (2012). Modelling crop physiology and genetics to simulate Genotype x Management x Environment (GxMxE) interactions. APSIM Users and Developers Forum, Canberra, Australia, 14 March 2012.

Chenu, K. and Chapman, S. C. (2012). Large-scale characterization of drought pattern: current and future trends in the Australian wheatbelt. 6th International Crop Science Congress (ICSC), Bento Goncalves, Brazil, 6-12 August 2012.

Chenu, K., Oudin, F., Chapman, S. C., Dreccer, M. F. and Hammer, G. L. (2012). How high temperature affects wheat growth and development. 6th International Crop Science Congress (ICSC), Bento Goncalves, Brazil, 6-12 August 2012.

Chapman, Scott C., Chakraborty, Sukumar, Dreccer, M. Fernanda and Howden, S. Mark (2012). Plant adaptation to climate change-opportunities and priorities in breeding. Inaugural Climate Change Research Strategy for Primary Industries Conference 2011 (CCRSPI 2011), Melbourne, Australia, 14–17 February 2011. Collingwood, Vic., Australia: CSIRO Publishing. doi: 10.1071/CP11303

Chenu, Karine and Chapman, Scott (2012). Drought experienced by Australian wheat: current and future trends. 16th Australian Agronomy Conference, Armidale, NSW, Australia, 14-18 October 2012. Armidale, NSW, Australia: Australian Society of Agronomy.

Chenu, Karine, Chapman, Scott, Wockner, Kimberly, Liu, Wenjie, Miralles, Daniel and Dreccer, M. (2012). Grain number and the response to increasing temperatures in wheat. ASA, CSSA and SSSA Annual Meeting, Cincinnati, OH, United States, 21-24 October 2012.

Chenu, Karine, Chapman, Scott, Tardieu, Francois, McLean, Greg, Welcker, Claude and Hammer, Graeme L. (2011). Revealing the yield impacts of organ-level quantitative trait loci associated with drought response in maize – a gene-to phenotype modelling approach. XVIII International Botanical Congress, Melbourne, Australia, 23-30 July 2011.

Chenu, K., Deihimfard, R., Hammer, G. L., Doherty, A. and Chapman, S. C. (2011). Characterisation of drought patterns across the Australian Wheat Belt. Wheat Breeding Assembly, Perth, Australia, 24-26 August 2011.

Wockner, K. B., Chenu, K., Oudin, F., Chapman, S. C. and Dreccer, M. F. (2011). Wheat response to increasing temperatures: The role of genetic variability. Wheat Breeding Assembly, Perth, Australia, 24-26 August 2011.

Zheng, B., Chenu, K., Dreccer, M. F. and Chapman, S. C. (2011). Frost and heat limits to the wheat flowering ‘window’ in present and future climates. Wheat Breeding Assembly, Perth, Australia, 24-26 August 2011.

Merz, Torsten and Chapman, Scott (2011). Autonomous unmanned helicopter system for remote sensing missions in unknown environments. International Conference on Unmanned Aerial Vehicle in Geomatics, UAV-g 2011, Zurich, Switzerland, 14-16 September 2011. London, United Kingdom: International Society for Photogrammetry and Remote Sensing. doi: 10.5194/isprsarchives-XXXVIII-1-C22-143-2011

Chapman, S.C., Dreccer, M.F., Palta-Paz, J., Bourgault, M., Wockner, K., Zheng, B., Kearns, R., Dias De Oliveria, E. and Chenu, K. (2011). Adapting wheat germplasm for elevated CO2 and higher temperatures – environment characterisation, trait screening and crop modelling. ComBiom2011, Cairns, Australia, 25-29 September.

Mathews, Ky L., Trethowan, Richard, Milgate, Andrew, Payne, Thomas, van Ginkel, Maarten, Crossa, Jose, DeLacy, Ian H., Cooper, Mark and Chapman, Scott C. (2010). Indirect selection using reference genotype performance in a global spring wheat multi-environment trial. 8th International Wheat Conference, St Petersburg, Russia, 1-4 June 2010. St. Petersburg, Russia: N.I. Vavilov Research Institute of Plant Industry (VIR).

Chapman, Scott, Van Oosterom, Erik, Chenu, Karine, McLean, Greg and Hammer, Graeme (2010). The value of linking genomic knowledge with ecophysiological knowledge using dynamic crop models. ASA, CSSA, and SSSA 2010 Internation Annual Meetings, Long Beach, CA, USA, 31 October - 3 November 2010. Madison, WI, United States: ASA; CSSA; SSSA.

Mitchell, Jaquie, Chapman, Scott, Rebetzke, Greg and Fukai, Shu (2010). Increased stability of kernel weight under drought through selection of a reduced-tillering gene in wheat. 15th Australian Agronomy Conference, Lincoln, New Zealand, 15-18 November 2010. Gosford, N.S.W, Australia: The Regional Institute.

Chenu, K., Chapman, S. C., Tardieu, F., Welcker, C., McLean, G. and Hammer, G. L. (2010). Revealing the yield impacts of organ-level QTL associated with drought response in maize - A gene-to-phenotype modelling approach. DROPS workshop, Montpellier, France, 2-3 September.

Chenu, K., Hammer, G. L. and Chapman, S. C. (2010). Environmental characterisation for drought-prone environments. DROPS workshop, Montpellier, France, 2-3 September 2010.

Chapman, S. C., Dreccer, M. F., Chenu, K., Jordan, D., McLean, G., Hammer, G. L., Bourgault, M., Milroy, S., Palta-Paz, J. A., Wockner, K. B. and Zheng, B. (2010). Traits and technologies to design crop breeding systems for climate change. 2010 International Climate Change Adaptation Conference, Gold Coast, Queensland, Australia, 29 June - 1 July 2010. NCCARF/CSIRO.

Chenu, K., Hammer, G. L., Dreccer, M. F. and Chapman, S. C. (2010). Environmental characterisation to aid crop improvement in drought-prone environments. Agro2010: The XIth ESA Congress, Montpellier, France, 29 August - 03 September 2010. Montpelier, France: Agropolis International Editions.

Chenu, K., Hammer, G. L., Chapman, S. C., Christopher, J. and McLean, G. (2010). Functional whole-Plant modelling - The missing link between molecular biology and crop improvement?. Mathematical Modeling of Plant Development, Columbus, OH, USA, 27 September - 1 October 2010. Columbus, OH, United States: Mathematical Biosciences Institute, The Ohio State University.

Chapman, S. C., Wang, J., Chenu, K., McLean, G., Doherty, A., Hansen, N., Dieters, M. and Hammer, G. L. (2009). A simulation platform to study QTL detection and response to selection. 3rd International Conference on Integrated Approaches to Improve Crop Production Under Drought Prone Environments (InterDrought-III), Shanghai, China, 11-16 October 2009.

Chenu, K., Hammer, G. L., Dreccer, F. and Chapman, S. C. (2009). Environment characterisation as an aid to improve wheat adaptation in water-limited environments. 3rd International Conference on Integrated Approaches to Improve Crop Production Under Drought Prone Environments (InterDrought-III), Shanghai, China, 11-16 October 2009.

Hammer, Graeme L., Van Oosterom, Erik, McLean, Greg and Chapman, Scott (2009). Designing the sorghum crop model in APSIM to simulate the physiology and genetics of complex adaptive traits. Annual Meeting of the Society-for-Experimental-Biology, Glasgow Scotland, Jun 28-Jul 01, 2009. Philadelphia, United States: Elsevier. doi: 10.1016/j.cbpa.2009.04.550

Chapman, Scott, Wang, Jiankang, Chenu, Karine, Rebetzke, Greg, Bonnett, David, Welcker, Claude, Tardieu, Francois, Dieters, Mark and Hammer, Graeme (2009). Genetic and physiological simulation of crossing and selection strategies to combine diagnostic markers and quantitative traits. Plant and Animal Genomes XVII Conference, San Diego, CA, U.S.A., 10-14 January 2009.

Chenu, K., Tardieu, F., Chapman, S. C., McLean, G., Welcker, C. and Hammer, G. L. (2009). Quantitative trait loci associated with drought response in maize - a gene-to-phenotype modelling approach. 14th Australasian Plant Breeding Conference (APBC) and the 11th Congress of the Society for the Advancement of Breeding Research in Asia and Oceania (SABRAO), Cairns, Australia, 10-14 August 2009. Bangkok, Thailand: Society for Advancement of Breeding Research in Asia and Oceania.

Chapman, S. C., Chenu, K., Rebetzke, G. J., Dieters, M., Hammer, G. L. and Wang, J. (2009). Developing new methods for the application of cross prediction, QTL analysis and comparisons of breeding strategies. 14th Australasian Plant Breeding Conference (APBC) and the 11th Congress of the Society for the Advancement of Breeding Research in Asia and Oceania (SABRAO), Cairns, Australia, 10-14 August 2009. Bangkok, Thailand: Society for Advancement of Breeding Research in Asia and Oceania.

Chenu, K., Hammer, G. L., Dreccer, F. and Chapman, S. C. (2009). Environment characterisation as an aid to wheat improvement in north east Australia. 14th Australasian Plant Breeding & 11th SABRAO Conference, Cairns, Australia, 10-14 August 2009. Bangkok, Thailand: Society for Advancement of Breeding Research in Asia and Oceania.

Chenu, K., Chapman, S. C., Tardieu, F., McLean, G., Welcker, C. and Hammer, G. L. (2009). Revealing the yield impacts of organ-level quantitative trait loci associated with drought response in maize: a gene-to-phenotype modelling approach. 3rd International Conference on Integrated Approaches to Improve Crop Production Under Drought Prone Environments (InterDrought-III), Shanghai, China, 11-16 October 2009.

Chenu, K., Dreccer, F., Hammer, G. L., Lush, D., McLean, G. and Chapman, S. C. (2009). Crop modelling as an aid for environment characterisation and crop improvement. Society for Experimental Biology conference, Glasgow, UK, 6-10 July 2009.

Chapman, S. C., Chenu, K., McLean, G., Hammer, G. L., Dieters, M. and Wang, J. (2009). Simulating breeding systems for climate change. Workshop - Crop production under heat stress: monitoring, impact assessment and adaptation, Tsukuba, Japan, 5 - 9 October 2009.

Chenu, K., Chapman, S. C., McLean, G., Lush, D., Hammer, G. L. and Dreccer, F. (2009). Crop modelling as an aid for environmental characterisation and crop improvement. Annual Meeting of the Society for Experimental Biology, Glasgow, Scotland, 28 June-1 July 2009. New York, United States: Elsevier. doi: 10.1016/j.cbpa.2009.04.566

Chenu, K, Chapman, SC, Tardieu, F, McLean, G, Welcker, C and Hammer, GL (2009). Revealing the yield impacts of organ-level quantitative trait loci associated with drought response in maize-A gene-to-phenotype modelling approach. Annual Meeting of the Society-for-Experimental-Biology, Glasgow Scotland, Jun 28-Jul 01, 2009. NEW YORK: ELSEVIER SCIENCE INC. doi: 10.1016/j.cbpa.2009.04.575

Jackson, Phillip, Chapman, Scott, Rattey, Allan, Wei, Xianming and Cox, Mike (2009). GENOTYPE X REGION INTERACTIONS AND IMPLICATIONS FOR SUGARCANE BREEDING PROGRAMS. Australian Society of Sugar Cane Technologists.

Dreccer, M. Fernanda, Chapman, Scott C., Ogbonnaya, Francis C., Borgognone, M. Gabriela and Trethowan, R. M. (2008). Crop and environmental attributes underpinning genotype by environment interaction in synthetic-derived bread wheat evaluated in Mexico and Australia. SynERGE 2006: 1st Synthetic Wheat Symposium, Horsham, VIC, Australia, 4-6 Spetember, 2006. C S I R O Publishing: Collingwood, VIC, Australia. doi: 10.1071/AR07220

Mitchell, J. H., Chapman, S., Rebetzke, G. J., Fukai, S. and Shorter, R. (2008). Evaluation of reduced tillering wheat lines for dry environments. 5th International Crop Science Congress (ICSC): Crop Science 2008, Jeju, Korea, 13–18 April 2008.

Mitchell, JH, Chapman, Scott, Rebetzke, Greg and Fukai, Shu (2008). Increasing grain size and reducing screenings in wheat using a tiller inhibition gene - investigating grain morphology by image analysis. 14th Australian Society of Agronomy Conference, Adelaide, South Australia, 21-25 September 2008. Gosford Australia: The Regional Institute.

Chenu, Karine, Tardieu, François, Chapman, Scott, McLean, Greg, Welcker, Claude and Hammer, Graeme (2008). Simulating yield impact of QTL controlling leaf and silk expansion under drought in maize. Global Issues. Paddock Action, Adelaide, South Australia, 21-25 Sep 2008. Gosford, NSW: The Regional Institute Ltd.

Chenu, K., Chapman, S. C., Tardieu, F., Welcker, C., McLean, G. and Hammer, G. L. (2008). Model-based trait dissection as an aid to QTL detection and deployment - Illustration for leaf growth under drought in maize. Workshop: Integrating new technologies for rapid genetic advance in plant breeding programs, Brisbane, QLD, Australia, 8-9 October 2008.

Hammer, Graeme, Chapman, Scott and Van Oosterom, Erik (2008). Functional whole plant modelling - the missing link between molecular biology and crop improvement?. 14th Australian Society of Agronomy Conference, Adelaide, SA Australia, 21-25 September 2008. Gosford, NSW Australia: The Regional Institute.

Chapman, SC, Mathews, KL, Trethowan, RM and Singh, RP (2007). Relationships between height and yield in near-isogenic spring wheats that contrast for major reduced height genes. Dordrecht: Springer. doi: 10.1007/s10681-006-9304-3

Chenu, K., Chapman, S. C., Hammer, G. L., McLean, G. and Tardieu, F. (2007). How do short-term environmental effects on leaf growth rate translate into differences in whole-plant profiles of maize leaf area? Impact of temperature, evaporative demand and soil water status. Agron-Omics, Montpellier, France, 17-18 July 2007.

Chapman, S. C., Wang, J., Rebetzke, G. J. and Bonnett, D. G. (2007). Accounting for variability in the detection and use of markers for simple and complex traits. International Frontis Workshop on Gene-Plant-Crop Relations: Scale and Complexity in Plant Systems Research, Wageningen Netherlands, Apr 23-26, 2006. DORDRECHT: SPRINGER.

Chapman, S. C., Doherty, A., Hammer, G. L., Jordan, D., Mace, E. and Van Oosterom, E. J. (2006). Predicting flowering time in sorghum using a simple gene network: functional physiology or fictional functionality?. 5th Australian Sorghum Conference, Gold Coast, 30 January - 2 February 2006. Toowoomba, QLD, Australia: Range Media.

Van Oosterom, E. J., Hammer, G. L., Chapman, S. C. and Doherty, A. (2006). A simple gene network model for photoperiodic response of floral transition in sorghum can generate genotype-by-environment interations in grain yield at the crop level. 13th Australasian Plant Breeding Conference, Christchurch, New Zealand, 18-21 April 2006. New Zealand: Plant Breeding Inc.

Mitchell, J. H., Chapman, S. C., Rebetzke, J. and Fukai, S. (2006). Reduced-tillering wheat lines maintain kernel weight in dry environments. Ground-breaking Stuff, Perth, WA Australia, 10-14 September 2006. Gosford, NSW Australia: The Regional Institute.

Casu, Rosanne E., Manners, John M., Bonnett, Graham D., Jackson, Phillip A., McIntyre, C. Lynne, Dunne, Rob, Chapman, Scott C., Rae, Anne L. and Grof, Christopher P.L. (2005). Genomics approaches for the identification of genes determining important traits in sugarcane. Elsevier. doi: 10.1016/j.fcr.2005.01.029

Chapman, S., Fukai, S., Mitchel, J.H. and Rebetzke, G. (2005). Does reduced-tillering improve kernel size stability in wheat?. The 2nd International Conference on Integreated approaches to Sustain and Improve Plant Production under Drought Stress, Rome, Italy, 24-28 September, 2005.

Van Oosterom, Erik, Hammer, Graeme and Chapman, Scott (2004). Can transition to flowering be modelled dynamically from the gene level?. 4th International Crop Science Congress, Brisbane, QLD Australia, 26 September-1 October 2004. Gosford, NSW Australia: The Regional Institute.

Lambrides, Christopher J., Chapman, Scott and Shorter, Ray (2004). Transpiration efficiency in a segregating population of sunflower: Inheritance, correlation with other traits and association with hybrid grain yield. 4th International Crop Science Congress, Brisbane, QLD Australia, 26 September-1 October 2004. Gosford, NSW Australia: The Regional Institute.

Christopher, John T., Borrell, Andrew K., Manschadi, A. M., Hammer, Graeme and Chapman, Scott (2004). Developing high yielding wheat for water limited environments in northern Australia. 4th International Crop Science Congress, Brisbane, QLD Australia, 26 September - 1 October 2004. Gosford, NSW Australia: The Regional Institute.

Ritter, K., Chapman, S. C., Jordan, D., Godwin, I. D. and McIntyre, C. L. (2004). Investigating the use of sweet sorghum as a model for sugar accumulation in sugarcane. 4th International Crop Science Congress (4ICSC), Brisbane, QLD Australia, 26 September-1 October 2004. Gosford, NSW Australia: The Regional Institute.

Lambrides, C. J., Chapman, S. C. and Shorter, R. (2004). Carbon isotope discimination in sunflower correlates with transpiration efficiency and improved performance in dry environments. Sunflower: 16th International Sunflower Conference, Fargo, ND United States, August 2004. Fargo, ND United States: National Sunflower Association.

Hammer, Graeme, Chapman, Scott, Van Oosterom, Erik and Podlich, Dean (2004). Trait physiology and crop modelling to link phenotypic complexity to underlying genetic systems. 4th International Crop Science Congress, Brisbane, Australia, 26 September-1 October 2004. Gosford, N.S.W., Australia: The Regional Institute.

Hammer, G. L., Basford, K. E., Delacy, I. H., Chapman, S. C. and Cooper, M. (2002). The unit for modelling plant breeding programs at The University of Queensland. 12th Australasian Plant Breeding Conference, Perth, Western Australia, 15-20 September 2002. Perth, WA, Australia: The Australasian Plant Breeding Association.

Cooper, Mark, Chapman, Scott C., Podlich, Dean W. and Hammer, Graeme L. (2002). The GP problem: Quantifying gene-to-phenotype relationships.

Chapman, Scott, Imray, Robert and Hammer, Graeme (2000). Can seasonal climate forecasts predict movements in grain prices?. Symposium on Applications of Seasonal Climate Forecasting in Agricultural and Natural Ecosystems, Brisbane, Australia, November 1997. Dordrecht, Netherlands : Springer. doi: 10.1007/978-94-015-9351-9_22

Chapman, S. C., Hammer, G. L. and Cooper, M. (1999). Using crop simulation models to examine genotype by environment interaction in variable water-limited environments. 11th Australian Plant Breeding Conference, Stamford Grand Hotel, Glenelg, SA, 19-23 April 1999. Adelaide: Univ. of Adelaide (Waite Campus), SA.

Edmeades, GO, Banziger, M, Elings, A, Chapman, SC and Ribaut, JM (1997). Recent advances in breeding for drought tolerance in maize. 2nd International Symposium on Systems Approaches for Agricultural Development - Applications of Systems Approaches at the Field Level, Los Banos Philippines, Dec 06-08, 1995. DORDRECHT: KLUWER ACADEMIC PUBL.

Alahmad, Samir, Kang, Yichen, Rambla, Charlotte, Van Der Meer, Sarah, Smith, Millicent, Christopher, Jack, Chenu, Karine, Able, Jason A., Voss-Fels, Kai, Jordan, David R., Borrell, Andrew K., Smith, Daniel, Chapman, Scott, Watt, Michelle, Ober, Eric, Potgieter, Andries B., Wasson, Anton, Hickey, Lee T. and Robinson, Hannah (2022). Exploring root-shoot dynamics to enhance yield potential and stability of future wheat cultivars. Australian Breeding Assembly, August 2022, Narrabri, NSW, Australia. Centre for Crop Science, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane.

Chapman, Scott Cameron (1990). The effect of drought during reproductive development on the yield of cultivars of groundnut (Arachis hypogaea L.). PhD Thesis, School of Land, Crop and Food Sciences, The University of Queensland. doi: 10.14264/413256

Abdul Aziz, Ammar, Wicaksono, Prama, Arjasakusuma, Sanjiwana, Chapman, Scott, Langford, Zannie, Grunefeld, Swaantje, Azizan, Fathin Ayuni and Maishella, Amanda (2023). Capacity building and knowledge transfer in seaweed mapping in Indonesia. Melbourne, VIC, Australia: Australia-Indonesia Centre.

Abdul Aziz, Ammar, Wicaksono, Pramaditya, Arjasakusuma, Sanjiwana, Chapman, Scott, Langford, Zannie, Grunefeld, Swaantje, Azizan, Fathin Ayuni and Maishella, Amanda (2023). Peningkatan kapasitas dan transfer pengetahuan dalam pemetaan rumput laut di Indonesia. Melbourne, VIC, Australia: Australia-Indonesia Centre.

Chen, Qiaomin, Chapman, Scott, Zheng, Bangyou, Chenu, Karine and Chen, Qiaomin (2023). Generic model to estimate wheat LAI. The University of Queensland. (Dataset) doi: 10.48610/ac9642c

Chapman, Scott and Smith, Daniel (2023). INVITA Core site Ground-Based HTP platform Data. The University of Queensland. (Dataset) doi: 10.48610/346651e

Chapman, Scott and Smith, Daniel (2023). INVITA Core site UAV dataset. The University of Queensland. (Dataset) doi: 10.48610/951f13c

Chapman, Scott, Gho Brito, Carla and Fernandez, Javier (2023). INVITA Canopy temperature data set. The University of Queensland. (Dataset) doi: 10.48610/ef6a465

Chapman, Scott, Gho Brito, Carla and Fernandez, Javier (2023). INVITA Plot photo data set. The University of Queensland. (Dataset) doi: 10.48610/f5e1414

Chapman, Scott, Gho Brito, Carla and Fernandez, Javier (2023). INVITA Satellite data set. The University of Queensland. (Dataset) doi: 10.48610/1c8d86a

Chapman, Scott and Gho Brito, Carla (2023). INVITA UAV data set. The University of Queensland. (Dataset) doi: 10.48610/7b400d9

Chapman, Scott and James, Chris (2023). Wheat Head Detection Ground-UAV Dataset. The University of Queensland. (Dataset) doi: 10.48610/f6a6b07

Chapman, Scott and James, Chris (2023). Sorghum Panicle Detection Ground-UAV Dataset. The University of Queensland. (Dataset) doi: 10.48610/9c3dd16

Professor Scott Chapman

Researcher biography

Areas of research

Professor Scott Chapman

Researcher biography

Publications

Book Chapters

Journal Articles

Conference Papers

Seminar Paper

Thesis

Research Reports

Data Collections

Areas of research