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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...
Aug 7, 2020 - CORNPESTS
Sanane, Inoussa; Dillmann, Christine; Legrand, Judith; Marion-Poll, Frédéric, 2020, "R scripts and datas for the analysis of Lepidoptera feeding bioassays", https://doi.org/10.15454/CRIUDY, Portail Data INRAE, V2, UNF:6:hTGs+txMHPvB7l9yZIPEzg== [fileUNF]
Rscripts, raw datas, and documentation associated to the statistical analysis of the data produced by the Sanane Lepidoptera feeding bioassay.
Aug 5, 2020 - CORNPESTS
Sanane, Inoussa; Dillmann, Christine; Marion-Poll, Frédéric, 2020, "Instructions for the building of the Sanane lepidoptera larvae feeding bioassay device", https://doi.org/10.15454/UVXKDJ, Portail Data INRAE, V1
This Dataset contains the blueprints and the instructions to build-up a high-throughput device for Lepidoptera larvae feeding bioassays
May 14, 2020 - Experimental - Observation - Simulation Dataverse
Laurent, Benoit, 2020, "Microhaplotype genotyping-by-sequencing of 98 highly polymorphic markers in three chestnut tree species", https://doi.org/10.15454/PNBEAM, Portail Data INRAE, V5, UNF:6:vfR+Xz1fRgxgxhqS02yR2g== [fileUNF]
Chestnut species have large ecological, cultural and economic importance. Developing genetic markers for these species is of interest for conservation, breeding or evolutionary studies. We designed 192 primer pairs targeting microsatellites detected in the Castanea mollissima ref...
Nov 5, 2019
VOISIN, Anne-Sophie; JOURNET, Etienne-Pascal; LEISER, Hugues; CABANAC, Guillaume, 2019, "Ecophysiology and Grain-Legumes WoS DataSet 1980-2018", https://doi.org/10.15454/F0CNNS, Portail Data INRAE, V1, UNF:6:IMRDDP4bNCY3/dwDTQpwNA== [fileUNF]
The text file corresponds to the search query capturing the main ecophysiology 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 scientifi...
Mar 8, 2019 - Multi Criteria Assessment Methods
Gésan-Guiziou, Geneviève; Alaphilippe, Aude; Andro, Mathieu; Aubin, Joël; Bockstaller, Christian; Botreau, Raphaëlle; Buche, Patrice; Collet, Catherine; Darmon, Nicole; Delabuis, Monique; Girard, Agnès; Grateau, Régis; Kansou, Kamal; Martinet, Vincent; Membré, Jeanne-Marie; Sabbadin, Régis; Soler, Louis-Georges; Thiollet-Scholtus, Marie; Tonda, Alberto; Van-Der-Werf, Hayo, 2019, "Annotation data about Multi Criteria Assessment Methods used in the agri-food research : the French National Institute for Agricultural Research (INRA) experience", https://doi.org/10.15454/WB51LL, Portail Data INRAE, V2, UNF:6:gfLdB4WVXzg8A986MUUPFA== [fileUNF]
This data article contains annotation data characterizing Multi Criteria Assessment Methods proposed in the scientific literature by INRA researchers.
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