| Rising temperatures reduce global wheat production S Asseng, F Ewert, P Martre, RP Rötter, DB Lobell, D Cammarano, ... Nature Climate Change 5 (2), 143-147, 2015 | 2155 | 2015 |
| 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 | 526 | 2016 |
| The uncertainty of crop yield projections is reduced by improved temperature response functions (vol 3, pg 17102, 2017) E Wang, P Martre, Z Zhao, F Ewert, A Maiorano, RP Rotter, BA Kimball, ... Nature Plants 3 (10), 833-833, 2017 | 279* | 2017 |
| 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 | 144 | 2017 |
| Hot spots of wheat yield decline with rising temperatures S Asseng, D Cammarano, B Basso, U Chung, PD Alderman, K Sonder, ... Global change biology 23 (6), 2464-2472, 2017 | 124 | 2017 |
| Development and deployment of a portable field phenotyping platform JL Crain, Y Wei, J Barker III, SM Thompson, PD Alderman, M Reynolds, ... Crop Science 56 (3), 965-975, 2016 | 91 | 2016 |
| Adapting the CROPGRO perennial forage model to predict growth of Brachiaria brizantha BC Pedreira, CGS Pedreira, KJ Boote, MAS Lara, PD Alderman Field Crops Research 120 (3), 370-379, 2011 | 78 | 2011 |
| Exploring long-term variety performance trials to improve environment-specific genotype× management recommendations: A case-study for winter wheat LB Munaro, TJ Hefley, E DeWolf, S Haley, AK Fritz, G Zhang, LA Haag, ... Field Crops Research 255, 107848, 2020 | 64 | 2020 |
| Predicting growth of Panicum maximum: An adaptation of the CROPGRO–perennial forage model MAS Lara, CGS Pedreira, KJ Boote, BC Pedreira, LSB Moreno, ... Agronomy Journal 104 (3), 600-611, 2012 | 49 | 2012 |
| Regrowth dynamics of ‘Tifton 85’bermudagrass as affected by nitrogen fertilization PD Alderman, KJ Boote, LE Sollenberger Crop Science 51 (4), 1716-1726, 2011 | 47 | 2011 |
| Species‐genotypic parameters of the CROPGRO Perennial Forage Model: Implications for comparison of three tropical pasture grasses DNL Pequeno, CGS Pedreira, KJ Boote, PD Alderman, AFG Faria Grass and Forage Science 73 (2), 440-455, 2018 | 40 | 2018 |
| Quantifying model-structure-and parameter-driven uncertainties in spring wheat phenology prediction with Bayesian analysis PD Alderman, B Stanfill European Journal of Agronomy 88, 1-9, 2017 | 31 | 2017 |
| The value of seasonal forecasts for irrigated, supplementary irrigated, and rainfed wheat cropping systems in northwest Mexico MA Ramírez-Rodrigues, PD Alderman, L Stefanova, CM Cossani, ... Agricultural Systems 147, 76-86, 2016 | 31 | 2016 |
| A comprehensive R interface for the DSSAT Cropping Systems Model PD Alderman Computers and Electronics in Agriculture 172, 105325, 2020 | 27 | 2020 |
| Carbohydrate and Nitrogen Reserves Relative to Regrowth Dynamics of ‘Tifton 85’Bermudagrass as Affected by Nitrogen Fertilization PD Alderman, KJ Boote, LE Sollenberger, SW Coleman Crop Science 51 (4), 1727-1738, 2011 | 25 | 2011 |
| Adapting the CSM-CROPGRO model for pigeonpea using sequential parameter estimation PD Alderman, KJ Boote, JW Jones, VS Bhatia Field Crops Research 181, 1-15, 2015 | 24 | 2015 |
| Evidence for increasing global wheat yield potential JR Guarin, P Martre, F Ewert, H Webber, S Dueri, D Calderini, ... Environmental Research Letters 17 (12), 124045, 2022 | 23 | 2022 |
| O-linked N-acetylglucosamine transferase is involved in fine regulation of flowering time in winter wheat M Fan, F Miao, H Jia, G Li, C Powers, R Nagarajan, PD Alderman, ... Nature communications 12 (1), 2303, 2021 | 17 | 2021 |
| Reliability of Genotype-Specific Parameter Estimation for Crop Models: Insights from a Markov Chain Monte-Carlo Estimation Approach S Acharya, M Correll, JW Jones, KJ Boote, PD Alderman, Z Hu, ... Transactions of the ASABE 60 (5), 1699-1712, 2017 | 15 | 2017 |
| The International Heat Stress Genotype Experiment for modeling wheat response to heat: field experiments and AgMIP-Wheat multi-model simulations. P Martre, MP Reynolds, S Asseng, F Ewert, PD Alderman, D Cammarano, ... Open Data Journal for Agricultural Research 3, 2017 | 15 | 2017 |
