title: Positive assortative mating with family size as a function of predicted parental breeding values.
abstract: While other investigations have described benefits of positive assortative mating (PAM) for forest tree breeding, the allocation of resources among mates in these studies was either equal or varied, using schemes corresponding only to parental rank (i.e., more resources invested in higher-ranking parents). In this simulation study, family sizes were proportional to predicted midparent BLUP values. The distribution of midparent BLUP values was standardized by a constant, which was varied to study the range of distributions of family size. Redistributing progenies from lower- to higher-ranking families to a point where an equal number of progenies were still selected out of each family to the next generation caused minimal change in group coancestry and inbreeding in the breeding population (BP), while the additive genetic response and variance in the BP were both greatly enhanced. This generated additional genetic gains for forest plantations by selecting more superior genotypes from the BP (compared to PAM with equal family sizes) for production of improved regeneration materials. These conclusions were verified for a range of heritability under a polygenic model and under a mixed-inheritance model with a QTL contributing to the trait variation.
authors.affiliation: Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, North Carolina 27695, USA.
authors.forename: M
authors.initials: M
authors.lastname: Lstiburek
authors.forename: T J
authors.initials: TJ
authors.lastname: Mullin
authors.forename: T F C
authors.initials: TF
authors.lastname: Mackay
authors.forename: D
authors.initials: D
authors.lastname: Huber
authors.forename: B
authors.initials: B
authors.lastname: Li
mesh_terms: D000704:Analysis of Variance; D003198:Computer Simulation; D005828:Genetics, Population; D007178:Inbreeding; D008957:Models, Genetic; D011237:Predictive Value of Tests; D014197:Trees / Q000235:genetics*