1993
DOI: 10.1073/pnas.90.22.10623
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Conservation of allelic richness in wild crop relatives is aided by assessment of genetic markers.

Abstract: Wild crop relatives are an important source of genetic variation for improving domesticated species. Given limited resources, methods for maximizing the genetic diversity of collections of wild relatives are needed to help spread protection over a larger number of populations and species. Simulations were conducted to investigate the optimal strategy of sampling materials from populations of wild relatives, with the objective of maximizing the number of alleles (allelic richness) in collections of fixed size. … Show more

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Cited by 202 publications
(178 citation statements)
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“…A Fournier-Level et al by M-maximization method (Schoen and Brown, 1993). This method involves sampling the maximum variability and limiting the overall redundancy; it thus biases the homothetic allele frequency representation between the grape natural diversity present at INRA Domaine de Vassal repository and the resulting core collection sample.…”
Section: Molecular Evolution Of Grape Colourmentioning
confidence: 99%
“…A Fournier-Level et al by M-maximization method (Schoen and Brown, 1993). This method involves sampling the maximum variability and limiting the overall redundancy; it thus biases the homothetic allele frequency representation between the grape natural diversity present at INRA Domaine de Vassal repository and the resulting core collection sample.…”
Section: Molecular Evolution Of Grape Colourmentioning
confidence: 99%
“…The optimum strategy for further Ulmus collections may be to take large samples from field sites that represent as broad a range of environments as possible. In this manner, genotypic sampling is likely to capture a significant portion of the existing adaptive variation (Schoen & Brown, 1993). Isozyme markers such as the ones described here may be profitably used to choose the size of the samples in each locality and to avoid the repeated sampling of identical genotypes within regions.…”
Section: Discussionmentioning
confidence: 99%
“…Genetic resources can be more efficiently managed if they are focused on a subset of accessions known as a core collection (or core subset) which includes as much variability as possible from the whole collection (Frankel and Brown, 1984). Among all the methods proposed to construct core subsets, two are the most used: stratifying method (Brown, 1989;Franco et al, 1998) and maximizing method (M-method; Schoen and Brown, 1993) implemented in the MSTAT software package (Gouesnard et al, 2001). Recently, an advanced stochastic local search method attempting to optimize a single or multiple genetic parameters simultaneously has been proposed and implemented in the Core Hunter program (Thachuk et al, 2009).…”
Section: Introductionmentioning
confidence: 99%