Applications of Decision Support System: A Case Study of Solanaceous Vegetables |
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Authors: | Muhammad Saqib Muhammad Akbar Anjum |
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Institution: | Department of Horticulture, Faculty of Agricultural Sciences and Technology, Bahauddin Zakariya University, Multan, 60800, Pakistan |
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Abstract: | Crop simulation models constitute the major proportion in decision
support systems. A large number of crop models have been developed for potato
and few for tomato and peppers. In the literature, thirty three crop models have
been reported to simulate potato, nine for tomato and six for peppers. Some of
these models dealt with the climate change scenario and others with the crop management practices such as sowing time, irrigation, nitrogen, and insect-pests management. The most evaluated and applied models for potato include; SUBSTOR,
and LINTUL-Potato, whereas CROPGRO-tomato model is the most tested and
applied for tomato. The AQUACROP is the most widely used model to simulate
the water dynamics. The CROPGRO model has been tested for elevated temperatures and CO2 under greenhouse conditions for tomato. In tomato and peppers,
almost similar models have been applied for field conditions as well as under
greenhouse environments with some modifications. Nitrogen dynamics has been
widely tested by employing the EU-Rotate-N model for tomato and peppers.
Simulation studies dealing with changing climate conditions are rare in potato
and are not found for tomato and peppers. To modify potato, tomato and peppers
models for climate impact studies, it is required that they are (a) calibrated and
evaluated with new cultivars under various agro-environmental conditions and
(b) assessed under varying field conditions under changing climates and crop
management practices, including temperature increases, water and nutrient management and their interactions. These comprehensive model studies and modifications need a collaborative international effort and a multi-year, large scale field
research studies on potato, tomato and peppers. |
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Keywords: | Crop growth models management issues simulation modeling Solanaceae |
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