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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

  • Oh, Sejong (National Agrobiodiversity Center, National Institute of Agricultural Sciences, RDA) ;
  • Choi, Yu Mi (National Agrobiodiversity Center, National Institute of Agricultural Sciences, RDA) ;
  • Yoon, Hyemyeong (National Agrobiodiversity Center, National Institute of Agricultural Sciences, RDA) ;
  • Lee, Sukyeung (National Agrobiodiversity Center, National Institute of Agricultural Sciences, RDA) ;
  • Yoo, Eunae (National Agrobiodiversity Center, National Institute of Agricultural Sciences, RDA) ;
  • Lee, Myung Chul (National Agrobiodiversity Center, National Institute of Agricultural Sciences, RDA) ;
  • Rauf, Muhammad (National Agrobiodiversity Center, National Institute of Agricultural Sciences, RDA) ;
  • Chae, Byungsoo (National Agrobiodiversity Center, National Institute of Agricultural Sciences, RDA)
  • 오세종 (농촌진흥청 국립농업과학원 농업유전자원센터) ;
  • 최유미 (농촌진흥청 국립농업과학원 농업유전자원센터) ;
  • 윤혜명 (농촌진흥청 국립농업과학원 농업유전자원센터) ;
  • 이수경 (농촌진흥청 국립농업과학원 농업유전자원센터) ;
  • 유은애 (농촌진흥청 국립농업과학원 농업유전자원센터) ;
  • 이명철 (농촌진흥청 국립농업과학원 농업유전자원센터) ;
  • ;
  • 채병수 (농촌진흥청 국립농업과학원 농업유전자원센터)
  • Received : 2019.04.04
  • Accepted : 2019.06.10
  • Published : 2019.06.30

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

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Fig. 1. Density function of probability for protein contents on landrace rice germplasm.

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Fig. 2. ANOVA procedure

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Fig. 3. Relationship between the formula (C=A+B; A=C−B; B=C−A).

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Fig. 4. General concept of calculating SSB (A), SSW (B) and SST (C=SSB+SSW) with mean values ($\overline{X_1}$, $\overline{X_4}$, $\overline{X_t}$) in normal distribution for ANOVA.

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Fig. 5. Procedure of Duncan’s multiple range test.

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Fig. 6. Correlation plots between NIRS data, amylose (A) and protein content (B) in the milled brown rice germplasm.

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Fig. 7. Normal distribution and probability density of amylose content in total landrace rice germplasm (n=4,948).

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Fig. 8. Normal distribution and probability density of amylose content in waxy-type landrace rice germplasm (n=568).

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Fig. 9. Normal distribution and probability density of protein content in waxy-type landrace rice germplasm (n=568).

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Fig. 10. Normal distribution and probability density of nonglutinous rice amylose content in landrace rice germplasm (n=4,380).

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Fig. 11. Normal distribution and probability density of non-glutinous amylose content in landrace rice germplasm of South Korea (A), North Korea (B), Japan (C) and China (D).

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Fig. 12. Normal distribution and probability density of nonglutinous protein content in landrace rice germplasm (n=4,380).

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Fig. 13. Normal distribution and probability density of non-glutinous protein content in landrace rice germplasm from South Korea (A), North Korea (B), Japan (C) and China (D).

Table 1. Distribution of landrace rice germplasm based on geographical origin.

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Table 2. Frequency distribution table of protein contents of landrace rice germplasm.

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Table 3. ANOVA formula definition.

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Table 4. Descending arrangement of average values ($\overline{X}$) in each group and the determination of Studentized range p-value.

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Table 5. Calculation of LSR value (at significance level α=0.01).

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Table 6. Creating DMRT table by comparing with $\overline{X}$ and | $\overline{X}$ - LSR0.01 | value in each group.

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Table 7. Interpretation of DMRT result.

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Table 8. External validation results of NIRS equation model for the amylose and protein content in the milled brown rice.

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Table 9. Statistics data table for ANOVA test on non-glutinous rice amylose content based on geographical origin.

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Table 10. ANOVA table of non-glutinous rice amylose contents in landrace rice germplasm from various countries.

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Table 11. Statistics data table for ANOVA test on non-glutinous rice protein content based on geographical origin.

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Table 12. ANOVA table of non-glutinous rice protein contents in landrace rice germplasm from various countries.

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Table 13. DMRT table of non-glutinous rice amylose content in landrace germplasm based on countries of origin.

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Table 14. DMRT table of non-glutinous protein content in landrace rice germplasm based on countries of origin.

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Table 15. Amylose and protein contents of non-glutinous in landrace rice germplasm based on countries of origin.

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Acknowledgement

Supported by : 농촌진흥청

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