selected publications
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article
- Modelling food security: Bridging the gap between the micro and the macro scale. GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS. 63:102085. 2020
- Model-Driven Multidisciplinary Global Research to Meet Future Needs: The Case for “Improving Radiation Use Efficiency to Increase Yield”. CROP SCIENCE. 59:843-849. 2019
- Global wheat production with 1.5 and 2.0°C above pre-industrial warming. GLOBAL CHANGE BIOLOGY. 25:1428-1444. 2019
- Climate change impact and adaptation for wheat protein. GLOBAL CHANGE BIOLOGY. 25:155-173. 2019
- Multimodel ensembles improve predictions of crop-environment-management interactions.. GLOBAL CHANGE BIOLOGY. 24:5072-5083. 2018
- Coordinating AgMIP data and models across global and regional scales for 1.5°C and 2.0°C assessments. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES. 376:20160455. 2018
- The Hot Serial Cereal Experiment for modeling wheat response to temperature: field experiments and AgMIP-Wheat multi-model simulations. Journal of Agricultural Research. 4:28-34. 2018
- Yield variation of rainfed rice as affected by field water availability and N fertilizer use in central Benin. Nutrient Cycling in Agroecosystems. 110:293-305. 2018
- Impacts of 1.5 versus 2.0 °C on cereal yields in the West African Sudan Savanna. ENVIRONMENTAL RESEARCH LETTERS. 13:34014. 2018
- Physical robustness of canopy temperature models for crop heat stress simulation across environments and production conditions.. Field Crops Research. 216:75-88. 2018
- How accurately do maize crop models simulate the interactions of atmospheric CO2 concentration levels with limited water supply on water use and yield. European Journal of Agronomy. 100:67-75. 2018
- How accurately do maize crop models simulate the interactions of atmospheric CO2 concentration levels with limited water supply on water use and yield. European Journal of Agronomy. 100:67-75. 2018
- Yield variation of rainfed rice as affected by field water availability and N fertilizer use in central Benin. Nutrient Cycling in Agroecosystems. 110:293-305. 2018
- Author Correction: The uncertainty of crop yield projections is reduced by improved temperature response functions.. Nature plants. 3:833-833. 2017
- Temperature increase reduces global yields of major crops in four independent estimates. Proceedings of the National Academy of Sciences of the United States of America. 114:9326-9331. 2017
- The uncertainty of crop yield projections is reduced by improved temperature response functions.. Nature plants. 3:17102-17102. 2017
- The International Heat Stress Genotype Experiment for modeling wheat response to heat: field experiments and AgMIP-Wheat multi-model simulations. Journal of Agricultural Research. 3. 2017
- Variability and determinants of yields in rice production systems of West Africa. Field Crops Research. 207:1-12. 2017
- Crop Model Improvement Reduces the Uncertainty of the Response to Temperature of Multi-Model Ensembles. Field Crops Research. 202:5-20. 2017
- Uncertainty of wheat water use: Simulated patterns and sensitivity to temperature and CO2. Field Crops Research. 198:80-92. 2016
- Similar estimates of temperature impacts on global wheat yield by three independent methods. Nature Climate Change. 6:1130-+. 2016
- Multi-wheat-model ensemble responses to interannual climate variability. Environmental Modelling and Software. 81:86-101. 2016
- Estimating model prediction error: Should you treat predictions as fixed or random?. Environmental Modelling and Software. 84:529-539. 2016
- A Statistical Analysis of Three Ensembles of Crop Model Responses to Temperature and CO2 Concentration. AGRICULTURAL AND FOREST METEOROLOGY. 214:483-493. 2015
- A Statistical Analysis of Three Ensembles of Crop Model Responses to Temperature and CO2 Concentration. AGRICULTURAL AND FOREST METEOROLOGY. 214:483-493. 2015
- Statistical Analysis of Large Simulated Yield Datasets for Studying Climate Effects 2015
- Multimodel ensembles of wheat growth: many models are better than one. GLOBAL CHANGE BIOLOGY. 21:911-925. 2015
- Multimodel ensembles of wheat growth: many models are better than one. GLOBAL CHANGE BIOLOGY. 21:911-925. 2015
- Rising Temperatures Reduce Global Wheat Production. Nature Climate Change. 5:143-147. 2015
- Rising Temperatures Reduce Global Wheat Production. Nature Climate Change. 5:143-147. 2015
- Spatial and temporal variation in yield of rainfed lowland rice in inland valley as affected by fertilizer application and bunding in North-West Benin. Agricultural Water Management. 126:119-124. 2013
- Uncertainty in Simulating Wheat Yields Under Climate Change. Nature Climate Change. 3:827-832. 2013
- Uncertainty in Simulating Wheat Yields Under Climate Change. Nature Climate Change. 3:827-832. 2013
- The Agricultural Model Intercomparison and Improvement Project (AgMIP): Protocols and Pilot Studies. AGRICULTURAL AND FOREST METEOROLOGY. 170:166-182. 2013
- Simulation of soil water dynamics and rice crop growth as affected by bunding and fertilizer application in inland valley systems of West Africa. Agriculture, Ecosystems & Environment. 162:24-35. 2012
- CROSPAL, software that uses agronomic expert knowledge to assist modules selection for crop growth simulation 2010
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editorial article
- Making the most of climate impacts ensembles. Nature Climate Change. 4:77-80. 2014