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<br />Model <br />part 1 <br /> <br />Wheat <br />libu/ac <br /> <br />liSlac <br /> <br />10 <br /> <br />The development of the model is undertaken in two segmcnts. In part <br />one, information concerning specific crops are entered into the system as <br />independent variables. These clements include a statement of crop type and <br />noting whether it is raised under irrigation or dry land technology. The <br />number of acres harvested under each crop type and the attendant yield of <br />that crop arc the next items recorded. For each irrigated crop, there is an <br />estimate of the average unit amount of water required to raise it. Finally, <br />each crop has its price listed. <br />The county is the basic unit upon which the analysis is built. Most data <br />already exists in this format. If they do not, congruity demands they must <br />be converted. Explicit provision is not made for dealing with fractions of <br />counties. If it is necessary to discriminate more fmely, manipulation of the <br />information being inserted into the model will accommodate the problem. <br />The designation cOlmty docs not rC'luire interpretation as a political sub. <br />division. It may be any convenient boundary where the data are compatible. <br />The flexibility of the model is sufficient to handle as many crops as are <br />desirabl~ and all the counties in the state. For practical purposcs, the general <br />availability of information is inadcquate to provide data for morc than three <br />or four of the major crojJS. If the data are available, it is possible to accom. <br />modatc 99 different crop types and 105 counties. Regional solutions can be <br />found by combining the appropriate counties. <br />The operations begin by detcrmining the difference in yields between irri- <br />gated and dryland crops by specific crop. Wheat is assumed to be a universal <br />crop in Kansas and is always the first crop analyzed in each county. Areas of <br />the state, where dry land technology commonly requires fallowing the flclds <br />between successive crops, are designated as dry areas. Counties, where fallow <br />field farming techniques arc not dominant, are designated as moist counties. <br />As you would imagine, this causes the state to be viewed as having an east <br />and west sector for each crop (see figure I). This form is required to accu- <br />rately calculate the yield differential between an irrigated and dryland crop <br />of the same type. Counties denoted as dry, have theit dryland yields allo. <br />cated over a two year period for purposes of comparison. The result displays <br />the material yield differential in bushels per acre in counties where an <br />irrigated and dryland crop exist simultaneously. <br />While increased yields are the spirit of irrigation, the forces that make it <br />walk around arc the dollars generated. The additional yield resulting from <br />irrigation could be absolutely constant over time. If this were the case, the <br />decision to irrigate would be based solely upon the prices recei ved for crops. <br />In this situtation, a yield differential of a [mancial nature would clearly be <br />more useful than a material yield differential. In fact, a financial yield dif- <br />ferential factor is a useful number to have even when the yields arc varying <br />