agricultural biometrics course
Master agricultural biometrics to transform field trial data into solid decisions. Learn experimental design, mixed models, diagnostics, and yield prediction to improve varieties, nitrogen use, and locations for better, data-driven farming practices. This course equips you with practical tools for stronger agronomy outcomes across multiple sites.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain key biometrics skills for designing, analysing, and interpreting multi-location field trials confidently. This short course teaches experimental design, linear and mixed models, hypothesis testing, multiple comparisons, diagnostics, and robust methods. Learn data cleaning, managing missing or unbalanced trials, evaluating prediction and stability, and creating clear, reproducible reports and visuals for smart, data-based choices.
Elevify advantages
Develop skills
- Design multi-location field trials using RCBD and factorial layouts quickly.
- Analyse G×E interactions with linear mixed models to understand variety and environment effects.
- Conduct robust ANOVA and multiple comparisons like Tukey, Dunnett, and LSD effectively.
- Diagnose model assumptions through residual checks, transformations, and solutions.
- Convert biometrics results into practical decisions with yield predictions and clear 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 workloadWhat our students say
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