Simulation of evapotranspiration and yield of maize
Bruce Kimball
(1)
,
Kelly Thorp
(1)
,
Kenneth Boote
(2)
,
Claudio Stockle
(3)
,
Andrew Suyker
(4)
,
Steven Evett
(5)
,
David Brauer
(5)
,
Gwen Coyle
(5)
,
Karen Copeland
(5)
,
Gary Marek
(5)
,
Paul Colaizzi
(5)
,
Marco Acutis
(6)
,
Seyyedmajid Alimagham
(7)
,
Sotirios Archontoulis
(8)
,
Faye Babacar
(9)
,
Zoltán Barcza
,
Bruno Basso
(10)
,
Patrick Bertuzzi
(11)
,
Julie Constantin
(12)
,
Massimiliano de Antoni Migliorati
(13)
,
Benjamin Dumont
(14)
,
Jean-Louis Durand
(15)
,
Nándor Fodor
(16)
,
Thomas Gaiser
(17)
,
Pasquale Garofalo
(18)
,
Sebastian Gayler
(19)
,
Luisa Giglio
(20)
,
Robert Grant
(21)
,
Kaiyu Guan
(22)
,
Gerrit Hoogenboom
(2)
,
Qianjing Jiang
,
Soo-Hyung Kim
(23)
,
Isaya Kisekka
,
Jon Lizaso
(24)
,
Sara Masia
(25)
,
Huimin Meng
(26)
,
Valentina Mereu
(27)
,
Ahmed Mukhtar
,
Alessia Perego
,
Bin Peng
(28)
,
Eckart Priesack
(29)
,
Zhiming Qi
(30)
,
Vakhtang Shelia
(2)
,
Richard Snyder
(31)
,
Afshin Soltani
(32)
,
Donatella Spano
(27)
,
Amit Srivastava
(33)
,
Aimee Thomson
(34)
,
Dennis Timlin
(35)
,
Antonio Trabucco
(27)
,
Heidi Webber
(36)
,
Tobias Weber
(37)
,
Magali Willaume
(12)
,
Karina Williams
(38)
,
Michael van der Laan
(34)
,
Domenico Ventrella
(39)
,
Michelle Viswanathan
(37)
,
Xu Xu
(26)
,
Wang Zhou
(40)
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 UIUC - 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]
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 UIUC - 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]
Bruce Kimball
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Kelly Thorp
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Seyyedmajid Alimagham
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Sotirios Archontoulis
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Zoltán Barcza
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Julie Constantin
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Massimiliano de Antoni Migliorati
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Benjamin Dumont
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Jean-Louis Durand
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Thomas Gaiser
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Sebastian Gayler
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Gerrit Hoogenboom
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Qianjing Jiang
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Soo-Hyung Kim
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Isaya Kisekka
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Valentina Mereu
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Ahmed Mukhtar
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Alessia Perego
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Vakhtang Shelia
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Aimee Thomson
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Antonio Trabucco
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Magali Willaume
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Karina Williams
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Domenico Ventrella
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Wang Zhou
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Résumé
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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Licence : CC BY NC ND - Paternité - Pas d'utilisation commerciale - Pas de modification
Licence : CC BY NC ND - Paternité - Pas d'utilisation commerciale - Pas de modification