The Journal of Heredity 2001:92(1)
© 2001 The American Genetic Association 92:93-94
Computer Note |
MSTRAT: An Algorithm for Building Germ Plasm Core Collections by Maximizing Allelic or Phenotypic Richness
From INRA-SGAP, Centre de Montpellier, Domaine de Melgueil, 34130 Mauguio, France (Gouesnard, Bataillon, Rozale, and David), INRA, Station de Génétique Végétale, Gif sur Yvette, France (Decoux), and Department of Biology, McGill University, Montreal, Quebec, Canada (Schoen).
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Introduction |
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A core collection is a subsample of a larger germ plasm collection that contains, with a minimum of repetitiveness, the maximum possible genetic diversity of the species in question (Frankel 1984; Frankel and Brown 1984). Brown (1989a) argued that before creating the core collection, the larger collection should first be hierarchically stratified into groups of accessions that share common characters or that originate from similar ecological and geographic regions. Such a stratification could be based on passport data, knowledge of the structure of the gene pool, or both. Accessions are then drawn from each group. Several sampling strategies are used to determine how to allocate sampling effort across groups (Brown 1989b). In the absence of detailed genetic data about the individuals within the groups, all groups can be represented evenly, or in proportion to their group size, or in
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Sampling Procedure |
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Required Data
Optimization Criterion
Algorithm for the Constitution of a Core Collection of Size r
Kernel Core
Redundancy in the Collection
MSTRAT Software Availability
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Acknowledgments |
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Footnotes |
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References |
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