Natural colored cotton has attracted increased attention as a sustainable alternative to traditional white cotton, as it eliminates the expensive and environmentally detrimental dying process. Nonetheless, the fiber and yarn traits of colored cotton are frequently reported to be inferior to conventional white cotton. This study compared the fiber traits and spinning efficacy of three naturally colored cotton types (light brown, dark brown, and green) with a conventional white cotton cultivar. Field trials were conducted at the Talat Demirören Research Center (GAP Agricultural Research Institute, Şanlıurfa, Turkey) during 2020. Fiber quality traits were assessed using the High-Volume Instrument (HVI) and the Advanced Fiber Information System (AFIS), while 30/1 Ne count yarns were spun on a ring spinning frame to test yarn quality in terms of evenness and imperfections. The colored cotton fibers revealed significantly different quality traits relative to white cotton. Specifically, green cotton fibers had the lowest HVI and AFIS quality metrics, while the dark brown cotton exhibited the highest fiber quality among the colored varieties. Yarns produced from light brown cotton had the lowest evenness and the highest levels of imperfection, whereas yarns derived from dark brown cotton demonstrated superior quality among the colored types. Overall, conventional white cotton produced much superior fiber and yarn quality compared to all colored cottons. These findings highlight the difficulties in producing colored cotton with competitive fiber traits. Nonetheless, naturally colored cotton might achieve broader adoption by suitable breeding and agronomic improvements. These improvements will provide a sustainable alternative for the textile sector without compromising quality.
| Primary Language | English |
|---|---|
| Subjects | Agronomy, Industrial Crops |
| Journal Section | Research Article |
| Authors | |
| Submission Date | October 28, 2025 |
| Acceptance Date | December 5, 2025 |
| Publication Date | December 26, 2025 |
| Published in Issue | Year 2025 Volume: 9 Issue: 4 |
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