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Volume 64, Issue 2, December 2022

Articles

Morphology and morphometric diversity of pollen grains of 26 Indian species of Dioscorea L. (Dioscoreaceae)

https://doi.org/10.20324/nelumbo/v64/2022/172403

Published 2022-12-31

  • Debatri Banerjee
    • ,
  • Akramul Hoque
    • ,
  • Suchandrima Siddhanta
    • ,
  • Biswarupa Ghosh
    • ,
  • Debabrata Maity

Debatri Banerjee
Taxonomy and Biosystematics Laboratory, Department of Botany, University of Calcutta 35, Ballygunge Circular Road, Kolkata – 700 019, West Bengal

Akramul Hoque
Taxonomy and Biosystematics Laboratory, Department of Botany, University of Calcutta 35, Ballygunge Circular Road, Kolkata – 700 019, West Bengal

Suchandrima Siddhanta
Taxonomy and Biosystematics Laboratory, Department of Botany, University of Calcutta 35, Ballygunge Circular Road, Kolkata – 700 019, West Bengal

Biswarupa Ghosh
Department of Botany, Brahmananda Keshab Chandra College, Kolkata-700108, West Bengal

Debabrata Maity
Taxonomy and Biosystematics Laboratory, Department of Botany, University of Calcutta 35, Ballygunge Circular Road, Kolkata – 700 019, West Bengal

Abstract

Pollen morphology of 26 species of Dioscorea collected from different regions of India was examined critically under LM and SEM to explore their unique features. Pollen grains were monad, isopolar, small to medium-sized (11.3–31 µm). Peroblate, oblate, suboblate and oblate spheroidal (P/E=0.41–0.90) pollen shape, mono and bi-sulcate aperture type and psilate, reticulate, rugulose, strito-reticulate, reticulate-rugulose, punctate and striate exine ornamentation were believed to be some of the important characters for differentiation of closely related species in this studied genus. The comprehensive qualitative and quantitative characters of the pollen grains served as reliable features in taxonomical studies. The observed data were analyzed using PCA and hierarchical clustering to obtain a steady relationship and grouping of the observed species. Histograms, pie chart and bar graph were performed to enumerate the distribution of the quantitative data of various attributes (long axis, short equatorial axis, pollen shape and aperture length). Correlation scatter plot along with density graph helped to understand the interrelationship amongst the studied taxa.

Keywords

Correlation scatter plot, Dioscorea, Hierarchical clustering, PCA, Systematics

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