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Journal Articles Agricultural and Forest Meteorology Year : 2023

Simulation of evapotranspiration and yield of maize

1 USDA - USDA Agricultural Research Service [Maricopa, AZ]
2 UF - University of Florida [Gainesville]
3 WSU - Washington State University
4 University of Nebraska System
5 USDA-ARS : Agricultural Research Service
6 UNIMI - Università degli Studi di Milano = University of Milan
7 Agronomy Group, Gorgan University of Agricultural Sciences and Natural Resources
8 ISU - Iowa State University
9 UMR 228 Espace-Dev, Espace pour le développement
10 Michigan State University [East Lansing]
11 AGROCLIM - Agroclim
12 AGIR - AGroécologie, Innovations, teRritoires
13 QUT - Queensland University of Technology [Brisbane]
14 Gembloux Agro-Bio Tech [Gembloux]
15 P3F - Unité de Recherche Pluridisciplinaire Prairies et Plantes Fourragères
16 CZU - Czech University of Life Sciences Prague
17 INRES - Institute of Crop Science and Resource Conservation [Bonn]
18 CREA - Consiglio per la Ricerca in Agricoltura e l’analisi dell’economia agraria = Council for Agricultural Research and Economics
19 University of Hohenheim
20 Unità di ricerca per i sistemi colturali degli ambienti caldo-aridi
21 Royal College Physicians, London
22 University of Illinois at Urbana-Champaign [Urbana]
23 School of Environmental and Forest Sciences
24 UPM - Universidad Politécnica de Madrid
25 IHE Delft - Institute for Water Education
26 CAU - China Agricultural University
27 IAFE - Instituto de Astronomía y Física del Espacio [Buenos Aires]
28 University of Illinois [Springfield]
29 HIU - Helmholtz Institute Ulm
30 McGill University = Université McGill [Montréal, Canada]
31 UC Davis - University of California [Davis]
32 GAU - Gorgan University of Agriculture and Natural Resources
33 Universität Bonn = University of Bonn
34 University of Pretoria [South Africa]
35 USDA Agricultural Research Service [Beltsville, Maryland]
36 ZALF - Leibniz-Zentrum für Agrarlandschaftsforschung = Leibniz Centre for Agricultural Landscape Research
37 Universität Hohenheim
38 University of Exeter
39 CREA-AA - Centro di Ricerca Agricoltura e Ambiente [CREA]
40 UIC - University of Illinois [Chicago]
Sotirios Archontoulis
Zoltán Barcza
Patrick Bertuzzi
  • Function : Author
Benjamin Dumont
Sebastian Gayler
Gerrit Hoogenboom
Qianjing Jiang
  • Function : Author
Isaya Kisekka
  • Function : Author
Ahmed Mukhtar
  • Function : Author
Alessia Perego
  • Function : Author
Vakhtang Shelia
Aimee Thomson
Tobias Weber
Magali Willaume
Karina Williams
Wang Zhou


Accurate simulation of crop water use (evapotranspiration, ET) can help crop growth models to assess the likely effects of climate change on future crop productivity, as well as being an aid for irrigation scheduling for today's growers. To determine how well maize (Zea mays L.) growth models can simulate ET, an initial inter-comparison study was conducted in 2019 under the umbrella of AgMIP (Agricultural Model Inter-Comparison and Improvement Project). Herein, we present results of a second inter-comparison study of 41 maize models that was conducted using more comprehensive datasets from two additional sites - Mead, Nebraska, USA and Bushland, Texas, USA. There were 20 treatment-years with varying irrigation levels over multiple seasons at both sites. ET was measured using eddy covariance at Mead and using large weighing lysimeters at Bushland. A wide range in ET rates was simulated among the models, yet several generally were able to simulate ET rates adequately. The ensemble median values were generally close to the observations, but a few of the models sometimes performed better than the median. Many of the models that did well at simulating ET for the Mead site did poorly for drier, windy days at the Bushland site, suggesting they need to improve how they handle humidity and wind. Additional variability came from the approaches used to simulate soil water evaporation. Fortunately, several models were identified that did well at simulating soil water evaporation, canopy transpiration, biomass accumulation, and grain yield. These models were older and have been widely used, which suggests that a larger number of users have tested these models over a wider range of conditions leading to their improvement. These revelations of the better approaches are leading to model improvements and more accurate simulations of ET.
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Dates and versions

hal-04112537 , version 1 (28-08-2023)





Bruce Kimball, Kelly Thorp, Kenneth Boote, Claudio Stockle, Andrew Suyker, et al.. Simulation of evapotranspiration and yield of maize: An inter-comparison among 41 maize models. Agricultural and Forest Meteorology, 2023, 333, pp.109396. ⟨10.1016/j.agrformet.2023.109396⟩. ⟨hal-04112537⟩
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