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Mapping and manipulating quantitative traits in maize

C W Stuber1

  • 1US Department of Agriculture, Agricultural Research Service, Department of Genetics, State University, Raleigh, NC 27695-7614, USA.

Trends in Genetics : TIG
|December 1, 1995
PubMed
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Maize research shows major genes significantly influence quantitative traits, challenging the long-held belief of small-effect genes. This finding validates the study of major loci for trait manipulation.

Area of Science:

  • Plant genetics
  • Quantitative trait loci (QTL) analysis
  • Molecular breeding

Background:

  • Maize (Zea mays) serves as a key model organism for plant genetics research.
  • Historically, quantitative traits were believed to be controlled by numerous genes with minor effects.
  • This dogma presented challenges in isolating genes responsible for complex traits.

Purpose of the Study:

  • To evaluate the role of molecular markers in identifying and manipulating major genes.
  • To investigate the genetic architecture of quantitative traits in plants.
  • To challenge the prevailing notion of polygenic control for all quantitative traits.

Main Methods:

  • Utilizing maize as a model organism for genetic studies.
  • Developing and evaluating molecular markers.

Related Experiment Videos

  • Employing mapping studies to identify genetic loci.
  • Conducting marker-facilitated selection and introgression studies.

    • Main Results:

    • Recent mapping studies indicate that quantitative traits are influenced by factors with major effects.
    • The existence and study of major loci controlling quantitative traits are now credible.
    • Marker-facilitated selection and introgression studies provide supporting evidence.

    Conclusions:

    • Major genes play a significant role in the expression of quantitative traits in plants.
    • The study of major loci is feasible and crucial for understanding complex traits.
    • Findings support the use of molecular markers for genetic improvement in crops.