Browse by ANZSRC Socio-Economic Objective codes
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- SEO Codes (48718)
- 26 PLANT PRODUCTION AND PLANT PRIMARY PRODUCTS (43)
- 2603 Grains and seeds (6)
- 260312 Wheat (5)
- 2603 Grains and seeds (6)
- 26 PLANT PRODUCTION AND PLANT PRIMARY PRODUCTS (43)
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Collins, Brian, and Chenu, Karine (2021) Improving productivity of Australian wheat by adapting sowing date and genotype phenology to future climate. Climate Risk Management, 32. 100300.
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Luo, Qunying, O’Leary, Garry, Cleverly, James, and Eamus, Derek (2018) Effectiveness of time of sowing and cultivar choice for managing climate change: wheat crop phenology and water use efficiency. International Journal of Biometeorology, 62. pp. 1049-1061.
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Stella, Tommaso, Webber, Heidi, Olesen, Jorgen E., Ruane, Alex C., Fronzek, Stefan, Bregaglio, Simone, Bindi, Marco, Collins, Brian, Faye, Babacar, Ferrise, Roberto, Fodor, Nandor, Gabaldón-Leal, Clara, Jabloun, Mohamed, Kersebaum, Kurt-Christian, Lizaso, Jon I., Lorite, Ignacio J., Manceau, Loic, Martre, Pierre, Rodriguez, Alfredo, Ruiz-Ramos, Margarita, Nendel, Claas, Semenov, Mikhail A., Stratonovitch, Pierre, and Ewert, Frank (2021) Methodology to assess the changing risk of yield failure due to heat and drought stress under climate change. Environmental Research Letters, 16. 104033.
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Wang, Bin, Feng, Puyu, Waters, Cathy, Cleverly, James, Liu, De Li, and Yu, Qiang (2020) Quantifying the impacts of pre-occurred ENSO signals on wheat yield variation using machine learning in Australia. Agricultural and Forest Meteorology, 291. 108043.
Webber, Heidi, White, Jeffrey W., Kimball, Bruce A., Ewert, Frank, Asseng, Senthold, Eyshi Rezaei, Ehsan, Pinter Jr., Paul J., Hatfield, Jerry L., Reynolds, Matthew P., Ababaei, Benham, Bindi, Marco, Doltra, Jordi, Ferrise, Roberto, Kage, Henning, Kassie, Belay T., Kersebaum, Kurt-Christian, Luig, Adam, Olesen, Jørgen E., Semenov, Mikhail A., Stratonovitch, Pierre, Ratjen, Arne M., LaMorte, Robert L., Leavitt, Steven W., Hunsaker, Douglas J., Wall, Gerard W., and Martre, Pierre (2018) Physical robustness of canopy temperature models for crop heat stress simulation across environments and production conditions. Field Crops Research, 216. pp. 75-88.