Biologia plantarum 62:817-825, 2018 | DOI: 10.1007/s10535-018-0821-4

Photochemical reflectance index and solar-induced fluorescence for assessing cotton photosynthesis under water-deficit stress

Y. J. Zhang1,*, M. Y. Hou1, H. Y. Xue1, L. T. Liu1, H. C. Sun1, C. D. Li1, X. J. Dong2
1 College of Agriculture, Hebei Agricultural University / Key Laboratory of Crop Growth Regulation of Hebei Province, Baoding, P.R. China
2 Texas A&M AgriLife Research and Extension Center, Uvalde, USA

Rapid and non-destructive assessment of water status is essential to enhance crop performance. This study aimed to evaluate photosynthetic performance and to monitor water status in cotton under field conditions. A two-year experiment was conducted with three irrigation regimes to measure the following parameters: photochemical reflectance index (PRI), structural independent pigment index (SIPI), water index (WI), solar-induced fluorescence (SIF; retrieved from reflectance by using Fraunhofer line-depth method), gas exchange, and chlorophyll fluorescence (CF). The results showed that PRI decreased > 30 % in moderate drought (MD) and >50 % in severe drought (SD), compared with control. PRI was found to be positively correlated with net photosynthetic rate (PN), stomatal conductance (gs), transpiration rate (Tr), actual quantum yield of photosystem II photochemistry (ΦPSII), but a negatively correlated with nonphotochemical quenching (NPQ). Solar-induced fluorescence around 761 nm (SIF761) had significant correlations with PN, ΦPSII, and NPQ, but not with maximal quantum yield of PS II photochemistry (Fv/Fm). The relationship between PRI and PN was stronger at the beginning of water stress (R2 = 0.86) than for the all stress stages (R2 = 0.54), indicating that PRI could be more effective for assessing PN of cotton at early water stress. PRI was better correlated with relative water content and photosynthetic parameters than SIPI and WI and so it could also be a good indicator to evaluate cotton water status.

Keywords: chlorophyll a fluorescence; drought; Gossypium hirsutum; net photosynthetic rate; stomatal conductance; transpiration rate
Subjects: chlorophyll a fluorescence; reflectance index; net photosynthetic rate; relative water content; solar-induced fluorescence; cotton
Species: Gossypium hirsutum

Received: June 8, 2016; Revised: February 23, 2018; Accepted: February 27, 2018; Published: August 1, 2018Show citation

ACS AIP APA ASA Harvard Chicago IEEE ISO690 MLA NLM Turabian Vancouver
Zhang, Y.J., Hou, M.Y., Xue, H.Y., Liu, L.T., Sun, H.C., Li, C.D., & Dong, X.J. (2018). Photochemical reflectance index and solar-induced fluorescence for assessing cotton photosynthesis under water-deficit stress. Biologia plantarum, 62(4), 817-825. doi: 10.1007/s10535-018-0821-4.
Download citation
  • BibTeX (.bib)
  • Bookends (.ris)
  • EasyBib (.ris)
  • EndNote (.enw)
  • EndNote 8 (.xml)
  • ISI WoS (.isi)
  • Medlars (.medlars)
  • Mendeley (.ris)
  • MODS (.xml)
  • Papers (.ris)
  • RefWorks (.txt)
  • RefManager (.ris)
  • RIS (.ris)
  • MS Word (.xml)
  • Zotero (.ris)

    • Open full article

    Supplementary files

    Download filebpl-201804-0022_S1.pdf

    File size: 69.99 kB

    References

    1. Amorós-López, J., Gómez-Chova, L., Vila-Francés, J., Alonso, L., Calpe, J., Moreno J., Del Valle-Tascon, S.: Evaluation of remote sensing of vegetation fluorescence by the analysis of diurnal cycles. - Int. J. Remote Sens. 29: 5423-5436, 2008. Go to original source...
    2. Carter, G.A., Jones, J.H., Mitchell, R.J. Brewer, C.H.: Detection of solar-excited chlorophyll a fluorescence and leaf photosynthetic capacity using a Fraunhofer line radiometer. - Remote Sens. Environ. 55: 89-92, 1996. Go to original source...
    3. Damm, A., Guanter, L., Laurent, V.C.E., Schaepman, M.E., Schickling, A., Rascher, U.: FLD-based retrieval of suninduced chlorophyll fluorescence from medium spectral resolution airborne spectroscopy data. - Remote Sens. Environ. 147: 256-266, 2014. Go to original source...
    4. Dobrowski, S.Z., Pushnik, J.C., Zarco-Tejada, P.J. Ustin, S.L.: Simple reflectance indices track heat and water stressinduced changes in steady-state chlorophyll fluorescence at the canopy scale. - Remote Sens. Environ. 97: 403-414, 2005. Go to original source...
    5. Eitel, J.U.H., Gessler, P.E., Smith, A.M.S., Robberecht, R.: Suitability of existing and novel spectral indices to remotely detect water stress in Populus spp. - Forest. Ecol. Manage. 229: 170-182, 2006. Go to original source...
    6. Gamon, J.A., Peñuelas, J., Field, C.B.: A narrow-wave band spectral index that tracks diurnal changes in photosynthetic efficiency. - Remote Sens. Environ. 41: 35-44, 1992. Go to original source...
    7. Gamon, J.A., Serrano, L., Surfus, J.: The photochemical reflectance index: an optical indicator of photosynthetic radiation-use efficiency across species, functional types and nutrient levels. - Oecologia 112: 492-501, 1997. Go to original source...
    8. Krause, G.H., Weis, E.: Chlorophyll fluorescence and photosynthesis: the basics. - Annu. Rev. Plant Physiol. Plant mol. Biol. 42: 313-349, 1991. Go to original source...
    9. Le Houerou, H.N.: Climate change, drought and desertification. J. arid Environ. 34: 133-185, 1996. Go to original source...
    10. Liu, L.Y., Zhang, Y.J., Wang, J.H. Zhao, C.J.: Detecting solarinduced chlorophyll fluorescence from field radiance spectra based on the Fraunhofer line principle. - IEEE Trans. Geosci. Remote. 43: 827-832, 2005.
    11. Liu, L.Y., Zhao, J.J., Guan, L.L.: Tracking photosynthetic injury of Paraquat-treated crop using chlorophyll fluorescence from hyperspectral data. - Eur. J. Remote Sens. 46: 459-473, 2013.
    12. Loka, D.A., Oosterhuis, D.M., Ritchie, G.L.: Water-deficit stress in cotton. - In: Oosterhuis, D.M. (ed.): Stress Physiology in Cotton. Pp. 37-72. The Cotton Foundation, Cordova 2011.
    13. Maier, S.W., Günther, K.P., Stellmes, M.: Sun-induced fluorescence: a new tool for precision farming. - In: Van Toai, T., Major, D., McDonald, M., Schepers, J., Tarpley, L. (ed.): Digital Imaging and Spectral Techniques: Applications to Precision Agriculture and Crop Physiology. Pp. 209-222. American Society of Agronomy, Madison 2003.
    14. Marino, G., Pallozzi, E., Cocozza, C., Tognetti, R., Giovannelli, A., Cantini, C., Centritto, M.: Assessing gas exchange, sap flow and water relations using tree canopy spectral reflectance indices in irrigated and rainfed Olea europaea L. - Environ. exp. Bot. 99: 43-52, 2014. Go to original source...
    15. Maxwell, K., Johnson, G.N.: Chlorophyll fluorescence - a practical guide. - J. exp. Bot. 51: 659-668, 2000. Go to original source...
    16. Meroni, M., Colombo, R.: Leaf level detection of solar induced chlorophyll fluorescence by means of a subnanometer resolution spectroradiometer. - Remote Sens. Environ. 13: 438-448, 2006. Go to original source...
    17. Meroni, M., Rossini, M., Guanter L. Alonso, L., Rascher, U., Colombo, R.: Remote sensing of solar-induced chlorophyll fluorescence: review of methods and applications. - Remote Sens. Environ. 113: 2037-2051, 2009. Go to original source...
    18. Mobasheri, M.R., Fatemi, S.B.: Leaf equivalent water thickness assessment using reflectance at optimum wavelengths. - Theor. exp. Plant Physiol. 25: 196-202, 2013. Go to original source...
    19. Moya, I., Camenen, L., Evain, S. Goulas, Y., Cerovic, Z.G., Latouche, G., Flexas, J., Ounis, A.: A new instrument for passive remote sensing 1. Measurements of sunlight-induced chlorophyll fluorescence. - Remote Sens. Environ. 91: 186-197, 2004. Go to original source...
    20. Nakaji, T., Oguma, H., Fujinuma, Y.: Seasonal changes in the relationship between photochemical reflectance index and photosynthetic light use efficiency of Japanese larch needles. - Int. J. Remote Sens. 27: 493-509, 2006. Go to original source...
    21. Naumann, J.C., Bissett, S.N., Young, D.R. Edwards, J., Anderson, J.E.: Diurnal patterns of photosynthesis, chlorophyll fluorescence, and PRI to evaluate water stress in the invasive species, Elaeagnus umbellata Thunb. - Trees 24: 237-245, 2010. Go to original source...
    22. Ni, Z.Y., Liu, Z.G., Huo, H.Y. Li, Z.L., Nerry, F., Wang, Q.S., Li, X.W.: Early water stress detection using leaf-level measurements of chlorophyll fluorescence and temperature data. - Remote Sens. 7: 3232-3249, 2015. Go to original source...
    23. Panigada, C., Rossini, M., Meroni, M. Cilia, C., Busetto, L., Amaducci, S., Boschetti, M., Cogliati, S., Picchi, V., Pinto, F., Marchesi, A., Colombo, R.: Fluorescence, PRI and canopy temperature for water stress detection in cereal crops. - Int. J. appl. Earth. Obs. Geoinf. 30: 167-178, 2014. Go to original source...
    24. Peñuelas, J., Baret, F., Filella, I.: Semi-empirical indices to assess carotenoids/chlorophyll a ratio from leaf spectral reflectance. - Photosynthetica. 31: 221-230, 1995a. Peñuelas, J., Filella, L.: Visible and near-infrared reflectance techniques for diagnosing plant physiological status. - Trends Plant Sci. 3:151-156, 1998.
    25. Peñuelas, J., Filella, I., Gamon, J.A.: Assessment of photosynthetic radiation-use efficiency with spectral reflectance. - New Phytol. 131: 291-296, 1995b. Go to original source...
    26. Peñuelas, J., Llusia, J., Piñol, J. Finella, I.: Photochemical reflectance index and leaf photosynthetic radiation-use efficiency assessment in Mediterranean trees. - Int. J. Remote Sens. 18: 2863-2868, 1997. Go to original source...
    27. Perez-Priego, O., Zarco-Tejada, P.J., Miller, J.R. Sepulcre-Canto, G., Fereres, E.: Detection of water stress in orchard trees with a high-resolution spectrometer through chlorophyll fluorescence in-filling of the O2-A band. - IEEE Trans. Geosci. Remote. 43: 2860-2869, 2005. Go to original source...
    28. Plascyk, J.A., Gabriel, F.C.: The MKII Fraunhofer line discriminator (FLD-II) for airborne and orbital remote sensing of solar-stimulated luminescence. - Optical Engn. 14: 339-346, 1975. Go to original source...
    29. Rahimzadeh-Bajgiran, P., Munehiro, M., Omasa, K.: Relationships between the photochemical reflectance index (PRI) and chlorophyll fluorescence parameters and plant pigment indices at different leaf growth stages. - Photosynth. Res. 113: 261-271, 2012. Go to original source...
    30. Rascher, U., Pieruschka, R.: Spatio-temporal variations of photosynthesis: the potential of optical remote sensing to better understand and scale light use efficiency and stresses of plant ecosystems. - Precision Agr. 9: 355-366, 2008. Go to original source...
    31. Sarlikioti, V., Driever, S.M., Marcelis, L.F.M.: Photochemical reflectance index as a mean of monitoring early water stress. - Ann. appl. Biol. 157: 81-89, 2010. Go to original source...
    32. Suárez, L., Zarco-Tejada, P.J., Sepulcre-Cantó, G. Pérez-Priego, O., Miller, JR., Jiménez-Muñoz, J.C., Sobrino, J.A.: Assessing canopy PRI for water stress detection with diurnal airborne imager. - Remote Sens. Environ. 112: 560-575, 2008. Go to original source...
    33. Sun, P., Grignetti, A., Liu, S. Casacchia, R., Salvatori, R., Pietrini, F., Loreto, F., Centritto, M.: Associated changes in physiological parameters and spectral reflectance indices in olive (Olea europaea L.) leaves in response to different levels of water stress.-Int. J. Remote Sens. 29: 1725-1743, 2008. Go to original source...
    34. Sun, P., Wahbi, S., Tsonev, T. Haworth, M., Liu, S., Centritto, M.: 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: e105165, 2014. Go to original source...
    35. Van Gaalen, K.E., Flanagan, L.B., Peddle, D.R.: Photosynthesis, chlorophyll fluorescence and spectral reflectance in Sphagnum moss at varying water contents. - Oecologia 153: 19-28, 2007. Go to original source...
    36. Winkel, T., Méthy, M., Thénot, F.: Radiation use efficiency, chlorophyll fluorescence, and reflectance indices associated with ontogenic changes in water-limited Chenopodium quinoa leaves. - Photosynthetica 40: 227-232, 2002. Go to original source...
    37. Wong, C.Y., Gamon, J.A.: Three causes of variation in the photochemical reflectance index (PRI) in evergreen conifers. - New Phytol. 206: 187-195, 2015 Go to original source...
    38. Zarco-Tejada, P.J., Berni, J.A.J., Suárez, L. Miller, J.R.: Imaging chlorophyll fluorescence with an airborne narrow-band multispectral camera for vegetation stress detection. - Remote Sens. Environ. 113: 1262-1275, 2009. Go to original source...
    39. Zarco-Tejada, P.J., Miller, J.R., Mohammed, G.H. Noland, T.L., Sampson, P.H.: Estimation of chlorophyll fluorescence under natural illumination from hyperspectral data. - Int. J. appl. Earth Obs. 3: 321-327, 2001. Go to original source...
    40. Zhang, Q, Peng, J.T, Singh, V.P. Li, J.F., Chen, Y.Q.D.: Spatiotemporal variations of precipitation in arid and semiarid regions of China: The Yellow River basin as a case study. - Global Planet Change 114: 38-49, 2014. Go to original source...

    Return to the content