CORN-CROPS: A PHYSIOLOGY-BASED SIMULATION OF THE CORN CROP
Abstract
New computer languages, designed especially for simulation, make it feasible for reseachers to develop simulation models with a minimum of training in computer programming. Using such a language, a model has been developed which estimated daily corn growth on the basis of physiological responses to changes in the environment. This model consists of a series of functions which describe the various physiology/environment interactions. A unique feature is that all functions are based upon simple graphs of data. The computer is given the x,y coordinate of a series of points on the graph. As weather information is read in, the computer then interpolates between points on the graph to determine the appropriate value. Rates of physiological processes are then used to predict dry weight changes for each part of the plant. Summaries of weights and growth rates can be printed out as often as desired. Nutrient supplies, water relations, soil factors, and hybrid characteristics may all be included in the model. If a relationship is found to be inaccurate in a given situation, it may be changed by simply changing the single data card for the given graph. This is a major advantage for the user who has a limited background in computer programming. It also provides great flexibility for making adjustments and improvements in the model. One of the most important uses of such a model is in identifying areas needing further research. Hypotheses may be tested by inserting appropriate functional relationships and running the simulation. Another use is in estimating final yield at any point in the growing season using weather data to date and estimates of weather for the remainder of the season. No computer simulation can be 100% accurate in predicting crop growth. But this model represents the best attempt to date to incorporate a wider range of factors into a relatively simple program that is easily modified to include new information. With corresponding advancements being made in weather data collection, computer simulation is becoming a very important tool in crop production research.
Degree
Ph.D.
Subject Area
Agronomy
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