Articles
MODELING AND VALIDATING COTTON LEAF AREA DEVELOPMENT AND STEM ELONGATION
Article number
593_25
Pages
193 – 199
Language
English
Abstract
The demand for mechanistic crop simulation models has increased in recent years due to an explosion of site-specific management techniques.
Realistic crop models that encompass current knowledge and integrate crop responses to a range of environmental factors can provide opportunities to optimize crop management practices.
The cotton simulation model, GOSSYM, is one of the most successful models used in cotton management.
It is being continuously updated as new knowledge becomes available.
Recently, new stem extension and leaf area expansion subroutines were developed and incorporated into the model.
Potential stem and leaf area growth rates were calculated as functions of temperature.
Actual stem and leaf growth rates were simulated using an environmental productivity index concept for several environmental conditions such as water and nitrogen stresses and mepiquat chloride (MC or PIX), a plant growth regulator used to regulate cotton vegetative growth in cotton, particularly stem growth and leaf area development.
The modified model was validated for its accuracy from data sets collected across several cotton growing areas.
The new model with the leaf and stem growth algorithms showed an improvement in estimating plant height and node count over the previous version of the model by 52% for plant height, 55% for mainstem nodes and 13% for lint yield.
Realistic crop models that encompass current knowledge and integrate crop responses to a range of environmental factors can provide opportunities to optimize crop management practices.
The cotton simulation model, GOSSYM, is one of the most successful models used in cotton management.
It is being continuously updated as new knowledge becomes available.
Recently, new stem extension and leaf area expansion subroutines were developed and incorporated into the model.
Potential stem and leaf area growth rates were calculated as functions of temperature.
Actual stem and leaf growth rates were simulated using an environmental productivity index concept for several environmental conditions such as water and nitrogen stresses and mepiquat chloride (MC or PIX), a plant growth regulator used to regulate cotton vegetative growth in cotton, particularly stem growth and leaf area development.
The modified model was validated for its accuracy from data sets collected across several cotton growing areas.
The new model with the leaf and stem growth algorithms showed an improvement in estimating plant height and node count over the previous version of the model by 52% for plant height, 55% for mainstem nodes and 13% for lint yield.
Authors
K.R. Reddy, M.L. Boone
Keywords
GOSSYM, simulation, model, Gossipium hirsutum
Online Articles (31)