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To clean or not to clean phenotypic datasets for outlier plants in genetic analyses?
Excluding outlier plants (biological replicates deviating from the expected distribution on a multi-criteria basis) from phenotypic datasets is necessary to avoid false-positive associations between genome markers and traits.
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6685653/ https://www.ncbi.nlm.nih.gov/pubmed/31020325 http://dx.doi.org/10.1093/jxb/erz191 |
| Sumario: | Excluding outlier plants (biological replicates deviating from the expected distribution on a multi-criteria basis) from phenotypic datasets is necessary to avoid false-positive associations between genome markers and traits. |
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