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2019 Vol.64, Issue 2 Preview Page

Original Research Article

Statistical Analysis of Amylose and Protein Content in Landrace Rice Germplasm Collected from East Asian Countries Based on Near-Infrared Reflectance Spectroscopy (NIRS)

근적외선분광분석에 의한 동아시아 지역 재래종 벼 유전자원의 아밀로스 및 단백질 함량 변이분석

Sejong Oh1
,
Yu Mi Choi2
,
Hyemyeong Yoon2
,
Sukyeung Lee2
,
Eunae Yoo2
,
Myung Chul Lee1
,
Rauf Muhammad3
,
Byungsoo Chae4*
오 세종1
,
최 유미2
,
윤 혜명2
,
이 수경2
,
유 은애2
,
이 명철1
,
Muhammad Rauf3
,
채 병수4*
1Senior Researcher, National Agrobiodiversity Center, National Institute of Agricultural Sciences, RDA
2Researcher, National Agrobiodiversity Center, National Institute of Agricultural Sciences, RDA
3Post-doc, National Agrobiodiversity Center, National Institute of Agricultural Sciences, RDA
4Master’s Degree Researcher, National Agrobiodiversity Center, National Institute of Agricultural Sciences, RDA
1농촌진흥청 국립농업과학원 농업유전자원센터 연구관
2농촌진흥청 국립농업과학원 농업유전자원센터 연구사
3농촌진흥청 국립농업과학원 농업유전자원센터 박사후연구원
4농촌진흥청 국립농업과학원 농업유전자원센터 석사후전문연구원
* Corresponding Author
30 June 2019. pp. 70-88
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Abstract

A statistical analysis of 4,380 non-glutinous landrace rice germplasm collected from four East Asian countries namely South Korea (1,032), North Korea (994), Japan (800), and China (528) was conducted using normal distribution, variability index value (VIV), analysis of variation (ANOVA), and Duncan’s multiple range test (DMRT) based on a data obtained from Near-Infrared Reflectance Spectroscopy (NIRS) analysis. In normal distribution, the average protein content was 8.2%, and the non-glutinous rice amylose, ranging over 10%, was found to be 22.0%. Protein content in most gremplasm was between 5.4 and 10.9%, and amylose content was between 15.0 and 28.9%. The VIV was 0.50 for protein, and 0.81 for non-glutinous rice amylose content. The average amylose content was 23.34% in Chinese, 21.55% in South Korean, 21.45% in Japanese, and 20.48% in North Korean resources, while the average protein content was found to be 9.02% in Chinese, 8.06% in Japanese, 8.04% in North Korean, and 7.99% in South Korean resources. ANOVA of amylose and protein content showed significant differences at p=0.01. The F-test value for amylose content was 94.92, and for protein content was 81.82 compared to the critical value of 3.79. DMRT of amylose and protein content revealed significant differences (p<0.01). Among the various germplasm obtained from different countries, that from North Korean had the lowest level of amylose content, whereas that from South Korea had the lowest level of protein content than all other resources. Chinese resources had the highest level of amylose and protein content. It is recommended to use these results in breeding fields.

Keywords
Amylose
ANOVA
DMRT
Landrace rice germplasm
NIRS
Normal distribution
Protein
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(3) : 296-300.
10.7740/kjcs.2012.57.3.296
2
Bagchi, T.B., S. Sharma and K. Chattopadhyay. 2016. Development of NIRS models to predict protein and amylose content of brown rice and proximate compositions of rice bran. Food Chemistry 191:21-27.
10.1016/j.foodchem.2015.05.03826258697
3
Champagne, E.T., K.L. Aett, B.T. Vinyard, B.D. Webb, A.M. McClung and F.E. Barton. 1997. Effects of drying conditions, final moisture content and degree of milling on rice flavor. J. of Cereal Chemistry 74:566-570.
10.1094/CCHEM.1997.74.5.566
4
Hwang, H.G., R.K. Cho, J.K. Sohn and S.K. Lee. 1994. Rapid evaluation of chemical components of rice grain using near infrared spectroscopy. Korean J. Crop Sci. 39(1) : 7-14.
5
Jeong, J.M., J.U. Jeung, S.B. Lee, M.K. Kim, B.K. Kim and J.K. Sohn. 2013. Physicochemical properties of rice endosperm with different amylose contents. Korean J. Crop Sci. 58(3) : 274-282.
10.7740/kjcs.2013.58.3.274
6
Juliano, B.O. 2003. Rice: In Caballero, B., L. Trugo, P. Finglas (eds.), Encyclopedia of Food Sciences and Nutrition (2nd ed.), Academic Press, London, UK. pp. 4995-5001.
10.1016/B0-12-227055-X/01025-7
7
Kim, D.J., S.K. Oh, J.H. Lee, M.R. Yoon, I.S. Choi, D.H. Lee and Y.G. Kim. 2012. Changes in quality properties of brown rice after germination. Korean J. Food Sci. Technol. 44(3) : 300-305.
10.9721/KJFST.2012.44.3.300
8
Kim, H.I. 2004. Comparison of Korean and Japanese rice by NIR and chemical analysis. J. East Asian Soc. Dietary Life 14(2) : 135-144.
9
Kim, J.S., M.H. Song, J.E. Choi, H.B. Lee and S.N. Ahn. 2008. Quantification of protein and amylose contents by near-infrared reflectance spectroscopy in aroma rice. Korean J. Food Sci. Technol. 40(6) : 603-610.
10
Kim, K.H., M.H. Heu, S.Z. Park, and H.J. Koh. 1991. New mutants for endorsperm and embryo characters in rice. Korean J. Crop Sci. 36(3) : 197-203.
11
Kim, S.J. 2016. Analysis of freshness of rice depending on packing material using MANOVA. Korean J. Applied Statistics 29(7) : 1421-1428.
12
Moon, S.S., K.H. Lee and R.K. Cho. 1994. Application of near infrared reflectance spectroscopy in quality evaluation of domestic rice. Korean J. Food Sci. Technol. 26(6) : 718-725.
13
Oh, S.J., M.C. Lee, Y.M. Choi, S.K. Lee, M.W. Oh, A. Ali, B.S. Chae and D.Y. Hyun. 2017a. Development of near- infrared reflectance spectroscopy (NIRS) model for amylose and crude protein contents analysis in rice germplasm. Korean J. Plant Res. 30(1) : 38-49.
10.7732/kjpr.2016.30.1.038
14
Oh, S.J., M.C. Lee, Y.M. Choi, S.K. Lee, M.W. Oh, A. Ali, B.S. Chae and D.Y. Hyun. 2017b. Fast systemic evaluation of amylose and protein contents in collected rice landrace germplasm using near-infrared reflectance (NIRS). Korean J. Plant Res. 30(4) : 450-465.
10.7732/kjpr.2016.30.1.038
15
Oh, S.J., Y.M. Choi, M.C. Lee, S.K. Lee, H.M. Yoon, M. Rauf and B.S. Chae. 2019. Construction of database system on amylose and protein contents distribution in rice germplasm based on NIRS data. Korean J. Plant Res. 32(2) : 124-143.
16
Pak, S.I. and T.H. Oh. 2010. The Application of analysis of variance (ANOVA). J. Vaterinary Clinics 27(1) : 71-78.
17
Park, K.H. 2005. A recent rice breeding strategy in Japan. Korean J. Intl. Agri. 17(1) : 1-5.
18
Park, S.Z., W.S. Hahn and N.J. Chung. 2016. Comparison of several groups In Biostatistics, KNOU Press, Seoul, Korea. pp. 230-250.
19
Son, J.R., J.H. Kim, J.I. Lee, J.K. Kim, H.G. Hwang and H.P. Moon. 2002. Trend and further of rice quality evaluation. Korean J. Crop Sci. 47:33-54.
20
Song, J., J.H. Kim, D.S. Kim, C.K. Lee, J.T. Youn, S.L. Kim and S.J. Suh. 2008. Physicochemical properties of starches in japonica rices of different amylose content. Korean J. Crop Sci. 53(3) : 285-291.
21
Williams, P. and Norris, K. 1987. Near-Infrared Technology in Agricultural and Food Industries. American Association of Cereal Chemists, Inc., MN (USA). p. 330.
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Information
  • Publisher :The Korean Society of Crop Science
  • Publisher(Ko) :한국작물학회
  • Journal Title :The Korean Journal of Crop Science
  • Journal Title(Ko) :한국작물학회지
  • Volume : 64
  • No :2
  • Pages :70-88
  • Received Date : 2019-04-04
  • Revised Date : 2019-05-30
  • Accepted Date : 2019-06-10
  • DOI :https://doi.org/10.7740/kjcs.2019.64.2.070
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