Quantitative Trait Locus (QTL) Analysis 2
Date of this Version
Plant and Soil Sciences eLibrary (PASSeL) Lesson
This is the second of a two-part series that describes the methods and uses of QTL analysis.
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 1 lesson, we recommend that you do so before beginning QTL Analysis 2 (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.
- Lesson home
- QTL Analysis 2 - Objectives and Overview
- Basis of QTL Detection
- Data Structure for QTL Analysis
- QTL Analysis Methods
- Results Obtained from Single Factor ANOVA
- Simple Interval Mapping
- Composite Interval Mapping
- Population sizes for QTL studies
- QTL Analysis II - References
- Test What You’ve Learned