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Identification and Characterization of Quantitative Trait Loci that Control seed Dormancy in Arabidopsis

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Seed Dormancy

Part of the book series: Methods in Molecular Biology ((MIMB,volume 773))

Abstract

Seed dormancy is a trait that is under multigenic control and affected strongly by environmental factors. Thus, seed dormancy is a typical quantitative trait. Natural accessions of Arabidopsis thaliana exhibit a great deal of genetic variation for seed dormancy. This natural variation can be used to identify genes controlling this trait by means of quantitative trait loci (QTL) mapping. In this chapter, we describe how QTL mapping for seed dormancy in Arabidopsis thaliana can be performed and how QTL analyses can be used to eventually identify the causal gene. Methods and recourses available specifically for Arabidopsis are described or referred to.

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Acknowledgments

The authors thank Colin Coltrane, Paul Keizer, and Prof. Dr. Fred van Eeuwijk for providing the formula for the regression curve.

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Authors and Affiliations

  1. Department of Molecular Plant Physiology, Utrecht University, CH, Utrecht, The Netherlands

    Leónie Bentsink

  2. Laboratory of Genetics, Wageningen University, Arboretumlaan 4 NL-6703 BD, Wageningen, The Netherlands

    Maarten Koornneef

  3. Max Planck Institute for Plant Breeding Research, Cologne, Germany

    Maarten Koornneef

Authors
  1. Leónie Bentsink
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  2. Maarten Koornneef
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Corresponding author

Correspondence to Maarten Koornneef .

Editor information

Editors and Affiliations

  1. Dept. Biological Sciences, Simon Fraser Unviersity, University Drive 8888, Burnaby, V5A 1S6, British Columbia, Canada

    Allison R. Kermode

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Bentsink, L., Koornneef, M. (2011). Identification and Characterization of Quantitative Trait Loci that Control seed Dormancy in Arabidopsis . In: Kermode, A. (eds) Seed Dormancy. Methods in Molecular Biology, vol 773. Humana Press. https://doi.org/10.1007/978-1-61779-231-1_11

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  • DOI: https://doi.org/10.1007/978-1-61779-231-1_11

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  • Publisher Name: Humana Press

  • Print ISBN: 978-1-61779-230-4

  • Online ISBN: 978-1-61779-231-1

  • eBook Packages: Springer Protocols

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