Dollar Spot

Sukre Rotinia Homo Carpa is considered the most common lawn disease in North America, especially golf green and fairways (Charbonneau, 2010). Dollar spots produce round plaques and the color of the straw is 2 to 6 inches on finely cropped grass. Early in the morning, when the grass is covered with dew, the lawn leaves may grow like a net. In the early stage of the disease, the leaves form a ribbon shaped hourglass with yellowish brown spots in the middle of the leaves (Duble, 2006).

There are many fungicides that can suppress dollar spots. However, not all fungicides controlling dolphos spots can extend activity against other diseases. In order to support the decision-making process, the University of Wisconsin has developed a mobile-ready database that allows users to see which disinfectant can control or suppress various diseases. Much of the information on this system comes from excellent publication titled "Chemical Control of Turf Disease" published by University of Kentucky and Rutgers University. This database is very suitable for turf disease, especially during this year's season, many diseases affect our cold weather lawn. The link is also available here (https://turfpests.wisc.edu/). It also has information on insects and weeds.

Now is the good opportunity to start a seasonal dollar spot management plan. Fortunately, there are many excellent products available to fight this disease. In addition, there are new tools to help you decide when these disinfectants are applied. The most noteworthy is the dollar spot prediction model developed by scientists at the University of Wisconsin. The Smith-Kerns dollar spot predictive model uses the average temperature and relative humidity measurements for 5 days to predict the possibility of dollar spot activity. This model has been validated in several places in the United States. In order to use this model, the administrator can enter the weather data of the site such as temperature and relative humidity. After this input, the model generates risk indicators to warn about potential dollar spot activities. We recommend that you familiarize yourself with this model to determine which thresholds are best for your location.