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GENERALISED WHOLE-FARM STOCHASTIC DYNAMICPROGRAMMING MODEL TO OPTIMISE AGRICULTURAL WATERUSEby B. GROVEReport to the Water Research CommissionPROJECT LEADER: PROF. L.K. OOSTHUIZENDEPARTMENT OF AGRICULTURAL ECONOMICSUNIVERSITY OF THE FREE STATEP.O. Box 339WRC REPORT NO: 1266/1/06ISBN NO: 1-77005-457-XBLOEMFONTEIN9300MARCH 2006
DISCLAIMERThis report has been reviewed by the Water Research Commission (WRC) andapproved for publication. Approval does not signify that the contents necessarilyreflect the views and policies of the WRC, nor does mention of trade names orcommercial products constitute endorsement or recommendation for use.
Page 1: GENERALISED WHOLE-FARM STOCHASTICDY
Page 5 and 6: A cknowledgements* Mr Abraham Bekke
Page 7: Executive Summar\-the season (Berna
Page 10: Executive Summaryseveral farmers us
Page 13 and 14: Table of contents2.6 CONCLUSIONS 22
Page 15 and 16: LIST OF TABLESTABLE 3.1: UTILISATIO
Page 17 and 18: Lys van figureFIGURE E1:ENVELOPE OF
Page 19 and 20: Introductioncrops compete for water
Page 21 and 22: IntroductionChapter 2 gives an over
Page 23 and 24: Literature reviewYieldY = /(ET)y- .
Page 25: Literature reviewThe Lagrangian mut
Page 32 and 33: Literature review 15water use betwe
Page 34 and 35: Literature review 17White, 1969). A
Page 36 and 37: Literature review 19the explicit ti
Page 38 and 39: Literature review 21The variance of
Page 40 and 41: CHAPTERSTUDYAREA3.1 GENERAL DESCRIP
Page 42 and 43: Study Area 25250Jan Feb Mar Apr May
Page 44 and 45: Study Area 27users. More specifical
Page 46 and 47: Study Area 29which the user may dis
Page 48 and 49: Descriplion of the multi-period ris
Page 50 and 51: Description of (he multi-period ris
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Description of the multi-period ris
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Results and conclusions 735.2 RE-AL
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Results and conclusions 755.3 RE-AL
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Results and conclusions 11unrealist
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RESEARCH IMPLICATIONSGeneralWhile S
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Research implications 81• The imp
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REFERENCESANNANDALE, J.G., BENADE,
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References 85DE JUAN, J.A, TARJUELO
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References 87MARE, H.G. (1995). Mar
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References 89Orange-Riet water user
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Appendix A 91pivotlpivotlpivotlpivo
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Appendix A 93flood2flood2flood2floo
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Appendix A 95labour.labour,labour.l
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Appendix A 97floodlfloodlflood2floo
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Appendix A 99pivot.ml.cropB.y3pivot
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Appendix A 101flood2flood2flood2.pi
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Appendix A 103CanalNetwork. gins04/
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Appendix A 105yipivot1.pivot.ml.cro
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Appendix A 107farm2.floodlfarm2.flo
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Appendix B 109C(I,J) Cholesky decom
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Appendix B 111DISPLAY VC;* Whistle
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Appendix B 113CUD(rnd,I,t)LE ((DATA
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APPENDIXENTERPRISE BUDGETWHEAT CENT
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Appendix C 118MAIZE: CENTRE PIVOTIt
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Appendix C120GROUNDNUTS CENTRE PIVO
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Appendix C 122LUCERNE: FLOOD 2003It
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Appendix C 124COTTON: FLOOD 2003Ite
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Appendix D 1265cl_5c3_off5c45c6offo
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Appendix D 128sec_to_ter(con,conl)
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Appendix D 130TABLEpg_to_p(pg,p) li
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Appendix D132wt25wt2 6wt27wt28wt2 9
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Appendix D 134pivot 10/TABLEprices(
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APPENDIXPRODUCTION FUNCTION ENVELOP
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Appendix E 1388.5»• •* •»
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Appendix E 1403.63.2* * * * ••
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