National Predictive Modeling Tool Initiative
@Ag_PMT
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The National Predictive Modeling Tool Initiative (NPMTI) is leading the way in data-driven resilient agriculture.
Joined October 2023
Wondering about the power of #NPMTI? Here's a glimpse: 1. creating predictive models that anticipate disease outbreaks 2. monitoring pathogen levels and environmental conditions 3. collaborating with institutions to make groundbreaking discoveries
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Weather can be used to predict disease in field crops. Bookmark the Crop Disease Forecasting Tool for the 2026 field season at https://t.co/eM7HWwAIuM.
@badgercropdoc @BisonBeanDoc @Ag_PMT @UWMadScience @tjcksn @alisonrISU @DTelenko @MartinChilvers1 @baldpathologist
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NPMTI is now accepting 2026 proposals for new and recurring projects in the following research areas: corn, cotton, wheat, and pulse crops. Letters of intent are due Jan. 7, and full proposals are due Feb. 4. Apply today! https://t.co/KrFuAAEgDP 🌽
agpmt.org
Join us at the 2025 NPMTI Annual Meeting in Pensacola, FL!
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This is NPMTI at a Glance, which offers an overview of our multi-year program, research successes, and the tools we are developing to improve disease prediction and crop management.
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🌍 We’re proud to contribute live disease data to EDDMapS and Crop Protection Network to help track the real-time spread of tar spot across the U.S. Collaborative efforts like these are essential for safeguarding crops and informing the broader agricultural community. 🗺️🌾
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💰 In 2023, Tarspotter app users saved an average of $36 per acre by optimizing fungicide applications, avoiding unnecessary treatments and protecting yield. Tarspotter is making a measurable difference in sustainable crop management. #AgTech #SmartFarming
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Keep an eye open for southern rust in Michigan https://t.co/wRdq3HfpyL
@Ag_PMT @MSUDiagnostics @MSU_PSM @MSUAgBio @MSUExtension
https://t.co/A4iW14KfjI
This will be great data to improve and develop disease prediction models @Ag_PMT @CropNetwork Thanks to USDA-ARS for funding. @badgercropdoc @MartinChilvers1 @DTelenko @baldpathologist @cropdoc08
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📲 Big news for corn producers: we launched the free Tarspotter app! This mobile tool gives growers on-the-go access to real-time tar spot risk predictions, helping them make more precise fungicide decisions. Download it and put the power of predictive ag in your pocket. 🌽
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📖 Our research team recently published a predictive model for tar spot caused by Phyllachora maydis. This model helps corn producers better anticipate disease outbreaks and make informed management decisions—saving time, money, and yield. #TarSpot #AgScience #NPMTI
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All our tar spot research trials are in the ground at Pinney PAC and ready for tomorrow's rain. @INCornFarmers @PurdueBPP @PurdueAg @Ag_PMT
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I suggest bookmarking these 3 new tools to help make disease management decisions this year @CropNetwork @PurdueExtension @INCornFarmers @INSoybean @PurdueBPP @Ag_PMT
https://t.co/UrlTdjtLID
indianafieldcroppathology.com
I am excited this season to be able to share three new tools from the Crop Protection Network. I strongly recommend you bookmark these on your favorite electronic device(s). These tools are from a...
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Busy day planting @ACRE_Purdue, soybean and corn trials in the ground for research supported by @INSoybean @Ag_PMT @INCornFarmers @PurdueAg @PurdueBPP
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So excited to see this available! Thanks to @USDA_ARS for funding through @Ag_PMT and great colleagues across the US
NEW! Crop disease risk assessment tool at https://t.co/eM7HWwBgkk Forecasting for tar spot, gray leaf spot, frogeye, and white mold. From @badgercropdoc @Ag_PMT @USDA_ARS. @UWMadisonCALS @UWMadison @WIAgContent #fungi #agx #agtwitter #crops #fungicide #forecasting #Farming
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NEW! Crop disease risk assessment tool at https://t.co/eM7HWwBgkk Forecasting for tar spot, gray leaf spot, frogeye, and white mold. From @badgercropdoc @Ag_PMT @USDA_ARS. @UWMadisonCALS @UWMadison @WIAgContent #fungi #agx #agtwitter #crops #fungicide #forecasting #Farming
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🧬 We’ve developed and validated primer sets for three major corn pathogens: tar spot, gray leaf spot, and northern corn leaf blight. This foundational work in molecular diagnostics is paving the way for earlier, more accurate disease detection in the field. 🔍🌱
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Over the past few years, we collected 48 years of data to improve predictive models for tar spot and develop new models for gray leaf spot and northern corn leaf blight. This work is helping growers stay ahead of crop disease with data-driven decision-making.📊🌽#NPMTI
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Penn State's agroecosystem modeling is boosting crop productivity and sustainability. Learn about their projects aimed at reducing environmental impact and enhancing crop resilience. #SustainableFarming #NPMTI
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Fight back against tar spot with #TarSpotter! Use our app to monitor and manage the threat effectively. Available now for farmers for free! #AgTech #HealthyCrops #NPMIT
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The NPMTI Annual Meeting from Feb. 27-28 is still on, and we’re moving full speed ahead! Despite uncertainty, our commitment to agricultural innovation is stronger than ever. With the Trump administration signaling continued support for agriculture, the future is bright.
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Check out the latest study on how environmental factors play a crucial role in developing robust predictive models for wheat diseases like rust and leaf blotch and combating rust diseases and PLB in Kansas. #WheatDiseases #PredictiveTools #NPMTI
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