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1 to 10 of 21 Results
Jun 25, 2018
Loudet, Olivier, 2018, "Raw phenotypic data obtained on the Arabidopsis RILs with the Phenoscope robots (Marchadier, Hanemian, Tisné et al., 2019)", https://doi.org/10.15454/OCOP9B, Portail Data INRAE, V1
This dataset gathers the main raw phenotypic data obtained and exploited in Marchadier, Hanemian, Tisné et al. (2019). It contains data from 4 RIL sets across 9 Phenoscope experiments. For each Phenoscope experiment, Recombinant Inbred Line (RIL) and Condition ('WW' = Well Watere...
Jun 25, 2018
Loudet, Olivier, 2018, "Genotypic description of the near isogenic lines (HIFs) used for QTL validation and significance of the observed segregating phenotypes (Marchadier, Hanemian, Tisné et al., 2019)", https://doi.org/10.15454/EORHL8, Portail Data INRAE, V1
Each row represents a single HIF and the genotype of the F7 RIL it originates from is indicated along the chromosomes with RIL ID, markers and genotypic conventions from Publiclines http://publiclines.versailles.inra.fr/rils/index (i.e. 'A' = Col allele; 'B' = alternate parental...
Mar 28, 2019 - UEFP Dataverse
Cheval, Nicolas; Bernier, Frédéric, 2019, "Echelle de notation du débourrement d'espèces forestières", https://doi.org/10.15454/HLQKDJ, Portail Data INRAE, V1, UNF:6:ZJUdWtTdeq718+xcp/XqmQ== [fileUNF]
Cet outil excel associe une échelle de notation phénologique du débourrement des résineux (11 pins + 7 autres résineux) et 14 feuillus. Il s'inspire de l'échelle de notation BBCH et contient une description de chaque stade associé à une photo.
May 7, 2019 - Experimental - Observation - Simulation Dataverse
Poulain, Damien; Botran, Lucy; North, Helen; Ralet, Marie-Christine, 2019, "Composition and physicochemical properties of outer mucilage from seeds of Arabidopsis natural accessions", https://doi.org/10.15454/Z4JM4F, Portail Data INRAE, V1, UNF:6:gl+mMVMdCio63QKvR9MNRA== [fileUNF]
This dataset describes six traits for polysaccharides extracted from the outer layer of mucilage of 306 natural accessions and 6 control genotypes from Arabidopsis. The natural accessions were obtained from the Versailles Arabidopsis Stock Center (http://publiclines.inra.fr/natur...
Jan 30, 2020 - TEMPO
Desfonds, Veronique; Garcia De Cortazar Atauri, Inaki, 2020, "Phenology Data - UMR EMMAH - INRAE - BDD PHETEC", https://doi.org/10.15454/CLYPS4, Portail Data INRAE, V2, UNF:6:MO6pkvotflM9jMn9ClCQXQ== [fileUNF]
Données d'observation de la phénologie de plusieurs cultures (blé, tournesol, maïs, pois et sorgo) de l'UMR EMMAH (Avignon, France). Les données sont issues des parcelles qui n'ont pas été utilisés pour des expérimentations. Les données de phénologie ont plusieurs métadonnées ass...
Apr 1, 2020 - Experimental - Observation - Simulation Dataverse
Laurent, Benoit, 2020, "A richer community of Botryosphaeriaceae within a less diverse community of fungal endophytes in grapevines than in adjacent forest trees revealed by a mixed metabarcoding strategy.", https://doi.org/10.15454/JEOT4O, Portail Data INRAE, V1, UNF:6:iSW/6jVVjeRvjMhu7p/7iw== [fileUNF]
Botryosphaeriaceae are a diverse group of endophytic fungi colonizing the inner tissue of many woody species. As opportunist pathogens, they have been increasingly involved in diebacks worldwide. Nonetheless, the diversity of Botryosphaeriaceae, especially in asymptomatic plants,...
Apr 6, 2020 - UR SOLS
Pasquier, Catherine; Ayzac, Adeline; Carozzi, Marco; Giot, Guillaume; Goubard-Delaunay Yolaine; Moinard, Victor; Savoie, Antoine, 2019, "Metametha dataset", https://doi.org/10.15454/5MOZKJ, Portail Data INRAE, V2, UNF:6:E4YS2BXkFYIqsJNFBh4KOg== [fileUNF]
Comparison of N fluxes (N20, NH3, NO3 …) between 5 fertilization managements : livestock effluents, digestates and mineral nitrogen. This dataset was collected in part of Metametha project, funded by ADEME. During three years (2017,2019 and 2019) measurements were made in soil, w...
Apr 28, 2020 - Experimental - Observation - Simulation Dataverse
Lebert, Isabelle; Agoulon, Albert; Bastian, Suzanne; Butet, Alain; Cargnelutti, Bruno; Cèbe, Nicolas; Chastagner, Amélie; Léger, Elsa; Lourtet, Bruno; Masseglia, Sébastien; McCoy, Karen; Merlet, Joël; Noël, Valérie; Perez, Grégoire; Picot, Denis; Pion, Angélique; Poux, Valérie; Rames, Jean-Luc; Rantier, Yann; Verheyden, Hélène; Vourc'h, Gwenaël; Plantard, Olivier, 2020, "Distribution of ticks, tick-borne pathogens and the associated local environmental factors, including small mammals and livestock, in two French agricultural sites: the OSCAR database", https://doi.org/10.15454/93LPP7, Portail Data INRAE, V1, UNF:6:InoQeOYCtAv/EB84rBlFIw== [fileUNF]
The data investigated the distribution of ticks and their potential pathogens in two agricultural zones in north-western and south-western France, as well as the distributions of the principal domestic and wild hosts (small mammals), along a gradient of wooded habitats from fores...
May 20, 2020 - Experimental - Observation - Simulation Dataverse
Mészáros, Éva; Pistocchi, Chiara; Frossard, Emmanuel; Buenemann, Else K; Tamburini, Federica, 2020, "Changes of fungal and bacterial community composition of forest organic horizons with low and high phosphorus availability", https://doi.org/10.15454/XOFCHY, Portail Data INRAE, V1
This dataset describes the microbial community compostion of two organic horizons from temperate beech forest (Germany). A three-months laboratory incubation experiment with litter addition was set up to assess how P derived from beech litter changed the structure of total microb...
Jun 10, 2020 - UMR ECOBIOP 1224 INRAE/UPPA Dataverse
Labonne, Jacques; Tentelier, Cédric; Gauthey, Zoé; Panserat, Stéphane; Heman, Alexandre, 2020, "Life history traits, metabolic status and reproductive success data for brown trout in an experimental channel", https://doi.org/10.15454/LEZZCY, Portail Data INRAE, V1, UNF:6:ymibd91HXxMc9oNs7su/bQ== [fileUNF]
Dataset on brown trout (Salmo trutta) life history, metabolic status and reproductive success used in a control experiment of reproduction, to study the impact of water flow stochasticity on reproductive investment and reproductive success. Experiment A and B1 are under constant...
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