JOURNAL BROWSE
Search
Advanced SearchSearch Tips
Determination of Fatty Acid Composition in Peanut Seed by Near Infrared Reflectance Spectroscopy
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
  • Journal title : KOREAN JOURNAL OF CROP SCIENCE
  • Volume 61, Issue 1,  2016, pp.64-69
  • Publisher : The Korean Society of Crop Science
  • DOI : 10.7740/kjcs.2016.61.1.064
 Title & Authors
Determination of Fatty Acid Composition in Peanut Seed by Near Infrared Reflectance Spectroscopy
Lee, Jeong Min; Pae, Suk-Bok; Choung, Myoung-Gun; Lee, Myoung-Hee; Kim, Sung-Up; Oh, Eun-young; Oh, Ki-Won; Jung, Chan-Sik; Oh, In Seok;
  PDF(new window)
 Abstract
This study was conducted to develop a fast and efficient screening method to determine the quantity of fatty acid in peanut oil for high oleate breeding program. A total of 329 peanut samples were used in this study, 227 of which were considered in the calibration equation development and 102 were utilized for validation, using near infrared reflectance spectroscopy (NIRS). The NIRS equations for all the seven fatty acids had low standard error of calibration (SEC) values, while high R2 values of 0.983 and 0.991 were obtained for oleic and linoleic acids, respectively in the calibration equation. Furthermore, the predicted means of the two main fatty acids in the calibration equation were very similar to the means based on gas chromatography (GC) analysis, ranging from 36.7 to 77.1% for oleic acid and 7.1 to 42.7% for linoleic acid. Based on the standard error of prediction (SEP), bias values, and statistics, the NIRS fatty acid equations were accurately predicted the concentrations of oleic and linoleic acids of the validation sample set. These results suggest that NIRS equations of oleic and linoleic acid can be used as a rapid mass screening method for fatty acid content analysis in peanut breeding program.
 Keywords
Fatty acid;Linoleic acid;NIRS;Oleic acid;Peanut;
 Language
English
 Cited by
1.
고 올레산 땅콩 신품종 '케이올',배석복;황정동;이명희;김성업;오기원;이병규;박장환;박금룡;백인열;전영춘;

한국육종학회지, 2016. vol.48. 3, pp.313-318 crossref(new window)
 References
1.
Ahn, H. G. and Y. H. Kim. 2012. Discrimination of Korean domestic and foreign soybeans using near infrared reflectance spectroscopy. Korean J. Crop Sci. 57 : 296-300. crossref(new window)

2.
Christie, W. W. 2003. 13-Phenyltridec-9-enoic and 15-phenylpentadec-9-enoic acids in Arum maculatum seed oil. Eur. J. Lipid Sci. Technol. 105 : 779-780. crossref(new window)

3.
Chuong, M. G., I. Y. Baek, S. T. Kang, W. Y. Han, D. C. Shin, H. P. Moon, and K. H. Kang. 2001. Determination of protein and oil contents in soybean seed by near infrared reflectance spectroscopy. Korean. J. Crop. Sci. 46 : 106-111.

4.
Halgerson, J. M., C. C. Sheaffer, O. B. Hesterman, T. S. Griffin, M. D. Stern, and G. W. Randall. 1995. Prediction of ruminal protein degradability of forages using near infrared reflectance spectroscopy. Agron. J. 87 : 1227-1231. crossref(new window)

5.
Hassan, F. U. and M. Ahmed. 2012. Oil and fatty acid composition of peanut cultivars grown in Pakistan. Pak. J. Bol. 44 : 627-630.

6.
Hatty, J. A., W. E. Sabbe, G. D. Basten, and A. B. Blakeney. 1994. Nitrogen and starch analysis of cotton leaves using near infrared reflectance spectroscopy (NIRS). Commun. Soil Sci. Plant Anal. 25 : 1855-1865. crossref(new window)

7.
Hilliard, J. H. and T. B. Daynard. 1976. Measurement of protein and oil in grains and soybean with reflected near infrared light. Can. Inst. Food Sci. Technol. J. 9 : 11-14. crossref(new window)

8.
Janila, P., S. N. Nigam, M. K. Pandey, P. Nagesh, and R. K. Varshney. 2013. Groundnut improvement: use of genetic and genomic tools. Front. Plant Sci. 4 : 1-16.

9.
Kim, K. S., S. H. Park, K. B. Shim, and S. N. Ryu. 2007b. Use of near-infrared spectroscopy for estimating lignan glucosides contents in intact sesame seeds. J. Crop Sci. Biotech. 10 : 185-192.

10.
Kim, K. S., S. H. Park, M. G. Choung, and Y. S. Jang. 2007a. Use of near-infrared spectroscopy for estimating fatty acid composition in intact seeds of rapeseed. J. Crop Sci. Biotech. 10 : 15-20.

11.
Kim, Y. H., H. G. Ahn, E. S. Lee, and H. D. Kim. 2008. Development of prediction model by NIRS for anthocyanin contents in black colored soybean. Korean J. Crop Sci. 53 : 15-20.

12.
Lee, M. S. and M. G. Choung. 2008. Determination of color value (L, a, b) in green tea using near-infrared reflectance spectroscopy. Korean J. Crop Sci. 53 : 108-114.

13.
Oh, K. W., M. G. Choung, S. B. Pae, C. S. Jung, B. J. Kim, Y. C. Kwan, J. T. Kim, and Y. H. Kwack. 2000. Determination of seed lipid and protein contents in perilla and peanut by near infrared reflectance spectroscopy. Korean J. Crop Sci. 45 : 339-342.

14.
Pazdernik, D. L., A. S. Killam, and J. H. Orf. 1997. Analysis of amino acid and fatty acid composition in soybean seed, using near infrared reflectance spectroscopy. Agron. J. 89 : 679-685. crossref(new window)

15.
Perez-Vich, B., L. Velasco, and J. M. Fernandez-Martines. 1998. Determination of seed oil content and fatty acid composition in sunflower through the analysis of intact seeds, husked seeds, meal and oil by near-infrared reflectance spectroscopy. J. Amer. Oil Chem. Soc. 75 : 547-555. crossref(new window)

16.
Rinne, R. W., S. Gibbons, J. Bradley, R. Sief, and C. A. Brim. 1975. Soybean protein and oil percentage determined by infrared analysis. Agric. Res. Pub. ARS-NC-26 USDA: Washinton DC.

17.
Roy, S., R. C. Anantheswaran, J. S. Shenk, M. O. Westernhaus, and R. B. Beelman. 1993. Determination of moisture content of mushrooms by vis-NIR spectroscopy. J. Sci. Food Agric. 63 : 355-360. crossref(new window)

18.
Shenk, J. S. and M. O. Westehaus. 1991. Population structuring of near infrared spectra and modified partial least squares regression. Crop Sci. 31 : 1548-1555. crossref(new window)

19.
Velasco, L., J. M. Fernandez-Martinez, and A. De Haro. 1997. Determination of the fatty acid composition of the oil in intact seed mustard by near-infrared reflectance spectroscopy. J. Amer. Oil Chem. Soc. 74 : 1595-1602. crossref(new window)

20.
Williams, P. C., K. R. Preston, K. H. Norris, and P. M. Starkey. 1984. Determination of amino acids in wheat and barley by near-infrared reflectance spectroscopy. J. Food Sci. 49 : 17-20. crossref(new window)

21.
Windham, W. R., D. R. Mertens, and F. E. Barton. 1989. Protocol for NIRS calibration: Sample selection and equation development and validation. In G. C. Marten et al.(ed) Near infrared reflectance spectroscopy (NIRS) : Analysis of forage quality. Agric. Handb. 643. USDA-ARS, Washington, DC.