Genomic prediction in upland rice for aluminum tolerance in Latin America

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 toxic soil condition...

Full description

Bibliographic Details
Main Authors: Grenier, Cecile, Bartholomé, Jerome Brice, Frouin, Julien
Format: Conjunto de datos
Language:Inglés
Published: 2024
Subjects:
Online Access:https://hdl.handle.net/10568/173135
_version_ 1855536872055373824
author Grenier, Cecile
Bartholomé, Jerome Brice
Frouin, Julien
author_browse Bartholomé, Jerome Brice
Frouin, Julien
Grenier, Cecile
author_facet Grenier, Cecile
Bartholomé, Jerome Brice
Frouin, Julien
author_sort Grenier, Cecile
collection Repository of Agricultural Research Outputs (CGSpace)
description 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 toxic soil condition, and LIM: after liming to correct the toxicity). The genotypic data was obtained on 334 S0 plants by GBS (Mse1 and Pst1) after imputation and ended in a set of 9928 SNPs. (2023-11-08)
format Conjunto de datos
id CGSpace173135
institution CGIAR Consortium
language Inglés
publishDate 2024
publishDateRange 2024
publishDateSort 2024
record_format dspace
spelling CGSpace1731352025-12-08T09:54:28Z Genomic prediction in upland rice for aluminum tolerance in Latin America Grenier, Cecile Bartholomé, Jerome Brice Frouin, Julien genomics rice forecasting aluminium single nucleotide polymorphisms-snp snp genotyping 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 toxic soil condition, and LIM: after liming to correct the toxicity). The genotypic data was obtained on 334 S0 plants by GBS (Mse1 and Pst1) after imputation and ended in a set of 9928 SNPs. (2023-11-08) 2024-07 2025-02-17T20:41:42Z 2025-02-17T20:41:42Z Dataset https://hdl.handle.net/10568/173135 en Open Access Grenier, C.; Bartholomé, J.B.; Frouin, J. (2024) Genomic prediction in upland rice for aluminum tolerance in Latin America. https://doi.org/10.18167/DVN1/HSIM8E
spellingShingle genomics
rice
forecasting
aluminium
single nucleotide polymorphisms-snp
snp genotyping
Grenier, Cecile
Bartholomé, Jerome Brice
Frouin, Julien
Genomic prediction in upland rice for aluminum tolerance in Latin America
title Genomic prediction in upland rice for aluminum tolerance in Latin America
title_full Genomic prediction in upland rice for aluminum tolerance in Latin America
title_fullStr Genomic prediction in upland rice for aluminum tolerance in Latin America
title_full_unstemmed Genomic prediction in upland rice for aluminum tolerance in Latin America
title_short Genomic prediction in upland rice for aluminum tolerance in Latin America
title_sort genomic prediction in upland rice for aluminum tolerance in latin america
topic genomics
rice
forecasting
aluminium
single nucleotide polymorphisms-snp
snp genotyping
url https://hdl.handle.net/10568/173135
work_keys_str_mv AT greniercecile genomicpredictioninuplandriceforaluminumtoleranceinlatinamerica
AT bartholomejeromebrice genomicpredictioninuplandriceforaluminumtoleranceinlatinamerica
AT frouinjulien genomicpredictioninuplandriceforaluminumtoleranceinlatinamerica