Skip to main content
Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Find
Advanced Search

1 to 7 of 7 Results
Jun 16, 2021 - UMR IGEPP
Bianchetti, Gregoire; Clouet, Vanessa; Legeai, Fabrice; Baron, Cécile; Gazengel, Kévin; Carrillo, Aurélien; Maria J. Manzanares-Dauleux, M-J; Buitink, Julia; Nesi, Nathalie, 2021, "RNA sequencing data for responses to drought stress and/or clubroot pathogen infection in developing seeds of Brassica napus", https://doi.org/10.15454/9OXYM5, Portail Data INRAE, V1, UNF:6:qcdgw+H/MakBEnbMc4Pxew== [fileUNF]
Oilseed rape (Brassica napus L.) is the third largest oil crop worldwide. Like other crops, oilseed rape faces unfavorable environmental conditions resulting from multiple and combined actions of abiotic and biotic constraints that occur throughout the growth cycle. In particular...
May 6, 2021 - UMR IGEPP
Bianchetti, Grégoire; Baron, Cécile; Carrillo, Aurélien; Berardocco, Solenne; Marnet, Nathalie; Wagner, Marie-Hélène; Demilly, Didier; Ducournau, Sylvie; Manzanarès-Dauleux, Marie.J.; Le Cahérec, Françoise; Buitink, Julia; Nesi, Nathalie, 2021, "Dataset for the metabolic and physiological characterization of seeds from oilseed rape (Brassica napus L.) plants grown under single or combined effects of drought and clubroot pathogen Plasmodiophora brassicae", https://doi.org/10.15454/SNRK0V, Portail Data INRAE, V1, UNF:6:V/rvlcoPQOsTqOm3r7v0UA== [fileUNF]
Faced with the challenges of adapting agriculture to climate change, seed production should have increased resilience to abiotic stress factors and the expected proliferation of pathogens. This concerns both the nutritional quality and seed vigor, two crucial factors in seedling...
Dec 8, 2020 - ThaliaDB maize Dataverse
Nicolas, Stéphane; Madur, Delphine; Charcosset, Alain; Bauland, Cyril; Combes, Valérie; Berard, Aurélie; Arca, Mariangela; Mary-Huard, Tristan; Le Paslier, Marie-Christine; Gouesnard, Brigitte, 2020, "Fluorescence intensity datasets and R scripts to predict allelic frequencies in DNA bulks using maize 50K Illumina array", https://doi.org/10.15454/GANJ7J, Portail Data INRAE, V1, UNF:6:IvZiMGs4Oo8oWZqgBbcDdA== [fileUNF]
R scripts and fluorescence intensity datasets of 24 controlled pools and 327 inbred lines panels extracted from 50K Illumina Infinium HD array (Ganal et al., 2010). These datasets and R scripts can be used to calibrate a model to predict allelic frequencies in new DNA bulks using...
Sep 9, 2020
Penouilh-Suzette, Charlotte; Blanchet, Nicolas; Bonnafous, Fanny; de Givry, Simon; Dinis, Romain; Brouard, Céline; Duruflé, Harold; Gody, Louise; Grassa, Christopher; Heudelot, Xavier; Laporte, Marion; Mangin, Brigitte; Marage, Gwenola; Mayjonade, Baptiste; Pomiès, Lise; Langlade, Nicolas, 2020, "RNA expression dataset of 384 sunflower hybrids in field condition", https://doi.org/10.15454/HESVA0, Portail Data INRAE, V1, UNF:6:xMjpZQ4qQiTsbFqjJMoTXg== [fileUNF]
This article describes how RNA expression data of 173 genes were produced on 384 sunflower hybrids grown in field conditions. Sunflower hybrids were selected to represent genetic diversity within cultivated sunflower. The RNA was extracted from mature leaves at one time 7 days af...
Feb 10, 2020 - URGI Plant and Fungi Dataverse
Guillaumie, Sabine; Decroocq, Stéphane; Ollat, Nathalie; Delrot, Serge; Gomès, Eric; Cookson, Sarah, 2020, "Dissecting the control of shoot development in grapevine: genetics and genomics identify potential regulators", https://doi.org/10.15454/4ZUPCP, Portail Data INRAE, V1
A F2 population consisting of 337 individuals was derived from the inter-specific cross of V. vinifera cv. Cabernet-Sauvignon (CS) x V. riparia cv. Riparia Gloire de Montpellier (RGM). This population, named CS x RGM_F2, resulted from the self-fertilization of the F1_148 individu...
Feb 7, 2020 - ThaliaDB maize Dataverse
Rio Simon, 2020, "FlintDent GWAS dataset", https://doi.org/10.15454/OQT5CY, Portail Data INRAE, V1
This dataset corresponds to the data associated with the study: "Disentangling group specific QTL allele effects from genetic background epistasis in GWAS: an application to maize flowering" by Rio et al. (2019). The data includes genotypic and phenotypic information for a panel...
Jan 10, 2020 - ThaliaDB maize Dataverse
Nicolas, Stephane; Negro, Sandra; Madur, Delphine; Clipet, Camille; Combes, Valérie; Bauland, Cyril; Tardieu, François; Charcosset, Alain; Moreau, Laurence, 2020, "Amaizing Dent Panel Genotyping Dataset (354 Public Lines)", https://doi.org/10.15454/GAHEU0, Portail Data INRAE, V1, UNF:6:xDkI2MetKCmc6/d1u04ZkA== [fileUNF]
Genotyping matrix of a collection of 354 dent maize inbred lines corresponding to the "Public Amaizing Dent Panel". This panel includes: (i) 254 dent inbred lines from "Drops panel" assembled in the frame of F7P European projects DROPs (FP7-244374, PI: F. Tardieu) and (ii) 100 de...
Add Data

Sign up or log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.

Contact Portail Data INRAE Support

Portail Data INRAE Support

Please fill this out to prove you are not a robot.

+ =