Peer Reviewed Open Access Journal
ISSN: 2394-5389 NAAS: 4.05
Submit ManuscriptChlorophyll fluorescence is a quick, non-lethal, and low-cost approach for evaluating Photosystem II activity in plants. It is denoted by Fv/Fm. The reason why it measured only PSII activity and not PSI is the fluorescence formed in PSI is constant and not variable like PSII. As PSII activity is responsive to abiotic as well as biotic factors, this approach is useful for studying photosynthetic systems and also providing a reliable benchmark of the way plants give a response to environmental variation. Though, Chlorophyll Florescence Imaging Technique is a valuable and propitious method for horticulture, it has significant shortcomings that must be addressed. Imaging of fluorescence signs, for instance, might be hampered by inflated tissues due to variances in light assimilation (e.g., curly leaves or spherical fruits), by highly reflective exteriors such as waxes or hairs, and by dust adulteration on the surface. Two leaves with different chlorophyll fluorescence release, for example, could not be compared if the light engrossed was not the same. Kautsky and Hirsch were the first to conduct experiments with the fluorescence of chlorophyll (Chl) by exposing a plant to blue light and saw it through a red filter to witness chlorophyll (Chl) fluorescence with naked eyes. This method has advanced quickly since then.
abiotic, biotic, chlorophyll, florescence, environmental and photosyst
Baker, N. R. (2008). Chlorophyll fluorescence: A probe of photosynthesis in vivo. Annual Review of Plant Biology, 59, 89–113.
Calatayud, A., Roca, D., & Martínez, P. F. (2006). Spatial-temporal variations in Rosa leaves under water stress conditions studied by chlorophyll fluorescence imaging. Plant Physiology and Biochemistry, 44(10), 564–573.
Cséfalvay, L., Di Gaspero, G., Matouš, K., Bellin, D., Ruperti, B., & Olejníčková, J. (2009). Pre-symptomatic detection of Plasmopara viticola infection in Vitis vinifera leaves using chlorophyll fluorescence imaging. European Journal of Plant Pathology, 125(2), 291–302.
Delalieux, S., Auwerkerken, A., Verstraeten, W. W., Somers, B., Valcke, R., Lhermitte, S., ... & Coppin, P. (2009). Hyperspectral reflectance and fluorescence imaging to detect scab-induced stress in apple (Malus domestica) leaves. Remote Sensing, 1(4), 858–875.
Dong, Z., Men, Y., Li, Z., Zou, Q., & Ji, J. (2019). Chlorophyll fluorescence imaging as a tool for analyzing the effects of chilling injury on tomato(Solanum lycopersicum) seedlings. Scientia Horticulturae, 246, 490–497.
Ellenson, J. L., & Amundson, R. G. (1982). Delayed light imaging for the early detection of plant stress. Science, 215(4536), 1104–1106.
Fenton, J. M., & Crofts, A. R. (1990). Computer aided fluorescence imaging of photosynthetic systems: Application of video imaging to the study of fluorescence induction in green plants and photosynthetic bacteria. Photosynthesis Research, 26(1), 59–66.
Guidi, L., Lo Piccolo, E., & Landi, M. (2019). Chlorophyll fluorescence, photoinhibition and abiotic stress: Does it make any difference the fact to be a C3 or C4 species? Frontiers in Plant Science, 10, 174.
He, L., Yu, L., Li, B., Du, N., & Guo, S. (2018). The effect of exogenous calcium on cucumber (Cucumis sativus) fruit quality, photosynthesis, chlorophyll fluorescence, and fast chlorophyll fluorescence during the fruiting period under hypoxic stress. BMC Plant Biology, 18(1), 180.
Heredia, P., & De Las Rivas, J. (2003). Fluorescence induction of Photosystem II membranes shows the steps till reduction and protonation of the quinone pool. Journal of Plant Physiology, 160(12), 1499–1506.
Huybrechts, C., Deckers, T., & Valcke, R. (2003). Assessing apple (Malus domestica) quality and storage capability by means of fluorescence imaging. Acta Horticulturae, 628, 91–98.
Jensen, M., & Siebke, K. (1997). Fluorescence imaging of lichens in the macro scale. Symbiosis, 23, 183–196.
Kautsky, H., & Hirsch, A. (1931). Neue Versuche zur Kohlensäureassimilation. Naturwissenschaften, 19, 964.
Kim, J. H., Bhandari, S. R., Chae, S. Y., Cho, M. C., & Lee, J. G. (2019). Application of maximum quantum yield, a parameter of chlorophyll fluorescence, for early determination of bacterial wilt in tomato (Solanum lycopersicum) seedlings. Horticulture, Environment, and Biotechnology, 60, 821–829.
Nedbal, L., & Whitmarsh, J., (2004). Chlorophyll fluorescence imaging of leaves and fruits (Vol. 14, pp. 389-407). Dordrecht, The Netherlands: Springer.
Nedbal, L., Soukupová, J., Whitmarsh, J., & Trtílek, M. (2001). Postharvest imaging of chlorophyll fluorescence from Lemons (Citrus limon) can be used to predict fruit quality. Photosynthetica, 38(4), 571–579.
Nedbal, L., Trtílek, M., & Kaftan, D. (1999). Flash fluorescence induction: A novel method to study regulation of Photosystem II. Journal of Photochemistry and Photobiology B: Biology, 48(2–3), 154–157.
Ning, Y. N., Wang, Z. P., Palmer, A. W., Grattan, K. T. V., & Jackson, D. A. (1995). Recent progress in optical current sensing techniques. Review of Scientific Instruments, 66(5), 3097–3111.
Obenland, D., & Neipp, P. (2005). Chlorophyll fluorescence imaging allows early detection and localization of lemon (Citrus limon) rind injury following hot water treatment. HortScience, 40(6), 1821–1823.
Omasa, K., & Takayama, K. (2003). Simultaneous measurement of stomatal conductance, non-photochemical quenching, and photochemical yield of photosystem II in intact leaves by thermal and chlorophyll fluorescence imaging. Plant and Cell Physiology, 44(12), 1290–1300.
Osmond, C.B., Daley, P.F., Badger, M.R. & Lüttge, U., (1998). Chlorophyll fluorescence quenching during photosynthetic induction in leaves of Abutilon striatum Dicks. infected with Abutilon mosaic virus, observed with a field‐portable imaging system. Botanica Acta, 111(5), 390-397.
Osório, J., Osório, M. L., Correia, P. J., de Varennes, A., & Pestana, M. (2014). Chlorophyll fluorescence imaging as a tool to understand the impact of iron deficiency and resupply on photosynthetic performance of strawberry (Fragaria × ananassa) plants. Scientia Horticulturae, 165, 148–155.
Schreiber, U., Schliwa, U., & Bilger, W. (1986). Continuous recording of photochemical and non-photochemical chlorophyll fluorescence quenching with a new type of modulation fluorometer. Photosynthesis research, 10(1-2), 51–62.
Takayama, K., Konishi, A., & Omasa, K. (2003). Diagnosis of Invisible Photosynthetic Injury Caused by a Herbicide (Basta) with Chlorophyll Fluorescence Imaging System. Agricultural Engineering International: The CIGR Journal.
Van Kooten, O., & Snell, J.F.H., (1990). The use of chlorophyll fluorescence nomenclature in plant stress physiology. Photosynthesis Research, 25(3), 147–150.
Wang, P., Li, H., Jia, W., Chen, Y., & Gerhards, R. (2018). A fluorescence sensor capable of real-time herbicide effect monitoring in greenhouses and the field. Sensors, 18(11), 3771.
Weber, J. F., Kunz, C., Peteinatos, G. G., Santel, H.-J., & Gerhards, R. (2017). Utilization of chlorophyll fluorescence imaging technology to detect plant injury by herbicides in sugar beet (Beta vulgaris) and soybean (Glycine max). Weed Technology, 31(4), 523–535.
Yanase, D., & Andoh, A. (1992). Translocation of photosynthesis-inhibiting herbicides in Triticum aestivum leaves measured by phytofluorography, the chlorophyll fluorescence imaging. Pesticide Biochemistry and Physiology, 44(1), 60–67.
Zheng, H., Lu, H., Zheng, Y., Lou, H., & Chen, C. (2010). Automatic sorting of Chinese jujube (Zizyphus jujuba Mill. cv. ‘hongxing’) using chlorophyll fluorescence and support vector machine. Journal of Food Engineering, 101(4), 402–408.
