Light microscopic dataset of angiosperm pollen diversity from Sirmaur district, Himachal Pradesh (India)

Rubal Kumari; Devendra Kumar Srivastava; Pallvi  Kumari; Gauri  Dhiman; Kamlesh Kumari  Negi

doi:10.30550/j.lil/2409

Authors

Rubal Kumari Department of Botany, Eternal University (EU), Himachal Pradesh-173101, India. https://orcid.org/0009-0004-7885-4716
Devendra Kumar Srivastava Department of Botany, Eternal University (EU), Himachal Pradesh-173101, India https://orcid.org/0000-0003-2971-8502
Pallvi Kumari Department of Botany, Eternal University (EU), Himachal Pradesh-173101, India. https://orcid.org/0009-0000-5436-7674
Gauri Dhiman Department of Botany, Eternal University (EU), Himachal Pradesh-173101, India https://orcid.org/0009-0001-7821-977X
Kamlesh Kumari Negi Department of Botany, Daulat Ram College (DRC), University of Delhi, Old Delhi – 110007, India https://orcid.org/0009-0002-3829-0085

DOI:

https://doi.org/10.30550/j.lil/2409

Keywords:

Aperture types, pollen morphometrics, symmetry, viability

Abstract

The present study documents angiosperm pollen diversity from the relatively unexplored high-altitude regions of district Sirmaur, Himachal Pradesh (India), using a light microscopic dataset. It comprises morphometric, viability, and distributional analyses of 70 wild taxa representing 40 families. Herbs dominate the sampled flora, followed by shrubs, trees, and a climber. Considerable variation was observed in pollen size, shape, P/E ratio, symmetry, polarity, aperture types, and exine ornamentation. Seven shape categories were identified, with spheroidal and prolate-spheroidal forms most common. Pollen grains were largely radially symmetrical and isopolar, with limited instances of bilateral symmetry and heteropolarity. Eleven aperture types were recorded, predominantly tri-colpate. Exine patterns ranged from simple to complex forms. Most pollen fell within a moderate size range, with occasional extremes indicating species-level adaptation. Despite structural diversity, viability remained consistently high. This dataset provides baseline insights into pollen diversity, supporting taxonomic, ecological, and reproductive interpretations of the regional flora.

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