SAGI-STH Statistics Training Statistical Analysis of Agronomic Experiments

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.

For more information or to sign up for the training, visit the website. To directly be notified of future workshops through the Biometry Hub, sign up here.