Analysis and evaluation of rice grain quality in Indica rice (Oryza sativa L.)

Authors

  • Zhiqiang Fang Rice Research Institute, Guangdong Academy of Agricultural Science/Guangdong Provincial Key Laboratory of New Technology in Rice Breeding/Guangdong Rice Engineering Laboratory, Guangzhou, China
  • Zhanhua Lu Rice Research Institute, Guangdong Academy of Agricultural Science/Guangdong Provincial Key Laboratory of New Technology in Rice Breeding/Guangdong Rice Engineering Laboratory, Guangzhou, China
  • Shiguang Wang Rice Research Institute, Guangdong Academy of Agricultural Science/Guangdong Provincial Key Laboratory of New Technology in Rice Breeding/Guangdong Rice Engineering Laboratory, Guangzhou, China
  • Wei Liu Rice Research Institute, Guangdong Academy of Agricultural Science/Guangdong Provincial Key Laboratory of New Technology in Rice Breeding/Guangdong Rice Engineering Laboratory, Guangzhou, China
  • Dongbai Lu Rice Research Institute, Guangdong Academy of Agricultural Science/Guangdong Provincial Key Laboratory of New Technology in Rice Breeding/Guangdong Rice Engineering Laboratory, Guangzhou, China
  • Xiuying He Rice Research Institute, Guangdong Academy of Agricultural Science/Guangdong Provincial Key Laboratory of New Technology in Rice Breeding/Guangdong Rice Engineering Laboratory, Guangzhou, China
  • Xiaofei Wang Rice Research Institute, Guangdong Academy of Agricultural Science/Guangdong Provincial Key Laboratory of New Technology in Rice Breeding/Guangdong Rice Engineering Laboratory, Guangzhou, China

DOI:

https://doi.org/10.5073/JABFQ.2022.095.017

Abstract

Rice quality is a comprehensive quantitative trait greatly influenced by heredity and environment. Here, 11 rice quality traits and Rapid Visco-Analyser (RVA) profiles of 30 indica rice germplasms were detected and analyzed. In addition, we used grain size genes and starch synthesis gene Wx to detect the rice quality genotypes of rice. The results showed different degrees of correlation among rice quality traits. In addition, principal component analysis (PCA) divided rice quality traits into four principal components, and the cumulative contribution rate reached 82.478%. Cluster analysis divided 30 rice varieties into five categories. The first four types had better rice quality. Identification of rice quality genes indicated that most of the genotypes were GS3, GS9, GW5, GW8 and Wxb, and a few were GW7 and Wxa. Identifying rice quality characteristics and genotypes of rice varieties may lay a theoretical foundation for promoting the cultivation of new rice varieties, enabling breeders and
researchers to develop better rice varieties.

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Published

2022-09-07

Issue

Vol. 95 (2022): Journal of Applied Botany and Food Quality

Section

Plant breeding and cultivation

License

Copyright (c) 2022 The Author(s)

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