Course Modules

Module 1: Introduction to GenStat and Data Management

• Overview of GenStat software and interface

• Importing and exporting data

• Understanding data types, structures, and formats

• Managing datasets and variables

• Practical Exercise: Setting up a dataset for crop trial data

Module 2: Descriptive Statistics

• Summary statistics: mean, median, standard deviation

• Frequency distributions and cross-tabulations

• Data visualization: histograms, boxplots, scatterplots

• Practical Exercise: Exploring a dataset from a field experiment

Module 3: Introduction to Experimental Design

• Principles of experimental design in agriculture

• Randomized Complete Block Design (RCBD)

• Factorial and split-plot designs

• Replication and randomization

• Practical Exercise: Designing a small RCBD experiment in GenStat

Module 4: Analysis of Variance (ANOVA)

• One-way and two-way ANOVA

• Checking assumptions of ANOVA

• Interpreting ANOVA tables and outputs

• Post-hoc tests for mean comparisons

• Practical Exercise: ANOVA on crop yield data

Module 5: Advanced Experimental Designs

• Latin Square and Graeco-Latin designs

• Split-plot and nested designs

• Blocking and covariates in field experiments

• Practical Exercise: Designing and analyzing split-plot experiments

Module 6: Regression and Correlation Analysis

• Simple and multiple regression

• Polynomial and non-linear regression

• Correlation and relationships between variables

• Practical Exercise: Regression analysis on fertilizer response data

Module 7: Analysis of Count and Categorical Data

• Chi-square tests

• Logistic regression for binary outcomes

• Poisson and negative binomial models for count data

• Practical Exercise: Analyzing pest incidence or disease data

Module 8: Mixed Models and Repeated Measures

• Introduction to mixed-effect models

• Random and fixed effects

• Analysis of repeated measurements

• Practical Exercise: Mixed model analysis on multi-year crop trials

Module 9: Data Visualization and Reporting

• Creating publication-quality graphs and charts

• Customizing plots and tables in GenStat

• Exporting outputs for reports and presentations

• Practical Exercise: Visualizing trial data for stakeholder reports

Module 10: Capstone Project and Reproducible Workflows

• Integrating all learned techniques into a full analysis

• Developing reproducible analysis scripts and templates

• Interpretation and presentation of results

• Capstone Exercise: Complete analysis of a field experiment dataset and presentation of findings