Correlation studies in elite lines of upland cotton (Gossypium hirsutum L.) (original) (raw)
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Correlation and regression studies of cultivars of Gossypium hirsutum L., were analysed for quantitative characters. Results revealed that highly significant positive correlation (r=0.567) was displayed by sympodial branches with seed cotton yield, which showed that seed cotton yield was greatly influenced by sympodial branches. The coefficient of determination (r 2 =0.321) revealed 32.1% variation in the seed cotton yield per plant, due to its relationship with sympodial branches per plant. Regression coefficient (b=5.66) showed that a unit increase in sympodial branches per plant resulted into a proportional increase of 5.66 gms in seed cotton yield per plant, whereas bolls per plant exhibited strong positive association with seed cotton yield (r=0.959). The coefficient of determination (r 2 =0.92) revealed 92% of the total variation in seed cotton yield attributable to the variation in number of bolls per plant. The regression coefficient (b=3.37) indicated that for a unit increase in bolls per plant, there would be a proportional increase of 3.37 gms in seed cotton yield per plant. Boll weight displayed a highly significant positive correlation (r=0.597) with seed cotton yield per plant. The coefficient of determination (r2=0.356) determined that boll weight was responsible for 35.6% variation in seed cotton yield per plant. The regression coefficient (b=53.479) indicated that a unit increase in boll weight resulted into corresponding increase of 53.48 gms in seed cotton yield per plant. However, the plant height and monopodial branches per plant showed non significant association with the yield per plant.
Cotton Genomics and Genetics, 2015
The present research work was designed to estimate genotypic and phenotypic correlation coefficients and path analysis at the genotypic level between seed cotton yield and yield contributing traits in 18 cotton cultivars. The material was sown on 15 th of May to observe association among yield and its related traits. Heritability was estimated to determine the selection criteria under normal growing conditions. The values of phenotypic coefficient of variation (PCV%) were higher in magnitude than the genotypic coefficient of variation (GCV%) for all the traits. Heritability (broad sense) revealed higher estimates for all traits like plant height (98%), cotton leaf curl virus (CLCuV%) (96.8%), nodes to first fruiting branch (95%), bolls per plant (91.5%), sympodia per plant (88.8%), yield (88%) monopodia per plant (84.7%) and for boll weight (82.3%). The results of phenotypic and genotypic correlation showed that sympodia per plant showed positive significant correlation with boll per plant, boll weight and yield at both genotypic and phenotypic levels. Boll weight showed strong association with the yield at both levels. Path coefficient analysis revealed that all traits influenced directly and positively on yield except for bolls per plant. The traits showing strong association along with higher heritability may be considered for selection in future breeding endeavors.
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
2020
This experiment was carried out with 40 genotypes of cotton in randomized complete block design (RCBD) with three replications at Regional Agricultural Research Station, Lam, Guntur during kharif, 2019-20. Each plot consisted of one row of 6 m length and observations were recorded on five randomly selected plants from each genotype per replication for characters viz., plant height (cm), number of monopodia plant per plant, number of sympodia plan per plant, number of bolls plant per plant, boll weight (g), seed index (g), lint index (g) and seed cotton yield plant per plant (g). The characters viz., Days to 50% flowering, ginning out turn (%), 2.5% span length (mm), micronaire (10-6 g /inch), bundle strength (g/tex) and uniformity ratio were recorded on plot basis. Correlation and path coefficient analysis were worked out for 14 characters among 40 genotypes of upland cotton. Correlation studies revealed that plant height, number of sympodia per plant, number of bolls per plant and ...
Genetic variability exploration in upland cotton (Gossypium hirsutum L.) for yield and fiber traits
2023
This experiment aimed to investigate genetic variability among the all genotypes along with heritability presence, genetic advance per cent over mean, correlation studies and path coefficient carried out for 17 different characters in 16 genotypes, including sixty-four F1 hybrids, and one check G. Cot. Hy. 18 of upland cotton (Gossypium hirsutum L.). The trail was demonstrated during the Kharif season of 2022 at the Regional Research Station (RRS), Anand Agricultural University, India. Variability studies revealed high phenotypic coefficient of variation (PCV) and moderate genotypic coefficient of variation (GCV) for the number of bolls per plant, lint yield per plant and seed cotton yield per plant. Additionally, the number of monopodia per plant exhibited a high estimate of both PCV and GCV. Heritability analysis showed high heritability for various traits, including days to 50% flowering, days to 50% boll bursting, plant height, monopodia per plant, sympodia per plant, number of bolls per plant, boll weight, lint yield per plant, seed cotton yield, seed index, fiber strength, fiber fineness, and seed oil content. Moreover, days to 50% flowering, plant height, number of monopodia per plant, number of sympodia per plant, number of bolls per plant, boll weight, lint yield per plant, seed cotton yield, fiber fineness, and seed oil content demonstrated both high heritability and significant genetic advance as per cent over the mean. This stipulate significant attributing part of additive gene action in the heredity of these characteristics. During the correlation study, it was found that seed cotton yield per plant showed noteworthy positive correlations with several traits: the number of sympodia per plant (0.29), the number of bolls per plant (0.77), fiber length (0.26), uniformity index (0.37), and lint yield per plant (0.95). Path analysis revealed that seed index and ginning outturn had the highest positive and direct effects on seed cotton yield per plant.
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.
The experimental material for the present investigation comprised of 40 elite genotypes of upland cotton with one check (H 1098i). All the genotypes and checks were sown in the experimental area of the Cotton Section, Department of Genetics and Plant Breeding, Chaudhary Charan Singh Haryana Agricultural University, Hisar. Based on the mean performance genotypes viz., and H 1557 had high mean values for different yield and yield contributing traits. Analysis of variance revealed significant differences for all traits studied among the progenies. Moderate estimates of the genotypic coefficient of variation (GCV) and phenotypic coefficient of variation (PCV) were observed for seed cotton yield per plant, lint yield per plant, lint index and number of bolls per plant. High heritability coupled with high genetic advance as per cent of mean was recorded for seed cotton yield per plant, lint yield per plant, lint index and number of bolls per plant. The correlation studies reveal highly significant positive association of seed cotton yield per plant with all the important yield contributing traits. The path-coefficient analysis suggested the importance of lint yield per plant and seed index as they exhibited high positive direct effects on seed cotton yield per plant. Hence, selections based on the above characters will result in genotypes with high seed cotton yield.
Journal of agricultural research
A study was carried out at Cotton Research Institute, AARI, Faisalabad Pakistan during the year 2013 to determine the cause and effect of some morphological traits viz. number of leaves per plant, number of sympodial branches per plant, number of bolls per plant and plant height on seed yield per plant in upland cotton. Seventy two cotton genotypes at F5 generation were sown in a RCBD with three replications. The results indicated that number of leaves (0.2334), sympodial branches (0.4859) and number of bolls per plant (0.3722) had exerted positive and significant to highly significant correlation at genotypic level with seed cotton yield per plant. The data also revealed that number of leaves showed positive and highly significant correlation with sympodial branches (0.3427**) plant height (0.6924**) and bolls per plant (0.4238**). Number of leaves, bolls per plant and sympodial branches showed positive direct effect on seed-cotton yield per plant. Direct effect of sympodial branch...