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Maximizing gain at restricted group coancestry in selection from populations with a hiearchical structure Open Access

Descriptions

Author or creator
Wei, R.-P.
Yeh, F.C.
Additional contributors
Subject/Keyword
Group coancestry
Family contributions
Gain
Breeding population
Optimal selection
Effective size
Type of item
Journal Article (Published)
Language
English
Place
Time
Description
A general model was derived to find a set of optimal family contributions within a single cycle of selection from populations with a strictly hierarchical structure. The model maximized genetic gain at restricted selection proportion and group coancestry, or minimized group coancestry at restricted selection proportion and genetic gain. Populations generated from single-pair/open-pollinated and nested mating designs, as special cases of hierarchical populations, were considered in order to exemplify optimal selection through numerical analyses and simulations. Numerical analyses were made with the assumption that family numbers were finite, while family sizes were infinitely large. Monte Carlo simulations generated breeding populations of finite family number and size. The contribution of a full-sib family was a function of within-family variation, the breeding values of the different types of families involved, and the constraints considered in optimization. Results concerning the optimal solutions were discussed in terms of selection intensity, group coancestry, heritability and gain.
Date created
2000
DOI
doi:10.7939/R3RN30F06
License information
Rights
© 2000 JD Sauerlaender's Verlag. This version of this article is open access and can be downloaded and shared. The original author(s) and source must be cited.
Citation for previous publication
Wei, R-P; Yeh, FC. (2000). Maximizing gain at restricted group coancestry in selection from populations with a hiearchical structure. Silvae Genetica, 49(6), 281-290.
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