ICAR Research Data Repository for Knowledge Management
Multivariate genomic analysis and optimal contribution selection predicts high genetic gains in cooking time, iron, zinc and grain yield in common beans in East Africa
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View Archive Info| Field | Value | |
| Title |
Multivariate genomic analysis and optimal contribution selection predicts high genetic gains in cooking time, iron, zinc and grain yield in common beans in East Africa
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| Creator |
Mukankusi, Clare
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| Subject |
genomics
breeding value cooking methods genómica valor genético |
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| Description |
Phenotypic and Genotypic data based on 358 genotypes used to estimate genomic estimated breeding values (GEBV’s) for cooking time (CKT) Seed iron content (SeedFe), Seed Zin content (SeedZn) and Grain yield (GY). The data was used to select parents for the Rapid bean cooking project (RCBP) supported by the ACIAR
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| Date |
2022-01-06
2022-03-22T09:51:19Z 2022-03-22T09:51:19Z |
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| Type |
Dataset
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| Identifier |
Mukankusi, C. (2022) "Multivariate genomic analysis and optimal contribution selection predicts high genetic gains in cooking time, iron, zinc and grain yield in common beans in East Africa", https://doi.org/10.7910/DVN/TSEZVG, Harvard Dataverse, V1, UNF:6:XGZWlNTH5nd5eCPjcbvwAw== [fileUNF]
https://hdl.handle.net/10568/118434 https://doi.org/10.7910/DVN/TSEZVG https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/TSEZVG |
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| Language |
en
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| Rights |
CC-BY-4.0
Open Access |
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