Genomic prediction in upland rice for aluminum tolerance in Latin America

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dc.creatorGrenier, Cecile
dc.creatorBartholomé, Jerome Brice
dc.creatorFrouin, Julien
dc.date2024-07
dc.date2025-02-17T20:41:42Z
dc.date2025-02-17T20:41:42Z
dc.date.accessioned2026-06-27T13:34:30Z
dc.descriptionThis 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)
dc.identifierhttps://hdl.handle.net/10568/173135
dc.identifier.urihttp://hdl.handle.net/123456789/63685
dc.languageen
dc.rightsOpen Access
dc.sourceGrenier, 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
dc.subjectgenomics
dc.subjectrice
dc.subjectforecasting
dc.subjectaluminium
dc.subjectsingle nucleotide polymorphisms-snp
dc.subjectsnp genotyping
dc.titleGenomic prediction in upland rice for aluminum tolerance in Latin America
dc.typeDataset

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