Contributors
Vincent Bonhomme:
ORCID: https://orcid.org/0000-0002-2742-6349
Role: ConceptualizationRole: Data curationRole: Formal analysisRole: MethodologyRole:
SoftwareRole: VisualizationRole: Writing – original draftRole: Writing – review &
editing
Sandrine Picq: Role: ConceptualizationRole: InvestigationRole: MethodologyRole: Writing – review
& editing
Sarah Ivorra: Role: Data curationRole: MethodologyRole: Writing – review & editing
Allowen Evin: Role: Formal analysisRole: MethodologyRole: Writing – review & editing
Thierry Pastor: Role: Data curation
Roberto Bacilieri: Role: SupervisionRole: Writing – review & editing
Thierry Lacombe: Role: ValidationRole: Writing – review & editing
Isabel Figueiral: Role: InvestigationRole: Resources
Jean-Frédéric Terral: Role: ConceptualizationRole: InvestigationRole: MethodologyRole: SupervisionRole:
ValidationRole: Writing – review & editing
Laurent Bouby:
ORCID: https://orcid.org/0000-0002-3633-9829
Role: ConceptualizationRole: Data curationRole: Funding acquisitionRole: MethodologyRole:
Project administrationRole: SupervisionRole: Writing – review & editing
Mohar Singh: Role: Editor
Journal
Journal ID (nlm-ta): PLoS One
Journal ID (iso-abbrev): PLoS One
Journal ID (publisher-id): plos
Journal ID (pmc): plosone
Title:
PLoS ONE
Publisher:
Public Library of Science
(San Francisco, CA USA
)
ISSN
(Electronic):
1932-6203
Publication date
(Electronic):
6
November
2020
Publication date Collection: 2020
Volume: 15
Issue: 11
Electronic Location Identifier: e0239863
Affiliations
[1
]
ISEM, Univ Montpellier, CNRS, EPHE, IRD, Montpellier, France
[2
]
Équipe « Dynamique de la biodiversité, anthropo-écologie », CC065 Montpellier Cedex
5, France
[3
]
Laurentian Forestry Centre, Natural Resources Canada, Québec, Canada
[4
]
UMR AGAP, Univ Montpellier, CIRAD, INRA, Montpellier SupAgro, Equipe « Diversité,
Adaptation et Amélioration de la Vigne », Montpellier, France
National Bureau of Plant Genetic Resources, INDIA
Author notes
Competing Interests: The authors have declared that no competing interests exist.
‡ These authors also contributed equally to this work.
Author information
Article
Publisher ID:
PONE-D-20-10713
DOI: 10.1371/journal.pone.0239863
PMC ID: 7647109
PubMed ID: 33156832
SO-VID: 1efb5a54-8928-4449-b841-a0dbcb2a6d64
Copyright © © 2020 Bonhomme et al
License:
This is an open access article distributed under the terms of the
Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided
the original author and source are credited.
History
Date
received
: 22
April
2020
Date
accepted
: 15
September
2020
Page count
Figures: 10,
Tables: 2,
Pages: 22
Funding
Funded by: ANR
Award ID: ANR-16-CE27-0013
Award Recipient
:
ORCID: https://orcid.org/0000-0002-3633-9829
Laurent Bouby
ANR project “Vignes et vins en France du Néolithique au Moyen Âge. Approche intégrée
en archéosciences” (PI: Laurent Bouby)
https://anr.fr/Projet-ANR-16-CE27-0013.
Categories
Subject:
Research Article
Subject:
Biology and Life Sciences
Subject:
Organisms
Subject:
Eukaryota
Subject:
Animals
Subject:
Domestic Animals
Subject:
Biology and Life Sciences
Subject:
Zoology
Subject:
Animals
Subject:
Domestic Animals
Subject:
Biology and Life Sciences
Subject:
Organisms
Subject:
Eukaryota
Subject:
Plants
Subject:
Flowering Plants
Subject:
Grapevine
Subject:
Biology and Life Sciences
Subject:
Organisms
Subject:
Eukaryota
Subject:
Plants
Subject:
Fruits
Subject:
Berries
Subject:
Biology and Life Sciences
Subject:
Nutrition
Subject:
Diet
Subject:
Beverages
Subject:
Alcoholic Beverages
Subject:
Wine
Subject:
Medicine and Health Sciences
Subject:
Nutrition
Subject:
Diet
Subject:
Beverages
Subject:
Alcoholic Beverages
Subject:
Wine
Subject:
Social Sciences
Subject:
Archaeology
Subject:
Biology and Life Sciences
Subject:
Organisms
Subject:
Eukaryota
Subject:
Plants
Subject:
Fruits
Subject:
Grapes
Subject:
Physical Sciences
Subject:
Mathematics
Subject:
Probability Theory
Subject:
Random Variables
Subject:
Covariance
Subject:
Research and Analysis Methods
Subject:
Mathematical and Statistical Techniques
Subject:
Statistical Methods
Subject:
Multivariate Analysis
Subject:
Principal Component Analysis
Subject:
Physical Sciences
Subject:
Mathematics
Subject:
Statistics
Subject:
Statistical Methods
Subject:
Multivariate Analysis
Subject:
Principal Component Analysis
Custom metadata