Wheat is the main food crop in the world. The planting of winter wheat in alpine regions can not only improve the land use efficiency, but also increase the income of farmers. The planting of winter wheat in alpine regions depends on whether it can survive the winter smoothly. Therefore, the study on the physiological process of winter wheat has application value.Over a three-year field experiment, the relationships between osmotic and anti-oxidative stress in tillering nodes and winter wheat overwintering capacity in alpine regions was examined. A multi-index cold-resistant overwintering capacity model of winter wheat was established using a (machine learning) logistic regression algorithm. The experiment included three winter wheat varieties (Dn1, Dn2, and J22) and eight key physiological indicators of cold resistance. The results showed that in terms of osmotic stress, the water content of tillering node was about 70%, and the Pro content was 2000-2500 μg g^-1, soluble sugar content of 1000 μg g^-1 above is more conducive to winter wheat overwintering; In terms of antioxidant stress ability, all indexes were maintained at a high level, which worked together to maintain the stability of antioxidant system. Through the analysis of receiver operating characteristic (ROC) curve of cold resistance of each index, six indexes of tillering node water content, hardness, pro content, soluble sugar content, MDA content and POD activity were selected to establish the cold resistance model of winter wheat overwintering, and the effect of the model was evaluated by ROC curve.The winter wheat overwintering model established in this study can provide a convenient and quick method for evaluating the overwintering capacity of novel winter wheat varieties.

小麦是世界上主要的粮食作物。在高寒地区种植冬小麦，不仅可以提高土地利用效率，还可以增加农民收入。高寒地区冬小麦的种植，取决于能否顺利越冬。因此，对冬小麦生理过程的研究具有应用价值。通过为期三年的田间试验，研究了高寒地区分蘖节渗透压和抗氧化胁迫与冬小麦越冬能力的关系。采用（机器学习）逻辑回归算法建立冬小麦多指标抗寒越冬能力模型。该试验包括三个冬小麦品种（Dn1、Dn2 和 J22）和 8 个抗寒性关键生理指标。^-1、可溶性糖含量在1000 μg g ^-1以上更有利于冬小麦越冬；在抗氧化应激能力方面，各项指标均保持在较高水平，共同维护了抗氧化系统的稳定性。通过对各指标抗寒性受试者工作特征（ROC）曲线的分析，选取分蘖节含水量、硬度、pro含量、可溶性糖含量、MDA含量和POD活性6个指标建立冬季抗寒性模型。本研究建立的冬小麦越冬模型可为冬小麦新品种越冬能力的评价提供一种方便快捷的方法。