CORRELATION AND PATH COEFFICIENT ANALYSIS OF YIELD COMPONENT AND FIBER QUALITY TRAITS OF UPLAND COTTON (GOSSYPIUM HIRSUTUM L (original) (raw)
Related papers
Sixty eight diverse genotypes of American cotton Gossypium hirsutum L. were evaluated for 13 qualitative and quantitative traits. The correlation study revealed that seed cotton yield was found to be positively and significantly correlated with traits like bolls/plant, plant height, seed index, boll weight, lint index, 2.5 per cent span length, monopodial branches and bundle strength, whereas it had negative association with ginning outturn and uniformity ratio. Path analysis revealed that bolls/plant, 2.5 per cent span length, uniformity ratio, lint index and seed index showed positive direct effect on seed cotton yield which suggested that selection for these traits would be quite effective to improve the seed cotton yield in upland cotton.
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 ...
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.
This study was carried out to determine direct and indirect effects of some characters (single leaf area, leaf SPAD value, number of nods, number of sympodial branches, number of monopodial branches, single boll weight, number of bolls) on seed cotton yield. The experiment was carried out with four cotton varieties, two of which okra-leaf (Adana 98, Siokra 1/4) and two of which normal-leaf (Teks and Stoneville 453) cotton (Gossypium hirsutum L.) and was conducted the randomized block design with 4 replications. In order to increase seed cotton yield in the studies of breeding program and selection orderly leaf SPAD value, number of sympodial branches, single boll weight, number of monopodial branches and number of bolls characters determined that must be high. Results showed that in order to increase seed cotton yield in the studies of breeding program and selection the highness of leaf SPAD value, number of sympodial branches, single boll weight, number of monopodial branches and n...
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.
2020
the present study contained 16 testing genotypes that were laid out in a Randomized Complete Block Design (RCBD) with four replications at Cotton Research Station, Dera Ismail Khan, Pakistan with an objective of determining association of traits. Days to emergence, number of sympodial branches plant-1 , number of nodes to first fruiting branch, Plant height, boll number plant-1 , boll weight, seed cotton yield plot-1 ,Seed cotton yield ha-1 ,ginning percentage, lint yield plot-1 and ha-1 , hundred seed weight, micronaire, upper half mean length, short fiber content, fiber Strength, degree of reflectance and yellownesshad showed significance difference at (p=0.05) and their genetic variability was further calculated. Associations among various traits at genotypic and phenotypic level showed that lint yield ha-1 was positively associated with seed cotton yield, boll number per plant and ginning percentage and micronaire. Path coefficient analysis at phenotypic and genotypic level for agronomic traits revealed that seed cotton yield ha-1 and ginning percentage were the most important traits in determining lint yield ha-1 .These traits exerted thehighest positive direct effect on lint yield ha-1. Path coefficient analysis of quality traits at phenotypic level revealed that upper half mean length had showed the highest direct positive effect on fiber strength followed by short fiber content and fiber uniformity, respectively. The path coefficient analysis for genotypic level of fiber quality traits had showed upper half mean length, fiber uniformity and degree of reflectance had a direct positive effect on fiber strength