Association analysis among agronomic and fiber quality traits in color-cotton (Gossypium hirsutum) (original) (raw)
Related papers
Evaluation of Brown Coloured Cotton Genotypes by Genetic Studies (Gossypium hirsutum L.)
International Journal of Current Microbiology and Applied Sciences, 2020
The present study was conducted on genetic variability, correlation coefficient analysis for seed cotton yield and its component traits in 18 brown coloured cotton genotypes collected from CICR, Nagpur, which was carried out during kharif2018 at the Main Agricultural Research Station, UAS, Raichur, Karnataka. Observations on traits viz., plant height at harvest, number of sympodia, number of monopodia, sympodial length at ground level, sympodial length at 50% plant height, number of bolls per plant, lint index, boll weight, internodal distance, seed index, seed cotton yield per plant, ginning out turn, fibre length, fibre strength and micronaire were recorded. The results showed that highest GCV for number of monopoodia per plant and sympodial length at 50% plant height. Highest heritability was observed for number of sympodia, plant height, fibre length ginning out turn and seed index. Plant height at harvest, number of monopodia per plant, number of sympodia per plant, sympodial length at ground level, intermodal distance were positively correlated with seed cotton yield and the traits viz., seed index and fibre length exhibited negative correlation.
Agricultural Reviews, Volume 45 Issue 4 (D 2024) : 745-747, 2024
Background: Cotton is globally important crop valued for its single cell trichome called fibre. Cotton fibre is popularly called as white gold or king of fibre crops. Cotton fibre or seed cotton yield per plant is the economically important traits which is dependent other yield attributing traits and also influenced by the fibre quality traits. So present study was focused on the association of yield and yield attributing and fibre quality traits. Methods: An experiment was conducted at College of Agriculture, Vijayapur campus during late kharif season during 2020-21 to evaluate 145 advanced breeding lines of desi cotton along with checks using augmented design in 7 blocks for yield and yield attributing traits. The material used in the study was developed by College of agriculture, Dharwad at Department of Genetics and Plant Breeding. Correlation and path coefficient analysis was conducted for twelve yield and fibre quality traits. Result: Significant positive correlation of seed cotton yield per plant with boll weight, number of bolls per plant, ginning outturn and fibre fineness was reported, whereas negative significant correlation was reported by days to 50% flowering with seed cotton yield per plant. Path analysis revealed that highest positive direct effect on seed cotton yield per plant was shown by number of bolls per plant followed by boll weight and highest negative direct effect was shown by fibre fineness. Highest indirect effect on seed cotton yield per plant was contributed by. ginning outturn. The traits that are significantly positively correlated and having positive effect on seed cotton yield play a major role in the selection of high yielding seed cotton genotypes.
Journal of Crop Science and Biotechnology, 2012
Cotton is an important commercial and natural fibre crop of global importance and generates high employment at various stages, hence it is commonly 'White Gold'. Cotton has made significant contributions to the Indian economy in terms of both employment generation and foreign exchange. Globally, India ranks first in cotton area but occupies second position in production, next to China. Cotton is often a cross pollinated crop in which a large amount of variation is observed for many important traits. Seed cotton yield and fibre quality are controlled by polygenes and highly influenced by the environment. Hence, selection merely based on yield is not effective. In order to enhance the yield potential of the cotton varieties, an understanding of the relationship among different characters is of more importance (McCarty et al. 2008). An idea of the extent of association between yield components and fibre quality traits conferring seed cotton yield would be very helpful to decide the traits to be given importance in selection for high yield. Correlation coefficient analysis measures the magnitude of relationship between various plant characters and determines the component character on which selection can be based for improvement in seed cotton yield and fibre quality. When more characters are involved in the correlation study, it becomes difficult to ascertain the characters which really contribute towards yield (Basbag and Gencer 2007). Path
Journal of Pharmacognosy and Phytochemistry, 2018
Ninety six cotton germplasm collections were evaluated for genetic variability, heritability and genetic advance for fifteen quantitative traits during Kharif 2017 at Main Agricultural Research Station, Raichur. Analysis of variance revealed significant differences for all the quantitative traits under study except Upper Half Mean Length (UHML), micronaire and seed cotton yield per plant. A wide range was observed for plant height, number of sympodia per plant, sympodial length at ground level, number of bolls per plant, ginning outturn and seed cotton yield per plant. High GCV and PCV were recorded for traits viz., number of monopodia, sympodial length at ground level, sympodial length at fifty per cent of plant height and number of bolls per plant. High heritability coupled with high genetic advance as per cent of mean was observed for all the traits which indicated that selection could be effective for improvement in these traits except for fibre quality characters, ginning outtu...
Journal of Plant Production, 2023
This study was conducted at Sakha Agricultural Research Station, Cotton Research Institute, Agricultural Research Center, Kafr El-Sheikh Governorate, Egypt, during two growing seasons (2021 and 2022). Six Egyptian cotton varieties were used as lines with five genotypes as testers, using line x tester analysis. Genotypes, parents, crosses and parents vs. crosses mean squares were extremely significant for all the studied characters, except for micronaire reading in the crosses. Giza 94 x 10229 exhibited significant useful heterosis (BP) for all the studied characters. Lines Giza 86 and Giza 76 recorded significantly and positive desirable general combining ability effects (GCA) for most traits while, Giza 96 was significant desirable general combining ability effects for fiber quality characters. In this respect, testers showed that Uzbekistan had significant and positive desirable for most yield characters while, BBB had significant desirable general combining ability effects for most studied characters. Crosses Giza 96 x Australy13, Giza 86 x 10229 and Giza 75 x C.B.58 were significant desirable specific combining ability effects (SCA) for some yield traits. Generally, Giza 86 could be used for improving high yielding cotton varieties in plant breeding programs, while Giza 96 considered as beneficial parent for breeding programs to produce new varieties characterized with best fiber quality.
2021
The present Investigation was carried out to study the correlation, path coefficient and D analysis in American cotton. The material was evaluated in a Randomized Block Design (RBD) with three replications during kharif 2019. In this experiment association analysis revealed significant positive correlation for seed cotton yield per plant with number of bolls per plant. The path analysis revealed that the days to boll opening, number of bolls per plant, boll weight, ginning percentage, and 2.5% span length and fibre fineness exhibited high direct effect on seed cotton yield per plant. D analysis indicated wider genetic diversity among fifty genotypes of cotton which were grouped into twelve clusters. Maximum genetic divergence was observed between cluster XI and cluster XII followed by cluster VI and cluster XII.
Correlation Analysis of Yield and Fiber Traits in Upland Cotton ( Gossypium hirsutum L . )
2016
An experiment was carried out in a Randomized Complete Block Design with four replications and eight varieties viz. FH-114, CRIS-134, NIA Ufaq, Sohni, NIAB-777, Reshmi, Chandi and Shahbaz of upland cotton at experimental field of Nuclear Institute of Agriculture, Tandojam, during the year 2013, for assessing the correlation between yield and fiber traits in upland cotton genotypes. The observations were recorded on ginning outturn (%), staple length (mm) and micronaire value (μg/inch). Significantly maximum ginning outturn (39.27), staple length (30.37) and fiber fineness (3.95) was recorded by variety Reshmi. Correlation studies were analyzed for ginning outturn (%), staple length (mm), micronaire value (μg/inch). Results revealed that staple length was positive significantly associated with plant height, monopodial, ginning outturn which indicated that these qualitative characters can be used as reliable selection criteria to improve qualitative value of cotton.
Genetics of fibre quality traits in cotton (Gossypium hirsutum L.)
2008
Five upland cotton varieties were crossed in a complete diallel mating system to assess the genetics of fibre length (FL), fibre strength (FS), fibre fineness (FF), fibre uniformity (FU) and fibre elongation (FE) utilizing Mather and Jinks approach. Differences were found to be significant (P<0.01) for all the characters. Adequacy tests revealed that data of all the characters were partially adequate for genetic interpretation except FE. Additive component (D) was significant in all the traits and was lower in magnitude than dominant components (H1 and H2) of variation for FS and FU which was firmly supported by the value of H1/D 0.5. Dominant genes were in excess than recessive genes in the parents for all the traits except for FF. Asymmetrical distribution of dominant and recessive genes in parents for all characters was confirmed, and soundly sustained by the value of H 2 /4H 1. The h 2 value was insignificant for all the characters except FS. Moderately high narrow sense heritability (h 2 n.s) was exhibited by FF, FU and FE, while SL and FS possessed low heritability. Graphical representation demonstrated additive gene action for SL, FF, and FE whereas; FS and FU were controlled by overdominance effects. Full sib or half sib family selection, pedigree and progeny test would probably be necessary to achieve the genetic progress for SL, FF, and FE while hetrosis breeding could be fruitful for improvement of FS and FU.
MULTIVARIATE AND GENETIC COMPONENT ANALYSIS OF NEW COTTON (GOSSYPIUM HIRSUTUM L.) GENOTYPES
Five cotton genotypes viz. SR- 015, SR-016, SR-017, SR-018 and SR-019 and one standard cotton variety i.e. CB-12 were studied for correlation coefficients, regression and path analysis, genetic and environmental variability, broad sense heritability, seed cotton yield and yield contributing traits at Cotton Research, Training and Seed Multiplication Farm, Sreepur, Gazipur during Kharif 2012-13 growing period. Significant differences were observed for number of vegetative branch, number of fruiting branch, boll number, single boll weight and seed cotton yield. Positive correlations between seed cotton yield and number of vegetative branch, number of fruiting branch, number of boll and individual boll weight were found. The regression equation showed that the boll number per plant and the boll weight should be considered as target traits for improvement of cotton seed yield. Path analysis revealed that the highest direct and positive effect on seed cotton yield was exhibited by boll number per plant (1.25) followed by boll weight (0.81), and plant height (0.01) and the direct negative effect by number of fruiting branch (-0.05) and number of vegetative branch (-0.01). Genotypic covariance and phenotypic covariance were found to be the closest for fruiting branch (5.96 and 6.09) followed by boll number (5.97 and 6.29), number of vegetative branch (6.54 and 6.95), boll weight (3.95 and 4.21) and seed cotton yield (4.22 and 4.77) that consequently influenced the broad sense heritability’s in the range of 0.96 to 0.78. Successful selection can be made on these characteristics.