agricultural biometrics course
Master agricultural biometrics to transform field trial data into solid decisions. Learn experimental design, mixed models, diagnostics, and yield prediction to optimise crop varieties, nitrogen use, and locations for better, data-driven farming practices. Boost your agronomy with practical stats tools for real-world trials and reliable insights.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain key biometrics skills to confidently design, analyse, and interpret multi-location field trials. This focused course teaches experimental design, linear and mixed models, hypothesis testing, multiple comparisons, diagnostics, and robust methods. Master data cleaning, managing missing or unbalanced trials, evaluating prediction and stability, and creating clear, reproducible reports and visuals for smart, data-backed choices.
Elevify advantages
Develop skills
- Design multi-location field trials using RCBD and factorial layouts efficiently.
- Analyse genotype-by-environment interactions with linear mixed models and interpret variety-environment effects.
- Conduct robust ANOVA and multiple comparisons like Tukey, Dunnett, and LSD in real scenarios.
- Diagnose model assumptions through residual checks, data transformations, and solutions.
- Convert biometrics analysis into actionable decisions with yield predictions and clear agronomy reports.
Suggested summary
Before starting, you can change the chapters and 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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