Sentence examples for performance of population from inspiring English sources

Packaging genetic analysis within a familiar and flexible environment resulted in quick understanding and effective performance of population genetic analyses.

In particular, it is unclear whether including noise in one or another parameter makes a difference to the performance of population dynamical models.

These findings indicate that the performance of particular genotypes of ECM will differ depending on the availability of N. The availability of N may therefore be one factor that influences the extent to which genotypic richness regulates the performance of populations.

However, performance of populations of species prone to inbreeding depression may be compromised by founder effects, inbreeding, or landscape fragmentation (Broadhurst et al. 2008; Weeks et al. 2011).

For example, increasing host tolerance is theoretically less effective for improving performance of populations infected with pathogens that cause minor rather than major mastitis.

To test how source population size affects the performance of a population in a novel environment relative to its native environment, the survival of transplanted individuals from populations of known census size was compared in 'home' and 'away' environments.

The evolutionary potential of a population was not related to its size, the performance of the population or its neutral genetic diversity.

Consequently, we were able to use this approach to quantify the differences between the performance of current population in a changed climate and that of a population that has adapted optimally to the new climate.

For these indicators we identified a measurement scale from the performance of a population of normal subjects performing the same task.

Given the large range of functional attributes seen in individual isolates of fungi, we predict that manipulation of intraspecific diversity of ECM fungal populations will have quantifiable effects on the overall performance of the population.

Network functioning was estimated by quantifying the performance of the population described by each network as the number of per-capita juvenile plants produced per population.