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Sampling for Soybean Cyst Nematode (SCN)

Ed Zaworski, of the Plant and Insect Diagnostic Clinic at Iowa State University, discusses sampling for soybean cyst nematode (SCN).  He gives tips and pointers on when and how to sample as well as how to properly ship your sample to the clinic for analysis.

 

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IPM YouTube

The Iowa State University Integrated Pest Management program is introducing a YouTube channel that promotes efforts of Iowa State scientists and researchers who provide means-tested crop and pest management solutions to stakeholders in Iowa and beyond. At the Integrated Pest Management Iowa State University channel, viewers will find content detailing the efforts and reaches of the IPM program, best practices and information, as well as demonstrations on how to properly identify and evaluate various insect and disease pests and their impacts on field crops.

Harrison County Herbicide Resistance Project - 2018

The Harrison County Herbicide Resistance Project is bringing together local members of the agricultural community to preserve management tools while battling resistance. Learn more from this recap of the 2018 Soybean Field Day.

Quantifying soybean yield losses due to sudden death syndrome (SDS)

Muhammad Mohsin Raza, a graduate research assistant at Iowa State University in the Plant Pathology and Microbiology department, discusses his research project in this video. Sudden death syndrome is one of the major yield-limiting diseases of soybean and has widely spread across soybean producing states in the U.S. Every year; farmers suffer substantial yield losses due to this disease. Because of the limited understanding of the impact of SDS on soybean yield, it makes it difficult for farmers to decide whether or not to apply management tactics.

Detecting soybean sudden death syndrome using remote sensing

Muhammad Mohsin Raza, a graduate research assistant at Iowa State University in the Plant Pathology and Microbiology department, discusses his research project in this video. Soybean sudden death syndrome is a disease of major economic importance in the North and South Americas regarding yield losses. Monitoring soybean health and detecting SDS at initial crop stages is essential to facilitate sustainable, environment-friendly, and cost-effective management practices in grower’s fields.

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