Assessment of wheat yields under climate change based on RCA4 model simulations in Tiaret region, Algeria

Authors

  • SABRINA TAIBI Protection and preservation of water resources laboratory (PPRE), Blida 1 university, Blida, Algeria.
  • ZEKARI MOHAMMEDI Agricultural water management laboratory (LMEA), National Higher School of Agronomy (ENSA), ES16.03, Dept. of Agricultural Engineering, Algiers, Algeria.
  • MOHAMED AMINE FEDDAL Agricultural water management laboratory (LMEA), National Higher School of Agronomy (ENSA), ES16.03, Dept. of Agricultural Engineering, El Harrach, Algeria.
  • RIMA LABAD

DOI:

https://doi.org/10.54386/jam.v27i2.2900

Keywords:

Climate change, Regional climate model, Wheat yield, Multiple regression model, Algeria

Abstract

This study focuses on analyzing the effects of rainfall and temperature variability on wheat production in the Tiaret region of Algeria and evaluating the future climate change and its impact on winter wheat yields. We analyzed the temporal variability of rainfall, temperatures and wheat yield using long term data. The future climate change projection data for two projected periods (2021-2050 and 2071-2099), under two representative concentration pathways (RCP 4.5 and RCP 8.5) were obtained from the Africa-Cordex regional climate model. The Pettitt test highlighted a decrease of 30% in annual rainfall during 1950-2020 and an increase of 1.3°C in maximum temperature from 1980 to 2020. The Pearson coefficient correlation showed a significant positive correlation between yields and mean rainfall and a negative significant correlation with maximum temperature. Future average yields estimated by linear regression with rainfall and temperature showed that the yields will drop by 20% if no adaptation measures are undertaken.

References

Aravind, K. S., Vashisth, A., Krishanan, P., and Das, B. (2022). Wheat yield prediction based on weather parameters using multiple linear, neural network and penalised regression models. J. Agrometeorol., 24(1): 18-25. https://doi.org/10.54386/jam.v24i1.1002

Beauvais, F., Cantat, O., Madeline, P., Le Gouée, P., Brunel-Muguet, S., and Medjkane, M. (2019). Quelles conséquences du changement climatique sur le blé tendre en Normandie aux horizons 2050 et 2100 ? Étude d’impact prospective à partir du modèle ALADIN-Climat. Climatologie, 16: 129-160.

Dadhwal, V. K., and Bhat, Y. (2023). Revisiting statistical spectral-agrometeorological wheat yield models for Punjab using MODIS EVI and NCMRWF re-analysis temperature data. J. Agrometeorol., 25(1): 10-17. https://doi.org/10.54386/jam.v25i1.2067

Eruygur, O., and Özokcu, S. (2016). Impacts of climate change on wheat yield in Turkey: A heterogeneous panel study. Ekon. Yaklasim, 27(101): 219-255.

FAO. (2021). The State of Food Security and Nutrition in the World 2021: Transforming food systems for food security, improved nutrition, and affordable healthy diets for all. Rome: Food and Agriculture Organization of the United Nations.

Fashoto, S. G., Mbunge, E., Ogunleye, G., and den Burg, J. V. (2021). Implementation of machine learning for predicting maize crop yields using multiple linear regression and backward elimination. Malays. J. Comput., 6(1): 679-697.

Gammans, M., Mérel, P., and Ortiz-Bobea, A. (2017). Negative impacts of climate change on cereal yields: statistical evidence from France. Environ. Res. Lett., 12(5), 054007.

Godfray, H. C. J., Beddington, J. R., Crute, I. R., Haddad, L., Lawrence, D., Muir, J. F., and Toulmin, C. (2010). Food security: the challenge of feeding 9 billion people. Science, 327(5967), 812-818.

Gupta, S., Vashisth, A., Krishnan, P., Lama, A., Prasad, S., and Aravind, K. S. (2022). Multistage wheat yield prediction using hybrid machine learning techniques. J. Agrometeorol., 24(4) : 373-379. https://doi.org/10.54386/jam.v24i4.1835

Howden, S. M., Soussana, J. F., Tubiello, F. N., Chhetri, N., Dunlop, M., and Meinke, H. (2007). Adapting agriculture to climate change. Proc. Natl. Acad. Sci., 19691-19696.

IPCC. (2021). Climate Change 2021: The Physical Science Basis. Cambridge University Press.

Knox, J., Hess, T., Daccache, A., and Wheeler, T. (2012). Climate change impacts on crop productivity in Africa and South Asia. Environ. Res. Lett., 7(3), 034032.

MADR (2022). Algerian Ministry of Agriculture and Rural Development.. Agricultural Statistics. http://madrp.gov.dz/agriculture/statistiques-agricoles/.21/04/2022.

Meddi, M. M., Assani, A. A., and Meddi, H. (2010). Temporal variability of annual rainfall in the Macta and Tafna catchments, Northwestern Algeria. Water Resour. Manag., 24, 3817-3833.

Pettitt, A. N. (1979). A non-parametric approach to the change-point problem. Appl. Stat., 28, 126-135.

Singh, M. C., Pal, V., Singh, S. P., and Satpute, S. (2021). Wheat yield prediction in relation to climatic parameters using statistical model for Ludhiana district of central Punjab. J. Agrometeorol., 23(1), 122-126. https://doi.org/10.54386/jam.v23i1.97

Taibi, S., Meddi, M., Mahé, G., and Assani, A. (2017). Relationships between atmospheric circulation indices and rainfall in Northern Algeria and comparison of observed and RCM-generated rainfall. Theor. Appl. Climatol., 127, 241-257.

Taïbi, S., Zeroual, A., and Meddi, M. (2022). Effect of autocorrelation on temporal trends in air temperature in Northern Algeria and links with teleconnection patterns. Theor. Appl. Climatol., 147, 959-984.

Tripathi, A., Tripathi, D. K., Chauhan, D. K., Kumar, N., and Singh, G. S. (2016). Paradigms of climate change impacts on some major food sources of the world: a review on current knowledge and future prospects. Agric. Ecosyst. Environ., 216, 356-373.

Wang, J., Vanga, S. K., Saxena, R., Orsat, V., and Raghavan, V. (2018). Effect of climate change on the yield of cereal crops: A review. Climate, 6(2), 41.

Zeroual, A., Assani, A. A., and Meddi, M. (2017). Combined analysis of temperature and rainfall variability as they relate to climate indices in Northern Algeria over the 1972–2013 period. Hydrol. Res., 48(2), 584-595.

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Published

01-06-2025

How to Cite

TAIBI, S., MOHAMMEDI, Z., FEDDAL, M. A., & LABAD, R. (2025). Assessment of wheat yields under climate change based on RCA4 model simulations in Tiaret region, Algeria. Journal of Agrometeorology, 27(2), 139–143. https://doi.org/10.54386/jam.v27i2.2900

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