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, 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.
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| Main Authors: | , , |
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| Format: | Phenotypic data biblioteca |
| Language: | English |
| Published: |
CIRAD Dataverse
2024
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| Subjects: | Agricultural Sciences, rice, aluminum, genomic prediction, genomics, forecasting, SNP, single nucleotide polymorphisms, SNP genotyping, |
| Online Access: | https://doi.org/10.18167/DVN1/HSIM8E |
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| Summary: | 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. |
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