Evaluation of diversity and estimation of association among various yield related and fiber quality traits in Gossypium hirsutum L.
Keywords:
Correlation Analysis, Hierarchical clustering, multivariate, Morphological TraitsAbstract
Cotton is majorly grown for fiber in various regions of world. It has major role in Pakistan’s economy. Despite of its increased production within country, the demand of good quality and contamination free fibers is also increasing day by day. Moreover, cotton is also effected by various biotic and abiotic factors that result in low yield and reduced quality of cotton fibers. Various yield and fiber quality traits are associated with each other and can be improved simultaneously. Correlation coefficient analysis tells about the direction of relationship along with the extent of association among traits. Moreover, diversity among genotypes is also a crucial factor for effective selection of desired genotypes which can be assessed through cluster analysis. This research was performed under RCB design with three replications. 17 genotypes of upland cotton were utilized to estimate correlation coefficient between quantitative characters of G. hirsutum. 13 plant parameters including both morphological and fiber quality traits were observed for each accession. Analysis of variance exhibited significant variations among varieties for all the observed attributes at 5% level of significance. Results of correlation analysis demonstrated that sympodial branches, height of plants, number of bolls, average seeds per boll, 100 seed weight and fiber length had linear relation with each other. Positive correlation also existed among GOT and lint index, fiber strength and fineness. Meanwhile, number of monopodia and boll weight had negative relation with fruiting branches, average number of bolls, plant height, count of seeds per boll, 100 seed weight and fiber length. Cluster analysis revealed four clusters of genotypes with cluster III was the smallest one. Cluster I, II, III and IV comprised of 6, 4, 1, 6 genotypes, respectively. The objective of the research was to determine correlation among yield and fiber traits and identify diversity among genotypes.
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