Rajasivaranjan, T., Anandhi, A., Patel, N.R. et al. Integrated use of regional weather forecasting and crop modeling for water stress assessment on rice yield. Sci Rep 12, 16985 (2022). https://doi.org/10.1038/s41598-022-19750-z
Integrated use of regional weather forecasting and crop modeling for water stress assessment on rice yield
|Author:||Rajasivaranjan, T.1; Anandhi, Aavudai2; Patel, N. R.1;|
1Indian Institute of Remote Sensing, Dehradun, 248001, India
2Biological Systems Engineering, Florida Agricultural and Mechanical University, Tallahassee, FL 32307, USA
3Water, Energy and Environmental Engineering Research Unit, Faculty of Technology, University of Oulu, 90014 Oulu, Finland
4Environmental Assessment Division, Indira Gandhi Centre for Atomic Research, Homi Bhabha National Institute, Kalpakkam, Tamil Nadu, India
5Department of Agricultural Engineering, TNAU: Agricultural College and Research Institute - Madurai Campus, Madurai 625 104, India
6Water Management (Agriculture) Division, Centre for Water Resources Development and Management, Kunnamangalam, Kozhikode 673571, Kerala, India
7ICAR-Indian Institute of Soil and Water Conservation, R.C, Udhagamandalam 643 004, Tamil Nadu, India
|Online Access:||PDF Full Text (PDF, 4.2 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2023042839312
|Publish Date:|| 2023-04-28
This study evaluated the effects of water stress on rice yield over Punjab and Haryana across North India by integrating Weather Research Forecasting (WRF) and Decision Support System for Agrotechnology Transfer (DSSAT) models. Indian Remote Sensing Satellite datasets were used to define land use/land cover in WRF. The accuracy of simulated rainfall and temperature over Punjab and Haryana was evaluated against Tropical Rainfall Measuring Mission and automated weather station data of Indian Space Research Organization, respectively. Data from WRF was used as weather input to DSSAT to simulate rice yield in Punjab and Haryana for 2009 and 2014. After simulated yield has been evaluated against district-level observed yield, the water balance components within the DSSAT model were used to analyze the impact of water stress on rice yield. The correlation (R2) between the crop water stress factor and the rice yield anomaly at the vegetative and reproductive stage was 0.64 and 0.52 for Haryana and 0.73 and 0.68 for Punjab, respectively. Severe water stress during the flowering to maturity stage inflicted devastating effects on yield. The study concludes that the regional climate simulations can be potentially used for early water stress prediction and its impact on rice yield.
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
218 Environmental engineering
Dr. Anandhi would like to acknowledge the support from the National Science Foundation under Grant No. 1735235 awarded as part of the NSF Research Traineeship (NRT), 63(3): 741-752 751 USDA-NIFA Capacity Building Grant 2017-38821-26405 and 2022-38821-37522, USDA-NIFA Evans-Allen Project Grant 11979180/2016-01711 and USDA-NIFA Grant 2018-68002-27920.
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