• Muhammad Husnain Bhatti

• Muhammad Irfan Yousaf

• Muhammad Munir

• Muhammad Naeem Khan

• Dilbar Hussain

• Waseem Akbar

• Muhammad Abdullah

• Muhammad Asad Hafeez

• Shoaib Anwar Kohli

• Muhammad Umer Khalid

Abstract

Assessment of available germplasms is the most vital step in developing a crop variety or improving an existing one for a particular character. In the current research, fifteen upland cotton genotypes were evaluated for their genetic potential under semi-arid conditions through two different multivariate analyses i.e. Principal component analysis (PCA) and Agglomerative hierarchical clustering (AHC) to characterize cotton genotypes on the basis of their performance. A significant variation was observed among all the investigated attributes. The correlation matrix revealed the positive association of sympodial branches per plant (SBP), number of bolls per plant (BPP) and ginning out turn (GOT) with seed cotton yield (SCY), whereas staple length (S/L) revealed positive interaction with ginning out turn (GOT) but indicated negative relationship with other yield related traits. First four PCs contributed eighty-five (85%) variation and hence emphasized the role of plant height (PH), days to first flower (DFF), sympodial branches per plant (SBP) and monopodial branches per plant (MBP) for maximum variation. In PC1 genotypes possess maximum yield relating traits, LCA revealed two groups of genotypes, findings of PCA agreed with that of LCA. Information obtained through correlation, PCA and LCA will be used to devise breeding strategy for development of genotypes having batter yield and lint quality.

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