Issue Date | Title | Author(s) |
2018-11-01 | Quantifying sources of uncertainty in projected wheat yield changes under climate change in eastern Australia | Wang, B; Liu, DL; Waters, C; Yu, Q |
2019-02-01 | Projected changes in drought across the wheat belt of southeastern Australia using a downscaled climate ensemble | Feng, P; Liu, DL; Wang, B; Waters, C; Zhang, M; Yu, Q |
2019-03-01 | Designing wheat ideotypes to cope with future changing climate in South-Eastern Australia | Wang, B; Feng, P; Chen, C; Liu, DL; Waters, C; Yu, Q |
2020-11 | Sources of uncertainty for wheat yield projections under future climate are site-specific | Wang, B; Feng, P; Liu, DL; O’Leary, GJ; Macadam, I; Waters, C; Asseng, S; Cowie, A; Jiang, T; Xiao, D; Ruan, H; He, J; Yu, Q |
2021-12-15 | Assessing maize potential to mitigate the adverse effects of future rising temperature and heat stress in China | Huang, M; Wang, J; Wang, B; Liu, DL; Feng, P; Yu, Q; Pan, X; Waters, C |
2019-09-15 | Incorporating machine learning with biophysical model can improve the evaluation of climate extremes impacts on wheat yield in south-eastern Australia | Feng, P; Wang, B; Liu, DL; Waters, C; Yu, Q |
2020-07 | Using large-scale climate drivers to forecast meteorological drought condition in growing season across the Australian wheatbelt. | Feng, P; Wang, B; Luo, J-J; Liu, DL; Waters, C; Ji, F; Ruan, H; Xiao, D; Shi, L; Yu, Q |
2022-12-01 | Identifying effective agricultural management practices for climate change adaptation and mitigation: A win-win strategy in South-Eastern Australia | He, Q; Liu, DL; Wang, B; Li, L; Cowie, A; Simmons, A; Zhou, H; Tian, Q; Li, S; Li, Y; Liu, K; Yan, H; Harrison, MT; Feng, P; Waters, C; Li, GD; de Voil, P; Yu, Q |
2019-01-01 | Propagation of climate model biases to biophysical modelling can complicate assessments of climate change impact in agricultural systems | Liu, DL; Wang, B; Evans, J; Ji, F; Waters, C; Macadam, I; Yang, X; Beyer, K |
2020-09-15 | Quantifying the impacts of pre-occurred ENSO signals on wheat yield variation using machine learning in Australia | Wang, B; Feng, P; Waters, C; Cleverly, J; Liu, DL; Yu, Q |