Agricultural Systems and Engineering, Department of Food, Agriculture and Bioresources, School of Environment, Resources and Development, Asian Institute of Technology, Klong Luang, Pathum Thani, 12120, Thailand.
Agrotechnology Discipline, Khulna University, Khulna, 9208, Bangladesh.
Environ Monit Assess. 2024 Nov 12;196(12):1192. doi: 10.1007/s10661-024-13362-y.
The lower Chao Phraya River Basin (CPRB) in Thailand, a major rice-producing area, is grappling with increased water scarcity alongside more frequent floods and droughts, necessitating effective adaptation strategies to sustain agricultural productivity. This study assesses the impacts of climate change on rice yield and irrigation water use, using the DSSAT-CERES-Rice model. Based on these findings, potential genotype- and management-based adaptation strategies were recommended. The model was calibrated and evaluated using the data from field experiments conducted at the Asian Institute of Technology, Thailand during 2017-2018 and 2021-2022. The grain yield and irrigation water use between baseline (2010-2022) and future climate periods (early-century: 2023-2040, mid-century: 2041-2070, and late-century: 2071-2100) were compared. Future climate projections were based on five Global Climate Models (GCMs) from the NEX-GDDP-CMIP6 project under three scenarios (SSP126, SSP245, and SSP585). The model calibration and evaluation demonstrated very good performance statistics, with a d-index of 0.85 during both calibration and evaluation. The model simulations indicated that the maximum and minimum temperatures in the lower CPRB are projected to increase by ~ 2 °C and ~ 4 °C in the late century under SSP245 and SSP585, respectively. Consequently, rice yields are projected to decline by up to 33%, and irrigation water usage to increase by 53% under SSP585 by the late century. Based on the findings, the following major genotype- and management-based adaptation strategies are recommended: (1) Developing heat-tolerant rice cultivars to mitigate yield losses under future climate scenarios, (2) Developing rice cultivars with extended grain-filling duration to enhance both irrigation water use and yield, (3) Shifting the planting date 1-2 weeks earlier (from baseline planting date of 20 July), and shifting fertilizer application date 1-2 weeks earlier (from baseline fertilizer application date of 20 September) for the panicle initiation stage to improve yield, and (4) Optimizing irrigation thresholds (remaining soil water at which to irrigate) to reduce irrigation water use without compromising yield. Overall, the findings highlight the importance of genotype improvement and adaptive management practices in mitigating the adverse effects of climate change on rice production in the lower CPRB.
泰国湄南河下游流域(CPRB)是主要的稻米产区,面临着水资源日益短缺、洪旱灾害更加频繁的问题,需要采取有效的适应策略来维持农业生产力。本研究利用 DSSAT-CERES-Rice 模型评估了气候变化对水稻产量和灌溉用水的影响。基于这些发现,提出了潜在的基于基因型和管理的适应策略。该模型使用 2017-2018 年和 2021-2022 年在泰国亚洲理工学院进行的田间试验数据进行了校准和评估。将基准期(2010-2022 年)和未来气候期(早期世纪:2023-2040 年,中期世纪:2041-2070 年,晚期世纪:2071-2100 年)的谷物产量和灌溉用水量进行了比较。未来气候预测基于 NEX-GDDP-CMIP6 项目的五个全球气候模型(GCM),在 SSP126、SSP245 和 SSP585 三种情景下进行。模型校准和评估结果显示,校准和评估期间 d-指数均为 0.85,表现出非常好的统计性能。模型模拟表明,在 SSP245 和 SSP585 下,到本世纪末,湄南河下游地区的最高和最低温度预计将分别升高约 2°C 和 4°C。因此,到本世纪末,在 SSP585 情景下,水稻产量预计将下降多达 33%,灌溉用水量将增加 53%。基于这些发现,建议采取以下主要基于基因型和管理的适应策略:(1)培育耐热水稻品种,减轻未来气候情景下的产量损失;(2)培育出灌浆持续时间更长的水稻品种,提高灌溉水的利用效率和产量;(3)将种植日期提前 1-2 周(从基准种植日期 7 月 20 日开始),将施肥日期提前 1-2 周(从基准施肥日期 9 月 20 日开始)到颖花分化期,以提高产量;(4)优化灌溉阈值(需要灌溉的剩余土壤水分),在不影响产量的情况下减少灌溉用水量。总的来说,研究结果强调了基因型改良和适应性管理实践在减轻气候变化对湄南河下游流域水稻生产的不利影响方面的重要性。