Calibration of the DSSAT-CERES Wheat Crop Model under Scenarios of Climate Change Adaptation and Biotic Stress

Rehab A. Dawoud, Tahany Noreldin, Rania S. Shehata, Hanan Moawod, Amira Kasem
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Abstract

A field experiment was conducted during the 2018/2019 wheat growing season in Kafr El-Sheikh Governorate. This is to assess the potential impact of climate change on wheat production under different irrigation treatments using the DSSAT-CERES wheat simulation model and climate change scenarios; to determine the best sowing date to be used as an adaptation strategy under climate change scenarios. The model effectively simulates wheat yield, with a high goodness of fit and d-Stat value, and low root mean square per observation, resulting in an overall goodness of fit of average 13.8 kg/fed. The model's performance was satisfactory, with high R2 and d-Stat values and low RMSE/obs, with overall values of 0.830, 0.951, and 2.3 mm, respectively for water consumption. The CERES-Wheat model accurately simulates wheat yield and water consumption, allowing us to assess climate change's impact on wheat yield in 2030 and 2040. The study shows a decrease in solar radiation (SR) by 1.9 and 2.1 MJ/m2/day in 2030 and 2040, while maximum temperature increases by 1.5 and 1.9°C due to climate change, and minimum temperature decreases by 1.8 and 2.3°C in 2030 and 2040. This results in an increase in potential evapotranspiration (PET) by 0.2 and 0.3 mm. The study predicts that season length will shorten in 2030 and 2040 due to temperature increases. In 2030, it will be reduced by 2, 4, and 4 days under different treatments. In 2040, it will be lower, with reductions of 3, 5, and 5 days. The study found that wheat yield losses would be lowest under the first sowing date and irrigation treatment, while the highest reductions were found under the third treatment. Climate change will reduce wheat water consumption due to shorter growing seasons and heat stress, with the lowest reductions occurring in 2030 and 2040 at 8 and 18%, respectively. The highest reductions in wheat yield were observed under the third sowing date and irrigation treatment. We suggest planting wheat in November, using full irrigation to prevent high-yield losses, and implementing adaptation strategies to reduce wheat plant vulnerability to climate change risks.
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气候变化适应和生物胁迫情景下DSSAT-CERES小麦作物模型的定标
在Kafr El-Sheikh省的2018/2019小麦生长季节进行了一项田间试验。利用DSSAT-CERES小麦模拟模型和气候变化情景,评估气候变化对不同灌溉处理下小麦产量的潜在影响;确定在气候变化情景下作为适应策略的最佳播种日期。该模型能有效地模拟小麦产量,具有较高的拟合优度和d-Stat值,且每次观测值的均方根较低,总体拟合优度平均为13.8 kg/只。该模型具有较高的R2和d-Stat值,较低的RMSE/obs,耗水量的总体值分别为0.830、0.951和2.3 mm。CERES-Wheat模型准确地模拟了小麦产量和耗水量,使我们能够评估2030年和2040年气候变化对小麦产量的影响。研究表明,2030年和2040年,受气候变化影响,太阳辐射减少1.9和2.1 MJ/m2/d,最高气温上升1.5和1.9°C,最低气温下降1.8和2.3°C。这导致潜在蒸散量(PET)增加0.2和0.3毫米。该研究预测,由于气温上升,到2030年和2040年,季节长度将缩短。到2030年,在不同的处理方式下,将分别减少2天、4天和4天。到2040年,这一数字将更低,分别减少3天、5天和5天。研究发现,在第一播期和灌溉处理下,小麦产量损失最小,而在第三次处理下,减产幅度最大。由于生长季节缩短和热胁迫,气候变化将减少小麦耗水量,2030年和2040年的降幅最低,分别为8%和18%。三播期和灌水处理的小麦减产幅度最大。我们建议在11月播种小麦,利用充分灌溉防止高产损失,并实施适应策略以降低小麦对气候变化风险的脆弱性。
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