UMR AGAP Institut

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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391 to 400 of 439 Results

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).
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
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"
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
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...
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

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).

pheno_METADATA_gs_salinity_bartholome.txt

14 sept. 2023 - Genomic selection for salinity tolerance in japonica rice

Plain Text - 952 B -

geno_gs_salinity.tab

12 sept. 2023 - Genomic selection for salinity tolerance in japonica rice

Tab-Separated Values - 20,7 MB -

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 -

Data

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"

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 -

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 -

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 -

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...

Orthogroups.GeneCount.tab

30 mai 2023 - Dioscorea alata orthologous groups identified by comparative genomics approach

Tabular Data - 5,9 MB - 47 Variables, 58916 Observations -

Gene count y orthogroup

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