SIMULATION OF RICE YIELD UNDER WATER AND SALINITY STRESS IN RASHT AREA USING AQUACROP MODEL
DOI:
https://doi.org/10.11113/jt.v76.5947Keywords:
AquaCrop model, yield, salinity, irrigationAbstract
Guilan is a north province of Iran in which plays an important role in rice production. Since 78.8% of Giulan farmlands are under cultivation of rice, it is the second province ranking as rice producer in Iran. On the other hand, because of dam construction and neighborhood to the Caspian Sea, the volume of fresh water is declining, and is transformed to saline water. In this study, AquaCrop model version 4.0 with additional salinity module was used for calibration and validation in two successive years at Rasht rice Research Institute that is located nearby Rasht city. Five irrigation levels: full irrigation, alternate wetting and drying (AWD), irrigation at 100, 90 and 80% of field capacity (FC) and Four water salinity treatments: fresh water = S0 (EC = 1 dS m-1) while S1, S2, and S3 are saline water with 2, 4, and 6 dS m-1, respectively, were applied for evaluation of rice yield. Statistical analysis, including root mean square error normalized, coefficient of determination (R2), and paired t-tests showed that simulated and observed values are the same at 95% confidence level. Moreover, the FAO AquaCrop model predicted rice yield with more accuracy in less salinity values (EC = 2 dS m-1 and less). Overall, AquaCrop model represented  acceptability in simulation of rice yield under simultaneously water and salinity stress. Â
References
Khan, S., Tariq, R., Yuanlai, C. and Blackwell, J. 2006. Can Irrigation Be Sustainable? Agricultural Water Management. 80(1-3): 87-99.
Pereira, L. S., Oweis, T., and Zairi, A. 2002. Irrigation Management Under Water Scarcity. Agricultural Water Management. 57(3): 175-206.
Dobermann, A., and Fairhurst, T. 2000. Rice: Nutrient Disorders & Nutrient Management. IRRI (free PDF download).
Nhan, D. K., Phap, V. A., Phuc, T. H., and Trung, N. H. 2012. Rice production Response and Technological Measures to Adapt to Salinity Intrusion in the Coastal Mekong Delta. Can Tho: Can Tho University.
Zeng, L., and Shannon, M. C. 2000. Effects of Salinity on Grain Yield and Yield Components of Rice at Different Seeding Densities. Agronomy Journal. 92(3): 418-423.
Homaee, M. 2002. Responses of Plants to Salinity. Iranian National Committee on Irrigation and Drainage Press. (In Persian).
Motamed, M. K., Asadi, R., Rezaei, M., and Amiri, E. 2008. Response of High Yielding Rice Varieties to Nacl Salinity in Greenhouse Circumstances. African Journal of Biotechnology. 7: 21.
Wopereis, M. C. S., Donovan C., Nebié, B., Guindo, D., and Diaye, M. K. N. 1999. Soil fertility Management In Irrigated Rice Systems in the Sahel and Savanna Regions of West Africa: Part I. Agronomic Analysis. Field Crops Research. 61(2): 125-145.
Munns, R., Comparative Physiology of Salt and Water Stress. 2002. Plant, Cell & Environment. 25(2): 239-250.
Casanova, D., Goudriaan, J., Catala Former, M. M., and Withagen, J. C. M. 2002. Rice yield Prediction from Yield Components and Limiting Factors. European Journal of Agronomy. 17(1): 41-61.
Castillo, E. G., Tuong, T. P., Ismail, A. M., and Inubushi, K. 2007. Response to Salinity in Rice: Comparative Effects of Osmotic and Ionic Stresses. Plant Production Science. 10(2): 159-170.
Katerji, N., Van Hoorn, J. W., Hamdy, A., and Mastrorilli, M. 2000. Salt Tolerance Classification of Crops According to Soil Salinity and to Water Stress Day Index. Agricultural Water Management. 43(1): 99-109.
Asch, F., Dingkuhn M., and Dorffling, K. 2000. Salinity Increases CO2 Assimilation But Reduces Growth in Field-Grown, Irrigated Rice. Plant and Soil. 218(1-2): 1-10.
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 Software Description. Agronomy Journal. 101(3): 438-447.
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(3): 426-437.
GarcÃa-Vila, M., and Fereres, E. 2012. Combining the Simulation Crop Model Aquacrop with an Economic Model for the Optimization of Irrigation Management at Farm Level. European Journal of Agronomy. 36(1): 21-31.
Yuan, M., Zhang, L., Gou, F., Su, Z., Spiertz, J. H. J., and Van Der Werf, W. 2013. Assessment of Crop Growth and Water Productivity for Five C3 Species in Semi-arid Inner Mongolia. Agricultural Water Management. 122(0): 28-38.
Abedinpour, M., Sarangi, A., Rajput, T. B. S., Singh, M., Pathak, H., and Ahmad, T. 2012. Performance evaluation of Aquacrop Model for Maize Crop in a Semi-arid Environment. Agricultural Water Management. 110: 55-66.
Shrestha, N., Raes, D., Vanuytrecht, E., and Sah, Sh.K. 2013. Cereal Yield Stabilization in Terai (Nepal) by Water and Soil Fertility Management Modeling. Agricultural Water Management. 122: 53-62.
Heidariniya, M., Naseri, A. A., Boroumandnasab, S., Moshkabadi, B. S., and Nasrolahi, A. H. 2012. Evalution of AquaCrop Model Application in Irrigation Management of Cotton.
Hussein, F., Janat, M., and Yakoub, A. 2011. Simulating Cotton Yield Response to Deficit Irrigation with the FAO AquaCrop Model. Spanish Journal of Agricultural Research. 9(4): 1319-1330.
Araya, A., Keesstra, S., and Stroosnijder, L. 2010. Simulating Yield Response to Water of Teff (< i> Eragrostis tef) with FAO's AquaCrop Model. Field Crops Research. 116(1): 196-204.
Iqbal, M. A., Shen, Y., Stricevic, R., Peia, H., Suna, H., Amiric, E., Penasd, A., and Riod, S. 2014. Evaluation of the FAO AquaCrop Model for Winter Wheat On The North China Plain Under Deficit Irrigation from Field Experiment To Regional Yield Simulation. Agricultural Water Management. 135: 61-72.
Salemi, H., Soom, M. A. M,. Lee, T. S. H., Mousavi, S. F., Ganji, A., and Yusoff, M. K. 2011. Application of AquaCrop model in Deficit Irrigation Management of Winter Wheat in Arid Region. African Journal of Agricultural Research. 6(10): 2204-2215.
Andarziana, B., Bannayan, M., Steduto, P., Mazraeh, H., Barati, M. E., and Rahnamaa, A. 2011. Validation and Testing of the Aquacrop Model Under Full and Deficit Irrigated Wheat Production in Iran. Agricultural Water Management. 100(1): 1-8.
Raes, D., Steduto, P., Hsiao, T. C., and Fereres, E. 2009. AquaCrop—The FAO Crop Model to Simulate Yield Response to Water. FAO Land and Water Division, FAO, Rome.
Steduto, P., Hsiao, T. C., and Fereres, E. 2007. On the Conservative Behavior of Biomass Water Productivity. Irrigation Science. 25(3): 189-207.
Steduto P., Raes, D., Hsiao, T. C., Fereres, E., Heng, L., Izzi, G., and Hoogeveen, J. 2009. AquaCrop: A New Model for Crop Prediction Under Water Deficit Conditions. FAO, Rome, 2009.
Allen, R. G., Pereira, L. S., Raes, D., and Smith, M. 1998. Crop Evapotranspiration-Guidelines for Computing Crop Water Requirements-FAO Irrigation and Drainage Paper 56. FAO, Rome. 300: 6541.
Raes, D., and MUNOZ, G. 2009. The ETo Calculator. Reference Manual Version, 3.
Jacovides, C. P., and Kontoyiannis, H. 1995. Statistical Procedures for the Evaluation of Evapotranspiration Computing Models. Agricultural Water Management. 27(3-4): 365-371.
Raes, D., Steduto, P., Hsiao, T. C., and Fereres, E. 2012. FAO, Land and Water Division Rome, Italy.
Amiri, E., and Rezaei, M. 2010. Evaluation of Water–Nitrogen Schemes for Rice in Iran, using ORYZA2000 Model. Communications in Soil Science and Plant Analysis. 41(20): 2459-2477.
Moriasi, D. N., Arnold, J. G., Van Liew, M. W., Bingner, R. L., Harmel, R. D., and Veith, T. L. 2007. Model Evaluation Guidelines for Systematic Quantification of Accuracy in Watershed Simulations. Trans. ASABE. 50(3): 885-900.
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