Parameters and QTLs for Milling Quality in Rice : A Review

Authors

  • Musa Khammari  M.S.C, Department of Geographic and Urban Planning Collage of Human Sciences. University of Zahedan. Zahedan, Iran
  • DA-Khammari  M.S.C, student, Department of Plant Breeding And Biotechnology Collage of Agriculture. University of Zabol. Zabol, Iran
  • MO-Rezaei nia  M.S.C, student, Department of Plant Breeding And Biotechnology Collage of Agriculture. University of Zabol. Zabol, Iran
  • MA-Mohammad Khani  M.S.C, student, Department of Plant Breeding And Biotechnology Collage of Agriculture. University of Zabol. Zabol, Iran

Keywords:

Rice, Milling quality, Physical Properties , quantitative trait locus (QTL)

Abstract

Rice (Oryza sativaL.) is the most important staple food in the world, providing more than 21% of the calorific needs of the world population. Rice varieties can be grouped into several quality classes based on consumer preferences. These quality classes are based on physical properties (head rice recovery, chalkiness, grain size and shape, and grain color) and starch quality influencing cooking and organoleptic properties. Milling quality determines the final yield and the broken kernel rate of the milled rice, which is of concern for consumers and farmers. Three main parameters, brown rice recovery (the percentage of brown rice to rough rice), milled rice recovery (the percentage of milled rice to rough rice), and head rice recovery (the percentage of head rice to rough rice) are used to evaluate the quality and efficiency of the milling process. Milling quality, which is one kind of complex quantitative trait whose genetic control is poorly understood. However, many studies have been carried out to search quantitative trait locus (QTL) for the milling quality.

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Published

2016-04-08

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Section

Research Articles

How to Cite

[1]
Musa Khammari, DA-Khammari, MO-Rezaei nia, MA-Mohammad Khani, " Parameters and QTLs for Milling Quality in Rice : A Review, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 2, Issue 2, pp.145-149, March-April-2016.