Genetic Association Mapping : Missing Markers, Epistatic Effects, and Applications

<p>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.</p>

Name thesis:degree_name

Master of Science (MS)

Level thesis:degree_level

Thesis - University Access Only

Discipline thesis:degree_discipline

Plant Science

Year dc:date.available

2014

Author dc:creator

• Xu, Yi

Contributors dc:contributor

• Jixiang Wu

• Plant Sciences

Statement dc:rights

• <p>In Copyright - Non-Commercial Use Permitted<br /><a href="http://rightsstatements.org/vocab/InC-NC/1.0/">http://rightsstatements.org/vocab/InC-NC/1.0/</a></p>

Language dc:language

en

Repository record dc:identifier

https://openprairie.sdstate.edu/etd/1592

OAI identifier oai:identifier

oai:openprairie.sdstate.edu:etd-2591