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Genetic Study of Cotton (Gossypium hirsutum L.) Genotypes for Different Agronomic, Yield and Quality Traits

Genetic Study of Cotton (Gossypium hirsutum L.) Genotypes for Different Agronomic, Yield and Quality Traits

Ehtisham Shakeel Khokhar1*, Amir Shakeel1, Muhammad Amir Maqbool1, Muhammad Waheed Anwar1, Zoraiz Tanveer1 and Muhammad Fahad Irfan2 

1Department of Plant Breeding and Genetics, University of Agriculture, Faisalabad, Pakistan; 2Department of Economics and Agricultural Economics, PMAS Arid Agriculture University, Rawalpindi, Pakistan.

ehtishamshakeel@hotmail.com

ABSTRACT

The present investigations were carried out to study the genetic variability, coefficient of variations, heritability, genetic advance and correlation among 20 F1 hybrids and 9 parents in upland cotton. Line × tester mating design was deployed to develop crosses and 29 cotton genotypes were field planted in randomized complete block design (RCBD) in three replications to assess the genotypes for plant height (cm), number of sympodial branches, number of monopodial branches, seed cotton yield (g), number of bolls, boll weight (g), lint percentage (%), fiber strength (g/tex), fiber length (mm) and fiber fineness (µg/inch). Analysis of variance revealed significant differences at 1% level of significance for all traits except fiber fineness. The mean performance of F1 populations were better than parents. Maximum GCV was recorded for number of monopodial branches followed by number of sympodial branches and seed cotton yield. High broad sense heritability estimates were reported for seed cotton yield and all yield contributing traits except fiber quality with high response to selection. High heritability with genetic advance suggested vigorous phenotypic selection in breeding population for the improvement of crop traits. The correlation coefficient depicted that seed cotton yield is positively associated with other yield contributing traits suggesting that more than one trait can be used as indirect selection criteria in segregating populations.  

 

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Pakistan Journal of Agricultural Research

June

Vol. 31, Iss. 2, Pages 106-201

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