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1 to 10 of 76 Results
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,...
Jul 30, 2019 - Omics Dataverse
Pauvert, Charlie; Vallance, Jessica; Delière, Laurent; Buée, Marc; Vacher, Corinne, 2019, "Amplicon Sequence Variant (ASV) table obtained by metabarcoding foliar fungal communities in conventional and organic vineyards", https://doi.org/10.15454/WOICSE, Portail Data INRAE, V1, UNF:6:PSwFBpb4Vxgr5rwUlkcPUQ== [fileUNF]
This Amplicon Sequence Variant (ASV) table was obtained by metabarcoding foliar fungal communities in conventional and organic vineyards. This table was generated after the application of the bioinformatics scripts (at https://doi.org/10.15454/NSHUAQ) to the sequences available a...
Mar 24, 2020 - Biogeco Dataverse
Dutech, Cyril; Feau, Nicolas; Lesur, Isabelle; Ehrenmann, François; Letellier, Thomas; Li, Bayo; Mouden, Charlotte; Guichoux, Erwan; Desprez-Loustau, Marie-Laure; Gross, Andrin, 2020, "An easy and robust method for isolation and validation of single nucleotide polymorphic markers from the Erysiphe alphitoides, the oak powdery mildew, draft genome", https://doi.org/10.15454/UGMTBK, Portail Data INRAE, V2
This dataset includes the sequence and SNP data, and the scripts for detecting SNP from targeted sequences isolated from the Erysipe alphitoides draft genome. The draft genome sequencing used the SRR10956459 short reads (Bioproject: PRJNA593204). Assembly and Annotation of the dr...
Sep 14, 2020
Fabre, Frederic, 2018, "An epi-evolutionary model to predict spore-producing pathogens adaptation to quantitative resistance in heterogeneous environments by R. Djidjou-Demasse, J.-B. Burie, A. Ducrot, S. Lion, Q. Richard and F. Fabre", https://doi.org/10.15454/WAEIMA, Portail Data INRAE, V3, UNF:6:VMSNwYEeJZ3ImK9r2Mlkig== [fileUNF]
MATLAB codes for reproducing the simulations and main figures described in Djidjou-Demasse et al. 2020 An epi-evolutionary model to predict spore-producing pathogens adaptation to quantitative resistance in heterogeneous environments (https://www.biorxiv.org/content/10.1101/42346...
Aug 18, 2020 - Genes specific to phytoparasitic nematodes INRAE/EMBRAPA
Danchin, Etienne; Grynberg, Priscila; Togawa, Roberto, 2020, "Annotated list of species used in this study", https://doi.org/10.15454/IIAQOW, Portail Data INRAE, V1
Annotated list of the 63 species used in the Orthofinder comparative analysis of nematodes (61 species) and two tardigrade species as out-groups. Description: Lines 1-64, definition of columns - Abbrev Species: abbreviated species name. Species identifiers used in all the Orthofi...
Mar 8, 2019 - Multi Criteria Assessment Methods
Alaphilippe, Aude; Collet, Catherine, 2019, "Annotation data about Multi Criteria Assessment Methods used in Plant Health and Environment: the French National Institute for Agricultural Research (INRA-SPE) experience", https://doi.org/10.15454/3SI1GB, 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 belonging to the Plant Health and Environment department. Its research aims to contribute to the development of a productive but e...
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.
Jan 27, 2021 - Experimental - Observation - Simulation Dataverse
Mistral, Pascale; Vanlerberghe-Masutti, Flavie; Elbelt, Sonia; Boissot, Nathalie, 2021, "Aphis gossypii/Aphis frangulae collected worldwide: Microsatellite markers data and genetic cluster assignment", https://doi.org/10.15454/HNGGMX, Portail Data INRAE, V1, UNF:6:1Pw9QXTzG/jc5P/fgSXuAQ== [fileUNF]
The dataset gathers information on 16016 individuals Aphis gossypii/Aphis frangulae collected in 17 countries from 1989 to 2019 from all continents. Aphids collected were either apterous (10177), winged (5654) or eggs (15). They were collected on 19 plant families or in traps dep...
Dec 7, 2020 - Omics Dataverse
Fort, Tania; Pauvert, Charlie; Zanne, Amy; Ovaskainen, Otso; Caignard, Thomas; Barret, Matthieu; Compant, Stéphane; Hampe, Arndt; Delzon, Sylvain; Vacher, Corinne, 2020, "Bioinformatic and statistical scripts to analyze metabarcoding data of fungal communities", https://doi.org/10.15454/0CNFWS, Portail Data INRAE, V3, UNF:6:+ROFl+GYxv+1vFHcrzj8MA== [fileUNF]
This dataset contains R-scripts to analyse the diversity and composition of seed fungal communities (Fort et al., Maternal effects shape seed fungal communities in Quercus petraea. Submitted). The bioinformatic script was applied to raw sequences after paired-end sequences were j...
Jul 7, 2020
Ma, Yuxin, 2020, "Bioinformatic and statistical scripts to analyze the leaf-associated fungal community of wild plant populations", https://doi.org/10.15454/JQPBOW, Portail Data INRAE, V2, UNF:6:+Ms4XeqLMk3Aqhstq1K0Wg== [fileUNF]
This dataset contains R-scripts to perform bioinformatic and statistical analysis on leaf-associated fungal communities of wild plant populations (Ma et al. Leaf-associated fungal and viral communities of wild plant populations differ between cultivated and natural ecosystems. Su...
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