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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1 to 7 of 7 Results
Sorghum WCA-BCNAM data
13 déc. 2023
Garin, Vincent; Diallo, Chiaka; Tekete, Mohamed; Thera, Korotimi; Guitton, Baptiste; Dagno, Karim; Diallo, Abdoulaye G.; Kouressy, Mamoutou; Leiser, Willmar; Rattunde, Fred; Sissoko, Ibrahima; Toure, Aboubacar; Nebie, Baloua; Samake, Moussa; Kholova, Jana; Frouin, Julien; Pot, David; Vaksmann, Michel; Weltzien, Eva; Teme, Niaba; Rami, Jean-Francois, 2023, "Sorghum WCA-BCNAM data", https://doi.org/10.18167/DVN1/TZVGLS, CIRAD Dataverse, V2
Data used for the publication: "Characterization of adaptation mechanisms in sorghum using a multi-reference back-cross nested association mapping design and envirotyping" Genetic data: 51'545 SNP markers for 3901 genotypes from three population (Grinkan, Kenin-Keni, Lata3) Pheno...
Measurement of arsenic levels in the leaves and seeds of a panel of 300 japonica varieties and GBS genotyping of 228 of them
6 déc. 2023
Frouin, Julien; Labeyrie, Axel; Boisnard, Arnaud; Sacchi, Gian Attilio; Ahmadi, Nourollah, 2023, "Measurement of arsenic levels in the leaves and seeds of a panel of 300 japonica varieties and GBS genotyping of 228 of them", https://doi.org/10.18167/DVN1/E4X5VD, CIRAD Dataverse, V1
A measurement of arsenic levels in the leaves and seeds of a panel of 300 japonica rice varieties was carried out in 2014 in Camargue, France. With the aim of testing genomic prediction, GBS genotyping (ApekI enzyme) of 228 of them was also done.
Industrial, biochemical and histochemical properties of sorghum stems harvested from 5 trials in France
8 nov. 2023
Pot David; Thomas Hélène Laurence; Jaffuel Sylvie; Christelle Baptiste; Laurent Bonnal; Gilles Trouche; Denis Bastianelli; Eric Latrille; Angélique Berger; Caroline Calatayud; Céline Chauvergne; Virginie Rossard; Patrice Jeanson; Joël Alcouffe; Hélène Carrère, 2023, "Industrial, biochemical and histochemical properties of sorghum stems harvested from 5 trials in France", https://doi.org/10.18167/DVN1/JYQLEK, CIRAD Dataverse, V1
This dataset contains phenotypic information regarding the industrial properties (anaerobic digestion, combustion, animal digestibility), stem biochemical composition and internode anatomy of 57 genotypes that have been cultivated in 5 sites in France between 2012 and 2014. This...
Phenotypic data of the CNA6 population from cycle 3 to cycle 7
8 nov. 2023
Pereira de Castro, Adriano; Breseghello, Flávio; Volpi Furtini, Isabela; Marico Utumi, Marley; Almeida Pereira, José; Cao, Tuong-Vi; Bartholomé, Jérôme, 2023, "Phenotypic data of the CNA6 population from cycle 3 to cycle 7", https://doi.org/10.18167/DVN1/O9TJEO, CIRAD Dataverse, V1, UNF:6:58koioPKJ0jJHqyKSVqCaw== [fileUNF]
The CNA6 population, evaluated over five cycles (3 to 7) of selection, including 20 field trials, was used to assess the realized genetic gain. The experimental data used in this study was generated in multisite trials conducted on S0:2 families from five cycles of recurrent sele...
Genomic selection for salinity tolerance in japonica rice
14 sept. 2023
Bartholomé, Jérôme; Frouin, Julien; Brottier, Laurent; Cao-Hamadou, Tuong-Vi; Boisnard, Arnaud; Ahmadi, nourollah; Courtois, Brigitte, 2023, "Genomic selection for salinity tolerance in japonica rice", https://doi.org/10.18167/DVN1/O1AYGP, CIRAD Dataverse, V2, UNF:6:g/WOxnia0xFOtDfnsL22Ww== [fileUNF]
A reference panel of 239 japonica accessions and 393 lines of breeding population with 16993 SNPs grown in control and mild salinity stress conditions were evaluated at the vegetative stage for eight morphological traits and ion mass fractions (Na and K).
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 Cao; BARTHOLOME, 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"
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...
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