agricultural biometrics course
Develop proficiency in agricultural biometrics to transform field trial data into actionable insights. This course teaches experimental design, mixed models, diagnostics, and yield prediction, empowering you to optimize crop varieties, nitrogen use, and site selection for enhanced, evidence-based agronomy practices. Ideal for professionals seeking practical statistical tools to improve farming outcomes through reliable data analysis.

4 to 360h flexible workload
certificate valid in your country
What will I learn?
Gain key biometrics expertise to confidently design, analyze, and interpret multi-site field trials. This focused course explores experimental design, linear and mixed models, hypothesis testing, multiple comparisons, diagnostics, and robust techniques. Master data cleaning, managing missing or unbalanced data, evaluating predictions and stability, and creating reproducible reports and visuals for data-informed decisions in agriculture.
Elevify advantages
Develop skills
- Design multi-site field trials using RCBD and factorial designs efficiently.
- Analyze genotype-by-environment interactions via linear mixed models and interpret results.
- Conduct robust ANOVA with multiple comparisons like Tukey, Dunnett, and LSD.
- Diagnose models through residual analysis, data transformations, and corrections.
- Convert biometric analyses into practical decisions with yield predictions and reports.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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