A multi-site experiment in a network of European fields for assessing the maize yield response to environmental scenarios (ICPSR doi:10.15454/IASSTN)

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Part 2: Study Description
Part 3: Data Files Description
Part 4: Variable Description
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Document Description

Citation

Title:

A multi-site experiment in a network of European fields for assessing the maize yield response to environmental scenarios

Identification Number:

doi:10.15454/IASSTN

Distributor:

Portail Data INRAE

Date of Distribution:

2019-03-27

Version:

2

Bibliographic Citation:

Millet, Emilie J.; Pommier, Cyril; Buy, Mélanie; Nagel, Axel; Kruijer, Willem; Welz-Bolduan, Therese; Lopez, Jeremy; Richard, Cécile; Racz, Ferenc; Tanzi, Franco; Spitkot, Tamas; Canè, Maria-Angela; Negro, Sandra S.; Coupel-Ledru, Aude; Nicolas, Stéphane D.; Palaffre, Carine; Bauland, Cyril; Praud, Sébastien; Ranc, Nicolas; Presterl, Thomas; Bedo, Zoltan; Tuberosa, Roberto; Usadel, Björn; Charcosset, Alain; van Eeuwijk, Fred A.; Draye, Xavier; Tardieu, François; Welcker, Claude, 2019, "A multi-site experiment in a network of European fields for assessing the maize yield response to environmental scenarios", https://doi.org/10.15454/IASSTN, Portail Data INRAE, V2, UNF:6:zF9w0A2f+MHeW7maeeXJWA== [fileUNF]

Study Description

Citation

Title:

A multi-site experiment in a network of European fields for assessing the maize yield response to environmental scenarios

Identification Number:

doi:10.15454/IASSTN

Authoring Entity:

Millet, Emilie J. (Biometris, Department of Plant Science, WUR, 6700 AA Wageningen, The Netherlands)

Pommier, Cyril (URGI, INRA, Route de Saint Cyr, 78026 Versaille, France)

Buy, Mélanie (URGI, INRA, Route de Saint Cyr, 78026 Versaille, France)

Nagel, Axel (IBMG, BioSC, RWTH Aachen University, 52074 Aachen, Germany)

Kruijer, Willem (Biometris, Department of Plant Science, WUR, 6700 AA Wageningen, The Netherlands)

Welz-Bolduan, Therese (KWS Saat SE, 37555 Einbeck, Germany)

Lopez, Jeremy (Limagrain, 63720 Chappes, France)

Richard, Cécile (Biogemma, 63720 Chappes, France)

Racz, Ferenc (Syngenta, Karcag, Hungary)

Tanzi, Franco (Syngenta Seeds, 26020 Casalmorano, Italy)

Spitkot, Tamas (MTA ATK/ AI CAR HAS Martonvasar Brunszvik ut 2 2462, Hungary)

Canè, Maria-Angela (Department of Agricultural Sciences (DipSA), University of Bologna, 40127 Bologna, Italy)

Negro, Sandra S. (GIGA-Medical Genomics, University of Liège, Belgium)

Coupel-Ledru, Aude (LEPSE, INRA, SupAgro, 34060 Montpellier, France)

Nicolas, Stéphane D. (GQE – Le Moulon, INRA, Univ. Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, 91190 Gif-sur-Yvette, France)

Palaffre, Carine (UE SMH Maïs, INRA, 40390 Saint-Martin-De-Hinx, France)

Bauland, Cyril (GQE – Le Moulon, INRA, Univ. Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, 91190 Gif-sur-Yvette, France)

Praud, Sébastien (Biogemma, 63720 Chappes, France)

Ranc, Nicolas (Syngenta France SAS, 31790, Saint-Sauveur, France)

Presterl, Thomas (KWS Saat SE, 37555 Einbeck, Germany)

Bedo, Zoltan (MTA ATK/ AI CAR HAS Martonvasar Brunszvik ut 2 2462, Hungary)

Tuberosa, Roberto (Department of Agricultural Sciences, University of Bologna, 40127 Bologna, Italy)

Usadel, Björn (IBMG, BioSC, RWTH Aachen University, 52074 Aachen, Germany)

Charcosset, Alain (GQE – Le Moulon, INRA, Univ. Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, 91190 Gif-sur-Yvette, France)

van Eeuwijk, Fred A. (Biometris, Department of Plant Science, Wageningen University & Research, 6700 AA Wageningen, The Netherlands)

Draye, Xavier (ELIA, UCL, 1348 Louvain-la-Neuve, Belgium)

Tardieu, François (LEPSE, INRA, SupAgro, 34060 Montpellier, France)

Welcker, Claude (LEPSE, INRA, SupAgro, 34060 Montpellier, France)

Other identifications and acknowledgements:

Welcker, Claude

Producer:

French National Research Institute for Agriculture

Grant Number:

FP7-244374

Distributor:

Portail Data INRAE

Distributor:

Pommier, Cyril

Access Authority:

Millet, Emilie J.

Access Authority:

Pommier, Cyril

Access Authority:

Welcker, Claude

Depositor:

Pommier, Cyril

Date of Deposit:

2018-10-10

Study Scope

Keywords:

Climate, Plant Breeding and Plant Products, Phenotyping, Envirotyping, Genotype-by-environment interaction, Multi-environment, Zea mays

Topic Classification:

Genetic variability of grain yield under changing climate

Abstract:

This dataset comes from the European Union project DROPS (DROught-tolerant yielding PlantS). A panel of 256 maize hybrids was grown with two water regimes (irrigated or rainfed), in seven fields in 2012 and 2013, respectively, spread along a climatic transect from western to eastern Europe, plus one site in Chile in 2013. This resulted in 29 experiments defined as the combination of one year, one site and one water regime, with two and three repetitions for rainfed and irrigated treatments, respectively. A detailed environmental characterisation was carried out, with hourly records of micrometeorological data and soil water status, and associated with precise measurement of phenology. Grain yield and its components were measured at the end of the experiment. The main purpose of this dataset consists in using the environmental characterisation to quantify the genetic variability of maize grain yield in response to the environmental drivers for genotype-by-environment interaction. For instance, allelic effects at QTLs identified over the field network are consistent within a scenario but largely differ between scenarios.

Time Period:

2011-2013

Date of Collection:

2011-2015

Kind of Data:

Dataset

Methodology and Processing

Sources Statement

Data Access

Notes:

<a rel="license" href="http://creativecommons.org/licenses/by-sa/4.0/"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by-sa/4.0/88x31.png" /></a><br />This work is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by-sa/4.0/">Creative Commons Attribution-ShareAlike 4.0 International License</a>.

Other Study Description Materials

Related Publications

Citation

Identification Number:

10.1104/pp.16.00621

Bibliographic Citation:

Genome-Wide Analysis of Yield in Europe: Allelic Effects Vary with Drought and Heat Scenarios. 2016. Emilie J. Millet, Claude Welcker, Willem Kruijer, Sandra Negro, Aude Coupel-Ledru, Stéphane D. Nicolas, Jacques Laborde, Cyril Bauland, Sebastien Praud, Nicolas Ranc, Thomas Presterl, Roberto Tuberosa, Zoltan Bedo, Xavier Draye, Björn Usadel, Alain Charcosset, Fred Van Eeuwijk & François Tardieu. 2016. Plant Physiology, 172 (2) 749-764

Citation

Identification Number:

https://doi.org/10.1038/s41588-019-0414-y

Bibliographic Citation:

Genomic prediction of maize yield across European environmental conditions. 2019. Emilie J. Millet, Willem Kruijer, Aude Coupel-Ledru, Santiago Alvarez Prado, Llorenç Cabrera-Bosquet, Sébastien Lacube, Alain Charcosset, Claude Welcker, Fred van Eeuwijk & François Tardieu. Nature Genetics, 51, 952–956

File Description--f95808

File: 1-Env_variables_daily-1.tab

  • Number of cases: 2633

  • No. of variables per record: 30

  • Type of File: text/tab-separated-values

Notes:

UNF:6:ubHZzvd3YZcP64UGsyUaww==

File Description--f95809

File: 2a-GrainYield_components_Plot_level-1.tab

  • Number of cases: 19358

  • No. of variables per record: 21

  • Type of File: text/tab-separated-values

Notes:

UNF:6:phDn6BYQMmku8afU5s3U0A==

File Description--f84060

File: 2b-GrainYield_components_BLUEs_level.tab

  • Number of cases: 7390

  • No. of variables per record: 14

  • Type of File: text/tab-separated-values

Notes:

UNF:6:RvroACo7JrvAJnOGz2autg==

File Description--f84061

File: 3-Indices_GenoEnv_level.tab

  • Number of cases: 6150

  • No. of variables per record: 16

  • Type of File: text/tab-separated-values

Notes:

UNF:6:kJtQpQTdt2QwE1cefrVilw==

File Description--f84062

File: 4-Genotypic_variables.tab

  • Number of cases: 246

  • No. of variables per record: 13

  • Type of File: text/tab-separated-values

Notes:

UNF:6:M2FS4P1d0irrFERDPuRsiA==

File Description--f83982

File: 5-Leaf_Stages_Plot_level.tab

  • Number of cases: 306

  • No. of variables per record: 8

  • Type of File: text/tab-separated-values

Notes:

UNF:6:ZrshAc+27bhVJwDcveem1w==

File Description--f95813

File: 6-Plant_Ref_Geno_level-1.tab

  • Number of cases: 830

  • No. of variables per record: 27

  • Type of File: text/tab-separated-values

Notes:

UNF:6:UMvI/mrx9OP74h15xrl0yQ==

File Description--f83984

File: 7a-Genotyping_50K_41722.tab

  • Number of cases: 246

  • No. of variables per record: 41723

  • Type of File: text/tab-separated-values

Notes:

UNF:6:RvLByT0PadG58Qsb6vxctQ==

File Description--f83985

File: 7b-InfoSNP_50K_41722.tab

  • Number of cases: 41722

  • No. of variables per record: 5

  • Type of File: text/tab-separated-values

Notes:

UNF:6:qX8c1+AJ/hlLdQM3pbL9bw==

File Description--f83981

File: 8-Info_Maize_variety.tab

  • Number of cases: 256

  • No. of variables per record: 13

  • Type of File: text/tab-separated-values

Notes:

UNF:6:CvjCsNsZylZz3bYvvbrilA==

Variable Description

List of Variables: