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SAGI-STH Statistics Training Statistical Analysis of Agronomic Experiments
Feb 24, 9:00 am - 5:00 pm
Statistical Analysis of Agronomic Experiments (W2) – 2 days
- Covers the basic topics in experimental analysis of agronomic experiments, including ANOVA, Linear Mixed Models, spatial modelling and analysis of factorial experiments, blocked designs, and split-plot agronomic experiments.
- You will learn to identify the correct model to use and perform analyses of data resulting from standard agronomic designs using R and ASReml-R and interpret the results.
SAGI-STH provides statistical workshops for agronomists and researchers – these are practical, interactive workshops intended to foster widespread adoption of efficient and consistent statistical methods in agronomic research and practice to ultimately better inform growers decision-making.
The training program uses a small-group delivery. This builds learning communities by allowing a close communication between participants and trainers. Please be mindful this is a 2-day course, on February 24 and February 28.