We recently published a chapter entitled “The DSSAT crop modeling ecosystem” in the book “Advances in Crop Modeling for a Sustainable Agriculture.” This chapter provides a brief history of DSSAT, an overview of its functionality and applications, and up-to-date information on the status of the DSSAT Cropping System Model (CSM) and the DSSAT tools, utilities […]
This collection summarises key advances in crop modelling, with a focus on developing the next generation of crop and whole-farm models to improve decision making and support for farmers. Chapters in Part 1 review advances in modelling individual components of agricultural systems, such as plant responses to environmental conditions, crop growth stage prediction, nutrient and […]
There are 3 methods of dealing with soil layers in DSSAT, controlled by MESOL in simulation controls: MESOL = 1: old DSSAT method of forcing soil layer thicknesses to be 5, 10, 15, 15, 15, 30, 30, 30, 60, 60, 60 cm thick. Soil properties are blended when user input layers are forced to standard […]
The HarvestChoice Project at IFPRI, in collaboration with IRI at Columbia University and Michigan State University, published a working paper on the development of a new, global high-resolution soil profile database for DSSAT. The dataset is freely available at IFPRI’s Dataverse at http://dx.doi.org/10.7910/DVN/1PEEY0.
Through the collaboration with HarvestChoice, a team of scientists at the Universities of Georgia and Florida converted 3,404 soil profiles from the World Soil Information (ISRIC) WISE Global Soil Profile Database v1.1 to the DSSAT-compatible format. Beyond the specific locations, this large collection of soil profiles can be used by crop modeling researchers as a […]
February 9, 2012, marked 500th download of the WISE 1.1 Global Soil Profile Database in DSSAT format. To celebrate, we created a little Wordle using the users’ responses to our question on the intended use of the dataset.
Complex crop systems models require detailed soil property data that are not always available at regional-level and often blocks scaling up modeling studies. As an option, HarvestChoice presents a pragmatic approach that attempts to characterize any type of soil with a set of 27 generic soil profiles. This dataset, called HC27, may not replace the […]