Predicting the risk of soybean rust in Minnesota based on an integrated atmospheric model

Keyphrases

• Minnesota 100%
• Soybean Rust 100%
• Atmospheric Model 100%
• DNA Testing 66%
• Leaf Wetness 66%
• University of Minnesota 33%
• United States 33%
• DNA Sequencing 33%
• Fungicide 33%
• Disease Management 33%
• Disease Management Strategy 33%
• Risk Prediction 33%
• Spore Germination 33%
• Sequence Analysis 33%
• Crop Loss 33%
• National Weather Service 33%
• Occurrence Risk 33%
• User Community 33%
• Forecast Data 33%
• Model Forecast 33%
• Daily Prediction 33%
• Spore Transport 33%
• Spore Infection 33%
• Weather Forecast 33%
• Spore Deposition 33%
• Atmospheric Dry Deposition 33%

Agricultural and Biological Sciences

• Soybean Rust 100%
• Leaf Wetness 66%
• Fungicide 33%
• Shotgun Sequencing 33%
• Atmospheric Deposition 33%
• Spore Germination 33%