EFFECT OF AUTOMOBILE RELATED LEAD POLLUTION ON SPATIO-TEMPORAL DISTRIBUTION OF BIOCHEMICAL ATTRIBUTES ALONG ROADSIDE VEGETATION

I AHMAD; T HUSSAIN; M LIAQUAT; S ANJUM; M SARWAR; S AHMAD; Q ALI; W NASEEM; SA RIZVI

doi:10.54112/bcsrj.v2023i1.632

Authors

I AHMAD Department of Botany, Govt. Post-Graduate College Satellite Town Gujranwala, Pakistan
T HUSSAIN Department of Horticulture, PMAS Arid Agriculture University, Rawalpindi, Pakistan
M LIAQUAT Department of Horticulture, PMAS Arid Agriculture University, Rawalpindi, Pakistan
S ANJUM Institute of Botany, Faculty of Life Sciences, University of the Punjab, Lahore, 54590, Pakistan
M SARWAR Department of Horticulture, Faculty of Agricultural Sciences, University of the Punjab, Lahore, 54590, Pakistan
S AHMAD Department of Entomology, Faculty of Agricultural Sciences, University of the Punjab, Lahore, 54590, Pakistan
Q ALI Department of Plant Breeding and Genetics, Faculty of Agricultural Sciences, University of the Punjab, Lahore, 54590, Pakistan
W NASEEM Soil and water conservation research Institute Chakwal, Pakistan
SA RIZVI Soil and water conservation research Institute Chakwal, Pakistan

DOI:

https://doi.org/10.54112/bcsrj.v2023i1.632

Keywords:

Vehicular Pb2 pollution, Seasonal variation, Biochemical attributes, environmental hazards

Abstract

This research was carried out for the phyto-monitoring of pollution to check the effect of Pb2+ pollution on the spatio-temporal distribution of biochemical attributes resulting along Motorway M-2 and G.T. road Kharian to Taxila. The result showed that maximum decrease of total soluble sugars in Nerium oleander (0.023 mg/g F.wt) along M-2 and Calotropis procera (0.042 mg/g F.wt) along N-5, total free amino acid in Datura alba (0.501 mg/g F.wt) and Cenchrus ciliaris (0.62 mg/g F.wt) and total soluble proteins in Cenchrus ciliaris (3.91 mg/g F.wt) and Ricinus communis (0.73 mg/g F.wt) due to high concentration of Pb2+ (2.05-1.33 mg/kg dry wt.) along roadside. Findings may have their application as bio-indicators to perceive the occurrence of atmospheric pollutants on plants for identification and prediction of environmental hazards.

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