Type: (datasets) Subject: Plant Health and Pathology Type: (datasets) Subject: Farming Systems and Practices Type: (datasets) Subject: Microorganisms
1 to 7 of 7 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... |
Feb 18, 2020 - Omics Dataverse
Vacher, Corinne, 2020, "R scripts used to infer microbial networks from metabarcoding data and validate them using text-mining", https://doi.org/10.15454/5WD6P6, Portail Data INRAE, V1, UNF:6:LNjhKptvEnA9T2eqRWfBNQ== [fileUNF]
R scripts and datafiles used to infer microbial association networks from metabarcoding data of grapevine foliar samples infected or not by powdery mildew (Erysiphe necator). R script used to search for microbial associations in the Scopus database. |
Feb 18, 2020 - Omics Dataverse
Vacher, Corinne, 2020, "DNA metabarcoding of foliar fungal communities in an untreated vineyard", https://doi.org/10.15454/A24N4C, Portail Data INRAE, V1
This sequence dataset (FASTQ format) was obtained by metabarcoding fungal communities of 20-days old leaves in an untreated vineyard located in INRA Vilenave d'Ornon (France). The ribosomal internal transcribed spacer region 1 (ITS1) was amplified with the ITS1F / ITS2 primer pai... |
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... |
May 9, 2019 - Omics Dataverse
Pauvert, Charlie; Vallance, Jessica; Delière, Laurent; Buée, Marc; Vacher, Corinne, 2019, "Bioinformatic scripts to assess the effect of the cropping system on both community and network α- and β-properties of fungal microbiota", https://doi.org/10.15454/NSHUAQ, Portail Data INRAE, V1
These bioinformatics scripts were applied to the sequences available at https://doi.org/10.15454/3DPFNJ. They are based on several softwares, including SparCC (Friedman and Alm 2012) and DADA2 (Callahan et al. 2016). The code corresponds to R and R markdown files. These scripts w... |
May 7, 2019 - Omics Dataverse
Pauvert, Charlie; Vallance, Jessica; Delière, Laurent; Buée, Marc; Vacher, Corinne, 2019, "DNA metabarcoding of foliar fungal communities in conventional and organic vineyards", https://doi.org/10.15454/3DPFNJ, Portail Data INRAE, V1
This sequence dataset (FASTQ format) was obtained by metabarcoding foliar fungal communities in conventional and organic vineyards. The ribosomal internal transcribed spacer region 1 (ITS1) was amplified with the ITS1F / ITS2 primer pair and sequenced on an Illumina MiSeq platfor... |
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. |