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CASE II - Crop Yield and Salinization

Two crop growth simulation models, the CropSyst (Australian) and the PS123 (Dutch) were applied. Crop yield depends on many factors such as climate, soil, crop, and management. Therefore, a suitable model, which include all these factors need to be applied. CropSyst is the model that considers solute movement on all the stages of growth in yield assessment. The model has been applied on several agricultural practices assessment successfully under different climatic conditions in different parts of the world (Bellocchi G.1, 2002; FAO, 1995; Stockle et al., 2003). The PS123 was also used to simulate growth of crops with associated process that might influence the crop growth such as water (limitation) and solute movements in soil. In other words, the model (a biophysical crop growth simulation) predicts yields under several production levels based on basic plant physiology and soil process.

Objective : To model salinity affects in relation with fertility parameters and crop yield in the both feature- and geographic- spaces, by applying relevant simulation and GIS-oriented models to track down the crop growth in order to predict the yield under various degrees of salinity influence.
References
Yadav, R.D., Modeling salinity affects in relation to soil fertility and crop yield : a case study of Nakhon Ratchasima, Nong Suang district, Thailand. 2005, Unpublished MSc thesis, ITC: Enschede. p. 150.
Bellocchi G.1, S.N., Mazzoncini M. 2, Menin S 3., Using the CropSyst Model in Continuous Rainfed Maize (Zea mais L.) under Alternative Management Options. 2002.
Stockle, C.O., Donatelli M., and Nelson R., CropSyst, a cropping systems simulation model. European Journal of Agronomy, 2003. 18(3-4): p. 289-307.
Development of Methodologies for
Land Degradation Assessment Applied to
Land Use Planning in Thailand
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