MOIAI Short Course

July 7-11, 2025 Gainesville FL

MOIAI Short Course Registration

3rd Multi-Omic Integration for AI Genomic Prediction Breeding Short Course

Overview

This course is intended for research scientists from the private sector and public institutions interested in learning the foundations of different prediction frameworks considering the integration of multiple omics of information (or layers) with applications in plant and animal breeding. The course demonstrates the development and utilization of prediction models in plant and animal breeding programs and how to implement these at different stages of the breeding pipeline. The focus of the course is to facilitate to attendees the foundations of the different paradigms (parametric, non-parametric AI) in which these implementations are based. Participants will learn the basis for modeling trait performance of genotypes assisted by the integration of multiple data types ‘omics’ considering different approaches (parametric, non-parametric/Artificial Intelligence (AI), AI crop growth models, etc.)

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Short Course Topics

Some of the most relevant and novel topics of interest for the private industry and research institutions were covered such as:

Genomic Selection GS aided by Genomic Prediction GP models
Artificial Intelligence Methods Implemented for GP
GP aided by high-throughput phenotyping platforms
Multi-Omics Integration for Continuous and Categorical Data
Estimation and Prediction of Genotype-by-Environment (G×E) Interactions
Multi-Trait Prediction
Sparse Testing Designs
GPU Acceleration
Crop Growth Models (CGM) for Integrating the Genotype-by-Environment-by-Management (G×E×M) Interaction in Whole Genome Prediction (WGP
Training testing optimization
Strategies to deal with large data sets

In addition, attendees learned about the experiences and vision of implementing genomic selection (GS) approaches in different crop species (fruits, forages, grains, etc.) from world known experts in the field.