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Journal of Spectroscopy
Volume 2017 (2017), Article ID 9740295, 12 pages
https://doi.org/10.1155/2017/9740295
Research Article

Application of Near-Infrared Spectroscopy to Quantitatively Determine Relative Content of Puccnia striiformis f. sp. tritici DNA in Wheat Leaves in Incubation Period

1College of Plant Protection, China Agricultural University, Beijing 100193, China
2College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China

Correspondence should be addressed to Haiguang Wang; nc.ude.uac@gnaugiahgnaw

Received 15 April 2017; Accepted 27 June 2017; Published 6 August 2017

Academic Editor: Wee Chew

Copyright © 2017 Yaqiong Zhao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. Z. Q. Li and S. M. Zeng, Wheat Rust in China, China Agriculture Press, Beijing, China, 2002.
  2. R. F. Line, “Stripe rust of wheat and barley in North America: a retrospective historical review,” Annual Review of Phytopathology, vol. 40, pp. 75–118, 2002. View at Publisher · View at Google Scholar · View at Scopus
  3. X. M. Chen, “Epidemiology and control of stripe rust [Puccinia striiformis f. sp. tritici] on wheat,” Canadian Journal of Plant Pathology, vol. 27, no. 3, pp. 314–337, 2005. View at Publisher · View at Google Scholar
  4. A. M. Wan, X. M. Chen, and Z. H. He, “Wheat stripe rust in China,” Australian Journal of Agricultural Research, vol. 58, no. 6, pp. 605–619, 2007. View at Publisher · View at Google Scholar · View at Scopus
  5. W. Chen, C. Wellings, X. Chen, Z. Kang, and T. Liu, “Wheat stripe (yellow) rust caused by Puccinia striiformis f. sp. tritici,” Molecular Plant Pathology, vol. 15, no. 5, pp. 433–446, 2014. View at Publisher · View at Google Scholar · View at Scopus
  6. A. M. Wan, Z. H. Zhao, X. M. Chen et al., “Wheat stripe rust epidemic and virulence of Puccinia striiformis f. sp. tritici in China in 2002,” Plant Disease, vol. 88, no. 8, pp. 896–904, 2004. View at Google Scholar
  7. J. Zhao, X. J. Wang, C. Q. Chen, L. L. Huang, and Z. S. Kang, “A PCR-based assay for detection of Puccinia striiformis f. sp. tritici in wheat,” Plant Disease, vol. 91, no. 12, pp. 1669–1674, 2007. View at Google Scholar
  8. X. J. Wang, C. L. Tang, J. L. Chen et al., “Detection of Puccinia striiformis in latently infected wheat leaves by nested polymerase chain reaction,” Journal of Phytopathology, vol. 157, no. 7-8, pp. 490–493, 2009. View at Google Scholar
  9. C. Huang, Z. Y. Sun, J. H. Yan, Y. Luo, H. G. Wang, and Z. H. Ma, “Rapid and precise detection of latent infections of wheat stripe rust in wheat leaves using loop-mediated isothermal amplification,” Journal of Phytopathology, vol. 159, no. 7-8, pp. 582–584, 2011. View at Publisher · View at Google Scholar · View at Scopus
  10. J. J. Pan, Y. Luo, C. Huang et al., “Quantification of latent infections of wheat stripe rust by using real-time PCR,” Acta Phytopathologica Sinica, vol. 40, no. 4, pp. 504–510, 2010. View at Google Scholar
  11. D. Moshou, C. Bravo, J. West, S. Wahlen, A. McCartney, and H. Ramon, “Automatic detection of ‘yellow rust’ in wheat using reflectance measurements and neural networks,” Computers and Electronics in Agriculture, vol. 44, no. 3, pp. 173–188, 2004. View at Publisher · View at Google Scholar · View at Scopus
  12. R. Devadas, D. W. Lamb, S. Simpfendorfer, and D. Backhouse, “Evaluating ten spectral vegetation indices for identifying rust infection in individual wheat leaves,” Precision Agriculture, vol. 10, no. 6, pp. 459–470, 2009. View at Publisher · View at Google Scholar · View at Scopus
  13. L. Yuan, Y. B. Huang, R. W. Loraamm, C. W. Nie, J. H. Wang, and J. C. Zhang, “Spectral analysis of winter wheat leaves for detection and differentiation of diseases and insects,” Field Crops Research, vol. 156, pp. 199–207, 2014. View at Publisher · View at Google Scholar · View at Scopus
  14. J. L. Zhao, L. S. Huang, W. J. Huang et al., “Hyperspectral measurements of severity of stripe rust on individual wheat leaves,” European Journal of Plant Pathology, vol. 139, no. 2, pp. 407–417, 2014. View at Publisher · View at Google Scholar · View at Scopus
  15. X. L. Li, K. Wang, Z. H. Ma, and H. G. Wang, “Early detection of wheat disease based on thermal infrared imaging,” Transactions of the Chinese Society of Agricultural Engineering, vol. 30, no. 18, pp. 183–189, 2014. View at Google Scholar
  16. X. L. Li, Z. H. Ma, L. L. Zhao, J. H. Li, and H. G. Wang, “Early diagnosis of wheat stripe rust and wheat leaf rust using near infrared spectroscopy,” Spectroscopy and Spectral Analysis, vol. 33, no. 10, pp. 2661–2665, 2013. View at Google Scholar
  17. X. L. Li, F. Qin, L. L. Zhao, J. H. Li, Z. H. Ma, and H. G. Wang, “Detection of Puccinia striiformis f. sp. tritici latent infections in wheat leaves using near infrared spectroscopy technology,” Spectroscopy and Spectral Analysis, vol. 34, no. 7, pp. 1853–1858, 2014. View at Google Scholar
  18. J. Li, Y. H. Chen, J. B. Jiang, and H. C. Cai, “Using hyperspectral derivative index to identify winter wheat stripe rust disease,” Science & Technology Review, vol. 25, no. 6, pp. 23–26, 2007. View at Google Scholar
  19. Y. Pan, Y. L. Gu, Y. Luo et al., “Study on relationship between the quantity of Puccinia striiformis f. sp. tritici in latent during overwinter and the disease index in Xiangyang area,” Acta Phytopathologica Sinica, vol. 46, no. 5, pp. 679–685, 2016. View at Google Scholar
  20. N. W. Schaad and R. D. Frederick, “Real-time PCR and its application for rapid plant disease diagnostics,” Canadian Journal of Plant Pathology, vol. 24, no. 3, pp. 250–258, 2002. View at Google Scholar
  21. S. Sankaran, A. Mishra, R. Ehsani, and C. Davis, “A review of advanced techniques for detecting plant diseases,” Computers and Electronics in Agriculture, vol. 72, no. 1, pp. 1–13, 2010. View at Publisher · View at Google Scholar · View at Scopus
  22. G. T. Xu, H. F. Yuan, and W. Z. Lu, “Development of modern near infrared spectroscopic techniques and its applications,” Spectroscopy and Spectral Analysis, vol. 20, no. 2, pp. 134–142, 2000. View at Google Scholar
  23. X. L. Chu and W. Z. Lu, “Research and application progress of near infrared spectroscopy analytical technology in China in the past five years,” Spectroscopy and Spectral Analysis, vol. 34, no. 10, pp. 2595–2605, 2014. View at Google Scholar
  24. Q. S. Chen, J. W. Zhao, M. H. Liu, J. R. Cai, and J. H. Liu, “Determination of total polyphenols content in green tea using FT-NIR spectroscopy and different PLS algorithms,” Journal of Pharmaceutical and Biomedical Analysis, vol. 46, no. 3, pp. 568–573, 2008. View at Publisher · View at Google Scholar · View at Scopus
  25. M. K. Ahmed and J. Levenson, “Application of near-infrared spectroscopy to the quality assurance of ethanol and butanol bended gasoline,” Petroleum Science and Technology, vol. 30, no. 2, pp. 115–121, 2012. View at Google Scholar
  26. E. Tamburini, G. Ferrari, M. G. Marchetti, P. Pedrini, and S. Ferro, “Development of FT-NIR models for the simultaneous estimation of chlorophyll and nitrogen content in fresh apple (Malus domestica) leaves,” Sensors, vol. 15, no. 2, pp. 2662–2679, 2015. View at Publisher · View at Google Scholar · View at Scopus
  27. H. Chen, Z. Lin, H. G. Wu, L. Wang, T. Wu, and C. Tan, “Diagnosis of colorectal cancer by near-infrared optical fiber spectroscopy and random forest,” Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, vol. 135, pp. 185–191, 2015. View at Publisher · View at Google Scholar · View at Scopus
  28. X. L. Li, F. Qin, L. L. Zhao, J. H. Li, Z. H. Ma, and H. G. Wang, “Identification and classification of disease severity of wheat stripe rust using near infrared spectroscopy technology,” Spectroscopy and Spectral Analysis, vol. 35, no. 2, pp. 367–371, 2015. View at Google Scholar
  29. X. L. Li, Z. H. Ma, L. L. Zhao, J. H. Li, and H. G. Wang, “Application of near infrared spectroscopy to qualitative identification and quantitative determination of Puccinia striiformis f. sp. tritici and P. recondita f. sp. tritici,” Spectroscopy and Spectral Analysis, vol. 34, no. 3, pp. 643–647, 2014. View at Publisher · View at Google Scholar · View at Scopus
  30. P. Cheng, Z. H. Ma, X. J. Wang et al., “Impact of UV-B radiation on aspects of germination and epidemiological components of three major physiological races of Puccinia striiformis f. sp. tritici,” Crop Protection, vol. 65, pp. 6–14, 2014. View at Google Scholar
  31. Y. Y. Xiao and S. M. Zeng, “Comparisons among three equations to predict apparent infection rates of wheat stripe rust,” Scientia Sinica (Series B), vol. 2, pp. 151–157, 1985. View at Google Scholar
  32. A. F. Justesen, C. J. Ridout, and M. S. Hovmoller, “The recent history of Puccinia striiformis f. sp. tritici in Denmark as revealed by disease incidence and AFLP markers,” Plant Pathology, vol. 51, no. 1, pp. 13–23, 2002. View at Google Scholar
  33. M. Sandberg, L. Lundberg, M. Ferm, and I. M. Yman, “Real time PCR for the detection and discrimination of cereal contamination in gluten free foods,” European Food Research and Technology, vol. 217, no. 4, pp. 344–349, 2003. View at Publisher · View at Google Scholar · View at Scopus
  34. Y. Li, Y. L. Gu, B. M. Wu et al., “Establishment of a duplex TaqMan real-time PCR method for quantifying Puccinia striiformis f. sp. tritici and Blumeria graminis f. sp. tritici,” Acta Phytopathologica Sinica, vol. 45, no. 2, pp. 205–210, 2015. View at Google Scholar
  35. A. De Girolamo, S. Cervellieri, A. Visconti, and M. Pascale, “Rapid analysis of deoxynivalenol in durum wheat by FT-NIR spectroscopy,” Toxins, vol. 6, no. 11, pp. 3129–3143, 2014. View at Publisher · View at Google Scholar · View at Scopus
  36. W. Z. Lu, H. F. Yuan, G. T. Xu, and D. M. Qiang, Modern Near Infrared Spectroscopy Analytical Technology, China Petrochemical Press, Beijing, China, 2000.
  37. R. C. G. Smith, A. D. Heritage, M. Stapper, and H. D. Barrs, “Effect of stripe rust (Puccinia striiformis West.) and irrigation on the yield and foliage temperature of wheat,” Field Crops Research, vol. 14, no. 1, pp. 39–51, 1986. View at Publisher · View at Google Scholar · View at Scopus
  38. Y. R. Li and H. S. Shang, “Effect of stripe rust infection on photosynthesis and transpiration of wheat,” Journal of Triticeae Crops, vol. 21, no. 2, pp. 51–56, 2001. View at Google Scholar
  39. H. Zhao, R. Y. Wang, P. L. Ma, and J. L. Zhu, “Effect of stripe rust infection on photosynthesis and transpiration of wheat in the semi-arid region,” Arid Meteorology, vol. 22, no. 4, pp. 56–59, 2004. View at Google Scholar