[
Anjum, F., Yaseen, F., Wahid, A., Anjum, S. (2003). Water stress in barley (Hordeum vulgare L.). II. Effect on chemical composition and chlorophyll contents. Pak. J. Agric. Sci., 40, 45–49.
]Search in Google Scholar
[
Arivalagan, M., Somasundaram, R. (2015). Effect of propiconazole and salicylic acid on the growth and photosynthetic pigments in Sorghum bicolor (L.) Moench. under drought condition. J. Ecobiotechnol., 7, 17–23.
]Search in Google Scholar
[
Blackburn, G. A. (1998). Spectral indices for estimating photosynthetic pigment concentrations: A test using senescent tree leaves. Int. J. Remote Sensing, 19 (4), 657–675.10.1080/014311698215919
]Search in Google Scholar
[
Blackmer, T. M., Schepers, J. S., Varvel, G. E., Walter-Shea, E. A. (1996). Nitrogen deficiency detection using reflected shortwave radiation from irrigated corn canopies. Agron. J., 88 (1), 1–5.10.2134/agronj1996.00021962008800010001x
]Search in Google Scholar
[
Buchner, O., Roach, T., Gertzen, J., Schenk, S., Karadar, M., Stöggl, W., Miller, R., Bertel, C., Neuner, G., Kranner, I. (2017). Drought affects the heat-hardening capacity of alpine plants as indicated by changes in xanthophyll cycle pigments, singlet oxygen scavenging, α-tocopherol and plant hormones. Environ. Exper. Bot., 133, 159–175.10.1016/j.envexpbot.2016.10.010
]Search in Google Scholar
[
Chappelle, E. W., Kim, M. S., McMurtrey, J. E. (1992). Ratio analysis of reflectance spectra (RARS): An algorithm for the remote estimation of the concentrations of chlorophyll A, chlorophyll B, and carotenoids in soybean leaves. Remote Sensing Environ., 39 (3), 239–247.10.1016/0034-4257(92)90089-3
]Search in Google Scholar
[
Datt, B. (1998). Remote sensing of chlorophyll a, chlorophyll b, chlorophyll a+b, and total carotenoid content in eucalyptus leaves. Remote Sensing Environ., 66 (2), 111–121.10.1016/S0034-4257(98)00046-7
]Search in Google Scholar
[
Doupis, G., Bertaki, M., Psarras, G., Kasapakis, I., Chartzoulakis, K. (2013). Water relations, physiological behavior and antioxidant defence mechanism of olive plants subjected to different irrigation regimes. Sci. Horticult., 153, 150–156.10.1016/j.scienta.2013.02.010
]Search in Google Scholar
[
Edge, R., McGarvey, D.J., Truscott, T.G. (1997). The carotenoids as anti-oxidants — a review. J. Photochem. Photobiol. B: Biology, 41 (3), 189–200.10.1016/S1011-1344(97)00092-4
]Search in Google Scholar
[
Fernandes-Silva, A. A., Ferreira, T., Malheiro, A., Villalobos, F. (2010). Influence of different irrigation regimes on crop yield and water use efficiency of olive. Plant Soil, 333 (1), 35–47.10.1007/s11104-010-0294-5
]Search in Google Scholar
[
Fernandes-Silva, A. A., López-Bernal, A., Ferreira, T., Villalobos, F. (2016). Leaf water relations and gas exchange response to water deficit of olive (cv. Cobranēosa) in field grown conditions in Portugal. Plant Soil, 402 (1), 191–209.
]Search in Google Scholar
[
Gamon, J. A., Surfus, J. S. (1999). Assessing leaf pigment content and activity with a reflectometer. New Phytologist, 143 (1), 105–117.10.1046/j.1469-8137.1999.00424.x
]Search in Google Scholar
[
Gitelson, A. A., Keydan, G. P., Merzlyak, M. N. (2006). Three-band model for noninvasive estimation of chlorophyll, carotenoids, and anthocyanin contents in higher plant leaves. Geophys. Res. Lett., 33 (11). DOI: 10.1029/2006GL026457.10.1029/2006GL026457
]Search in Google Scholar
[
Gitelson, A. A., Merzlyak, M. N., Chivkunova, O. B. (2001). Optical properties and nondestructive estimation of anthocyanin content in plant leaves. Photochem. Photobiol., 74 (1), 38–45.10.1562/0031-8655(2001)074<0038:OPANEO>2.0.CO;2
]Search in Google Scholar
[
Guerfel, M., Baccouri, O., Boujnah, D., Chaïbi, W., Zarrouk, M (2009). Impacts of water stress on gas exchange, water relations, chlorophyll content and leaf structure in the two main Tunisian olive (Olea europaea L.) cultivars. Sci. Horticult., 119 (3), 257–263.10.1016/j.scienta.2008.08.006
]Search in Google Scholar
[
Hammad, S., Ali, O. A. M. (2014). Physiological and biochemical studies on drought tolerance of wheat plants by application of amino acids and yeast extract. Ann. Agricult. Sci., 59 (1), 133–145.10.1016/j.aoas.2014.06.018
]Search in Google Scholar
[
Hassan, M. A., Fuertes, M., Sánchez, F., Vicente, O., Boscaiu, M. (2015). Effects of salt and water stress on plant growth and on accumulation of osmolytes and antioxidant compounds in cherry tomato. Notulae Botanicae Horti Agrobotanici Cluj-Napoca, 43 (1), 1–11.
]Search in Google Scholar
[
Horton, P., Ruban, A. V., Walters, R. G. (1996). Regulation of light harvesting in green plants. Annu. Rev. Physiol. Plant Mol. Biol., 47 (1), 655–684.10.1146/annurev.arplant.47.1.655
]Search in Google Scholar
[
Jain, R., Singh, A., Singh, S., Singh, S. P., Srivastava, V., Chandra, A., Pathak, A., Solomon, S. (2017). Physio-biochemical characterization of sugarcane genotypes for waterlogging tolerance. World J. Agric. Sci., 13, 90–97.
]Search in Google Scholar
[
Jangpromma, N., Songsri, P., Thammasirirak, S., Jaisil, P. (2010). Rapid assessment of chlorophyll content in sugarcane using a SPAD chlorophyll meter across different water stress conditions. Asian J. Plant Sci., 9 (6), 368–374.10.3923/ajps.2010.368.374
]Search in Google Scholar
[
Jay, S., Maupas, F., Bendoula, R., Goretta, N. (2017). Retrieving LAI, chlorophyll and nitrogen contents in sugar beet crops from multi-angular optical remote sensing: Comparison of vegetation indices and PROSAIL inversion for field phenotyping. Field Crops Res., 210, 33–46.10.1016/j.fcr.2017.05.005
]Search in Google Scholar
[
Jin, X., Wang, K., Xiao, C., Diao, W., Wang, F., Chen, B., Li, S. (2012). Comparison of two methods for estimation of leaf total chlorophyll content using remote sensing in wheat. Field Crops Res., 135, 24–29.10.1016/j.fcr.2012.06.017
]Search in Google Scholar
[
Khaleghi, E., Arzani, K., Moallemi, N., Barzegar, M. (2012). Evaluation of chlorophyll content and chlorophyll fluorescence parameters and relationships between chlorophyll a, b and chlorophyll content index under water stress in Olea europaea cv. Dezful. Int. J. Agricult. Biosyst. Eng., 6 (8), 636–639.
]Search in Google Scholar
[
Kira, O., Linker, R., Gitelson, A. (2015). Non-destructive estimation of foliar chlorophyll and carotenoid contents: Focus on informative spectral bands. Int. J. Appl. Earth Observ. Geoinform., 38, 251–260.10.1016/j.jag.2015.01.003
]Search in Google Scholar
[
Kooistra, L., Clevers, J. (2016). Estimating potato leaf chlorophyll content using ratio vegetation indices. Remote Sensing Lett., 7 (6), 611–620.10.1080/2150704X.2016.1171925
]Search in Google Scholar
[
Kumar, P., Pal, M., Joshi, R., Sairam, R. K. (2013). Yield, growth and physiological responses of mung bean [Vigna radiata (L.) Wilczek] genotypes to waterlogging at vegetative stage. Physiol. Mol. Biol. Plants, 19 (2), 209–220.
]Search in Google Scholar
[
Lichtenthaler, H. K. (1998). The stress concept in plants: An introduction. Ann. New York Acad. Sci., 851 (1), 187–198.10.1111/j.1749-6632.1998.tb08993.x
]Search in Google Scholar
[
Lichtenthaler, H. K., Wellburn, A. R. (1983). Determinations of total carotenoids and chlorophylls a and b of leaf extracts in different solvents. Biochem. Soc. Transact., 11 (5), 591–592.10.1042/bst0110591
]Search in Google Scholar
[
Ma, G., Zhang, L., Matsuta, A., Matsutani, K., Yamawaki, K., Yahata, M., Wahyudi, A., Motohashi, R., Kato, M. (2013). Enzymatic formation of ā-citraurin from ā-cryptoxanthin and zeaxanthin by carotenoid cleavage dioxygenase4 in the flavedo of citrus fruit. Plant Physiol., 163 (2), 682–695.10.1104/pp.113.223297
]Search in Google Scholar
[
Peng, Y., Gitelson, A. A. (2011). Application of chlorophyll-related vegetation indices for remote estimation of maize productivity. Agricult. Forest Meteorol., 151 (9), 1267–1276.10.1016/j.agrformet.2011.05.005
]Search in Google Scholar
[
Rabinowitch, E. I., Govindjee (1965). The role of chlorophyll in photosyn-thesis. Sci. Amer., 213 (1), 74–83.10.1038/scientificamerican0765-74
]Search in Google Scholar
[
Ramalho, J. C., Zlatev, Z., Leitćo, A., Pais, I., Fortunato, A., Lidon, F. (2014). Moderate water stress causes different stomatal and non-stomatal changes in the photosynthetic functioning of Phaseolus vulgaris L. geno-types. Plant Biology, 16 (1), 133–146.
]Search in Google Scholar
[
Sims, D. A., Gamon, J. A. (2002). Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages. Remote Sensing Environ., 81 (2), 337–354.10.1016/S0034-4257(02)00010-X
]Search in Google Scholar
[
Sun, P., Wahbi, S., Tsonev, T., Haworth, M., Liu, S., Centritto, M. (2014). On the use of leaf spectral indices to assess water status and photosynthetic limitations in Olea europaea L. during water-stress and recovery. PLOS ONE, 9 (8), e105165.
]Search in Google Scholar
[
Warren, C. R. (2008). Rapid measurement of chlorophylls with a microplate reader. J. Plant Nutr., 31 (7), 1321–1332.10.1080/01904160802135092
]Search in Google Scholar
[
Wu, C., Niu, Z., Tang, Q., Huang, W. (2008). Estimating chlorophyll content from hyperspectral vegetation indices: Modeling and validation. Agricult. Forest Meteorol., 148 (8), 1230–1241.10.1016/j.agrformet.2008.03.005
]Search in Google Scholar
[
Wu, C., Niu, Z., Tang, Q., Huang, W., Rivard, B., Feng, J. (2009). Remote estimation of gross primary production in wheat using chlorophyll-related vegetation indices. Agricult. Forest Meteorol., 149 (6), 1015–1021.10.1016/j.agrformet.2008.12.007
]Search in Google Scholar
[
Zarco-Tejada, P., Berjón, A., López-Lozano, R., Miller, J., Martín, P., Cachorro, V., González, M., de Frutos A. (2005). Assessing vineyard condition with hyperspectral indices: Leaf and canopy reflectance simulation in a row-structured discontinuous canopy. Remote Sensing Environ., 99 (3), 271–287.10.1016/j.rse.2005.09.002
]Search in Google Scholar
[
Zhang, Y., Wang, C., Huang, J., Wang, F., Huang, R., Lin, H., Chen, F., Wu, K. (2020). Exploring the optical properties of leaf photosynthetic and photo-protective pigments in vivo based on the separation of spectral overlapping. Remote Sensing, 12 (21), 3615.10.3390/rs12213615
]Search in Google Scholar
[
Zhang, Y. J., Xie, Z. K., Wang, Y. J., Su, P. X., An, L. P., Gao, H. (2011). Effect of water stress on leaf photosynthesis, chlorophyll content, and growth of oriental lily. Russ. J. Plant Physiol., 58 (5), 844.10.1134/S1021443711050268
]Search in Google Scholar
