Pour répondre aux grands enjeux de l'agriculture méditerranéenne et tropicale, l'unité AGAP Institut se donne comme ambition de mettre en synergie une grande diversité de compétences, d'approches et de ressources pour des plantes cultivées mieux adaptées à des agrosystèmes variés.
Les tutelles de l'UMR AGAP Institut sont le CIRAD, l'INRAE, l'institut Agro et l'Université de Montpellier.
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201 to 210 of 237 Results
Variable_Description.txt
8 nov. 2023 - Industrial, biochemical and histochemical properties of sorghum stems harvested from 5 trials in France
Plain Text - 4,3 KB - MD5: b86b862670ecc8386899fe413ef9d943
Description of the traits analyzed in this study. Footnotes: * additional information on the variables, traits, methods and scales is available on the crop ontology website at https://www.cropontology.org/ontology/CO_324/Sorghum
CNA6_phenotypic_data.tab
8 nov. 2023 - Phenotypic data of the CNA6 population from cycle 3 to cycle 7
Tabular Data - 210,7 KB - 12 Variables, 3331 Observations - UNF:6:58koioPKJ0jJHqyKSVqCaw==
Data
pheno_METADATA_gs_salinity_bartholome.txt
14 sept. 2023 - Genomic selection for salinity tolerance in japonica rice
Plain Text - 952 B - MD5: f639588e40cdbb0850c62b362a49678c
geno_gs_salinity.tab
12 sept. 2023 - Genomic selection for salinity tolerance in japonica rice
Tab-Separated Values - 20,7 MB - MD5: 8b5816948c5e74fb914cd0925226752f
Data
pheno_gs_salinity_bartholome.tab
12 sept. 2023 - Genomic selection for salinity tolerance in japonica rice
Tabular Data - 56,5 KB - 29 Variables, 632 Observations - UNF:6:g/WOxnia0xFOtDfnsL22Ww==
Data
datafile.txt
7 sept. 2023 - de Verdal et al. Optimization of multi-generation multi-location genomic prediction models for recurrent genomic selection in an upland rice population
Plain Text - 242,0 KB - MD5: 09051fb84fc895c9e3a838402c590b9b
Files with all the BLUEs of the data
README.txt
7 sept. 2023 - de Verdal et al. Optimization of multi-generation multi-location genomic prediction models for recurrent genomic selection in an upland rice population
Plain Text - 2,3 KB - MD5: ab346ca1888e0eaa1000c2c0f9e75e46
genofile.txt
24 août 2023 - de Verdal et al. Optimization of multi-generation multi-location genomic prediction models for recurrent genomic selection in an upland rice population
Plain Text - 18,1 MB - MD5: 23cd87c7dd7830edf106c248d66ffa1b
Orthogroups.GeneCount.tab
30 mai 2023 - Dioscorea alata orthologous groups identified by comparative genomics approach
Tabular Data - 5,9 MB - 47 Variables, 58916 Observations - UNF:6:Mm4r24Pt1/V2jUjXVOvOQw==
Gene count y orthogroup
Orthogroups.txt
30 mai 2023 - Dioscorea alata orthologous groups identified by comparative genomics approach
Plain Text - 37,6 MB - MD5: 01c9bdf17489163a949d4793175060d3
Orthogroup data
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