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Modeling multiple phenotypes in wheat using data‐driven genomic exploratory factor analysis and Bayesian network learning
Inferring trait networks from a large volume of genetically correlated diverse phenotypes such as yield, architecture, and disease resistance can provide information on the manner in which complex phenotypes are interrelated. However, studies on statistical methods tailored to multidimensional pheno...
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| Publicado en: | Plant Direct |
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| Autores principales: | , , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
John Wiley and Sons Inc.
2021
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7833463/ https://ncbi.nlm.nih.gov/pubmed/33532691 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/pld3.304 |
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