Carbon and Nitrogen leaf traits on 'Golden Delicious' apple trees

DOI

This dataset was built on ‘Golden Delicious’ apple trees with either high or low crop loads. For these trees, we concomitantly assessed the impacts of intercepted light and crop load on within-tree spatial variability in carbon- and nitrogen-related traits. Furthermore, we analyzed fruiting and nonfruiting shoots to clarify the scale (shoot or tree) at which the source:sink relationships regulate leaf trait acclimation to a light gradient. This dataset was published first in the Journal of Experimental Botany (volume and issue to be updated).

See the ReadMe.txt file accompanying this dataset for details on variable units and brief description of the methods.

Identifier
DOI https://doi.org/10.15454/HGONZV
Metadata Access https://entrepot.recherche.data.gouv.fr/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.15454/HGONZV
Provenance
Creator Ngao, Jerome (ORCID: 0000-0003-4587-816X); Martinez, Sebastien; Marquier, Andre; Bluy, Sylvie; Saint-Joanis, Brigitte; Costes, Evelyne ORCID logo; Pallas, Benoit
Publisher Recherche Data Gouv
Contributor Ngao, Jerome; Pallas, Benoit
Publication Year 2020
Funding Reference ANR ANR-14-CE35-0001-01
Rights info:eu-repo/semantics/openAccess
OpenAccess true
Contact Ngao, Jerome (INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement); Pallas, Benoit (INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)
Representation
Resource Type Dataset
Format text/tab-separated-values; text/plain
Size 20763; 6446
Version 2.0
Discipline Agriculture, Forestry, Horticulture; Geosciences; Agricultural Sciences; Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Biospheric Sciences; Earth and Environmental Science; Ecology; Environmental Research; Life Sciences; Natural Sciences; Plant Science
Spatial Coverage See description