Title: WOFOST (WOrld FOod STudies): A simulation model for quantitative analysis of growth and production of annual field crops
By CGIAR Platform for Big Data in Agriculture
Date: 2 April 2020
Time: 10:00 AM CEST (UTC + 2:00)
WOFOST is a simulation model for the quantitative analysis of the growth and production of annual field crops. It is a mechanistic, dynamic model that explains daily crop growth on the basis of the underlying processes, such as phenological development, CO2-assimilation, transpiration, respiration, partitioning of assimilates to the various organs, and dry matter formation and how these processes are influenced by environmental conditions. With WOFOST, users can calculate potential and attainable crop production, leaf area, water use, etc. for a location given knowledge about soil, crop, weather and crop management (e.g. sowing date).
As an open source model, WOFOST has been used by many researchers over the world and has been applied for many crops over a large range of climatic and management conditions. It is one of the key components of the European MARS crop yield forecasting system. In the Global Yield Gap Atlas (GYGA) WOFOST is used to estimate the untapped crop production potential on existing farmland based on current climate and available soil and water resources.
In this webinar, organized by the Crop Modeling Community of Practice, a panel of WOFOST experts formed by Allard de Wit and Hendrik Boogaard will introduce WOFOST, explain the basic principles and show some applications including a hands-on training by means of Jupyter Notebooks. After their presentation, webinar attendees will have the opportunity to ask any WOFOST-related questions.
To learn more about the webinar, or to submit questions, click here.