Abstract
Soil nutrient management with efficient fertilizer use has an important role on maximizing yield and environmental effects. In this study game theory is applied to identify the nutrient proportion for corn production in Kooshkak in Fars province, Iran, in 2008-2009. Cost of fertilizer combinations and production of corn are the players of the game. A goal programming was applied to obtain the optimum fertilizer combination and then these combinations were used as payoffs of the game analysis. Based on the maxi-min criteria, the fertilizer combination of 395.07 kg/ha, was found as game solution, including 395.30kg/ha of nitrogen, 195.60 kg/ha of Super Phosphate and the mentioned combination of fertilizers contains 1050000 rials/ha and the yield is 102000 kg/ha.
Keywords: Game theory, Soil nutrient, Goal programming, Corn
Fathi, F., & Bakhshoode, M. (2011). Game Theory Approach to Soil Nutrient Management for Corn Planning in Kooshkak in Fars Province. Journal of Agricultural Economics and Development, 24(4), -. doi: 10.22067/jead2.v1389i4.8198
MLA
F. Fathi; M. Bakhshoode. "Game Theory Approach to Soil Nutrient Management for Corn Planning in Kooshkak in Fars Province". Journal of Agricultural Economics and Development, 24, 4, 2011, -. doi: 10.22067/jead2.v1389i4.8198
HARVARD
Fathi, F., Bakhshoode, M. (2011). 'Game Theory Approach to Soil Nutrient Management for Corn Planning in Kooshkak in Fars Province', Journal of Agricultural Economics and Development, 24(4), pp. -. doi: 10.22067/jead2.v1389i4.8198
VANCOUVER
Fathi, F., Bakhshoode, M. Game Theory Approach to Soil Nutrient Management for Corn Planning in Kooshkak in Fars Province. Journal of Agricultural Economics and Development, 2011; 24(4): -. doi: 10.22067/jead2.v1389i4.8198
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