Precise prediction of the timing of floral initiation helps breeders create new varieties that can achieve maximum efficiency under the influence of a changing climate. A previously constructed model was used to compare the impact of daily weather parameters on the flowering time of wild varieties of chickpeas that were collected in different geographic locations in Turkey. We found that plants from the high altitude areas, unlike plant samples from lower altitudes, can adapt to lower temperatures and longer days. Forecasts of changes in time to flowering in the studied wild chickpea varieties were made with the model and climate change predictions using MarkSim software to generate daily weather data for Ankara. The mean thresholds for the sowing flowering period for the 2020–2039, 2040–2059, and 2060–2080 time periods shifted for 21 combinations of the scenarios of plant growth and development and plant collecting sites, accounting for approximately half of the 40 cases, thereby suggesting a moderate effect of climate change on flowering time in the studied varieties.

精确预测花序的开端时间，有助于育种者创造新的品种，从而在气候变化的影响下实现最大的效率。使用先前构建的模型来比较每日天气参数对在土耳其不同地理位置收集的鹰嘴豆野生品种开花时间的影响。我们发现，高海拔地区的植物与低海拔地区的植物样品不同，它们可以适应较低的温度和更长的时间。使用该模型对所研究的野生鹰嘴豆品种开花时间的变化进行了预测，并使用MarkSim软件生成了气候变化预测，以生成安卡拉的每日天气数据。2020-2039年，2040-2059年播种开花期的平均阈值，