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In Vitro Haploid Production in Higher Plants pp 255–285Cite as

Statistical models for the detection of genes controlling quantitative trait loci expression

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Part of the book series: Current Plant Science and Biotechnology in Agriculture ((PSBA,volume 24))

Abstract

Many important traits in plant breeding exhibit continuous variation (yield, maturity, biotic and abiotic stress tolerance, etc.) and therefore are named metric, polygenic, or quantitative traits (QTs). The genetic principles underlying their inheritance are basically the same as those affecting Mendelian or qualitative traits, but since the segregation of the genes concerned cannot be followed individually, new methods and concepts had to be developed. Why cannot the segregation of genes involved in the variation of a QT in a population be followed individually? It is mainly due to two common wellaccepted aspects of the genetic control of QTs: a) “many” loci are involved, and b) the effect of the individual genes is “very small” compared to the environmental effects. Consequently, a branch of the science of Genetics concerned with quantitative traits emerged, i.e., Biometrical or Quantitative Genetics.

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Authors
  1. E. A. Carbonell
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  2. M. J. Asíns
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Editors and Affiliations

  1. Plant Production Department, University of Helsinki, Helsinki, Finland

    S. Mohan Jain

  2. School of Life Science, Jawaharlal Nehru University, New Delhi, India

    S. K. Sopory

  3. Department of Horticulture, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, USA

    R. E. Veilleux

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Carbonell, E.A., Asíns, M.J. (1996). Statistical models for the detection of genes controlling quantitative trait loci expression. In: Jain, S.M., Sopory, S.K., Veilleux, R.E. (eds) In Vitro Haploid Production in Higher Plants. Current Plant Science and Biotechnology in Agriculture, vol 24. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-0477-9_12

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  • DOI: https://doi.org/10.1007/978-94-017-0477-9_12

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