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Yi Xu

Document Type

Thesis - University Access Only

Award Date

2014

Degree Name

Master of Science (MS)

Department / School

Plant Science

First Advisor

Jixiang Wu

Abstract

Association mapping has been widely used to detect desirable genetic markers associated with traits of interest for plant improvement. Missing marker data are a common and yet challenging issue in many association mapping studies, especially as the number of markers used for these studies is large. On the other hand, selection of several sets of DNA markers with potential epistasis associated with target traits will greatly help plant improvement via a marker assisted selection approach. In this study, we first proposed a linkage-based imputation method for missing marker data given available linkage information and then integrated a MDR (multifactor dimensionality reduction) method with a forward variable selection approach. The simulation studies showed that both the proposed linkage-based imputation method and MDR-based forward selection method performed well. We also applied these methods to determine SNP (single nucleotide polymorphism) markers with potential epistasis associated with agronomic traits in two crops: barley and wheat.

Library of Congress Subject Headings

Gene mapping
Epistasis (Genetics)
Crop improvement
Genetic markers

Description

Includes bibliographical references (pages 118-136)

Format

application/pdf

Number of Pages

147

Publisher

South Dakota State University

Rights

In Copyright - Non-Commercial Use Permitted
http://rightsstatements.org/vocab/InC-NC/1.0/

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