Determination of Sorghum Optimum Sowing Date, Seasonal Variability of Biomass Production, And Water Use Efficiency in Agricultural Rain Fed Area in Sudan, Using AQUACROP Model
الملخص
This research aimed to determine sorghum optimum sowing date, seasonal variability of biomass production, and water use efficiency in agricultural rain fed area in Sudan using AQUACROP Model. The study selected five meteorological stations representing five different agro- ecological zones located in the north, middle and south of the Sudan namely Al-Dalang, Al- Damazin, Al-Gadaref, El-Obeied, and El-Fasher for the period 1979 to 2014. The results indicated that an increase in sorghum yield under historical climate conditions in the different studied stations is possible with early sowing. Stations with high rain fall (Al-Damazin, Al-Gadaref and Al-Dalang) showed little variations in inter-annual yields and inter-annual biomass yield. There was a big gap between actual and modeled water productivity showing that it is possible to introduce different means (water harvesting and improved cultural practices) to shorten this gap. The obtained WUE is lower in the driest regions (El-Fasher, and El-Obeied) and higher for those of high rain fall. To aid decision makers and crop growers in rain fed areas, a set of recommendations for policy making and future research were identified.
المراجع
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.
AQUACROP -The FAO crop model to simulate yield response to water: III. Parameterization and testing for maize (2009). Agronomy Journal 101: 448-459.
Asseng, S., Foster, I. & Turner, N.C. (2011). The impact of temperature variability on wheat yields. Global Change Biology 17, 997-1012.
Doorenbos, J., Kassam, A.H. 1979. Yield Response to Water. Irrigation & Drainage Paper No 33, FAO, Rome.
Hadjichristodoulou A, Della A, Photiades J (1977). Effect of sowing depth on plant establishment, tillering capacity and other agronomic characters of cereals. J. Agric. Sci. 89: 161-167.
Heng, L.K., T.C. Hsiao, S.R. Evett, T.A. Howell, and P. Steduto. (2009). Testing of FAO Aquacrop model for rainfed and irrigated maize. Agron. J. 101: 488–498 (this issue)
Hsiao, T.C., Heng, L.K., Steduto, P., Rojas-Lara, B., Raes, D. and Fereres, E. 2009.
Mac Carthy, D.S. & Vlek, P.L.G. (2012). Impact of climate change on sorghum production under different nutrient and crop residue management in semi-arid region of Ghana: A modeling perspective. African Crop Science Journal 20, 243-259.
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, Belgium, 166 pp.
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.
Steduto, P., T .C.Hsiao,D. Raes and E. Fereres. (2009). AQUACROP the FAO crop model to simulate yield response to water: I. concepts and underlying principles. Agron. J., 101: 426-437
Raes, D. (2009). Reference Manual - ETo calculator (Version 3.1) (Accessed 13/05/2009).http://www.fao.org/nr/water/docs/referencemanualeto.pdf.
Raes, D., Steduto, P., Hsiao, T.C. and Fereres, E. (2009). AquaCrop-The FAO crop model to simulate yield response to water: II. Main algorithms and soft ware description. In Validating the FAO AquaCrop Model. For Irrigated and Water Deficient Field Maize.
Ramirez-Villegas, J., Challinor, A. J., Thornton. K. P. & Rinaldy M, Losavio N, Flagella Z. (2013). Evaluation of OILCROP-SUN model for sunflower in southern Italy. Agricultural Systems. 78: 17-30.
Rinaldi, M., Casagli, N., Dapporto, S., Gargini, A., (2004). Monitoring and modeling of pore water pressure changes and riverbank stability during flow events. Earth Surf. Process. Landf. 29 (2), 237–254.
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.
Rockström J, Barron, J. and FOX P (2003) Water productivity in rain-fed agriculture: challenges and opportunities for smallholder farmers in drought-prone tropical agro ecosystems. In: Kijne JW, Barker R and Molden D (eds.) Water Productivity in Agriculture: Limits and Opportunities for Improvement. International Water Management Institute (IWMI), Colombo.
Steduto, P., Hsiao, T.C., Raes, D. and Fereres, E. (2009). AquaCrop - The FAO crop model to simulate yield response to water: I. Concepts and underlying principles. Agronomy Journal 101: 426-437.
Todorovic, M., Albrizio, R., Zivotic, L., Saab, M.T.A., Stockle, C., Steduto, P. (2009). Assessment of Aqua Crop, Crop System, and WOFOST Models in the Simulation of Sunflower Growth under Different Water Regimes, Agron. J. 101(3), 509-521.
White JW, Hoogenboom G, Kimball BA, Wall GW (2011) Methodologies for simulating impacts of climate change on crop production. Field Crops Research 124: 357-368.