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Biometry in Agronomy Course

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

What will I learn?

This course teaches designing corn hybrid by nitrogen field trials, collecting reliable data, performing two-way ANOVA with blocking, checking assumptions, using nonparametric methods and LS-means, interpreting interactions, visualising results, creating tables, and applying nitrogen ranges with economic and risk analysis for practical, data-driven advice in agronomy.

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.
  • Conduct ANOVA and post-hoc tests to interpret hybrid by nitrogen effects for decisions.
  • Translate statistical results into business insights with tables, plots, and ROI-based nitrogen advice.
  • Verify model assumptions, diagnose issues, and apply robust methods for reliable outcomes.

Suggested summary

Before starting, you can change the chapters and 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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