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Simulation modeling (Paperback)
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Simulation modeling (Paperback)
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Climatic variation, continuously increasing population and market
infrastructure are driven forces to reduce agricultural
productivity and new management options and appropriate genotypes
are the need of the day to be considered for sustainable
production. Crop simulation models can be complementary tools in
field experiments to develop innovative crop management systems
under continuous varying climatic conditions. In this perspective,
two dynamic crop growth models viz., APSIM (Agricultural Production
System Simulator) and DSSAT (Decision Support System for Agro
Technology Transfer) were calibrated and validated to predict
growth and yield of wheat under rainfed conditions for Pothwar
region of Pakistan. Experiment was laid out in Randomized Complete
Block Design with five wheat varieties namely; Tatara, NARC-2009,
Sehar-2006, SKD-1 and F-Sarhad were planted by keeping individual
plot size of 5 m x 3 m with row spacing of 25 cm. Both the models
were parameterized using different agronomic parameters
(phenological development, days after sowing, drymatter
accumulation, leaf area index and grain yield) and climatic data.
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