Module 34: Formulation de recommandations à partir de données agronomiques – Partie 1
(Formulation of recommendations based on agronomic data- Part 1 in French)
This training module is the part I of the “Formulation of recommendations based on agronomic data”. This module contains a video recording of the training session, PDF slides, references, and an exercise zip file. The training took place on May 24, 2023. All the participants are encouraged to complete all exercises after watching the first part of the training.
The main topics covered in this training session include:
- How to make recommendations that farmers will adopt?
- What kind of data needs to be collected as part of the agronomic trials?
- How to calculate net benefits by treatment?
- How to screen out inferior treatments?
- How to identify the recommended treatment?
- How to take the variability of treatment impacts into account?
Contributors:
Eric Crawford (MSU), Veronique Theriault (MSU), Nicole Mason-Wardell (MSU), Yeyoung Lee (MSU)