Abstract
Researches on the water-saving techniques in agriculture should be brought forward because of water resources shortages. The optimisation of irrigation strategies to increase water-use efficiency is an important factor in water security for the region. AquaCrop model based on FAO’s crop water productivity is used to simulate yield. In our study, the model was calibrated to the field measurements of the MATE ÖVKI Lysimeter Research Station. Four winter wheat cultivars were cultivated under non-limiting water range. Four different average yields were measured as 6.1 t/ha, 5.0 t/ha, 6.3 t/ha and 7.6 t/ha after the harvest on 6th of July 2020, respectively. The results of vegetative growth were inserted and simulated for the same climate conditions, field management, soil profile and groundwater parameters. Whereas we have achieved a yield of 6,1 t/ha 5,0 t/ha, 6,3 t/ha and 7,6 t/h with respective water productivity of 1.17 and 1.07 and 1.23 and 1.2 from the AquaCrop model schedule, respectively. In practice, water optimisation based on climate data and crop yield can help us achieve the goal. The crop cycle of the plants was a fixed value of 187 days and harvest index of 45% was used in model settings. Generation of sprinkler irrigation schedule developed from this research would provide information for farming communities to mitigate the occurrence of the adverse effect of climate change through innovative changes.
Subject
Pharmacology (medical),Complementary and alternative medicine,Pharmaceutical Science
Reference27 articles.
1. Abedinpour, M., Sarangi, A., Rajput, T. B. S. & Singh, M. (2014). Prediction of maize yield under future water availability scenarios using the AquaCrop model. The Journal of Agricultural Science 152(4), 558–574. doi: https://doi.org/10.1017/S0021859614000094
2. Andarzian, B., Bannayan, M., Steduto, P., Mazraeh, H., Barati, M., Barati, M. & Rahnama, A. (2011). Validation and testing of the AquaCrop model under full and deficit irrigated wheat production in Iran. Agricultural Water Management 100(1), 1-8. doi: https://doi.org/10.1016/j.agwat.2011.08.023
3. Brouwer, C. & Heibloem, M. (1986). Irrigation Water Management: Irrigation Water Needs (Tech. Rep.). Rome, Italy: Food and Agriculture Organization of the United Nations (FAO). Retrieved from http://www.fao.org/3/s2022e/s2022e00.htm#Contents
4. Guendouz, A., Hafsi, M., Moumeni, L., Khebbat, Z., Achiri, A., et al. (2014). Performance evaluation of aquacrop model for durum wheat (Triticum durum Desf.) crop in semi arid conditions in Eastern Algeria. International Journal of Current Microbiology and Applied Sciences 3(2), 168-176.
5. Guo, D., Olesen, J. E., Manevski, K. & Ma, X. (2021). Optimizing irrigation schedule in a large agricultural region under different hydrologic scenarios. Agricultural Water Management 245(1), 106575. doi: https://doi.org/10.1016/j.agwat.2020.106575