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Multi-trait association mapping in sugar beet (Beta vulgaris L.)

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Abstract

Association mapping promises to overcome the limitations of linkage mapping methods. The main objective of this study was to examine the applicability of multivariate association mapping with an empirical data set of sugar beet. A total of 111 diploid sugar beet inbreds was selected from the seed parent heterotic pool to represent a broad diversity with respect to sugar content (SC). The inbreds were genotyped with 26 simple sequence repeat markers chosen according to their map positions in proximity to previously identified quantitative trait loci for SC. For SC and beet yield (BY), the genotypic variances were highly significant (P < 0.01). Based on the global test of the bivariate mixed-model approach, four markers were significantly associated with SC, BY, or both at a false discovery rate of 0.025. All four markers were significantly (P < 0.05) associated with BY but only two with SC. The identification of markers associated with SC, BY, or both indicated that association mapping can be successfully applied in a sugar beet breeding context for detection of marker-phenotype associations. Furthermore, based on our results multivariate association mapping can be recommended as a promising tool to discriminate with a high mapping resolution between pleiotropy and linkage as reasons for co-localization of marker-phenotype associations for different traits.

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Acknowledgments

This research was conducted within the Breeding and Informatics (BRAIN) project of the Genome Analysis of the Plant Biological System (GABI) initiative (http://www.gabi.de). The authors appreciate the editorial work of Dr. J. Muminović, whose suggestions considerably improved the style of the manuscript. The authors thank two anonymous reviewers for their valuable suggestions.

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Authors and Affiliations

  1. Institute for Plant Breeding, Seed Science, and Population Genetics, University of Hohenheim, 70593, Stuttgart, Germany

    Benjamin Stich & Albrecht E. Melchinger

  2. Institute for Crop Production and Grassland Research, University of Hohenheim, 70593, Stuttgart, Germany

    Hans-Peter Piepho

  3. KWS SAAT AG, Grimsehlstr. 31, 37555, Einbeck, Germany

    Britta Schulz

Authors
  1. Benjamin Stich
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  2. Hans-Peter Piepho
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  3. Britta Schulz
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  4. Albrecht E. Melchinger
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Correspondence to Albrecht E. Melchinger.

Additional information

Communicated by H. C. Becker.

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Stich, B., Piepho, HP., Schulz, B. et al. Multi-trait association mapping in sugar beet (Beta vulgaris L.). Theor Appl Genet 117, 947–954 (2008). https://doi.org/10.1007/s00122-008-0834-z

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  • DOI: https://doi.org/10.1007/s00122-008-0834-z

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