Study on the Quality Characteristics and Origin Traceability of Cotton in the Aksu, Xinjiang
Exploring the differences of cotton quality among the four production areas in Aksu, Xinjiang and tracing the origin can improve cotton quality and cotton blending efficiency. In this study, nine quality indicators of 2000 cotton samples from four regions were analyzed by one-way analysis of varianc...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2024-12-01
|
| Series: | Journal of Natural Fibers |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/15440478.2024.2311298 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Exploring the differences of cotton quality among the four production areas in Aksu, Xinjiang and tracing the origin can improve cotton quality and cotton blending efficiency. In this study, nine quality indicators of 2000 cotton samples from four regions were analyzed by one-way analysis of variance to determine the differences of cotton from different regions. Principal component analysis (PCA) and Fisher discriminant analysis (DA) were used to establish the origin traceability model. Results show that there were significant differences in the quality of cotton from different regions. PCA extracted the first five principal components, and the cumulative variance contribution rate reaches 82.11%, 17.89% information are lost in the PCA model. The origin traceability model established by discriminant analysis shows that the accuracy of sample verification reaches 85.4% and the accuracy of cross-validation reaches 85.1%. Therefore, the Fisher discriminant model based on cotton quality indicators can effectively discriminate cotton from different regions in Xinjiang, China. |
|---|---|
| ISSN: | 1544-0478 1544-046X |