Bayer looks to AI to combat herbicide resistance faster

Chicago | Reuters—Bayer’s crop science division is increasingly turning to artificial intelligence in its battle against crop killing weeds, the company told Reuters.

Weeds are growing resistant to the herbicides already on the market, and agribusiness companies like Bayer are in a desperate search for new modes of action to help farmers kill them.

Bayer’s Icafolin product will be its first new mode of action herbicide in some 30 years when it launches in Brazil in 2028.

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Dr. Cheryl Waldner presents current feedlot health and nutrition research during the Livestock and Forage Centre of Excellence Field Day southeast of Saskatoon, Sask. Waldner is the Beef Cattle Research Council Industrial Research Chair in One Health and Production Limiting Diseases at the University of Saskatchewan’s Western College of Veterinary Medicine. Photo: Melissa Jeffers-Bezan 
Dr. Cheryl Waldner presents current feedlot health and nutrition research during the Livestock and Forage Centre of Excellence Field Day southeast of Saskatoon, Sask. Waldner is the Beef Cattle Research Council Industrial Research Chair in One Health and Production Limiting Diseases at the University of Saskatchewan’s Western College of Veterinary Medicine. Photo: Melissa Jeffers-Bezan

LFCE Field Day covers everything from pneumonia to drought

Attendees took in presentations outdoors on genetics and genomics, managing forage, water and drought, plus feedlot health and management. A hot topic of conversation was the drought — or lack thereof. Much of the current research at the University of Saskatchewan focuses on drought.

Frank Terhorst, executive vice president of strategy and sustainability at Bayer’s Crop Science Division, told Reuters on Monday that AI could help speed up finding that next new mode of action.

“You want to find the one where you have maximum performance on what you want to kill – weeds, and basically no impact on everything else. And that balance is extremely difficult,” Terhorst told Reuters after an event in Chicago.

AI, he said, helps the company match the protein structure of a weed with a molecule that targets that structure, and enables it to use huge amounts of data.

It is a faster process, he said, and there are fewer dropouts.

Bob Reiter, head of research and development, crop science, at Bayer, said in a statement that with AI tools, the timeline for the discovery of the next new mode of action could be much shorter.

“If we take the example of early research only, we today have at least three times the number of new modes of action compared to ten years ago,” he said.

Source: Farmtario.com

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