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.
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 |
work_keys_str_mv |
AT przybylskastefania aradivadatasetoffunctionaltraitsandleafhyperspectralreflectanceofarabidopsisthaliana AT viollecyrille aradivadatasetoffunctionaltraitsandleafhyperspectralreflectanceofarabidopsisthaliana AT viledenis aradivadatasetoffunctionaltraitsandleafhyperspectralreflectanceofarabidopsisthaliana AT scheepensjf aradivadatasetoffunctionaltraitsandleafhyperspectralreflectanceofarabidopsisthaliana AT lacombebenoit aradivadatasetoffunctionaltraitsandleafhyperspectralreflectanceofarabidopsisthaliana AT lerouxxavier aradivadatasetoffunctionaltraitsandleafhyperspectralreflectanceofarabidopsisthaliana AT perrierlisa aradivadatasetoffunctionaltraitsandleafhyperspectralreflectanceofarabidopsisthaliana AT salesmabilylou aradivadatasetoffunctionaltraitsandleafhyperspectralreflectanceofarabidopsisthaliana AT laumondmariette aradivadatasetoffunctionaltraitsandleafhyperspectralreflectanceofarabidopsisthaliana AT vinyetamariona aradivadatasetoffunctionaltraitsandleafhyperspectralreflectanceofarabidopsisthaliana AT moulinpierre aradivadatasetoffunctionaltraitsandleafhyperspectralreflectanceofarabidopsisthaliana AT beuriergregory aradivadatasetoffunctionaltraitsandleafhyperspectralreflectanceofarabidopsisthaliana AT rouanlauriane aradivadatasetoffunctionaltraitsandleafhyperspectralreflectanceofarabidopsisthaliana AT cornetdenis aradivadatasetoffunctionaltraitsandleafhyperspectralreflectanceofarabidopsisthaliana AT vasseurfrancois aradivadatasetoffunctionaltraitsandleafhyperspectralreflectanceofarabidopsisthaliana |
_version_ |
1792500544129990656 |
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 |