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Featured 2015 Book Chapter Characterising the crop environment – nature, significance and applicationsChenu, Karine (2015). Characterising the crop environment – nature, significance and applications. Crop physiology: applications for genetic improvement and agronomy. (pp. 321-348) edited by Victor O. Sadras and Daniel F. Calderini. London, United Kingdom: Academic Press. doi: 10.1016/B978-0-12-417104-6.00013-3 |
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Featured 2013 Journal Article Large-scale characterization of drought pattern: a continent-wide modelling approach applied to the Australian wheatbelt spatial and temporal trendsChenu, 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 |
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2013 Journal Article A multisite managed environment facility for targeted trait and germplasm phenotypingRebetzke, Greg J., Chenu, Karine, Biddulph, Ben, Moeller, Carina, Deery, Dave M., Rattey, Allan R., Bennett, Dion, Barrett-Lennard, Ed G. and Mayer, Jorge E. (2013). A multisite managed environment facility for targeted trait and germplasm phenotyping. Functional Plant Biology, 40 (1), 1-13. doi: 10.1071/FP12180 |
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2011 Journal Article Environment characterization as an aid to wheat improvement: Interpreting genotype-environment interactions by modelling water-deficit patterns in north-eastern AustraliaChenu, 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 |
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2009 Journal Article Simulating the yield impacts of organ-level quantitative trait loci associated with drought response in maize: A "gene-to-phenotype" modeling approachChenu, 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 |
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2008 Journal Article Short-term responses of leaf growth rate to water deficit scale up to whole-plant and crop levels: an integrated modelling approach in maizeChenu, 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 |
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2024 Journal Article Pre- and post-flowering impacts of natural heatwaves on yield components in wheatUllah, Najeeb, Collins, Brian, Christopher, John T., Frederiks, Troy and Chenu, Karine (2024). Pre- and post-flowering impacts of natural heatwaves on yield components in wheat. Field Crops Research, 316 109489, 109489. doi: 10.1016/j.fcr.2024.109489 |
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2024 Journal Article Versatile crop yield estimatorSadeh, Yuval, Zhu, Xuan, Dunkerley, David, Walker, Jeffrey P., Chen, Yang and Chenu, Karine (2024). Versatile crop yield estimator. Agronomy for Sustainable Development, 44 (4) 42. doi: 10.1007/s13593-024-00974-4 |
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2024 Journal Article Does late water deficit induce root growth or senescence in wheat?Shazadi, Kanwal, Christopher, John T. and Chenu, Karine (2024). Does late water deficit induce root growth or senescence in wheat?. Frontiers in Plant Science, 15 1351436. doi: 10.3389/fpls.2024.1351436 |
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2024 Journal Article Improving cotton productivity and nitrogen use efficiency through late nitrogen fertilization: Evidence from a three-year field experiment in the XinjiangTian, Yu, Shi, Feng, Shi, Xiaojuan, Zhang, Humei, Li, Zemin, Lin, Hairong, Luo, Honghai and Chenu, Karine (2024). Improving cotton productivity and nitrogen use efficiency through late nitrogen fertilization: Evidence from a three-year field experiment in the Xinjiang. Field Crops Research, 313 109433, 109433. doi: 10.1016/j.fcr.2024.109433 |
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2024 Journal Article Mapping the race between crop phenology and climate risks for wheat in France under climate changeLe Roux, Renan, Furusho-Percot, Carina, Deswarte, Jean-Charles, Bancal, Marie-Odile, Chenu, Karine, de Noblet-Ducoudré, Nathalie, de Cortázar-Atauri, Iñaki García, Durand, Alexis, Bulut, Burak, Maury, Olivier, Décome, Jérémie and Launay, Marie (2024). Mapping the race between crop phenology and climate risks for wheat in France under climate change. Scientific Reports, 14 (1) 8184, 1-14. doi: 10.1038/s41598-024-58826-w |
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2024 Journal Article Crop traits and production under droughtVadez, Vincent, Grondin, Alexandre, Chenu, Karine, Henry, Amelia, Laplaze, Laurent, Millet, Emilie J. and Carminati, Andrea (2024). Crop traits and production under drought. Nature Reviews Earth and Environment, 5 (3), 211-225. doi: 10.1038/s43017-023-00514-w |
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2023 Journal Article Late nitrogen fertilization increases biomass of cotton bolls by reinforcing source sink performanceTian, Yu, Shi, Xiaojuan, Shi, Feng, Zhang, Hongxia, Liang, Qi, Luo, Honghai and Chenu, Karine (2023). Late nitrogen fertilization increases biomass of cotton bolls by reinforcing source sink performance. Industrial Crops and Products, 206 117663. doi: 10.1016/j.indcrop.2023.117663 |
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2023 Journal Article Deep reinforcement learning for irrigation scheduling using high-dimensional sensor feedbackSaikai, Yuji, Peake, Allan and Chenu, Karine (2023). Deep reinforcement learning for irrigation scheduling using high-dimensional sensor feedback. PLOS Water, 2 (9) e0000169, 1-20. doi: 10.1371/journal.pwat.0000169 |
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2023 Book Chapter Modelling the impact of climate change on agriculture in Australia and OceaniaWang, Enli, Teixeira, Edmar, Zheng, Bangyou, Hughes, Neal, Chenu, Karine, Hunt, James, Ghahramani, Afshin, Potgieter, Andries B., Zhu, Junqi, Cichota, Rogerio and Huth, Neil (2023). Modelling the impact of climate change on agriculture in Australia and Oceania. Modelling climate change impacts on agricultural systems. (pp. 481-540) edited by Claas Nendel. Cambridge, United Kingdom: Burleigh Dodds Science Publishing. doi: 10.19103/as.2022.0115.17 |
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2023 Journal Article Optimizing nitrogen application improves its efficiency by higher allocation in bolls of cotton under drip fertigationTian, Yu, Tian, Liwen, Wang, Fangyong, Shi, Xiaojuan, Shi, Feng, Hao, Xianzhe, Li, Nannan, Chenu, Karine, Luo, Honghai and Yang, Guozheng (2023). Optimizing nitrogen application improves its efficiency by higher allocation in bolls of cotton under drip fertigation. Field Crops Research, 298 108968. doi: 10.1016/j.fcr.2023.108968 |
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2023 Journal Article Late nitrogen fertilization improves cotton yield through optimizing dry matter accumulation and partitioningTian, Yu, Wang, Fangyong, Shi, Xiaojuan, Shi, Feng, Li, Nannan, Li, Junhong, Chenu, Karine, Luo, Honghai and Yang, Guozheng (2023). Late nitrogen fertilization improves cotton yield through optimizing dry matter accumulation and partitioning. Annals of Agricultural Sciences, 68 (1), 75-86. doi: 10.1016/j.aoas.2023.06.001 |
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2023 Journal Article Balancing pre- and post-anthesis growth to maximise water-limited yield in cerealsBorrell, Andrew K., Christopher, John T., Kelly, Alison, Collins, Brian and Chenu, Karine (2023). Balancing pre- and post-anthesis growth to maximise water-limited yield in cereals. Field Crops Research, 296 108919, 1-19. doi: 10.1016/j.fcr.2023.108919 |
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2023 Other Outputs Generic model to estimate wheat LAIChen, 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 |
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2023 Journal Article A generic model to estimate wheat LAI over growing season regardless of the soil-type backgroundChen, 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 |
