Quantitative Analysis of Amylose and Protein Content of Rice Germplasm in RDA-Genebank by Near Infrared Reflectance Spectroscopy
2008
Kim, J.S. (National Institute of Agricultural Biotechnology, RDA, Suwon, Republic of Korea) | Cho, Y.H. (National Institute of Agricultural Biotechnology, RDA, Suwon, Republic of Korea) | Gwag, J.G. (National Institute of Agricultural Biotechnology, RDA, Suwon, Republic of Korea) | Ma, K.H. (National Institute of Agricultural Biotechnology, RDA, Suwon, Republic of Korea) | Choi, Y.M. (National Institute of Agricultural Biotechnology, RDA, Suwon, Republic of Korea) | Kim, J.B. (National Institute of Agricultural Biotechnology, RDA, Suwon, Republic of Korea) | Lee, J.H. (National Institute of Crop Science, RDA, Suwon, Republic of Korea) | Kim, T.S. (National Institute of Agricultural Biotechnology, RDA, Suwon, Republic of Korea) | Cho, J.K. (FOSS Korea Ltd., Seongnam, Republic of Korea) | Lee, S.Y. (National Institute of Agricultural Biotechnology, RDA, Suwon, Republic of Korea), E-mail: [email protected]
Amylose and protein contents are important traits determining the edible quality of rice, especially in East Asian countries. Near-Infrared Reflectance Spectroscopy (NIRS) has become a powerful tool for rapid and nondestructive quantification of natural compounds in agricultural products. To test the practically of using NIRS for estimation of brown rice amylose and protein contents, the spectral reflectances (400~2500 nm) of total 9,483 accessions of rice germplasm in Rural development Administration (RDA) Genebank ere obtained and compared to chemically determined amylose and protein content. The protein content of tested 119 accessions ranged from 6.5 to 8.0% and 25 accessions exhibited protein contents between 8.5 to 9.5%. In case of amylose content, all tested accessions ranged from 18.1 to 21.7% and the grade from 18.1 to 19.9% includes most number of accessions as 152 and 4 accessions exhibited amylose content between 20.5 to 21.7%. The optimal performance calibration model could be obtained from original spectra of brown rice using MPLS (Modified Partial Least Squares) with the correlation coefficients (r²) for amylose and protein content were 0.865 and 0.786, respectively. The standard errors of calibration (SEC) exhibited good statistic values: 2.078 and 0.442 for amylose and protein contents, respectively. All these results suggest that NIR spectroscopy may serve as reputable and rapid method for quantification of brown rice protein and amylose contents in large numbers of rice germplasm.
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