Sentence examples for differences in merit from inspiring English sources

However, the use of genomic relationships (compared to using pedigree relationships) increased the number of animals selected, although differences in merit (based on PT_BV) and average inbreeding were small or null for all traits measured, especially for the LIC dataset.

The difference in merit between making offerings that retain signs and making offerings that are signless is just like this.

This is therefore another critical reason why the "devo" quest for differential merit would remain a necessity for all humans whatever their sex and seniority, with the smallest differences in accumulated merit (political fitness) having potentially critical consequences on survival and differential reproduction (biological fitness), especially in times of evolutionary bottlenecks.

These results represent a preliminary screen for candidate causal polymorphisms in genes of the somatotrophic axis contributing to differences in genetic merit for CIV performance.

The methodology used cannot determine whether these are due to objective differences in scientific merit or entrenched biases shared by all reviewers.

However, the authors of these studies agree that these differences do not in themselves constitute proof of bias and could simply reflect differences in scientific merit, as discussed in 31.

The observed differences in genetic merit of the selected seeds are the result of differences in selection intensity and accuracy of genomic prediction when selecting landraces and seeds within these landraces (Additional file 2: Figure S9-S10).

This table underlines the differences in genetic merit between the two groups for the traits of interest, i.e. the average GEBV ranged from 359 to 737 kg for milk yield (corresponding to 0.5 to 0.95 genetic standard deviations) and from 0.22 to 0.45 genetic standard deviations for SCC.

If the difference in relative merit of the hypotheses is very great, the mathematics may suggest devoting all the resources to the better hypothesis, mirroring the traditional paradigm.

Their analysis focuses on nine states with relatively large and generous merit aid programs and uses a difference-in-differences (DD) approach, comparing states with and without merit aid programs pre- and post-merit aid adoption.

We recognize that the explanation of differences in administrative costs would merit further attention.