Within-bale variability study on cotton produced in Africa (original) (raw)
Related papers
The present study was conducted to define the best combination of quality properties which would reliably indicate the technological value of each cotton variety. Several cotton varieties which are widely grown in each of Ethiopia, India and Egypt were used as a material in this study. Those varieties provided a wide range of diversity in fiber quality properties. The concerned fiber properties were measured on the High Volume Instrument (HVI). Four different combinations of fiber properties were determined to evaluate the technological values of the different cotton varieties in each of the 3 countries involved in the study. Those combinations were the Spinning Consistency Index (SCI), the Fiber Quality Index (FQI), the Multiplicative analytic hierarchy process (MI AHP-H) and the Multiplicative analytic hierarchy process (MI AHP-M). The results of the study revealed that rankings of the cotton varieties within each of the Ethiopia Indian and Egyptian types using the 4 fiber quality combinations were not the same. This finding is expected since the fiber properties of each combination differed from one combination to another. Generally, the highest technological value of the different varieties would be attained from a greater positive contributor along with the least negative contributor. The technological values of the different cotton varieties depended on the superiority of the quality attributes used in the formulation of each quantification method employed in the study.
Complex Characterization of Cotton Fiber Quality
There exists a plenty of standard and HVI techniques for characterization of cotton fibers. It is known that there are some differences in the principles of measurements and the results of AFIS and HVI spectrum apparatus. The differences exist between measurements of fiber strengths based on the bundles concept or single fiber concept as well. Despite of these differences it is possible to specify basic cotton fiber properties having potential influence to the cotton quality or spinning ability. The main problem with utilization of these properties for quality characterization is multivariate character of information, various units and lack of proper aggregation to utility scale. According to the general definition, the quality is characterized by several properties expressing the ability of a product to fulfill functions it was designed for. The degree of quality (complex criterion) is often expressed as cotton quality index U. The method for complex evaluation of cotton fiber performance based on this idea is presented. The results of HVI measurements are used as input data. The other empirical complex characteristic of cotton fiber quality is computed as well. The program QCOTTON written in MATLAB is briefly mentioned. The comparison of selected complex criteria is demonstrated on the real data of results of the crop study of 1997 and 1998, which includes 33 sets of cottons.
Statistical parameters of cotton short fibers
Various statistical parameters of cotton fiber length distributions were calculated from AFIS (Advanced Fiber Information System) test data of 21 cottons of different varieties and growth locations. The results show that the SFC (short fiber content) defined by 0.5 inches is a good indicator of short fibers in a sample based on the high correlation coefficients with short fiber content values defined by other lengths such as 0.4 or 0.6 inches. However, the measured short fiber content has very high variation, as high as 6.8 times the CV% of UHML (Upper Half Mean Length). The high variation of SFC is one of the major problems hindering its use in the cotton classing system. The LHML (Lower Half Mean Length), a new parameter of short fibers is introduced in this study. The results show that the LHML has very high correlation coefficient with short fiber content, but much lower variation, only 1/3 of the CV% (Coefficient Variance) of the SFC. Therefore, the LHML is a good candidate for substituting the short fiber content. The uniformity index that is used in the U.S classing system correlates to the SFC, but the Upper Half Mean Length has very low correlation with the SFC.
IOSR journal of engineering, 2017
Cotton is cultivated primarily for its boll fibre and little use is made of the cotton stalk. The cotton stalks are breeding ground for pests therefore the stalks are normally burnt in the field creating air pollution. Cotton stalks were collected from farms through random sampling and subjected to natural water retting and there after mechanical decortication and categorised according to their location relative to the stalk as top section, middle section and bottom section fibres. The physical properties of the cotton stalk fibres was characterised by tensile strength, moisture regain, linear density, diameter and fibre length tests. These results were analysed using one way multivariate analysis (MANOVA) in SPSS with three levels being one for each section of the stalks to test the statistical significance of the differences of the fibre properties from different sections of the cotton stalk. Pillais trace test showed that there was statistical significant difference between fibres from different locations when considered jointly on the variables tensile strength, elongation, fibre density, fibre diameter, fibre length, linear density and moisture regain. This test was followed up by Tuskey's HSD post hoc test which showed which parameters varied between which sections of the stalk.
2011
The colored areas under graph are used to evaluate the behavior of the Egyptian genotypes under different locations and comparing its results with classic statistical method. The Egyptian cotton cultivars, namely, Giza 80, Giza 90 and the H6 genotype (G83x(G75x5844))xG80 were grown at four different locations at upper Egypt, namely; El-fayoum, El-menia , Sohag, and El-matana . While, the Egyptian cotton cultivars, namely, Giza 88, Giza 92 and H10 genotype (G84x (G70xG51b)x pima62) were grown at four different locations at delta, namely; El - dkahlia , kafr El-sheikh, el-Behira and Damietta . The Experimental design was a randomized complete block design with four replications. The Upper Egypt genotypes gave their best fiber quality under Loc 4 except for, the H6 genotype gave the best fiber quality under Loc 3 . However, all the genotypes couldn't adapted to the weather conditions of the first locations . In contrast , the first location exhibited the highest fiber properties fo...
Relationship between Yield, Fiber Length and other Fiber-Related Traits in Advanced Cotton Strains
Not. Bot. Hort. …, 2010
The objective of this study was to determine the relationship between yield, fiber length and other fiber related traits in advanced cotton strains, derived from a cotton breeding program. The experiments were conducted in the Southeastern Anatolia Agricultural Research Institute's experimental area according to randomized complete block design (RCBD) with four replications during 2007 and 2008 cotton growing season. In the study, 9 advanced cotton strains and 2 check varieties ('GW-Teks' and 'Stoneville 468') were used as plant materials. The results of the statistical analysis indicated that the advanced cotton strains had significant differences in terms of the investigated characteristics when compared to the check varieties. The highest seed cotton yield (4087.0 kg ha-1) and fiber yield (1632.2 kg ha-1) were obtained from 'SET-34' cotton strain which had acceptable fiber quality properties. However, the highest fiber length (32.33 mm) was obtained from 'ERA-85'. The correlation analysis indicated that there were significant negative correlations between fiber length and seed cotton yield, lint yield and ginning percentage, while there were positive and significant correlations between fiber length and fiber strength.
2020
This study was carried out to determine yield, yield components, and fiber quality characteristics of some modern cotton varieties and also to find out their improvement compared to control varieties in terms of investigated traits in the 2015 and 2017 cotton growing season. In the study, 10 genotypes (8 modern cotton varieties which registered after 2010 and two check varieties) were used as plant materials. There were significant differences between varieties in terms of first picking percentage, ginning percentage, plant height, date of first flowering, number of the node to first fruiting branch, number of monopodial branches, boll weight, seed cotton weight, number of seeds per boll, fiber fineness, length, strength, elongation, and uniformity, while non-significant differences were obtained for seed cotton yield, number of sympodial branches, number of boll per plant and short fiber index. Besides, year differences were significant for seed cotton yield, first picking percenta...
Measurement of Cotton Fineness and Maturity by Different Methods
Different measurement principles are used in measurement systems. There are some new systems which are not commonly used in cotton fiber assessment, like Siromat and Cot-tonScan by CSIRO or ITRU UAK-1+. The method of cotton fineness assessment by Cot-tonScan is based on a direct method of measuring the total length of a known mass of fiber snippets to directly calculate the mass per unit length (fineness). The SiroMat™ instrument determines a fiber's maturity based on fiber colors when viewed under a polarised light microscope. The relationship between the interference colours assumed by fibers under the crossed polarised light beams and fiber maturity is based upon the orientation of cel-lulose chains in the fiber wall, which affect the path length of light through the wall. This method (not automated) has been used for many years by GOST (now an Uzbeck standard) and ASTM. The ITRU Fiber Tester UAK-1+ operates on the basis of the computer image analysis principle. To determine ...
A Comparison of Methods for Measuring the Short Fiber Content of Cotton
Twenty-nine bales of cotton with short fiber content ranging from approximately 5% to 25% were selected for the purpose of comparing the effectiveness and relationships among the current testing methods for fiber length. The instruments and/or methods used to measure short fiber include HVI, AFIS, and Suter-Webb array. Comparisons between the three methods indicate that they correlate well with each other. The Suter-Webb array technique gives higher estimates of short fiber content than those of HVI and AFIS, and shows greater discrimination among the samples. Highly significant regression models were developed to predict short fiber content from long fiber data (length and strength) and micronaire.