D:\106728751.doc 12-02-2016 9:51:37 Investigation of water stress of cork oak leafs and pine needles based on integral fluorescence measurements and spectra characteristics Andrei .B. Utkina*, Jorge Silva, Rui Vilarc, Alexander Lavrova, Nuno Santos a a INOV, Rua Alves Redol, 9, 1000-029, Lisbon, Portugal b University of Lisbon, Lisbon, Portugal c Instituto Superior Técnico, DepMat, Av. Rovisco Pais, 1049-001, Lisbon, Portugal Abstract Introduction Idea to use laser induced fluorescence (LIF) from chlorophyll of plants for estimation of its physiological status was firstly suggested and realized in [1] for lettuce. Later investigations of physiological status for various species were conducted. For example it is possible to mention work of Chappelle et al [2] who investigated corn and soybeans, Edner et al [3], Saito et al [4] Astafurova et al [5], Richards et al [6], Fateeva et al [7, 8], Zavorueva and Zavoruev [9], Grishin et al [10], Zuev, Zueva, and Grishaev [11] and many others. One of the specific problems that are investigated by LIF of plants is influence of water deficiency on fluorescence spectra. This problem is examined for olive, rosemary and * Corresponding author. Tel.: +351-213100426; fax: +351-213100401. E-mail address: andrei.utkin@inov.pt 1 D:\106728751.doc 12-02-2016 9:51:37 lavender by Nogues and Baker [13], for Phillyrea angustifolia L. (Oleaceae) by MunneBosch and Penuelas [14], for grass Setaria sphacelata by Marques da Silva e Arrabaca [15] for maize by Xu et al [16] and for many other plants by various researches. Estimation of physiological status of the plant is possible on the base of both the ratio Fv/Fm (see later) and chlorophyll fluorescence spectra. There are two methods of estimation of plant physiological status: Analysis of intensity of specific wavelength for control healthy plant and plant with some physiological deficiency (water or nutrient stress, disease, etc.). Analysis of the ratio of signal intensities for two specific wavelengths for control healthy plant and plant with some physiological deficiency. In the present work second method (analysis of the ratio of signal intensities for two specific wavelengths) is used for analysis of physiological status of leafs and needles in the process of drying. In particular use of the ratio of fluorescence intensity at 685 nm to 740 nm that is suggested in several papers, see for example [3, 12], will be used in the present work. Instrumentation and material Equipment for measurement of fluorescence spectra The layout of the equipment for measurement of fluorescence spectra is shown in Fig. 1. The source of the excitation of fluorescence is Nd:YAG laser that generates 20 mJ pulses at the second harmonic (532 nm) with repetition rate of 10 Hz and length of 5 ns. The outgoing beam is directed to the vegetation. Fluorescence from vegetation passes through longpass filter with cut-off wavelength of 550 nm, which prevents detector from the damaging by the radiation at laser wavelength. Then radiation is 2 D:\106728751.doc 12-02-2016 9:51:37 collected by the collimator with optics diameter of 20 mm and transported by fiber optic cable to Ocean Optics spectrometer. Collimator is designed for collecting without losses fluorescence radiation from vegetation in the range of 650 to 800 nm. Fiber optic cable transfers signal to Ocean Optics spectrometer. Spectrometer is controlled by PC software. Synchronization pulse, that goes from laser to PC, fixes the time of begin and end of spectrometer functioning to diminish the quantity of background radiation entering in collimator. To diminish the signal noise 10 returns from 10 laser pulses are averaged. Then they are stored in PC. Fluorometry Estimation of vegetation physiological status is based on Kautsky effect [17] that was open up by Kautsky and Hirsh in 1931. In the modern treatment physiological status is estimated in accordance with following procedure: Leaf (or needle) that is previously kept in the darkness during approximately 10 minutes is lighted by bright red LED (wavelength ~650 nm, intensity at leaf surface ~3000 to 6000 µmolm-2s-1) during ~60 s. Fluorescence return from leaf, which is schematically shown in Fig. 2, increases from zero to the ground value F0 very quickly (during ~10ns) and then during ~1 s fluorescence increases to its maximum value Fm. Efficiency of photosystem is given by Fv/Fm=(Fm-F0)/Fm. In the healthy leaves this value is approximately equals ~0.8 independently the species. Diminution of Fv/Fm testifies about existence some stress condition of leaf. Plant material Ten leaves of mature cork tree and 40 needles of Mediterranean pine (four needles in every packaging) were used in the process of 8 or 12 days of experiments. Every 3 D:\106728751.doc 12-02-2016 9:51:37 measurement included weighting of the pattern, measurement of Fv/Fm using PEA device and obtaining of fluorescence spectrum. As the drying of cork tree leave is much quicker than drying of needle measurements for the leaves were conducted 2 times per day and for needle one time per day. Experimental results Experiments for cork oak were conducted in September 2009. Ten leaves were pulled off from the tree branch. Then they were dried in the room with temperature about 240 C and relative humidity about 40%. Leaves weight, fluorescence spectra, and parameter Fv / Fm were measured every day excepting Saturday and Sunday. Evolution of fluorescence spectra of one of the leaves for 6 days (1st, 2nd, 3rd, 4th, 5th, and 8th) is depicted in Fig. 3. Maximum of the spectrum in the first day is for far red max 738 nm. As the leaf is drying maximum of the spectrum is changing a bit to the short part of the range. In 8th day max is about 717 nm. It is seen that as the leaf is drying the local maximum in the spectrum near wavelength of 685 nm is appearing. Variation of Fv / Fm and I 685 / I 740 with time for cork oak leaves is presented in Fig. 4. Fig. 3a.) vs time for cork oak. Averaging over 10 samples. The error bars denote the standard deviation. The one of the purposes of the present investigation is to estimate correlation between variation with time Fv / Fm and I 685 / I 740 . For calculation of correlation coefficient formula from Korn and Korn [18] is used: n R yi y zi z i 1 n 2 n yi y zi z i 1 , (1) i 4 D:\106728751.doc 12-02-2016 9:51:37 where i is the number of the test, n maximum number of the tests (for our problem n 6 ), yi Fv / Fm i , zi I 685 / I 740 i , and y and z are the sample means. For experiments with cork oak we have R 0.99 . This result testifies that thee strong unticorrelation exists between. So it is not necessary to measure both variables, we need only to measure one of them. Previously it was confirmed that ratio Fv / Fm correlates strongly with chlorophyll concentration. So, our results have showed that measurement of I 685 / I 740 allows to estimate chlorophyll concentration. Experiments for pine were conducted in December 2009. Forty needles (gathered in ten bundles of needles, four needles in every bundle) were pulled off from the tree branch. Then they were dried in the room with temperature about 200 C and relative humidity about 60%. Needles weight, fluorescence spectra, and parameter Fv / Fm were measured every day excepting Saturday and Sunday. As the drying of needles is slower for the needle’s part near base and quicker near needle’s tip, measurements of spectra and Fv / Fm were conducted three times for every needle bundle: near base, in the middle, and neat tip. Evolution of fluorescence spectra of one of the needles for 8 days (1st, 3rd, 4th, 8th, 9th, 10th, 11th, and 12th) is depicted in Figs. 5 to 7. Maximum of It is seen that, as the needles are drying the local maximum of fluorescence spectrum near 685 nm is more pronounced. Variation with time Fv / Fm and I 685 / I 740 .for three positions is presented in Figs. 8, and 9. Correlation coefficient between time dependence of Fv / Fm and I 685 / I 740 that was calculated also using equation (1) equals, respectively, 0.91, 0.99, and 0.98 for positions of observation: near needle base, in the middle, and neat tip. So, for needle we also may conclude that ratio I 685 / I 740 may be used for estimation of chlorophyll concentration. 5 D:\106728751.doc 12-02-2016 9:51:37 In accordance with Barrs [19] relative water content in biology sample is calculated using the equation: FW DW RWC TW DW 100 , where DW is dry weight of the sample, TW is fully turgid fresh weight, and FW is varying in the process of experiment weight of the sample. In the end of every series of experiments biological sample is placed in water during two days (for leafs), or four days (for needles), and after reweighting TW is obtained. DW is obtained after drying of the samples at 800C during three days. Statistical analysis . Discussion . Acknowledgement The authors wish to thank Mr. Bruno Alves for his help in organizing the experiments. This research was partially supported by the LIF-LIDAR project of the Portuguese Ministry of Agriculture. 6 D:\106728751.doc 12-02-2016 9:51:37 References 1. E.J. Brach, J.M. Molnar and J.J. 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Li, Changes in Chlorophyll Fluorescence in Maize Plants with Imposed Rapid Dehydration at Different Leaf Ages, J Plant Growth Regul. (2008) 27:83–92 17. Kautsky H and Hirsch A (1931) Neue Versuche zur Kohlensäureassimilation, Naturwissenschaften, 19: 964 18. G. A. Korn, T. M. Korn, Mathematical Handbook For Scientists And Engineers, New-York, McGraw-Hill Book Company, 1961, 1130pp. 19. Barrs HD, Determination of water deficits in plant tissues. In: Kozlowski TT (ed) Water deficits and plant growth, vol. I. New York: Academic Press, pp 235–368, 1968 20. Anabela Bernardes da Silva, Jorge Marques da Silva, Mario Pádua, Modulated chlorophyll a fluorescence: a tool for teaching photosynthesis, Journal of Biological Education, 2007, Volume 41 Number 4, Autumn 2007 Laser monitoring of the atmosphere, Ed.: E. D. Hinkley, (Springer-Verlag, Berlin, 1976). 21. Jorge Marques da Silva, Maria Celeste Arrabac¸ Photosynthesis in the waterstressed C4 grass Setaria sphacelata is mainly limited by stomata with both rapidly and slowly imposed water deficits, Physiological plantarum, 121: 409– 420. 2004 22. T. Antal A. Rubin, In vivo analysis of chlorophyll a fluorescence induction, Photosynthesis Research, (2008) 96:217–226 23. Salvador Nogues, Neil R. Baker, Effects of drought on photosynthesis in Mediterranean g plants grown under enhanced UV-B radiation, Journal of experimental botany, v51, N348, 1309-1317, 2000 24. Sergi Munne-Bosch, Josep Penuelas, Photo- and antioxidative protection, and a role for salicylic acid during drought and recovery in field-grown Phillyrea angustifoliaplants, Planta (2003) 217: 758–766 25. Ana E. Carmo-Silva, Ana S. Soares, Jorge Marques da Silva, Anabela Bernardes da Silva, Alfred J. 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Marcassa, Detection of citrus canker in citrus plants using laser induced fluorescence spectroscopy , Precision Agric, Volume 10, Number 4 / August, 2009 30. Jeffrey T. Richards, Andrew C. Schuerger, Gene Capelle, James A. Guikema, Laser-induced fluorescence spectroscopy of dark- and light-adapted bean (Phaseolus vulgaris L.) and wheat (Triticum aestivum L.) plants grown under three irradiance levels and subjected to fluctuating lighting conditions, Remote Sensing of Environment 84 (2003) 323–341 31. Lawrence A. Corp, James E. McMurtrey, Elizabeth M. Middleton, Charles L. Mulchi, Emmett W. Chappelle, Craig S.T. Daughtry, Fluorescence sensing systems: In vivo detection of biophysical variations in field corn due to nitrogen supply, Remote Sensing of Environment 86 (2003) 470–479 32. A. Ounis, Z.G. Cerovic, J.M. Briantais, I. Moya, Dual-excitation FLIDAR for the estimation of epidermal UVabsorption in leaves and canopies, Remote Sensing of Environment 76 (2001) 33± 48 33. Z. Szigeti, Physiological status of cultivated plants characterised by multiwavelenght fluorescence imaging, Acta Agronomica Hungarica, 56(2), pp. 223– 234 (2008) 34. Emmett W. Chappelle, Frank M. Wood, Jr., James E. McMurtrey III, and W. Wayne Newcomb, "Laser-induced fluorescence of green plants. 1: A technique for the remote detection of plant stress and species differentiation," Appl. Opt. 23, 134-138 (1984) 35. Yasunori Saito, Ryuta Saito, Takuya D. Kawahara, Akio Nomura and Satomi Takeda, Development and performance characteristics of laser-induced fluorescence imaging lidar for forestry applications, Forest Ecology and Management Volume 128, Issues 1-2, 15 March 2000, Pages 129-137 36. T. P. Astafurova, A. I. Grishin , A. P. Zotikova, V. M. Klimkin, G. G. Matvienko, O. A. Romanovskii, V. G. Sokovikov, V. I. Timofeev and O. V. Kharchenko, Remote Probing of Plant Photosynthetic Apparatus by Measuring Laser-Induced Fluorescence , Russian Journal of Plant Physiology, Volume 48, Number 4 / July, 2001 Pages 518-522 9 D:\106728751.doc 12-02-2016 9:51:37 Leaf or needle Nd:YAG laser, 532 nm Synch Fluorescence from vegetation Longpass filter Ocean Optics Light gathering optics spectrometer Optical fiber Control and data acquisition Fig. 1. Layout of the system for obtaining laser induced fluorescence spectra of vegetation 10 D:\106728751.doc 12-02-2016 9:51:37 Fluorescence signal, a.u. Fm 5 4 3 2 1 0 1E-5 F0 1E-4 1E-3 0,01 0,1 1 Time, s Fig. 2. A typical fluorescence signal excited by red light from dark adapted vegetation sample 11 D:\106728751.doc 12-02-2016 9:51:37 Normalized signal 1,00 8th day 5th day 0,75 4th day 3rd day 0,50 2nd day 1st day 0,25 0,00 650 700 750 800 Wavelength, nm Fig. 3. Fluorescence spectra of the leaf of cork oak during 8 days. 12 D:\106728751.doc 12-02-2016 9:51:37 Fv/Fm a 1.0 0.8 0.6 0.4 0.2 0.0 0 48 96 144 I685/I74 b 1.0 0 0.8 0.6 0.4 0.2 0.0 0 48 96 144 Time, hours Fig. 4. Fv/Fm (a) and I685/I740 (b) vs time for cork oak. Averaging over 10 samples. The error bars denote the standard deviation 13 D:\106728751.doc 12-02-2016 9:51:37 Normalized signal 264 hours 240 hours 1.00 216 hours 0.75 192 hours 168 hours 0.50 72 hours 48 hours 0.25 0 hours 0.00 650 700 λ, nm 750 800 Fig. 5. Fluorescence spectra near needle’s base during 12 days (sample 06). 14 D:\106728751.doc 12-02-2016 9:51:37 Normalized signal 12th day 1.00 11th day 10th day 0.75 9th day 0.50 8th day 4th day 0.25 48 hours 1st day 0.00 650 700 750 800 λ, nm Fig. 6. Fluorescence spectra in the middle of needle during 12 days (sample15). 15 D:\106728751.doc 12-02-2016 9:51:37 Normalized signal 1.00 264 hours 10th day 9th day 0.75 8th day 0.50 5th day 4th day 0.25 48 hours 1st day 0.00 650 700 750 800 λ, nm Fig. 7. Fluorescence spectra near needle’s tip during 12 days (sample 24). 16 D:\106728751.doc 12-02-2016 9:51:37 Fv/Fm a 0.8 0.6 0.4 0.2 0.0 0 48 96 144 192 240 0.8 b 0.6 0.4 0.2 0.0 0 48 96 144 192 240 0.8 c 0.6 0.4 0.2 0.0 0 48 96 144 Time, hours 192 240 Fig. 8. Fv/Fm vs time for pine needles. Averaging over 10 samples. The error bars denote the standard deviation 17 D:\106728751.doc 12-02-2016 9:51:37 I685/I740 a 1.6 1.2 0.8 0.4 0.0 0 48 96 144 192 240 192 240 1.6 b 1.2 0.8 0.4 0.0 1.6 0 48 96 144 c 1.2 0.8 0.4 0.0 0 48 96 144 192 240 Time, hours Fig. 9. I685/F740 vs time for pine needles. Averaging over 10 samples. The error bars denote the standard deviation 18 D:\106728751.doc 12-02-2016 9:51:37 Fv/Fm 0.8 0.6 0.4 0.2 0.0 0 20 40 60 80 100 60 80 100 RWC, % I685/I740 1.2 1.0 0.8 0.6 0.4 0.2 0.0 0 20 40 RWC, % Fig. 10. Fv/Fm and I685/I740 vs RWC for cork oak. Results for ten samples. Every symbol co-ordinates with specific sample. 19 D:\106728751.doc 12-02-2016 9:51:37 20 D:\106728751.doc 12-02-2016 9:51:37 21