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where I is the maximum immigration rate and E is the maximum emigration rate.
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> -wrap-foot> Neither the minimum nor the maximum pollen immigration rate (CERVUS) was significantly correlated with any population parameter (Table 4).
We also calculated a maximum pollen immigration rate as the percentage of progeny that could not be assigned any father from within the population at a confidence level of <80%%.
We conducted regression analysis to test for correlation between minimum or maximum pollen immigration rates and population parameters.
The program MIGRATE v 2.1.0 [ 81] was used to infer the population size parameter Θ (i.e. 4 N e μ, were N e is the effective population size and μ is the mutation rate per site) and the migration rate, M (M = m/ μ, were m is the immigration rate per generation) among sardine population samples based on the maximum likelihood method [ 82].
where σ is utilized to control the immigration rate.
Under that scenario, immigration rate could decline by 60% and the population would still remain stable.
One-time immigration is assumed in Table 1, repeated immigration in Table 2, with the immigration rate ϕ in both cases set at 0.20 (one of the immigration rates considered in simulations in the next section).
Using a general linear model selection procedure based on AIC value, we found patch size was the best predictor of the selfing and immigration rate; smaller patches had a higher selfing and immigration rate.
Each solution has its own immigration rate λ and emigration rate μ.
In the hybridized employed bee phase, σ is used to control the adaptation of immigration rate.
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