Optical Properties and Nondestructive Estimation of Anthocyanin Content in Plant Leaves¶

By Anatoly A. Gitelson, M. Merzlyak, O. Chivkunova. Photochemistry and Photobiology, 2001

988 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/fb596d29c31950b5d370ab5d17508d59e8cebc09

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Citations in the corpus

Anthocyanin Function in Vegetative Organs (2008, background): “Anthocyanic leaves typically absorb more light in the green and yellow wavebands than do acyanic leaves (Neill and Gould 1999; Gitelson et al. 2001 ).”
Effect of cadmium on photosynthesis, nutrition and growth of mungbean (2008, methodology): “For the estimation of chlorophylls and carotenoids, the fresh material was extracted in 80% acetone in black-colored bottles, filtered, absorbance of the extract determined immediately using a spectrophotometer and quantities determined as described by Gitelson et al. (2001).”
PROSPECT-4 and 5: Advances in the leaf optical properties model separating photosynthetic pigments (2008, background): “…of light by dissipating excess absorbed energy, thus avoiding the detrimental oxidation of the photocenter (Gamon & Qiu, 1999); anthocyanins which also protect the photosynthetic system from excess light and whose measurement could indicate the physiological state of plants (Gitelson et al., 2001).”
Nature's Swiss Army Knife: The Diverse Protective Roles of Anthocyanins in Leaves (2004, background): “Anthocyanins in vivo absorb the green and yellow wavebands of light, commonly between 500 and 600 nm [20, 21, 22, 23, 24, 25].”
Spectral signatures of sugar beet leaves for the detection and differentiation of diseases (2010, background): “The spectral vegetation indices Normalised Difference Vegetation Index (NDVI), Anthocyanin Reflectance Index (ARI) and modified Chlorophyll Absorption Integral (mCAI) differed in their ability to assess the different diseases at an early stage of disease development, or even before first symptoms be”
Relationships between leaf chlorophyll content and spectral reflectance and algorithms for non-destructive chlorophyll assessment in higher plant leaves. (2003, methodology): “These newer methods are non-destructive, inexpensive, quick and now possible in the field (Buschmann and Nagel 1993, Gitelson and Merzlyak 1994 a, b, Markwell et al. 1995, Gamon and Surfus 1999, Gitelson et al. 2001, 2002).”
Using digital image analysis and spectral reflectance data to quantify damage by greenbug (Hemitera: Aphididae) in winter wheat (2006, methodology): “Among the vegetation indices tested, the Visible Atmospherically Resistant Index [VARI = (Rgreen− Rred)/(Rgreen+ Rred− Rblue)] developed byGitelson et al. (2002) was examined and modified by adding NIR and green wavebands as in the following formula:”
Remote estimation of chlorophyll concentration in hyper-eutrophic aquatic systems: Model tuning and accuracy optimization (2006, methodology): “(1)) has been used for non-destructive pigment retrieval from reflectance spectra of plant leaves (anthocyanins: Gitelson et al., 2001; carotenoids: Gitelson et al., 2002; chlorophyll: Gitelson et al., 2003a), fruit peels (Merzlyak et al., 2003), crop canopies (Gitelson et al., 2003b, 2005) and chl…”
Evaluating ten spectral vegetation indices for identifying rust infection in individual wheat leaves (2008, background): “…of chlorophyll pigments and subsequent changes in the concentration of carotenoids, (Penuelas et al. 1994; Young and Britton 1990), anthocyanins (Gitelson et al. 2001) and the photo protective role of xanthophyll pigments (Gamon et al. 1992; Trotter et al. 2002) associated with low light use…”
FIELD EVALUATION OF THE RELATIONSHIP BETWEEN CHLOROPHYLL CONTENT IN BASIL LEAVES AND A PORTABLE CHLOROPHYLL METER (SPAD-502) READINGS (2010, background): “…quick and now possible in the field (Buschmann and Nagel, 1993; Gitelson and Merzlyak, 1994a, 1994b; Markwell et al., 1995; Gamon and Surfus, 1999; Gitelson et al., 2001, 2002) and have been demonstrated to predict chlorophyll content for different species of plants (Yadava, 1986; Marquard and…”
PROSPECT-D: towards modeling leaf optical properties through a complete lifecycle (2017, unknown): “These methods included spectral indices and machine learning algorithms such as support vector regression (Gitelson et al., 2001, 2006, 2009; van den Berg and Perkins, 2005; Pfündel et al., 2007).”
Significant Remote Sensing Vegetation Indices: A Review of Developments and Applications (2017, unknown): “ARI2 R800 [( 1 R550 ) − ( 1 R700 )] [76]”
Optimizing spectral indices and chemometric analysis of leaf chemical properties using radiative transfer modeling (2011, background): “…carotenoid content is limited (Asner and Martin, 2008; Chappelle et al., 1992; Féret et al., 2008; Gitelson et al., 2002, 2006; Sims and Gamon, 2002; Zur et al., 2000) and there are even less focusing on anthocyanins (Asner and Martin, 2008; Gitelson et al., 2001, 2006, 2009; Sims and Gamon, 2002).”