Exact(60)
For the observed winter wheat data, the explanation lies in advances in breeding.
It was found that fourth or higher order curve fit better for wheat data whereas polynomials of the order 2 or higher fit the data well for onion.
In this paper, these methods were compared regarding inference under different conditions, using real data from a wheat data set and simulated scenarios with a small number of quantitative trait loci (QTL) (20), a moderate number of QTL (60, 180) and an extreme number of QTL (540).
The same technical approach was followed in the wheat-rye addition lines wheat+6R6R and wheat+7R7R (rye chromosomes 6 and 7 do not contain rRNA genes), and no modification in wheat-origin ribosomal chromatin organization and topology was detected, with similar results to those observed in the euploid wheat (data not shown).
The wheat data was downloaded from www.triticeaetoolbox.org.org
Dairy cattle and wheat data were used.
The same result was seen in the wheat data.
The example presented here uses the wheat data set included with the BGLR package.
In the wheat data set, 28 sequences cover Dof domains but only 22 cover it entirely.
This is likely due to picking up non-additive genetic variation that this wheat data harbors.
This research used 14 maize and 16 wheat data sets with different trait environment combinations.
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