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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41 to 50 of 65 Results
TropGene Rubbertree
6 août 2024 - TropGene
Hamelin, Chantal, 2024, "TropGene Rubbertree", https://doi.org/10.18167/DVN1/RWPOEX, CIRAD Dataverse, V1
The data come from the TropGeneDB CIRAD information system (https://tropgenedb.cirad.fr/tropgene/JSP/index.jsp). TropGeneDB contains data from studies on tropical and mediterranean plants for various kinds of topics such as marker, QTL, genotype, genetic, phenotype, cartography (...
TropGene Oil palm
6 août 2024 - TropGene
Hamelin, Chantal, 2024, "TropGene Oil palm", https://doi.org/10.18167/DVN1/JEBXG1, CIRAD Dataverse, V1
The data come from the TropGeneDB CIRAD information system (https://tropgenedb.cirad.fr/tropgene/JSP/index.jsp). TropGeneDB contains data from studies on tropical and mediterranean plants for various kinds of topics such as marker, QTL, genotype, genetic, phenotype, cartography (...
TropGene Sugarcane
6 août 2024 - TropGene
Hamelin, Chantal, 2024, "TropGene Sugarcane", https://doi.org/10.18167/DVN1/TJZD3J, CIRAD Dataverse, V1
The data come from the TropGeneDB CIRAD information system (https://tropgenedb.cirad.fr/tropgene/JSP/index.jsp). TropGeneDB contains data from studies on tropical and mediterranean plants for various kinds of topics such as marker, QTL, genotype, genetic, phenotype, cartography (...
TropGene(CIRAD-AGAP)
TropGene logo
6 août 2024
The TropGeneDB CIRAD information system contains various kinds of data on tropical and mediterranean plants : marker, QTL, genotype, genetic, phenotype, cartography (genetic, physical and linkage disequilibrium maps), linkage disequilibrium, association and germplasm. The plants...
Genomic prediction in upland rice for aluminum tolerance in Latin America
4 juil. 2024 - Genetique_Innovation_Varietale
Grenier, Cecile; Bartholomé, Jérôme; Frouin, Julien, 2024, "Genomic prediction in upland rice for aluminum tolerance in Latin America", https://doi.org/10.18167/DVN1/HSIM8E, CIRAD Dataverse, V1, UNF:6:PIj0NVaZat5YRPPipI0HJg== [fileUNF]
This data set contains a phenotypic information collected on a population of 334 S0:4 families extracted from synthetic population managed through recurrent selection and phenotyped in Colombia in 2020. The traits were recorded in two soil conditions (ALU: the naturally aluminum...
Initiation to R for survey data analysis : an example with the analysis of crop diversity in Subsaharan Africa
Initiation to R for survey data analysis : an example with the analysis of crop diversity in Subsaharan Africa
1 févr. 2024
Guillerminet, Théo; Kaczmarek, Thomas; Billot, Claire; Barnaud, Adeline, 2024, "Initiation to R for survey data analysis : an example with the analysis of crop diversity in Subsaharan Africa", https://doi.org/10.18167/DVN1/TSJUUH, CIRAD Dataverse, V1
This initiation to survey data analysis with R was designed to be offered at a multi-stakeholders workshop within the EWA-BELT H2020 EU project (grant n°862848 ; ewabelt.eu). This training had two main objectives : The first objective was to do an initiation to data handling, cle...
Paramètres des fibres de bois de Pterocapus erinaceus du Togo, Niger, Burkina Faso mesurés en 2020
18 déc. 2023
Kossi Novinyo, Segla, 2023, "Paramètres des fibres de bois de Pterocapus erinaceus du Togo, Niger, Burkina Faso mesurés en 2020", https://doi.org/10.18167/DVN1/KKGFIY, CIRAD Dataverse, V1, UNF:6:kZeq7arpe14f9nz1IhsnHw== [fileUNF]
Les données sont issues de mesures des paramètres des fibres de bois de Pterocapus erinaceus après macération des échantillons de bois récoltés en 2019. Les mesures ont été réalisées au microscope équipé d'un micromètre. Ces données ont été produites en 2020 au sein de l'unité BI...
Sorghum WCA-BCNAM data
13 déc. 2023 - Genetique_Innovation_Varietale
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 - Genetique_Innovation_Varietale
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 - Genetique_Innovation_Varietale
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...
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