Sentence examples for multiple population sources from inspiring English sources

Exact(2)

However, local ecotypes do not always outperform nonlocal sources (Bischoff et al. 2010) and crossing multiple population sources does not always result in outbreeding depression (Edmands 2007).

A number of reintroductions have involved multiple population sources, sometimes mixing animals from the postulated eastern and western ESUs (Durka et al. 2005).

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Breakdown of prevalence according to health service needs by patient subgroup Development and testing of validated statistical methods for use in other settings Multiple population-based data sources: cancer registry, a patterns of care study and Medicare and Pharmaceutical Benefits data.

High levels of gene flow maintain adequate levels of self-incompatibility alleles (see (Young et al. 2000a) and require that multiple populations are used as sources for translocations, or that recipient populations are augmented frequently.

To increase genetic variation and take advantage of heterosis, it may be sensible to source material from multiple populations even when these are located along a gradient (Fig. 1, scenarios 5 9).

Under the model, multiple source populations contribute to an admixed population, potentially with their male and female contributions varying over time.

Here, expanding on the model of Verdu and Rosenberg (2011), we develop a model that mechanistically considers sex-specific admixture histories in which multiple source populations contribute to the admixed population, potentially with varying female and male contributions across generations.

Trials were conducted from 2005 through 2012 in multiple populations.

Additional file 1 Marginalized Mixture Models for Count Data from Multiple Source Populations.

To model counts from multiple source populations, Wang et al. (1996) proposed multi-component Poisson mixture distributions, and their approach has been extended to other finite mixtures of non-degenerate count distributions.

We used random effect models when heterogeneity was large allowing studies to come from multiple source populations with different distributions between exposure and effect.

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