Peer Reviewed Journal Articles

Key Publications

Hoffmann, M.P., et al. (2016). Assessing the Potential for Zone-Specific Management of Cereals in Low-Rainfall South-Eastern Australia: Combining On-Farm Results and Simulation Analysis Journal of Agronomy and Crop Science 203, 14–28.
DOI:10.1111/jac.12159

Kassie, B.T., Van Ittersum, M.K., Hengsdijk, H., Asseng, S., Wolf, J. & Rötter, R.P. (2014). Climate-induced yield variability and yield gaps of maize (Zea mays L.) in the Central Rift Valley of Ethiopia Field Crops Research 160, 41-53.
DOI:10.1016/j.fcr.2014.02.010
Asseng, S., et al. (2015). Rising temperatures reduce global wheat production Nature Climate Change 5, 143-147.
DOI:10.1038/nclimate2470

Hoffmann, M.P., et al. (2018). Exploring adaptations of groundnut cropping to prevailing climate variability and extremes in Limpopo Province, South Africa Field Crops Research 219, 1-13.
DOI: 10.1016/j.fcr.2018.01.019

Rötter, R.P., et al. (2018). Linking modelling and experimentation to better capture crop impacts of agroclimatic extremes - A review Field Crops Research 221, 142–156.
DOI: 10.1016/j.fcr.2018.02.023

Kahiluoto, H., et al. (2014). Cultivating resilience by empirically revealing response diversity Global Environmental Change 25, 186-193.
DOI:10.1016/j.gloenvcha.2014.02.002

Rötter, R.P., et al. (2015). Use of crop simulation modelling to aid ideotype design of future cereal cultivars Journal of Experimental Botany 66, 3463-3476.
DOI:10.1093/jxb/erv098

Rötter, R.P., Tao, F., Höhn, J.G., Palosuo, T. (2015) Use of crop simulation modelling to aid ideotype design of future cereal cultivars Journal of Experimental Botany 66 (12), 3463-3476
DOI: 10.1093/jxb/erv098erv098

Tao, F., Rötter, R.P., Palosuo, T., et al. (2016) Designing future barley ideotypes using a crop model ensemble European Journal of Agronomy 82(A), 144-162
DOI: 10.1016/j.eja.2016.10.012
de Wit, A., et al. (2015). WOFOST developer's response to article by Stella et al. Environmental Modelling & Software 59, 44-58.
DOI:10.1016/j.envsoft.2015.07.005

Hoffmann, M.P., et al. (2014). Simulating potential growth and yield in oil palm with PALMSIM: Model description, evaluation and application Agricultural Systems 131, 1-10.
DOI:10.1016/j.agsy.2014.07.006

Rötter, R.P., et al. (2011). Crop–climate models need an overhaul Nature Climate Change 1, 175-177.
DOI:10.1038/nclimate1152

Rötter, R.P., et al. (2014). Robust uncertainty Nature Climate Change 4, 251-252.
DOI:10.1038/nclimate2181

Wallach, D., et al. (2016). Estimating model prediction error: Should you treat predictions as fixed or random? Environmental Modelling & Software 84, 529-539.
DOI:10.1016/j.envsoft.2016.07.010

Ewert, F., et al. (2015). Crop modelling for integrated assessment of risk to food production from climate change Environmental Modelling & Software 72, 287-303.
DOI:10.1016/j.envsoft.2014.12.003

Liu, X., et al. (2016). Dynamic economic modelling of crop rotations with farm management practices under future pest pressure Agricultural Systems 144, 65-76.
DOI:10.1016/j.agsy.2015.12.003


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