AraDiv: A dataset of functional traits and leaf hyperspectral reflectance of Arabidopsis thaliana

Data from functional trait databases have been increasingly used to address questions related to plant diversity and trait-environment relationships. However, such databases provide intraspecific data that combine individual records obtained from distinct populations at different sites and, hence, environmental conditions. This prevents distinguishing sources of variation (e.g., genetic-based variation vs. phenotypic plasticity), a necessary condition to test for adaptive processes and other determinants of plant phenotypic diversity. Consequently, individual traits measured under common growing conditions and encompassing within-species variation across the occupied geographic range have the potential to leverage trait databases with valuable data for functional and evolutionary ecology. Here, we recorded 16 functional traits and leaf hyperspectral reflectance (NIRS) data for 721 widely distributed Arabidopsis thaliana natural accessions grown in a common garden experiment. These data records, together with meteorological variables obtained during the experiment, were assembled to create the AraDiv dataset. AraDiv is a comprehensive dataset of A. thaliana's intraspecific variability that can be explored to address questions at the interface of genetics and ecology.

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Main Authors: Przybylska, Stefania, Violle, Cyrille, Vile, Denis, Scheepens, J.F., Lacombe, Benoit, Le Roux, Xavier, Perrier, Lisa, Sales-Mabily, Lou, Laumond, Mariette, Vinyeta, Mariona, Moulin, Pierre, Beurier, Grégory, Rouan, Lauriane, Cornet, Denis, Vasseur, François
Format: article biblioteca
Language:eng
Subjects:F40 - Écologie végétale, F30 - Génétique et amélioration des plantes, U10 - Informatique, mathématiques et statistiques, Arabidopsis thaliana, phénotype, banque de données, spectroscopie infrarouge, Arabidopsis, facteur du milieu, variation génétique, plasticité phénotypique, évolution, distribution géographique, feuille, écologie, Réflectance, variation phénotypique, http://aims.fao.org/aos/agrovoc/c_33292, http://aims.fao.org/aos/agrovoc/c_5776, http://aims.fao.org/aos/agrovoc/c_24833, http://aims.fao.org/aos/agrovoc/c_28568, http://aims.fao.org/aos/agrovoc/c_33291, http://aims.fao.org/aos/agrovoc/c_2594, http://aims.fao.org/aos/agrovoc/c_15975, http://aims.fao.org/aos/agrovoc/c_12386358, http://aims.fao.org/aos/agrovoc/c_2745, http://aims.fao.org/aos/agrovoc/c_5083, http://aims.fao.org/aos/agrovoc/c_4243, http://aims.fao.org/aos/agrovoc/c_2467, http://aims.fao.org/aos/agrovoc/c_28538, http://aims.fao.org/aos/agrovoc/c_903c4959, http://aims.fao.org/aos/agrovoc/c_3081,
Online Access:http://agritrop.cirad.fr/604781/
http://agritrop.cirad.fr/604781/1/Przybylska%20et%20al.%202023%20-%20AraDiv%20a%20dataset%20of%20functional%20traits%20and%20leaf%20hyperspectral%20reflectance%20of%20Arabidopsis%20thaliana.pdf
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id dig-cirad-fr-604781
record_format koha
institution CIRAD FR
collection DSpace
country Francia
countrycode FR
component Bibliográfico
access En linea
databasecode dig-cirad-fr
tag biblioteca
region Europa del Oeste
libraryname Biblioteca del CIRAD Francia
language eng
topic F40 - Écologie végétale
F30 - Génétique et amélioration des plantes
U10 - Informatique, mathématiques et statistiques
Arabidopsis thaliana
phénotype
banque de données
spectroscopie infrarouge
Arabidopsis
facteur du milieu
variation génétique
plasticité phénotypique
évolution
distribution géographique
feuille
écologie
Réflectance
variation phénotypique
http://aims.fao.org/aos/agrovoc/c_33292
http://aims.fao.org/aos/agrovoc/c_5776
http://aims.fao.org/aos/agrovoc/c_24833
http://aims.fao.org/aos/agrovoc/c_28568
http://aims.fao.org/aos/agrovoc/c_33291
http://aims.fao.org/aos/agrovoc/c_2594
http://aims.fao.org/aos/agrovoc/c_15975
http://aims.fao.org/aos/agrovoc/c_12386358
http://aims.fao.org/aos/agrovoc/c_2745
http://aims.fao.org/aos/agrovoc/c_5083
http://aims.fao.org/aos/agrovoc/c_4243
http://aims.fao.org/aos/agrovoc/c_2467
http://aims.fao.org/aos/agrovoc/c_28538
http://aims.fao.org/aos/agrovoc/c_903c4959
http://aims.fao.org/aos/agrovoc/c_3081
F40 - Écologie végétale
F30 - Génétique et amélioration des plantes
U10 - Informatique, mathématiques et statistiques
Arabidopsis thaliana
phénotype
banque de données
spectroscopie infrarouge
Arabidopsis
facteur du milieu
variation génétique
plasticité phénotypique
évolution
distribution géographique
feuille
écologie
Réflectance
variation phénotypique
http://aims.fao.org/aos/agrovoc/c_33292
http://aims.fao.org/aos/agrovoc/c_5776
http://aims.fao.org/aos/agrovoc/c_24833
http://aims.fao.org/aos/agrovoc/c_28568
http://aims.fao.org/aos/agrovoc/c_33291
http://aims.fao.org/aos/agrovoc/c_2594
http://aims.fao.org/aos/agrovoc/c_15975
http://aims.fao.org/aos/agrovoc/c_12386358
http://aims.fao.org/aos/agrovoc/c_2745
http://aims.fao.org/aos/agrovoc/c_5083
http://aims.fao.org/aos/agrovoc/c_4243
http://aims.fao.org/aos/agrovoc/c_2467
http://aims.fao.org/aos/agrovoc/c_28538
http://aims.fao.org/aos/agrovoc/c_903c4959
http://aims.fao.org/aos/agrovoc/c_3081
spellingShingle F40 - Écologie végétale
F30 - Génétique et amélioration des plantes
U10 - Informatique, mathématiques et statistiques
Arabidopsis thaliana
phénotype
banque de données
spectroscopie infrarouge
Arabidopsis
facteur du milieu
variation génétique
plasticité phénotypique
évolution
distribution géographique
feuille
écologie
Réflectance
variation phénotypique
http://aims.fao.org/aos/agrovoc/c_33292
http://aims.fao.org/aos/agrovoc/c_5776
http://aims.fao.org/aos/agrovoc/c_24833
http://aims.fao.org/aos/agrovoc/c_28568
http://aims.fao.org/aos/agrovoc/c_33291
http://aims.fao.org/aos/agrovoc/c_2594
http://aims.fao.org/aos/agrovoc/c_15975
http://aims.fao.org/aos/agrovoc/c_12386358
http://aims.fao.org/aos/agrovoc/c_2745
http://aims.fao.org/aos/agrovoc/c_5083
http://aims.fao.org/aos/agrovoc/c_4243
http://aims.fao.org/aos/agrovoc/c_2467
http://aims.fao.org/aos/agrovoc/c_28538
http://aims.fao.org/aos/agrovoc/c_903c4959
http://aims.fao.org/aos/agrovoc/c_3081
F40 - Écologie végétale
F30 - Génétique et amélioration des plantes
U10 - Informatique, mathématiques et statistiques
Arabidopsis thaliana
phénotype
banque de données
spectroscopie infrarouge
Arabidopsis
facteur du milieu
variation génétique
plasticité phénotypique
évolution
distribution géographique
feuille
écologie
Réflectance
variation phénotypique
http://aims.fao.org/aos/agrovoc/c_33292
http://aims.fao.org/aos/agrovoc/c_5776
http://aims.fao.org/aos/agrovoc/c_24833
http://aims.fao.org/aos/agrovoc/c_28568
http://aims.fao.org/aos/agrovoc/c_33291
http://aims.fao.org/aos/agrovoc/c_2594
http://aims.fao.org/aos/agrovoc/c_15975
http://aims.fao.org/aos/agrovoc/c_12386358
http://aims.fao.org/aos/agrovoc/c_2745
http://aims.fao.org/aos/agrovoc/c_5083
http://aims.fao.org/aos/agrovoc/c_4243
http://aims.fao.org/aos/agrovoc/c_2467
http://aims.fao.org/aos/agrovoc/c_28538
http://aims.fao.org/aos/agrovoc/c_903c4959
http://aims.fao.org/aos/agrovoc/c_3081
Przybylska, Stefania
Violle, Cyrille
Vile, Denis
Scheepens, J.F.
Lacombe, Benoit
Le Roux, Xavier
Perrier, Lisa
Sales-Mabily, Lou
Laumond, Mariette
Vinyeta, Mariona
Moulin, Pierre
Beurier, Grégory
Rouan, Lauriane
Cornet, Denis
Vasseur, François
AraDiv: A dataset of functional traits and leaf hyperspectral reflectance of Arabidopsis thaliana
description Data from functional trait databases have been increasingly used to address questions related to plant diversity and trait-environment relationships. However, such databases provide intraspecific data that combine individual records obtained from distinct populations at different sites and, hence, environmental conditions. This prevents distinguishing sources of variation (e.g., genetic-based variation vs. phenotypic plasticity), a necessary condition to test for adaptive processes and other determinants of plant phenotypic diversity. Consequently, individual traits measured under common growing conditions and encompassing within-species variation across the occupied geographic range have the potential to leverage trait databases with valuable data for functional and evolutionary ecology. Here, we recorded 16 functional traits and leaf hyperspectral reflectance (NIRS) data for 721 widely distributed Arabidopsis thaliana natural accessions grown in a common garden experiment. These data records, together with meteorological variables obtained during the experiment, were assembled to create the AraDiv dataset. AraDiv is a comprehensive dataset of A. thaliana's intraspecific variability that can be explored to address questions at the interface of genetics and ecology.
format article
topic_facet F40 - Écologie végétale
F30 - Génétique et amélioration des plantes
U10 - Informatique, mathématiques et statistiques
Arabidopsis thaliana
phénotype
banque de données
spectroscopie infrarouge
Arabidopsis
facteur du milieu
variation génétique
plasticité phénotypique
évolution
distribution géographique
feuille
écologie
Réflectance
variation phénotypique
http://aims.fao.org/aos/agrovoc/c_33292
http://aims.fao.org/aos/agrovoc/c_5776
http://aims.fao.org/aos/agrovoc/c_24833
http://aims.fao.org/aos/agrovoc/c_28568
http://aims.fao.org/aos/agrovoc/c_33291
http://aims.fao.org/aos/agrovoc/c_2594
http://aims.fao.org/aos/agrovoc/c_15975
http://aims.fao.org/aos/agrovoc/c_12386358
http://aims.fao.org/aos/agrovoc/c_2745
http://aims.fao.org/aos/agrovoc/c_5083
http://aims.fao.org/aos/agrovoc/c_4243
http://aims.fao.org/aos/agrovoc/c_2467
http://aims.fao.org/aos/agrovoc/c_28538
http://aims.fao.org/aos/agrovoc/c_903c4959
http://aims.fao.org/aos/agrovoc/c_3081
author Przybylska, Stefania
Violle, Cyrille
Vile, Denis
Scheepens, J.F.
Lacombe, Benoit
Le Roux, Xavier
Perrier, Lisa
Sales-Mabily, Lou
Laumond, Mariette
Vinyeta, Mariona
Moulin, Pierre
Beurier, Grégory
Rouan, Lauriane
Cornet, Denis
Vasseur, François
author_facet Przybylska, Stefania
Violle, Cyrille
Vile, Denis
Scheepens, J.F.
Lacombe, Benoit
Le Roux, Xavier
Perrier, Lisa
Sales-Mabily, Lou
Laumond, Mariette
Vinyeta, Mariona
Moulin, Pierre
Beurier, Grégory
Rouan, Lauriane
Cornet, Denis
Vasseur, François
author_sort Przybylska, Stefania
title AraDiv: A dataset of functional traits and leaf hyperspectral reflectance of Arabidopsis thaliana
title_short AraDiv: A dataset of functional traits and leaf hyperspectral reflectance of Arabidopsis thaliana
title_full AraDiv: A dataset of functional traits and leaf hyperspectral reflectance of Arabidopsis thaliana
title_fullStr AraDiv: A dataset of functional traits and leaf hyperspectral reflectance of Arabidopsis thaliana
title_full_unstemmed AraDiv: A dataset of functional traits and leaf hyperspectral reflectance of Arabidopsis thaliana
title_sort aradiv: a dataset of functional traits and leaf hyperspectral reflectance of arabidopsis thaliana
url http://agritrop.cirad.fr/604781/
http://agritrop.cirad.fr/604781/1/Przybylska%20et%20al.%202023%20-%20AraDiv%20a%20dataset%20of%20functional%20traits%20and%20leaf%20hyperspectral%20reflectance%20of%20Arabidopsis%20thaliana.pdf
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spelling dig-cirad-fr-6047812024-01-29T05:57:24Z http://agritrop.cirad.fr/604781/ http://agritrop.cirad.fr/604781/ AraDiv: A dataset of functional traits and leaf hyperspectral reflectance of Arabidopsis thaliana. Przybylska Stefania, Violle Cyrille, Vile Denis, Scheepens J.F., Lacombe Benoit, Le Roux Xavier, Perrier Lisa, Sales-Mabily Lou, Laumond Mariette, Vinyeta Mariona, Moulin Pierre, Beurier Grégory, Rouan Lauriane, Cornet Denis, Vasseur François. 2023. Scientific Data, 10:314, 8 p.https://doi.org/10.1038/s41597-023-02189-w <https://doi.org/10.1038/s41597-023-02189-w> AraDiv: A dataset of functional traits and leaf hyperspectral reflectance of Arabidopsis thaliana Przybylska, Stefania Violle, Cyrille Vile, Denis Scheepens, J.F. Lacombe, Benoit Le Roux, Xavier Perrier, Lisa Sales-Mabily, Lou Laumond, Mariette Vinyeta, Mariona Moulin, Pierre Beurier, Grégory Rouan, Lauriane Cornet, Denis Vasseur, François eng 2023 Scientific Data F40 - Écologie végétale F30 - Génétique et amélioration des plantes U10 - Informatique, mathématiques et statistiques Arabidopsis thaliana phénotype banque de données spectroscopie infrarouge Arabidopsis facteur du milieu variation génétique plasticité phénotypique évolution distribution géographique feuille écologie Réflectance variation phénotypique http://aims.fao.org/aos/agrovoc/c_33292 http://aims.fao.org/aos/agrovoc/c_5776 http://aims.fao.org/aos/agrovoc/c_24833 http://aims.fao.org/aos/agrovoc/c_28568 http://aims.fao.org/aos/agrovoc/c_33291 http://aims.fao.org/aos/agrovoc/c_2594 http://aims.fao.org/aos/agrovoc/c_15975 http://aims.fao.org/aos/agrovoc/c_12386358 http://aims.fao.org/aos/agrovoc/c_2745 http://aims.fao.org/aos/agrovoc/c_5083 http://aims.fao.org/aos/agrovoc/c_4243 http://aims.fao.org/aos/agrovoc/c_2467 http://aims.fao.org/aos/agrovoc/c_28538 http://aims.fao.org/aos/agrovoc/c_903c4959 France http://aims.fao.org/aos/agrovoc/c_3081 Data from functional trait databases have been increasingly used to address questions related to plant diversity and trait-environment relationships. However, such databases provide intraspecific data that combine individual records obtained from distinct populations at different sites and, hence, environmental conditions. This prevents distinguishing sources of variation (e.g., genetic-based variation vs. phenotypic plasticity), a necessary condition to test for adaptive processes and other determinants of plant phenotypic diversity. Consequently, individual traits measured under common growing conditions and encompassing within-species variation across the occupied geographic range have the potential to leverage trait databases with valuable data for functional and evolutionary ecology. Here, we recorded 16 functional traits and leaf hyperspectral reflectance (NIRS) data for 721 widely distributed Arabidopsis thaliana natural accessions grown in a common garden experiment. These data records, together with meteorological variables obtained during the experiment, were assembled to create the AraDiv dataset. AraDiv is a comprehensive dataset of A. thaliana's intraspecific variability that can be explored to address questions at the interface of genetics and ecology. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/604781/1/Przybylska%20et%20al.%202023%20-%20AraDiv%20a%20dataset%20of%20functional%20traits%20and%20leaf%20hyperspectral%20reflectance%20of%20Arabidopsis%20thaliana.pdf text cc_by info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/ https://doi.org/10.1038/s41597-023-02189-w 10.1038/s41597-023-02189-w info:eu-repo/semantics/altIdentifier/doi/10.1038/s41597-023-02189-w info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.1038/s41597-023-02189-w info:eu-repo/semantics/dataset/purl/https://doi.org/10.48579/PRO/SW1OQD info:eu-repo/grantAgreement/ERC/H2020/ANR-17-CE02-0018//(FRA) Exploration des réponses évolutives des plantes à des changements environnementaux à la lumière des théories écologiques : un test expérimental chez l'espèce modèle Arabidopsis thaliana/AraBreed info:eu-repo/grantAgreement/ERC/H2020/639706//(EU) Ecophysiological and biophysical constraints on domestication in crop plants/CONSTRAINTS info:eu-repo/grantAgreement/ERC/H2020/949843//(EU) Elucidating the phenotypic determinants of hybrid vigour/PHENOVIGOUR