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      Quality of core collections for effective utilisation of genetic resources review, discussion and interpretation

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          Abstract

          Definition of clear criteria for evaluation of the quality of core collections is a prerequisite for selecting high-quality cores. However, a critical examination of the different methods used in literature, for evaluating the quality of core collections, shows that there are no clear guidelines on the choices of quality evaluation criteria and as a result, inappropriate analyses are sometimes made leading to false conclusions being drawn regarding the quality of core collections and the methods to select such core collections. The choice of criteria for evaluating core collections appears to be based mainly on the fact that those criteria have been used in earlier publications rather than on the actual objectives of the core collection. In this study, we provide insight into different criteria used for evaluating core collections. We also discussed different types of core collections and related each type of core collection to their respective evaluation criteria. Two new criteria based on genetic distance are introduced. The consequences of the different evaluation criteria are illustrated using simulated and experimental data. We strongly recommend the use of the distance-based criteria since they not only allow the simultaneous evaluation of all variables describing the accessions, but they also provide intuitive and interpretable criteria, as compared with the univariate criteria generally used for the evaluation of core collections. Our findings will provide genebank curators and researchers with possibilities to make informed choices when creating, comparing and using core collections.

          Electronic supplementary material

          The online version of this article (doi:10.1007/s00122-012-1971-y) contains supplementary material, which is available to authorized users.

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          Probability plotting methods for the analysis of data.

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            PowerCore: a program applying the advanced M strategy with a heuristic search for establishing core sets.

            Core sets are necessary to ensure that access to useful alleles or characteristics retained in genebanks is guaranteed. We have successfully developed a computational tool named 'PowerCore' that aims to support the development of core sets by reducing the redundancy of useful alleles and thus enhancing their richness. The program, using a new approach completely different from any other previous methodologies, selects entries of core sets by the advanced M (maximization) strategy implemented through a modified heuristic algorithm. The developed core set has been validated to retain all characteristics for qualitative traits and all classes for quantitative ones. PowerCore effectively selected the accessions with higher diversity representing the entire coverage of variables and gave a 100% reproducible list of entries whenever repeated. PowerCore software uses the .NET Framework Version 1.1 environment which is freely available for the MS Windows platform. The files can be downloaded from http://genebank.rda.go.kr/powercore/. The distribution of the package includes executable programs, sample data and a user manual.
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              Nested core collections maximizing genetic diversity in Arabidopsis thaliana.

              The successful exploitation of natural genetic diversity requires a basic knowledge of the extent of the variation present in a species. To study natural variation in Arabidopsis thaliana, we defined nested core collections maximizing the diversity present among a worldwide set of 265 accessions. The core collections were generated based on DNA sequence data from a limited number of fragments evenly distributed in the genome and were shown to successfully capture the molecular diversity in other loci as well as the morphological diversity. The core collections are available to the scientific community and thus provide an important resource for the study of genetic variation and its functional consequences in Arabidopsis. Moreover, this strategy can be used in other species to provide a rational framework for undertaking diversity surveys, including single nucleotide polymorphism (SNP) discovery and phenotyping, allowing the utilization of genetic variation for the study of complex traits.
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                Author and article information

                Contributors
                thomas.odong@wur.nl
                Journal
                Theor Appl Genet
                Theor. Appl. Genet
                TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik
                Springer-Verlag (Berlin/Heidelberg )
                0040-5752
                1432-2242
                15 September 2012
                15 September 2012
                February 2013
                : 126
                : 2
                : 289-305
                Affiliations
                [ ]Biometris, Wageningen University and Research Centre, P.O. Box 100, 6700 AC Wageningen, The Netherlands
                [ ]Centre for Genetic Resources, The Netherlands (CGN), Wageningen, The Netherlands
                Author notes

                Communicated by R. Varshney.

                Article
                1971
                10.1007/s00122-012-1971-y
                3555244
                22983567
                4f011f55-2e51-48e7-9f4a-4eb9a6c1c287
                © The Author(s) 2012
                History
                : 8 February 2012
                : 16 August 2012
                Categories
                Review
                Custom metadata
                © Springer-Verlag Berlin Heidelberg 2013

                Genetics
                Genetics

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