Rapid screening of Huanglongbing-infected citrus leaves by near-infrared reflectance spectroscopy

Transactions of the ASABE

Volumn 54, Issue 6, 2011, Pages 2253-2258

  Windham, W R ^a   Poole, G H ^b   Park, B ^a   Heitschmidt, G ^a   Hawkins, S A ^a   Albano, J P ^b   Gottwald, T R ^b   Lawrence, K C ^a  

^a RUSSELL RESEARCH CENTER   (United States)

^b U S HORTICULTURAL RESEARCH LABORATORY   (United States)

Author keywords

Chemometrics; Citrus greening disease; HLB; Huanglongbing; Visible NIR spectroscopy

Indexed keywords

CHEMOMETRICS; CITRUS GREENING; HLB; HUANGLONGBING; VISIBLE/NIR SPECTROSCOPY;

CARBOHYDRATES; CHLOROPHYLL; FORESTRY; FRUITS; REFLECTION; REGRESSION ANALYSIS; SPECTROSCOPY;

INFRARED DEVICES;

ABSORPTION; BACTERIAL DISEASE; BIOCHEMICAL COMPOSITION; CARBOHYDRATE; CHLOROPHYLL; DETECTION METHOD; FRUIT; GENETIC ANALYSIS; INFRARED SPECTROSCOPY; LEAF; LEAST SQUARES METHOD; NEAR INFRARED; PATHOGEN; WAX;

CARBOHYDRATES; CHLOROPHYLLS; DISEASES; INFRARED SPECTROSCOPY; LEAVES; NUCLEIC ACIDS; PATHOGENS; REGRESSION ANALYSIS; SCREENING;

CITRUS;

EID: 84855589677     PISSN: 21510032     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (19)

1. Campbell, J. B. 2007. Chapter 17: Plant sciences. In Introduction to Remote Sensing, 447-487. J. B. Campbell, ed. New York, N. Y.: The Guilford Press.
2. Carter, G. A. 1993. Response of leaf spectral reflectance to plant stress. American J. Botany 80(3) : 239-243.
3. Chamberlain, H. L., and M. S. Iery. 2008. Comparison of a starch-based field test for Huanglongbing to results from real-time OCR testing of field samples from symptomatic trees in Florida. In Proc. Intl. Research Conf. on Huanglongbing, 144. St. Paul, Minn. : Plant Management Network. Available at: www.plantmanagementnetwork.org/proceedings/irchlb/2008.
4. Cubero, J., J. H. Graham, and T. R. Gottwald. 2001. Quantitative PCR method for diagnosis of citrus bacterial canker. Appl. Environ. Microbiol. 67(6) : 2849-2852. (Pubitemid 33639769)
5. Gottwald, T. R.; J. V. da Graca, and R. B. Bassanezi. 2007. Citrus Huanglongbing: The pathogen and its impact. Plant Health Progress doi 10.1094/PHP-2007-0906-01-RV.
6. Halbert, S. 2005. The discovery of Huanglongbing in Florida. In Proc. 2nd Intl. Citrus Canker and Huanglongbing Research Workshop, 50. Lakeland, Fla.: Florida Citrus Mutual. Available at: www.freshfromflorida.com/pi/chrp/images/ 2nd-International-Canker-Huanglongbing-Research-Workshop-2005.pdf.
7. Hawkins, S. A., B. Park, G. H. Poole, T. R. Gottwald, W. R. Windham, and K. C. Lawrence. 2010a. Detection of citrus Huanglongbing by Fourier transform infrared-attenuated total reflection spectroscopy. Appl. Spectroscopy 64(1) : 100-103.
8. Hawkins, S. A., B. Park, G. H. Poole, T. R. Gottwald, W. R. Windham, J. Albano, and K. C. Lawrence. 2010b. Comparison of FTIR spectra between Huanglongbing (citrus greening) and other citrus maladies. J. Agric. Food Chem. 58(10) : 6007-6010.
9. Hoagland, D. R., and D. I. Arnon. 1950. The water culture method for growing plants without soil. Circular No. 347. Berkeley, Cal.: University of California Agricultural Experiment Station.
10. Hoque, E., and P. J. S. Hutzler. 1992. Spectral blue-shift of red edge monitors damage class of beech trees. Remote Sens. Environ. 39(1) : 81-84.
11. Li, W., J. S. Hartung, and L. Levy. 2006. Quantitative real-time PCR for detection and identification of Candidatus Liberibacter species associated with citrus Huanglongbing. J. Microbiol. Methods 66(1) : 104-115.
12. Mackay, I. A., K. E. Arden, and A. Nitsche. 2002. Real-time PCR in virology. Nucleic Acids Res. 30(6) : 1292-1305. (Pubitemid 34679706)
13. Martens, H., and T. Naes. 1989. Chapter 4: Assessment, validation, and choice of calibration method. In Multivariate Calibration, 237-266. H. Martens and T. Naes, eds. New York, N. Y.: John Wiley and Sons.
14. Mishra, A., R. Ehsani, G. Albrigo, and W. S. Lee. 2007. Spectral characteristics of citrus greening (Huanglongbing). ASABE Paper No. 073056. St. Joseph, Mich.: ASABE.
15. Naes, T., T. Isaksson, T. Fern, and T. Davis. 2002. Chapter 18: Qualitative analysis/classification. In Multivariate Calibration and Classification, 221-259. T. Naes, T. Isaksson, T. Fern, and T. Davis, eds. Chichester, U. K.: NIR Publications.
16. Schneider, H. 1968. Anatomy of greening-diseased sweet orange shoots. Phytopathol. 58:1155-1160.
17. Shenk, J. S., and M. O. Westerhaus. 1991. Population definition, sample selection, and calibration procedures for near-infrared reflectance spectroscopy. Crop Sci. 31(2) : 469-474.
18. Takushi, T. T. Toyozato, S. Kawano, S. Taba, A. Ooshiro, M. Numazawa, and M. Tokeshi. 2007. Scratch method for simple, rapid diagnosis of citrus Huanglongbing using iodine to detect high accumulation of starch in the citrus leaves. Japanese J. Phytopathol. 73(1) : 3-8.
19. Williams, P. C., and K. H. Norris. 1987. Chapter 10: Application of near-infrared reflectance spectroscopy in North America. In Near-Infrared Technology in the Agricultural and Food Industries, 201-211. P. C. Williams and K. H. Norris, eds. St. Paul, Minn. : American Association of Cereal Chemists.