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Rory McIlroy surges into six-shot Masters lead with stunning second-round flourish ‘That’ll be the end’: actor Sam Neill joins fight to stop controversial goldmine near his New Zealand vineyard Roberto De Zerbi targets ‘Ange-ball’ revival to save Spurs from relegation Bath hit back to reach semi-final after stunning Northampton in 11-try epic Secret Garden to Outcome: the week in rave reviews Zebras, wealth and power: Hungary’s election tests Orbán’s grip on power ‘TikTok effect’ brings sellout crowds and younger fans to Grand National meeting The war over Omagh’s gold: the £21bn mine plan tearing a community apart Britain’s shadow workforce is paid as little as 65p an hour. Who cares for the carers? From You, Me & Tuscany to Euphoria: your complete entertainment guide to the week ahead Six great reads: the man who let snakes bite him, masked heavy metal and the brutal reality for foreign students in the UK American Classic review – I defy you not to fall in love with Kevin Kline and Laura Linney’s tender comedy Cuba’s doctors were a lifeline for the world. 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‘Slug sleuth’ farmers in England help develop prediction tool to cut back on pesticide use
https://www.theguardian.com/profile/joanna-partridge · 2026-06-21 · via The Guardian

Farmers believe they have a new weapon in their age-old battle against the slugs that destroy their crops: modern technology.

Slug prediction maps, which have been created by computer models as part of an research project, are now helping growers to better target the use of pesticides, saving them money and reducing environmental harm.

Slug damage is not just frustrating – as many gardeners will profess – but it is also expensive for arable farmers, with damage to wheat and oilseed rape crops estimated to cost almost £44m a year in the UK.

The gastropod mollusc grazes on the young leaves of emerging cereal crops and has also been known to eat barley, oat and wheat seeds. Slugs also damage potatoes and can have a huge impact on vegetable crops, as whole fields sometimes have to be abandoned if there are signs of an infestation.

The monitoring work is being carried out as part of the entertainingly named Slimers project – which stands for strategies leading to improved management and enhanced resilience to slugs.

A slug trap is inspected in an arable field as part of the Slimers project
Farmers were recruited to work alongside scientists to increase understanding of the slug’s behaviour by setting up traps on their land. Photograph: Slimers

The three-year, £2.6m scheme, which began in 2023 and comes to an end in late August, is funded by the Department for Environment, Food and Rural Affairs and led by the British On-Farm Innovation Network.

A team of 28 “slug sleuth” farmers were recruited to work alongside scientists to increase understanding of the invertebrates’ behaviour by setting up traps – large plastic saucers – on their land. This information was fed into a computer model, and an algorithm was used to predict where the slugs would be found in arable fields, while soil samples were also taken.

The resulting slug prediction maps were tested by 16 farmers over the past autumn and winter, and have already helped them to halve the amount of slug pellets they need to use to control the pests.

Charles Paynter, a farmer in Bedfordshire who was involved with Slimers from the start, has already cut back on his use of pesticides.

“My threshold for taking control measures is higher now because I have been able to prove to myself that I can evaluate the risks from slug activity with greater accuracy,” he said.

The chemical metaldehyde, which was commonly used in slug control products in the UK, was banned in 2022, and this has resulted in the increased use of ferric phosphate pellets. There is, however, appetite for alternatives to pesticides.

Prof Keith Walters in a maroon red pull-neck jumper
Prof Keith Walters and his team from Harper Adams University are confident that the prediction model works. Photograph: Slimers

Prof Keith Walters and a team from Harper Adams University created the slug prediction model. He said they were now confident that it worked.

“We already knew that slugs didn’t occur randomly across fields, but that they form distinct patches according to soil type and climatic conditions,” Walters said.

“The slug sleuths’ data of slug populations across their fields helped us develop that understanding further and allowed us to confirm our hypothesis about how slug patches re-form after waterlogging.

Slug pellets are spread from the back of a quad bike
Slug pellets are spread. Arable farmers will soon be able to pinpoint where slugs will strike – and target them more precisely. Photograph: Slimers

“In waterlogged soils, [slug] patches become unstable and break down, but we have now confirmed that patches re-form temporarily in places we wouldn’t expect in normal conditions and then quickly return to their predicted areas once more typical soil conditions return.”

Another part of the Slimers project has been working to develop slug-resistant wheat varieties. Scientists have identified three areas of the wheat genome that are responsible for resistance to the grey field slug, and it is hoped this finding will pave the way for plant breeders to develop new varieties that will not be damaged by what farmers call one of the most persistent pests.