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
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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