4.3 Article

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

Journal

ANAIS DA ACADEMIA BRASILEIRA DE CIENCIAS
Volume 87, Issue 2, Pages 1095-1100

Publisher

ACAD BRASILEIRA DE CIENCIAS
DOI: 10.1590/0001-3765201520140064

Keywords

sampling strategy; study design; allelic richness; inbreeding coefficient

Funding

  1. Fundacao de Amparo a Pesquisa do Estado do Rio Grande do Sul (FAPERGS) [0902170]
  2. Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq) [314664/2009-2, 502804/2009-2]
  3. UNIPAMPA

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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.

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