Free Standard AU & NZ Shipping For All Book Orders Over $80!
Register      Login
Functional Plant Biology Functional Plant Biology Society
Plant function and evolutionary biology
RESEARCH ARTICLE

Phylloxera-infested grapevines have reduced chlorophyll and increased photoprotective pigment content — can leaf pigment composition aid pest detection?

Annette L. Blanchfield A B , Sharon A. Robinson C E , Luigi J. Renzullo B D and Kevin S. Powell A B
+ Author Affiliations
- Author Affiliations

A Primary Industries Research Victoria, Department of Primary Industries, Rutherglen Centre, RMB 1145, Chiltern Valley Road, Rutherglen, Vic. 3685, Australia.

B Cooperative Research Centre for Viticulture, PO Box 154, Glen Osmond, SA 5064, Australia.

C Institute for Conservation Biology, Department of Biological Sciences, University of Wollongong, Wollongong, NSW 2522, Australia.

D CSIRO Land and Water, GPO Box 1666, Canberra, ACT 2601, Australia.

E Corresponding author. Email: sharonr@uow.edu.au

F This paper originates from a presentation at ECOFIZZ 2005, North Stradbroke Island, Queensland, Australia, November 2005.

Functional Plant Biology 33(5) 507-514 https://doi.org/10.1071/FP05315
Submitted: 20 December 2005  Accepted: 6 March 2006   Published: 2 May 2006

Abstract

Grape phylloxera (Daktulosphaira vitifoliae Fitch) is a root-feeding pest of grapevines. In Australia, phylloxera-infested vineyards are subjected to quarantine restrictions and early detection remains vital for the timely implementation of post-outbreak quarantine protocols. Current detection methods rely on time-consuming ground surveying, which involves detailed examination of grapevine (Vitis vinifera L.) root systems. Leaf pigment composition is often a sensitive indicator of plant stress. The increasing popularity of remote sensing systems, which exploit those changes in pigments observed with plant stress, offers a real possibility for the development of a phylloxera-specific remote detection system. Our objective was to investigate changes in grapevine leaf pigments associated with phylloxera infestation and to relate any changes to appropriate reflectance indices. This was achieved with a glasshouse experiment in which the responses of two vine cultivars (Cabernet Sauvignon and Shiraz) to phylloxera infestation were compared with their responses to water and nitrogen deficiencies. The responses of leaf pigments to phylloxera infestation were also investigated in Pinot Noir and Cabernet Sauvignon grapevines grown under field conditions. A reduction in the leaf chlorophyll content and an increase in photoprotective pigment concentrations were observed in leaves of phylloxera-infested grapevines compared with uninfested vines. The photochemical reflectance index (PRI) was found to be most closely associated with the ratio of total carotenoid to chlorophyll in these vines.

Keywords: β-carotene, carotenoids, chlorophylls, phylloxera, phylloxera detection, xanthophyll cycle pigments.


Acknowledgments

This research was supported by the Commonwealth Cooperative Research Centre Program through the CRC for Viticulture and a University of Wollongong New Partnership Grant. We gratefully acknowledge the grape growers in north-eastern Victoria, Australia, for allowing us to conduct fieldwork on their vineyards.


References


Balachandran S, Hurry VM, Kelley SE, Osmond CB, Robinson SA, Rohozinski J, Seaton GGR, Sims DA (1997) Concepts of plant biotic stress. Some insights into the stress physiology of virus-infected plants, from the perspective of photosynthesis. Physiologia Plantarum 100, 203–213.
Crossref | GoogleScholarGoogle Scholar | open url image1

de Benedictis JA, Granett J (1993) Laboratory evaluation of grape roots as hosts of Californian grape phylloxera biotypes. American Journal of Enology and Viticulture 44, 285–291. open url image1

Bertamini M, Nedunchezhian N (2004) Photosynthetic responses for Vitis vinifera plants grown at different photon flux densities under field conditions. Biologia Plantarum 48, 149–152.
Crossref | GoogleScholarGoogle Scholar | open url image1

Bertamini M, Muthuchelian K, Nedunchezhian N (2004) Effect of grapevine leafroll on the photosynthesis of field grown grapevine plants (Vitis vinifera L. cv. Lagrein). Journal of Phytopathology 152, 145–152.
Crossref | GoogleScholarGoogle Scholar | open url image1

Bertamini M, Muthuchelian K, Rubinigg M, Zorer R, Nedunchezhian N (2005) Low-night temperature (LNT) induced changes of photosynthesis in grapevine (Vitis vinifera L.) plants. Plant Physiology and Biochemistry 43, 693–699.
Crossref | GoogleScholarGoogle Scholar | PubMed | open url image1

Carter G (1993) Responses of leaf spectral reflectance to plant stress. American Journal of Botany 80, 239–243.
Crossref |
open url image1

Carter G, Knapp A (2001) Leaf optical properties in higher plants: linking spectral characteristics to stress and chlorophyll concentration. American Journal of Botany 88, 677–684.
PubMed |
open url image1

Chaumont M, Morot-Gaudry JF, Foyer CH (1995) Effects of photoinhibitory treatment on CO2 assimilation, the quantum yield of CO2 assimilation, D1 protein, ascorbate, glutathione and xanthophyll contents and the electron transport rate in vine leaves. Plant, Cell & Environment 18, 1358–1366. open url image1

Chaumont M, Osorio ML, Chaves MM, Vanacker H, Morot-Gaudry JF, Foyer CH (1997) The absence of photoinhibition during the mid-morning depression of photosynthesis in Vitis vinifera grown in semi-arid and temperate climates. Journal of Plant Physiology 150, 743–751. open url image1

Corrie AM, Crozier RH, van Heeswijck R, Hoffman AA (2002) Clonal reproduction and population genetic structure of grape phylloxera, Daktulosphaira vitifoliae, in Australia. Heredity 88, 203–211.
Crossref | PubMed |
open url image1

Demmig B, Winter K, Kruger A, Czygan F-C (1988) Zeaxanthin and the heat dissipation of excess light energy in Nerium oleander exposed to a combination of high light and water stress. Plant Physiology 87, 17–24. open url image1

Demmig-Adams B, Adams WW (1992) Carotenoid composition in sun and shade leaves of plants with different life forms. Plant, Cell & Environment 15, 411–419. open url image1

Dunn JL, Turnbull JD, Robinson SA (2004) Comparison of solvent regimes for the extraction of photosynthetic pigments from leaves of higher plants. Functional Plant Biology 31, 195–202.
Crossref | GoogleScholarGoogle Scholar | open url image1

Edwards J, Lewis M, Powell K, Hackworth P, Lamb D (2004) Identification of phylloxera from high resolution infrared aerial imagery: a comparative study between airborne imagery type. Australian Grapegrower & Winemaker 488, 51–54. open url image1

Evain S, Flexas J, Moya I (2004) A new instrument for passive remote sensing: 2. Measurement of leaf and canopy reflectance changes at 531 nm and their relationship with photosynthesis and chlorophyll fluorescence. Remote Sensing of Environment 91, 175–185.
Crossref | GoogleScholarGoogle Scholar | open url image1

Flexas J, Briantais JM, Cerovic Z, Medrano H, Moya I (2000) Steady-state and maximum chlorophyll fluorescence responses to water stress in grapevine leaves: a new remote sensing system. Remote Sensing of Environment 73, 283–297.
Crossref | GoogleScholarGoogle Scholar | open url image1

Flexas J, Hendrickson L, Wah Soon C (2001) Photoinactivation of photosystem II in high light-acclimated grapevines. Australian Journal of Plant Physiology 28, 755–764. open url image1

Frazier P, Whiting J, Powell K, Lamb D (2004) Characterising the development of grape phylloxera infestation with multi-temporal near-infrared aerial photography. Australian Grapegrower & Winemaker 32nd Annual Technical Edition , 133–136. open url image1

Gamon JA, Serrano L, Surfus JS (1997) The photochemical reflectance index: an optical indicator of photosynthetic radiation use efficiency across species, functional types, and nutrient levels. Oecologia 112, 492–501.
Crossref | GoogleScholarGoogle Scholar | open url image1

Gilmore AM, Yamamoto HY (1991) Resolution of lutein and zeaxanthin using a non-endcapped, lightly carbon-loaded C18 high-performance liquid chromatographic column. Journal of Chromatography 543, 137–145.
Crossref | GoogleScholarGoogle Scholar | open url image1

Hall A, Lamb D, Holzapfel B, Louis J (2002) Optical remote sensing applications in viticulture: a review. Australian Journal of Grape and Wine Research 8, 36–47. open url image1

Held AA , Jupp DLB (1994) Use of the compact airborne spectral imager (CASI) for remote sensing of vegetation function and dynamics. In ‘Proceedings of the 7th Australasian remote sensing conference. Vol. 2’. Melbourne, Australia. pp. 573–580.

Hendrickson L, Chow WS, Forster B, Furbank RT (2004) Processes contributing to photoprotection of grapevine leaves illuminated at low temperature. Physiologia Plantarum 121, 272–281.
Crossref | GoogleScholarGoogle Scholar | PubMed | open url image1

Herbert K, Powell KS, Hoffman A, Parsons Y, Ophel-Keller K, van Heeswijck R (2003) Early detection of phylloxera — present and future directions. The Australian & New Zealand Grapegrower & Winemaker 473a, 93–96. open url image1

Lovelock CE, Robinson SA (2002) Surface reflectance properties of Antarctic moss and their relationship to plant species, pigment composition and photosynthetic function. Plant, Cell & Environment 25, 1239–1250.
Crossref | GoogleScholarGoogle Scholar | open url image1

Maroco JP, Rodrigues ML, Lopes C, Chaves MM (2002) Limitations to leaf photosynthesis in field-grown grapevine under drought — metabolic and modelling approaches. Functional Plant Biology 29, 451–459.
Crossref | GoogleScholarGoogle Scholar | open url image1

Medrano H, Bota J, Abadía A, Sampol B, Escalona JM, Flexas J (2002) Effects of drought on light-energy dissipation mechanisms in high-light-acclimated, field-grown grapevines. Functional Plant Biology 29, 1197–1207.
Crossref | GoogleScholarGoogle Scholar | open url image1

Mohammed GH , Noland TL , Irving D , Sampson PH , Zarco-Tejada PJ , Miller JR (2000) ‘Natural and stress-induced effects on leaf spectral reflectance in Ontario species.’ (Ministry of Natural Resources: Ontario, Canada)

National Vine Health Steering Committee (NVHSC) (2003) National phylloxera management protocol http://www.gwrdc.com.au/nvhscphylloxera.htm [verified 7 March 2006]

Nichol CJ, Huemmrich KF, Black TA, Jarvis PG, Walthall CL, Grace J, Hall FG (2000) Remote sensing of photosynthetic-light-use efficiency of boreal forest. Agricultural and Forest Meteorology 101, 131–142.
Crossref | GoogleScholarGoogle Scholar | open url image1

Omer AD, Granett JD, De Benedictis JA, Walker MA (1995) Effects of fungal root infections on the vigour of grapevines infested by root-feeding grape phylloxera. Vitis 34, 165–170. open url image1

Penuelas J, Filella I (1998) Visible and near-infrared reflectance techniques for diagnosing plant physiological status. Trends in Plant Science 3, 151–156.
Crossref | GoogleScholarGoogle Scholar | open url image1

Renzullo L, Held A, Powell KS, Blanchfield AL (2004) Remote sensing phylloxera infestation: current capabilities and future possibilities for early detection. The Australian and New Zealand Grapegrower & Winemaker 32nd Annual Technical Issue , 126–130. open url image1

Renzullo LJ, Blanchfield AL, Powell KS (2006) A method of wavelength selection and spectral discrimination of hyperspectral reflectance spectrometry. IEEE Transactions on Geoscience and Remote Sensing In press , open url image1

Sampol B, Bota J, Riera D, Medrano H, Flexas J (2003) Analysis of the virus-induced inhibition of photosynthesis in malmsey grapevines. New Phytologist 160, 403–412.
Crossref | GoogleScholarGoogle Scholar | open url image1

Sims DA, Gamon JA (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.
Crossref | GoogleScholarGoogle Scholar | open url image1

Zarco-Tejada PJ, Pushnik JC, Dobrowski S, Ustin SL (2003) Steady-state chlorophyll a fluorescence detection from canopy derivative reflectance and double-peak red-edge effects. Remote Sensing of Environment 84, 283–294.
Crossref | GoogleScholarGoogle Scholar | open url image1