Abstract
The present study deals with the relationships between water status parameters of plant leaves and reflectances (Rλ) at characteristic wavelengths, between 522 and 2450 nm, as well as reflectance ratios, Rλ/R1430, Rλ/R1650, Rλ/R1850, Rλ/R1920, and Rλ/R1950, based on the air-drying experimental results of soybean (Glycine max Merr.), maize (Zea mays L.), tuliptree (Liriodendron tulipifera L.) and viburnum (Viburnum awabuki K. Koch.) plants. The water status parameters include leaf water content per unit leaf area (LWC), specific leaf water content (SWC), leaf moisture percentage of fresh weight (LMP), relative leaf water content (RWC) and relative leaf moisture percentage on fresh weight basis (RMP). Effective spectral reflectances and reflectance ratios for estimating the LWC, SWC, LMP, RWC and RMP were identified. With these spectral indices, approaches to estimating LWC, RWC and RMP were discussed. Eventually, an attempt on universal formulas was made for estimating the leaf moisture conditions of both herbaceous and woody plants as mentioned above. Moreover, applicability of these formulas was checked with the field experimental results of soybean and maize grown under water and nutrient stresses.
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References
Adams ML, Norvell WA, Peverly J H and Philpot WD 1993 Fluorescence and reflectance characteristics of manganese deficient soybean leaves: Effects of leaf age and choice of leaflet. Plant Soil 155/156, 235–238
Aoki M, Yabuki K and Totsuka T 1988 Effective spectral characteristics of leaf for the remote sensing of leaf water content. J. Agric. Meteorol. 44, 111–117.
Aoki M, Yabuki K and Totsuka T and Nishida M1986 Remote sensing of chlorophyll content of leaf: Effective spectral reflection characteristics of leaf for the evaluation of chlorophyll content in leaves of dicotyledons. Environ. Control in Biol. 24, 21–26.
Al-Abbas A H, Barr R, Hall J R, Crane F L and Baumgardner M F 1974 Spectra of normal and nutrient-deficient maize leaves. Agron. J. 66, 16–20.
Blackmer T M, Schepers J S and Varvel G E 1994 Light reflectance compared with other nitrogen stress measurements in corn leaves. Agron. J. 86, 934–938.
Blackmer T M, Schepers J S, Varvel G E and Walter-Shea E A 1996 Nitrogen deficiency detection using reflected short-wave radiation from irrigated corn canopies. Agron. J. 88, 1–5.
Carlson R E and Yarger D N 1971 An evaluation of two methods for obtaining leaf transitivity from leaf reflectance measurements. Agron. J. 63, 78–81.
Carlson R E, Yarger D N and Shaw R H 1971 Factors affecting the spectral properties of leaves with special emphasis on leaf water status. Agron. J. 63, 486–489.
Gitelson A A and Merzlyak M N 1996 Signature analysis of leaf reflectance spectra: Algorithm development for remote sensing of chlorophyll. J. Plant Physiol. 148, 494–500.
Chappelle E W, Kim M S and McMurtrey J E 1992 Ratio analysis of reflectance spectra (RARS): An algorithm for the estimation of the concentrations of chlorophyll a, and chlorophyll b, and cartooned in soybean leaves. Remote Sens. Environ. 39, 239–247.
Datt B 1999 A new reflectance index for remote sensing of chlorophyll content in higher plants: Tests using Eucalyptus leaves. J. Plant Physiol. 154, 30–36.
Gausman H W, Allen W A, Myers V I and Cardnas R 1969 Reflectance and internal structure of cotton leaves. Agron. J. 61, 374–376.
Gausman H W, Allen W A, Cardenas R and Richardson A J 1971a Effects of leaf nodal position on absorption and scattering coef-ficients and infinite reflectance of cotton leaves, Gossypium birsutum L. Agron. J. 63, 87–91.
Gausman H W, Allen W A, Escobar D E, Richardson A J and Cardenas R 1971b Age effects of cotton leaves on light reflectance, transmittance, and absorption and on water content and thickness. Agron. J. 63, 465–469.
Gupta R K and Woolley J T 1971 Spectral properties of soybean leaves. Agron. J. 63, 123–126.
Hunt E R Jr, Rock B N and Nobel R S 1987 Measurement of leaf relative water content by infrared reflectance. Remote Sens. Environ. 22, 429–435.
Inoue Y, Morinaga S and Shibayama M 1993 Non-destructive estimation of water status of intact crop leaves based on spectral reflectance measurements. Jpn. J. Crop Sci. 62, 462–469.
Maas S J and Dunlap J R 1989 Reflectance and transmittance, and absorption of light by normal, etiolated and albino corn leaves. Agron. J. 81, 105–110.
Milton N M, Ager C M, Eiswerth B A and Power M S 1989 Arsenic-and selenium-induced changes in spectral reflectance and morphology of soybean plants. Remote Sens. Environ. 30, 263–269.
Milton N M, Eiswerth B A and Ager CM1991 Effect of phosphorus deficiency on spectral reflectance and morphology of soybean plants. Remote Sens. Environ. 36, 121–127.
Masoni A, Ercoli L and Mariotti M 1996 Spectral properties of leaves deficient in iron, sulfur. Magnesium and manganese. Agron. J. 81, 937–943.
Schepers J S, Blackmer T M, Wilhelm W W and Resende M 1996 Transmittance and reflectance measurements of corn leaves from plants with different nitrogen and water supply. J. Plant Physiol. 148, 523–529.
Thomas J R, Namken J N, Oerther G F and Brown R G 1971 Estimating leaf water content by reflectance measurements. Agron. J. 63, 845–847.
Thomas J R and Gausman H W 1977 Leaf reflectance vs. leaf chlorophyll and carotenoid concentrations for eight crops. Agron. J. 69, 799–802.
Tucker C J 1980 Remote sensing of leaf water content in near infrared. Remote Sens. Environ. 10, 23–32.
Woolly J T 1971 Reflectance and transmittance of light by leaves. Plant Physiol. 47, 656–662.
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Yu, GR., Miwa, T., Nakayama, K. et al. A proposal for universal formulas for estimating leaf water status of herbaceous and woody plants based on spectral reflectance properties. Plant and Soil 227, 47–58 (2000). https://doi.org/10.1023/A:1026556613082
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DOI: https://doi.org/10.1023/A:1026556613082