- Distinguishing between Fixed and Random effects.
- Why Mixed Models are replacing traditional ANOVA in modern agricultural science.
- Handling missing data and unbalanced designs in multi-year trials.
Session 1. Data Wrangling
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Session 2. Visualization with ggplot2
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Session 3. Experimental Designs: CRD, RCBD, Alpha Lattice and Split plot
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Session 4. Modern Modeling: Linear Mixed Models (LMM)
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Session 5. Genotype × Environment (G×E) Interaction and Stability
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Session 6. Capstone: Experimental Design & Analysis
Participants present a complete design and analysis workflow for a specific agricultural problem.
Troubleshooting "messy" real-world datasets.
Final review and feedback on experimental protocols.
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