COMPARISON OF ANCESTRAL AND CURRENT GENERATION INBREEDING IN AN EXPERIMENTAL STRAWBERRY BREEDING POPULATION

Progenies from first-generation self, half-sib, full-sib, and cross fertilizations were generated to evaluate the magnitude nf inbreeding depression for vegetative and production traits in strawberry. Tests were conducted to determine the linearity of trait mean depression with inbreeding rate (Delta F) over this range of inbreeding values, as an indication of the presence of non-additive epistasis. A control population, for which a similar range of coancestry had accumulated over several cycles of breeding and selection, was also generated to compare the consequences of ancestral and current-generation inbreeding. Trait means for crosses among current-generation half-sibs, full-sibs, and selfs were 2-17%, 3-12%, and 14-45% lower than for unrelated crosses among the same set of parents, respectively. Linear regression of progeny means on current-generation Delta F was significantly negative for all traits and explained 17-44% nf thp variance among progeny means. Mean depression was largely linear over the range of inbreeding rates tested in this population, indicating the absence of epistasis for the traits evaluated. Conversely, regressions of progeny means on pedigree inbreeding coefficients (F), where coancestry had accumulated over several cycles of breeding and selection, were uniformly nonsignificant and explained 0-10% of the variance among cross means. Further, multiple regression of progeny means for current-generation relatives on pedigree F failed to improve fit significantly over regression on current-generation Delta F alone for all traits. Together, these results suggest that pedigree inbreeding coefficients are poor predictors of changes in homozygosity when populations are developed through multiple cycles of breeding and selection. They also imply that inbreeding depression will be of minor importance for strawberry breeding populations managed with adequate population sizes and strong directional selection.