Biometry in Agronomy Course
This course teaches biometry techniques in agronomy to transform data from hybrid-nitrogen trials into actionable agribusiness decisions. Participants learn trial design, data cleaning, ANOVA analysis, treatment comparisons, and conversion of yield and risk metrics into profitable field recommendations, ensuring confident, data-driven nitrogen strategies.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
Gain skills in designing corn hybrid-nitrogen field trials using RCBD, collecting and cleaning reliable data, conducting two-way ANOVA with blocking, performing assumption checks and nonparametric alternatives, using LS-means for comparisons, interpreting interactions, creating visualisations and tables, and applying economic criteria, risk assessment, and practical guidelines for data-backed recommendations.
Elevify advantages
Develop skills
- Design RCBD field trials for corn hybrid and nitrogen experiments with proper planning.
- Clean agronomic datasets by validating data, detecting outliers, and preparing for analysis.
- Perform ANOVA and post-hoc tests to interpret hybrid-nitrogen interactions for decisions.
- Convert statistical results into business insights with tables, plots, and ROI-focused nitrogen advice.
- Verify model assumptions, diagnose issues, and apply robust methods for reliable outcomes.
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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