Acta Scientific Agriculture (ASAG)(ISSN: 2581-365X)

Research Article Volume 7 Issue 12

Determine the Technological Value of Cotton Fiber Using Decision Making Criteria

Mona El-Sayed Shalaby*

Senior Researcher, Cotton Grading Research Department, Cotton Research Institute, Agricultural Research Center (ARC), Egypt

*Corresponding Author: Mona El-Sayed Shalaby, Senior Researcher, Cotton Grading Research Department, Cotton Research Institute, Agricultural Research Center (ARC), Egypt.

Received: October 17, 2023; Published: November 28, 2023


This paper presents a study of indices of technological value that assemble cotton fiber quality properties. Four commercial Egyptian cotton varieties namely; Giza 92, Giza 96, Giza 94 and Giza 95 were used through 2022 season at Cotton Research Institute (CRI), Agricultural Research Center (ARC), Giza, Egypt. Four lint grades of each variety; Fully Good (FG), Good (G), Fully Good Fair (FGF) and Good Fair (GF) were selected. The studied indices were three Fiber Quality Indices (FQI1, FQI2 and FQI3), Spinning Consistency Index (SCI), Count Strength Product (CSP), Premium Discount Index (PDI), Multiplicative Analysis Hierarchy Process (MAHP) and Geometric Properties Index (GPI). Varieties and grades showed high diversity for Upper Half Mean Length, Mean Length, Uniformity Index, Micronaire Reading, Maturity Ratio, Strength, Reflectance Percentage, Yellowness Degree, Trash, and the three fiber quality Indices, SCI, CSP, PDI, MAHP and GPI. The obtained results showed that the combination of cotton fiber properties data allows us to determine quite accurately technological values for commercial cotton varieties. To make a decision of how well is the technological value indices reliable. Reliability clarified the measurements quality of the technological values indices and illustrated that SCI, FQI1, FQI2 and FQI3 gave the highest reliability cronbach coefficient for G 96, G 92, G 94 and G 95. It is indispensable for calculating one or more technological value criteria which are formulated for giving a sufficient prediction of obtaining quality and process ability. Thus will save efforts and money in spinning processes of yarn into different counts with twist and all industrial processes.

Keywords: Egyptian cotton Varieties; Cotton fiber properties; Fiber Quality Index (FQI); Spinning Consistency Index (SCI); Count Strength Product (CSP); Reliability Cronbach Coefficient


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Citation: Mona El-Sayed Shalaby. “Determine the Technological Value of Cotton Fiber using Decision Making Criteria". Acta Scientific Agriculture 7.12 (2023): 40-48.


Copyright: © 2023 Mona El-Sayed Shalaby. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.


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