Sentence examples for genetic projection from inspiring English sources

The sensitivity of the genetic projection modelling to the imposed mortality rate is considered in Appendix  A.

The sensitivity of the genetic projection modelling to the imposed birth rate is considered in Appendix  A.

Using a genetic projection model, the expected population genetic structures arising from predicted connectivity patterns are simulated and compared quantitatively with the empirical data from microsatellite analyses.

Here, we have shown that key biological characteristics of the early life-history stages of two Antarctic fishes, when integrated into individual-based models of connectivity and genetic projection models, can yield informative and accurate projections of population genetic differentiation.

By combining empirical genetic data and numerical oceanographic, transport and genetic projection models, we have identified important drivers of population genetic structure in two contrasting Antarctic marine fish species.

The biggest influence on projected was the connectivity matrix, thus highlighting the importance of adequate representation of the underlying oceanographic flows for genetic projections, and the potential for future impacts on population genetic structure due to changes in circulation caused by large-scale variability in climatic forcing.

Indirect evidence is also available from assessments of relevant within-population genetic diversity, for example in tolerance traits in the face of warming or ocean acidification stress, which may then be combined with population genetic projections on adaptation rates (Sunday et al. 2011; Kelly et al. 2013).

The extent of interannual variability in oceanographic population genetic structure projections across 5 years endorses the need to incorporate, where possible, a temporal series of samples for comparison, on both localized and regional scales.

An intergeneration projection genetic algorithm is employed to seek for Pareto optimum of the uncertain problem.

The intergeneration projection genetic algorithm is employed to solve the finally obtained deterministic and non-constraint optimization problem.

In order to obtain the minimal and maximal reliability index, the corresponding solution strategy is developed, in which the intergeneration projection genetic algorithm (IP-GA) with fine global convergence performance is employed as inner and outer optimization solver.