Chlorophyll mainly determines the photosynthetic rate and primary productivity in plant and is widely used as a response to the environment stress and nitrogen fertilizer application. The proportion of these pigments in leaf changes in autumn, as a result of different degradation degrees of chlorophyll and carotenoids and the synthesis of anthocyanin, contributing to a high ornamental value. Carotenoid is mainly related to the yellow color during the chlorophyll degradation, and the increased synthesis of anthocyanins is the main reason leading to red. Chlorophyll, commonly responsible for green color, is an essential pigment for the conversion of light into chemical energy. However, the application of field-based spectroscopy to assess the pigment of living leaves in situ has lagged.Ĭhlorophyll, carotenoid and anthocyanin are the three most important pigments in leaves. Reflectance spectroscopy combined with advanced chemometric modelling methods has been successfully used as a rapid and effective method to estimate the chemical and pigment components in leaves. It has the ability to simultaneously measure multiple plant leaf traits, potentially allowing for quick and economic prediction in situ. NIR spectroscopy is promising for the rapid prediction of leaf color and chlorophyll content of living fresh leaves. Several families with bright red color or bright yellow color were selected. High heritability of a*, b*, L* and chlorophyll content ( h 2 = 0.77, 0.89, 0.78, 0.81 respectively) were estimated. NIR reflectance spectra technology can be successfully used for genetic breeding program. Three most important NIR regions, including 1087, 12 nm, which were highly related to a*, b*, L* and chlorophyll content were found. Fresh and living tree leaves were used for NIR spectra collection, leaf color parameters (a*, b* and L*) and chlorophyll content were measured with standard analytical methods, partial least squares regression (PLSR) were used for model construction, the coefficient of determination (R 2) [cross-validation ( \(\) and RMSE CV of a*, b*, L* and chlorophyll content were (0.82, 4.43), (0.63, 3.72), (0.61, 2.35) and (0.86, 0.13%) respectively. Here, we examine the ability of NIR reflectance spectroscopy to determine the plant leaf color and chlorophyll content in Sassafras tzumu leaves and use the prediction results for genetic selection. But less studies have been made on the application of NIR reflectance spectroscopy to plant leaf color and pigments analysis and the possibility of using it for genetic breeding selection. Reflectance spectroscopy, like IR, VIS–NIR, combined with chemometric, has been widely used in plant leaf chemical analysis.
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