Cotton is an important cash crop that provides financial assistance to many people across the world. Leaf morphology and physiology provides a balance between leaf temperature, leaf energy exchange and photosynthesis. The experiment was undertaken to study the association of leaf related traits i.e. leaf area (LA), leaf angle position (LP), number of lobes per leaf (NL), leaf chlorophyll contents (SV), relative water content (RWC), leaf hairiness (HL), leaf color (LC) and yield related traits i.e. boll weight (BW), number of seeds per boll (NS), number of locules per boll (NLB), seed index (SI) and seed volume (SEV). Twenty cotton genotypes were grown using randomized complete block design with three replications. Significant variation among the genotypes was observed for studied traits by analysis of variance. Pearson correlation analysis depicted significant positive association between NL and BW. SV also revealed positive association with SI. BW showed positive association with NLB, NS and SI. LA showed positive association with NL. Path coefficient analysis was utilized to partition the direct and indirect effects of different traits on BW. Path coefficient analysis revealed positive direct effect of NS on BW. Similarly, SI illustrated positive indirect effect on BW via LA. The genotype V-89 was found a best performing genotype with high yield and moderate leaf traits.
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