Phentypic and Genotypic Correlation Coefficiences and Path Ciefficient Analysis Studies of Upland Cotton

Author(s)

Niamat Ullah Khan , Sami Ullah , Shitab khan , Aftab Ahmad khan , Imran Ullah , Azhar Abbas Khan ,

Download Full PDF Pages: 19-31 | Views: 263 | Downloads: 116 | DOI: 10.5281/zenodo.3986571

Volume 4 - April 2020 (04)

Abstract

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

Keywords

correlation, direct effect, indirect effect, path coefficients, variability

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