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Biometry in Agronomy Course

Biometry in Agronomy Course
4 to 360 hours flexible workload
valid certificate in your country

What will I learn?

This course teaches designing corn hybrid × nitrogen trials, collecting reliable field data, and performing robust two-way ANOVA with blocking. You will master assumption checks, nonparametric alternatives, and LS-means, then learn to interpret interactions, visualise results, and create clear tables. Conclude with practical nitrogen ranges, economic criteria, risk assessments, and guidelines for confident, data-driven recommendations in agronomy.

Elevify advantages

Develop skills

  • Design RCBD field trials: plan corn hybrid × nitrogen experiments with rigour.
  • Clean agronomic datasets: validate, detect outliers, and prepare data for analysis.
  • Run ANOVA and post-hoc tests: interpret hybrid × nitrogen effects for decisions.
  • Translate stats to business: build clear tables, plots, and ROI-based N advice.
  • Check model assumptions: diagnose, fix, or use robust methods for reliable results.

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.
Workload: between 4 and 360 hours

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