乌桕秋叶显色的生理生化与数字图像分析

doi:10.11707/j.1001-7488.20131105

Abstract

Abstract:

In the present study, foliar pigments, nitrogen (N) and carbohydrate concentrations in the autumn leaves of Chinese tallow trees (Sapium sebiferum) with different colored leaves were measured. The R, G and B values of the leaves were quantified by the digital imaging analysis. In addition, the distribution of chlorophyll, anthocyanins and carotenoids in the leaves were observed in situ by their autofluorescence. The results showed that there was no correlation between pigment contents and the single R, G and B value. Whereas, a significant positive correlation was observed between chl a and (G-B)/(R-B). The chl b and total chlorophyll content were all negatively correlated with R/(R+G+B). There was a positive correlation between anthocyanins contents and R/(G-B). Nitrogen concentration was highest in the green leaves. After the leaves changed color, the red and purple leaves contained much more nitrogen than the orange and yellow leaves did. The total nitrogen was negatively correlated with total chlorophyll. A linear regression analysis demonstrated a positive correlation between sucrose and anthocyanins, and there were significant positive correlations between starch and chl a with total chlorophyll. Moreover, the content of total non-structural carbohydrates was positively correlated to carotenoid. The aim of this study was to find out the physiological and structural factors that influence autumn coloration of S. sebiferum. This study would provide a basis for selective-breeding of Chinese tallow tree with attractive autumn colors.

Key words: Sapium sebiferum, leaf coloration, RGB values, pigment, total nitrogen, carbohydrate

CLC Number:

S718.43

Huang Libin, Chen Qingsheng, Zhang Min, Qian Meng, Dou Quanqin. Analysis of Autumnal Leaf Colorization of Sapium sebiferum by Using Physiological and Digital Imaging Methods[J]. Scientia Silvae Sinicae, 2013, 49(11): 32-41.

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Analysis of Autumnal Leaf Colorization of Sapium sebiferum by Using Physiological and Digital Imaging Methods

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