Impact of future climate change on land and water productivity for wheat crop (Wasit Governorate, Iraq)

Document Type : Research Paper

Authors

1 Al-Farahidi University, Baghdad, Iraq

2 Ministry of Resources, Baghdad, Iraq

3 College of Agriculture Engineering Sciences University of Baghdad, Iraq

10.22124/cjes.2023.7335

Abstract

In AquaCrop model was used to calibrate and verify the performance of the winter wheat crop in south of Iraq Al-Suwaira Research Station using data recorded in period 1/1/2008 and 31/12/2017. The results showed an increase in both annual and monsoon rains at the mid and end century periods for both RCP4.5 and REP8.5 scenarios implementing model GFDL-ESM2M. The annual and monsoon rains decreased in the EC-Earth model for both the RCP4.5 and RCP8.5 scenarios, while increased slightly in the CNRM-CM5 model under RCP4.5 and dropped with RCP8.5. Highest yield was recorded at the base period (2.36 ton/hectare) during the simulation period. The water productivity increased compared to the base period 2040-2050, while it was equal for both base period and the period 2020-2030 and in the RCP8.5 scenario.

Keywords


Ahmadi, SH, Mosallaeepour, E, Kamgar, AA, Ali, H & Sepaskhah, R 2015, Modeling maize yield and soil water content with AquaCrop under full and deficit irrigation management. Water Resources Management, 29: 2837-2853.
Al-Atrash, MK, Abd Algabar, FA & Abbod, LS 2023, Assessment of soil microbial properties in some regions affected by climate change. Caspian Journal of Environmental Sciences, 21: 623-628.
Amoah, LK, Darko, RO & Owusu Sekyere, JD 2013, Calibration and validation of Aqua crop for full and deficit irrigation of hot pepper. Journal of Agriculture and Biological Science, 8: 175-178.
Andarzian, B, Bannayan, M, Steduto, P, Mazraeh, H, Barati, ME, Barati, MA & Rah nama, A 2011, Validation and testing of the AquaCrop model under full and deficit irrigated wheat production in Iran. Agricultural Water Management, 100: 1-8.
Araya, A, Habtu, S, Hadgu, KM, Kebede, A & Dejene, T 2010, Test of AquaCrop model in simulating biomass and yield of water-deficient and irrigated barley (Hordeum vulgare). Agricultural Water Management, 97: 1838-1846.
Bhattacharyya, B, Biswas, R, Sujatha, K & Chiphang, DY 2021, Linear regression model to study the effects of weather variables on crop yield in manipur state. International Journal of Agricultural and Statistical Sciences, 17: 317-320.
Farahani, HJ, Izzi, G & Oweis, T, 2009, Parameterization and evaluation of the AquaCrop model for full and deficit irrigated cotton. Agronomy Journal, 101: 469-476.
Geerts, S & Raes, D 2009, Deficit irrigation as an on-farm strategy to maximize crop water productivity in dry areas. Agricultural Water Management, 96: 1275-1284.
Hamza, S, Al Mazirah, HS & Hamed, N 2021, The effect of planting date and spraying with liquid humus and their interactions on the growth of coriandrum sativuml. and its yield from oil and fruits. International Journal of Agricultural and Statistical Sciences, 17: 1297-1304.
Heng, LK, Asseng, S, Mejahed, K & Rusan, M 2007, Optimizing wheat productivity in two rainfed environments of the West Asia-North Africa region using a simulation model. European Journal Agronomy, 26: 121-129.
Heng, LK, Hsiao, TC, Evett, S, Howell, T & Steduto P 2009, Validating the FAO AquaCrop model for irrigated and water-deficient field maize. Agronomy Journal, 101: 488-498.
Hsiao, TC, Heng, LK, Steduto, P, Rojas Lara, B, Raes, D & Fereres, E 2009, AquaCrop-the FAO crop model to simulate yield response to water: III. Parameterization and testing for maize. Agronomy Journal, 101: 448-459.
Lalit, V, Sharma, S, Dagar, V & Kharinta, K 2021, Impact of national income and public expenditure on employment and its public- private sector composition in indian economy. International Journal of Agricultural and Statistical Sciences, 17: 213-222.
Levidow, L, Pimbert, M & Vanloqueren, G 2014, Agroecological research: Conforming or transforming the dominant agro-food regime. Agroecology and Sustainable Food Systems, 38: 1127-115.
Musick, JT, Jones, OR, Stewart, BA & Dusek, DA 1994, Water-yield relationships for irrigated and dry land wheat in the US Southern Plains. Agronomy Journal, 86: 980-986.
Nassif, WG, Lagenean, FHS & Al-Taai, OT 2023, Impact of vegetation cover on climate change in different regions of Iraq. Caspian Journal of Environmental Sciences, 21: 333-342.
Sezen, SM & Yazar, A 2008, The global warming impact on wheat yield in the Mediterranean climate using the Ceres-Wheat model. Agricultural Drought Assessing Monitoring and Damages Mitigation Turkish-Israel Joint Project Final Conference, 16-27 June, İzmir, Turkey, pp. 28-30.
Steven, RE & Tolk, JA 2009, Introduction: Can water use efficiency be modeled well enough to impact crop management? Agronomy Journal, 101: 423-425.
Todorovic, M, Albrizio, R, Zivotic, L, Saab, MT, Stöckle, C & Steduto P 2009, Assessment of AquaCrop CropSyst and WOFOST models in the simulation of sunflower growth under different water regimes. Agronomy Journal, 101: 509-521.
Toumi, J, Er Raki, S, Ezzahar, J, Khabba, S, Jarlan, L & Chehbouni, A 2016, Performance assessment of AquaCrop model for estimating evapotranspiration soil water content and grain yield of winter wheat in Tensift Al Haouz
  (Morocco): Application to irrigation management. Agricultural Water Management, 163: 219-235.
Trombetta A, Iacobellis V, Tarantino E & productivity and yield response model. Environmental Modelling & Software, 62: 351-360.
Zeleke, KT, Luckett, D & Cowley, R 2011, Calibration and testing of the FAO AquaCrop model for canola.  Agronomy Journal, 103: 1610-1618.
Zhang, H & Oweis T1999, Water yield relations and optimal irrigation scheduling of wheat in the Mediterranean region. Agricultural Water Management, 38: 195-211.
Gentile, F 2016, Calibration of the AquaCrop model for winter wheat using MODIS LAI images. Agricultural Water Management, 164: 304-316.
Vanuytrecht, E, Raes, D, Steduto, P, Hsiao, TC, Fereres, E, Heng, LK, Vila, MG & Moreno, PM 2014, AquaCrop:FAO’s crop water.