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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Detalles Bibliográficos
Autores principales: Momen, Mehdi, Bhatta, Madhav, Hussain, Waseem, Yu, Haipeng, Morota, Gota
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7833463/
https://www.ncbi.nlm.nih.gov/pubmed/33532691
http://dx.doi.org/10.1002/pld3.304

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7833463/
https://www.ncbi.nlm.nih.gov/pubmed/33532691
http://dx.doi.org/10.1002/pld3.304

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