2015
DOI: 10.1590/0001-3765201520140064
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Conservation of Forest Biodiversity: how sample size affects the estimation of genetic parameters

Abstract: 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 confiden… Show more

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Cited by 7 publications
(4 citation statements)
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“…Negative values indicate outbreeding [ 29 ]. Although we had a small sample size for each accession (3 individuals), small sample sizes can still provide reliable estimations if the standard deviation is acceptable [ 30 ]. The higher values of F in the set of wild accessions suggest inbreeding is much higher than in the cultivated types.…”
Section: Resultsmentioning
confidence: 99%
“…Negative values indicate outbreeding [ 29 ]. Although we had a small sample size for each accession (3 individuals), small sample sizes can still provide reliable estimations if the standard deviation is acceptable [ 30 ]. The higher values of F in the set of wild accessions suggest inbreeding is much higher than in the cultivated types.…”
Section: Resultsmentioning
confidence: 99%
“…According to Lindblom (2009), well-developed sampling designs within the field of molecular biodiversity science should be formulated around three basic areas: research study questions, research study aims and taxonomic focus. In addition to these three areas, Costa, Corneleo, and Stefenon (2015) point to further considerations: planning the number and geographic distribution of specimens to be sampled, the category and number of genetic loci to be examined, and the spatial distribution and number of individuals to be sampled within each species' population. While there is a lack of clear sampling guidelines currently in place for optimal spatio-temporal assessment of species populations, Pante et al (2015) argue that such schemes should be guided by adequate coverage of both the putative geographic/ecologic range of the species under study, and potentially closely related species over its entire range.…”
Section: Introductionmentioning
confidence: 99%
“…Given the inconsistencies among the available data on A. radiata life history, population genetics, and population status, management of the species in the North Atlantic remains a conundrum. It may be that genomic and spatial sampling has so far been insufficient to capture subtle signals of biologically relevant variation that explain observed patterns (Costa et al, 2015) because most previous genetic analyses have not included samples from the species' full geographic range, particularly US waters of the Gulf of Maine and Georges Bank (Chevolot et al, 2007;Lynghammar et al, 2014Lynghammar et al, , 2016. The most comprehensively sampled locus in A. radiata analyses to date-the mitochondrion-also exhibits a heterogeneous process history, where different pressures have been exerted in different regions, resulting in a variety of signatures (Rubinoff et al, 2006).…”
mentioning
confidence: 99%