Richard Elmer Boyles

Improving grain yield prediction in Southern US oat germplasm using genomics information and environmental covariates

Genetic gains of oat (Avena sativa L.) grain yield have been historically low compared to other major cereal crops. The use of machine learning models to capture complex interactions and leveraging data types other than genomic information in prediction models has great potential...