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Elemental Composition of Plants and Multivariate Analysis

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Abstract

Fourteen elements such as C, O, Na, Mg, Al, Si, P, S, Cl, K, Ca, Fe, Cu and Mn were determined in the leaves of plant samples collected from the catchment areas of river Beas using scanning electron microscopy-energy dispersive X-ray spectroscopy. Various multivariate techniques such as cluster analysis (CA), factor analysis (FA) and principal component analysis (PCA) were used for the analysis of data. CA showed that Saccharum bengalense, Cenchrus ciliaris and Typha angustata from the order Poales are included in the same group. The first three components of PCA explained 78.35% of the total variance. In FA, factor-1 explained 41% of the total variance and had loadings more than 0.7 on Mg, S, Cl, K and Ca. Factor-2 accounted for 22% of the total variance and had significant loading (− 0.868) on O. Factor-3 comprising of Si with a loading of 0.951 explained 14% of the total variance. It is inferred from FA, that first factor is based mainly on the active uptake of nutrients from the soil, the second factor constitutes the uptake of O as gaseous absorption from atmosphere or atmospheric driven transpiration pull, and the third factor is the passive absorption of SiO2.

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Acknowledgements

The author Vinod Kumar is thankful to the University Grants Commission, New Delhi, for providing research fellowships under scheme “University with Potential for Excellence” and National fellowship.

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Authors and Affiliations

  1. Department of Botanical and Environmental Sciences, Guru Nanak Dev University, Amritsar, Punjab, 143005, India

    Vinod Kumar, Anket Sharma, Renu Bhardwaj & A. K. Thukral

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  1. Vinod Kumar
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  2. Anket Sharma
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Correspondence to Vinod Kumar.

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Kumar, V., Sharma, A., Bhardwaj, R. et al. Elemental Composition of Plants and Multivariate Analysis. Natl. Acad. Sci. Lett. 42, 45–50 (2019). https://doi.org/10.1007/s40009-018-0715-1

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