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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51 to 60 of 65 Results
Phenotypic data of the CNA6 population from cycle 3 to cycle 7
8 nov. 2023 - Genetique_Innovation_Varietale
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 - Genetique_Innovation_Varietale
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 - Genetique_Innovation_Varietale
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"
Dioscorea alata orthologous groups identified by comparative genomics approach
30 mai 2023
Zotta Mota Ana; Dossa Komivi; Lechaudel Mathieu; Cornet Denis; Mournet Pierre; Lopez David; Chaïr Hana, 2023, "Dioscorea alata orthologous groups identified by comparative genomics approach", https://doi.org/10.18167/DVN1/A4OYRU, CIRAD Dataverse, V1, UNF:6:Mm4r24Pt1/V2jUjXVOvOQw== [fileUNF]
Yams are important tubers widely consumed in developing countries in various forms, mainly boiled, pounded and fried. Tuber quality is a key criterion for acceptance by the various actors in the value chain. However, the genetics of yam tuber quality has not yet been comprehensiv...
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 - Genetique_Innovation_Varietale
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...
Agroforice dataset: light simulation on oil palm-based intercropping system and phenotypic measurements of rice in response to light reduction and diurnal variation
9 mars 2023
Perez, Raphaël, 2023, "Agroforice dataset: light simulation on oil palm-based intercropping system and phenotypic measurements of rice in response to light reduction and diurnal variation", https://doi.org/10.18167/DVN1/PQAJTV, CIRAD Dataverse, V1, UNF:6:RfxqiQ6rZh3FxDSrYyzuLQ== [fileUNF]
This dataset contains: - simulation outputs of a light model performed on various design of oil palm with variations in planting density (inter row and intra row distances). The data are the transmitted light to the ground. Light simulations were performed using the ARCHIMED-PHYS...
Genotypic and phenotypic dataset for Grain yield in an indica rice diversity panel
28 janv. 2022
DJERRAB Doâa; DINGKUHN Michael; GRENIER Cecile; FROUIN julien; Julie Mae Criste Pasuquin; REBOLLEDO Maria-Camila, 2022, "Genotypic and phenotypic dataset for Grain yield in an indica rice diversity panel", https://doi.org/10.18167/DVN1/Z1ATYE, CIRAD Dataverse, V1, UNF:6:gfiklsdOzEjPuBMqUpXnMw== [fileUNF]
Genotyping and phenotypic dataset for GWAS analysis of Phenomics of Rice Adaptation and Yield (PRAY) project conducted in China, Colombia, India, Phillipines, Senegal from 2011 to 2016. Genotyping matrix contains 208 631 SNPs x 281 accessions of PRAY project. Phenotypic data are...
Fichiers complémentaires. Données sur les caféiers Robusta de Guinée
16 avr. 2021 - Projet SEP 2D – Guinee
Labouisse, Jean-Pierre, 2021, "Fichiers complémentaires. Données sur les caféiers Robusta de Guinée", https://doi.org/10.18167/DVN1/6VBK46, CIRAD Dataverse, V1
Fichiers supplémentaires d'un article sur les caféiers C. canephora de Guinée collectés dans le cadre du projet FOGEFO-PLUS : Liste des échantillons collectés, matrice de génotypage, analyse factorielle (PCoA-Logiciel DarWin) et analyse bayésienne (STRUCTURE)
Liste des espèces végétales utiles recensées dans le Projet FOGEFO-PLUS (Guinée, 2017-2020)
16 avr. 2021 - Projet SEP 2D – Guinee
Diabaté, Moussa, 2021, "Liste des espèces végétales utiles recensées dans le Projet FOGEFO-PLUS (Guinée, 2017-2020)", https://doi.org/10.18167/DVN1/LQBWC9, CIRAD Dataverse, V1
Liste d'espèces forestières utiles recensées lors d'enquêtes auprès de villageois de Guinée Forestière de 2017 à 2020.
Projet SEP 2D – Guinee(CIRAD)
16 avr. 2021
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