[{
  "type": "article-journal",
  "title": "GENOTYPE BY ENVIRONMENT INTERACTION AND ASSOCIATION OF MORPHO-YIELD VARIABLES IN UPLAND COTTON",
  "author": [
    {
      "family": "Gul",
      "given": ""
    },
    {
      "family": "Khan",
      "given": ""
    },
    {
      "family": "Batool",
      "given": ""
    },
    {
      "family": "Baloch",
      "given": ""
    },
    {
      "family": "Munir",
      "given": ""
    },
    {
      "family": "Sajid",
      "given": ""
    },
    {
      "family": "Khakwani",
      "given": ""
    },
    {
      "family": "Ghaloo",
      "given": ""
    },
    {
      "family": "Soomro",
      "given": ""
    },
    {
      "family": "Kazmi",
      "given": ""
    }
  ],
  "issued": {
    "date-parts": [[2014]]
  },
  "container-title": "Journal of Animal and Plant Sciences",
  "ISSN": "1018-7081",
  "volume": "24",
  "issue": "1",
  "page": "262-271",
  "DOI": "NA",
  "abstract": "<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>",
  "publisher": "Pakistan Agricultural Scientists Forum",
  "URL": "https://thejaps.org.pk/AbstractView.aspx?mid=2014-JAPS-38"
}]