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Genome-enabled predictions for binomial traits in sugar beet populations
BACKGROUND: Genomic information can be used to predict not only continuous but also categorical (e.g. binomial) traits. Several traits of interest in human medicine and agriculture present a discrete distribution of phenotypes (e.g. disease status). Root vigor in sugar beet (B. vulgaris) is an examp...
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| Auteurs principaux: | , , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
BioMed Central
2014
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4113669/ https://ncbi.nlm.nih.gov/pubmed/25053450 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2156-15-87 |
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