Non-destructive measurement of chlorophyll in tomato leaves using spectral transmittance

Wang Jianfeng, He Dongxian, Song Jinxiu, Dou Haijie, Du Weifen

Abstract


In this study, spectral transmittances were measured in the wavelength range from 300 nm to 1100 nm of tomato leaves with different chlorophyll contents and compositions, and the correlations between the spectral transmittances and the contents of chlorophyll a, chlorophyll b and total chlorophyll were analyzed. With the characteristic wavelengths of 560 nm, 650 nm, 720 nm and the reference wavelength of 940 nm, nine sets of characteristic spectral parameters were obtained. According to the results of correlation analysis and regression model exploration, characteristic spectral parameters of T940/T560, T940/T650 and log (T940/T560) among the nine sets of parameters were highly correlated to the estimated contents of chlorophyll a, chlorophyll b and total chlorophyll of tomato leaves. The relative errors of total chlorophyll and chlorophyll a/b ratio were (5.1±3.7)% and (4.9±4.3)%, respectively. Therefore, the above three characteristic spectral parameters could be applied in the rapid non-destructive estimation of the contents of chlorophyll a, chlorophyll b and total chlorophyll as well as chlorophyll a/b ratio of tomato leaves.
Keywords: chlorophyll, characteristic wavelength, characteristic spectral parameter, spectral transmittance
DOI: 10.3965/j.ijabe.20150805.1931

Citation: Wang J F, He D X, Song J X, Dou H J, Du W F. Non-destructive measurement of chlorophyll in tomato leaves using spectral transmittance. Int J Agric & Biol Eng, 2015; 8(5): 73－78.

Keywords


chlorophyll, characteristic wavelength, characteristic spectral parameter, spectral transmittance

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References


Pandey D M, Kim K H, Yeo U D. Dynamic changes of photosynthetic pigments in soybean callus under high irradiance. Photosynthetica, 2003; 41(2): 311−314.

Pilarski J, Kocurek M. The content of photosynthetic pigments and the light conditions in the fruits and leaves of sweet pepper. Acta Physiologiae Plantarum, 2005; 27(2): 173−182.

Tokarz K, Pilarski J. Optical properties and the content of photosynthetic pigments in the stems and leaves of the apple-tree. Acta Physiologiae Plantarum, 2005; 27(2): 183−191.

Anderson J M, Chow W S, Goodchild D J. Thylakoid membrane organization in sun shade acclimation. Australian Journal of Plant Physiology, 1988; 15(1-2): 11−26.

Schoefs B, Bertrand M, Lemoine Y. Changes in the photosynthetic pigments in bean leaves during the first photoperiod of greening and the subsequent dark-phase. Comparison between old (10-d-old) leaves and young (2-d-old) leaves. Photosynthesis Research, 1998; 57(2): 203−213.

Chu Z X, Tong Z, Feng L J, Zhang Q, Wen X G, Song S T, et al. Effect of different light quality on photosynthetic characteristics of cucumber leaves. Acta Botanica Sinica, 1999; 41(8): 867−870.

Bednarz C W, Oosterhuis D M. Physiological changes associated with potassium deficiency in cotton. Journal of Plant Nutrition, 1999; 22(2): 303−313.

Zhang Z G, Shang Q M. Photosynthetic characteristics of pepper leaves under low temperature, weak light and salt stress. Scientia Agricultura Sinica, 2010; 43(1): 123−131. (in Chinese with English abstract)

Jiao W J, Min Q W, Lin K, Zhu Q K, Zhang J J. Progress and perspective on nutrition diagnosis of plant nitrogen. Chinese Agricultural Science Bulletin, 2006; 22(12): 351−355. (in Chinese with English abstract)

Roberts D A, Ustin S L, Ogunjemiyo S, Hinckley T M. Spectral and structural measures of northwest forest vegetation at leaf to landscape scale. Ecosystems, 2004; 7(5): 545−562.

Houborg R, Boegh E. Mapping leaf chlorophyll and leaf area index using inverse and forward canopy reflectance modeling and SPOT reflectance data. Remote Sensing of Environment, 2008; 112(1): 186–202.

Ustin S L, Gitelson A A, Jacquemoud S, Schaepman M, Asner G P, Gamon J A, et al. Retrieval of foliar information about plant pigment systems from high resolution spectroscopy. Remote Sensing of Environment, 2009; 113(9): 67–77.

Benedict H M, Swidler R. Nondestructive method for estimating chlorophyll content of leaves. Science, 1961; 133(346): 2015.

Yue Y M, Wang K L, Li R, Liu B, Chen H S. New spectral indices for quantifying chlorophyll content of paddy rice. Journal of Food Agriculture & Environment, 2012; 10(3-4):

−1284.

Babar M A, Reynolds M P, Van Ginkel M, Klatt A R, Raun W R, Stone M L. Spectral reflectance to estimate genetic variation for in-season biomass, leaf chlorophyll, and canopy temperature in wheat. Crop Science, 2006; 46(3): 1046−1057.

Daughtry C S T, Walthall C L, Kim M S, de Colstoun E B, McMurtrey J E. Estimating corn leaf chlorophyll concentration from leaf and canopy reflectance. Remote Sensing of Environment, 2000; 74(2): 229−239.

Salas E A L, Henebry G M. Separability of maize and soybean in the spectral regions of chlorophyll and carotenoids using the Moment Distance Index. Israel Journal of Plant Sciences, 2012; 60(1-2): 65−76.

Main R, Cho M A, Mathieu R, O'Kennedy M M, Ramoelo A, Koch S. An investigation into robust spectral indices for leaf chlorophyll estimation. Isprs Journal of Photogrammetry and Remote Sensing, 2011; 66(6): 751−761.

Botha E J, Leblon B, Zebarth B, Watmough J. Non-destructive estimation of potato leaf chlorophyll from canopy hyperspectral reflectance using the inverted PROSAIL model. International Journal of Applied Earth Observation and Geoinformation, 2007; 9(4): 360−374.

Merzlyak M N, Solovchenko A E, Gitelson A A. Reflectance characteristic spectral and non-destructive estimation of chlorophyll, carotenoid and anthocyanin content in apple fruit. Postharvest Biology and Technology, 2003; 27(2): 197−211.

Penuelas J, Filella I. Visible and near-infrared reflectance techniques for diagnosing plant physiological status. Trends in Plant Science, 1998; 3(4): 151−156.

Thomas J R, Oerther G F. Estimating nitrogen content of sweet pepper leaves by reflectance measurements. Agronomy Journal, 1972; 64(1): 11−13.

Bauerle W L, Weston D J, Bowden J D, Dudley J B, Toler J E. Leaf absorptance of photosynthetically active radiation in relation to chlorophyll meter estimates among woody plant species. Scientia Horticulturae, 2004; 101(1-2): 169−178.

Thomas J R, Gausman H W. Leaf reflectance vs. leaf chlorophyll and carotenoid concentrations for eight crops. Agronomy Journal, 1977; (5): 799−802.

He D X, Hu J X. Plant nutrition indices using leaf spectral transmittance for nitrogen detection. Transactions of the CSAE, 2011; 27(4): 214−218. (in Chinese with English abstract)

Ding Y J, Li M Z, An D K, Li S Q. Prediction of chlorophyll content using spectral response characteristics of greenhouse tomato. Transactions of the CSAE, 2011; 27(5): 244−247. (in Chinese with English abstract)

Richardson A D, Duigan S P, Berlyn G P. An evaluation of noninvasive methods to estimate foliar chlorophyll content. New Phytologist, 2002; 153(1): 185−194.




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