Método bootstrap aplicado em níveis de reamostragem na estimação de parâmetros genéticos populacionais
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Data
2001
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Resumo
Genetic structure and reproductive system of natural populations have often been studied using
molecular markers and isozymes. Specific genetic parameters are therefore being estimated for this purpose.
There is little information about errors associated with these estimates due to different possible sampling
levels. Some real datasets were used in this study and bootstrapping was performed over loci, individuals,
populations and both individuals and populations simultaneously. These different resampling strategies
produced associated errors of the estimates and their empiric distributions and confidence intervals for the
following parameters: total fixation index (F ), fixation index within populations ( f ), diversity between populations
(θ ) and apparent outcrossing rate ( ta ). Generally, smaller errors were associated with . The only empirical
distribution of estimates approaching normality were for F$ and f$ when individuals were envolved in the
resampling process. Bootstrap samples of variable sizes were used to obtain the number of loci, individuals
and populations necessary to achieve a given precision of F$ , f$ and . Generally, the magnitude of errors of
the estimates in most datasets indicated that sample sizes currently used in research involving natural
populations were suitable only for the estimation of θ . The largest errors of F$ and f$ , were associated to
sampling errors due to loci. Therefore, future studies should use larger numbers of loci. Sampling errors due
to population was also important and should not be neglected.
Keywords: population structure, population genetics, estimation
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Palavras-chave
Estrutura populacional, Genética de populações, Estimação, Population structure, Population genetic, Estimation
Citação
GARCIA, Luciana Aparecida Carlini; VENCOVSKY, Roland; COELHO, Alexandre Siqueira Guedes. Método bootstrap aplicado em níveis de reamostragem na estimação de parâmetros genéticos populacionais. Scientia Agricola, Piracicaba, SP, v. 58, n. 4, p. 785-793, 2001.