Modelling of moisture movement and irrigation scheduling in drip irrigated tomato using CROPWAT and HYDRUS-1D

Authors

  • NUZHAT BINT NAZIR College of Agricultural Engineering & Technology, SKUAST-Kashmir, Srinagar 191202, Jammu and Kashmir, India
  • YOGESH PANDEY College of Agricultural Engineering & Technology, SKUAST-Kashmir, Srinagar 191202, Jammu and Kashmir, India
  • SAMEERA QAYOOM Division of Agrometeorology, SKUAST-Kashmir, Srinagar 191202, Jammu and Kashmir, India
  • SUSHMITA M. DADHICH College of Agricultural Engineering & Technology, SKUAST-Jammu, Jammu 180009, Jammu and Kashmir, India

DOI:

https://doi.org/10.54386/jam.v26i2.2492

Keywords:

Crop water requirement, CROPWAT, HYDRUS-1D, Irrigation scheduling, Reference evapotranspiration, Simulation

Abstract

The irrigation systems require modernization and management by evaluating water system prerequisites precisely. A study was carried out at Srinagar during kharif 2022 to determine the crop water demands, irrigation scheduling and simulation of moisture movement under different irrigation regimes on tomato crop in open field conditions using CROPWAT and HYDRUS-1D models. The results revealed that the average crop water requirement at 100% ETC per plant per day was 0.24 l plant-1 day-1 during the initial stage, 0.37 l plant-1 day-1 during development stage, 0.85 l plant-1 day-1 during mid-stage and 0.74 l plant-1 day-1 during the end stage. Soil water content was simulated by HYDRUS-1D model in 0 to 30 cm of soil profile. Higher values (0.86 to 0.95) of coefficient of determination (R2) indicated that observed and simulated values of moisture content are highly correlated and the model predicts that lower values of mean absolute error (MAE) and root mean square error (RMSE) indicates that the HYDRUS-1D model is more accurate at simulating the movement of moisture under different irrigation regimes.

References

Anonymous, (2019). Area, production and productivity of tomato in Kashmir. Department of Agriculture, Ministry of Agriculture and Farmers Welfare, Government of India.

Azad, N., Behmanesh, J., Rezaverdinejad, V., and Tayfeh Rezaie, H. (2018). Climate change impacts modeling on winter wheat yield under full and deficit irrigation in Myandoab-Iran. Arch. Agron. Soil Sci., 64(5) : 731-746.

Cai, G., Vanderborght, J., Langensiepen, M., Schnepf, A., Hüging, H., and Vereecken, H. (2018). Root growth, water uptake, and sap flow of winter wheat in response to different soil water conditions. Hydrol. Earth Syst. Sci., 22(4): 2449-2470. https://doi.org/10.5194/hess-22-2449-2018

Dandekar, A. T., Singh, D. K., Sarangi, A., and Singh, A. K. (2018). Modelling vadose zone processes for assessing groundwater recharge in semi-arid region. Curr Sci., 114 (3): 608-618.

Jiang, S., Pang, L., Buchan, G. D., Simunek, J., Noonan, M. J., and Close, M. E. (2010). Modeling water flow and bacterial transport in undisturbed lysimeters under irrigations of dairy shed effluent and water using HYDRUS-1D. Water Res., 44(4): 1050-1061. https://doi.org/10.1016/j.watres.2009.08.039

Koech, R., & Langat, P. (2018). Improving irrigation water use efficiency: A review of advances, challenges and opportunities in the Australian context. Water., 10(12): 1771. https://doi.org/10.3390/w10121771

Kalloo, G. (Ed.). (2012). Genetic improvement of tomato (Vol. 14). Springer Science & Business Media.

Mehta, R., and Pandey, V. (2016). Crop water requirement (ETc) of different crops of middle Gujarat. J. Agrometeorol., 18(1): 83-87. https://doi.org/10.54386/jam.v18i1.906

Noreldin, T., Ouda, S., and Amer, A. (2016). Agro-climatic zoning in Egypt to improve irrigation water management. J. Water Land Dev., 31(1): 113-117. DOI: 10.1515/jwld-2016-0041.

Pandey, Y. (2023). Determination of crop-coefficients and estimation of evapotranspiration of field pea (Pisum sativum L.) using lysimeter and different reference evapotranspiration models for temperate region. J. AgriSearch., 10 (2): 94-98.

Pandey, Y., Khan, J. N., Singh, P. K. and Dadhich, S. M. (2022). Estimation of Irrigation Return Flow in Sandy-Loam Soil using Water-balance Approach. J. AgriSearch, 9 (3): 260-264.

Rattan, R. K., and Biswas, D. R. (2014). Efficient Water Management for Sustainable Agriculture. Bull. Indian Soc. Soil Sci., 29: 1-86.

Osama, S., Elkholy, M., and Kansoh, R. M. (2017). Optimization of the cropping pattern in Egypt. Alex. Eng. J., 56(4): 557-566. https://doi.org/10.1016/j.aej.2017.04.015

Simunek, J., Van Genuchten, M. T., and Sejna, M. (2016). Recent developments and applications of the HYDRUS computer software packages. Vadose Zone J., 15(7): vzj2016-04. https://doi.org/10.2136/vzj2016.04.0033

Smakhtin, V., Revenga, C., and Doll, P. (2004). A pilot global assessment of environmental water requirements and scarcity. Water int., 29(3): 307-317. https://doi.org/10.1080/02508060408691785

Sharan, G., and Jadhav, R. (2002). Design of Greenhouse Irrigation System at Kothara. Indian Institute of Management. PP.1-20.

Willmott, C. J. (1981). On the validation of models. Phys. Geogr., 2(2): 184-194. https://doi.org/10.1080/02723646.1981.10642213

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Published

01-06-2024

How to Cite

NAZIR, N. B., PANDEY, Y., QAYOOM, S., & DADHICH, S. M. (2024). Modelling of moisture movement and irrigation scheduling in drip irrigated tomato using CROPWAT and HYDRUS-1D. Journal of Agrometeorology, 26(2), 215–219. https://doi.org/10.54386/jam.v26i2.2492

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