Abstract

The purpose of the current study is to characterize Egyptian cotton using HVI and CCS measurements. The present investigation was carried out at two different locations: The Global Center for Cotton Testing Research in International Cotton Association (ICA) using HVI instrument in Germany and Egyptian and International Cotton Classification Center (EICCC), Cotton Research Institute (CRI), Agricultural Research Center (ARC) using CCS instrument in Egypt. Samples are sourced from standardized preparation stages to obtain more homogeneity. All samples were collected from 2018 and 2019 cotton growing seasons. The studied cotton fiber properties: upper half mean (UHM), uniformity index (UI %), short fiber index (SFI %), strength (FS) and elongation (E %) and micronaire reading (Mike) and maturity ratio (MR). The studied cotton varieties include long staple cotton varieties i.e., Giza 86 and Giza 95 and extra-long staple cotton varieties i.e., Giza 92 and Giza 93, in terms of basic Egyptian cotton grade Good (G). The results of HVI and CCS measurements were detected by using descriptive statistics such as measures of central tendency and dispersion, skewness, and kurtosis. The CCS measurements were more stable than HVI measurements. Confidence intervals of CCS measurements were close to each other compared to HVI measurements. For instance, in Giza 92, confidence interval of UHM was 32.00-32.32for HVI and 32.50-32.55for CCS, adding to confidence intervals for FS were 45.19-46.83for HVI and 46.99-47.17 for CCS. Meanwhile, confidence intervals for Mike were 3.04–3.21 for HVI and 3.12–3.14 for CCS. Basically, sample sizes of CCS were larger more than sample sizes of HVI so that results of CCS measurements were more homogenous than HVI measurements. Applying reliability analysis for consistent results in CCS and HVI measurements elaborated Cronbach's value were more efficient than using Cronbach's value if item deleted for both CCS and HVI. Cronbach's value of CCS measurements was more than HVI measurements and that due to the homogeneity of CCS samples compared to HVI samples.

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