2012
DOI: 10.1177/0040517511426613
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Relationships of cotton fiber properties to ring-spun yarn quality on selected High Plains cottons

Abstract: Cotton fiber properties play an important role in determining spinning performance but explain only a portion of the variability in final yarn quality parameters. This research investigates relationships between ring-spun yarn quality and fiber properties (measured using the High Volume Instrument (HVI) and Advanced Fiber Information System (AFIS)) given additional information on harvest method and cultivar. Seventy-six samples of commercially grown cotton representing five cultivars from six locations across … Show more

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Cited by 57 publications
(47 citation statements)
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“…Similarly, Faulkner et al (2012) found that yarn properties were most frequently correlated to fiber length, strength and fineness. Cai et al (2013) stressed the importance of fiber length as a key property for yarn production and quality.…”
Section: Introductionmentioning
confidence: 90%
“…Similarly, Faulkner et al (2012) found that yarn properties were most frequently correlated to fiber length, strength and fineness. Cai et al (2013) stressed the importance of fiber length as a key property for yarn production and quality.…”
Section: Introductionmentioning
confidence: 90%
“…When compared with manual harvesting, mechanical cotton harvesting reduces costs and harvesting time. However, mechanical harvesting generally decreases the cotton fiber quality, particularly in terms of increases in the level of NEP content and foreign matter in the fiber (Calhoun et Zanetoni et al 3697 al., 1996;Hughs et al, 2000;Baker and Brashears, 2000;Willcutt et al, 2002;Baker and Hughes, 2008;Faulkner et al, 2012). As noted by Funk et al (2005), mechanically harvested cotton contained approximately 10 to 35% of foreign matter, including leaves, bark, sticks, stem, seeds and other debris.…”
Section: Author(s) Agree That This Article Remain Permanently Open Acmentioning
confidence: 97%
“…Improved computing power from the 1980s also meant fiber and yarn relationships were defined more in terms of their fit with statistical models, for example, multiple linear regression, principal component analysis and more recently Neural Network or Fuzzy Logic models. [25][26][27][28] Data selection Fiber properties used as independent variables in Cottonspec models were restricted to the properties measured on a bale basis by HVI, that is, micronaire, upper half mean length (UHML), uniformity index (UNI), SFC, tenacity and elongation at break (herein referred to as elongation). The reason for this restriction is based on the widespread availability of HVI lines; over 60% of the world's cotton is classed by HVI and virtually all export traded cotton is described this way.…”
Section: Yarn Quality Prediction Modelsmentioning
confidence: 99%