Type: (dataverses OR datasets) Type: (dataverses OR datasets) Subject: Plant Breeding and Plant Products Type: (dataverses OR datasets) Subject: Biodiversity and Ecology Type: (dataverses OR datasets) Subject: Plant Health and Pathology
1 to 10 of 15 Results
Jan 13, 2021 - Dispositifs
Novak, Sandra, 2021, "OasYs_AF", https://doi.org/10.15454/SRBXQ9, Portail Data INRAE, V1
Ici sont rassemblées les descriptions des dispositifs agroforestiers de l’expérimentation système OasYs, mise en œuvre à l’Unité Expérimentale Fourrages, Ruminants et Environnement d’INRAE à Lusignan (UE FERLUS). Here are gathered the descriptions of agroforestry experimental plo... |
Jan 13, 2021Fourrages ligneux
Ce dataverse a pour vocation de rassembler les descriptions des dispositifs expérimentaux dédiés à l’étude des fourrages ligneux (arbres, arbustes ou lianes fourragères). This dataverse aims to gather descriptions of experimental sites dedicated to the study of fodder trees, shru... |
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. |
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 |
Aug 5, 2020Experimental - Observation - Simulation Dataverse
The CORNPESTS dataverse encloses data generated by researchers from Institut Diversité, Ecologie, Evolution du Vivant (IDEEV) concerning the interactions between maize and two stem borers, the Mediterranean corn borer Sesamia nonagrioides and the European corn borer Ostrinia nubi... |
Jun 23, 2020Experimental - Observation - Simulation Dataverse
Ce dataverse a pour vocation de rassembler les résultats des travaux réalisés sur les fourrages ligneux (arbres, arbustes ou lianes fourragères), qu’ils concernent leur valeur nutritive, la quantité de biomasse produite ou ingérée ou bien le comportement des animaux. This dataver... |
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. |
