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Main quality analysis and comprehensive evaluation of rice resources in Liaoning
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Yi-Cen CHEN1, *, Xu ZHAO1, Lin LIN1, Feng LU2, Si-Min XING1, Li-Na QIAO2, Hong-Mei JING3
Journal of Food Safety & Quality | 2025, 16(6) : 177 - 182
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Journal of Food Safety & Quality | 2025, 16(6): 177-182
Special Topic: Comprehensive Utilization and Quality Safety of Agricultural Products
Main quality analysis and comprehensive evaluation of rice resources in Liaoning
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Yi-Cen CHEN1, *, Xu ZHAO1, Lin LIN1, Feng LU2, Si-Min XING1, Li-Na QIAO2, Hong-Mei JING3
Affiliations
  • 1. Liaoning Grain Science Research Institute, Shenyang 110000, China
  • 2. Liaoning Province Food and Materials Reserve Affairs Service Center, Shenyang 110000, China
  • 3. Tieling Project Service Centre, Tieling 112000, China
Published: 2025-03-25 doi: 10.19812/j.cnki.jfsq11-5956/ts.20241028004
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Objective To systematically evaluate the differences in overall quality of rice from different regions in Liaoning Province. Methods Using 125 different rice varieties as research objects, the quality of rice from different regions in Liaoning Province was analyzed and comprehensively evaluated through physical and chemical testing methods, using correlation analysis (CA), principal component analysis (PCA), and hierarchical cluster analysis (HCA). Results The order of influence of different varieties and origins of rice on quality indicators was: Retention rate of germ grains>chalky grains rate>chalkiness>milled rice rate>brown rice rate>moisture> ash>protein>brown rice quality>fat>length-width ratio>fiber. Using stepwise regression analysis, the regression equation was obtained as follows: Brown rice rate=4.672×brown rice quality-0.104×chalky grains rate+0.141×chalkiness-0.860×length-width ratio-13.205. PCA extracted 4 principal components with a cumulative variance contribution rate of 80.046%, effectively elucidating all quality information characteristics. The results from HCA were consistent with those obtained from PCA, categorizing the 125 rice varieties into 3 major groups; through comprehensive assessment, the top 3 ranked varieties were identified as Yudao No.17 from Xiqing Village, Shiyuan Town, Dashiqiao City in Yingkou; Ichigo-hime from Zhangjia Village at Xinli Farm in Dawa County, Panjin; and Yanfeng No.47 from Gongxing Village in Tianshui Township, Panshan County, Panjin. Conclusion This study effectively highlights the differences in quality among various regional rices within Liaoning and provides a theoretical basis for breeding programs and product development related to rice germplasm.

Liaoning Province  /  rice  /  quality investigation  /  quality analysis  /  evaluation
Yi-Cen CHEN, Xu ZHAO, Lin LIN, Feng LU, Si-Min XING, Li-Na QIAO, Hong-Mei JING. Main quality analysis and comprehensive evaluation of rice resources in Liaoning[J]. Journal of Food Safety & Quality, 2025 , 16 (6) : 177 -182 . DOI: 10.19812/j.cnki.jfsq11-5956/ts.20241028004
Year 2025 volume 16 Issue 6
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Article Info
doi: 10.19812/j.cnki.jfsq11-5956/ts.20241028004
  • Receive Date:2024-10-28
  • Online Date:2025-07-19
  • Published:2025-03-25
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  • Received:2024-10-28
Affiliations
    1. Liaoning Grain Science Research Institute, Shenyang 110000, China
    2. Liaoning Province Food and Materials Reserve Affairs Service Center, Shenyang 110000, China
    3. Tieling Project Service Centre, Tieling 112000, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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