Senior Project Advisor

Daniel Pollard

Document Type

Project

Publication Date

Spring 2022

Keywords

Genomic Selection, Genome-wide Association Studies (GWAS), Transcriptome-wide Association Studies (TWAS), expression Quantitative Trait Loci (eQTL)

Abstract

Improvement of prediction accuracy in genomic selection models is important to increase the genetic gains in plant breeding. Here we will apply multi-kernel genomic selection models to the prediction of carotenoid levels in sweet corn and compare this type of model to others. As multi-kernel genomic selection techniques require some computational expertise, we have created a tutorial that will walk users through the theory and the code to perform genomic selection.

Department

Biology

Subjects - Topical (LCSH)

Corn--Genetics--Web-based instruction; Genomics--Web-based instruction; Single nucleotide polymorphisms--Web-based instruction; Carotenoids--Web-based instruction

Genre/Form

Web sites

Type

Text

Rights

Copying of this document in whole or in part is allowable only for scholarly purposes. It is understood, however, that any copying or publication of this document for commercial purposes, or for financial gain, shall not be allowed without the author’s written permission.

Language

English

Format

application/pdf

Included in

Biology Commons

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