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Hydrothermal Model Predicts Russian Thistle Seedling Emergence

Seed biology findings from a newly published Weed Science Society of America research article could improve integrated weed management
Posted on February 20, 2024

WESTMINSTER, Colorado – 20 February 2024 – Recently published research in the journal Weed Science highlights the first predictive model to use hydrothermal time (HTT) unit data to predict Russian thistle (Salsola tragus) seedling emergence in the Pacific Northwest (PNW). The predictive model will be especially helpful in timing efforts to control Russian thistle populations in fallow and spring-wheat no-till systems that are vulnerable to becoming herbicide resistant.

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