Exploring the nexus of grain production and climate variability under nitrogen and hydrothermal regimes using CERES-wheat model
DOI:
https://doi.org/10.54386/jam.v26i3.2560Keywords:
Grain yield, CERES-wheat, Climate variability, Climate change, CO2 concentration, Sensitivity analysisAbstract
Field experiment was conducted at Punjab Agricultural University, Bathinda from 2017-18 to 2019-20 to evaluate the growth and yield of wheat under varying sowing dates (Nov. 15, Nov. 30 & Dec 15), irrigation regimes (IW: CP = 0.6, 0.8, & 1.0), and nitrogen levels 80% RDN, RDN & 120% RDN). Timely sowing (15 November) resulted in significantly highest grain yield (5090 kg ha-1) and delay in sowing caused reduction in yield by 2.83 % and 9.91 % in crop sown on 30 November and 15 December respectively. Yield and yield attributes were found to increase with increase in irrigation and nitrogen levels. The highest yield was achieved with 15 November sowing, IW: CPE ratio 1.0 and 120% RDN. The sensitivity of the validated CERES-wheat model to increase in temperature by 0.7, 1.2, 1.5 0C and CO2 concentration by 435, 460, 500 ppm, as projected for years 2030, 2040 and 2050 respectively, revealed reduction in the wheat yield. The combination of 15 November sown crop, irrigation at IW:CPE ratio 1.0, and recommended dose of nitrogen showed resilience against increasing CO2 concentration and temperature rise.
References
Dar, Eajaz Ahmad, Gerrit Hoogenboom, and Zahoor Ahmad Shah. (2023). Meta analysis on the evaluation and application of DSSAT in South Asia and China: Recent studies and the way forward. J. Agrometeorol., 25(2): 185–204. https://doi.org/10.54386/jam.v25i2.2081
IPCC. (2021). Climate change 2021: the physical science basis [M]// Lee J Y, Marotzke J, Bala G, et al., FFuture global climate: scenario-42 based projections and near-term information. Cambridge: Cambridge University Press, 1-195
Kaur, A. and Pannu, R. K. (2008). Effect of sowing time and nitrogen schedules on phenology, yield and thermal-use efficiency of wheat (Triticum aestivum). Indian J. Agric. Sci., 78(4): 366-369.
Kaur, A., Pannu, R. K. and Buttar, G. S. (2010). Quality of wheat (Triticum aestivum) as influenced by sowing dates and nitrogen scheduling. Indian J. Agric. Sci., 80(9). 781–785
Kaur, A., Thaman, S., Sidhu, A. S., Sekhon, K. S. and Buttar, G. S. (2017). Effect of variable irrigation supply based diversification of Bt cotton (Gossypium hirsutum)-wheat (Triticum aestivum) system on productivity, profitability, soil fertility and water expense efficiency. Indian J. Agron., 62(4): 431-437.
Meleha, A. M., Hassan, A. F., El-Bialy, M. A. and El-Mansoury, M. A. (2020). Effect of planting dates and planting methods on water relations of wheat. Int. J. Agron., 2020: 1-11.
Patel, H. R., Patel, G. G., Shroff, J. C., Pandey, V., Shekh, A. M., Vadodaria, R. P. and Bhatt, B. K. (2010). Calibration and validation of CERES-wheat model for wheat in middle Gujarat region. J. Agrometeorol., 12(1): 114-117. https://doi.org/10.54386/jam.v12i1.1286.
Patel, C., Nema, A. K., Singh, R. S., Yadav, M. K., Singh, S. K. and Singh, M. (2017). Evaluation of DSSAT-CERES model for irrigation scheduling of wheat crop in Varanasi region of Uttar Pradesh. J. Agrometeorol., 19(2): 120-124. https://doi.org/10.54386/jam.v19i2.683.
Singh, P. K., Singh, K. K., Singh, P., Balasubramanian, R., Baxla, A. K., Kumar, B., Gupta, A., Rathore, L. S. and Kalra, N. (2017). Forecasting of wheat yield in various agro-climatic regions of Bihar by using CERES-Wheat model. J. Agrometeorol, 19(4): 346-349. https://doi.org/10.54386/jam.v19i4.604.
Singh, Piara. (2023). Crop models for assessing impact and adaptation options under climate change. J. Agrometeorol, 25(1): 18–33. https://doi.org/10.54386/jam.v25i1.1969.
Downloads
Published
How to Cite
License
Copyright (c) 2024 ANUREET KAUR, KARAMJIT SINGH SEKHON, RAJ KUMAR PAL, SUDHIR THAMAN, ANURAG MALIK, SAMANPREET KAUR, SONY BORA
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
This is a human-readable summary of (and not a substitute for) the license. Disclaimer.
You are free to:
Share — copy and redistribute the material in any medium or format
Adapt — remix, transform, and build upon the material
The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
NonCommercial — You may not use the material for commercial purposes.
ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.
No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation.
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
