Weather data of Gazipur (41 years mean).

Field experiment on sowing dates was carried out with BARI Mung-6 during pre-monsoon (kharif-I) season of 2021 for the evaluation of Agricultural Production Systems Simulator (APSIM) crop model. The APSIM model was parameterized using data from March 10 sowing, while validation was done with other sowing dates and data from literatures. Simulation was done with elevated temperatures (1-, 2- and 3-°C) to find out the adaptation option against future temperature stress situations. The model was run for different sowing dates using long-term (1981–2021) historical weather data. The evaluations showed that the model performance was satisfactory in predicting crop phenology, total biomass and grain yields of BARI Mung-6. Simulated grain yields during March 10 to March 25 sowings were very similar to attainable grain yields while, very early or late sowing gave comparatively lower grain yields. The best simulated planting window was from 15 to 25 March having the highest mean grain yields with less variability over the years. Increase in temperature by 1°C increase exhibited no significant influence on grain yields across the sowing dates, but significant yield reductions were observed with the rise of temperatures by 2 and 3°C on March 20, March 30 and April 10 sowings. Elevated temperatures showed positive impact on grain yield of March 10 sowing only. Results revealed that optimum sowing window for mungbean is from 15 to 25 March with existing weather conditions. In future temperature rises situations, sowing of seeds by the first week of March would be one of the options to combat climate change impact on mungbean grain yield in Bangladesh.2021年季风前（Kharif-I）种植季，以BARI Mung-6为试验材料开展播期田间试验，旨在评估农业生产系统模拟器（Agricultural Production Systems Simulator, APSIM）作物模型。本研究以3月10日播期的试验数据对APSIM模型进行参数化，其余播期数据及文献公开数据则用于模型验证。通过设置1℃、2℃、3℃的升温情景开展模拟试验，以探索应对未来温度胁迫的适应方案。研究采用1981–2021年的长期历史气象数据，针对不同播期运行APSIM模型。模型评估结果表明，APSIM模型对BARI Mung-6的作物物候期、总生物量及籽粒产量均具有良好的预测效果。3月10日至3月25日播期的模拟籽粒产量与理论可达到的籽粒产量高度吻合，而过早或过晚播期的模拟产量则相对较低。模拟结果显示最优播期窗口为3月15日至25日，该时段的平均籽粒产量最高，且多年间产量波动最小。整体而言，1℃升温对各播期的籽粒产量无显著影响，但在3月20日、3月30日及4月10日播期下，2℃和3℃升温会导致籽粒产量显著降低。仅在3月10日播期下，升温对籽粒产量表现出正向影响。研究结果表明，在当前气象条件下，绿豆的最优播期窗口为3月15日至25日。在未来升温情景下，于3月第一周播种是孟加拉国应对气候变化对绿豆籽粒产量负面影响的可行方案之一。