SELECTION THEORY FOR QUANTITATIVE TRAITS IN PLANTS

Prerequisites & course information

Requisites: Graduate/professional standing Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Spring 2026 Learning Outcomes: 1. Apply the breeder’s equation to design and evaluate selection schemes Audience: Graduate 2. Explain Best Linear Unbiased Prediction (BLUP) and its application to selection Audience: Graduate 3. Analyze multi-environment trial data to make genomic predictions Audience: Graduate 4. Identify resource allocation tradeoffs and strategies for long-term genetic gain Audience: Graduate Learning Outcomes: 1. Apply the breeder’s equation to design and evaluate selection schemes Audience: Graduate 2. Explain Best Linear Unbiased Prediction (BLUP) and its application to selection Audience: Graduate 3. Analyze multi-environment trial data to make genomic predictions Audience: Graduate 4. Identify resource allocation tradeoffs and strategies for long-term genetic gain Audience: Graduate