DSSAT training in Chiang Mai, 2018

Training on DSSAT and MWCropDSS in Chiang Mai, using crop simulation models and GIS to study water and nitrogen use under changing weather and climate

Last month, I attended training on DSSAT and MWCropDSS: Efficient and precision agricultural resource utilization under changes with simulation models and GIS in Chiang Mai, Thailand from 27 Aug to 1 Sep. The goal of the trainings is to gain better understanding of simulation models in predicting relationships of agricultural resources, i.e., water and nitrogen under various weather and climate conditions, on crop phenology and growth.

There are 24 participants from Bhutan, China, Indonesia, Japan, Nepal and Thailand. And the trainer are Prof. Gerrit Hoogenboom from University of Florida, USA and Prof. Attachai Jintrawet from Chiang Mai University.

Here’s some topic I learned during the training.

1st day

1. History and overview of DSSSAT
2. Exercises: Running Crop Models
3. Simulating phenological development
4. Sensitivity analysis tool
5. Exercises: Sensitivity Analysis Tools
6. Creating FileX: Potential crop production
7. Exercises: Potential Crop Production

2nd day

1. Simulating basic growth processes
2. Weather data input and utilities
3. Exercises: Weather Data Files
4. Minimum dataset concept
5. Learning the DSSAT file system
6. Concept of genetic coefficients species vs ecotype vs cultivar coefficients
7. Genetic coefficients - CROPGRO and CERES
8. Exercises: Cultivar Sensitivity Analyses
9. Estimatic genetic coefficient, concepts

3rd day

1. Estimating Genetic Coefficients, Concepts Tools for Estimating Cultivar Coefficients
2. Cultivar Coefficient Calibration using the Glue Tool
3. Simulating Water Limited Production Soil and Flood Water Balance in Rice
4. Soil Data Inputs and Utilities
5. Exercises: Soil Data Files
6. Creating FileX: Water Balance On
7. Exercises: Water Limited Production

4th day

1. Experimental Data Collection - Model Evaluation
2. Experimental Data Files and Utilities
3. Exercises: Experimental Data Files
4. Simulating Nitrogen Limited Production Processes in the Soil
5. Simulating Nitrogen Limited Production Processes in the Plant
6. Creating FileX: Water and N Balance On
7. Exercises: Nitrogen Limited Production

5th day

1. Spatial Modeling Applications Demonstration: MWCropDSS
2. Uncertainty, Risk, BMPs, and Sustainability
3. Creating FileX: Seasonal Analysis
4. Exercises: Seasonal Analysis

6th day

1. Cropping Systems – Simulating Crop Rotations
2. Creating FileX: Rotation/Sequence Analysis
3. Group Discussion of Applications and Needs

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