Integer-Programming Approach to Group-Merit Selection

The ultimate goal of artificial selection is to achieve high genetic response in a given trait(s). In real-world populations, the unavoidable effect of selection is the build-up of genetic similarities within and among individuals (reduction of diversity). This in turn limits the attainment of genetic response in later generations. In reality, the approach is to select n individuals out of N candidates, where n < N. In order to alleviate the contradictory effects, one may impose certain relationship restrictions to these selections (e.g. maximum tolerable number of half-sibs in the selected set). More efficient approaches have been developed so far.

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Author(s): Milan Lstibůrek, P. Lachout, J. Klápště

Publication: Tree Improvement and Genetics - Southern Forest Tree Improvement Conference - 2007

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