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A method for combining molecular markers and phenotypic attributes for classifying plant genotypes

Author: Franco, J.
Author: Crossa, J.
Author: Ribaut, J.M.
Author: Betran, J.
Author: Warburton, M.L.
Author: Khairallah, M.M.
Year: 2001
Abstract: Abstract Classifying genotypes into clusters based on DNA fingerprinting, and/or agronomic attributes, for studying genetic and phenotypic diversity is a common practice. Researchers are interested in knowing the minimum number of fragments (and markers) needed for finding the underlying structural patterns of diversity in a population of interest, and using this information in conjunction with the phenotypic attributes to obtain more precise clusters of genotypes. The objectives of this study are to present: (1) a retrospective method of analysis for selecting a minimum number of fragments (and markers) from a study needed to produce the same classification of genotypes as that obtained using all the fragments (and markers), and (2) a classification strategy for genotypes that allows the combination of the minimum set of fragments with available phenotypic attributes. Results obtained on seven experimental data sets made up of different plant species, number of individuals per species' and number of markers, showed that the retrospective analysis did indeed find few relevant fragments (and markers) that best discriminated the genotypes. In two data sets, the classification strategy of combining the information on the relevant minimum fragments with the available morpho-agronomic attributes produced compact and well-differentiated groups of genotypes.
Language: English
Copyright: CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose.
Type: Article
Region: Global
Pages: 944-952
Journal issue: 6-Jul
Journal: Theoretical and Applied Genetics
Journal volume: 103
Keywords: Genetic markers
Keywords: Sampling
Keywords: Breeding
Keywords: Analytical methods
Keywords: Molecular genetics
Keywords: Models
Keywords: Plants
Keywords: Variants
Keywords: USA

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This item appears in the following Collection(s)

  • Genetic Resources
    Genetic Resources including germplasm collections, wild relatives, genotyping, genomics, and IP
  • Maize
    Maize breeding, phytopathology, entomology, physiology, quality, and biotech

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