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



               that risk might be reduced by adoption of both winter and summer grazing

               strategies.  Means,  σ,  and  COV  for  NRV  are  shown  in  Table  3  for  High,
               Normal  and  Low  annual  precipitation  scenarios.  Variation  in  NRV  is

               evident. Winter grazing (WH) is notably less risky during High or Normal

               production  years  compared  to  summer  grazing  strategies  (SS  or  BS).  The
               COV for WH (0.2162) is about half of that for SS (0.3791) and BS (0.3949)

               under  the  High  scenario.  Winter  grazing  presents  similar  risk  advantages
               under Normal conditions, as COV for BS (0.5555) and SS (0.4854) are about

               twice that of WH (0.2702).  The scenario with Low annual precipitation is
               the most unfavorable for winter grazing in terms of relative risk to NRV. The

               COV for WH during a Low year is 1.9735, about double that of SS (0.9021),

               and more than triple the COV of 0.6130 for RG. The relative risk for WH is
               notably higher during the Low year than in Normal or High scenarios.

                       Production  costs  are  added  to  the  NRV  in  order  to  determine  the

               expected net return to land, labor and management (NR) for each scenario. In
               addition, seasonal precipitation distributions correspond to grazing times for

               each scenario. Results in Table 4 therefore  reflect the  combined price  and
               precipitation risk associated with the period of grazing for each scenario. The

               lowest risk alternative is for WH, with the combined price and precipitation
               risk  indicated  by  the  COV  of  0.2162.  Combined  risk  for  the  other

               alternatives is notably higher, as indicated by COV of 0.3791, 0.3949, and

               0.3369 for SS, BS, and RG, respectively.


                           Conclusions
                       Declining irrigation in the Texas Panhandle continues to encourage

               development of dryland production systems. Individual producers are often
               limited by land ownership patterns and constraints specific to their situation,

               thus may benefit from models that estimate optimum alternatives based on



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