Breeding Sweet Corn for Vitamin A

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.