Biometry in Agronomy Course
This course teaches biometry techniques for agronomy, focusing on designing corn hybrid by nitrogen field trials using RCBD, cleaning data, performing two-way ANOVA with blocking, checking assumptions, using nonparametric tests and LS-means, interpreting interactions, visualizing results, and creating tables. It covers practical nitrogen ranges, economic criteria, risk assessment, and guidelines for data-driven recommendations to support profitable agribusiness decisions.

4 to 360h flexible workload
certificate valid in your country
What will I learn?
Learn to design randomized complete block design trials for corn hybrids and nitrogen rates, collect and clean field data, perform two-way ANOVA with blocking, check assumptions, apply nonparametric alternatives and LS-means, interpret treatment interactions, create visualizations and tables, and use realistic nitrogen ranges with economic and risk metrics for practical, evidence-based agronomic recommendations.
Elevify advantages
Develop skills
- Design RCBD field trials for corn hybrid and nitrogen experiments.
- Clean and validate agronomic datasets by detecting outliers.
- Conduct ANOVA and post-hoc tests to interpret hybrid-nitrogen interactions.
- Translate statistical results into business decisions with tables and plots.
- Verify model assumptions and apply robust methods for reliable analysis.
Suggested summary
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