ArticleSustainable microbiology2025
Microbial alternatives for sustainable insecticide use, a Canadian perspective.
Article in Sustainable microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Authors and funding
2 authors.
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Abstract
This perspective examines the potential of microbial biological control agents (MBCAs) as sustainable tools for managing agricultural insect pests, set against the backdrop of growing pesticide use and climate-driven shifts in pest pressures. We highlight how Canada's unique combination of supportive policies, dedicated research funding, and clear regulatory frameworks has enabled MBCAs to become an integral part of national pest management strategies. By focusing on regulatory innovation, market trends, and the biological and technological factors shaping MBCA adoption, we outline why Canada's experience offers valuable insights for other countries seeking to reduce reliance on synthetic insecticides. We propose practical directions to expand the global use of MBCAs, emphasizing the importance of harmonized regulations, stronger data infrastructure, and coordinated public-private initiatives. This perspective aims to contribute to the broader discourse on sustainable pest management by showcasing how lessons from Canada can inform more resilient, climate-adapted agricultural systems worldwide.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.