Study on the Quality Characteristics and Origin Traceability of Cotton in the Aksu, Xinjiang

ABSTRACT

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.

摘要

探讨新疆阿克苏四个产区棉花品质的差异，追溯产地，可以提高棉花品质和混棉效率. 本研究采用单向方差分析法对四个地区 2000 个棉花样品的9项质量指标进行了分析，以确定不同地区棉花的差异. 采用主成分分析（PCA）和Fisher判别分析（DA）建立原产地可追溯性模型. 结果表明，不同地区棉花品质存在显著差异. 主成分分析提取了前五个主成分，累积方差贡献率达到82.11%，主成分分析模型中信息丢失17.89%. 通过判别分析建立的原产地溯源模型表明，样本验证的准确率达到85.4%，交叉验证的准确度达到85.1%. 因此，基于棉花质量指标的Fisher判别模型可以有效地判别新疆不同地区的棉花.

KEYWORDS:

• Cotton in Xinjiang
• indicators
• quality differences
• principal component analysis
• discriminant analysis
• origin traceability

关键词:

• 新疆棉花
• 指标
• 质量差异
• 主成分分析
• 判别分析
• 原产地可追溯性

Acknowledgments

We are especially grateful to the Xinjiang Uygur Autonomous Region Fiber Quality Monitoring Center for its help in this study.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Author contributions

The manuscript was written through contributions of all authors. All authors have given approval to the final version of the manuscript.

Consent

All participants in the manuscript consent to publish.

Ethical approval

I confirm that all the research meets ethical guidelines and adheres to the legal requirements of the study country.

Additional information

Funding

This work was supported by Special Fund for Science and Technology of Xinjiang Uygur Autonomous Region [2022A01008-1].