Premium
Parameterized Model of Gramineous Crop Growth: II. Within‐Season Simulation Calibration
Author(s) -
Maas Stephan J.
Publication year - 1993
Publication title -
agronomy journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.752
H-Index - 131
eISSN - 1435-0645
pISSN - 0002-1962
DOI - 10.2134/agronj1993.00021962008500020035x
Subject(s) - parameterized complexity , sorghum , calibration , crop , simulation modeling , mathematics , growing season , biological system , set (abstract data type) , environmental science , agronomy , soil science , agricultural engineering , computer science , statistics , algorithm , biology , engineering , mathematical economics , programming language
The accuracy of parameterized crop growth models is dependent on obtaining the proper parameter values that control the response of the model to environmental conditions. In this study, a method is described for objectively evaluating model parameters based on observations of crop growth obtained during the growing season. An iterative numerical procedure is used to systematically manipulate the values of selected parameters and initial conditions until the model simulation matches the observations of growth. Examples involving a previously‐developed growth model indicate that reasonably accurate simulations can be made for three gramineous crops (grain sorghum, corn, and spring wheat) by calibrating a set of parameters and initial conditions that affect leaf area appearance and senescence. It is proposed that the effectiveness of this procedure in using infrequent growth observations and the ability to obtain these observations using nondestructive measurement techniques make this modelling procedure feasible for use in practical agricultural applications.