Indian Institute of Remote Sensing, Dehradun, 248001, India.
Biological Systems Engineering, Florida Agricultural and Mechanical University, Tallahassee, FL, 32307, USA.
Sci Rep. 2022 Oct 10;12(1):16985. doi: 10.1038/s41598-022-19750-z.
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 (R) 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.
本研究通过整合天气研究预测（WRF）和农业技术转移决策支持系统（DSSAT）模型，评估了印度北部旁遮普邦和哈里亚纳邦的水分胁迫对水稻产量的影响。印度遥感卫星数据集被用于在 WRF 中定义土地利用/土地覆盖。模拟的旁遮普邦和哈里亚纳邦的降雨和温度精度分别与热带降雨测量任务和印度空间研究组织的自动气象站数据进行了评估。WRF 的数据被用作 DSSAT 的天气输入，以模拟 2009 年和 2014 年旁遮普邦和哈里亚纳邦的水稻产量。在对模拟产量与地区水平的观测产量进行评估后，DSSAT 模型中的水分平衡分量被用于分析水分胁迫对水稻产量的影响。在营养生长和生殖生长阶段，作物水分胁迫因子与水稻产量异常之间的相关性（R）分别为 0.64 和 0.52（哈里亚纳邦）和 0.73 和 0.68（旁遮普邦）。在开花到成熟阶段的严重水分胁迫对产量造成了毁灭性的影响。该研究得出结论，区域气候模拟可用于早期水分胁迫预测及其对水稻产量的影响。
