Spectral characteristics of leaves diffuse reflection in conditions of soil drought: a study of soft spring wheat cultivars of different drought resistance

Dmitriy Rusakov; Elena Kanash

doi:10.17221/483/2021-PSE

Spectral characteristics of leaves diffuse reflection in conditions of soil drought: a study of soft spring wheat cultivars of different drought resistance

Dmitriy Rusakov , Elena Kanash

https://doi.org/10.17221/483/2021-PSECitation:

Rusakov D.V., Kanash E.V. (2022): Spectral characteristics of leaves diffuse reflection in conditions of soil drought: a study of soft spring wheat cultivars of different drought resistance. Plant Soil Environ., 68: 137–145.

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Quick and accurate nondestructive methods of water deficiency detection prior to the appearance of visible symptoms of plant deterioration as well as estimation of photosynthesis parameters are needed to effectively control conditions of plant growth, to manage crop productivity and to implement programs of "smart farming". The aim of our investigation was to analyse spectral characteristics of leaves diffuse reflection as evident in soft spring wheat cultivars (Triticum aestivum L.) of different drought resistance in optimal conditions and under the impact of soil drought; another objective was to determine the reflection indices that could serve as criteria in the phenotyping of genotypes according to their photosynthetic apparatus capacity and the efficiency of light use as well as in the forecasting of genotypes potential productivity and their drought resistance. Wheat plants of 4 drought-resistant and 4 non-resistant cultivars were grown under controlled conditions in the protected ground. In the vessels with simulated soil drought, the moisture content was 30% of total field capacity, while in the control sample it was 80%. Spectral characteristics of radiation reflected from the leaf surface were recorded with the spectrometer HR2000, and then reflection indices were calculated whose value is closely related to the activeness of the photosynthetic apparatus. The experiments conducted showed that in the system of interaction between the soil, the plant and the effective layer of the atmosphere all analysed diffuse reflection indices changed with the emergence of water deficit. The index of photosynthetic apparatus capacity (ChlRI) is less susceptible to short-term soil drought than the indices of the efficiency of light use in the process of photosynthesis (R₈₀₀, photochemical reflection index (PRI_mod) and flavonoid index (FRI_mod)) which change significantly, so that the degree of their change may be a reliable enough indicator of plant stress caused by water deficiency. It is advisable, however, when estimating and comparing the reaction of various plant cultivars, lines and new forms to the developed water deficiency, to include in the array of plants examined those cultivars whose optical properties and the range of their variation resulting from water deficit are known. This will ensure a more reliable ranking of analysed genotypes according to their drought resistance and will enhance the accuracy of the diagnosis.

Keywords:

optical criteria; spectral indices; various genotypes; photosynthesis efficiency; water stress

References:

Araus J.L., Slafer G.A., Reynolds M.P., Royo C. (2002): Plant breeding and drought in C3 cereals: what should we breed for? Annals of Botany, 89: 925–940. https://doi.org/10.1093/aob/mcf049

Baker N.R., Rosenqvist E. (2004): Applications of chlorophyll fluorescence can improve crop production strategies: an examination of future possibilities. Journal of Experimental Botany, 55: 1607–1621. https://doi.org/10.1093/jxb/erh196

Chaves M.M., Pereira J.S., Maroco J., Rodrigues M.L., Ricardo C.P.P., Osório M.L., Carvalho I., Faria T., Pinheiro C. (2002): How plants cope with water stress in the field? Photosynthesis and growth. Annals of Botany, 89: 907–916. https://doi.org/10.1093/aob/mcf105

Chesnokov Y.V., Kanash E.V., Mirskaya G.V., Kocherina N.V., Rusakov D.V., Lohwasser U., Börner A. (2019): QTL mapping of diffuse reflectance indices of leaves in hexaploid bread wheat (Triticum aestivum L.). Russian Journal of Plant Physiology, 66: 77–86. https://doi.org/10.1134/S1021443719010047

Dobrowski S.Z., Pushnik J.C., Zarco-Tejada P.J., Ustin S.L. (2005): Simple reflectance indices track heat and water-stress induced changes in steady-state chlorophyll fluorescence at the canopy level. Remote Sensing of Environment, 97: 403–414. https://doi.org/10.1016/j.rse.2005.05.006

Drozdova I.S., Pustovoitova T.N., Dzhibladze T.G., Barabanshchikova N.S., Zhdanova N.E., Maevskaya S.N., Bukhov N.G. (2004): Endogenous control of photosynthetic activity during progressive drought: influence of final products of photosynthesis. Russian Journal of Plant Physiology, 51: 668–675. https://doi.org/10.1023/B:RUPP.0000040755.53233.a5

Elvidge C.D., Keith D.M., Tuttle B.T., Baugh K.E. (2010): Spectral identification of lighting type and character. Sensors (Basel), 10: 3961–3988. https://doi.org/10.3390/s100403961

Filella I., Amaro T., Araus J.L., Peñuelas J. (1996): Relationship between photosynthetic radiation-use efficiency of barley canopies and the photochemical reflectance index (PRI). Physiologia Plantarum, 96: 211–216. https://doi.org/10.1111/j.1399-3054.1996.tb00204.x

Gitelson A.A., Gamon J.A., Solovchenko A. (2017): Multiple drivers of seasonal change in PRI: implications for photosynthesis. 1. Leaf level. Remote Sensing of Environment, 191: 110–116. https://doi.org/10.1016/j.rse.2016.12.014

Graeff S., Claupein W. (2003): Quantifying nitrogen status of corn (Zea mays L.) in the field by reflectance measurements. European Journal of Agronomy, 19: 611–618. https://doi.org/10.1016/S1161-0301(03)00007-8

Graeff S., Claupein W. (2007): Identification and discrimination of water stress in wheat leaves (Triticum aestivum L.) by means of reflectance measurements. Irrigation Science, 26(1): 61-70.

Hall D.O., Long S.P. (1993): Photosynthesis and the changing environment. In: Hall D.O., Scurlock J.M.O., Bolhar-Nordenkampf H.R., Leegood R.C., Long S.P. (eds): Photosynthesis and Production in a Changing Environment: A Field and Laboratory Manual. Hong Kong, Springer. ISBN-13: 978-0412429200

Kanash E.V., Osipov Y.A. (2009): Optical signals of oxidative stress in crops physiological state diagnostics. In: Van Henten E.J., Goense D., Lokhorst C. (eds.): Precision Agriculture 09. Wageningen, 7th European Conference on Precision Agriculture, 81–89.

Kanash E.V., Panova G.G., Blokhina S.Yu. (2013): Optical criteria for assessment of efficiency and adaptogenic characteristics of biologically active preparations. Acta Horticulturae, 1009: 37–44. https://doi.org/10.17660/ActaHortic.2013.1009.2

Karabourniotis G., Liakopoulos G., Bresta P., Nikolopoulos D. (2021): The optical properties of leaf structural elements and their contribution to photosynthetic performance and photoprotection. Plants, 10: 1455. https://doi.org/10.3390/plants10071455

Liu Z., Zhang F., Ma Q., An D., Li L., Zhang X.D., Zhu D.H., Li S.M. (2015): Advances in crop phenotyping and multi-environment trials. Frontiers of Agricultural Science and Engineering, 2: 28–37. https://doi.org/10.15302/J-FASE-2015051

Lizana C., Wentworth M., Martinez J.P., Villegas D., Meneses R., Murchie E.H., Pastenes C., Lercari B., Vernieri P., Horton P., Pinto M. (2006): Differential adaptation of two varieties of common bean to abiotic stress: I. Effects of drought on yield and photosynthesis. Journal of Experimental Botany, 57: 685–697. https://doi.org/10.1093/jxb/erj062

Mer C.R., Wahabzada M., Ballvora A., Pinto F., Rossini M., Cinzia P., Behmann J., On J.L., Thurau C., Bauckhage C., Kersting K., Rascher U., Mer L.P. (2012): Early drought stress detection in cereals: simplex volume maximisation for hyperspectral image analysis. Functional Plant Biology, 39: 878–890. https://doi.org/10.1071/FP12060

Merzlyak M.N., Solovchenko A.E., Smagin A.I., Gitelson A.A. (2005): Apple flavonols during fruit adaptation to solar radiation: spectral features and techniques for non-destructive assessment. Journal of Plant Physiology, 162: 151–160. https://doi.org/10.1016/j.jplph.2004.07.002

Nikolaeva M.K., Maevskaya S.N., Shugaev A.G., Bukhov N.G. (2010): Effect of drought on chlorophyll content and antioxidant enzyme activities in leaves of three wheat cultivars differing in productivity. Russian Journal of Plant Physiology, 57: 87–95. (In Russian) https://doi.org/10.1134/S1021443710010127

Pennisi E. (2008): The blue revolution, drop by drop, gene by gene. Science, 320: 171–173. https://doi.org/10.1126/science.320.5873.171

Peñuelas J., Marino G., LLusia J., Morfopoulos C., Farré-Armengol G., Filella I. (2013): Photochemical reflectance index as an indirect estimator of foliar isoprenoid emissions at the ecosystem level. Nature Communications, 4: 2604. https://doi.org/10.1038/ncomms3604

Quartacci M.F., Pinzino C., Sgherri C.L.M., Navarri-Izzo F. (1995): Lipid composition and protein dynamics in thylakoids of two wheat cultivars differently sensitive to drought. Plant Physiology, 108: 191–197. https://doi.org/10.1104/pp.108.1.191

Rosso P.H., Pushnik J.C., Lay M., Ustin S.L. (2005): Reflectance properties and physiological responses of Salicornia virginica to heavy metal and petroleum contamination. Environmental Pollution, 137: 241–252. https://doi.org/10.1016/j.envpol.2005.02.025

Sang W.-G., Kim J.-H., Shin P., Baek J.-K., Lee Y.-H., Cho J.-I., Seo M.-C. (2019): Evaluation of photochemical reflectance index (PRI) response to soybean drought stress under climate change conditions. Korean Journal of Agricultural and Forest Meteorology, 21: 261–268.

Schmitter P., Steinrücken J., Römer C., Ballvora A., Léon J.,.Rascher U., Plümer L. (2017): Unsupervised domain adaptation for early detection of drought stress in hyperspectral images. Journal of Photogrammetry and Remote Sensing, 131: 65–76. https://doi.org/10.1016/j.isprsjprs.2017.07.003

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 of Environment, 81: 337–354. https://doi.org/10.1016/S0034-4257(02)00010-X

Slaton M.R., Hunt E.R., Smith W.K. (2001): Estimating near-infrared leaf reflectance from leaf structural characteristics. American Journal of Botany, 88: 278–284. https://doi.org/10.2307/2657019

Tambussi E.A., Bartoli C.G., Beltrano J., Guiamet J.J., Araus J.L. (2000): Oxidative damage to thylakoid proteins in water-stressed leaves of wheat (Triticum aestivum). Physiologia Plantarum, 108: 398–404. https://doi.org/10.1034/j.1399-3054.2000.108004398.x

Tambussi E.A., Casadesus J., Munné-Bosch S., Araus J.L. (2002): Photoprotection in water-stressed plants of durum wheat (Triticum turgidum var. durum): changes in chlorophyll fluorescence spectral signature and photosynthetic pigments. Functional Plant Biology, 29: 35–44. https://doi.org/10.1071/PP01104

Tuberosa R., Salvi S. (2006): Genomics-based approaches to improve drought tolerance of crops. Trends Plant Science, 11: 405–412. https://doi.org/10.1016/j.tplants.2006.06.003

Yakushev V., Kanash E., Rusakov D., Blokhina S. (2017): Specific and non-specific changes in optical characteristics of spring wheat leaves under nitrogen and water deficiency. Advances in Animal Biosciences, 8: 229–232. https://doi.org/10.1017/S204047001700053X

Yakushev V.P., Kanash E.V. (2016): Evaluation of wheat nitrogen status by colorimetric characteristics of crop canopy presented in digital images. Journal of Agricultural Informatics, 7: 65–74.

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Czech Academy of Agricultural Sciences

Spectral characteristics of leaves diffuse reflection in conditions of soil drought: a study of soft spring wheat cultivars of different drought resistance

Dmitriy Rusakov , Elena Kanash

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