ICAR Research Data Repository for Knowledge Management
Genetic improvement through genomic prediction for Pythium spp in lines common bean
CGSpace
View Archive Info| Field | Value | |
| Title |
Genetic improvement through genomic prediction for Pythium spp in lines common bean
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| Creator |
Diaz, Lucy Milena
Arredondo, Victoria Ariza-Suarez, Daniel Aparicio, Johan Steven Buendia, Hector Fabio Cajiao, César Mosquera, Gloria Beebe, Stephen E. Mukankusi, Clare Mugisha Raatz, Bodo |
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| Subject |
pythium
common beans frijol |
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| Description |
Phenotypic and genotypic data for bean root disease and Pythium in common bean
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| Date |
2020-10
2020-11-24T21:41:06Z 2020-11-24T21:41:06Z |
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| Type |
Dataset
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| Identifier |
Diaz, L.M.; Arredondo, V.; Ariza-Suarez, D.; Aparicio, J.; Buendia, H.F.; Cajiao, C.; Mosquera, G.; Beebe, S.E.; Mukankusi, C.M.; Raatz, B. (2020) Genetic improvement through genomic prediction for Pythium spp in lines common bean, https://doi.org/10.7910/DVN/SVA5CJ, Harvard Dataverse, V1, UNF:6:8KcINHcfM+hodNh5qDYEcA== [fileUNF]
https://hdl.handle.net/10568/110287 https://doi.org/10.7910/DVN/SVA5CJ |
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| Language |
en
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| Rights |
CC-BY-4.0
Open Access |
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| Publisher |
International Center for Tropical Agriculture (CIAT)
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