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ARS Home » Southeast Area » New Orleans, Louisiana » Southern Regional Research Center » Cotton Structure and Quality Research » Research » Research Project #433466

Research Project: Realizing Fiber Quality Insights

Location: Cotton Structure and Quality Research

Project Number: 6054-44000-080-01-R
Project Type: Reimbursable Cooperative Agreement

Start Date: Jan 1, 2019
End Date: Dec 31, 2019

The objectives of this project are: 1)Develop a robotic system to acquire fiber quality information at the gin, 2) Explore the National Cotton Variety Test database to acquire new insights into fiber quality, and 3) Determine potential causes of lint color change by simulating storage conditions of raw lint.

Acquire fiber quality information in-situ at the gin. Digital images of the sides of the bales will be collected during the current ginning season. These images will be processed and the data used to test for their ability to predict AMS leaf grade. Additional image analysis will be performed to evaluate the potential to determine color grade from the same images as leaf grade. NIR spectra and colorimeter data have already been collected on several thousand bales over the past few gin seasons. The spectra have been used to build a model of micronaire, but how predictive these model are needs to be determined with independent data collected this year. (NIR spectra have been used to determine micronaire in the laboratory.) The colorimetric data will be evaluated to see if reasonable correlations can be developed with AMS +b results. Results from the current year will be used to improve the autonomous system for the next ginning season. Acquire new insights into fiber quality from an examination of existing fiber quality databases NCVT data from the 2012-2017 crop years will be the first to be examined, as the data was collected on a single HVI line for that time period. The 2018 crop year data will be added as it becomes available. Data prior to 2012 may have inconsistencies between the method described in the reports and the actual method used. Elongation will be the initial fiber quality parameter explored. Preliminary work has indicated geographic patterns in fiber elongation results. Elongation is known to be heritable, but regional differences have not been documented or understood. Statistical analysis of variety, location and fiber quality data from the NCVT database should confrim the apparent trends. Years prior to HVI use by the NCVT may also be examined for fiber elongation patterns as those years utilized the Stelometer (STrength and ELOngation instrument) which includes calibration for elongation. Although elongation will be the primary focus, additional fiber quality traits, including strength, length, and micronaire will be investigated for similar trends and relationships as time permits. Explore potential causes of color change in ginned lint A scoured and bleached 100% cotton fabric will be utilized as a convenient cotton carrier. The fabric will be dosed with various chemical and biological compounds at concentrations that are normally found on raw cotton fibers. The fabrics will be conditions similar to those expected from prolonged shipments or storage of raw bales. Color data will be collected before and after dosing of the fabrics and after storage will be collected. A comparison of the treatments is expected to give relative information about the likely mechanisms involved in cotton color change.