17 S. Gul N. U. Khan S. Batool M. J. Baloch M. Munir M. Sajid A. A. Khakwani S. H. Ghaloo Z. A. Soomro S. F. Kazmi Journal of Animal and Plant Sciences JAPS 20142014/02/01 24 1 262-271 1018-7081 NA <p>Legacy of seed cotton yield and other quantitative traits is highly persuaded by environmental aspects, therefore, phenotypic response of a genotype is ascertained by genetic and environmental factors upon it, although occurrence of a third effect, of no less importance i.e. genotype-by-environment interaction (GEI). Studies were conducted in 2010 and 2011 evaluating G &times; E interactions and correlation in upland cotton using randomized complete block design at the University of Agriculture, Peshawar, Pakistan. The GEI was characterized using eight upland cotton cultivars viz., SLH-284, CIM-446, CIM-473, CIM-496, CIM-499, CIM-506, CIM-544 and CIM-707. Significant (<em>p&le;0.01</em>) mean squares for genotypes, environments and G &times; E interactions revealed genetic variability among cotton genotypes as well as environments inconsistency. The contribution to the total sums of squares, regardless of trait, revealed that genotypes and genotype &times; environment play principal role followed by environments, while replications (experimental error) share was minimal. The environment accounts for 61.86%, 26.99% and 18.64% of total variation for bolls plant-1, seed cotton yield and sympodia plant-1, respectively, considering the larger effects of environment in combination with genotypes on plant growth and morphology. Seed cotton yield has significant (<em>p&le;0.01</em>) positive correlation with boll number, and positive with morphological traits. Based on two-year studies, CIM-496 exhibited the best performance followed by CIM-554 and SLH-284 for improvement in seed cotton and lint yields.</p> G × E interactions, total sum of squares, traits association, seed cotton yield, Gossypium hirsutum L Pakistan Agricultural Scientists Forum https://thejaps.org.pk/AbstractView.aspx?mid=2014-JAPS-38