BOOTSTRAP VARIANCE OF DIVERSITY AND DIFFERENTIATION ESTIMATORS IN A SUBDIVIDED POPULATION

We have recently proposed new estimators of the parameters of genetic diversity and differentiation and of their variances for a haploid loc us in a population subdivided into a large number of subpopulations, w ith a two-stage sampling of populations and individuals. Here they are compared with bootstrap estimators, Several resampling methods are ev aluated: sampling of populations only, individuals within populations only, or both. Theoretical results and a numerical example show that t he most appropriate bootstrap variance estimators are obtained by resa mpling the populations alone and not both populations and individuals. However, some bias is apparent in the bootstrap methods, and the dire ct estimators proposed previously should therefore be preferred.