Aqua-crop module as best tool to estimate water stress in durum wheat (Triticum durum Desf.) under semi-arid conditions

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Research Paper 01/05/2018
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Aqua-crop module as best tool to estimate water stress in durum wheat (Triticum durum Desf.) under semi-arid conditions

K. Maamri, A. Guendouz, L. Moumeni, M. Hafsi
Int. J. Biosci.12( 5), 174-183, May 2018.
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Simulation models that clarify the effects of water on crop yield are useful tools for improving farm level water management and optimizing water use efficiency. FAO recently developed a water-driven model for use as a decision support tool in planning and scenario analysis in different seasons and locations with limited sophistication. The objective of this study is to validate the Aqua-Crop model for its ability to simulate wheat (Triticum durum Desf.) performance under semi-arid conditions in East of Algeria. The Aqua-Crop model was evaluated with field experimental data collected during five cropping seasons (2010-2016) were total water stress ranged between 20% at Heading-Maturity stage to 66% at Heading-Maturity stage. The results of this study proved the efficiency of the Aqua Crop model to quantify the water stress. The results of reliability indices such as Root Mean Square Error (RMSE), Average Absolute Error (AAE), Index of agreement (d), and Prediction error (Pe) were 3.17, 2.96, 0.54 and 5.41% respectively for grain yield; and 4.29, 4.03, 0.38 and 6.25% respectively for final above-ground biomass. The Aqua-Crop model was able to accurately simulate harvest index giving a d = 0.69, RMSE and AAE of 14.41 and 13.65%, respectively. The Aqua-Crop model can adequately quantify water stress and can be used to explore management options to improve wheat water productivity. His simplicity due to its required minimum input data, which are readily available or can easily be collected, can made it user-friendly for users.


Abayomi Y, Wright D. 1999. Effects of water stress on growth and yield of spring wheat (Triticum aestivum L.) cultivars. Tropical Agriculture 76, 120-125.

Acevedo E, Harris H, Cooper PJM. 1991. Crop architecture and water use efficiency in Mediterranean environments. In Soil and Crop Management for Improved Water Use Efficiency in Rainfed Areas, H. Harris, P.J.M. Cooper and M. Pala, eds. p.106-118. ICARDA, Syria

Acevedo E, Hsiao TC, Henderson DW. 1971. Immediate and subsequent growth responses of maize leaves to changes in water status. Plant Physiology 48, 631-636.

Aggarwal PK, Singh AK, Chaturvedei GS, Sinha SK. 1986. Performance of wheat and triticale cultivars in a variable soil-water environment. II. Evapotranspiration, water use efficiency, harvest index and grain yield. Field crops research 13, 301-315.

Ahmad R, Qadir S, Ahmad N, Shah KH. 2003. Yield potential and stability of nine wheat varieties under water stress conditions. International Journal of Agriculture and Biology 5, 7-9.

Akbar M, Muhammad T, Tayyab J, Muhammad A. 2001. Evaluation of exotic wheat germplasm for seed yield and its components under rainfed conditions. Sarhad Journal of Agriculture 17(4), 511-513.

Allen RG, Pereira LS, Raes D, Smith M. 1998. Crop evapotranspiration. Guidelines for computing crop water requirements. In: FAO Irrigation and Drainage Paper No. 56. Rome, FAO.

Andarzian B, Bakhshandeh AM, Bannayan M, Emam G, Fathi G, Alami Saeed G. 2008. Wheat Pot: a simple model for spring wheat yield potential using monthly weather data. Biosystems Engineering 99, 487-495.

Andarzian B, Bannayan M, Steduto P, Mazraeh H, Barati ME, Barati MA, Rahnama A. 2011. Validation and testing of the Aquacrop model under full and deficit irrigated wheat production in Iran. Agricultural Water Management 100, 1-8.

Araya A, Habtub S, Hadguc KM, Kebedea A, Dejene T. 2010. Test of Aqua Crop model in simulating biomass and yield of water deficient and irrigated barley (Hordeum vulgare). Agricultural Water Management 97, 1838-1846.

Ashraf MY. 1998. Yield and yield components response of wheat (Triticum aestivum L.) genotypes tinder different soil water deficit conditions. Acta Agronomica Hungarica 46, 45-51.

Bidinger FR, Musgrave RB, Fischer RA. 1977. Contribution of stored pre-anthesis assimilates to grain yield in wheat and barley. Nature 270, 431-433.

Bukhat NM. 2005. Studies in yield and yield associated traits of wheat (Triticum aestivum L.) genotypes under drought conditions. M.Sc Thesis Department of Agronomy. Sindh Agriculture University, Tandojam, Pakistan.

Dencic S, Kastori R, Kobiljski B, Duggan B. 2000. Evaporation of grain yield and its components in wheat cultivars and land races under near optimal and drought conditions. Euphytica 1, 43-52.

Doorenbos J, Kassam AH. 1979. Yield response to water. Irrigation and Drainage Paper n. 33. FAO, Rome, Italy 193pp.

Eastham J, Osterhuis DM, Walker S. 1984. Leaf water and turgor potential threshold values for leaf growth of wheat. Agronomy journal 76, 841-847.

Geerts S, Raes D, Gracia M, Miranda R, Cusicanqui JA, Taboada C, Mendoza j, Huanca R, Mamani A, Condori O, Mamani J, Morales B, Osco V, Steduto P. 2009. Simulating yield response of Quinoa to water availability with AquaCrop. Agronomy journal 101, 499-508.

Gupta N K, Gupta S, Kumar A. 2001. Effect of water stress on physiological attributes and their relationship with growth and yield in wheat cullivars at different growth stages. Agronomy journal 86, 1437-1439.

Hochman ZVI. 1982. Effect of water stress with phasic development on yield of wheat grown in a semi-arid environment. Field crops research 5, 55-67.

Hsiao TC, Heng LK, Steduto P, Rojas-Lara B, Raes D, Fereres E. 2009. Aqua-Crop the FAO crop model to simulate yield response to water: III. Parameterization and testing for maize. Agronomy journal 101, 448-459.

Kiniry JR. 1993. Nonstructural carbohydrate utilisation by wheat shaded during grain growth. Agronomy journal 85, 844-849.

Loague K, Green RE. 1991. Statistical and graphical methods for evaluating solute transport models; overview and application. Journal of Contaminant Hydrology 7, 51 73.

Moustafa MA, Boersma L, Kronstad WE. 1996. Response of four spring wheat cultivars to drought stress. Crop Science 36, 982-986.

Nain AS, Kersebaum KCh. 2007. Calibration and validation of CERES-wheat model for simulating water and nutrients in Germany. In: Kersebaum K Ch et al. (Eds.), Modeling Water and Nutrient Dynamics in Soil–Crop Systems. Springer pp. 161-181.

Nash JE, Sutcliffe JV. 1970. River flow forecasting through conceptual models. Part 1: A discussion of principles, Journal of Hydrology 10, 282-290.

Nezhadahmadi A, Prodhan ZH, Faruq G. 2013. Drought Tolerance in Wheat. The Scientific World Journal 10, 1-12.

Ngetich K F, Raes D, Shisanya C A, Mugwe J, Mucheru-Muna M, Mugendi DN, Diels J. 2012. Calibration and validation of Aqua Crop model for maize in sub-humid and semiarid regions of central highlands of Kenya. Third RUFORUM Biennial Meeting, Entebbe, Uganda.

Nicholas ME, Turner NC. 1993. Use of chemical desiccants and senescing agents to select wheat lines maintaining stable grain size during post-anthesis drought. Field crops research 31, 155-171.

Oosterhuis DM, Cartwright PM. 1983. Spike Differentiation and floret survival in semi dwarf spring wheat as affected by water stress and photoperiod. Crop Science, 23, 711-716.

Palta JA, Kobata T, Turner NC, Fillery IR. 1994. Remobilization of carbon and nitrogen in wheat as influenced by post-anthesis water deficits. Crop Science 34, 118-124.

Peterson CM, Klepper B, Pumphrey FB, Rickman RW. 1984. Restricted rooting decreases tillering and growth of winter wheat. Agronomy Journal 76, 861-863.

Raes D, Steduto P, Hsiao TC, Fereres E. 2009. Aqua Crop the FAO crop model to simulate yield response to water. II. Main algorithms and software description. Agronomy journal 101, 438-447.

Richards RA, Townley-Smith TF. 1987. Variation in leaf area development and its effects and water use, yield and harvest index of droughted wheat. Australian Journal of Agricultural Research 38, 983-992.

Rickman RW, Klepper BL, Peterson CM. 1983. Time distribution for describing appearance of specific culms of winter wheat. Agronomy journal 75, 551-556.

Salazar O, Wesstrom I, Youssef MA, Wayne, Skaggs R, Joel A. 2009. Evaluation of the DRAINMOD-N II model for predicting nitrogen losses in loamy sand under cultivation in southeast Sweden. Agricultural Water Management 96, 267-281.

Salter PJ, Goude JE. 1967. Crop responses to water at different stages of growth. Common Wealth Bureau of Horticultural and Plantation Corps. Research Review No, 2. p. 246.

Simane B, Peacock JM, Struik PC. 1993. Differences in development and growth rate among drought-resistant and susceptible cultivars of durum wheat (Triticum turgidum L. var. durum). Plant and Soil 157, 155-166.

Steduto P, Hsiao TC, Raes D, Fereres E. 2009. Aqua Crop 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. 2009. Assessment of Aqua Crop, Crop Syst, and WOFOST models in the simulation of sunflower growth under different water regimes. Agronomy Journal 101, 509-521.

Tunio SD, Korejo MN, Jarwar AD, Waggan MR. 2006. Studies on indegenious and exotic weed competition in wheat. Pakistan Journal of Agriculture and Biology 5(4), 1-8.

Willmott CJ, Akleson GS, Davis RE, Feddema JJ, Klink KM, Legates DR, Odonnell J, Rowe CM. 1985. Statistic for the evaluation and comparison of models. Journal of Geophysical Research 90, 8995 9005.

Zeleke KT, Wade LJ. 2012. Evapotranspiration Estimation Using Soil Water Balance, Weather and Crop Data, Evapotranspiration – Remote Sensing and Modeling, Dr. Ayse Irmak (Ed.) 19pp.