Use of the FAO AquaCrop model in developing sowing guidelines for rainfed maize in Zimbabwe

Water SA

Volumn 40, Issue 2, 2014, Pages 233-243

  Mhizha, Teddious ^a   Geerts, Sam ^b   Vanuytrecht, Eline ^b   Makarau, Amos ^c   Raes, Dirk ^b  

^a UNIVERSITY OF ZIMBABWE   (Zimbabwe)

^b UNIVERSITY OF LEUVEN   (Belgium)

^c Meteorological Services Department   (Zimbabwe)

Author keywords

AquaCrop; Biomass water productivity; Crop modelling; Maize sowing dates

Indexed keywords

DECISION SUPPORT SYSTEMS; RAIN; SOIL MOISTURE;

AQUACROP; CALIBRATION AND VALIDATIONS; EFFECTS OF RAINFALLS; MANAGEMENT OPTIONS; METEOROLOGICAL STATION; OPTIMISATION PROCEDURES; SOWING DATE; WATER PRODUCTIVITY;

CALIBRATION;

AGRICULTURAL MANAGEMENT; CALIBRATION; CROP YIELD; DECISION SUPPORT SYSTEM; FOOD AND AGRICULTURAL ORGANIZATION; GROWTH RATE; HARVESTING; MAIZE; NUMERICAL MODEL; OPTIMIZATION; PARAMETERIZATION; RAINFALL; RAINFED AGRICULTURE; SIMULATION; SOIL DEPTH; SOWING;

HARARE [ZIMBABWE]; ZIMBABWE;

EID: 84897071315     PISSN: 03784738     EISSN: 18167950     Source Type: Journal    
DOI: 10.4314/wsa.v40i2.5     Document Type: Article

References (40)

1. ALLEN RG, PEREIRA LS, RAES D and SMITH M (1998) Crop evapotranspiration-Guidelines for computing crop water requirements. FAO Irrigation and Drainage Paper No. 56. FAO, Rome. 300 pp.
2. ARMBRUST DV (1990) Rapid measurement of crop canopy cover. Agron. J. 82 1170-1171.
3. BOOTE KJ, JONES JW and PICKERING NB (1996) Potential uses and limitations of crop models. Agron. J. 88 704-716.
4. BURT R, WILSON AM, KANYANDA CW, SPURWAY JKR and METZLER JD (2001) Properties and effects of management on selected soils in Zimbabwe. Geoderma 101 119-141.
5. EICHER CK (1995) Zimbabwe's maize-based green revolution: Preconditions for replication. World Dev. 23 (5) 805-818.
6. FAO (FOOD AND AGRICULTURAL ORGANISATION OF THE UNITED NATIONS) (1996) Food requirements and population growth. World Food Summit Technical Background Document No. 4. URL: http://www.fao.org/docrep/003/w2612e/w2612e4a.htm (Accessed 21 January 2010).
7. FAO (FOOD AND AGRICULTURAL ORGANISATION OF THE UNITED NATIONS) (2009) The ETo Calculator Version 3.1 Reference Manual. URL: http://www.fao.org/nr/water/docs/ReferenceManualETo.pdf (Accessed 20 July 2012).
8. FAO (FOOD AND AGRICULTURAL ORGANISATION OF THE UNITED NATIONS) (2010) Crop Water Information: Maize. URL: http://www.fao.org/nr/water/cropinfo_maize.html (Accessed 20 July 2012).
9. FOX P and ROCKSTRÖM J (2003) Supplemental irrigation for dry spell mitigation of rainfed agriculture in the Sahel. Agric. Water Manage. 61 29-50.
10. FYLSTRA D, LASDON L, WATSON J and WARREN A (1998) Design and use of the Microsoft Excel Solver. Interfaces 28 (5) 29-55.
11. GARCÍA-VILA M, FERERES E, MATEOS L, ORGAZ F and STEDUTO P (2009) Deficit irrigation optimization of cotton with AquaCrop. Agron. J. 101 477-487.
12. GEERTS S, RAES D, GARCIA M, DEL CASTILLO D and BUYTAERT W (2006) Agro-climatic suitability mapping for crop production in the Bolivian Altiplano: A case study for quinoa. Agric. For. Meteorol. 139 399-412.
13. GEERTS S, RAES D, GARCIA M, MIRANDA R, CUSICANQUI JA, TABOADA C, MENDOZA J, HUANCA R, MAMANI A, CONDORI O, MAMANI J, MORALES B, OSCO V and STEDUTO P (2009a) Simulating yield response of Quinoa to water availability with AquaCrop. Agron. J. 101 499-508.
14. HENG LK, EVETT SR, HOWELL TA and HSIAO TC (2009) Calibration and testing of FAO aquacrop model for rainfed and irrigated maize. Agron. J. 101 488-498.
15. HSIAO TC, HENG LK, STEDUTO P, ROJAS-LARA B, RAES D and FERERES E (2009) AquaCrop-the FAO crop model to simulate yield response to water: III. Parameterization and testing for maize. Agron. J. 101 448-459.
16. JONES CA, KINIRY JR and DYKE PT (1987) CERES-Maize: A Simulation Model of Maize Growth and Development. Texas A and M University Press, Texas.
17. KEATINGE JDH, AIMING Q, KUSMENOGLU I, ELLIS RH, SUMMERFIELD RJ, ERSKINE W and BENIWAL SPS (1995) Defining critical weather events in the phenology of lentil for winter sowing in the west Asian highlands. Agric. For. Meteorol. 74 251-263.
18. KRAUSE P, BOYLE DP and BASE F (2005) Comparison of different efficiency criteria for hydrological model assessment. Adv. Geosci. 5 89-97.
19. LOAGUE K and GREEN RE (1991) Statistical and graphical methods for evaluating solute transport models: overview and application. J. Contam. Hydrol. 7 51-73.
20. MASANGANISE J, CHIPINDU B, MHIZHA T and MASHONJOWA E (2012) Model prediction of maize yield responses to climate change in north-eastern Zimbabwe. Afr. Crop Sci. J. 20 (2) 505-515.
21. MHIZHA T (2010) Increase of yield stability by staggering the sowing dates of different varieties of rainfed maize in Zimbabwe. PhD thesis, Katholieke Universiteit Leuven.
22. MHIZHA T, GEERTS S, VANUYTRECHT E, MAKARAU A and RAES D (2012) Relative transpiration as a decision tool in crop management: a case for rainfed maize in Zimbabwe. Afr. Crop Sci. J. 20 (1) 47-57.
23. NASH JE and SUTCLIFFE JV (1970) River flow forecasting through conceptual models Part I: A discussion of principles. J. Hydrol. 10 282-290.
24. PHILIPS JG, DEAN D, UNGANAI L and CHIMELI A (2002) Implications of farm-level response to seasonal climate forecasts for aggregate grain production in Zimbabwe. Agric. Syst. 74 351-369.
25. PHILLIPS JG, CANE MA and ROSENZWEIG C (1998) ENSO, seasonal rainfall patterns and simulated maize yield variability in Zimbabwe. Agric. For. Meteorol. 90 39-50.
26. PINSTRUP-ANDERSEN P, PANDYA-LORCH R and ROSEGRANT MW (1999) World food prospects: Critical issues for the early twenty-first century. URL: http://www.ucc.ie/famine/conference/papers/Pandya-Lorch.pdf (Accessed 29 August 2008).
27. RAES D, SITHOLE A, MAKARAU A and MILFORD, J (2004) Evaluation of first sowing dates recommended by criteria currently used in Zimbabwe. Agric. For. Meteorol. 125 177-185.
28. RAES D, STEDUTO P, HSIAO TC and FERERES E (2009a) AquaCrop-The FAO crop model for predicting yield response to water: II. Main algorithms and soft ware description. Agron. J. 101 438-447.
29. RAES D, STEDUTO P, HSIAO TC and FERERES E (2009b) AquaCrop Reference Manual. URL: http://www.fao.org/nr/water/aquacrop.html (Accessed 6 September 2011).
30. ROCKSTRÖM J and BARRON J (2007) Water productivity in rainfed systems: overview of challenges and analysis of opportunities in water scarcity prone savannahs. Irrig. Sci. 25 299-311.
31. ROCKSTRÖM J, BARRON J and FOX P (2003) Water productivity in rain-fed agriculture: challenges and opportunities for smallholder farmers in drought-prone tropical agroecosystems. In: Kijne JW, Barker R and Molden D (eds.) Water Productivity in Agriculture: Limits and Opportunities for Improvement. International Water Management Institute (IWMI), Colombo.
32. SEEDCO (2005) SEEDCO AGRONOMY MANUAL. URL: http://www.seedco.co.zw/productmanuals.cfm (Accessed 24 November 2009).
33. MPANDE RL and TWANDA M (1998) Case study: Southern Africa population dynamics and the emerging competition for water use in the Zambezi river basin. URL: http://www.aaas.org/international/ehn/waterpop/southaf.htm (Accessed 13 July 2011).
34. STEDUTO P, HSIAO TC, RAES D, FERERES E (2009) AquaCrop-the FAO crop model to simulate yield response to water: I. Concepts and underlying principles. Agron. J. 101 426-437.
35. STRICEVIC R, COSICA M, N DJUROVICA N, PEJIC B AND MAKSIMOVICC L (2011) Assessment of the FAO AquaCrop model in the simulation of rainfed and supplementally irrigated maize, sugar beet and sunflower. Agric. Water Manage. 98 (10) 1615-1621.
36. TODOROVIC M, ALBRIZIO R, ZIVOTIC L, ABI SAAB M, STWCKLE C and STEDUTO P (2009) Assessment of AquaCrop, CropSyst and WOFOST models in the simulation of sunflower growth under different water regimes. Agron. J. 101 509-521.
37. VINCENT V and THOMAS RG (1961) An agricultural survey of Southern Rhodesia: Part I: agro-ecological survey. Government Printer, Salisbury.
38. WGLARCZYK S (1998) The interdependence and applicability of some statistical quality measures for hydrological models. J. Hydrol. 206 98-103.
39. YANG HS, DOBERMANN A, LINDQUIST JL, WALTERS DT, ARKEBAUER TJ and CASSMAN KG (2004) Hybrid-maize-a maize simulation model that combines two crop modeling approaches. Field Crops Res. 87 131-154.
40. ZINYENGERE N, MHIZHA T, MASHONJOWA E, CHIPINDU B, GEERTS S and RAES D (2011) Using seasonal climate forecasts to improve maize production decision support in Zimbabwe. Agric. For. Meteorol. 151 (12) 1792-1799.