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Key quality traits in rice grains determining fresh wet rice noodles quality: a multivariate statistical methods across varieties

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成果类型:
期刊论文
作者:
Yufei Li;Yajun Hu;Yue Wang
作者机构:
[Yufei Li; Yajun Hu] Department of Agronomy, College of Agronomy, Hunan Agricultural University, Changsha, China
Yuelu Mountain Laboratory of Hunan Province, Hunan Agricultural University, Changsha, China
The Key Laboratory of Crop Germplasm Innovation and Resource Utilization of Hunan Province, Hunan Agricultural University, Changsha, China
语种:
英文
关键词:
multiple analysis methods;amylose content;flour rice;fresh wet rice noodles;gel consistency
期刊:
FRONTIERS IN PLANT SCIENCE
ISSN:
1664-462X
年:
2025
卷:
16
页码:
1685290
基金类别:
The author(s) declare financial support was received for the research and/or publication of this article. The National Key R&D Program of China (2023YFD2301401; 2023YFD2301305), and the Hunan Province Graduate Research Innovation Project (QL20230173; CX20240636).
机构署名:
本校为第一机构
院系归属:
农学院
摘要:
Fresh wet rice noodles is one of the delicacies for young and old in East and Southeast Asia. Its main material is rice. However, there are many varieties of rice. Not all rice is suitable for processing into fresh wet rice noodles. In this study, we used 22 rice varieties as raw materials to produce fresh wet rice noodles. Multiple analysis methods, including correlation analysis, principal component analysis, affiliation function analysis, cluster analysis, stepwise regression, and gray correlation analysis, were used to evaluate and classify the quality of rice and fresh wet rice noodles. I...

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