The potential of spectral reflectance technique for the detection of Grapevine leafroll-associated virus-3 in two red-berried wine grape cultivars

被引:162
作者
Naidu, Rayapati A. [1 ]
Perry, Eileen M. [2 ]
Pierce, Francis J. [2 ]
Mekuria, Tefera [1 ]
机构
[1] Washington State Univ, Dept Plant Pathol, Irrigated Agr Res & Extens Ctr, Prosser, WA 99350 USA
[2] Washington State Univ, Ctr Precis Agr Syst, Irrigated Agr Res & Extens Ctr, Prosser, WA 99350 USA
关键词
Wine grapes; Grapevine leafroll disease; Grapevine leafroll-associated virus; Closteroviridae; Spectral reflectance; Virus detection; DISCRIMINANT-ANALYSIS; YELLOW RUST; ERROR RATES; LEAF; INDEX; CLOSTEROVIRUSES; IDENTIFICATION; CHLOROPHYLL; EFFICIENCY; PLANTS;
D O I
10.1016/j.compag.2008.11.007
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
The detection of viruses in plants involves destructive sampling followed by testing by enzyme-linked immunosorbent assay (ELISA) and/or reverse transcription-polymerase chain reaction (RT-PCR). In this study, we have investigated the potential of leaf spectral reflectance changes between virus infected and uninfected grapevines (Vitis vinifera L) in developing non-invasive techniques for field-based 'real-time' diagnosis of grapevine leafroll disease (GLD). In situ leaf reflectance spectra were taken with a portable spectrometer using detached leaves from uninfected and Grapevine leafroll-associated virus-3 (GLRaV-3) infected plants of two wine grape cultivars (Cabernet Sauvignon and Merlot). Specific differences in vegetation indices and wavelength intervals were observed between virus-infected and uninfected leaves in the green peak (near 550 nm), the near infrared (near 900 nm) and in the mid-infrared (near 1600 nm and 2200 nm). Results of reflectance spectra and classification analysis suggest that different vegetation indices and/or individual wavelength bands may differ in their ability to detect GLD depending on whether there are visible symptoms in the virus-infected leaves. The differences in leaf reflectance measurements at specific wavelength intervals between virus-infected and uninfected grapevines and their correlation with RT-PCR results for the presence of GLRaV-3 suggest spectral reflectance technique as a promising tool for cost-effective, nondestructive method for diagnosis of GLD in the field. To our knowledge this represents the first study to report the potential of using leaf spectral data for virus disease diagnosis in a perennial crop. (C) 2008 Elsevier B.V. All rights reserved.
引用
收藏
页码:38 / 45
页数:8
相关论文
共 34 条
[1]  
AUSMUS BS, 1971, REMOTE SENS ENVIRON, V2, P77, DOI DOI 10.1016/0034-4257(71)90080-0
[2]   Effect of grapevine leafroll on the photosynthesis of field grown grapevine plants (Vitis vinifera L. Cv. Lagrein) [J].
Bertamini, M ;
Muthuchelian, K ;
Nedunchezhian, N .
JOURNAL OF PHYTOPATHOLOGY, 2004, 152 (03) :145-152
[3]   Phylloxera-infested grapevines have reduced chlorophyll and increased photoprotective pigment content - can leaf pigment composition aid pest detection? [J].
Blanchfield, AL ;
Robinson, SA ;
Renzullo, LJ ;
Powell, KS .
FUNCTIONAL PLANT BIOLOGY, 2006, 33 (05) :507-514
[4]  
CLICK N, 1978, PATTERN RECOGN, V10, P211
[5]   Estimating corn leaf chlorophyll concentration from leaf and canopy reflectance [J].
Daughtry, CST ;
Walthall, CL ;
Kim, MS ;
de Colstoun, EB ;
McMurtrey, JE .
REMOTE SENSING OF ENVIRONMENT, 2000, 74 (02) :229-239
[6]   Detection of biotic stress (Venturia inaequalis) in apple trees using hyperspectral data:: Non-parametric statistical approaches and physiological implications [J].
Delalieux, Stephanie ;
van Aardt, Jan ;
Keulemans, Wannes ;
Schrevens, Eddie ;
Coppin, Pol .
EUROPEAN JOURNAL OF AGRONOMY, 2007, 27 (01) :130-143
[7]   The photochemical reflectance index: an optical indicator of photosynthetic radiation use efficiency across species, functional types, and nutrient levels [J].
Gamon, JA ;
Serrano, L ;
Surfus, JS .
OECOLOGIA, 1997, 112 (04) :492-501
[8]   A NARROW-WAVEBAND SPECTRAL INDEX THAT TRACKS DIURNAL CHANGES IN PHOTOSYNTHETIC EFFICIENCY [J].
GAMON, JA ;
PENUELAS, J ;
FIELD, CB .
REMOTE SENSING OF ENVIRONMENT, 1992, 41 (01) :35-44
[9]   Novel algorithms for remote estimation of vegetation fraction [J].
Gitelson, AA ;
Kaufman, YJ ;
Stark, R ;
Rundquist, D .
REMOTE SENSING OF ENVIRONMENT, 2002, 80 (01) :76-87
[10]   Identification of powdery mildew (Erysiphe graminis sp tritici) and take-all disease (Gaeumannomyces graminis sp tritici) in wheat (Triticum aestivum L.) by means of leaf reflectance measurements [J].
Graeff, Simone ;
Link, Johanna ;
Claupein, Wilhelm .
CENTRAL EUROPEAN JOURNAL OF BIOLOGY, 2006, 1 (02) :275-288