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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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Dettagli Bibliografici
Pubblicato in:Plant Direct
Autori principali: Momen, Mehdi, Bhatta, Madhav, Hussain, Waseem, Yu, Haipeng, Morota, Gota
Natura: Artigo
Lingua:Inglês
Pubblicazione: John Wiley and Sons Inc. 2021
Soggetti:
Accesso online: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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