Bayesian Networks Illustrate Genomic and Residual Trait Connections in Maize (Zea mays L.)
Relationships among traits were investigated on the genomic and residual levels using
novel methodology. This included inference on these relationships via Bayesian networks
and an assessment of the networks with structural equation models. The methodology
employed three steps. First, a Bayesian multiple-trait Gaussian model was fitted to the data
to decompose phenotypic values into their genomic and residual components. Second,
genomic and residual network structures among traits were learned from estimates of these …
novel methodology. This included inference on these relationships via Bayesian networks
and an assessment of the networks with structural equation models. The methodology
employed three steps. First, a Bayesian multiple-trait Gaussian model was fitted to the data
to decompose phenotypic values into their genomic and residual components. Second,
genomic and residual network structures among traits were learned from estimates of these …
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