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<br />-12 <br /> <br />~!~ <br />~!:~~~::~i <br />-"-~ ....? <br />\j~~"~ <br /> <br />II <br /> <br />0n2933 <br /> <br />by the Soil Conservation Service. The total cost of production pe~ acre <br /> <br /> <br />of a crop within an SRG and an LRG was computed from the~ecost components <br /> <br /> <br />by the computerized matrix generator of the GAPAS subsystem. Production <br /> <br /> <br />cost estimates include. the cost of operating irrigation equipment and <br /> <br /> <br />maintaining drainage structures for the appropriate crops and soils. Pre- <br /> <br /> <br />harvest costs include costs for labor, machinery, and materials, and <br /> <br />variable harvesting costs contain both labor and non-labor.cOsts. Not <br /> <br />included .in the cost because of the inability to obtain.adequate. data'are <br />land costs, water costs, and transportation costs. <br />Although I've only glossed over the basic input.subsystems, I will <br />now discuss the regional projection section of the NlRAP System. This sec- <br />tion includes a Livestock Projection subsystem and several projection tech-. <br />niques which are in summary called the Generalized Agricultural Production <br />Analytical System. Within this framework livestock was treated independently <br />and outside the GAPAS system; basically the projected national requirements <br />are disaggregated to the LRG level, based on an extrapolation of historical <br /> <br />shares. Fruits and vegetables and several other minor crops were also handled <br /> <br />by a similar disaggregation technique. The major crops, such as corn,rice, <br /> <br />wheat, potatoes, ~nd grain sorghum, were projected and distributed at the <br />regional level with the assistance of a linear programming model which esti- <br />mated likely production patterns and identified areas of comparative advantage. <br />Normally, a l~near programming model is used to minimize cost or.maximize <br />profit of a set of activities within specified limits. Our objective in using <br />the L.P. model is to assist in locating production of major crops in minimum <br /> <br />cost areas within the constraints of the defined land base and the national <br /> <br />requirements for crop production. The linear programming technique as it is <br /> <br />;;"', <br /> <br />I <br /> <br /> <br />~.~,' :.=-,":.-. <br /> <br />!~!~i[~ <br />~~t~~ <br />-~"~~_t~.~~fllr~~~&{*,~~1 <br />