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ARS Home » Southeast Area » New Orleans, Louisiana » Southern Regional Research Center » Cotton Structure and Quality Research » Research » Publications at this Location » Publication #313270
Title: Use of near infrared spectroscopy in cotton micronaire assessment

Author
item Liu, Yongliang
item Campbell, Benjamin - Todd
item Delhom, Christopher
item MARTIN, VIKKI - Cotton, Inc

Submitted to: National Cotton Council Beltwide Cotton Conference
Publication Type: Proceedings
Publication Acceptance Date: 1/21/2015
Publication Date: 5/11/2015
Citation: Liu, Y., Campbell, B.T., Delhom, C.D., Martin, V. 2015. Use of near infrared spectroscopy in cotton micronaire assessment. In: Proceedings of the National Cotton Council Beltwide Cotton Conference, January 7-9, 2015, San Antonio, Texas. p. 317-322.

Interpretive Summary: Micronaire is one of important cotton properties as it reflects fiber maturity and fineness. Automation-based high volume instrumentation (HVITM) measurement has been well established as a primary and routine tool of providing fiber micronaire and other quality properties to cotton breeders and fiber processors. This study examined the potential of near-infrared (NIR) spectroscopy for the prediction of cotton micronaire, and the result indicated the feasibility of NIR model for micronaire assessment of different crop-year cottons. The outcome provides cotton fiber researchers a new sight in applying NIR technique for cotton quality application.

Technical Abstract: Micronaire is one of important cotton properties as it reflects fiber maturity and fineness. Automation-based high volume instrumentation (HVITM) measurement has been well established as a primary and routine tool of providing fiber micronaire and other quality properties to cotton breeders and fiber processors. This study examined the potential of near-infrared (NIR) spectroscopy for the prediction of cotton micronaire, by validating the calibration model with an independent validation set and also with additional crop-year fibers. Results indicated that the development of a robust NIR model for micronaire assessment is feasible and could be utilized to screen micronaire component of different crop-year cottons at remote / breeding locations.