Biometry in Agronomy Course
This course equips you with biometry skills for agronomy, focusing on designing corn hybrid by nitrogen field trials using RCBD, collecting reliable data, performing two-way ANOVA with blocking, checking assumptions, using nonparametric tests and LS-means, interpreting interactions, visualising outcomes, and creating tables. It covers realistic nitrogen application ranges, economic evaluations, risk assessments, and guidelines for data-driven fertiliser advice in farming.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain expertise in designing randomised complete block design trials for corn hybrids and nitrogen levels, gathering accurate field data, conducting two-way ANOVA analyses with blocking, validating assumptions, exploring nonparametric alternatives, computing LS-means, interpreting treatment interactions, producing insightful visualisations and tables, and applying economic and risk factors to deliver practical, evidence-based nitrogen recommendations for agronomic success.
Elevify advantages
Develop skills
- Design RCBD field trials for corn hybrid and nitrogen experiments.
- Clean and validate agronomic datasets by detecting outliers.
- Conduct ANOVA and post-hoc tests to analyse hybrid-nitrogen interactions.
- Translate statistical results into practical business recommendations with tables and plots.
- Verify statistical model assumptions and apply robust methods when needed.
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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