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Biometry in Agronomy Course

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

What will I learn?

This course teaches designing corn hybrid by nitrogen trials, gathering reliable field data, and performing robust two-way ANOVA with blocking. You will cover assumption testing, nonparametric alternatives, LS-means, interpreting interactions, visualising findings, and creating effective tables. Conclude with practical nitrogen levels, economic evaluations, risk assessments, and guidelines for data-driven recommendations 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, spotting outliers, and preparing for analysis.
  • Conduct ANOVA and post-hoc tests to interpret hybrid by nitrogen effects for better decisions.
  • Convert statistical results into business insights with clear tables, plots, and ROI-focused nitrogen advice.
  • Verify model assumptions, diagnose issues, and apply robust methods for trustworthy 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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