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ARS Home » Southeast Area » New Orleans, Louisiana » Southern Regional Research Center » Cotton Quality and Innovation Research » Research » Publications at this Location » Publication #399343

Research Project: Enhancing the Quality and Sustainability of Cotton Fiber and Textiles

Location: Cotton Quality and Innovation Research

Title: Application of Fourier transform infrared spectroscopy for classifying cotton fiber maturity of a cotton genetic population composed of homozygous and heterozygous genotypes

Author
item Liu, Yongliang
item Kim, Hee

Submitted to: National Cotton Council Beltwide Cotton Conference
Publication Type: Abstract Only
Publication Acceptance Date: 10/28/2022
Publication Date: N/A
Citation: N/A

Interpretive Summary: Cotton fiber maturity is an important property that affects the processing and performance of cotton. Previous investigation showed the feasibility of applying HVI micronaire, lint percentage and attenuated total reflection Fourier transform infrared (ATR FT-IR) maturity analysis to classify the immature fiber (im) phenotype from the wild type (WT) mature fiber phenotype in the F2 population composed of various genotypes including WT homozygosity (WT-homo), WT heterozygosity (WT-hetro), and im homozygosity (im-homo). It also revealed the difficulty of further separating the WT fiber phenotypes composed of two different genotypes (WT-homo vs. WT-hetro) by these approaches. In this study, we explored the potential for the discrimination of individual fiber maturity phenotype (30 WT-homo fibers, 42 WT-hetro fibers, or 20 im-homo fibers) using a three-class classification model from ATR FT-IR spectra. The results indicated that the model could yield an acceptable identification rate (> 90.0%) for detecting the fiber maturity variations among the three different genotypes.

Technical Abstract: Cotton fiber maturity is an important property that affects the processing and performance of cotton. Previous investigation showed the feasibility of applying HVI micronaire, lint percentage and attenuated total reflection Fourier transform infrared (ATR FT-IR) maturity analysis to classify the immature fiber (im) phenotype from the wild type (WT) mature fiber phenotype in the F2 population composed of various genotypes including WT homozygosity (WT-homo), WT heterozygosity (WT-hetro), and im homozygosity (im-homo). It also revealed the difficulty of further separating the WT fiber phenotypes composed of two different genotypes (WT-homo vs. WT-hetro) by these approaches. In this study, we explored the potential for the discrimination of individual fiber maturity phenotype (30 WT-homo fibers, 42 WT-hetro fibers, or 20 im-homo fibers) using a three-class classification model from ATR FT-IR spectra. The results indicated that the model could yield an acceptable identification rate (> 90.0%) for detecting the fiber maturity variations among the three different genotypes.