为明确影响湖北主栽品种‘CX26’、‘CX80’茄衣烟叶外观质量的关键理化指标，测定湖北省2020—2023年‘CX26’、‘CX80’茄衣色差、厚度差、断裂伸长率、烟碱、总糖、总氮等关键理化指标，以及完整度、均匀度、身份、脉相、油分等外观品质指标，通过统计分析发现影响茄衣外观质量的主要理化指标。方差分析结果显示，品种间茄衣烟叶色差、总糖、氯、烟碱、外观质量总分存在显著或极显著差异。描述性统计结果显示，与‘CX26’相比，‘CX80’茄衣的色差、厚度差、总糖含量较低，断裂伸长率、烟碱含量、氯含量、钾含量比较高，总氮含量基本一致，外观质量总分较高。简单相关分析结果显示，与外观质量总分呈显著或极显著正相关的指标是断裂伸长率、总糖、氯，与外观质量总分呈显著或极显著负相关的指标有色差、厚度差。逐步回归和通径分析结果显示，影响‘CX26’茄衣外观质量的关键物理指标是断裂伸长率、色差，影响‘CX80’茄衣外观品质的关键物理指标是断裂伸长率、色差、厚度差。建立的回归预测模型可用于快速、准确判定烟叶外观质量。要提高湖北茄衣外观质量，生产上应关注烟叶的弹性、颜色和身份，着重提高烟叶断裂伸长率，减少烟叶的颜色差和厚度差。

In order to clarify the key physical and chemical indicators that affect the appearance quality of the main varieties ‘CX26’ and ‘CX80’ wrapper leaves in Hubei Province from 2020 to 2023, key physical and chemical indicators were measured. Through statistical analysis, key physical and chemical indicators, including chromatic aberration, thickness difference, elongation at break, nicotine, total sugar, total nitrogen, and appearance quality indicators of wrapper such as integrity, uniformity, body, vein, and oil were determined. The results of analysis of variance showed significant differences in chromatic aberration, total sugar, chlorine, nicotine, and appearance quality scores among different varieties of wrapper leaves. Descriptive statistical results showed that compared with ‘CX80’, ‘CX26’had lower chromatic aberration, thickness difference, total sugar content, higher elongation at break, nicotine content, chlorine content, potassium content, and the same total nitrogen content, with a higher sensory evaluation score. Elongation at break, total sugar, and chlorine were significantly and positively correlated with the appearance quality score, chromatic aberration and thickness difference were significantly and negatively correlated with the appearance quality score. The results of stepwise regression and path analysis showed that the key physical indicators affecting the appearance quality of the ‘CX26’ wrapper were elongation at break and chromatic aberration, while elongation at break, chromatic aberration, and thickness difference were key indicators for variety ‘CX80’. Established regression prediction model can be used to quickly and accurately determine the appearance quality of tobacco leaves. Therefore, to improve the appearance quality of Hubei tobacco wrapper leaves, attention should be given to the elongation at break, chromatic aberration, and thickness difference of tobacco which may affect elasticity and color of tobacco leaves.