Journal of The Korean Society of Grassland and Forage Science (한국초지조사료학회지)

The Korean Society of Grassland and Forage Science (한국초지조사료학회)
권호 표지
DOI QR코드

DOI QR Code

Discrimination of Pasture Spices for Italian Ryegrass, Perennial Ryegrass and Tall Fescue Using Near Infrared Spectroscopy

근적외선분광법을 이용한 이탈리안 라이그라스, 페레니얼 라이그라스,톨 페스큐 종자의 초종 판별

  • 박형수 (농촌진흥청 국립축산과학원 초지사료과) ;
  • 최기춘 (농촌진흥청 국립축산과학원 초지사료과) ;
  • 김지혜 (농촌진흥청 국립축산과학원 초지사료과) ;
  • 소민정 (농촌진흥청 국립축산과학원 초지사료과) ;
  • 이기원 (농촌진흥청 국립축산과학원 초지사료과) ;
  • 이상훈 (농촌진흥청 국립축산과학원 초지사료과)
  • Received : 2015.04.30
  • Accepted : 2015.06.01
  • Published : 2015.06.30
Download PDF
⟨ Previous Next ⟩

Abstract

The objective of this study was to investigate the feasibility of using near infrared spectroscopy (NIRS) to discriminate between grass spices. A combination of NIRS and chemometrics was used to discriminate between Italian ryegrass, perennial ryegrass, and tall fescue seeds. A total of 240 samples were used to develop the best discriminant equation, whereby three spectra range (visible, NIR, and full range) were applied within a 680 nm to 2500 nm wavelength. The calibration equation for the discriminant analysis was developed using partial least square (PLS) regression and discrimination equation (DE) analysis. A PLS discriminant analysis model for the three spectra range that was developed with the mathematic pretreatment "1,8,8,1" successfully discriminated between Italian ryegrass, perennial ryegrass, and tall fescue. An external validation indicated that all of the samples were discriminated correctly. The discriminant accuracy was shown as 68%, 78%, and 73% for Italian ryegrass, perennial ryegrass, and tall fescue, respectively, with the NIR full-range spectra. The results demonstrate the usefulness of the NIRS-chemometrics combination as a rapid method for the discrimination of grass species by seed.

본 연구는 근적외선분광법을 이용하여 우리나라에서 재배되고 있는 목초류 중 외형적 특성이 유사한 이탈리안 라이그라스, 페레니얼 라이그라스와 톨 페스큐 종자의 초종판별 가능성을 검토하고자 수행되었다. 근적외선분광기를 이용하여 목초류 종자를 가시파장 대역대(680~1,099 nm), NIRS 파장 대역대(1,100-2,500 nm) 및 NIRS 전체 파장 대역대(680-2,500 nm)로 구분하여 스펙트라를 얻은 후 1차 미분과 8 nm gap으로 수 처리를 수행하였으며 부분최소자승(PLS) 회귀분석법을 통해 초종판별 검량식을 개발하고 판별 정확성을 검증하였다. 목초류의 초종판별 정확성은 가시파장대역에서 SECV 1.732, $R^2cv$ 0.96으로 가장 판별 정확성이 낮았으며 NIRS 전체 파장대역에서 SECV 1.182, $R^2cv$ 0.98로 가장 높은 판별 정확성을 나타내었다. 파장대역별 예측 정확성은 NIR 파장대역(1,100-2,500 nm)에서 교차검증오차(SECV) 1.319에서 예측 오차(SEP) 1.288로 낮아졌으며 가시영역대(680~1,099)는 SECV 1.732에서 SEP 1.749로 약간 높아졌다. Discrimination equation 분석법에 의한 NIRS 전체 파장대역별 목초류 초종의 판별 결과는 초종간에 판별 정확성의 차이가 크게 나타났으며 이탈리안 라이그라스의 'Hits'는 68%로 가장 낮았으며 페레니얼 라이그라스가 78%의 정확성으로 가장 높게 나타났다. 따라서 NIRS를 이용한 목초류 초종의 판별분석이 가능할 것으로 판단되었다.

Keywords

References

  1. Ahan, H.G. and Kim, Y.H. 2012. Discrimination of Korean domestic and foreign soybeans using Near Infrared Reflectance Spectroscopy. Korean Journal of Crop Science. 57(3):296-300. https://doi.org/10.7740/kjcs.2012.57.3.296
  2. Chun, J.U. 2007. Use of Near-Infrared Spectroscopy for Discriminating Korean and Chinese Green Tea Products. Journal of Korean Tea Society. 13(2):97-110.
  3. Chun, J.U. and Cho, K.C. 2007. Discrimination of Korean and japanese green tea products using NIR Spectroscopy. Journal of Korean Tea Society. 13(1):93-104.
  4. Dongre, A. and Parkhi, V. 2005. Identification of cotton hybrid through the combination of PCR based RAPD, ISSR and microsatellite markers. Journal of Plant Biochemistry and Biotechnology. 14(1):53-55. https://doi.org/10.1007/BF03263226
  5. Gethia, J.G., Labate, J.A., Lamkey, K.R., Smitha, M.E. and Kresovich, S. 2002. SSR Variation in important U.S. maize inbred lines. Crop science. 42:951-957. https://doi.org/10.2135/cropsci2002.0951
  6. He, Y., Li, X. and Deng, X. 2007. Discrimination of varieties of tea using near infrared spectroscopy by principal component analysis and BP model. Journal of Food Engineering. 79(4):1238-1242. https://doi.org/10.1016/j.jfoodeng.2006.04.042
  7. Howard, M. 1992. Qualitative discriminant analysis. In Handbook of near infrared analysis. p. 329-363. Marcel Dekker, Inc. NY.
  8. Kim, E.Y., Kim, J.H., Lee, N.Y., Kim, S.J. and Rhyu, M.R. 2003. Discrimination of geographical origin for astragalus root (Astragalus membranaceus) by capillary electrophoresis and near-infrared spectroscopy. Korean Journal of Food Science and Technology. 35(5):818-824.
  9. Lee, D.Y., Kim, S.H., Kim, Y.C., Kim, H.J. and Sung, S.H. 2011. Discrimination of Scrophulariae Radix according to geographical origin and determination of active constituents by near infrared spectroscopy (NIRS). Microchemical Journal. 99(2):213-217. https://doi.org/10.1016/j.microc.2011.05.008
  10. Miralbes, C. 2008. Discrimination of European wheat varieties using near infrared reflectance spectroscopy. Food chemistry. 106(1): 386-389. https://doi.org/10.1016/j.foodchem.2007.05.090
  11. Orman, B.A., Lawrance, G.D., Downes, P.M., Phillips, D.S. and Ripberger, C.J. 1991. Assessment of maize inbred genetic purity by isozyme. Seed Science and Technology. 19:572-553.
  12. Plaschke, J., Ganal, M.W. and Roder, M.S. 1995. Detection of genetic diversity in closely related bread wheat using microsatellite markers. Theoretical and Applied Genetics. 91(6-7):1001-1007.
  13. Prasad, M., Varshney, R.K., Roy, J.K., Balyan, H.S. and Gupta, P.K. 2000. The use of microsatellites for detecting DNA polymorphism, genotype identification and genetic diversity in wheat. Theoretical and Applied Genetics. 100(3-4):584-592. https://doi.org/10.1007/s001220050077
  14. Russell, J., Fuller, J., Young, G., Thomas, B., Macaulay, M., Waugh, R. and Taramino, G. 1997. Discriminating between barley genotypes using microsatellite markers. Genome. 40(4):442-450. https://doi.org/10.1139/g97-059
  15. Velasco, L. and Mollers, C. 2002. Nondestructive assessment of protein content in single seeds of rapeseed (Brassica napus L.) by near-infrared reflectance spectroscopy. Euphytica. 123(1):89-93. https://doi.org/10.1023/A:1014452700465
  16. Warnke, S.E., Barker, R.E., Jung, G., Sim, S.C., Mian, M.R., Saha, M.C. and Forster, J.W. 2004. Genetic linkage mapping of an annual $\times$ perennial ryegrass population. Theoretical and applied Genetics. 109(2):294-304. https://doi.org/10.1007/s00122-004-1647-3
  17. Woo, Y.A., Kim, H.J., Cho, J. and Chung, H. 1999. Discrimination of herbal medicines according to geographical origin with near infrared reflectance spectroscopy and pattern recognition techniques. Journal of Pharmaceutical and Biomedical Analysis. 21(2):407-413. https://doi.org/10.1016/S0731-7085(99)00145-4