Diploid cotton Gossypium herbaceum has wide adaptability under rainfed situation and also high degree of resistance to biotic and abiotic stresses. Correlation and path coefficient analysis have been worked out using five phenotypically diverse genotypes of diploid cotton (G. herbaceum (3) and G. arboreum (2)), with the objective to study the association between seed cotton yield and its components for seven quantitative characters in 202 progenies of desi cotton. High significant positive phenotypic and genotypic correlation coefficients were noticed for some of the important traits like number of bolls per plant, boll weight and plant height traits towards seed cotton yield. And also among the traits (inter) significant association was noticed which indirectly contributed to seed cotton yield. The correlation and path coefficient analysis together indicated that these traits should be considered as selection indices for seed cotton yield plant improvement programme.

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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.

Two hundred and two progenies were evaluated at two locations viz., Agricultural Research Station, Annigeri and Main Agricultural Research Station, Dharwad to estimate genetic variability and to identify superior progenies for seed cotton yield, yield contributing and fibre quality traits. The analysis of variance revealed presence of sufficient variability in the material for seven traits at both locations. High phenotypic coefficient of variation (PCV) and genotypic coefficient of variation (GCV) were recorded for number of bolls per plant and seed cotton yield per plant, while, moderate variability estimate was recorded for plant height and low PCV and GCV were noticed for boll weight, ginning out turn, seed index and lint index traits at both the locations. High heritability was observed for seed index exhibited 97 per cent with moderate genetic advance as percent mean (GAM) at both the locations. High GAM was observed for number of bolls per plant, seed cotton yield and plant height. Moderate GAM was noticed for boll weight and seed index traits at both locations. An attempt was made to identify superior progenies, maximum number of superior progenies were observed for seed cotton yield at Dharwad (33 progenies) followed by Annigeri (24 progenies).