ABSTRACT
Tea red spider mite (TRSM), Oligonychus coffeae Nietner, is one of the major pests that cause considerable crop losses in all tea-growing countries. TRSM management often involves the use of multiple chemical pesticides that are linked to human health risks and environmental pollution. Considering these critical issues, employing biocontrol agents is a potential green approach that may replace synthetic pesticides. This review study aims to discuss the efficacy of plant extracts, entomopathogenic microorganisms, and predators in controlling TRSM. This study includes 44 botanical extracts, 14 microbial species, and 8 potential predators used to control TRSM, along with their respective modes of action. Most of the botanical extracts have ovicidal, adulticidal, and larvicidal activity, ranging from 80 to 100 %, attributed to bioactive compounds such as phenols, alcohols, alkaloids, tannins, and other secondary metabolites. Among microbial pesticides, Purpureocillium lilacinum, Metarhizium robertsii, Aspergillus niger, Pseudomonas fluorescens, and Pseudomonas putida are highly effective against TRSM without causing any harm to the nontarget beneficial insects. Besides, some predators, including green lacewings, ladybirds, and phytoseiid mites have the potential to control TRSM. Employing these biocontrol agents simultaneously in tea plantations could be more effective in preventing TRSM. Nevertheless, their high biodegradability rate, uneven distribution, and uncontrolled release pose challenges for large-scale field applications. This study also explores how nanotechnology can enhance sustainability by addressing the limitations of biopesticides in field conditions. This review study could contribute to the search for potential biocontrol agents and the development of commercial nano biopesticides to control TRSM.
ABSTRACT
Trace element pollution from anthropogenic sources is increasingly widespread. This pollution in terrestrial environments threatens agricultural crop production, while in aquatic environments, it threatens fish cultivation. The contamination of these crucial food sources raises significant concerns regarding food safety, security, and its potential adverse effects on human health. Coastal areas are particularly vulnerable to heavy metal pollution due to their proximity to industrial and urban centres, as well as their susceptibility to contamination from marine sources. In attempting to identify the sources of heavy metals (As, Cu, Cr, Cd, Fe, Hg, Mn, Ni, Pb, and Zn) and measure their contributions, we collected soil samples from thirty sites along the three coastal districts (Patuakhali, Barguna, and Bhola) in Bangladesh. Using atomic absorption spectroscopy, heavy metal concentrations in soil samples were measured and three receptor models (PMF, PCA-MLR, and UNMIX) were applied to detect their sources. Pairwise correlation analysis of metal concentrations in 30 sites across 3 coastal districts showed all possible patterns, including both significant and insignificant positive and negative relationships between different metals, except for As and Hg which did not display any significant relationships with other metals. The concentrations of Cu, Fe, Mn, Ni, and Zn exceed the US-EPA sediment quality standard. The applied PCA-MLR, PMF, and UNMIX models identified several sources of heavy metal contamination, including (i) mixed anthropogenic and natural activities: contribution of 59%, 37%, and 43%, and (ii) vehicle emissions: contribution of 23%, 26% and 29%. The recognized metal sources should be prioritised to avoid the discharge of poisonous pollutants from anthropogenic factors and any possible future exposure. This study's findings have implications for ongoing monitoring and management of heavy metal contamination in coastal environments to mitigate potential health and ecological impacts and can inform policy development and management strategies.