Bootstrap method applied over resampling levels in the estimation of genetic parameters of populations
DOI:
https://doi.org/10.1590/S0103-90162001000400021Keywords:
population structure, population genetics, estimationAbstract
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 (theta ) and apparent outcrossing rate (t a). Generally, smaller errors were associated with![6299s3.gif](/img/fbpe/sa/v58n4/6299s3.gif)
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Published
2001-12-01
Issue
Section
Genetics and Plant Breeding
License
All content of the journal, except where identified, is licensed under a Creative Common attribution-type BY-NC.How to Cite
Bootstrap method applied over resampling levels in the estimation of genetic parameters of populations . (2001). Scientia Agricola, 58(4), 785-793. https://doi.org/10.1590/S0103-90162001000400021