Biometry in Agronomy Course
This course equips you with biometrical skills for agronomy, focusing on designing randomised complete block trials for corn hybrids and nitrogen rates. You will learn to gather reliable field data, perform ANOVA analyses including checks for assumptions and alternatives, interpret treatment interactions via LS-means, and produce visualisations and tables. Conclude by evaluating realistic nitrogen levels using economic and risk measures to deliver practical, data-driven fertiliser recommendations for better farm profitability.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain expertise in planning corn hybrid by nitrogen field experiments using RCBD designs, collecting accurate data, and executing two-way ANOVA with blocking. Master assumption testing, nonparametric alternatives, LS-means comparisons, interaction analysis, result visualisation, and table preparation. Apply economic evaluations, risk assessments, and guidelines for nitrogen recommendations grounded in trial outcomes.
Elevify advantages
Develop skills
- Design RCBD field trials for corn hybrid and nitrogen experiments with proper blocking.
- Clean and validate agronomic field data by detecting outliers and ensuring quality.
- Conduct two-way ANOVA with blocking and post-hoc tests to analyse hybrid-nitrogen interactions.
- Visualise results with plots, create clear tables, and link stats to economic nitrogen advice.
- Verify ANOVA assumptions, apply fixes or nonparametric 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.What our students say
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