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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341 to 350 of 439 Results

tropgene_sugarcane_qtls.txt 6 août 2024 - TropGene Sugarcane Plain Text - 24,9 KB - MD5: e8af3134786a449b67730966024db802
tropgene_sugarcane_references.txt 6 août 2024 - TropGene Sugarcane Plain Text - 89,3 KB - MD5: ae347944dac31bcbd21a3311c80cc2f4
TropGene(CIRAD-AGAP) 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...
Omicas_GP_BLUEs.tab 4 juil. 2024 - Genomic prediction in upland rice for aluminum tolerance in Latin America Tabular Data - 44,3 KB - 7 Variables, 680 Observations - UNF:6:VeJGONx/u9PRGF1gUydOAw== Adjusted means (BLUEs), for the 334 S0:4 families, considering days to flower (FL), plant height (PH), grain yield (YLD) and grain zinc concentration (ZN)
Omicas_GP_genotypes.txt 4 juil. 2024 - Genomic prediction in upland rice for aluminum tolerance in Latin America Plain Text - 6,5 MB - MD5: e8e7e9a1f61b00d26f4d5c43360a184c genotypic data on the 334 S0 plants with 9928 SNP, after imputation.
Omicas_GP_germplasm.tab 4 juil. 2024 - Genomic prediction in upland rice for aluminum tolerance in Latin America Tabular Data - 15,8 KB - 3 Variables, 469 Observations - UNF:6:OUdZU0671/w1evSHWPINOg== list of 334 families extracted form the recurrent population at the S0:4 generation including the temporal and local checks
Omicas_GP_phenotypes.csv 4 juil. 2024 - Genomic prediction in upland rice for aluminum tolerance in Latin America Comma Separated Values - 107,4 KB - MD5: dc3ff60a19e36a35dfaa9e28ca7f8d3e phenotypic data acquired on 334 S0:4 families extracted from a synthetic population under two environmental conditions (LIM and ALU) following a p-rep design. Missing data are coded as NA
Omicas_GP_variables.tab 4 juil. 2024 - Genomic prediction in upland rice for aluminum tolerance in Latin America Tabular Data - 1,1 KB - 6 Variables, 19 Observations - UNF:6:ASm4Dv5CX0y6XD08opqIWA== list of traits recorded in the trials conducted in Aguazul, Colombia, during the main rice growing season in 2020
ReadMe.rtf 4 juil. 2024 - Genomic prediction in upland rice for aluminum tolerance in Latin America Rich Text Format - 1,5 KB - MD5: 01fefae085b3d45f126ddd738a048c33 ReadMe file

tropgene_sugarcane_qtls.txt

6 août 2024 - TropGene Sugarcane

Plain Text - 24,9 KB -

tropgene_sugarcane_references.txt

6 août 2024 - TropGene Sugarcane

Plain Text - 89,3 KB -

TropGene(CIRAD-AGAP)

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...

Omicas_GP_BLUEs.tab

4 juil. 2024 - Genomic prediction in upland rice for aluminum tolerance in Latin America

Tabular Data - 44,3 KB - 7 Variables, 680 Observations -

Adjusted means (BLUEs), for the 334 S0:4 families, considering days to flower (FL), plant height (PH), grain yield (YLD) and grain zinc concentration (ZN)

Omicas_GP_genotypes.txt

4 juil. 2024 - Genomic prediction in upland rice for aluminum tolerance in Latin America

Plain Text - 6,5 MB -

genotypic data on the 334 S0 plants with 9928 SNP, after imputation.

Omicas_GP_germplasm.tab

4 juil. 2024 - Genomic prediction in upland rice for aluminum tolerance in Latin America

Tabular Data - 15,8 KB - 3 Variables, 469 Observations -

list of 334 families extracted form the recurrent population at the S0:4 generation including the temporal and local checks

Omicas_GP_phenotypes.csv

4 juil. 2024 - Genomic prediction in upland rice for aluminum tolerance in Latin America

Comma Separated Values - 107,4 KB -

phenotypic data acquired on 334 S0:4 families extracted from a synthetic population under two environmental conditions (LIM and ALU) following a p-rep design. Missing data are coded as NA

Omicas_GP_variables.tab

4 juil. 2024 - Genomic prediction in upland rice for aluminum tolerance in Latin America

Tabular Data - 1,1 KB - 6 Variables, 19 Observations -

list of traits recorded in the trials conducted in Aguazul, Colombia, during the main rice growing season in 2020

ReadMe.rtf

4 juil. 2024 - Genomic prediction in upland rice for aluminum tolerance in Latin America

Rich Text Format - 1,5 KB -

ReadMe file

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