Deficit irrigation under water stress and salinity conditions: fao-aquacrop model

• Autorzy: Kale Celik Sema
• Języki publikacji: EN

Abstrakty

EN

In this research, estimation potential of Aquacrop model under deficit irrigation and salinity conditions were evaluated for winter wheat grown under arid and semi-arid climates. Five different irrigation strategies and irrigation water salinity levels (0.5, 5, 7.5, 10, 15 dS m-1 ) were taken with the model to estimate deficit irrigation and salinity scenarios. Wheat grain yield, biomass production and canopy cover were simulated under deficit and salinity stresses. According to estimation of the model; the deficit irrigation with water reduction of more than 75 % of full irrigation was applied at growth stages of wheat, revealed the significant reduction in grain yield, biomass and canopy cover as compared with full irrigation practice. The increase in irrigation water salinity caused a significant decrease in grain yield and biomass value. It was compared to the 0.5 dS m-1 salinity level, a low value of 3% was obtained for the 5 dS m-1 salinity level. Yield loss of 7.5, 10 and 15 dS m-1 salinity levels were found to be 18.97%, 42.5% and 85.6% respectively. Also, increasing irrigation water depth in saline treatments resulted in increased grain and biomass yield. For sustainable water management in agriculture area, using simulation model such as Aquacrop is useful tolls to estimate effect of applied water depth and quality of irrigation water on crop yield.

Słowa kluczowe

EN

aquacrop; crop yield; deficit irrigation; salinity; wheat

• Wydawca: Stowarzyszenie Infrastruktura i Ekologia Terenów Wiejskich
• Czasopismo: Infrastruktura i Ekologia Terenów Wiejskich
• Rocznik: 2022
• Tom: nr I/1
• Strony: 96--106
• Opis fizyczny: Bibliogr. 12 poz., tab., wykr.

Twórcy

autor

Kale Celik Sema

• Isparta University of Applied Science, Agriculture Faculty Agricultural Structure and Irrigation Department Isparta, Turkey

• https://orcid.org/0000-0001-8164-276X

Bibliografia

• 1. AEPI 2021: Annual Report. Agricultural Economic and Policy Development Institute. https://arastirma. tarimorman.gov.tr/tepge.
• 2. Dastranj M., Sepaskhah A.R. 2021: Efect of irrigation water salinity and defcit ırrigation on soil ıons variation and uptake by safron (Crocus Sativus L.) Under two planting methods. Journal of Plant Growth Regulation. https://doi.org/10.1007/s00344-020-10291-1.
• 3. Gowing J.W., Rose D.A., Ghamarnia H. 2009: The effect of salinity on water productivity of wheat under deficit irrigation above shallow groundwater. Agricultural Water Management 96, p.517-524.
• 4. Hammami Z., Qureshi A.S., Sahli A., Gauffreteau A., Chamekh Z., Azaiez F.A.B., Ayadi S., Trifa Y. 2020: Modeling the effects of irrigation water salinity on growth, yield and water productivity of barley in three contrasted environments. Agronomy , 10, p.1459.
• 5. Jiang J., Huo Z., Feng S.Y., KangS.Z., Wang F., Zhang C. 2013: Effects of deficit irrigation with saline water on spring wheat growth and yield in arid Northwest China. J Arid Land (2013) 5(2), p. 143-154.
• 6. Kale Celik S., Madenoglu S., Sonmez B. 2018: Evaluating Aquacrop Model for Winter Wheat under Various Irrigation Conditions in Turkey. Journal of Agricultural Sciences (24), p. 205-2017.
• 7. Kumar S.B.P. 2020: Salinity stress, its physiological response and mitigating effects of microbial bio inoculants and organic compounds. Journal of Pharmacognosy and Phytochemistry 9(4), p.1397-1303.
• 8. Maysoun M., Mabhaudhi T., Ayvari M.V., Massawe F. 2021: Transition toward sustainable food systems: a holistic pathway toward sustainable development. In Food Security and Nutrition; Galanakis, C., Ed.; Academic Press: London, UK, 2020; p. 44-45.
• 9. Mostafazadeh-Fard B., Mousavi S.F., Mansouri H., Feizi M. 2009: Effects of different levels of ırrigation water salinity and leaching on yield and yield components of wheat in an arid region. Journal of Irrigation and Drainage Engineering 135(1) p.18-22.
• 10. Raes D., Steduto P., Hsiao T.C., Fereres E. 2012: FAO crop-water productivity model to simulate yield response to water. AquaCrop Version 4.0 Reference Manual FAO Land and Water Division Publication Rome Italy.
• 11. Steduto P., Hsiao T.C., Fereres E., Raes D. 2012: Crop yield response to water. FAO Irrigation and Drainage Paper, No: 66 Rome, Italy, p. 516.
• 12. Steduto P., Hsiao T.C., Raes D., Fereres E. 2009: AquaCrop-The FAO crop model to simulate yield response to water. I. Concepts and underlying principles. Agron. J., 101, p. 426-437.

Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).