Arable farmers across the UK may soon have a powerful new tool in their arsenal against crop-devouring slugs, thanks to pioneering research from Harper Adams University in Shropshire. The institution, in collaboration with a network of 28 'slug sleuth' farmers, has developed advanced 'prediction maps' designed to forecast slug behaviour, potentially leading to a significant reduction in pesticide use.
This innovative work forms part of the 'Strategies Leading to Improved Management and Enhanced Resilience to Slugs' (SLIMERS) programme, a comprehensive three-year initiative backed by £2.6 million in funding from the Department for Environment, Food and Rural Affairs (Defra). Researchers hope these detailed maps will enable more precise control over slug populations in agricultural fields, moving away from broad-spectrum treatments towards more targeted and environmentally conscious methods.
Professor Keith Walters from Harper Adams University explained that the research provides crucial insights into where slugs are most likely to appear, particularly how their clusters reform after periods of waterlogging. "We have now confirmed that patches reform temporarily in places we wouldn't expect in normal conditions and then quickly return to their predicted areas once more typical soil conditions return," Professor Walters stated. He added that despite lower slug numbers during the testing phase, sufficient data was collected to validate the model's effectiveness and its practical application for farmers.
Over 100 farms have participated in the scheme, including Bedfordshire-based wheat farmer Charles Paynter. Mr Paynter highlighted the practical benefits, noting that the research will help him better anticipate slug attacks. "This means we will be able to use more targeted treatments which has the potential to be less damaging to biodiversity," he commented. He also noted that his threshold for implementing control measures is now higher, as he can more accurately assess the risks posed by slug activity.
The successful development of these prediction maps marks a significant step towards more sustainable farming practices in the UK. By understanding and predicting slug movements, farmers can apply treatments only where and when necessary, safeguarding biodiversity and reducing the environmental footprint of agriculture. The model's compatibility with existing commercial farming equipment also ensures a smooth integration into current operational workflows.