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| Similar estimates of temperature impacts on global wheat yield by three independent methods B Liu, S Asseng, C Müller, F Ewert, J Elliott, DB Lobell, P Martre, ... Nature Climate Change 6 (12), 1130-1136, 2016 | 187 | 2016 |
| The uncertainty of crop yield projections is reduced by improved temperature response functions E Wang, P Martre, Z Zhao, F Ewert, A Maiorano, RP Rötter, BA Kimball, ... Nature plants 3 (8), 1-13, 2017 | 99 | 2017 |
| Temperature and precipitation effects on wheat yield across a European transect: a crop model ensemble analysis using impact response surfaces N Pirttioja, TR Carter, S Fronzek, M Bindi, H Hoffmann, T Palosuo, ... Climate Research 65, 87-105, 2015 | 88 | 2015 |
| Climate change impact and adaptation for wheat protein S Asseng, P Martre, A Maiorano, RP Rötter, GJ O’Leary, GJ Fitzgerald, ... Global change biology 25 (1), 155-173, 2019 | 87 | 2019 |
| Crop model improvement reduces the uncertainty of the response to temperature of multi-model ensembles A Maiorano, P Martre, S Asseng, F Ewert, C Müller, RP Rötter, AC Ruane, ... Field Crops Research 202, 5-20, 2017 | 72 | 2017 |
| How accurately do maize crop models simulate the interactions of atmospheric CO2 concentration levels with limited water supply on water use and yield? JL Durand, K Delusca, K Boote, J Lizaso, R Manderscheid, HJ Weigel, ... European journal of agronomy 100, 67-75, 2018 | 55 | 2018 |
| Effect of weather data aggregation on regional crop simulation for different crops, production conditions, and response variables G Zhao, H Hoffmann, LGJ van Bussel, A Enders, X Specka, C Sosa, ... Climate Research 65, 141-157, 2015 | 42 | 2015 |
| Global wheat production with 1.5 and 2.0° C above pre‐industrial warming B Liu, P Martre, F Ewert, JR Porter, AJ Challinor, C Müller, AC Ruane, ... Global Change Biology 25 (4), 1428-1444, 2019 | 35 | 2019 |
| Improving water use efficiency and grain yield of winter wheat by optimizing irrigations in the North China Plain X Xu, M Zhang, J Li, Z Liu, Z Zhao, Y Zhang, S Zhou, Z Wang Field Crops Research 221, 219-227, 2018 | 33 | 2018 |
| Classifying multi-model wheat yield impact response surfaces showing sensitivity to temperature and precipitation change S Fronzek, N Pirttioja, TR Carter, M Bindi, H Hoffmann, T Palosuo, ... Agricultural Systems 159, 209-224, 2018 | 32 | 2018 |
| Modelling to increase the eco-efficiency of a wheat–maize double cropping system Z Zhao, X Qin, E Wang, P Carberry, Y Zhang, S Zhou, X Zhang, C Hu, ... Agriculture, Ecosystems & Environment 210, 36-46, 2015 | 30 | 2015 |
| A reappraisal of the critical nitrogen concentration of wheat and its implications on crop modeling Z Zhao, E Wang, Z Wang, H Zang, Y Liu, JF Angus Field Crops Research 164, 65-73, 2014 | 30 | 2014 |
| Variability of effects of spatial climate data aggregation on regional yield simulation by crop models H Hoffmann, G Zhao, LGJ van Bussel, A Enders, X Specka, C Sosa, ... Climate Research 65, 53-69, 2015 | 26 | 2015 |
| Grain yield and water use efficiency in extremely-late sown winter wheat cultivars under two irrigation regimes in the North China Plain B Wang, Y Zhang, B Hao, X Xu, Z Zhao, Z Wang, Q Xue PloS one 11 (4), e0153695, 2016 | 22 | 2016 |
| Impact analysis of climate data aggregation at different spatial scales on simulated net primary productivity for croplands M Kuhnert, J Yeluripati, P Smith, H Hoffmann, M Van Oijen, J Constantin, ... European Journal of Agronomy 88, 41-52, 2017 | 20 | 2017 |
| The implication of input data aggregation on up-scaling soil organic carbon changes B Grosz, R Dechow, S Gebbert, H Hoffmann, G Zhao, J Constantin, ... Environmental modelling & software 96, 361-377, 2017 | 17 | 2017 |
| The AgMIP coordinated climate-crop modeling project (C3MP): methods and protocols SP McDermid, AC Ruane, C Rosenzweig, NI Hudson, MD Morales, ... HANDBOOK OF CLIMATE CHANGE AND AGROECOSYSTEMS: The Agricultural Model …, 2015 | 17 | 2015 |
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Enli WangCSIRO Land and WaterVerified email at csiro.au
