Articles
A PHYSIOLOGICAL BASED MODEL FOR PROCESSING TOMATOES: CROP AND PEST MANAGEMENT
Article number
200_11
Pages
125 – 132
Language
Abstract
A physiologically based model has been developed for use in addressing crop and pest management decisions in processing tomatoes.
TOMSIM is initialized with planting date, seedling rate, initial soil moisture, organic matter, and nitrogen status.
A daily time step is used throughout the model, except in calculating photosynthesis, water and nitrogen uptake, where daily maximum and minimum temperatures, and solar radiation are converted to hourly canopy or soil values.
The crop model and two currently developed pest models (tomato fruitworm and beet armyworm) use a time varying distributed delay framework enabling the incorporation of developmental variability.
From a crop and pest management perspective, relevant output includes numbers of buds, flowers, different ages of fruit, cumulative yield, and crop maturation through time.
Preliminary validation runs of TOMSIM indicate potential for use in optimizing decisions dealing with timing (and rates) of irrigation, fertilization (nitrogen), and fruitworm and beet armyworm control decisions.
TOMSIM is initialized with planting date, seedling rate, initial soil moisture, organic matter, and nitrogen status.
A daily time step is used throughout the model, except in calculating photosynthesis, water and nitrogen uptake, where daily maximum and minimum temperatures, and solar radiation are converted to hourly canopy or soil values.
The crop model and two currently developed pest models (tomato fruitworm and beet armyworm) use a time varying distributed delay framework enabling the incorporation of developmental variability.
From a crop and pest management perspective, relevant output includes numbers of buds, flowers, different ages of fruit, cumulative yield, and crop maturation through time.
Preliminary validation runs of TOMSIM indicate potential for use in optimizing decisions dealing with timing (and rates) of irrigation, fertilization (nitrogen), and fruitworm and beet armyworm control decisions.
Authors
L.T. Wilson, R. Tennyson, A.P. Gutierrez, F.G. Zalom
Keywords
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