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1 to 10 of 30 Results
Jun 11, 2020 - PMB Metabolomics
Deborde, Catherine; Roch, Léa; Moing, Annick; Jacob, Daniel, 2019, "1D 1H-NMR profiling of 8 fleshy fruits (mixed-stage samples)", https://doi.org/10.15454/BQHGR9, Portail Data INRAE, V3, UNF:6:CVoLl0fa9rXcSn5u2yGRmQ== [fileUNF]
1D 1H-NMR metabolomic profiling of 8 fleshy fruit species, including three herbaceous species, eggplant, pepper and cucumber, three tree species, apple, peach and clementine, and two vines, kiwifruit and grape. “stage-mixture sample”, dedicated to the identification of major solu...
May 21, 2019 - URGI Plant and Fungi Dataverse
Le Paslier, Marie-Christine; Choisne, Nathalie; Bacilieri, Roberto; Boursiquot, Jean-Michel; Bras, Marc; Brunel, Dominique; Chauveau, Aurélie; Hausmann, Ludger; Lacombe, Thierry; Laucou, Valérie; Launay, Amandine; Marchal, Cécile; Martinez-Zapater, José-Miguel; Berard, Aurélie; Quesneville, Hadi; Töpfer, Reinhard; Torres-Perez, Rafael; Adam-Blondon, Anne-Françoise, 2019, "A dataset of 9.896 single nuclear polymorphisms for 112 wild grapes, obtained with the GrapeReSeq 18K Vitis chip", https://doi.org/10.15454/9RUCEP, Portail Data INRAE, V3
The dataset, comprising 9.896 SNPs for 112 wild grapes (Vitis vinifera subsp. sylvestris), is made available here in support of the paper : Ramos-Madrigal J, Wiborg Runge AK, Bouby L, Lacombe T, Samaniego-Castruita JA, Adam-Blondon AF, Figueiral I, Hallavant C, Martínez-Zapater J...
Nov 5, 2019 - URGI Plant and Fungi Dataverse
Millet, Emilie J.; Pommier, Cyril; Buy, Mélanie; Nagel, Axel; Kruijer, Willem; Welz-Bolduan, Therese; Lopez, Jeremy; Richard, Cécile; Racz, Ferenc; Tanzi, Franco; Spitkot, Tamas; Canè, Maria-Angela; Negro, Sandra S.; Coupel-Ledru, Aude; Nicolas, Stéphane D.; Palaffre, Carine; Bauland, Cyril; Praud, Sébastien; Ranc, Nicolas; Presterl, Thomas; Bedo, Zoltan; Tuberosa, Roberto; Usadel, Björn; Charcosset, Alain; van Eeuwijk, Fred A.; Draye, Xavier; Tardieu, François; Welcker, Claude, 2019, "A multi-site experiment in a network of European fields for assessing the maize yield response to environmental scenarios", https://doi.org/10.15454/IASSTN, Portail Data INRAE, V2, UNF:6:zF9w0A2f+MHeW7maeeXJWA== [fileUNF]
This dataset comes from the European Union project DROPS (DROught-tolerant yielding PlantS). A panel of 256 maize hybrids was grown with two water regimes (irrigated or rainfed), in seven fields in 2012 and 2013, respectively, spread along a climatic transect from western to east...
Mar 8, 2019 - Multi Criteria Assessment Methods
Christian, Bockstaller; Alaphilippe, Aude; Gésan-Guiziou, Geneviève, 2019, "Annotation data about Multi Criteria Assessment Methods used in Science for Plant Biology and Breeding: the French National Institute for Agricultural Research (INRA-BAP) experience", https://doi.org/10.15454/T5J8EP, 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 Biology and Breeding department.
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.
Aug 5, 2019 - Vocabulaires Ouverts
Verdelet, Daphné; Charruaud, Dorothée, 2019, "Beet Ontology", https://doi.org/10.15454/0JIL23, Portail Data INRAE, V2
This ontology was built as part of the AKER project. It describes variables used in beet phenotyping (experimental properties and measurement scale) for each institution (INRAE, Geves, ITB, Unversité d'Angers) and breeding companies (Florimond Desprez).
Sep 17, 2019 - ThaliaDB maize Dataverse
Nicolas, Stephane; Joet, Johann; Duarte Jorge; Pichon, Jean-Philippe; Pirani, Ali; Vitte, Clémentine; Riviere, Nathalie; Mabire, 2019, "CNVMaize Indels Affymetrix Axiom Array", https://doi.org/10.15454/DWB4UT, Portail Data INRAE, V1
These three datasets describe the content of Indel Affymetrix Axiom array corresponding to the publication "High throughput genotyping of structural variations in a complex plant genome using an original Affymetrix® Axiom® array " of Mabire, Duarte et al., 2019. The Affymetrix Ax...
Feb 6, 2019
Tello Moro, Javier, 2019, "Data for: A novel high-density grapevine (Vitis vinifera L.) integrated linkage map using GBS in a half-diallel population", https://doi.org/10.15454/99SLGP, Portail Data INRAE, V1
This data contains some of the additional files and scripts linked to the manuscript: A novel high-density grapevine (Vitis vinifera L.) integrated linkage map using GBS in a half-diallel population Please, read the whole manuscript for further information. contact: agnes.doligez...
Sep 19, 2019 - Experimental - Observation - Simulation Dataverse
Quilot-Turion, Benedicte, 2019, "Dataset linked to the publication C. Barrasso et al, 2019, "Model-based QTL detection is sensitive to slight modifications in model formulation" in Plos ONE.", https://doi.org/10.15454/MWPXDP, Portail Data INRAE, V4, UNF:6:ZT1Okb//xqLLmaXpr4cmgw== [fileUNF]
This dataset contains raw data used in the publication "Model-based QTL detection is sensitive to slight modifications in model formulation" submitted to Plos ONE journal by Caterina Barrasso, Mohamed-Mahmoud Memah, Michel Génard, Bénédicte Quilot-Turion in March 1st 2019. The "F...
Jun 17, 2019 - ThaliaDB maize Dataverse
Nicolas, Stéphane; Madur, Delphine; Negro, Sandra; Combes, Valérie; Bauland, Cyril; Tardieu, François; Millet, Emilie; Welcker, Claude; Charcosset, Alain, 2019, "DROPS maize genotyping elaborate dataset", https://doi.org/10.15454/AEC4BN, Portail Data INRAE, V1
These three dataset correspond to three elaborate genotyping matrix after filtering and imputation published by Negro et al., (2019) in BMC Plant Biology: "Genotyping-by-sequencing and SNP arrays are complementary for detecting quantitative trait loci by tagging different haploty...
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