Sentence examples for wheat dataset from inspiring English sources

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The publicly available wheat dataset as described in [ 15] was used to test the methods on a real dataset.

The C-kernel performed well on the CIMMYT wheat dataset that is characterized by a small number of markers and on the rice dataset (Fig.  2).

This is most likely due to the reduced number of aligned reads; if we subsample 108 reads from the 152 reads in the original wheat dataset (10,000 mapping with BWA-MEM) and repeated the test the result is not significant in ∼48% of the cases.

With the same wheat dataset, Crossa et al. [ 15] reported a slightly higher accuracy by a few percents than that found here, but this may be explained by the fact that they simultaneously fitted a polygenic effect, which was not done here.

The aim of this paper is to present this novel approach using the Pareto principle applied on individual marker loci (MixP), and to compare it with other single SNP based GWEBV prediction methods in a real Norwegian Red cattle (NRF) pedigree, and on a real wheat dataset.

Similar(55)

While filtering of repetitive sequences had also been carried out for the Brachypodium and wheat datasets considered here [ 33], a less stringent filtering criterion was used.

The Gaussian kernel had a very significantly improved fit to the data for the pig population, maize connected crosses and CIMMYT wheat datasets.

These numbers lend support to the estimates of coverage resulting from the comparison to the FL and TC wheat datasets earlier on.

Finally, for the loblolly pine and Cornell wheat datasets, the alternative kernels did not provide a significantly improved fit over the GBLUP for most traits.

The residual unmapped reads may correspond to genes missing from all three reference wheat datasets, that have more than three polymorphisms with the reference sequence (cutoff limit), or that correspond to foreign DNA contamination and/or sequencing errors [ 49].

We constructed a wheat transcript dataset for de novo assembly and quantified gene expression.

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