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Biometry in Agronomy Course

Biometry in Agronomy Course
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.
Workload: between 4 and 360 hours

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