Statistical Design and Analysis for Plant Breeding Using R
This course provides researchers with the knowledge and skills to be able to design and analyze breeding trial data and estimate breeding values. Through a combination of lecture, group exercises, and hands-on activities in R, participants will learn about designs that are especially useful in plant breeding, analysis methods and techniques for single and multi-trial analysis, and breeding value estimation. This course is intended for anyone who analyzes or interprets plant breeding data. The knowledge gained in this course is essential for understanding even more advanced methods such as genomic selection.
- Learn how to identify the most appropriate experimental designs for different plant breeding trials and how these designs are created in R
- Understand the methods used for analyzing single and multi-trial analysis, how these methods are conducted and how to interpret the results
- Learn how to analyze line performance and environment similarity using biplots
- Understand breeding values and their estimation
- Gain experience analyzing plant breeding
- Introduction to quantitative genetics
- Experimental designs commonly used in agricultural experiments
- Analysis of single-environment trials
- Analysis of multi-environment trials
- Introduction to biplots
- Breeding value estimation
- BIOM 203: R Programming and
- Either BIOM 101: Introduction to Statistics and Design of Experiments or BIOM 204: Statistical Design and Analysis of Agricultural Experiments using R or equivalent
- Applicants will be notified thru email if they are accepted or not.
- Participants must bring their own laptop with Windows Operating System.