Equations for Predicting Cotton Processing Performance and Product Quality by Improved Evaluations of Raw-Cotton Quality

Robert W. Webb

No 310193, Marketing Research Reports from United States Department of Agriculture, Agricultural Marketing Service, Transportation and Marketing Program

Abstract: Excerpts from the report: The equations and related information presented in this report are helpful to the cotton trade and textile industry in choosing cottons best suited to the manufacture of specific products, in selecting various blends of cotton for processing, and for meeting different levels of product quality. Such equations and knowledge, moreover, give assistance to cotton breeders by informing them of the fiber properties they should consider important in their programs. This report presents a number of new equations for predicting the strength and appearance of any size of carded yarn over a wide range, number of neps per 100 sq. in. of card web, and percentage of total picker and card waste on the basis of improved methods for evaluating raw-cotton quality. Predicting equations including only the several most important factors to each of those dependent variables, however, are recommended. These equations are adapted to the general run of American upland cottons in current commercial production.

Keywords: Crop Production/Industries; Marketing; Research and Development/Tech Change/Emerging Technologies; Research Methods/Statistical Methods (search for similar items in EconPapers)
Pages: 58
Date: 1956-04
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Persistent link: https://EconPapers.repec.org/RePEc:ags:uamsmr:310193

DOI: 10.22004/ag.econ.310193

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