新疆地区10种蔷薇属植物叶色的量化分析

    Quantitative Analysis of Leaf Color of 10 Species of Rosaceae in Xinjiang

    • 摘要: 叶色作为园林植物景观设计中持续稳定的视觉要素,其美学与生态价值日益凸显。蔷薇科Rosaceae蔷薇属Rosa L.植物具有丰富的物种多样性与观赏潜力,但针对其叶色特征及呈色生理机制的系统研究仍较为缺乏。以10种野生蔷薇为材料,采用L*a*b*色彩模型量化叶色参数(L*亮度、a*红绿色轴、b*黄蓝色轴),并结合叶绿素含量进行相关分析,以解析蔷薇属植物叶色差异的生理基础。结果表明:不同蔷薇物种在L*a*b*均存在显著差异,其中落萼蔷薇Rosa beggeriana Schrenk与疏花蔷薇Rosa laxa Retz.亮度最高,黄刺玫Rosa xanthina Lindl.亮度最低;a*显示所有种类均偏向绿色调,但绿度存在显著分化;b*揭示部分种类黄色倾向明显。通过蔷薇品种的颜色表型进行了量化排序与等级划分根据综合评分(S),从高到低对所有品种进行排序,并按排序位次将其划分为3个等级。相关性分析显示,a*与叶绿素含量呈显著负相关,印证了叶绿素对红光吸收的生理特性;L*普遍与叶绿素无显著相关,表明亮度主要受叶片表面结构等物理属性影响;b*与叶绿素的关系因物种而异,体现了非叶绿素色素的调控作用。研究将蔷薇属植物叶色进行客观量化,为蔷薇种质资源评价、分类及园林景观的色彩设计提供依据与参考。

       

      Abstract: Leaf color, as a persistent and stable visual element in landscape design of garden plants, has increasingly demonstrated its esthetic and ecological value. Plants of the genus Rosa L. in the Rosaceae family exhibit rich species diversity and ornamental potential, yet systematic research on their leaf color characteristics and the physiological mechanisms underlying coloration remains relatively scarce. Using 10 wild rose species as materials, the L*a*b* color model was employed to quantify leaf color parameters(L* brightness, a* red-green axis, b* yellow-blue axis), combined with chlorophyll content for correlation analysis, to elucidate the physiological basis of leaf color variations in Rosa species. The results revealed significant differences among species in L*, a*, and b* values. Among them, Rosa alberti Regel. and Rosa laxa Retz. exhibited the highest brightness, while Rosa xanthina Lindl. showed the lowest. The a* value indicated a greenish bias across all species, though greenness exhibited significant differentiation. The b* value revealed distinct yellowish tendencies in some species. Through quantitative phenotyping of rose varieties, a ranking and grading system was established based on a comprehensive score(S), with all varieties ranked from highest to lowest and categorized into three grades according to their rankings. Correlation analysis demonstrated a significant negative correlation between a* and chlorophyll content, confirming the physiological role of chlorophyll in red light absorption. L* values generally showed no significant correlation with chlorophyll, indicating that brightness is primarily influenced by physical properties such as leaf surface structure. The relationship between b* and chlorophyll varied among species, reflecting the regulatory role of non-chlorophyll pigments. The research quantified the leaf color of the rose plant objectively, which provided the basis and reference for the evaluation and classification of rose germplasm resources and the color design of landscape.

       

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