Genetic Diversity in Cotton Germplasm using Multivariate Analysis
Genetic Diversity in Cotton Germplasm using Multivariate Analysis
Syed Asif Imran Shah1*, Shah Jehan Khan2, Kalim Ullah1 and Obaid Ullah Sayal2
ABSTRACT
Sixty four upland cotton genotypes were investigated for genetic divergence regarding yield related attributes, seed cotton yield and fibre quality traits using principle component analysis. The experiment was carried out at Cotton Research Station, Deara Ismail Khan, Pakistan during 2014-15. The triplicated randomized complete block design was followed and attributes of interest were plant height, monopodia plant-1, sympodia plant-1, bolls plant-1, plant population, seed index, boll weight, lint index, staple length, lint %, fibre fineness,staple strength, uniformity ratio and seed cotton yield. The analysis of variance depicted significant (P>0.01) genetic variability among cotton germplasm. Highest and close symmetry between phenotypic and genotypic coefficient of variances while lower values of environmental coefficient variance were observed for all the studied attributes which reflected that these traits were genetically controlled and under less influence of environment. Higher broad sense heritability and expected genetic advance reflected that all attributes were governed by additive genes and early phenotypic selection for their improvement might be effective. Five principle components (PCs) were depicted having Eigen value >1 and cumulative variability of 78.66%; PC1 (37.19%), PC2 (12.94%), PC3 (11.62%), PC4 (9.60%) and PC5 (7.32%) of variability. The attributes of significance depicted in PC1 were seed cotton yield, seed index, lint index, sympodia plant-1 and bolls plant-1divulged great contribution towards total variability. Score plot revealed that Baghdadi, CIM 622, SLH 8, BH 184, Sitara 008, CEMB 66, Leader 5, Cyto 178, FH Lalazar, CRIS 600, AA 703 and Sitara 009 were resulted as most divergent germplasm. These genetically diverse genotypes with absolute and significant association of attributes could be utilized in future cotton breeding program
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