The productivity of wheat is highly vulnerable to climate change. Optimizing the sowing period of a crop may be one of the most important climate resilient strategies to optimize yield. First, the CERES-Wheat model was used to analyze effects of climate change on the optimum sowing window of wheat. Second, it was used to determine the optimum sowing window for different zones within Punjab state, India. The simulation results suggested that climate change has caused a shift in the optimum sowing window of wheat. The current (2006–2015 weather data) optimum sowing window is 22–28 October in north eastern Punjab, 24–30 October in central Punjab, and 21–27 October in south western Punjab. The rate of decrease in productivity with delay in sowing from the optimum sowing window by each day was lowest for north eastern Punjab (36.09 kg ha⁻¹ day⁻¹) and highest for south western Punjab (70.80 kg ha⁻¹ day⁻¹). The methodology followed in this study can be useful in determining the optimum sowing time of various crops.

小麦的生产力极易受到气候变化的影响。优化农作物的播种期可能是最优化产量的最重要的气候适应策略之一。首先，使用CERES-Wheat模型分析气候变化对小麦最佳播种期的影响。其次，它用于确定印度旁遮普邦不同地区的最佳播种期。模拟结果表明，气候变化已导致小麦最佳播种期发生变化。当前（2006–2015年天气数据）最佳播种期是旁遮普东北部的10月22日至28日，旁遮普邦中部的10月24日至30日以及旁遮普西南部的10月21日至27日。旁遮普东北部（36.09 kg公顷）的生产率下降速率是每天延迟从最佳播种窗口播种的最低时间^-1天^-1）和旁遮普西南部最高（70.80 kg公顷^-1天^-1）。这项研究中采用的方法学对于确定各种农作物的最佳播种时间可能是有用的。