Conservation of Forest Biodiversity: how sample size affects the estimation of genetic parameters

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Autor principal: LEONARDO S. DA COSTA
Formato: Artículo científico
Lenguaje:en
Publicado: Academia Brasileira de Ciências 2015
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author LEONARDO S. DA COSTA
author_facet LEONARDO S. DA COSTA
contents Conservation of Forest Biodiversity: how sample size affects the estimation of genetic parameters LEONARDO S. DA COSTA NATHANA S. CORNELEO VALDIR M. STEFENON Multidisciplinaria (Ciencias Naturales y Exactas) study design allelic richness Sampling strategy inbreeding coefficient Efficient designs are crucial for population genetic studies on forest species. In this study we employed individual based simulations aiming to evaluate what fraction of a population should be sampled to obtain confident estimations of allelic richness and of inbreeding coefficient in population genetic surveys. The simulations suggest that at least 10% of the total population has to be sampled to ensure reliable estimations of allelic richness and inbreeding coefficient. This approach will allow the confidence of the genetic parameters estimations of a larger number of populations, based on a minimal sample within each one. 2015 artículo científico 0001-3765 https://www.redalyc.org/articulo.oa?id=32739721046 en http://www.redalyc.org/revista.oa?id=327 Anais da Academia Brasileira de Ciências application/pdf Academia Brasileira de Ciências Anais da Academia Brasileira de Ciências (Brasil) Num.2 Vol.87
format Artículo científico
id redalyc_32739721046
institution Redalyc
language en
publishDate 2015
publisher Academia Brasileira de Ciências
spellingShingle Conservation of Forest Biodiversity: how sample size affects the estimation of genetic parameters
LEONARDO S. DA COSTA
Multidisciplinaria (Ciencias Naturales y Exactas)
study design
allelic richness
Sampling strategy
inbreeding coefficient
Conservation of Forest Biodiversity: how sample size affects the estimation of genetic parameters LEONARDO S. DA COSTA NATHANA S. CORNELEO VALDIR M. STEFENON Multidisciplinaria (Ciencias Naturales y Exactas) study design allelic richness Sampling strategy inbreeding coefficient Efficient designs are crucial for population genetic studies on forest species. In this study we employed individual based simulations aiming to evaluate what fraction of a population should be sampled to obtain confident estimations of allelic richness and of inbreeding coefficient in population genetic surveys. The simulations suggest that at least 10% of the total population has to be sampled to ensure reliable estimations of allelic richness and inbreeding coefficient. This approach will allow the confidence of the genetic parameters estimations of a larger number of populations, based on a minimal sample within each one. 2015 artículo científico 0001-3765 https://www.redalyc.org/articulo.oa?id=32739721046 en http://www.redalyc.org/revista.oa?id=327 Anais da Academia Brasileira de Ciências application/pdf Academia Brasileira de Ciências Anais da Academia Brasileira de Ciências (Brasil) Num.2 Vol.87
title Conservation of Forest Biodiversity: how sample size affects the estimation of genetic parameters
topic Multidisciplinaria (Ciencias Naturales y Exactas)
study design
allelic richness
Sampling strategy
inbreeding coefficient
url https://www.redalyc.org/articulo.oa?id=32739721046