Articles with public access mandates - Vakhtang SheliaLearn more
Not available anywhere: 5
The DSSAT crop modeling ecosystem
G Hoogenboom, CH Porter, KJ Boote, V Shelia, PW Wilkens, U Singh, ...
Advances in crop modelling for a sustainable agriculture, 173-216, 2019
Mandates: US Agency for International Development
A SIMPLE crop model
C Zhao, B Liu, L Xiao, G Hoogenboom, KJ Boote, BT Kassie, W Pavan, ...
European Journal of Agronomy 104, 97-106, 2019
Mandates: US Department of Agriculture, US Agency for International Development, CGIAR
Expected effects of climate change on the production and water use of crop rotation management reproduced by crop model ensemble for Czech Republic sites
E Pohanková, P Hlavinka, KC Kersebaum, A Rodríguez, J Balek, ...
European Journal of Agronomy 134, 126446, 2022
Mandates: Government of Spain
A new approach to clustering soil profile data using the modified distance matrix
V Shelia, G Hoogenboom
Computers and Electronics in Agriculture 176, 105631, 2020
Mandates: CGIAR
Simulating Maize Crop Processes in DSSAT: CSM‐CERES‐Maize vs. CSM‐IXIM‐Maize
JI Lizaso, V Shelia, G Hoogenboom
Modeling Processes and Their Interactions in Cropping Systems: Challenges …, 2022
Mandates: US Agency for International Development
Available somewhere: 14
Impacts of 1.5 versus 2.0 C on cereal yields in the West African Sudan Savanna
B Faye, H Webber, JB Naab, DS MacCarthy, M Adam, F Ewert, ...
Environmental Research Letters 13 (3), 034014, 2018
Mandates: US Department of Energy, US National Aeronautics and Space Administration …
A multi-scale and multi-model gridded framework for forecasting crop production, risk analysis, and climate change impact studies
V Shelia, J Hansen, V Sharda, C Porter, P Aggarwal, CJ Wilkerson, ...
Environmental Modelling & Software 115, 144-154, 2019
Mandates: CGIAR
The chaos in calibrating crop models: Lessons learned from a multi-model calibration exercise
D Wallach, T Palosuo, P Thorburn, Z Hochman, E Gourdain, ...
Environmental Modelling & Software 145, 105206, 2021
Mandates: US Department of Agriculture, National Natural Science Foundation of China …
Modeling growth, development and yield of Sugarbeet using DSSAT
MJ Anar, Z Lin, G Hoogenboom, V Shelia, WD Batchelor, JM Teboh, ...
Agricultural Systems 169, 58-70, 2019
Mandates: US Department of Agriculture
How well do crop modeling groups predict wheat phenology, given calibration data from the target population?
D Wallach, T Palosuo, P Thorburn, E Gourdain, S Asseng, B Basso, ...
European Journal of Agronomy 124, 126195, 2021
Mandates: US Department of Agriculture, National Natural Science Foundation of China …
Performance of 13 crop simulation models and their ensemble for simulating four field crops in Central Europe
M Kostková, P Hlavinka, E Pohanková, KC Kersebaum, C Nendel, ...
The Journal of Agricultural Science 159 (1-2), 69-89, 2021
Mandates: Government of Spain, Federal Ministry of Education and Research, Germany
Multi-model evaluation of phenology prediction for wheat in Australia
D Wallach, T Palosuo, P Thorburn, Z Hochman, F Andrianasolo, S Asseng, ...
Agricultural and Forest Meteorology 298, 108289, 2021
Mandates: US Department of Agriculture, National Natural Science Foundation of China …
Estimating the potential impact of climate change on sunflower yield in the Konya province of Turkey
H Gurkan, V Shelia, N Bayraktar, YE Yildirim, N Yesilekin, A Gunduz, ...
The Journal of Agricultural Science 158 (10), 806-818, 2020
Mandates: Scientific and Technological Research Council of Turkey
Simulation of evapotranspiration and yield of maize: An inter-comparison among 41 maize models
BA Kimball, KR Thorp, KJ Boote, C Stockle, AE Suyker, SR Evett, ...
Agricultural and Forest Meteorology 333, 109396, 2023
Mandates: US Department of Energy, US Department of Agriculture
Proposal and extensive test of a calibration protocol for crop phenology models
D Wallach, T Palosuo, P Thorburn, H Mielenz, S Buis, Z Hochman, ...
Agronomy for Sustainable Development 43 (4), 46, 2023
Mandates: German Research Foundation, Academy of Finland, Federal Ministry of …
The chaos in calibrating crop models
D Wallach, T Palosuo, P Thorburn, Z Hochman, E Gourdain, ...
bioRxiv, 2020.09. 12.294744, 2020
Mandates: US Department of Agriculture, National Natural Science Foundation of China …
High spatial resolution seasonal crop yield forecasting for heterogeneous maize environments in Oromia, Ethiopia
K Tesfaye, R Takele, V Shelia, E Lemma, A Dabale, PCS Traore, ...
Climate Services 32, 100425, 2023
Mandates: CGIAR
Uncertainty in crop phenology simulations is driven primarily by parameter variability
D Wallach, T Palosuo, H Mielenz, S Buis, P Thorburn, S Asseng, ...
bioRxiv, 2023.02. 03.526931, 2023
Mandates: US Department of Agriculture, National Natural Science Foundation of China …
High Spatial Resolution Seasonal Crop Yield Forecasting for Heterogeneous Maize Environments in the Oromia Regional State, Ethiopia
K Tesfaye, R Takele, V Shelia, E Lemma, A Dabale, PCS Traore, ...
Ethiopia, 2022
Mandates: CGIAR
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