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
Recommended Citation
Herr, Sam and Pollard, Dan, "Breeding Sweet Corn for Vitamin A" (2022). WWU Honors College Senior Projects. 591.
https://cedar.wwu.edu/wwu_honors/591
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