Short Fiber Index Research Articles

Understanding fiber quality in field-grown shaded cotton: Nitrogen fertilization implications

ContextHigh nitrogen rates are important to field-grown cotton (Gossypium hirsutum L.) for recovering from stresses such as light restriction and alleviating its negative impact on yield. However, there is little information on its influence on fiber quality after shading. ObjectiveThe objective of this study was to examine fiber quality responses to nitrogen fertilization of shaded cotton. MethodsCotton plants were exposed to a 42 % reduction in global radiation for 16–25 days during early flowering, and fertilizer with different N rates in the Center-West (Primavera do Leste - PL and Chapadão do Sul - CS) and Southeast (Itapeva - IT) Brazil. Four N rates were used in PL and IT, and 3 N rates and an early (FM 906GLT) and a late-cycle (FM 983GLT) cotton cultivar were used in CS. Fiber quality from bolls taken from entire plots (nonportioned plants) and from the lower, middle, and upper thirds of the canopy (portioned plants) was assessed. ResultsThe lack of interaction in most analyses indicated shading and nitrogen effects on fiber quality as independent. Shading resulted in occasional effects on micronaire, strength, length, length uniformity, and short fiber index. Micronaire of nonportioned plants decreased in response to N inputs, wherein values at the maximum N rate were lower than those at the minimum one by 5.21 % and 7.91 % in PL and IT, respectively. Increasing N rates also decreased micronaire in all canopy portions in IT and the lower third in CS but had nonconclusive effects on other fiber properties. Fiber length and strength were generally greater in the late-maturing cultivar, which had higher micronaire readings in the lower third of the canopy and lower readings in the upper canopy compared with the early cultivar. ConclusionsIn conclusion, shading during early flowering has limited and inconsistent effects on cotton fiber quality. Conversely, N fertilization leads to more predictable results, so higher N rates increase the risk of heightened immature fiber percentage. ImplicationsThe findings of this work provide new insights into how nitrogen fertilization management affects cotton fiber quality. Future research should consider other management techniques, such as the timing of the crop termination, to avoid the occurrence of low micronaire.

Deciphering the fiber quality of Gossypium barbadense L. var. brasiliensis in La Convención, Cusco, Perú

BackgroundThe quality of cotton fiber determines its value in the textile market, influencing agricultural profitability and the efficiency of textile processing. The selection of genotypes with superior fibers is a key factor for genetic improvement programs seeking adaptability and sustainability in the face of climate change. This demonstrates the strategic importance of this plant for sustainable agriculture and the global textile industry. The objective of this research was to decipher the fiber quality of Gossypium barbadense var. brasiliensis in the native Amazonian communities of La Convención, Cusco-Perú, and to evaluate other critical aspects of native cotton that have not yet been identified. The methodology included non-probability sampling for accessibility, qualitative and quantitative analyses, and multivariate analyses. The fiber length (mm), micronaire index (maturity/fineness), fiber strength (gf/tex), length uniformity index (%), fiber elongation (%), maturation index (%), and short fiber index (%) were the fiber characteristics evaluated using the HVI method in cotton genotypes.ResultsCotton accessions collected from Koribeni (Gossypium spp.) and Shivankoreni (Gossypium barbadense var. brasiliensis) stood out for their fiber quality properties, especially length, strength, and uniformity, which highlights their relevance for advanced textile applications and potential for use in plant genetic improvement programs.ConclusionThese findings reinforce the need to conserve and study these native cotton accessions from the Peruvian Amazon region, which can offer promising perspectives for the textile industry and agricultural biodiversity.

Fiber Quality of Colored Cotton As a Function of Potassium Fertilization in the Semi-Arid Region

ABSTRACT Naturally colored fiber cotton is an essential alternative green and organic for the textile industry, as it does not require chemical dyeing. However, the low availability of potassium during production can directly affect the quality of the fiber. Based on this, this study aimed to evaluate the fiber quality in naturally colored cotton cultivars submitted to potassium fertilization in a semi-arid region. The experimental design was in randomized blocks, with four replications, and the treatments were arranged in split plots. In the plot, the following were allocated: five K rates (0, 60, 120, 180, and 240 kg ha−1 of K2O); and in the subplots, the four colored cotton cultivars (BRS Rubi, BRS Safira, BRS Topázio, and BRS Verde). The results showed that K is involved in the length, uniformity, short fiber index, micronaire index, and reliability index of naturally colored cotton fibers. A longer fiber length of 30.45 mm was obtained at a dose of 240 kg ha−1 of K2O for the cultivar BRS Topázio. In addition, a higher uniformity (84.95%) was achieved with the dose of 240 kg ha−1 of K2O for BRS Verde. The dose of 240 kg ha−1 of K2O reduced (8.62% and 11.28%) the short fiber index in the cultivars BRS Rubi and BRS Safira, respectively.

Analysis of the Impact of Environmental Temperature and Humidity on Cotton Fiber Quality During Initial Processing

ABSTRACT This study examines the impact of temperature and humidity on cotton fiber quality during initial processing. Conducted in a Xinjiang cotton ginning mill, we used the USTER HVI1000 to analyze five quality indices: upper half mean length, uniformity, short fiber index, tensile strength, and elongation. Results indicated that temperatures below 13°C increased fiber brittleness, moisture, and significantly reduced length and strength. Optimal conditions were observed at temperatures between 13°C to 20°C with normal humidity, where length and strength were maintained. Above 20°C, the dry environment led to a decrease in these indices. While higher temperatures and lower humidity helped remove impurities and lessen cotton knots, relative humidity below 45% increased static electricity and knots. Despite data limitations, this study moves towards identifying optimal temperature and humidity levels for improving cotton quality during initial processing, providing a theoretical foundation for future enhancements.

Improving cotton yield and fiber quality in different tropical soils with boron fertilization

AbstractCotton (Gossypium hirsutum L.) is responsive to boron (B) fertilization when there is low soil availability, but the best source and rate to be used and whether this response is dependent on soil texture are still unknown. This study aimed to adjust boron fertilization for cotton as a function of the production environment and B source used. Two field experiments were conducted in the 2020/2021 season in Chapadão do Sul, MS (clayey soil—adequate B content) and Dracena, SP (sandy soil—low B content), Brazil. Treatments consisted of B sources (ulexite [low solubility], borax pentahydrate [BP] [intermediate solubility], and boric acid [BA] [high solubility]), and B rates (0, 1, 2, 4, and 6 kg ha−1) applied to the soil at 25 days after plant emergence. In sandy soil with low B content, application of 2 (high and medium solubility sources) and 4 kg B ha−1 (low solubility source) improved fiber yield between 10% (210 kg ha−1 fiber) and 28% (555 kg ha−1), respectively, as well as micronaire index, strength, elongation, uniformity, and short fibers. Application of B greater than 4 kg ha−1 via soluble sources reduced (between 9% (175 kg ha−1)—BP and 14% (257 kg ha−1)—BA) fiber yield only in sandy soil. When B content in the soil is adequate, B fertilization did not improve yield, but increased fiber strength (4%—1.1 g tex−1) and reduced the short fiber index (16%) by applying 1 kg B ha−1, regardless of the source used. The highest fiber yields were obtained with leaf B contents between 12 and 17 mg kg−1 (sandy soil) and 25 and 27 mg kg−1 (clayey soil). We recommend applying 2 kg B ha−1 (solubility sources) and 4 kg B ha−1 (low solubility source) in sandy soils with low B content to improve yield and fiber quality, and 1 kg B ha−1 in clayey soil with adequate B content to improve fiber quality and replace B amounts removed through harvesting.

The synergistic effects of soil-applied boron and foliar-applied silicon on cotton fiber quality and yield

Studies of boron (B) and silicon (Si) synergy in cotton crops have shown promising results; however, the focus was on the foliar application of B and Si. Nonetheless, B is an element with little mobility in the plant and its best form of application is in the soil. Thus, the objective of this study was to evaluate the synergistic effect of soil applied B and foliar applied sSi on fiber quality and crop yield of cotton. For this purpose, a field experiment was carried out using cotton cultivar FM 985 GLTP. The soil’s B in the experimental site is classified as low for cotton cultivation. The experiment was conducted in a randomized complete-block design, in a 3 × 2 factorial scheme, with three doses of B: 0.0 kg ha−1 (deficiency), 2.0 kg ha−1 (recommended dose), and 4.0 kg ha−1 (high dose) in the absence and presence (920 g L−1) of Si, with four replications. One week after the 4th application of Si, B and Si leaf content was determined. At boll opening, crop yield was estimated, and fiber quality analysis was realized. Boron deficiency reduced cotton yield, in 11 and 9%, compared to the application of 2 and 4 kg ha−1 of B, respectively. The presence of Si, however, increased plant yield in 5% in the treatments with 0 and 2 kg ha−1 of B, respectively. Cotton fiber length and elongation were not influenced by the B doses and Si presence. Fiber breaking strength was increased in 5% by the presence of Si and was not influenced by B deficiency. Micronaire was 8% smaller in the treatment with 0 kg ha−1 of B and 6% smaller in the absence of Si. Short fiber index was 4% greater in the plants of the treatment with 0 kg ha−1 of B. The results of this study reports that the complementation with Si via foliar application increases fiber quality by enhance breaking strength and micronaire. In conclusion, the interaction between soil-applied B and foliar-applied Si is beneficial for cotton cultivation, resulting in high cotton yield with better fiber quality.

Genetic progress in seed and fiber quality traits of cotton in Argentina

Context:The Argentinian national cotton (Gossypium hirsutum L.) breeding program has demonstrated a 3.24 kg ha−1 y−1 genetic progress in lint yield from 1965 to date. Although previous studies have examined different trends in cotton lint yield, lint quality parameters, and other agronomic traits of cultivars over time, there have been no investigations in Argentina analyzing the genetic progress in the different components of technological fiber quality, cottonseed oil and protein composition. Objectives:(i) to estimate the genetic progress of the lint and seed quality parameters among cultivars released in Argentina since 1965, (ii) to evaluate the variation of genetic progress for the lint and seed quality parameters under different environmental conditions, and (iii) to determine the correlations between lint quality and lint yield traits. Method:This study was conducted over a two-year period, involving 20 cotton cultivars grown in four different environments (achieved through varying sowing dates) in Reconquista, Santa Fe, Argentina. Several fiber variables were evaluated, including upper half mean length (UHML), strength (Str), uniformity index (UI), micronaire (Mic), short fiber index (SFI), and spinning consistency index (SCI), as well as seed measurements, such as cottonseed oil content (Oil), protein content (Prot), and cottonseed oil fatty acid composition. Results:Significant differences were observed in all the quality parameters evaluated according to the environment and genotype, highlighting the importance of agronomic management in improving the different quality parameters. Oil content in the genotypes and years studied showed significant increases over time. Likewise, the maintenance of quality parameters despite the significant increases in lint yield and some of its components is considered a positive result for the Argentinian breeding program. Pearson correlation analysis showed that LY was positively correlated with UHML, UI, SCI, oil, and linoleic acid, whereas LY was negatively correlated with SFI, and both stearic and oleic acids. Conclusions:The data obtained from this study would serve as a basis for future research to explore the mechanisms responsible for altering or increasing both the fiber quality parameters and the concentrations of these by-products to improve cotton quality in Argentina.

Determination of Quality Value of Cotton Fiber Using Integrated Best-Worst Method-Revised Analytic Hierarchy Process

ABSTRACT Selection of cotton fibers in terms of their quality value has created a domain of emerging interest among the researchers. In this study, a newly developed Best-Worst Method (BWM) was integrated with Revised Analytic Hierarchy Process (RAHP) to rank cotton fiber lots on the basis of six apposite fiber properties namely fiber bundle tenacity, elongation, micronaire, upper half mean length, uniformity index, and short fiber index. Ranking performance of this integrated approach closely resembles those of the other multi-criteria decision-making (MCDM) approaches. No occurrence of rank reversal during the sensitivity analyses corroborates the stability and robustness of the BWM-RAHP method. Uniqueness of the present study lies in the fact that this is the maiden application of the vector-based BWM approach, that uses fewer pairwise comparisons than other variants of MCDM, in a cotton fiber grading problem. The RAHP adds value to the decision model by overcoming the problem of ranking inconsistency. Rank correlations between the ranking based on quality value of cotton and those based on yarn tenacity are also encouraging, and further bolster the efficacy of the BWM-RAHP method.

A research on productivity of newly created cotton varieties and evaluation of cotton fiber quality indicators

This article analyzes the productivity of early maturing and new cotton varieties grown in the country. The study was conducted on early ripening and cotton varieties grown in Jizzakh region. At that time, the highest yield was 37.1% in Bukhara-102 variety, and the lowest yield was 30.0% in Sultan variety. Yields in early maturing new varieties averaged 28.9%. The yield of Porloq-4 was 40.9%, and that of С-6779 was 23.0%. Yields of early maturing varieties averaged 33.3%. Porloq-4 and Bukhara-102 varieties have high indicators of early ripening and yield. Physico-mechanical performance of these cotton varieties was analyzed on the basis of HVI (High Volume Instrument) results. From the results we can see that the specific breaking strength of early maturing and new varieties Porloq-4 and Bukhara-102 in cotton fiber was 37.2%, the upper length was 35.5 mm. Then the specific tensile strength of Porloq-4 cotton fiber is 1.8% lower than the average tensile strength, and the upper average length is 5.1 mm higher. The specific tensile strength of Bukhara-102 fiber is 1.9% higher than the average tensile strength, the average length is 5.3 mm less. The short fiber index averaged 7.5% and the elongation at break was 7.9% on average. The short fiber index of the Porloq-4 variety is 3% lower than the average short fiber index, and the elongation index at break is 1.6% higher than the average. We can see that the index of short fibers of Bukhara-102 fiber is 3% higher than the average, and the elongation at break is 1.5% lower than the average.

Effect of polyaspartic acid on soil water storage, soil microbial diversity, cotton yield and fiber quality

Water-saving is one of the most important problems in agricultural development, especially in arid and semi-arid areas. The effects of polyaspartic acid (PASP) on soil water storage, soil microbial community, soil physiochemical properties, cotton yield and fiber quality were studied to find water-saving material utilized in cotton field. The experiment was divided into two parts, the first part concerned the direct application of three different amounts of PASP under field conditions. In the second part, PASP was mixed with soil in different proportions and the mixtures were put into bottles, which were then buried in the cotton field. The application of PASP improved the water-holding capacity and thus increased water content available to the cotton root system in the cotton field for a long time, and significantly (p < 0.05) increased the content of soil organic matter, available P and ammonium-N. Relative abundances of Methylophaga, Sphingomonas, Cupriavidus, Pseudeurotium, Fusarium and Nectria were significantly affected by applying PASP. Compared to the control group, 15, 75 and 150kgha-1 of PASP increased seed cotton yield by 3.94, 8.31 and 7.71%, respectively. The application of PASP also increased the reflectance degree, Micronaire and short fiber index of cotton. These results suggested that 75kgha-1 of PASP can be appropriate to alleviate drought stress in arid and semi-arid areas.

The Effect of Application of Different Doses of Acid Mixture Seed Coating Method on Cotton (Gossypium hirsutum L.) Yield and Fiber Technological Characteristics

This study was carried out to determine the effects of different rates of seed coating of an organic acid mixture (citric acid, glutamate, and proline) on the yield and technological characteristics of cotton (Gossypium hirsutum L.). Before seeding, cotton seeds were coated with an organic acid mixture product [0.75% citric acid, 0.25% glutamate, 0.25% proline, and 98.75 inert ingredients (water)], in six different doses (500, 1000, 1500, 2000, and 2500 cc) to compare with control (uncoated). Seed cotton yield, fiber yield, plant height, number of monopodial branches, number of sympodial branches, number of nodes of the first fruiting branch, number of bolls per plant, boll weight, boll seed cotton weight, first picking percentage, 100 seeds weight, fiber fineness, fiber length, fiber strength, fiber elongation, fiber uniformity ratio, short fiber index, fiber yellowness (+ b), fiber reflectance (Rd) and spinning consistency index (SCI) values were examined. The results of statistical analysis indicated that there were significant differences between treatments in terms of seed cotton yield, fiber yield, boll weight, boll seed cotton weight, first picking percentage, and the number of nodes of the first fruiting branch, while there was a non-significant association in terms of other examined observations and fiber technological characteristics. The highest seed cotton yield was obtained from 1500 cc application doses as 5073.80 kg ha-1 which was 19,78% (838.00 kg ha-1) higher than that of the control (4235.80 kg ha-1). In conclusion in light of the information obtained from this study, a remarkable increase in yield was obtained as a result of coating the cotton seeds with the product containing organic acid mixtures (citric acid, glutamate, and proline) at different doses. For this reason, it was concluded that it may be recommended to cover the seeds with the aforementioned mixtures before sowing.

Genetic Studies in Different F2 Segregating Population for Yield and Fiber Quality Traits in Cotton (Gossypium hirsutum L.)

The present research was conducted to assess six F2 population and their six parents for various yield and fiber contributing attributes. F2 segregating population have more variability with a greater adaptation against stress. Analysis of variance results indicated that genotypes for all traits were significant except number of monopodial branches and total nodes per plant. The highest value of heritability was calculated for seed cotton yield, while the lowest value was observed for the first fruiting branch node. Correlation matrix for overall F2 populations along with their parents manifested that yield was significantly and positively associated with plant height, height to node ratio, first fruiting branch node, total bolls per plant, ginning out turn %, lint index and short fiber index. Path analysis results showed that yield was directly and positively influenced by number of sympodial branches per plant, height to node ratio, total bolls per plant, seed index, fiber uniformity, short fiber index, micronaire value and fiber strength. The variety Mubarak showed maximum mean values for yield contributing and fiber related trait like sympodial branches, boll weight, GOT% and lint index, BS80 for bolls per plant and seed cotton yield, CM595 for seeds per boll, fiber strength and fiber length and FH142 for fiber uniformity. F2 cross combination MNH886×Mubarak followed by CM595×MNH886 showed maximum value of ranges for the different attributes and succeeding generations of these two populations may be used for selection of potential genotypes for development of high yielding varieties.

Genotype selection for fiber quality traits in cotton in the Brazilian Northeast

AbstractThe search for cotton (Gossypium hirsutum L.) genotypes gathering high yield and fiber quality is the main objective of breeding programs. The objectives of this study were: (a) to verify which effects contribute the largest fraction of the total phenotypic variance of cotton fiber quality traits and (b) to recommend the best genotypes for these traits. Eight competition trials of cotton cultivars were carried out between the 2017 and 2019 seasons. Field trials were carried out in Alagoinha (crops seasons 2017, 2018, and 2019) and Barbalha (2017 and 2018) in a randomized block design with three repetitions. Fifteen genotypes developed by the cotton plant breeding program of Embrapa Algodão were evaluated. The following fiber quality traits were evaluated: fiber percentage (FP), average boll weight (BW), upper‐half mean length, fiber uniformity (UNIF), short fiber index (SFI), fiber strength (STR), elongation (ELG), micronaire (MIC), and fiber maturity. Genotypic values (GVs) for the evaluated traits were estimated. The total phenotypic variance of the fiber quality traits evaluated is mostly composed of genotypic effects. Only the traits FP, BW, and ELG showed significant genotypes × sites interaction. The genotype G1 has high GVs for the traits FP, BW, fiber length, and fiber uniformity. The G15 stood out by gathering high values for UNIF, SFI, and STR.

Biochemical and Associated Agronomic Traits in Gossypium hirsutum L. under High Temperature Stress

Heat tolerance is a physiologically and genetically complex trait regulated by multiple genes. To investigate the genetic basis of heat tolerance, eight parents (five lines and three testers) and their fifteen F1 hybrids were evaluated under normal and high-temperature stress conditions for two consecutive years. Data were recorded for plant height, number of bolls, boll weight, seed cotton yield, ginning out turn (GOT%), H2O2, catalase, peroxidase, super-oxidase dismutase, total soluble proteins, carotenoids, chlorophyll a &amp; b contents, short fiber index, fiber strength, UHML, micronaire value, reflectance, and uniformity index. Line × tester analysis suggested that the contribution of lines was higher than testers. Non-additive gene action was observed for all studied traits. The variances of SCA were greater than GCA variances for all studied traits revealed that these traits were governed by a few largely dominant genes. Fb-Shaheen, Eagle-2 and JSQ White Gold were found good general combiner whereas the cross Fb-Shaheen × JSQ White Gold was a good specific combiner and revealed significant better parent heterosis for most of the traits during two years under normal and high temperature stress conditions. The information obtained could be utilized in a breeding program for the development of new synthetic varieties of heat tolerance.

Genotype selection based on multiple traits in cotton crops: The application of genotype by yield*trait biplot

In cotton crops, the cotton seed yield significantly contributes with the success of any cultivar. However, other traits are considered when an ideotype is pointed out in the selection, such as the fiber quality traits. The aim of this study was to applied genotype by yield*trait (GYT) biplot to a multi-environment trial data of cotton genotypes and selected the best genotypes. For this end, thirteen genotypes from nineteen trials were assessed. Seven traits were evaluated [cotton seed yield (SY), fiber percentage (FP), fiber length (FL), fiber uniformity (FU), short fiber index (SFI), fiber strength (FS), and elongation (EL)] and residual error variances structures [identity variance (IDV) and diagonal (Diag)] were tested by bayesian information criterion. After, the REML/BLUP approach was applied to predict the genetic values of each trait and the selective accuracy were measured from the prediction. Then, the GYT-biplot were applied to the data. For SP and SFI traits, the model with Diag residual variance was indicated, whereas for SY FL, FU, FS, and EL traits the model with IDV residual variance demonstrated the best fit to the data. Values of accuracy were higher than 0.9 for all traits analyzed. In the GYT-biplot acute angles were find for all traits relations, which means high correlation between the yield*traits combination. Besides that, the correlation still can be seen in the GYT-biplot, as shown by the magnitudes of the angles between the pairs Yield*FU-Yield*FS and Yield*FS-Yield*EL. Also, the GYT-biplot indicates the genotype G4 with the best performance for Yield*FS, Yield*SFI, Yield*FU, Yield*FL, and Yield*FP combined. The genotypes G4, G1, G13, G8, and G9 represent those genotypes with yield advantage over the other cultivars. Then, the genotype G4 combines all desirable characteristics and demonstrate have large potential in the cotton breeding. The GYT approach were valuable and were highly recommended in cotton breeding programs for selection purpose in a multivariate scenario.

The Accuracy of FIBROTEST for cotton fiber length and strength measurements study sensitivity of cotton fiber instrument (CCS)

For investigation of the accuracy of FIBROTEST used two categories of standard calibration cotton, long/strong and short/weak. The present study was carried out at Cotton Research Institute (CRI), Agricultural Research Center (ARC), Giza, Egypt.Before carrying out the tests, the cotton samples were incubated in the BINDER equipment for two days to reach the standard conditions for the tests. The measurements that were analyzed are: length measurements properties, i.e.,upper half mean, upper half mean relative to HVI, 50% span length, 2.5% span length, mean length,uniformity index, uniformity index relative to HVI, short fiber content and short fiber index, and strength properties,i.e., absolute strength, strength relative to HVI, elongation, bundleweight, linear density, force, work and time atbreak. Results indicated that fiber length and strength measurements showed few differences for long / strong and short / weak cotton.The values of these measurements were distributed symmetrically with low skewness and kurtosis.The FIBROTEST gave values for UHM, UI and strength very close to their actual values.It can be admitted that this device is accurate in measuring, but to ensure this is achieved, especially for fiber strength, it is necessary to test a large number of subsamples.Since linear density is the actual effect of fiber strength, so to avoid this, emphasis is placed on linear density to achieve a more accurate measure of strength. The most suitable linear density for the long / strong cotton was 1723 and for the short / weak was 1274.To obtain a specific and repeated amount of linear density to achieve an accurate measurement of strength, the Fibro-sampler has to be considered in any development or modernization of the FIBROTEST device.

Pyramiding novel EMS-generated mutant alleles to improve fiber quality components of elite upland cotton germplasm

Improvement of cotton (Gossypium hirsutum L.) fiber quality, hampered by historical genetic bottlenecks, may benefit from the use of chemical induced mutants that are largely free of linked unfavorable alleles often associated with the use of secondary and tertiary Gossypium gene pools. Two population were developed by intercrossing seven mutant lines with improved fiber quality, one (population R) focused on improving four fiber attributes (micronaire, length, strength and elongation) and the other (population S) to pyramid superior alleles for fiber length. The overall average of both populations was significantly improved for micronaire (lower), fiber length, fiber strength, uniformity and short fiber index compared with parental lines, with 39 lines in population R and 71 in population S showing significant improvement for four or more traits. Multiple lines in these populations showed improvement for all six fiber traits tested. Fiber length of populations S and R was significantly higher than the original (non-mutated) parents (ACALA1517-99 and TAM94L25), local elite germplasm (GA230) and other commercial checks (DeltaPine 393 and Fiber Max 832). As expected, average fiber length of population S was significantly higher by 4.2% than population R. Surprisingly, population S was also significantly better than population R in micronaire, fiber strength, uniformity and short fiber content, adding further support to hypotheses about the complex nature of cotton fiber quantitative trait loci and the corollary that selection for one fiber quality trait may also increase values of other traits. New allele combinations from these mutant lines show promise for improving fiber qualities beyond the levels of current elite varieties.

Genetic diversity among colored cotton genotypes to obtain potential parent plants

The objective of this study was to analyze the genetic diversity among colored cotton fiber genotypes using technological characteristics of the fiber, seed cotton yield and percentage of fiber, to identify potential parents with high performance. The experiment was conducted in the Brazilian city of Uberlândia, Minas Gerais, during the 2016/2017 harvest. Twelve colored fiber genotypes were used in a randomized block design. The characteristics that were evaluated included micronaire, maturation, fiber length, length uniformity, short fiber index, fiber resistance, elongation, seed cotton yield and percentage of fiber. Genetic divergence was estimated using the Mahalanobis generalized matrix with Unweighted Pair Group with Arithmetic Mean (UPGMA) and the Tocher method. The Singh method was used to evaluate the relative contributions of the characteristics in the divergence. In detecting divergence, fiber length and maturation were observed to have contributed the most. In order to obtain segregant populations with greater genetic variability and greater productive potential, hybridizations between UFUJP-17 and UFUJP-16 with commercial cultivars could be promising. Crossing UFUJP-16 with commercial controls would have a higher chance of success of producing superior fiber quality.

Genetic Studies in Different F2 Segregating Population for Yield and Fiber Quality Traits in Cotton (Gossypium hirsutum L.)

Present research was conducted for assessment of six F2 populations and their parents for various yield and fiber contributing attributes. F2 segregating population have more variability with a greater adaptation against stress. F2 generation provide more chance of selection for the improvement of genotypes because every plant is different from another plant. Analysis of variance results indicated that genotypes for all traits were significant except number of monopodial branches and total nodes per plant. Highest value of heritability was calculated for seed cotton yield while lowest value was observed for first fruiting branch node. Correlation matrix for overall F2 populations along with their parents manifested that yield was significantly and positively associated with plant height, height to node ratio, first fruiting branch node, total bolls per plant, ginning out turn %, lint index and short fiber index. Path analysis results showed that yield was directly and positively influenced by number of sympodial branches per plant, height to node ratio, total bolls per plant, seed index, fiber uniformity, short fiber index, micronaire value and fiber strength. The variety Mubarak showed maximum mean values for yield contributing and fiber related trait like sympodial branches, boll weight, GOT% and lint index, BS80 for bolls per plant and seed cotton yield, CM595 for seeds per boll, fiber strength and fiber length and FH142 for fiber uniformity. F2 cross combination MNH886×Mubarak followed by CM595×MNH886 showed maximum value of ranges for the different attributes and succeeding generations of these two populations may be used for selection of potential genotypes for development of high yielding varieties.

Comparison Of Yield and Fiber Properties by Correlation, Biplot and Cluster Analysis in Some Cotton (Gossypium Hirsutum L.) Hybrids

Cotton is the most important fiber crop. Seed cotton yield, ginning outturn, lint yield, some fiber quality parameters and adaptation capability of eleven hybrid (F5-6) cotton genotype were assessed in this study at Antalya/Türkiye conditions. The study was conducted in a randomized block design with three replications in 2017 and 2018. The level and significance of the relationships between genotype-traits and traits were determined by correlation, biplot and cluster analysis. Resulting, hybrid lines which 1102 for seed cotton yield and fiber yield, 1008 for seed cotton yield, ginning outturn and fiber yield, 1019 and 1103 for all the characters and Gloria cultivar for fiber parameters were significant. In addition, hybrids which line 1115 for seed cotton yield, fiber yield, spinning consistency index and fiber maturity, lines 1005, 1006, 1101, 1102, 1105 and Sure Grow 125 cultivar were found insignificant due to their high short fiber content. The fiber yield showed significant and positive correlation with seed cotton yield, ginning outturn, fiber maturity and fiber fineness, which were not affected by the year difference. The spinning consistency index determined by the combination of a plurality of fiber properties, it has always been found to have very important and positive correlation with fiber length, fiber strength and fiber uniformity index, negligible but positive with ginning outturn, whereas short fiber index was always significantly and negatively correlated.