Simulation of sugarbeet growth under different water egimes and nitrogen levels by aqua crop
Paper Details
Simulation of sugarbeet growth under different water egimes and nitrogen levels by aqua crop
Abstract
Precise crop growth models are important tools in assessment the effects of water deficits on crop yield or productivity and predicting yields to optimize irrigation under limited available water for enhanced sustainability and profitable production. Food and Agricultural Organization (FAO) of United Nations addresses this need by providing a yield response to water simulation model (AquaCrop) with limited complexity. The objectives of this study were to evaluate the AquaCrop model for its ability to simulate sugarbeet (Beta vulgaris L.) performance under full and deficit water conditions and two nitrogen levels in a dry environment in center of Iran. The AquaCrop model was evaluated with experimental data collected during the field experiment conducted in Markazi province. The AquaCrop model was able to accurately simulate crop biomass, root yield and canopy cover, with normalized Root Mean Square Error (RMSE) less than 18% for non-water-stress or mild water stress condition. The most deviation in simulation of root yield was in treatment of highest water stress and low nitrogen level (I9N100). Canopy cover was simulated good enough in almost all of treatment but same trend as root yield observed. The ease of use of the AquaCrop model, the low requirement of input parameters and its sufficient degree of simulation accuracy make it a valuable tool for estimating crop productivity under rainfed conditions, supplementary and deficit irrigation and on-farm water management strategies for improving the efficiency of water use in agriculture.
Allen RG, Pereira LS, Raes D, Smith M. 1998. Crop evapotranspiration guidelines for computing crop water requirements. FAO Irrigation and drainage paper 56, Rome.
Andarzian B, Bannayan M, Steduto P, Mazraeh H, Barati ME. 2011. Validation and testing of the AquaCrop model under full and deficit irrigated wheat production in Iran. Agricultural Water Management 100, 1-8. http://dx.doi.org/10.1016/j.agwat.2011.08.023
Araya A, Habtub S, Hadguc KM, Kebedea A, Dejened 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. http://dx.doi.org/10.1016/j.agwat.2010.06.021
Bradford KJ, Hsiao TC. 1982. Physiological responses to moderate water stress. Physiological plant ecology, 263-324.
Boote KJ, Jones JW, Batchelor WD, Nafziger ED, Myers O. 2003. Genetic coefficients in the CROPGRO-Soybean Model: Links to field performance and genomics. Agronomy Journal 95, 32-51. http://dx.doi.org/10.2134/agronj2003.0032
Farahani HJ, Izzi G, Steduto P, Oweis TY. 2009. Parameterization and evaluation of AquaCrop for full and deficit irrigated cotton. Agronomy Journal 101, 469-476. http://dx.doi.org/10.2134/agronj2008.0182s
Garcia-Vila M, Fereres E, Mateos L, Orgaz F, Steduto P. 2009. Deficit irrigation optimization of cotton with AquaCrop. Agronomy Journal 101, 477-487. http://dx.doi.org/10.2134/agronj2008.0179s
Geerts S, Raes D, Garcia M, Miranda R. Cusicanqui JA. 2009. Simulating yield response to water of quinoa (Chenopodium quinoa Willd.) with FAO-AquaCrop. Agronomy Journal 101, 499-508. http://dx.doi.org/10.2134/agronj2008.0137s.
Heng LK, Evett SR, Howell TA, Hsiao TC. 2009. Calibration and testing of FAO AquaCrop model for maize in several locations. Agronomy Journal 101, 488-498. http://dx.doi.org/10.2134/agronj2008.0029xs
Hsiao TC. 1973. Plant responses to water stress. Annual Review of Plant Physiology 24, 519-570. http://dx.doi.org/10.1146/annurev.pp.24.060173.002511
Hsiao TC, Bradford KJ. 1983. Physiological consequences of cellular water deficits. In Limitations to Efficient Water Use in Crop Production. Eds. H M Taylor, W R Jordan and T R Sinclair. 227–265 p. ASA Inc., CSA Inc., SSSA Inc., Madison, WI.
Hsiao TC, Fereres E, Acevedo E, Henderson DW. 1976. Water stress and dynamics of growth and yield of crop plants. Water and Plant Life Ecological Studies 19, 281-305.
Hsiao TC, Heng LK, Steduto P, Raes D, Fereres E. 2009. AquaCrop-Model parameterization and testing for maize. Agronomy Journal 101, 448-459. http://dx.doi.org/10.2134/agronj2008.0218s
Jamieson PD, Porter JR, Wilson DR. 1991. A test of computer simulation model ARC-WHEAT1 on wheat crops grown in New Zealand. Field Crops Research 27, 337-350. http://dx.doi.org/10.1016/0378-4290(91)90040-3
Loague K, Green RE. 1991. Statistical and graphical methods for evaluating solute transport models; overview and application. Journal of Contaminant Hydrology 7, 51-73. http://dx.doi.org/10.1016/0169-7722(91)90038-3
Loomis RS, Rabbinge R, Ng E. 1979. Explanatory models in crop physiology. Annual Review of Plant Physiology 30, 339-367. http://dx.doi.org/10.1146/annurev.pp.30.060179.002011
Raes D, Steduto P, Hsiao TC, Fereres E. 2009. AquaCrop-The FAO crop model for predicting yield response to water: II. Main algorithms and software description Agronomy Journal 101, 438-447. http://dx.doi.org/10.2134/agronj2008.0140s
Raes D, Steduto P, Hsaio TC, Fereres E. 2011. FAO crop water productivity model to simulate yield response to water (Reference Manual).
Sinclair TR, Seligman NG. 1996. Crop modelingIJB-V4-No4-p1-9: From infancy to maturity Agronomy Journal 88, 698-704. http://dx.doi.org/10.2134/agronj1996.00021962008800050004x
Sinclair TR, Seligman N. 2000. Criteria for publishing papers on crop modeling. Field Crops Research 68, 165-172. http://dx.doi.org/10.1016/S0378-4290(00)00105-2
Steduto P, Hsiao TC, Fereres E. 2007. On the conservative behavior of biomass water productivity. Irrigation Science 25, 189-207. http://dx.doi.org/10.1007/s00271-007-0064-1
Steduto P, Hsiao TC, Raes D, Fereres E. 2009. AquaCrop-The FAO crop model for predicting yield response to water: I. Concepts and underlying principles. Agronomy Journal 101, 426-437. http://dx.doi.org/10.2134/agronj2008.0139s
Stricevic R, Cosic M, Djurovic N, Pejic B, Maksimovic L. 2011. Assessment of the FAO AquaCrop model in simulation of rainfed and supplementally irrigated maize, sugar beet and sunflower. Agricultural Water Management 98, 1615-1621. http://dx.doi.org/10.1016/j.agwat.2011.05.011
Todorovic M, Albrizio R, Zivotic L, Abi saab M, Stwckle C. 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. http://dx.doi.org/10.2134/agronj2008.0166s
Willmott CJ, Akleson GS, Davis RE, Feddema JJ, Klink KM. 1985. Statistic for the evaluation and comparison of models. Journal of Geophysical Research 90, 8995-9005. http://dx.doi.org/10.1029/JC090iC05p08995
Reza Alishiri, Farzad Paknejad, Fayaz Aghayari, 2014. Simulation of sugarbeet growth under different water egimes and nitrogen levels by aqua crop. Int. J. Biosci., 4(4), 1-9.
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