Course Content
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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Design and Analysis of Agricultural Experiments
  • The concept of phenotypic plasticity and G×E interaction.
  • Stability analysis: Finlay-Wilkinson Regression.
  • Advanced visualization: AMMI (Additive Main Effects and Multiplicative Interaction) and GGE Biplots.