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1 to 10 of 17 Results
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...
Biogeco Dataverse(INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement - www.inrae.fr)
Biogeco Dataverse logo
May 18, 2018Experimental - Observation - Simulation Dataverse
BIOGECO (BIOdiversité, GEnes & COmmunautés) est une Unité Mixte de Recherche (UMR) de l’INRAE et de l’université de Bordeaux. L’unité comprend des spécialistes de l’écologie, de la génétique des populations, quantitative et évolutive. Les activités de recherche menées par BIOGECO...
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...
Fruit tree phenology(INRAE - Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement)
Jun 17, 2020Unité Expérimentale Horticole
This Dataverse is composed both of phenological data of 5 species of fruit trees (apple, pear, cherry, peach and apricot) present on the Horticulture Experimental Facility, as well as meteorological data.
Nov 5, 2019
DUC, Gérard; WERY, Jacques; MILLOT, Dominique; CABANAC, Guillaume, 2019, "Genetics and Grain-Legumes WoS DataSet 1980-2018", https://doi.org/10.15454/PFV9JK, Portail Data INRAE, V1, UNF:6:AlStvGnGYkAAhWmNAbrTFQ== [fileUNF]
The text file corresponds to the search query capturing the main genetics research theme on grain-legumes (both soya and pulses, see Species Grain-Legumes WoS dataset) to be applied on the WoS (Web of Knowledge). This search query is restricted to the main types of scientific lit...
GnpIS Dataverse(www.inra.fr)
Jan 18, 2018URGI Plant and Fungi Dataverse
Genetic and genomic information system
Nov 5, 2019
DUC, Gérard; WERY, Jacques; MAGRINI, Marie-Benoit; CABANAC, Guillaume, 2019, "Grain-Legumes Species WoS DataSet 1980-2018", https://doi.org/10.15454/QBQFCX, Portail Data INRAE, V1, UNF:6:x+PFrYvtAphGjFiCuZvm7w== [fileUNF]
The text file corresponds to the search query capturing the main grain-legumes species cultivated in temperate climate (both soya and pulses) to be applied on the WoS (Web of Knowledge). This search query is restricted to the main types of scientific literature documents, namely...
Oct 31, 2019 - URGI Plant and Fungi Dataverse
Ducournau, Sylvie; Charrier, Aurélie; Wagner, Marie-Hélène; Demilly, Didier; Trigui, Ghassen; Boudehrie-Giresse, Karina; Le Corre, Laurence; Dupont, Audrey; Hamdy, Sherif; Delanoue, Angélique; Ledroit, Lydie; Landais, Laurence; Dürr, Carolyne; Charruaud, Dorothée, 2019, "High throughput phenotyping of seeds from Beta vulgaris genotypes", https://doi.org/10.15454/AKNF4Q, Portail Data INRAE, V1
Dataset obtain by high throughput phenotyping of seed morphology, germination and seedling heterotrophic growth traits on a sugar beet population of genotypes.
Sep 15, 2020
Denancé, Caroline; Muranty, Hélène; Durel, Charles-Eric, 2020, "MUNQ - Malus UNiQue genotype code for grouping apple accessions corresponding to a unique genotypic profile", https://doi.org/10.15454/HKGMAS, Portail Data INRAE, V1
This dataset corresponds to the assignment of MUNQ (Malus UNiQue genotype) codes to a large set of apple accessions genotyped with common SSR (microsatellite) markers. The MUNQ assignment was performed as described in Muranty-Denancé et al. (2020; https://doi.org/10.1186/s12870-0...
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