Simulation of winter wheat response to variable sowing dates and densities in a high-yielding environment
Sibylle Dueri
(1)
,
Hamish Brown
(2)
,
Senthold Asseng
(3)
,
Frank Ewert
(4, 5)
,
Heidi Webber
(4, 6)
,
Mike George
(2)
,
Rob Craigie
(7)
,
Jose Rafael Guarin
(8, 9)
,
Diego N L Pequeno
(10)
,
Tommaso Stella
(5, 4)
,
Mukhtar Ahmed
(11, 12)
,
Phillip D Alderman
(13)
,
Bruno Basso
(14)
,
Andres G Berger
(15)
,
Gennady Bracho Mujica
(16)
,
Davide Cammarano
(17)
,
Yi Chen
(18)
,
Benjamin Dumont
(19)
,
Ehsan Eyshi Rezaei
(4)
,
Elias Fereres
(20, 21)
,
Roberto Ferrise
(22)
,
Thomas Gaiser
(23)
,
Yujing Gao
(8)
,
Margarita Garcia-Vila
(20, 21)
,
Sebastian Gayler
(24)
,
Zvi Hochman
(25)
,
Gerrit Hoogenboom
(8)
,
Kurt C Kersebaum
(4, 16, 26)
,
Claas Nendel
(27, 4, 26)
,
Jørgen E Olesen
(17, 26)
,
Gloria Padovan
(22)
,
Taru Palosuo
(28)
,
Eckart Priesack
(29, 30, 31)
,
Johannes W M Pullens
(17)
,
Alfredo Rodríguez
(32, 33)
,
Reimund P Rötter
(16, 34)
,
Margarita Ruiz Ramos
(32)
,
Mikhail A Semenov
(35)
,
Nimai Senapati
(35)
,
Stefan Siebert
(34, 16)
,
Amit Kumar Srivastava
(5)
,
Claudio Stöckle
(36)
,
Iwan Supit
(37)
,
Fulu Tao
(18)
,
Peter Thorburn
(25)
,
Enli Wang
(25)
,
Tobias Karl David Weber
(24)
,
Liujun Xiao
(38, 39)
,
Chuang Zhao
(40)
,
Jin Zhao
(40, 17)
,
Zhigan Zhao
(25)
,
Yan Zhu
(39)
,
Pierre Martre
(1)
1
LEPSE -
Écophysiologie des Plantes sous Stress environnementaux
2 Plant & Food Research - The New Zealand Institute for Plant & Food Research Limited [Auckland]
3 TUM - Technische Universität Munchen - Technical University Munich - Université Technique de Munich
4 ZALF - Leibniz-Zentrum für Agrarlandschaftsforschung = Leibniz Centre for Agricultural Landscape Research
5 INRES - Institut für Nutzpflanzenwissenschaften und Ressourcenschutz
6 BTU - Brandenburg University of Technology [Cottbus – Senftenberg]
7 FAR - Foundation for Arable Research
8 UF - University of Florida [Gainesville]
9 Earth Institute at Columbia University
10 CIMMYT - International Maize and Wheat Improvement Center
11 SLU - Swedish University of Agricultural Sciences = Sveriges lantbruksuniversitet
12 AAUR - Pir Mehr Ali Shah Arid Agriculture University = PMAS-Arid Agriculture University Rawalpindi
13 OSU - Oklahoma State University [Stillwater]
14 Michigan State University [East Lansing]
15 INIA - Instituto Nacional de Investigación Agropecuaria
16 Georg-August-University = Georg-August-Universität Göttingen
17 Aarhus University [Aarhus]
18 IGSNRR - Institute of geographical sciences and natural resources research [CAS]
19 Gembloux Agro-Bio Tech [Gembloux]
20 IAS CSIC - Instituto de Agricultura Sostenible - Institute for Sustainable Agriculture
21 Universidad de Córdoba = University of Córdoba [Córdoba]
22 DAGRI - Department of Agriculture, Food, Environment and Forestry
23 INRES - Institute of Crop Science and Resource Conservation [Bonn]
24 University of Hohenheim
25 CSIRO - Commonwealth Scientific and Industrial Research Organisation [Canberra]
26 CzechGlobe - Global Change Research Centre
27 University of Potsdam = Universität Potsdam
28 LUKE - Natural Resources Institute Finland
29 Helmholtz Zentrum München = German Research Center for Environmental Health
30 German Research Center for Environmental Health - Helmholtz Center München (GmbH)
31 BIOP - Institute of Biochemical Plant Pathology
32 CEIGRAM - Centro de Estudios e Investigación para la Gestión de Riesgos Agrarios y Medioambientales
33 UCLM - Universidad de Castilla-La Mancha = University of Castilla-La Mancha
34 CBL - Centre for Biodiversity and Sustainable Land-use [University of Göttingen]
35 Rothamsted Research
36 WSU - Washington State University
37 WUR - Wageningen University and Research [Wageningen]
38 Zhejiang University
39 NAU - Nanjing Agricultural University
40 CAU - China Agricultural University
2 Plant & Food Research - The New Zealand Institute for Plant & Food Research Limited [Auckland]
3 TUM - Technische Universität Munchen - Technical University Munich - Université Technique de Munich
4 ZALF - Leibniz-Zentrum für Agrarlandschaftsforschung = Leibniz Centre for Agricultural Landscape Research
5 INRES - Institut für Nutzpflanzenwissenschaften und Ressourcenschutz
6 BTU - Brandenburg University of Technology [Cottbus – Senftenberg]
7 FAR - Foundation for Arable Research
8 UF - University of Florida [Gainesville]
9 Earth Institute at Columbia University
10 CIMMYT - International Maize and Wheat Improvement Center
11 SLU - Swedish University of Agricultural Sciences = Sveriges lantbruksuniversitet
12 AAUR - Pir Mehr Ali Shah Arid Agriculture University = PMAS-Arid Agriculture University Rawalpindi
13 OSU - Oklahoma State University [Stillwater]
14 Michigan State University [East Lansing]
15 INIA - Instituto Nacional de Investigación Agropecuaria
16 Georg-August-University = Georg-August-Universität Göttingen
17 Aarhus University [Aarhus]
18 IGSNRR - Institute of geographical sciences and natural resources research [CAS]
19 Gembloux Agro-Bio Tech [Gembloux]
20 IAS CSIC - Instituto de Agricultura Sostenible - Institute for Sustainable Agriculture
21 Universidad de Córdoba = University of Córdoba [Córdoba]
22 DAGRI - Department of Agriculture, Food, Environment and Forestry
23 INRES - Institute of Crop Science and Resource Conservation [Bonn]
24 University of Hohenheim
25 CSIRO - Commonwealth Scientific and Industrial Research Organisation [Canberra]
26 CzechGlobe - Global Change Research Centre
27 University of Potsdam = Universität Potsdam
28 LUKE - Natural Resources Institute Finland
29 Helmholtz Zentrum München = German Research Center for Environmental Health
30 German Research Center for Environmental Health - Helmholtz Center München (GmbH)
31 BIOP - Institute of Biochemical Plant Pathology
32 CEIGRAM - Centro de Estudios e Investigación para la Gestión de Riesgos Agrarios y Medioambientales
33 UCLM - Universidad de Castilla-La Mancha = University of Castilla-La Mancha
34 CBL - Centre for Biodiversity and Sustainable Land-use [University of Göttingen]
35 Rothamsted Research
36 WSU - Washington State University
37 WUR - Wageningen University and Research [Wageningen]
38 Zhejiang University
39 NAU - Nanjing Agricultural University
40 CAU - China Agricultural University
Sibylle Dueri
- Fonction : Auteur
- PersonId : 1179328
- ORCID : 0000-0001-9005-6136
Hamish Brown
- Fonction : Auteur
- PersonId : 1154512
- ORCID : 0000-0001-7798-8027
Senthold Asseng
- Fonction : Auteur
- PersonId : 1154513
- ORCID : 0000-0002-7583-3811
Frank Ewert
- Fonction : Auteur
- PersonId : 1154514
- ORCID : 0000-0002-4392-8154
Jose Rafael Guarin
- Fonction : Auteur
- PersonId : 1154515
- ORCID : 0000-0002-3167-4329
Diego N L Pequeno
- Fonction : Auteur
- PersonId : 1154516
- ORCID : 0000-0002-5463-3319
Gennady Bracho Mujica
- Fonction : Auteur
- PersonId : 1154517
- ORCID : 0000-0002-6988-6781
Davide Cammarano
- Fonction : Auteur
- PersonId : 1154518
- ORCID : 0000-0003-0918-550X
Ehsan Eyshi Rezaei
- Fonction : Auteur
- PersonId : 1154519
- ORCID : 0000-0003-2603-8034
Roberto Ferrise
- Fonction : Auteur
- PersonId : 1154520
- ORCID : 0000-0001-8236-7823
Zvi Hochman
- Fonction : Auteur
- PersonId : 1154521
- ORCID : 0000-0002-6217-5231
Taru Palosuo
- Fonction : Auteur
- PersonId : 1154523
- ORCID : 0000-0003-4322-3450
Johannes W M Pullens
- Fonction : Auteur
- PersonId : 1154525
- ORCID : 0000-0003-4581-6444
Reimund P Rötter
- Fonction : Auteur
- PersonId : 1154526
- ORCID : 0000-0002-3804-9964
Mikhail A Semenov
- Fonction : Auteur
- PersonId : 774453
- ORCID : 0000-0002-1561-7113
Tobias Karl David Weber
- Fonction : Auteur
- PersonId : 1154528
- ORCID : 0000-0002-3448-5208
Zhigan Zhao
- Fonction : Auteur
- PersonId : 1154529
- ORCID : 0000-0003-1533-7215
Pierre Martre
- Fonction : Auteur
- PersonId : 183362
- IdHAL : pierre-martre
- ORCID : 0000-0002-7419-6558
- IdRef : 163589194
Résumé
Crop multi-model ensembles (MME) have proven to be effective in increasing the accuracy of simulations in modelling experiments. However, the ability of MME to capture crop responses to changes in sowing dates and densities has not yet been investigated. These management interventions are some of the main levers for adapting cropping systems to climate change. Here, we explore the performance of a MME of 29 wheat crop models to predict the effect of changing sowing dates and rates on yield and yield components, on two sites located in a high-yielding environment in New Zealand. The experiment was conducted for 6 years and provided 50 combinations of sowing date, sowing density and growing season. We show that the MME simulates seasonal growth of wheat well under standard sowing conditions, but fails under early sowing and high sowing rates. The comparison between observed and simulated in-season fraction of intercepted photosynthetically active radiation (FIPAR) for early sown wheat shows that the MME does not capture the decrease of crop above ground biomass during winter months due to senescence. Models need to better account for tiller competition for light, nutrients, and water during vegetative growth, and early tiller senescence and tiller mortality, which are exacerbated by early sowing, high sowing densities, and warmer winter temperatures.
Origine : Publication financée par une institution
