Combining climatic and genomic data improves range-wide tree height growth prediction in a forest tree

DOI

We collected phenotypic (i.e. height measurements) and genomic (5,165 high-quality polymorphic SNPs) data from the clonal common garden network CLONAPIN consisting of 5 test sites and 34 populations of maritime pine (523 genotypes).

Please refer to the README file associated with this DRYAD repository for a description of the variables and values in each dataset and the scripts used to analyze the present data.

Identifier
DOI https://doi.org/10.15454/1EQALW
Related Identifier https://doi.org/10.5061/dryad.7pvmcvdvw
Metadata Access https://entrepot.recherche.data.gouv.fr/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.15454/1EQALW
Provenance
Creator Archambeau, Juliette ORCID logo; Benito Garzón, Marta; Barraquand, Frédéric ORCID logo; de Miguel, Marina; Plomion, Christophe ORCID logo; C. González-Martínez, Santiago ORCID logo
Publisher Recherche Data Gouv
Contributor Archambeau, Juliette
Publication Year 2022
Rights etalab 2.0; info:eu-repo/semantics/openAccess; https://spdx.org/licenses/etalab-2.0.html
OpenAccess true
Contact Archambeau, Juliette (University of Bordeaux, INRAE)
Representation
Resource Type Dataset
Version 1.0
Discipline Agriculture, Forestry, Horticulture; Agricultural Sciences; Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Life Sciences