Crop management and input optimization with GLYCIM: differing cultivars

The soybean simulation model GLYCIM is mechanistic and operates at the physical and physiological process level. The model is organized in modules along disciplinary lines using a generic modular structure. The model was initially validated with data sets collected at the Plant Science Farm at Missi...

Full description

Saved in:
Bibliographic Details
Published in:Computers and electronics in agriculture 1995-08, Vol.13 (1), p.37-50
Main Authors: Reddy, V.R., Acock, B., Whisler, F.D.
Format: Article
Language:English
Subjects:
Agronomy. Soil science and plant productions
Biological and medical sciences
CONDUITE DE LA CULTURE
CROP MANAGEMENT
CROP YIELD
Fundamental and applied biological sciences. Psychology
Genetics and breeding of economic plants
GLYCIM soybean simulation model
GLYCINE MAX
MANEJO DEL CULTIVO
MODELE DE SIMULATION
MODELOS DE SIMULACION
RENDEMENT DES CULTURES
RENDIMIENTO DE CULTIVOS
SIMULATION MODELS
Soybeans
Varietal selection. Specialized plant breeding, plant breeding aims
Yield, quality, earliness, varia
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The soybean simulation model GLYCIM is mechanistic and operates at the physical and physiological process level. The model is organized in modules along disciplinary lines using a generic modular structure. The model was initially validated with data sets collected at the Plant Science Farm at Mississippi State University and calibrated to the cultivar “Forest”. In 1991 GLYCIM was released to soybean farmers and scientists at state experimental stations for crop management and input optimization. The soybean growers have claimed a 14–29% increase in yields and over a 400% increase in irrigation efficiency from using CLYCIM to manage irrigation. During the past two years, significant changes to GLYCIM have improved its predictions. Model improvements pertain to the effect of water stress on several physiological processes in the soybean plant and the method of accounting for numbers and weights of individual pods and seeds. In addition, cultivar parameter files have been developed for several cultivars. As a result of these changes, improved simulations have been obtained and grower usage of the model has been enhanced. The development of cultivar parameter files and the resulting simulations are discussed.
ISSN:0168-1699
1872-7107
DOI:10.1016/0168-1699(95)00013-T