Character Association Study and Path Analysis for Fiber Yield and its Attributes in Improved Ethiopian Cotton (Gossypium hirsutum L.) Varieties

This research was designed to study the association of various agronomic and fiber quality related traits and the relative importance of fiber yield attributes. The experimental design used was Randomized Complete Block Design of three replications. The result showed a positive and significant association among four agronomic traits (fiber yield, ginning percentage, seed cotton yield and boll number per plant) and micronaire. Similarly, a highly significant association among fiber quality traits was observed in a desirable direction. However, the genotypic correlation (rg) and phenotypic correlation (rp) analysis indicated a non-significant and low association for most agronomic and fiber quality traits. Fiber yield exhibited positive and highly significant genotypic and phenotypic correlation with ginning percentage (rg = 0.874 and rp = 0.807) and seed cotton yield (rg = 0.954 and rp = 0.948). The path coefficient analysis revealed that ginning percentage and seed cotton yield had a high and positive direct effect on fiber yield. Furthermore, about 65.15% of fiber yield was contributed by ginning percentage and seed cotton yield. In conclusion, this study revealed that simultaneous selection for ginning percentage and seed cotton yield with balanced fiber quality traits probably improves fiber yield.

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Author Gurmessa Donis, Damtew Samuel, Balcha Merdasa and Gebregziabher Arkebe
Maintainer EIAR
Last Updated December 30, 2023, 20:16 (UTC)
Created March 18, 2023, 12:49 (UTC)
contributor Getachew, Meron
creator Gurmessa Donis, Damtew Samuel, Balcha Merdasa and Gebregziabher Arkebe
date 2023-01-12T00:00:00
harvest_object_id 7f0b475f-117e-4aa7-bcb7-625eda88ae6a
harvest_source_id b7467cdf-8775-49cd-b162-b68283e0d13b
harvest_source_title EIAR Open Research Data
identifier https://doi.org/10.20372/eiar-rdm/0ZEBKH
metadata_modified 2023-01-13T07:00:01