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1 to 10 of 73 Results
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...
May 13, 2020 - Experimental - Observation - Simulation Dataverse
Rincent, Renaud, 2020, "Robert et al. Combining crop growth modelling with trait-assisted prediction improved the prediction of genotype by environment interactions", https://doi.org/10.15454/TKMGCQ, Portail Data INRAE, V2, UNF:6:TSvPO2jAaj2OqvykPlBLqA== [fileUNF]
Genotyping data, Phenotyping data (Heading date and Grain Yield) used in the study of Robert et al. (220 wheat varieties and 16 environments as well as 139 environmental covariates describing each environment).
May 12, 2020 - Experimental - Observation - Simulation Dataverse
Gay, Laurene, 2020, "Medicago truncatula SNP temporal data from: "Power and limits of selection genome scans on temporal data from a selfing population"", https://doi.org/10.15454/TYQDGP, Portail Data INRAE, V1, UNF:6:nt7te5W6j1eifPoBiuCDgQ== [fileUNF]
SNP data from a population located in Cape Corsica (42°58.406’ North, 9°22,015’ East, 362 m.a.s.l.), collected in 1987 (64 plants) and 2009 (96 plants).Genotyping was performed using two SNP chips specifically developed for M. truncatula (Loridon et al. 2013 Molecular Ecology Res...
Apr 6, 2020 - Experimental - Observation - Simulation Dataverse
Boureau, Tristan, 2020, "PHENOTIC Platform", https://doi.org/10.15454/U2BWFJ, Portail Data INRAE, V1
The PHENOTIC platform gathers services for plant production and high-throughput phenotyping of plant material. The PHENOTIC platform develops approaches for phenotyping plants at two complementary scales: seeds and aerial parts of plants. Therefore, the purpose of the PHENOTIC pl...
Apr 1, 2020
Beral, Aurore, 2020, "Bread wheat phenotyping data UMR 1095 GDEC", https://doi.org/10.15454/5MR0EI, Portail Data INRAE, V1
This dataset supports the study of Beral et al. (in press) including phenotyping data for two experiments conducted at INRA, Clermont-Ferrand in 2015/2016 and 2016/2017 using the Pheno3C high-throughput, field-phenotyping platform. Two genetic panels of winter wheat genotypes wer...
Feb 28, 2020 - URGI Plant and Fungi Dataverse
Papoutsoglou, Evangelia A.; Faria, Daniel; Arend, Daniel; Arnaud, Elizabeth; Athanasiadis, Ioannis N.; Chaves, Inês; Coppens, Frederik; Cornut, Guillaume; Costa, Bruno V.; Ćwiek-Kupczyńska, Hanna; Droesbeke, Bert; Finkers, Richard; Gruden, Kristina; Junker, Astrid; King, Graham J.; Krajewski, Paweł; Lange, Matthias; Laporte, Marie-Angélique; Michotey, Célia; Oppermann, Markus; Ostler, Richard; Poorter, Hendrik; Ramı́rez-Gonzalez, Ricardo; Ramšak, Živa; Reif, Jochen C.; Rocca-Serra, Philippe; Sansone, Susanna-Assunta; Scholz, Uwe; Tardieu, François; Uauy, Cristobal; Usadel, Björn; Visser, Richard G.F.; Weise, Stephan; Kersey, Paul J.; Miguel, Célia M.; Adam-Blondon, Anne-Françoise; Pommier, Cyril, 2020, "Enabling reusability of plant phenomic datasets with MIAPPE 1.1 - Supplementary dataset", https://doi.org/10.15454/1YXVZV, Portail Data INRAE, V1
Exemplar dataset demonstrating the use of MIAPPE as described in "Enabling reusability of plant phenomic datasets with MIAPPE 1.1". Enabling data reuse and knowledge discovery is increasingly critical in modern science, and requires an effort towards standardizing data publicatio...
Feb 28, 2020 - URGI Plant and Fungi Dataverse
Chaves, Inês; Miguel, Célia M.; Faria, Daniel; Costa, Bruno V., 2020, "Enabling reusability of plant phenomic datasets with MIAPPE 1.1 - Supplementary dataset iBET", https://doi.org/10.15454/AH6U4A, Portail Data INRAE, V2
Spreadsheet file for the iBET cork oak dataset, accompanying the Enabling reusability of plant phenomic datasets with MIAPPE 1.1 paper
Feb 28, 2020 - URGI Plant and Fungi Dataverse
Michotey, Célia, 2020, "Integrating genome annotation and QTL position to identify candidate genes for productivity, architecture and water-use efficiency in Populus spp - Supplementary dataset", https://doi.org/10.15454/EASUQV, Portail Data INRAE, V1
Data sets in different formats for the related paper "Integrating genome annotation and QTL position to identify candidate genes for productivity, architecture and water-use efficiency in Populus spp", doi: 10.1186/1471-2229-12-173 Spreadsheet: GNPIS_poplar_spreadsheet.xlsx ISA-T...
Feb 28, 2020 - URGI Plant and Fungi Dataverse
Oury, François-Xavier; Pommier, Cyril; Charmet, Gilles, 2020, "Enabling reusability of plant phenomic datasets with MIAPPE 1.1 - Supplementary dataset INRA Wheat", https://doi.org/10.15454/1AFKZ2, Portail Data INRAE, V1
This is a subset of the dataset "Winter wheat (Triticum aestivum L) phenotypic data from the multiannual, multilocal field trials of the INRA Small Grain Cereals Network." (doi:10.15454/1.4489666216568333E12). It is an ISA-Tab archive for the INRA wheat dataset, accompanying the...
Feb 10, 2020 - URGI Plant and Fungi Dataverse
Guillaumie, Sabine; Decroocq, Stéphane; Ollat, Nathalie; Delrot, Serge; Gomès, Eric; Cookson, Sarah, 2020, "Dissecting the control of shoot development in grapevine: genetics and genomics identify potential regulators", https://doi.org/10.15454/4ZUPCP, Portail Data INRAE, V1
A F2 population consisting of 337 individuals was derived from the inter-specific cross of V. vinifera cv. Cabernet-Sauvignon (CS) x V. riparia cv. Riparia Gloire de Montpellier (RGM). This population, named CS x RGM_F2, resulted from the self-fertilization of the F1_148 individu...
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