Sentence examples for variance in productivity from inspiring English sources

The main research question was understanding which factor contributed the most to the variance in productivity: the patient or the physician.

The fraction of breeders showed a higher variability than litter size, suggesting that the main part of variance in productivity is due to the probability of breeding.

In general, we found fairly high levels of both additive and non-additive genetic variance in F1 productivity.

With this design, we did not expect male genotype to contribute significantly to genetic variance in F1 productivity.

Overall, variance in parental productivity and egg-to-adult survival was dominated by maternal and paternal effects.

In contrast to the results from the first cross, the non-reciprocal compatibility variance σ k also contributed significantly to the variance in F1 productivity.

We note that our estimate of additive genetic variance in F1 productivity (CV A = 14%) is sufficient to generate indirect selection on female choice.

We found sizeable additive and non-additive genetic variance in F1 productivity, but lower genetic variance in egg-to-adult survival, which was strongly influenced by maternal and paternal effects.

In contrast, variance in F1 productivity was affected by sizeable components of both additive and non-additive genetic variation as well as by sex-specific interactions between the maternal and paternal genomes.

We find substantial variation in productivity among English hospitals, suggesting scope for productivity improvement.

Our PLS model was able to capture most of the variance in the target productivity, despite using only 3 latent variables to describe the input data).