Simulate Breeding Programs with AlphaSimR

Discover how to optimize genetic improvement in plant and animal agriculture by mastering the simulation of breeding programs. This course provides a foundational understanding of how to model and evaluate various breeding strategies using AlphaSimR, enabling you to predict outcomes and make informed decisions. What you'll learn: * Understand the core concepts of genetic breeding programs and their simulation principles. * Learn to set up and configure simulation environments using the AlphaSimR package in R. * Practice designing and implementing various breeding program scenarios from scratch. * Analyze and interpret simulation results to evaluate different genetic improvement strategies. * Apply foundational R scripting for efficient data preparation and simulation workflow automation. * Explore methods for comparing and optimizing alternative breeding pathways and their projected outcomes. The course begins with essential genetic principles and simulation theory, then guides you through practical exercises to build and analyze breeding models with AlphaSimR. You will read clear explanations and work through code snippets to gain practical experience. This course is designed for absolute beginners with no prior experience in genetic simulation or the AlphaSimR package. Start your journey into quantitative genetics and breeding program design today.