Biometry in Agronomy Course
This course teaches biometry techniques in agronomy, focusing on designing hybrid by nitrogen trials, cleaning field data, performing ANOVA with blocking, checking assumptions, using nonparametric methods and LS-means, interpreting interactions, visualizing results, creating tables, and applying economic and risk criteria for practical, data-driven nitrogen recommendations in agribusiness.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain skills in designing corn hybrid by nitrogen trials, collecting reliable field data, conducting two-way ANOVA with blocking, performing assumption checks and nonparametric analyses, computing LS-means, interpreting interactions, producing visualizations and tables, and using realistic nitrogen ranges with economic and risk metrics for confident field 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.
- Conduct ANOVA and post-hoc tests to interpret hybrid by nitrogen interactions for decisions.
- Translate 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.What our students say
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