Skip to main content

Projected Crop Coefficients Under Climate Change in Egypt

  • Chapter
  • First Online:
Climate Change Impacts on Agriculture and Food Security in Egypt

Part of the book series: Springer Water ((SPWA))

Abstract

The objective of this chapter was to quantify how climate change will affect the value of Kc for several important crops in Egypt. One way to do so is to develop a procedure to accurately estimate Kc values for 14 field crops, 7 fruit crops and 13 vegetable crops in the five agro-climatic zones of Egypt in 2030. Monthly values of evapotranspiration (ETo) in 2016 were calculated using Penman-Monteith equation (P-M) and Hargreaves-Samani equation (H-S). Then, the monthly ETo(H-S) values were regressed on monthly ETo(P-M) values, and prediction equations were developed for each agro-climatic zone of Egypt. These equations were used to project ETo values under climate change in 2030 using RCP6.0 climate change scenario resulted from MIROC5 climate change model. These values of ETo were used to run BISm model and to calculate Kc values for the studied crops, the date of each Kc growth stage and its water consumptive use in 2030. Comparison between Kc values in 2016 and 2030 for field and vegetable crops revealed that the values of Kcini were higher in 2016, compared to its counterpart values in 2030. The values of Kcmid and Kcend were similar or lower in 2016, compared to its counterpart values in 2030. Whereas, there was no change in the values of Kc for fruit crops between 2016 and 2030.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 119.00
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Rao KPC, Ndegwa WG, Kizito K, Oyoo A (2011) Climate variability and change: farmer perceptions and understanding of intra-seasonal variability in rainfall and associated risk in semi-arid Kenya. Exp Agric 47:267–291

    Article  Google Scholar 

  2. IPCC: Intergovernmental Panel on Climate Change (2007) Intergovernmental panel on climate change fourth assessment report: climate change 2007. Synthesis report. World Meteorological Organization, Geneva, Switzerland

    Book  Google Scholar 

  3. Kimball BA, Kobayashi K, Bindi M (2002) Responses of agricultural crops to free-air CO2 enrichment. Adv Agron 77:293–368

    Article  Google Scholar 

  4. El-Massah S, Omran G (2014) Would climate change affect the imports of cereals? The case of Egypt. In: Handbook of climate change adaptation. Springer-Verlag Berlin Heidelberg, Berlin

    Google Scholar 

  5. IPCC: Intergovernmental Panel on Climate Change (2013) Summary for policymakers. In: Stocker TF, Qin D, Plattner GK, Tignor M, Allen SK, Boschung J, Nauels A, Xia Y, Bex V, Midgley PM (eds) Climate change. The physical science basis. Contribution of working group I to the fifth assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA

    Google Scholar 

  6. Karmakar R, Das I, Dutta D, Rakshit A (2016) Potential effects of climate change on soil properties: a review. Sci Int 4(2):51–73

    Article  CAS  Google Scholar 

  7. Onol B, Semazzi FHM, Unal YS, Dalfes HN (2006) Regional climatic impacts of global warming over the eastern Mediterranean. In: International conference on past, present and future climate change and the Middle East, pp 20–23. Istanbul Technical University, Turkey

    Google Scholar 

  8. Abtew W, Melesse A (2013) Climate change and evapotranspiration. In: Evaporation and evapotranspiration: measurements and estimations. Springer Science Business Media, Dordrecht. https://doi.org/10.1007/978-94-007-4737-113

  9. Ouda S, Khalil F, Noreldin T (2013) Simulation of adaptation to climate change on wheat and maize in Egypt. LAMBERT Academic Publishing. ISBN: 978-3-659-44279-7

    Google Scholar 

  10. Ouda S, Noreldin T, Abd El-Latif K (2015) Water requirements for wheat and maize under climate change in North Nile Delta. Span J Agric Res 13(1):1–7

    Google Scholar 

  11. Gardner FP, Pearce RB, Mitchell RL (1985) Physiology of crop plants. Iowa State University Press, Ames, USA

    Google Scholar 

  12. Rahman A, Karim NN, Kadir N, Naher T (2015) Impacts of climate change on crop coefficient and reference crop evapotranspiration of boro rice in north-east hydrological region of Bangladesh. In: 5th international conference on water and flood management, pp 345–350

    Google Scholar 

  13. Eid H (2001) Climate change studies on Egyptian agriculture. Soils, Water and Environment Research Institute (SWERI) ARC, Ministry of Agriculture, Giza, Egypt

    Google Scholar 

  14. Attaher S, Medany M, Abdel Aziz AA, El-Gindy A (2006) Irrigation-water demands under current and future climate conditions in Egypt. In: The 14th annual conference of the MISR society of agricultural engineering, pp 1051–1063

    Google Scholar 

  15. Khalil AA (2013) Effect of climate change on evapotranspiration in Egypt. Researcher 51:7–12

    Google Scholar 

  16. Ouda S, Noreldin T, Hosny M (2016) Evapotranspiration under changing climate. In: Major crops and water scarcity in Egypt. Springer Publishing House, pp 1–22. ISBN: 978-3-319-21770-3

    Google Scholar 

  17. Snyder RL, Orang M, Bali K, Eching S (2004) Basic irrigation scheduling (BIS). http://www.waterplan.water.ca.gov/landwateruse/wateruse/Ag/CUP/Californi/Climate_Data_010804.xls

  18. Mahmoud A, Ouda S, Abd El-Hafez S (2016) High water consuming crops under control: I. Case of rice crop. In: Major crops and water scarcity in Egypt. Springer Publishing House, pp 69–82. ISBN: 978-3-319-21770-3

    Google Scholar 

  19. Noreldin T, Ouda S, Taha A (2016) Combating adverse consequences of climate change on maize crop. In: Major crops and water scarcity in Egypt. Springer Publishing House, pp 53–67. ISBN: 978-3-319-21770-3

    Google Scholar 

  20. Ouda S, Zohry AA (2016) Significance of reduction of applied irrigation water to wheat crop. In: Major crops and water scarcity in Egypt. Springer Publishing House, pp 33–50. ISBN: 978-3-319-21770-3

    Google Scholar 

  21. Taha A, Ouda S, Zohry AA (2016) High water consuming crops under control: II. Case of sugarcane crop. In: Major crops and water scarcity in Egypt. Springer Publishing House, pp 85–96. ISBN: 978-3-319-21770-3

    Google Scholar 

  22. Zohry AA, Ouda S (2016a) Crops intensification to face climate induced water scarcity in Nile Delta region. In: Management of climate induced drought and water scarcity in Egypt: unconventional solutions. Springer Publishing House. ISBN: 978-3-319-33659-6

    Google Scholar 

  23. Zohry AA, Ouda S (2016b) Upper Egypt: management of high water consumption crops by intensification. In: Management of climate induced drought and water scarcity in Egypt: unconventional solutions. Springer Publishing House. ISBN: 978-3-319-33659-6

    Google Scholar 

  24. Allen RG, Pereira LS, Raes D, Smith M (1998) Crop evapotranspiration—guidelines for computing crop water requirements. FAO irrigation and drainage paper 56. FAO, Rome, Italy, p D05109

    Google Scholar 

  25. Reddy KC, Arunajyothy S, Mallikarjuna P (2015) Crop coefficients of some selected crops of Andhra Pradesh. J Inst Eng (India) Ser A 96:123–130

    Google Scholar 

  26. Annandale JG, Stockle CO (1994) Fluctuation of crop evapotranspiration coefficients with weather. A sensitivity analysis. Irrig Sci 15:1–7

    Article  Google Scholar 

  27. Ko J, Piccinni G, Marek T, Howell T (2009) Determination of growth-stage-specific crop coefficients (Kc) of cotton and wheat. Agric Water Manag 96:1691–1697

    Article  Google Scholar 

  28. Wright JL (1982) New evapotranspiration crop coefficients. ASCE J Irrig Drain Div 108:57–74

    Google Scholar 

  29. Fujino J, Nair R, Kainuma M, Masui T, Matsuoka Y (2006) Multi-gas mitigation analysis on stabilization scenarios using AIM global model. Multi-gas mitigation and climate policy. Energy J 27:343–353

    Google Scholar 

  30. Hijioka Y, Matsuoka Y, Nishimoto H, Masui M, Kainuma M (2008) Global GHG emissions scenarios under GHG concentration stabilization targets. J Glob Environ Eng 13:97–108

    Google Scholar 

  31. Hargreaves GH, Samani ZA (1985) Reference crop evapotranspiration from temperature. Appl Eng Agric 1(2):96–99

    Article  Google Scholar 

  32. Shahidian S, Serralheiro R, Serrano J, Teixeira J, Haie N, Francisco S (2012) Hargreaves and other reduced-set methods for calculating evapotranspiration. In: Irmak A (ed) Evapotranspiration—remote sensing and modeling. In Tech. ISBN: 978-953-307-808-3. Available from: http://www.intechopen.com/books/evapotranspiration-remote-sensing-and-modeling/hargreaves-and-otherreduced-set-methods-for-calculating-evapotranspiration

  33. Ouda S, Noreldin T (2017) Evapotranspiration data to determine agro-climatic zones in Egypt. J Water Land Dev 32(I–III):79–86

    Google Scholar 

  34. Jamieson PD, Porter JR, Goudriaan J, Ritchie JT, van Keulen H, Stol W (1998) A comparison of the models AFRCWHEAT2, CERES-Wheat, Sirius, SUCROS2 and SWHEAT with measurements from wheat grown under drought. Field Crops Res 55:23–44

    Article  Google Scholar 

  35. Morsy M (2015) Use of regional climate and crop simulation models to predict wheat and maize productivity and their adaptation under climate change. PhD thesis, Faculty of Science, Al-Azhar University

    Google Scholar 

  36. Khalil FA, Farag H, El Afandi G, Ouda SA (2009) Vulnerability and adaptation of wheat to climate change in Middle Egypt. In: Proceeding of the 13th international conference on water technology, Egypt, 12–15 Mar

    Google Scholar 

  37. Ouda SA, Khalil FA, Yousef H (2009) Using adaptation strategies to increase water use efficiency for maize under climate change conditions. In: Proceeding of 13th international conference on water technology, Egypt

    Google Scholar 

  38. Ouda S (2019) Accurate estimation of crop coefficients for better irrigation water management in Egypt. In: Technological and modern irrigation environment in Egypt: best management practices & evaluation (in press)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Samiha Ouda .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Ouda, S. (2020). Projected Crop Coefficients Under Climate Change in Egypt. In: Ewis Omran, ES., Negm, A. (eds) Climate Change Impacts on Agriculture and Food Security in Egypt. Springer Water. Springer, Cham. https://doi.org/10.1007/978-3-030-41629-4_13

Download citation

Publish with us

Policies and ethics