Determination of Evapotranspiration and Optimum Irrigation Schedule for Cotton in Çukurova Region Using CROPWAT Model

Authors

  • Usman Muhammad Umar Nigde Omer Halisdemir University, Faculty of Agricultural Sciences and Technologies, Department of Plant Production and Technology, Nigde 51240, Türkiye https://orcid.org/0009-0003-6491-1217
  • Burak Şen Nigde Omer Halisdemir University, Faculty of Agricultural Sciences and Technologies, Department of Biosystems Engineering, Nigde 51240, Türkiye https://orcid.org/0000-0001-8105-1106
  • Zeynep Ünal Nigde Omer Halisdemir University, Faculty of Agricultural Sciences and Technologies, Department of Biosystems Engineering, Nigde 51240, Türkiye https://orcid.org/0000-0002-9954-1151

DOI:

https://doi.org/10.24925/turjaf.v13i5.1146-1151.7287

Keywords:

CROPWAT, Evapotranspiration (ETo), Net Irrigation (NIR), Effective rainfall, Crop yield

Abstract

The agriculture sector is actively looking for the most effective ways to manage water resources. Proper water management is crucial for increasing agricultural productivity and optimizing the region’s water usage efficiency. The purpose of this study was for estimating the irrigation water requirement, reference and crop evapotranspiration and irrigation schedule for cotton in Çukurova region over a 31-year period (1990-2020) using the CROPWAT model. To ensure appropriate water utilization and planning, information regarding the climate data was obtained from the Adana station of Turkish State Meteorology Service. The soil and crop data were sourced from Turkey’s directorate of agricultural research and policies. The dates, amounts, effective rainfall, net irrigation requirement (NIR), and yield decrease for rainfed and different irrigated conditions were all calculated using the CROPWAT 8.0 model. The findings indicated that the average reference evapotranspiration (ETo), crop evapotranspiration (ETc) for cotton and effective rainfall were 918.9 mm, 809.5 mm, and 149.4 mm respectively. It was also estimated that the dates of irrigation after planting (DAP) were 72 days, 101 days, 131 days and 170 days. The total quantity of water utilized for irrigation throughout the growing season at critical depletion and user defined were 700 mm and 545 mm respectively, thus 155 mm of water was saved (22%). Data of maximum crop yield obtained at critical depletion by CROPWAT was associated with data from Turkish Statistical Institute (TUIK) (2014-2020) and TUIK data is compared with CROPWAT data which was estimated under rainfed condition. According to the result 51% of yield reduction was simulated when irrigation was not applied.

Author Biographies

Burak Şen, Nigde Omer Halisdemir University, Faculty of Agricultural Sciences and Technologies, Department of Biosystems Engineering, Nigde 51240, Türkiye

Assistant Professor

Zeynep Ünal, Nigde Omer Halisdemir University, Faculty of Agricultural Sciences and Technologies, Department of Biosystems Engineering, Nigde 51240, Türkiye

Associate Professor

References

Allen, R.G.; Pereira, L.S.; Raes, D.; Smith, M. Crop Evapotranspiration-Guidelines for computing crop water requirements—FAO Irrigation and drainage paper 56. FAO 1998, https://www.researchgate.net/publication/290988983_Crop_evapotranspiration_guidelines_for_computing_crop_requirements_FAO_Irrig_Drain_Report_modeling_and_application

Balasaheb, K. S., & Biswal, S. (2020). Study of crop evapotranspiration and irrigation scheduling of different crops using Cropwat model in Waghodia region, India. International Journal of Current Microbiology and Applied Sciences, 9(5), 3208–3220. https://doi.org/10.20546/ijcmas.2020.905.381

Chandra, R., & Kumari, S. (2021). Estimation of crop water requirement for rice- wheat and rice- maize cropping system using CROPWAT model for Pusa, Samastipur district, Bihar. Journal of AgriSearch, 8(2), 143–148. https://doi.org/10.21921/jas.v8i2.7299

Chitu, Z., Tomei, F., Villani, G., Di Felice, A., Zampelli, G., Paltineanu, I. C., Visinescu, I., Dumitrescu, A., Bularda, M., Neagu, D., Costache, R., & Luca, E. (2020). Improving irrigation scheduling using MOSES Short-Term irrigation Forecasts and in situ water resources measurements on alluvial soils of Lower Danube Floodplain, Romania. Water, 12(2), 520. https://doi.org/10.3390/w12020520

Eck, M. A., Murray, A. R., Ward, A. R., & Konrad, C. E. (2020). Influence of growing season temperature and precipitation anomalies on crop yield in the southeastern United States. Agricultural and Forest Meteorology, 291, 108053. https://doi.org/10.1016/j.agrformet.2020.108053

Ewaid, N., Abed, N., & 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

Gabr, M. E., & Fattouh, E. M. (2021). Assessment of irrigation management practices using FAO-CROPWAT 8, case studies: Tina Plain and East South El-Kantara, Sinai, Egypt. Ain Shams Engineering Journal/Ain Shams Engineering Journal, 12(2), 1623–1636. https://doi.org/10.1016/j.asej.2020.09.017

Khan, M. J., Malik, A., Rahman, M., Afzaal, M., & Mulk, S. (2021). Assessment of crop water requirement for various crops in Peshawar, Pakistan using CROPWAT model. Irrigation & Drainage Systems Engineering, 10(9), 1–10. https://doi.org/10.37421/2168-9768.2021.10.287

Kibret, E. A., Abera, A., Ayele, W. T., & Alemie, N. A. (2021). Performance evaluation of surface irrigation system in the case of DIRMA Small-Scale Irrigation Scheme at Kalu Woreda, Northern Ethiopia. Water Conservation Science and Engineering, 6(4), 263–274. https://doi.org/10.1007/s41101-021-00119-8

Mikail, N., & Baran, M. F. (2021). Application of artificial intelligence methods to predict cotton production in Turkey. Türk Tarım Ve Doğa Bilimleri Dergisi, 8(4), 1018–1027. https://doi.org/10.30910/turkjans.947978

Reddy, M., Ganachari, A., & K, L. (2020). Estimating reference evapotranspiration using CROPWAT model at Raichur region Karnataka. Deleted Journal, 9(5), 226–231. https://www.thepharmajournal.com/archives/2020/vol9issue5/PartE/9-2-108-282.pdf

Şen, B. (2023). Determining the Changing Irrigation Demands of Maize Production in the Cukurova Plain under Climate Change Scenarios with the CROPWAT Model. Water, 15(24), 4215. https://doi.org/10.3390/w15244215

TAGEM. Türkiye’de sulanan bitkilerin bitki su tüketimi rehberi; T.C. Gıda, Tarım ve Hayvancılık Bakanlı˘gı Tarımsal Arastırmalar ve Politikalar Genel Müdürlü˘gü (TAGEM) Yayınları: Ankara, Türkiye, 2017; p. s40. Available online: https://www.tarimorman.gov.tr/TAGEM/Belgeler/yayin/Türkiyede Sulanan Bitkilerin Bitki Su Tüketimleri.pdf (accessed on 28 June 2024)

Water in Agriculture. (2020) World Bank. Available Online: https://www.worldbank.org/en/topic/water-in-agriculture (Accessed: 04 July 2024).

Yılmaz, S. B., & Gören, H. K. (2024). Trend analysis of cotton production and trade. International Journal of Agriculture Environment and Food Sciences, 656–662. https://doi.org/10.31015/jaefs.2024.3.19

Downloads

Published

21.05.2025

How to Cite

Umar, U. M., Şen, B., & Ünal Z. (2025). Determination of Evapotranspiration and Optimum Irrigation Schedule for Cotton in Çukurova Region Using CROPWAT Model. Turkish Journal of Agriculture - Food Science and Technology, 13(5), 1146–1151. https://doi.org/10.24925/turjaf.v13i5.1146-1151.7287

Issue

Section

Research Paper