Modeling Irrigation Practices for Major Crops in the Tajiki Canal Command Area of Afghanistan
DOI:
https://doi.org/10.66546/aijs.v2i3.77Keywords:
CROPWAT, Crop water productivity, Crop water requirements, Irrigation scheduling, Water supplyAbstract
A research study was conducted in the service area of the Tajiki Canal in Kabul, Afghanistan, to assess water management practices, including water supply, crop water requirements, cropping patterns, crop water productivity, and irrigation scheduling. Irrigation supply was measured using a rectangular weir installed at the canal intake. The site was surveyed, and reference marks were placed 1.2 m upstream of the weir to record daily water levels, which were converted into discharge values. Cropping patterns were mapped using a Global Positioning System (GPS), while crop water requirements were estimated using the CROPWAT model. Irrigation scheduling was evaluated through CROPWAT simulations and field data collected using a structured proforma. We measured the irrigation depth applied to individual fields using a cut-throat flume. The results showed that grape was the dominant crop, occupying 16% of the cultivable command area, followed by wheat (15%), tomato (6%), and apple (5%). Crop water requirements for all crops, except wheat, increased progressively and peaked in July. The maximum water requirements for grape, wheat, tomato, and apple were 7.04, 6.31, 10.29, and 10.19 mm/day, respectively. Irrigation supply was generally lower than crop demand, exceeding it only in July and August, while relative water supply ranged from 0.3 to 1.16. The average crop water productivity of tomato ranged from 5.13 to 5.59 kg/m³, whereas grape productivity declined from 1.99 kg/m³ at the head to 1.82 kg/m³ at the tail. Traditional irrigation scheduling largely matched CROPWAT estimates, although local practices applied 153 mm of water to grapes compared to 106 mm estimated by the model.
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Abdelraouf, R. E., Abdou, M. A., Bakr, A., Hamza, A. E., Rashad, Y. M., Abd-ElGawad, A. M., Hafez, M., & Ragab, R. (2024). Enhancing tomato production by using non-conventional water resources within integrated sprinkler irrigation systems in arid regions. Atmosphere, 15(6), 722. https://doi.org/10.3390/atmos15060722 DOI: https://doi.org/10.3390/atmos15060722
Ado, S. G., & Abubakar, A. S. (2024). Towards self-sufficient agriculture in Afghanistan: A review of enhancements and challenges. Journal of Natural Science Review, 2(Special. Issue), 316-331. https://doi.org/10.62810/jnsr.v2iSpecial.Issue.135 DOI: https://doi.org/10.62810/jnsr.v2iSpecial.Issue.135
Al-Najar, H. (2011). The integration of FAO-CropWat model and GIS techniques for estimating irrigation water requirement and its application in the Gaza Strip. Natural Resources, 2(3), 146. http://www.scirp.org/journal/nr DOI: https://doi.org/10.4236/nr.2011.23020
An, S., Yang, F., Yang, Y., Huang, Y., Zhangzhong, L., Wei, X., & Yu, J. (2022). Water Demand Pattern and Irrigation Decision-Making Support Model for Drip-Irrigated Tomato Crop in a Solar Greenhouse. Agronomy, 12(7), 1668. https://doi.org/10.3390/agronomy12071668 DOI: https://doi.org/10.3390/agronomy12071668
Atroosh, K. B., Mukred, A. W. O., & Moustafa, A. T. (2013). Water requirement of grape (Vitis vinifera) in the northern highlands of Yemen. Journal of Agricultural Science, 5(4), 136. http://dx.doi.org/10.5539/jas.v5n4p136 DOI: https://doi.org/10.5539/jas.v5n4p136
Aydın, Y. (2022). Quantification of water requirement of some major crops under semi-arid climate in Turkey. PeerJ, 10, e13696. https://doi.org/10.7717/peerj.13696 DOI: https://doi.org/10.7717/peerj.13696
Azami, A., Sagin, J., Sadat, S. H., & Hejran, H. (2020). Sustainable irrigation: Karez system in Afghanistan. Central Asian Journal of Water Research, 6(2), 65-86. 10.29258/CAJWR/2020-R1.v6-2/1-18.eng DOI: https://doi.org/10.29258/CAJWR/2020-R1.v6-2/1-18.eng
Benavides, J., Hernández-Plaza, E., Mateos, L., & Fereres, E. (2021). A global analysis of irrigation scheme water supplies in relation to requirements. Agricultural Water Management, 243, 106457. https://doi.org/10.1016/j.agwat.2020.106457 DOI: https://doi.org/10.1016/j.agwat.2020.106457
Bhausaheb, D. K., Balasaheb, K. S., & Vishwanath, M. M. (2021). Study of crop water requirement and irrigation scheduling of major crops grown in Ahmednagar district. Multilogic Sci, 10(36), 1710-1716.
Doorenbos, J., Kassam, A. H., & Bentvelsen, C. (1979). Yield response to water, irrigation and drainage. Rome: FAO. DOI: https://doi.org/10.1016/B978-0-08-025675-7.50021-2
El-Shafei, A. A., & Mattar, M. A. (2022). Irrigation scheduling and production of wheat with different water quantities in surface and drip irrigation: field experiments and modelling using CROPWAT and SALTMED. Agronomy, 12(7), 1488. https://doi.org/10.3390/agronomy12071488 DOI: https://doi.org/10.3390/agronomy12071488
Er-Raki, S., Chehbouni, A., & Duchemin, B. (2010). Combining satellite remote sensing data with the FAO-56 dual approach for water use mapping in irrigated wheat fields of a semi-arid region. Remote Sensing, 2(1), 375-387. https://doi.org/10.3390/rs2010375 DOI: https://doi.org/10.3390/rs2010375
Ertek, A. (2011). Importance of pan evaporation for irrigation scheduling and proper use of crop-pan coefficient (Kcp), crop coefficient (Kc) and pan coefficient (Kp). African Journal of Agricultural Research, 6(32), 6706-6718. DOI: https://doi.org/10.5897/AJAR11.1522
Ewaid, S. H., Abed, S. A., & Al-Ansari, N. (2019). Crop water requirements and irrigation schedules for some major crops in Southern Iraq. Water, 11(4), 756. https://doi.org/10.3390/w11040756 DOI: https://doi.org/10.3390/w11040756
Food and Agriculture Organization (FAO). (1998). Crop evapotranspiration: Guidelines for computing crop water requirements (FAO Irrigation and Drainage Paper No. 56). Rome: FAO.
Food and Agriculture Organization (FAO). (2023). FAOSTAT database: Arable land area of Afghanistan. Rome, Italy: FAO.
Frenken, K. (2013). Irrigation in Central Asia in figures: AQUASTAT Survey-2012. https://openknowledge.fao.org/handle/20.500.14283/i3289e
Gabr, M. E. (2023). Impact of climatic changes on future irrigation water requirement in the Middle East and North Africa's region: a case study of upper Egypt. Applied Water Science, 13(7), 158. https://doi.org/10.1007/s13201-023-01961-y DOI: https://doi.org/10.1007/s13201-023-01961-y
Gilanipour, J., & Gholizadeh, B. (2016). Prediction of rice water requirement using FAO-CROPWAT model in North Iran under future climate change. http://dx.doi.org/10.20944/preprints201610.0134.v1 DOI: https://doi.org/10.20944/preprints201610.0134.v1
Gocic, M., & Trajkovic, S. (2014). Analysis of trends in reference evapotranspiration data in a humid climate. Hydrological Sciences Journal, 59(1), 165-180. https://doi.org/10.1080/02626667.2013.798659 DOI: https://doi.org/10.1080/02626667.2013.798659
Hussainzada, W., & Lee, H. S. (2022). Effect of an improved agricultural irrigation scheme with a hydraulic structure for crop cultivation in arid northern Afghanistan using the Soil and Water Assessment Tool (SWAT). Scientific reports, 12(1), 5186. https://doi.org/10.1038/s41598-022-09318-2 DOI: https://doi.org/10.1038/s41598-022-09318-2
Iqbal, R., Raza, M. A. S., Rashid, M. A., Toleikiene, M., Ayaz, M., Mustafa, F., Ahmed, M. Z., Hyder, S., Rahman, M. H. U., Ahmad, S., & Aslam, M. U. (2021). Partial root zone drying irrigation improves water use efficiency but compromise the yield and quality of cotton crop. Communications in Soil Science and Plant Analysis, 52(13), 1558-1573. https://doi.org/10.1080/00103624.2021.1892720 DOI: https://doi.org/10.1080/00103624.2021.1892720
Jovanovic, N., Pereira, L. S., & Paredes, P. (2021). Updates and advances to the FAO56 crop water requirements method. http://hdl.handle.net/10566/6104 DOI: https://doi.org/10.1016/j.agwat.2020.106697
Khan, M. J., Malik, A., Rahman, M., Afzaal, M., & Mulk, S. (2019). Assessment of crop water requirement for various crops in Peshawar, Pakistan using CROPWAT model. Irrig. Drain. Syst, 10(9).
Khan, Z. A., Imran, M., Umer, J., Ahmed, S., Diemuodeke, O. E., & Abdelatif, A. O. (2021). Assessing Crop Water Requirements and a Case for Renewable-Energy-Powered Pumping System for Wheat, Cotton, and Sorghum Crops in Sudan. Energies, 14(23), 8133. https://doi.org/10.3390/en14238133 DOI: https://doi.org/10.3390/en14238133
Khiavi, A. N., Vafakhah, M., & Sadeghi, S. H. (2024). Application of strategic planning and multi-objective decision-making models in integrated watershed management: A case study in the Cheshmeh-Kileh Watershed, Iran. Journal of hydrology, 631, 130690. https://doi.org/10.1016/j.jhydrol.2024.130690 DOI: https://doi.org/10.1016/j.jhydrol.2024.130690
Knežević, M., Perović, N., Zivotic, L., Ivanov, M., & Topalović, A. (2013). Simulation of winter wheat water balance with CROPWAT and ISAREG models. Agriculture & Forestry, 59(1), 41-53.
Konar, A., & Dey, G. (2015). A study on growth of irrigated area under groundwater in some districts of West Bengal in India. International Journal of Ecosystem, 5(5). DOI: 10.5923/c.ije.201501.18
Laouisset, M. B., & Dellal, A. (2016). Estimation of barley (Hordeum vulgare L.) crop water requirements using CROPWAT software in Ksar-Chellala Region, Algeria. Agris on-line Papers in Economics and Informatics, 8(3), 91-102. https://doi.org/10.22004/ag.econ.245887 DOI: https://doi.org/10.7160/aol.2016.080309
Mahmoud, S. H., Ati, A. S., & Majeed, S. S. (2024). Calculating water productivity using the portal WaPOR. In IOP Conference Series: Earth and Environmental Science (Vol. 1371, No. 8, p. 082039). https://doi.org/10.1088/1755-1315/1371/8/082039 DOI: https://doi.org/10.1088/1755-1315/1371/8/082039
Masia, S., Trabucco, A., Spano, D., Snyder, R. L., Sušnik, J., & Marras, S. (2021). A modelling platform for climate change impact on local and regional crop water requirements. Agricultural Water Management, 255, 107005. https://doi.org/10.1016/j.agwat.2021.107005 DOI: https://doi.org/10.1016/j.agwat.2021.107005
Murtaza, G., Saqib, M., Zia-ur-Rehman, M., Naveed, M., & Ghafoor, A. (2020). Mitigation of Climate Change Impacts Through Treatment and Management of Low Quality Water for Irrigation in Pakistan. In Environmental and Agricultural Informatics: Concepts, Methodologies, Tools, and Applications (pp. 1181-1198). IGI Global. DOI: 10.4018/978-1-5225-9621-9.ch053 DOI: https://doi.org/10.4018/978-1-5225-9621-9.ch053
N'guessan, K. J. Y., Adahi, B., Konan-Waidhet, A. B., Masayoshi, S., & Assidjo, N. E. (2023). Assessment of climate change impact on water requirement and rice productivity. Rice Science, 30(4), 276-293. https://doi.org/10.1016/j.rsci.2023.03.010 DOI: https://doi.org/10.1016/j.rsci.2023.03.010
Pereira, L. S., Paredes, P., Melton, F., Johnson, L., Wang, T., López-Urrea, R., ... & Allen, R. G. (2020). Prediction of crop coefficients from fraction of ground cover and height. Background and validation using ground and remote sensing data. Agricultural Water Management, 241, 106197. https://doi.org/10.1016/j.agwat.2020.106197 DOI: https://doi.org/10.1016/j.agwat.2020.106197
Rahmani, H., & Abid, M. O. (2024). Agriculture Water Management is an Important Approach for Mitigating the Effects of Climate Change in Afghanistan. Nangarhar University International Journal of Biosciences, 528-531. https://doi.org/10.70436/nuijb.v3i02.290 DOI: https://doi.org/10.70436/nuijb.v3i02.290
Rahmani, H., & Azizi, N. M. (2024). Innovative Approaches for Afghanistan's Agricultural Water Management. Journal of Natural Science Review, 2(Special. Issue), 64-71. https://doi.org/10.62810/jnsr.v2iSpecial.Issue.116 DOI: https://doi.org/10.62810/jnsr.v2iSpecial.Issue.116
Rallo, G., González-Altozano, P., Manzano-Juárez, J., & Provenzano, G. (2017). Using field measurements and FAO-56 model to assess the eco-physiological response of citrus orchards under regulated deficit irrigation. Agricultural water management, 180, 136-147. https://doi.org/10.1016/j.agwat.2016.11.011 DOI: https://doi.org/10.1016/j.agwat.2016.11.011
Rohila, J. S., Gealy, D. R., Jackson, A. K., & Ziska, L. H. (2024). Assessment of outcrossing potential between cultivated and weedy rice under alternate wetting and drying irrigation management. Agronomy Journal, 116(4), 1903-1916. https://doi.org/10.1002/agj2.21594 DOI: https://doi.org/10.1002/agj2.21594
Selmy, S. A., Jimenez-Ballesta, R., Kucher, D. E., Sayed, A. S., García-Navarro, F. J., Yang, Y., & Yousif, I. A. (2024). Land suitability assessment and crop water requirements for twenty selected crops in an arid land environment. Agronomy, 14(11), 2601. https://doi.org/10.3390/agronomy14112601 DOI: https://doi.org/10.3390/agronomy14112601
Shah, S. A., Jehanzaib, M., Yoo, J., Hong, S., & Kim, T. W. (2022). Investigation of the effects of climate variability, anthropogenic activities, and climate change on streamflow using multi-model ensembles. Water, 14(4), 512. https://doi.org/10.3390/w14040512 DOI: https://doi.org/10.3390/w14040512
Shaloo, B. H., Sarangi, A., Prajapati, V. K., Mishra, A. K., & Singh, M. (2021). Water Requirement and its Trend for Rice and Wheat Crops in Haryana State, India. Int. J. Curr. Microbiol. App. Sci, 10(02), 203-209. DOI: https://doi.org/10.20546/ijcmas.2021.1002.025
Sharma, U. C., Datta, M., & Sharma, V. (2023). Land use and management. In Soils in the Hindu Kush Himalayas: Management for agricultural land use (pp. 295-462). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-031-11458-8_7 DOI: https://doi.org/10.1007/978-3-031-11458-8_7
Solangi, G. S., Shah, S. A., Alharbi, R. S., Panhwar, S., Keerio, H. A., Kim, T. W., Memon, J. A., & Bughio, A. D. (2022). Investigation of irrigation water requirements for major crops using CROPWAT model based on climate data. Water, 14(16), 2578. https://doi.org/10.3390/w14162578 DOI: https://doi.org/10.3390/w14162578
Sun, X., Zhang, B., Dai, M., Gao, R., Jing, C., Ma, K., Gu, S., Gu, L., Zhen, W., & Gu, X. (2024). Research on methods for estimating reference crop evapotranspiration under incomplete meteorological indicators. Frontiers in Plant Science, 15, 1354913. https://doi.org/10.3389/fpls.2024.1354913 DOI: https://doi.org/10.3389/fpls.2024.1354913
Surendran, U., Sushanth, C. M., Mammen, G., & Joseph, E. J. (2015). Modelling the crop water requirement using FAO-CROPWAT and assessment of water resources for sustainable water resource management: A case study in Palakkad district of humid tropical Kerala, India. Aquatic Procedia, 4, 1211-1219. https://doi.org/10.1016/j.aqpro.2015.02.154 DOI: https://doi.org/10.1016/j.aqpro.2015.02.154
Taraky, Y. M., McBean, E., Binns, A., & Gharabaghi, B. (2024). Advancing water security and agricultural productivity: A case study of transboundary cooperation opportunities in the Kabul river basin. Environments, 11(11), 253. https://doi.org/10.3390/environments11110253 DOI: https://doi.org/10.3390/environments11110253
TR, J., Reddy, N. S., & Acharya, U. D. (2023). Modeling daily reference evapotranspiration from climate variables: assessment of bagging and boosting regression approaches. Water resources management, 37(3), 1013-1032. https://doi.org/10.1007/s11269-022-03399-4 DOI: https://doi.org/10.1007/s11269-022-03399-4
Ucar, Y., Kocięcka, J., Liberacki, D., & Rolbiecki, R. (2023). Analysis of crop water requirements for apple using dependable rainfall. Atmosphere, 14(1), 99. https://doi.org/10.3390/atmos14010099 DOI: https://doi.org/10.3390/atmos14010099
World Bank. (2021). Reliable irrigation boosts crop yields and diversity in Kabul Province. World Bank Feature Story.
World Bank. (2023). Agriculture value added (% of GDP) and Employment in agriculture (% of total employment) – Afghanistan. World Bank Development Indicators.
World Bank. (2023). Arable land (hectares) – Afghanistan. World Bank Development Indicators.
World Bank. (2024). Arable land (hectares) – Afghanistan. World Development Indicators. https://data.worldbank.org/indicator/AG.LND.ARBL.HA?locations=AF
Zhang, Y., Wang, Y., & Niu, H. (2019). Effects of temperature, precipitation and carbon dioxide concentrations on the requirements for crop irrigation water in China under future climate scenarios. Science of the Total Environment, 656, 373-387. https://doi.org/10.1016/j.scitotenv.2018.11.362 DOI: https://doi.org/10.1016/j.scitotenv.2018.11.362
Zhong ShouQin, Z. S., Zhang WeiHua, Z. W., Lv JiaKe, L. J., & Wei ChaoFu, W. C. (2014). Temporal variation of soil water and its influencing factors in hilly area of Chongqing, China. http://www.ijabe.org/
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