Sentence examples for manage genetic variability from inspiring English sources

In large populations (10,000 candidates), excluding full sib matings was not worthwhile at all whereas in small populations with high selection intensity, it was a first useful way to manage genetic variability.

Extensive quantitative genetic studies have been carried out on how to manage genetic variability and contain inbreeding while selecting for economically important traits.

Several approaches for managing genetic adaptation to captivity are incidental to already established practices for managing genetic variability in captive populations (e.g., minimizing the number of generations, equalizing family sizes and founder representation, and allowing the occasional recruitment of wild genotypes).

In order to manage the genetic variability and develop a conservation strategy for such species, it is important to examine genetic variation resulting from historical processes during repeated artificial population development through plantations.

There are unforeseeable factors which man cannot manage: bottle-necks that reduce genetic variability and phenotypes that cannot adapt to colonization.

Genetic variability should also be managed, especially since some of these breeds constitute a pool of original genes (BOUL, MER and POIT) (see Figure 3).

Population bottlenecks affect many invasive species because they frequently experience founding effects that reduce genetic variability, but paradoxically, invasive species still manage to successfully establish and adapt to new environments [ 6].

However, dispersal may help to maintain genetic variability and to produce genetically homogeneous populations.

This local breed represents both a heritage and a reservoir of genetic variability that deserves to be explored and properly managed.

However, the RRWA herd had low genetic variability (mean MLH = 0.39; Table 1) because it had been managed for >20 years as an inbred population.

The aim of this study was to understand the consequences for genetic variability across the genome when genomic information is used to estimate EBV and in managing the inbreeding generated in the course of selection on genome-enhanced EBV.