L’équipe travaille principalement sur deux plantes cibles, riz et sorgho, mais aussi sur plusieurs espèces à racines et tubercules et eucalyptus. Ses recherches portent sur les méthodologies de sélection pour l’innovation variétale et la caractérisation de l’agrobiodiversité.
The team works mainly on two target plants, rice and sorghum, but also on several root and tuber species and eucalyptus. His research focuses on selection methodologies for varietal innovation and agrobiodiversity characterization.
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41 to 48 of 48 Results
de Verdal et al. Optimization of multi-generation multi-location genomic prediction models for recurrent genomic selection in an upland rice population
7 sept. 2023
de Verdal, Hugues; Baertschi, Cédric; Frouin, Julien; Quintero, Constanza; Ospina, Yolima; Alvarez, Maria Fernanda; Cao, Tuong-Vi; Bartholomé, Jérôme; Grenier, Cécile, 2023, "de Verdal et al. Optimization of multi-generation multi-location genomic prediction models for recurrent genomic selection in an upland rice population", https://doi.org/10.18167/DVN1/A7DEHI, CIRAD Dataverse, V2
These data correspond to the phenotypic and genomic datafiles used for the paper entitled "Optimization of multi-generation multi-location genomic prediction models for recurrent genomic selection in an upland rice population"
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
Genotyping of 600 rice accessions from 3 genetic group (O. sativa indica, O. sativa japonica and O. glaberrima) collected in Conakry Guinea between 1979 and 2011
29 mars 2023
Ahmadi, Nourollah; Barry, Mamadou Billo; Frouin, Julien; De Navascues, Miguel; Touré, Mamadou Aminata, 2023, "Genotyping of 600 rice accessions from 3 genetic group (O. sativa indica, O. sativa japonica and O. glaberrima) collected in Conakry Guinea between 1979 and 2011", https://doi.org/10.18167/DVN1/NKHS1U, CIRAD Dataverse, V1
Genotyping By Sequencing with ApekI enzyme of 600 accessions from 3 genetic group (O. sativa indica, O. sativa japonica and O. glaberrima). Plant material was collected through two collection campaigns in Conakry Guinea. The first campaign took place in 1979 and 1982 (Bezançon et...
Og_210-6KSNP.hmp.txt
29 mars 2023 - Genotyping of 600 rice accessions from 3 genetic group (O. sativa indica, O. sativa japonica and O. glaberrima) collected in Conakry Guinea between 1979 and 2011
Plain Text - 2,8 MB - MD5: 23c94d2ce02dca045627845a1d866404
Osi_72-15kSNP.hmp.txt
29 mars 2023 - Genotyping of 600 rice accessions from 3 genetic group (O. sativa indica, O. sativa japonica and O. glaberrima) collected in Conakry Guinea between 1979 and 2011
Plain Text - 2,7 MB - MD5: b1d1e5e89d6a2e6a1a8bab2dccbde52c
Osj_250-9kSNP.hmp.txt
29 mars 2023 - Genotyping of 600 rice accessions from 3 genetic group (O. sativa indica, O. sativa japonica and O. glaberrima) collected in Conakry Guinea between 1979 and 2011
Plain Text - 4,9 MB - MD5: a7eedc05cf25ae74629af16692dcfab5
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