Agricultural biometrics course
This course teaches agricultural biometrics to transform field trial data into actionable insights. Participants master experimental design, mixed models, diagnostics, and yield prediction to optimize crop varieties, nitrogen use, and site selection for improved, evidence-based farming practices. It equips learners with tools for precise analysis of genotype-by-environment interactions and reliable statistical reporting.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain key biometrics skills to confidently design, analyze, and interpret multi-location field trials. The course covers experimental design, linear and mixed models, hypothesis testing, multiple comparisons, diagnostics, and robust methods. You will learn data cleaning, managing missing or unbalanced trials, evaluating prediction and stability, and creating reproducible reports and visuals for data-driven farming decisions.
Elevify advantages
Develop skills
- Design multi-location field trials using RCBD and factorial designs efficiently.
- Analyze genotype-by-environment interactions with linear mixed models and interpret results.
- Perform robust ANOVA and multiple comparisons including Tukey, Dunnett, and LSD methods.
- Diagnose model assumptions through residual analysis, data transformations, and corrections.
- Convert biometric analyses 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 workload.What our students say
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