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THE JOURNAL OF ECONOMIC SCIENCES: THEORY AND  PRACTICE


                RISK REDUCTION THROUGH OPTIMAL GRAZING SCENARIOS
                 FOR LIVESTOCK/FORAGE SYSTEMS IN TEXAS PANHANDLE

                                          David G. Lust, Ph.D.
                                           Assistant Professor
                                   Department of Agricultural Sciences
                                      West Texas A&M University
                                          Canyon, Texas 79016
                                            [email protected]


                                          Lal K. Almas, Ph.D.
                                     Fulbright Scholar and Professor
                                   Department of Agricultural Sciences
                                      West Texas A&M University
                                          Canyon, Texas 79016
                                           [email protected]


                                              ABSTRACT
               Mathematical models are developed to determine optimum grazing scenarios for

               dryland producers. Model alternatives include wheat, sorghum-sudan, summer
               perennial grass, and native range. Precipitation risk and price risk are estimated

               for seasonal production alternatives, and options that reduce both price risk and

               production risk are examined.  Dryland producers are constrained by individual
               resources and may be unable to adopt regionally optimum strategies.  Risk may

               be  reduced  for  producers  even  if  constraints  prevent  adoption  of  optimal
               strategies.  Dryland producers face market risk as well as significant production

               risk due to variable precipitation patterns. Combination systems that adopt both
               winter  and  summer  grazing  may  reduce  overall  risk  due  to  the  negative

               correlation  between  winter  and  summer  seasonal  precipitation.  Optimization

               models that can be tailored to individual landowner needs may provide greater
               opportunity for small landowners to reduce risk.





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