Abstract
The experiment was laid to analyze genetic features, genotypic and phenotypic correlation coefficients, path analysis with regression analysis among yield contributing traits in a selected F3 populations of upland cotton including parents. In this research experiment ANOVA showed significant difference among all individual plants in F3 populations. Monopodia per plant and bolls per plant possessed maximum value of PCV% and GCV%. Maximum broad sense heritability (≥ 90) was found in all recorded traits except seeds per boll, fiber length and lint percentage. Correlation studies revealed that Seed cotton yield positively correlated with all yield contributing traits i.e. plant height, monopodial branches per plant, Number of bolls per plant, boll weight, lint weight, seed index, lint index, seeds per boll, fiber fineness, fiber strength and fiber uniformity at both genotypic and phenotypic level whereas it depicted negative relationship with staple length. Path coefficient analysis showed that maximum direct positive effect was found of lint weight (2.6005) on seed cotton yield followed fiber fineness (1.2628), seed index (1.1449) and bolls per plant (1.0027). Regression study exhibited that maximum value of R2 for lint weight (0.9509) and boll weight (0.3735) depicted that 95.09% and 37.35% variation in the seed cotton yield, due to its relationship with lint weight and boll weight. It is concluded that there is a great genetic potential in F3 populations for mostly yield contributing traits for further enhancing yield. So those traits should be used as selection criteria during breeding for yield.
Highlights
In more than 60 countries, cotton is cultivated worldwide as an important fiber crop
Correlation studies revealed that Seed cotton yield positively correlated with all yield contributing traits i.e. plant height, monopodial branches per plant, Number of bolls per plant, boll weight, lint weight, seed index, lint index, seeds per boll, fiber fineness, fiber strength and fiber uniformity at both genotypic and phenotypic level whereas it depicted negative relationship with staple length
Maximum direct effect on seed cotton yield was found for traits like lint weight (2.6005), fiber fineness (1.2628), seed index (1.1449) and bolls per plant (1.0027). It is suggested on basis of path coefficient analysis that emphasis should be given to lint weight, fiber fineness, seed index and bolls per plant for increasing in seed cotton yield. [18] observed similar result from the study of path coefficient analysis that monopodia per plant exhibited negative link with seed cotton yield
Summary
In more than 60 countries, cotton is cultivated worldwide as an important fiber crop. Cotton crop has attracted the consideration of plant breeders and they have improved the cotton plant significantly Through these efforts, there are high yielding cultivars by improving production potential and quality traits through breeding. The present study was designed to find out GCV, PCV, heritability, correlation, path coefficient analysis and regression coefficients of seed cotton yield with other characters like plant height, number of sympodial branches per plant, number of monopodial branches per plan, bolls per plant, boll weight, lint weight, seed cotton yield, seed index, lint percentage, lint index, seeds per boll, fiber fineness, fiber strength, fiber length and fiber uniformity This information will be useful for cotton breeders to improve seed cotton yield and quality in cotton varieties
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