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Markers within each milk flow trait were sorted based on their absolute effect for the given trait of interest.
Unique regions were found for each of the 6 traits providing evidence that each individual milk flow trait offers distinct genetic information about milk flow.
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These milking speed markers explain a fraction of the genetic variance associated with milk flow traits.
In this study we have identified significant markers for six milk flow traits.
Here we report on a GWAS for milk flow traits using regression through Bayesian LASSO.
The proportion of the variance explained was similar across all milk flow traits (Table 3).
Estimates were low for the milking time traits, except for TP and milk flow traits, which had moderate heritabilities.
In an effort to evaluate the complexity of milk flow traits, the following approach was employed to determine the number of markers necessary to predict direct genomic values (DGV) for milk flow traits.
Milkability is a complex trait that is characterized by milk flow traits including average milk flow rate, maximum milk flow rate and total milking time.
This provides further evidence of the complexity of milk flow traits and the underlying relationship it has with other economically important traits for dairy cattle.
Combined Absolute Effect – refers to the absolute largest effect that the markers can have on each of the milk flow traits by summing absolute effects across each region.
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