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11 to 20 of 155 Results
Jun 3, 2021 - Biogeco Dataverse
Ehrenmann, Francois; Chaumeil,Philippe; Plomion, Christophe, 2021, "Plan de Gestion de Données UMR BIOGECO", https://doi.org/10.15454/XS1RPM, Portail Data INRAE, V2
Plan de gestion des données de l'UMR INRAE BIOGECO Vous pouvez citer le DOI de ce plan comme source, mais l'utilisation de toute partie mise à jour de ce plan n'implique pas que le(s) créateur(s) soutienne(nt) ou ait(nt) un quelconque lien avec votre projet ou votre soumission. C...
May 27, 2021
Coupel-Ledru, Aude; Lebon, Eric; Christophe, Angélique; Péchier, Philippe; Hamard, Philippe; Cabrera-Bosquet, Llorenç; Doligez, Agnès; This, Patrice; Morel, Claudine; Moreno, Mathieu; Sittichai, Supawadee; Berger, Gilles; Bertrand, Yves; Farnos, Marc; Rosello, Anthony; François, Pierre; Pons, Thierry; Simonneau, Thierry, 2021, "Water use-related traits in a bi-parental population of grapevine (cv Syrah X cv Grenache)", https://doi.org/10.15454/YTRKV6, Portail Data INRAE, V1, UNF:6:DD6Hv9eNDSsUUt9K4hYJgg== [fileUNF]
This dataset comes from a pseudo-F1 progeny of 186 two year-old genotypes obtained as the first generation from a reciprocal cross between the grapevine (Vitis vinifera L.) cultivars Syrah and Grenache (Adam-Blondon et al., 2004; Fournier-Level et al., 2009). In 2012 and 2013, si...
May 26, 2021 - SunfloDry
Fernandez, Olivier; Gibon, Yves; Flandin, Amélie; Cassan, Cédric, 2021, "Data set for targeted analyses", https://doi.org/10.15454/STJH47, Portail Data INRAE, V2, UNF:6:Etp5orjbsP973LfclzNzkQ== [fileUNF]
Analyses of major compounds of leaf of sunflower plants cultivated outdoors in a phenotyping facility in well-watered or water-deficit conditions. Analyses performed on 24 genotypes (8 lines and their corresponding 16 hybrids) using targeted robotized analyses of leaf extracts.
May 26, 2021 - SunfloDry
Berton, Thierry; Bernillon, Stéphane; Fernandez, Olivier; Flandin, Amélie; Cassan, Cédric, 2021, "Data set for LC-MS", https://doi.org/10.15454/2KOXOH, Portail Data INRAE, V2, UNF:6:sTPggJ4zJxRMvffzf4zUDA== [fileUNF]
Metabolomic analyses of leaf of sunflower plants cultivated outdoors in a phenotyping facility in well-watered or water-deficit conditions. Analyses performed on 24 genotypes (8 lines and their corresponding 16 hybrids) using LC-Orbitrap-MS of leaf extracts.
May 25, 2021
Brault, Charlotte; Flutre, Timothée; Doligez, Agnès, 2021, "Scripts and data of the genetic analysis of Syrah x Grenache progeny", https://doi.org/10.15454/NOUQY2, Portail Data INRAE, V1, UNF:6:cPuUhPCLt7WlQDM7mknnWA== [fileUNF]
R-scripts and data associated with the publication "Harnessing multivariate, penalized regression methods for genomic prediction and QTL detection of drought-related traits in grapevine". Article abstract: Viticulture has to cope with climate change and decrease pesticide inputs,...
May 25, 2021
Brault, Charlotte; Flutre, Timothée; Launay, Amandine; Doligez, Agnès; Chouiki, Hajar; Sarah, Gautier; Mournet, Pierre, 2021, "Genotypic data and genetic map for Syrah x Grenache bi-parental grapevine population", https://doi.org/10.15454/QEDX2V, Portail Data INRAE, V1, UNF:6:L5hd7gugVIod43JkBypJvQ== [fileUNF]
This dataset, intended for QTL detection and genomic prediction, includes : 1) the SNP genotyping data, in vcf format, obtained by GBS in a grapevine bi-parental population, and the script for formatting the data before building the genetic map; 2) the script and custom R functio...
May 18, 2021 - URGI Plant and Fungi Dataverse
Michotey, Celia; Fady, Bruno; Anger, Christel; Bastien, Catherine; Bastien, Jean-Charles; Chancerel, Emilie; Denou, Jean-Luc; Dowkiw, Arnaud; Ducousso, Alexis; Gauvrit, Christophe; Ienhuth, Bernard; Kremer, Antoine; Lefèvre, François; Muratorio, Sylvie; Pâques, Luc; Pastuszka, Patrick; Pichot, Christian; Plomion, Christophe; Puzos, Luc; Raffin, Annie; Rei, Franck; Santi, Frédérique; Severin, Laurent; Thevenet, Jean; Vauthier, Denis; Veisse, Dominique; Verger, Michel; Villar, Marc, 2021, "Datasets from common gardens of the Forest Genetics Network for Research and Experimentation (GEN4X)", https://doi.org/10.15454/50RS8C, Portail Data INRAE, V1
GEN4X (forest genetics network for research and experimentation) is a French network of forest tree common gardens which compare genetic units of varied types (species, sub-species, geographic origins, families, clones) across wide ranging environmental conditions. The initial ob...
May 17, 2021 - URGI Plant and Fungi Dataverse
Michotey, Celia; Vauthier, Denis; Fady, Bruno, 2021, "Phenotypic trait dataset of Pinus pinea measured in the common gardens of the Forest Genetics Network for Research and Experimentation (GEN4X)", https://doi.org/10.15454/MQKQ1O, Portail Data INRAE, V1
This dataset is composed of observations such as height, circumference, cone number, survival and forking, made until 2012 in 7 Pinus pinea provenance trials of the French common gardens network GEN4X (forest genetics network for research and experimentation). It makes possible t...
May 6, 2021 - Experimental - Observation - Simulation Dataverse
Desbiez-Piat, Arnaud; Dillmann, Christine; Tenaillon, Maud, I., 2021, "Interplay between high drift and high selection in small selfing maize populations : simulator and summary data", https://doi.org/10.15454/JQABMJ, Portail Data INRAE, V1, UNF:6:FkZOmro4EhQgfvnOnfSRww== [fileUNF]
A R script that simulates the evolution of a quantitative trait in Saclay's Divergent Selection Experiments (Saclay's DSEs) breeding schemes, along with a dataset containing summary statistics on the observed response to selection for maize flowering time in Saclay's DSE's
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...
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