20Jan 2018

QUALITY ASSESSMENT ON JAPONICA AND INDICA RICE GENOTYPES BASED ON RAPID VISCO ANALYZER (RVA) PASTING PROFILE.

  • M.Sc. Student of Laboratory of Tropical Crop Science, Department of International Agricultural Development, Tokyo University of Agriculture, Tokyo, Japan.
  • Department of International Agricultural Development, Tokyo University of Agriculture, Tokyo, Japan.
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The quality assessment of rice is increasingly essential and it is one of the most essential foods in the diet of human. The quality of rice is defined as eating quality and cooked texture. RVA is a heating and cooling viscometer that provides information on the pasting properties. RVA profile might be used as an indirect index to evaluate the rice grain quality which would be helpful for selection of parent lines with good quality in rice breeding program. In this investigation, we focused to assess quality on japonica and indica rice genotypes based on RVA pasting profile. Results showed that PSM (Japonica) was more viscous than other genotypes due to highest final viscosity and the good cooking quality varieties have higher breakdown viscosity, lower setback and lower final viscosity. The good eating quality varieties have lower breakdown viscosity, higher final viscosity and setback viscosity. In this study, if compared with Thaichung 65 and IR 24 (Indica), PSM (Japonica) could have good cooking and eating quality due to highest breakdown viscosity and lowest setback viscosity. Rice breeders can employ them in breeding programs using the Japonica and indica rice genotypes with desirable property for improvement of grain quality.

  1. Bao, J.S., P.He, Y.W. Xia, Y. Chen and L.H. Zhu, 1999. RVA profile characteristics of rice mainly controlled by Wx gene. Chinese Sci Bull, 44(18): 1973-1976.
  2. Bao, J.S. 2012. Toward understanding the genetic and molecular bases of the eating and cooking qualities of rice. Cereal Foods World, 57(4), 148-156.
  3. Champagne, E.T., K.L. Bett, B.T. Vinyard, A.M. McClung, F.E. Barton II, K. Moldenhauer, S. Linscombe and K. McKenzie, 1999. Correlation between cooked rice texture and Rapid ViscoAnalyser measurements. Cereal Chem, 76: 764-771.
  4. Champagne, E.T., K.L. Bett-Garber, A. M. McClung and C. Bergman. 2004. Sensory characteristics of diverse rice cultivars as influenced by genetic and environmental factors. Cereal Chemistry. 81(2), 237-243.
  5. Chung, W.K., A. Han, M.Saleh and J.F. Meullenet, 2003. Prediction of long grain rice texture form pasting properties. BR Wells Arkansas Rice Research Studies. 517: 355-361.
  6. Corke, H., H. Wu, S. Yue and H.Sun. 1997. Developing specialty starches from new crops: A case study using grain amaranth. In Cereals: Novel Uses and Processes, 95-100. New York: Plenum Press.
  7. Crosbie, G.B., and A.S. Ross. 2007. The RVA handbook. AACC International. MN: International.
  8. Daramola, B. and O.O. Makanju. 2008. Assessment of selected cooking characteristics prime starch and food grade fibre isolated from cassava (ManihotEsculenta) Pulp. African Journal of Biotechnology 7(15): 2717- 2720.
  9. Gravois,K.A., and B.D. Webb, 1997. Inheritance of long grain rice amylograph viscosity characteristics. Euphytica . 97: 25-29.
  10. Han, X.Z., and B.R. Haymaker. 2001. Amylopectin fine structure and rice starch paste breakdown. J Cereal Sci, 34: 279-284.
  11. He,P., S.G. Li, Y.Q. Ma, J.Z. Li, W.M. Wang, Y. Chen and L.H. Zhu.1999. Genetic analysis of rice grain quality. TheorAppl Genet, 98: 502-508.
  12. J. 2004. Starch: Structure and properties. In Tomasil, P. (Ed). Chemical and fuctional of properties of food sacharides, P.82-96. USA: CRC Press.
  13. Kaur, A., N.Singh, R. Ezekiel and H.S. Guraya. 2007. Physicochemical, thermal and pasting properties of starches separated from different potato cultivars grown at different locations. Food chemistry 101(2): 643-651.
  14. McKenzie, K.S., and J.N. Rutger, 1983. Genetic analysis of amylase content, alkali spreading score, and grain dimensions in rice. Crop Sci, 23: 306-313.
  15. Shu, Q.Y., D.X. Wu, Y.W. Xia, M.W. Gao and A. McClung, 1998. Studies on the apparent amylase content and starch viscosity of indica hybrid rice. J Zhejiang AgricUniv, 24(6): 621-626.
  16. Singh, N., L. Kaur, N.S. Sodhi and K.S. Sekhon. 2005. Physicochemical, cooking and textural properities of milled rice from different Indian rice cultivars. Food Chemistry, 89(2), 253-259.
  17. Vasudeva, S., H. Okadome, H. Toyoshima, S. Isobe and K. Ohtsubo. 2000. Thermal and physicochemical properties of rice grain, flour and starch. Jorunal of Agricultural and Food Chemistry 48: 2639-2647.
  18. Wrigley, C.W., R.I. Booth, M.L. Bason and C.E. Walker. 1996. Rapid Visco Analyzer: Progress from Concept to Adoption. Cereal Foods World 41(1): 6-11.
  19. Wu, D.X., Q.Y. Shu, Y.W. Xia. 2001. Rapid identification of starch viscosity property of early indica rice varieties with different apparent amylase content by RVA profile. Chinese J Rice Sci, 15(1): 57-59.

[ZinWai Maw and Irie Kenji. (2018); QUALITY ASSESSMENT ON JAPONICA AND INDICA RICE GENOTYPES BASED ON RAPID VISCO ANALYZER (RVA) PASTING PROFILE. Int. J. of Adv. Res. 6 (Jan). 917-924] (ISSN 2320-5407). www.journalijar.com

Zin Wai Maw
Tokyo University of Agriculture

DOI:

Article DOI: 10.21474/IJAR01/6301      
DOI URL: https://dx.doi.org/10.21474/IJAR01/6301

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