Mixing lint grades in relation to fiber and yarn quality of Egyptian cotton

This study was undertaken to investigate the effect of different mixing percentages of lint grades of Egyptian cotton varieties on fiber properties and yarn strength. Two lint grades within each variety of four Egyptian cottons from 2022 and 2023 crop seasons were used; Good to Fully Good (G/FG) and Fully Good Fair (FGF) for Giza 86, Good to Fully Good (G/FG) and Fully Good Fair to Good (FGF/G) for Giza 92, Good to Fully Good (G/FG) and Good Fair (GF) for Giza 94 and, Fully Good (FG) and Fully Good Fair (FGF) for Giza 95 with mixing percentage (30%-40%-50%) of the highest grades for each variety. Mixed lots of lint cotton grades were tested on Fiber Classifying System (FCS) instrument to measure fiber properties. Yarn strength was tested on Good Brand Lea tester at 60s and 3.6 twist factor. This experiment was conducted at Egyptian & International Cotton Classification Center (EICCC) in Cotton Research Institute (CRI), Agricultural Research Center (ARC), Giza, Egypt. Using traditional statistical analysis (normal probability distribution) with untraditional method (assumed probability distribution) illustrated that; It was remarkably increased upper half mean length,mean length, uniformity index, fiber strength, micronaire reading, maturity and linear density with increase of the percentage of the highest grade in the mixing for each studied variety. Meanwhile short fiber content showed the opposite trend, whereas, elongation had no obvious trend. Prominent improvement in yarn strength was observed when the highest lint cotton grade percentage increased from 30% through 40% and 50% in the mixing lots. Yarn strength increased from 2690 to 3170, from 2475 to 2850, from 2440 to 2845 and from 2135 to 2360 for Giza 92, Giza 86, Giza 94 and Giza 95, respectively. Generally, mixing method based on lint grades exhibited significant improvement in fiber and yarn quality properties. In the same time this method is easier than the experimental mixing methods based on micronaire reading or fiber strength. on the other hand, it is very important process in cotton production economy.