A model of the migration patter in a metapopulation of sea beet (Beta
vulgaris L. ssp. maritima), based on the continuous distributions of s
eed and pollen movements, is fitted to gene frequency data at 12 isozy
me and RFLP loci by maximum likelihood by using an approximation of th
e simultaneous equilibrium distribution of the gene frequencies genera
ted by the underlying multivariate stochastic process of genetic drift
in the population. Several alternative restrictions of the general mo
del are fitted to the data, including the island model, a model of com
plete isolation, and a model in which the seed and pollen dispersal va
riances are equal. Several likelihood ratio tests between these altern
atives are performed, and median bias in the estimated parameters is c
orrected by using parametric bootstrapping. To assess the fit of the s
elected model, the predicted covariances are compared with covariances
computed from the data directly. The dependency of estimated paramete
rs on the ratio between effective and absolute subpopulation sizes, wh
ich is treated as a known parameter in the analysis, is also examined.
Finally, we note that the data also appear to contain some informatio
n about this ratio.