Sentence examples for wheat data sets from inspiring English sources

This research used 14 maize and 16 wheat data sets with different trait environment combinations.

The maize and the wheat data sets are available as an online supplement to the publications.

When evaluated on rice and wheat data sets, TriAnnot systematically showed a higher level of reliability than other annotation pipelines that are not improved for wheat.

The summary in Table 2 shows the prediction ability of two wheat data sets for grain yield measured in various environments.

Table 5 presents the RE of the different models for selecting the best 15% of individuals in the wheat data sets.

In the rest of this article, we describe the methods used and present empirical results obtained when the M×E model was applied to three wheat data sets.

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 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.

Box 12, shows code that fits a G-BLUP model in a TRN TST setting using the wheat data set.

In the wheat data set we found members corresponding to every rice TF family suggesting that TF families are conserved between rice and wheat.