The Agricultural Genome to Phenome Initiative (AG2PI) is hosting a virtual field day, “Phenomic Prediction & Bioinformatic Workflows – AG2PI “Coconut” Grant Outcomes,” on March 20 from 10:30 AM – 12:00 PM CT. The meeting will highlight two “coconut” (large seed) grant projects. In his talk, “When Are Models Too Good to be True? Accurately Evaluating Phenomic Prediction as a Tool for Plant Breeding,” Dr. Daniel Runcie, from the University of California, Davis, will talk about his project investigating the complications of using direct comparisons between Phenomic Prediction accuracy and Genomic Prediction accuracy to evaluate whether Phenomic Prediction is useful for breeding and how such comparisons can give the misleading impression that Phenomic Prediction will increase rates of gain, even in cases when it will not. Then Dr. Fiona McCarthy, from the University of Arizona, will discuss her work with students to develop common genomics workflows and make them freely available to the agricultural research community in her talk, “Developing Bioinformatics Workflows to Support Agricultural Genomics.” Registration is required. For more information and to register for the meeting visit the field day website.
AG2PI Virtual Field Day: “Phenomic Prediction & Bioinformatic Workflows – AG2PI “Coconut” Grant Outcomes” on Mar. 20, 2024