Evidence map›Paper›PMID 35728801›Full record

ArticleJournal of experimental botany2022

Simulation of winter wheat response to variable sowing dates and densities in a high-yielding environment.

Sibylle Dueri, Hamish Brown, Senthold Asseng, Frank Ewert, Heidi Webber, Mike George, Rob Craigie, Jose Rafael Guarin, Diego N L Pequeno, Tommaso Stella and 43 more

Abstract read
In one paragraph

Article in Journal of experimental botany, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

53 authors.

Sibylle DueriLEPSE, Univ. Montpellier, INRAE, Institut Agro Montpellier, Montpellier, France.
Hamish BrownThe New Zealand Institute for Plant & Food Research Limited, Christchurch, New Zealand.ORCID 0000-0001-7798-8027
Senthold AssengDepartment of Life Science Engineering, Digital Agriculture, Technical University of Munich, Freising, Germany.ORCID 0000-0002-7583-3811
Frank EwertInstitute of Crop Science and Resource Conservation INRES, University of Bonn, Bonn, Germany.ORCID 0000-0002-4392-8154
Heidi WebberLeibniz Centre for Agricultural Landscape Research, Müncheberg, Germany.ORCID 0000-0001-8301-5424
Mike GeorgeThe New Zealand Institute for Plant & Food Research Limited, Christchurch, New Zealand.
Rob CraigieFoundation for Arable Research, Templeton, New Zealand.
Jose Rafael GuarinAgricultural & Biological Engineering Department, University of Florida, Gainesville, FL, USA.ORCID 0000-0002-3167-4329
Diego N L PequenoInternational Maize and Wheat Improvement Center (CIMMYT), Mexico DF, Mexico.ORCID 0000-0002-5463-3319
Tommaso StellaInstitute of Crop Science and Resource Conservation INRES, University of Bonn, Bonn, Germany.
Mukhtar AhmedDepartment of Agronomy, Pir Mehr Ali Shah Arid Agriculture University, Rawalpindi, Pakistan.
Phillip D AldermanDepartment of Plant and Soil Sciences, Oklahoma State University, Stillwater, OK, USA.
Bruno BassoDepartment of Earth and Environmental Sciences, Michigan State University, East Lansing, MI, USA.
Andres G BergerNational Institute of Agricultural Research (INIA), Colonia, Uruguay.
Gennady Bracho MujicaTropical Plant Production and Agricultural Systems Modelling (TROPAGS), University of Göttingen, Göttingen, Germany.ORCID 0000-0002-6988-6781
Davide CammaranoDepartment of Agroecology, Aarhus University, Tjele, Denmark.ORCID 0000-0003-0918-550X
Yi ChenInstitute of Geographical Sciences and Natural Resources Research, Chinese Academy of Science, Beijing, China.
Benjamin DumontPlant Sciences Axis - Crop Science, Gembloux Agro-Bio Tech, University of Liege, Gembloux, Belgium.
Ehsan Eyshi RezaeiLeibniz Centre for Agricultural Landscape Research, Müncheberg, Germany.ORCID 0000-0003-2603-8034
Elias FereresIAS-CSIC & DAUCO, University of Cordoba, Cordoba, Spain.
Roberto FerriseDepartment of Agriculture, food, environment and forestry (DAGRI), University of Florence, Florence, Italy.ORCID 0000-0001-8236-7823
Thomas GaiserInstitute of Crop Science and Resource Conservation INRES, University of Bonn, Bonn, Germany.
Yujing GaoAgricultural & Biological Engineering Department, University of Florida, Gainesville, FL, USA.
Margarita Garcia-VilaIAS-CSIC & DAUCO, University of Cordoba, Cordoba, Spain.
Sebastian GaylerInstitute of Soil Science and Land Evaluation, University of Hohenheim, Stuttgart, Germany.
Zvi HochmanCSIRO Agriculture and Food, Brisbane, Queensland, Australia.ORCID 0000-0002-6217-5231
Gerrit HoogenboomAgricultural & Biological Engineering Department, University of Florida, Gainesville, FL, USA.
Kurt C KersebaumLeibniz Centre for Agricultural Landscape Research, Müncheberg, Germany.ORCID 0000-0002-3679-8427
Claas NendelLeibniz Centre for Agricultural Landscape Research, Müncheberg, Germany.ORCID 0000-0001-7608-9097
Jørgen E OlesenDepartment of Agroecology, Aarhus University, Tjele, Denmark.
Gloria PadovanDepartment of Agriculture, food, environment and forestry (DAGRI), University of Florence, Florence, Italy.
Taru PalosuoNatural Resources Institute Finland (Luke), Helsinki, Finland.ORCID 0000-0003-4322-3450
Eckart PriesackInstitute of Biochemical Plant Pathology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany.ORCID 0000-0002-5088-9528
Johannes W M PullensDepartment of Agroecology, Aarhus University, Tjele, Denmark.ORCID 0000-0003-4581-6444
Alfredo RodríguezCEIGRAM, Technical University of Madrid, Madrid, Spain.
Reimund P RötterTropical Plant Production and Agricultural Systems Modelling (TROPAGS), University of Göttingen, Göttingen, Germany.ORCID 0000-0002-3804-9964
Margarita Ruiz RamosCEIGRAM, Technical University of Madrid, Madrid, Spain.
Mikhail A SemenovRothamsted Research, Harpenden, UK.ORCID 0000-0002-1561-7113
Nimai SenapatiRothamsted Research, Harpenden, UK.ORCID 0000-0002-0238-6694
Stefan SiebertCentre of Biodiversity and Sustainable Land Use (CBL), University of Göttingen, Göttingen, Germany.
Amit Kumar SrivastavaInstitute of Crop Science and Resource Conservation INRES, University of Bonn, Bonn, Germany.
Claudio StöckleBiological Systems Engineering, Washington State University, Pullman, WA, USA.
Iwan SupitWater Systems & Global Change Group, Wageningen University, Wageningen, The Netherlands.
Fulu TaoInstitute of Geographical Sciences and Natural Resources Research, Chinese Academy of Science, Beijing, China.
Peter ThorburnCSIRO Agriculture and Food, Brisbane, Queensland, Australia.
Enli WangCSIRO Agriculture and Food, Canberra, Australian Capital Territory, Australia.
Tobias Karl David WeberInstitute of Soil Science and Land Evaluation, University of Hohenheim, Stuttgart, Germany.ORCID 0000-0002-3448-5208
Liujun XiaoCollege of Environmental and Resource Sciences, Zhejiang University, Hangzhou, Zhejiang, China.
Chuang ZhaoCollege of Resources and Environmental Sciences, China Agricultural University, Beijing, China.
Jin ZhaoDepartment of Agroecology, Aarhus University, Tjele, Denmark.
Zhigan ZhaoCSIRO Agriculture and Food, Canberra, Australian Capital Territory, Australia.ORCID 0000-0003-1533-7215
Yan ZhuNational Engineering and Technology Center for Information Agriculture, Key Laboratory for Crop System Analysis and Decision Making, Ministry of Agriculture, Jiangsu Key Laboratory for Information Agriculture, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, China.
Pierre MartreLEPSE, Univ. Montpellier, INRAE, Institut Agro Montpellier, Montpellier, France.ORCID 0000-0002-7419-6558

Funding

Academy of Finland 316215Achieving Sustainable Agricultural Systems NE/N018125/1BARISTA project 031B0811ABiotechnology and Biological Sciences Research Council BB/P016855/1Deutsche Forschungsgemeinschaft EXC 2070 - 390732324French National Research Institute for Agriculture, FoodGerman Federal Ministry of Education and Research 031B0026AGerman Federal Ministry of Education and Research 031B0513IGerman Research Foundation 1253/1 2017International Maize and Wheat Improvement CenterInternational Wheat Yield Partnership IWYP115Ministry of Education, Youth and Sports of Czech Republic CZ.02.1.01/0.0/0.0/16_019/000797National Natural Science Foundation of China 31761143006
6 · The paper itself

Abstract

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.

Indexed as

Climate ChangeTriticumBiomassSeasonsTemperatureMulti-model ensemblesowing datesowing densitytilleringtiller mortalitywheatyield potential

Identifiers

PMID35728801
PMCPMC9467659

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.