Sentence examples for between traits with some from inspiring English sources
The chromosome-wise genomic proportions of the total variance differed between traits, with some chromosomes explaining higher or lower values than expected in relation to chromosome size.
Using M1, we observed differences in the decrease of the model R between traits, with the UD trait being the least influenced by GA*.
This is also an example of a non-linear association between traits with respect to fitness, whereas the GFP theory would predict linear associations with fitness.
Representing the associations between traits with networks may provide better insights into the underlying biological mechanisms and offer opportunities for management tools to focus on pathways instead of correlations.
Estimates of the FDR of SNPs declared significant (P < 10-4) differed between traits, with a low value for live weight, muscle shear force (LLPF), and post-weaning IGF-I concentration (PWIGF), ranging from 2 to 11% (Table 3), and a moderate value (14% to 21%) for the remaining traits.
In detail, our findings provide evidence for both repeated and correlated evolution between traits associated with dart shooting and spermatophore receipt.
One again, using partial F-tests we tested for differences in the relationship between the traits with respects to diet treatment and wing morph.
We also estimated phenotypic correlations in ASReml for both types of animal models by dividing the phenotypic covariances between the traits with the multiplied standard deviations.
This leads us to emphasize the difficulty of disentangling the sources of covariation between two traits with samples consisting only of MZ and DZ twins.
Most of the unexpected pleiotropic effects (57 out of 71) occurred between sleep traits with statistically significant (although not necessarily high) genetic correlations in the DGRP population (Additional file 1).
In addition, a BF test was constructed to identify the significant transition rates between discrete traits with the Bayesian stochastic search variable selection (BSSVS) extension of the discrete model.
