MULTIVARIATE ANALYSIS FOR MORPHOLOGICAL TRAITS OF RUMEX DENTATUS

Authors

  • AMNA Department of Plant Breeding & Genetics, Faculty of Agricultural Sciences, University of the Punjab, Lahore, Pakistan Author
  • E YASEEN Department of Plant Breeding & Genetics, Faculty of Agricultural Sciences, University of the Punjab, Lahore, Pakistan Author

DOI:

https://doi.org/10.64013/bbasrjlifess.v2026i1.53

Keywords:

Rumex dentatus, morphological traits, correlation, regression, GGEbiplot

Abstract

The study assessed the growth performance and morphological variation of Rumex dentatus taken from three distinct places within the University of Punjab, Lahore's Faculty of Agriculture Sciences. Nine plant samples were examined for characteristics such as fresh weight, dry weight, moisture content, leaf area, leaf width, leaf length, and root length. Statistical analyses of ANOVA, regression, correlation, and GGE biplot analyses were performed by Statistix software. All measured features showed notable variations between distinct regions. Strong positive correlations were found between leaf-related metrics, while negative correlations were found between leaf-related parameters and root length and shoot height. Regression analyses revealed strong interconnectedness between the variables. Location 1 was found to be relatively favorable for vegetative growth. The environmental influence on the growth of Rumex dentatus was highlighted through this study. As for management strategies, it was suggested to control the growing population of Rumex dentatus to minimize yield loss.

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Author Biographies

  • AMNA, Department of Plant Breeding & Genetics, Faculty of Agricultural Sciences, University of the Punjab, Lahore, Pakistan

    NA

  • E YASEEN, Department of Plant Breeding & Genetics, Faculty of Agricultural Sciences, University of the Punjab, Lahore, Pakistan

    NA

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Published

04-06-2026

How to Cite

AMNA, & YASEEN, E. (2026). MULTIVARIATE ANALYSIS FOR MORPHOLOGICAL TRAITS OF RUMEX DENTATUS . Journal of Life and Social Sciences, 2026(1), 53. https://doi.org/10.64013/bbasrjlifess.v2026i1.53

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