The Comparison of DSSAT-CERES and AquaCrop Models for Wheat Under Water–Nitrogen Interactions

References

• Abedinpour, M., and A. Sarangi. 2017. Evaluation of DSSAT- Ceres model for maize under different water and nitrogen levels. Pertanika J. of Science and Tech 26(4):1605–1618.
   Web of Science ®Google Scholar
• Abedinpour, M., A. Sarangi, T. B. S. Rajput, M. Singh, H. Pathak, and T. Ahmad. 2012. Performance evaluation of AquaCrop model for maize crop in a semi-arid environment. Agricultural Water Management 110:55–66. doi:10.1016/j.agwat.2012.04.001.
   Web of Science ®Google Scholar
• Ahmadi, S. H., E. Mosallaeepour, A. Kamgar-Haghighi, and A. Sepaskhah. 2015. Modeling maize yield and soil water content with AquaCrop under full and deficit irrigation managements. European Water Resources Association (EWRA) 29 (8):2837–53.
   Web of Science ®Google Scholar
• Akbari, M., H. Dehghanisanij, and S. M. Mirlatifi. 2009. Impact of irrigation scheduling on agriculture water productivity. Iranian J. Irrigation and Drainage 1:69–79.
   Google Scholar
• Amiri, A. 2016. Calibration and testing of the Aquacrop model for rice under water and nitrogen management. Communications in Soil Science and Plant Analysis 47 (3):387–403. doi:10.1080/00103624.2015.1123719.
   Web of Science ®Google Scholar
• Babel, M. S., P. Deb, and P. Soni. 2018. Performance evaluation of AquaCrop and DSSAT-CERES for maize under different irrigation and manure application rates in the Himalayan region of India. Agricultural Research 8 (2):207–17. doi:10.1007/s40003-018-0366-y.
   Web of Science ®Google Scholar
• Bao, Y., G. Hoogenboom, R. Mcclendon, and G. Vellidis. 2017. A comparison of the performance of the CSM-CERES-maize and EPIC models using maize variety trial data. Agricultural Systems 150:109–19. doi:10.1016/j.agsy.2016.10.006.
   Web of Science ®Google Scholar
• Dyke, P. T., J. R. Kiniry, and C. A. Jones. 1986. CERES-Maize: A simulation model of maize growth and development. College Station: Texas A&M University Press.
   Google Scholar
• Gebreselassie, Y., A. Mekonen, and T. Kassa. 2015. Field experimentation based simulation of yield response of maize crop to deficit irrigation using AquaCrop model, Arba Minch, Ethiopia. African Journal of Agricultural Research 10 (4):269–80. doi:10.5897/AJAR2014.8703.
   Google Scholar
• Geerts, S., and D. Raes. 2009. Deficit irrigation as an on-farm strategy to maximize crop water productivity in dry areas. Agricultural Water Management 96 (9):1275–84. doi:10.1016/j.agwat.2009.04.009.
   Web of Science ®Google Scholar
• Hassanli, M., H. Ebrahimian, E. Mohammadi, A. Rahimi, and A. Shokouhi. 2016. Simulating maize yields when irrigating with saline water, using theAquaCrop, SALTMED, and SWAP models. Agricultural Water Management 176:91–99. doi:10.1016/j.agwat.2016.05.003.
   Web of Science ®Google Scholar
• Heng, L. K., P. Moutonnet, and W. A. Baethgen, 2001. Optimization of fertilizer application for irrigated wheat systems based on an integration of crop simulation models and nuclear techniques. http://www.icasanet.org/applications/fertilizer.html.
   Google Scholar
• Hoogenboom, G., G. W. Jones, P. W. Wilkens, C. H. Porter, L. A. Hunt, J. Boote, U. Singh, O. Uryasev, J. I. Lizaso, A. J. Gijsman et al. 2010. Decision Support System for Agrotechnology Transfer (DSSAT) version 4.5.0.43 [CD-ROM]. Honolulu: University of Hawaii.
   Google Scholar
• Jianmei, J.,C., Huanjie, H., Jianqiang, and W. Hongjie. 2014. Performance evaluation of CERES-Wheat model in Guanzhong Plain of Northwest China. Agricultural Water Management 144:1–10. doi:10.1016/j.agwat.2014.04.016.
   Web of Science ®Google Scholar
• Jin, X., H. Fen, X. Zhu, Z. Li, S. Son, S. Song, X. Song, G. Yang, X. Xu, and W. Guo. 2014. Assessment of the AquaCrop model for use in simulation of irrigated winter wheat canopy cover, biomass and grain yield in north China plain. Plos One 9:1–11.
   Web of Science ®Google Scholar
• Jones, J. W., G. Hoogenboom, C. Porter, K. J. Boote, W. D. Batchelor, L. A. Hunt, P. W. Wilkens, U. Singh, A. J. Gijsman, J. T. Ritchie et al. 2003. DSSAT cropping system model. European Journal of Agronomy. 18(3–4):235–65. doi:10.1016/S1161-0301(02)00107-7.
   Web of Science ®Google Scholar
• Koushik, S., 2017. Evaluation and performance of CERES Wheat DSSAT v4.6 model for growth, development and yield of wheat in agro climatic zone (IIIA) of Bihar. Dissertation, Bihar Agricultural University pp: 247.
   Google Scholar
• Li, F., D. Yu, and Y. Zhao. 2019. Irrigation scheduling optimization for cotton based on the AquaCrop model. Water Resources Management 33 (1):24–39. doi:10.1007/s11269-018-2087-1.
   Web of Science ®Google Scholar
• Pareek, N., S. Roy, S. Saha, and A. Nain. 2017. Calibration & validation of Aquacrop model for wheat crop in Tarai region of Uttarakhand. J. Of Pharm. And Phytochemistry 6 (5):1442–45.
   Google Scholar
• Raes, D., P. Steduto, T. C. Hsiao, and E. Fereres. 2009. AquaCrop—the FAO crop model to simulate yield response to water II. Main Algorithms and Soft Ware Description. Agronomy J 101:438–47.
   Google Scholar
• Ranjbar, A., A. Rahimikhoob, H. Ebrahimian, and M. Varavipour. 2019. Assessment of the AquaCrop model for simulating maize response to different nitrogen stresses under semi-arid climate. Communications in Soil Science and Plant Analysis 50 (22):2899–912. doi:10.1080/00103624.2019.1689254.
   Web of Science ®Google Scholar
• Singh, A. K., R. Tripathy, and U. KiranChopra. 2008. Evaluation of CERES-wheat and CropSyst models for water–nitrogen interactions in wheat crop. Agricultural Water Management95 (7):776–86.
   Google Scholar
• Steduto, P., T. C. Hsiao, D. Raes, and E. Fereres. 2009. AquaCrop—the FAO crop model to simulate yield response to water I. concepts and underlying principles. Agronomy Journal 101 (3):426–37. doi:10.2134/agronj2008.0139s.
   Web of Science ®Google Scholar
• Stockle, C. O., M. Donatelli, and R. Nelson. 2003. CropSyst, a cropping systems simulation model. European Journal of Agronomy 18 (3–4):289–307. doi:10.1016/S1161-0301(02)00109-0.
   Web of Science ®Google Scholar
• Timsina, J., and E. Humphreys. 2006. Performance of CERES-Rice and CERES-Wheat models in rice–wheat systems: A review. Agricultural Systems 90 (1–3):5–31. doi:10.1016/j.agsy.2005.11.007.
   Web of Science ®Google Scholar
• Todorovic, M., R. Albrizio, R. Zivoti, L. Saab, M. T. A. Stockle, and C. Steduto. 2009. Assessment of Aqua Crop, CropSyst, and WOFOST models in the simulation of sunflower growth under different water regimes. Agronomy Journal 101 (3):509–21. doi:10.2134/agronj2008.0166s.
   Web of Science ®Google Scholar
• Wilmot, C. J. 1982. Some comments on the evaluation of model performance. The Bulletin of the American Meteorological Society (BAMS) 64 (11):1309–13. doi:10.1175/1520-0477(1982)063<1309:SCOTEO>2.0.CO;2.
   Web of Science ®Google Scholar