Agronomy and Horticulture Department
Quantitative Trait Locus (QTL) Analysis 1
Date of this Version
2005
Document Type
Article
Citation
Plant and Soil Sciences eLibrary (PASSeL) Lesson
Abstract
This is the first of a two-part series that describes the methods and uses of QTL analysis.
Understanding the genetic control of quantitative traits helps plant breeders improve crop yield, disease resistance, end-use quality, and other important characteristics. 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. In this pair of lessons (QTL Analysis 1 and 2) we will provide an overview of the methods and uses of QTL analysis rather than detailed explanations of this complex statistical methodology.
Upon completing this lesson (QTL Analysis 1) you should be able to:
- Explain the basic concepts of QTL analysis.
- List the main components of a QTL study.
- Name three types of population used in QTL analysis and describe how they are developed.
- Describe the steps in phenotypic evaluation in a QTL study.
- Explain the process and outputs of marker evaluation in a QTL study.
Modules:
Comments
Copyright © 2005 Patrick Byrne. Used by permission.
JNRLSE approved 2005
This project was supported in part by the National Research Initiative Competitive Grants CAP project 2011-68002-30029 from the USDA National Institute of Food and Agriculture, administered by the University of California-Davis and by the National Science Foundation (NSF), Division of Undergraduate Education, National SMETE Digital Library Program, Award #0938034, administered by the University of Nebraska. Any opinions, findings, conclusions, or recommendations expressed in this publication are those of the authors and do not necessarily reflect the views of the USDA or NSF.
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 authors and do not necessarily reflect the view of the U.S. Department of Agriculture.