Linear and generalized linear models have been widely used in agronomic research. These statistical tools play a key role in analyzing field trials and breeding experiments. The objective of this course is to introduce fundamental theory of linear models. Several important topics, including parameter estimation and hypothesis testing, will be detailed. Linear mixed models and generalized linear models will also be introduced to analyze more complicated data. In addition, R programs will be provided to implement these analysis procedures. After successfully completing this course, students will be able to address real-world research questions using linear statistical models.