QTL Analysis 2 - Objectives and Overview

Quantitative trait locus (QTL) analysis is a methodology that combines DNA marker and phenotypic trait data to locate and characterize genes that influence quantitative traits. This is the second of a two-part series that describes the methods and uses of QTL analysis. If you have not yet reviewed the QTL Analysis I lesson, we recommend that you do so before beginning QTL Analysis II (this lesson).

Upon completing this lesson you should be able to:

  • Compare three methods of QTL analysis: single-factor analysis of variance, simple interval mapping, and composite interval mapping.
  • Understand the descriptors used to characterize QTL location and effects.
  • Describe the uses of QTL information in genetics and breeding.
  • Explain the limitations of QTL analysis.
JNRLSE Approved, 2005

Development of this lesson was supported in part by USDA Initiative for Future Agriculture and Food Systems (IFAFS) and the Cooperative State Research, Education, & Extension Service, U.S. Dept of Agriculture under Agreement Number 00-52100-9710. Any opinions, findings, conclusions or recommendations expressed in this publication are those of the author(s) and do not necessarily reflect the view of the U.S. Department of Agriculture.

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