Korean Journal of Plant Resources (한국자원식물학회지)

The Plant Resources Society of Korea (한국자원식물학회)
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Statistical Treatment on Amylose and Protein Contents in Rice Variety Germplasm Based on the Data Obtained from Analysis of Near-Infrared Reflectance Spectroscopy (NIRS)

NIRS 분석 Data에 의한 국내외 육성품종 벼 유전자원의 아밀로스 및 단백질 성분에 대한 통계분석

  • Oh, Sejong (National Agrobiodiversity Center, National Institute of Agricultural Sciences, RDA) ;
  • Chae, Byungsoo (National Agrobiodiversity Center, National Institute of Agricultural Sciences, RDA) ;
  • Lee, Myung Chul (National Agrobiodiversity Center, National Institute of Agricultural Sciences, RDA) ;
  • Choi, Yu Mi (National Agrobiodiversity Center, National Institute of Agricultural Sciences, RDA) ;
  • Lee, Sukyeung (National Agrobiodiversity Center, National Institute of Agricultural Sciences, RDA) ;
  • Ko, Ho Cheol (National Agrobiodiversity Center, National Institute of Agricultural Sciences, RDA) ;
  • Rauf, Muhammad (National Agrobiodiversity Center, National Institute of Agricultural Sciences, RDA) ;
  • Hyun, Do Yoon (National Agrobiodiversity Center, National Institute of Agricultural Sciences, RDA)
  • 오세종 (농촌진흥청 국립농업과학원 농업유전자원센터) ;
  • 채병수 (농촌진흥청 국립농업과학원 농업유전자원센터) ;
  • 이명철 (농촌진흥청 국립농업과학원 농업유전자원센터) ;
  • 최유미 (농촌진흥청 국립농업과학원 농업유전자원센터) ;
  • 이수경 (농촌진흥청 국립농업과학원 농업유전자원센터) ;
  • 고호철 (농촌진흥청 국립농업과학원 농업유전자원센터) ;
  • ;
  • 현도윤 (농촌진흥청 국립농업과학원 농업유전자원센터)
  • Received : 2018.04.26
  • Accepted : 2018.07.08
  • Published : 2018.10.31
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Abstract

A statistical analysis for 3651 genetic resources collected from China (1,542), Japan (1,409), Korea (413), and India (287) was conducted using normal distribution, variability index value (VIV), analysis of variation (ANOVA) and Ducan's multiple range test (DMRT) based on a data obtained from NIRS analysis. In normal distribution, the average protein content was 8.0%, whereas waxy type amylose and common rice amylose were found to be 8.7% and 22.7%, respectively. The protein contents ranged from 5.4 to 10.6% at the level of 95%. The waxy amylose and common rice amylose ranged from 5.9 to 11.5%, and from 16.9 to 28.5% at 95% confidence level, respectively. The VIV was 0.59 for protein, 0.64 for low amylose, and 0.81 for high amylose contents. The average amylose contents were 18.85% in Japanese, 19.99% in Korean, 20.27% in Chinese, and 25.46% in Indian resources, while the average protein contents were found to be 7.23% in Korean, 7.73% in Japanese, 8.01% in Chinese, and 8.17% in Indian resources. The ANOVA of amylose and protein content showed significant differences at the level of 0.01. The F-test for amylose content was 158.34, and for protein content 53.95 compared to critical value 3.78. The DMRT of amylose and protein content showed significant difference (p<0.01) between resources of different countries. Japanese resources had the lowest level of amylose contents, whereas, the lowest level of protein content was found in Korean resources compared to other origins. Indian resources showed the highest level of amylose and protein contents. It is recommended these results should be helpful to future breeding experiments.

본 연구는 선행연구에서 개발된 근적외선 분광분석(NIRS) 예측모델을 활용하여 측정된 국내외 육성품종 벼 유전자원의 아밀로스 및 단백질 함량 자료를 통계처리 하여 자원의 지리적 특성과 함량에 대한 정확한 정보를 제공하기 위해 실시하였다. 정규분포분석 결과 육성품종 벼 자원의 단백질 평균은 8.0%였고, 찰벼 아밀로스 평균은 8.8%였고, 메벼 아밀로스 평균은 22.7%였다. 전체자원의 95%를 차지하는 자원들의 함량범위는 단백질의 경우 5.4-10.6%, 찰벼 아밀로스는 5.9-11.5%, 메벼 아밀로스는 16.9-28.5%였다. 자원의 다양성지수는 단백질의 경우 0.59, 찰벼 아밀로스는 0.81, 메벼 아밀로스는 0.64였다. ANOVA, DMRT 처리 자원 수는 중국 자원의 경우 1,542, 일본은 1,409, 한국은 413, 인도는 287자원이었다. 국가별 아밀로스 평균함량은 일본 자원의 경우 18.85%, 한국 자원은 19.99%, 중국 자원은 20.27%, 인도 자원은 25.46%였다. 단백질 평균함량은 한국 자원의 경우 7.23%, 일본 자원은 7.73%, 중국 자원은 8.01%, 인도 자원은 8.17%였다. ANOVA 분석결과 벼 유전자원의 아밀로스 및 단백질 함량은 국가별 차이가 있었고 1% 유의수준에서 차이가 인정되었다. DMRT 분석결과 국가별 아밀로스 함량은 일본, 중국과 한국, 인도의 세 집단으로 나눌 수 있었으며 각 집단 간 아밀로스 함량차이는 1% 유의수준에서 차이가 인정되었다. 단백질 함량의 경우 한국, 일본, 인도와 중국의 세 집단으로 나눌수 있었으며, 각 집단 간 단백질 함량차이는 1% 유의수준에서 차이가 인정되었다. 일본 자원은 가장 낮은 아밀로스 평균함량을 나타냈고, 한국 자원은 가장 낮은 단백질 평균함량을 나타냈다. 이에 비해 인도 자원은 가장 높은 아밀로스와 단백질 평균함량을 나타냈다. 이러한 지리적 분포에 따른 육성품종 벼 자원 간 함량 차이는 각 지역별 자원 선호도와 육종 방향이 반영된 결과라고 할 수 있다.

Keywords

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