Dollar spot outbreaks increasingly result in serious surface quality loss on greens, approaches and tees. Changing climatic conditions and Integrated Turf Management (ITM) practices are driving the severity of attacks.
Turf Advisor gives you the data to decide control strategies. Pick the appropriate Turf Advisor tools for your dashboard and prioritise their order, to better understand dollar spot risks and when to act.
Find out more about Turf Advisor, or download from the links below:
Dollar spot dashboard
Find out how each of the data sets you can select influence dollar spot development and your decision making
Humidity
Humidity is one of the key drivers for dollar spot outbreaks. You can set the risk threshold in Turf Advisor for 70% (medium) 80% (high), show in amber/red when the most challenging periods occur.
Leaf wetness
Dollar spot thrives in prolonged periods of leaf wetness – particularly when roots are dry. Turf Advisor gives an indication of potential wet leaves, but be aware that irrigation or local conditions could also influence duration.
Air temperature
Temperature is one of the main influences of dollar spot infection. Although the information is built into the Smith-Kerns model, the actual data helps quantify risk pressures. Review the past week's figures for what is happening now.
Rainfall
Keep track of recent rainfall and accurate forecasts for the coming days. Get an instant view of average data for the past two weeks, and compare to historic 10-year records for your current two-week period.
Evapotranspiration
Dry soils are associated with more severe outbreaks of dollar spot, particularly where turf is under other stress. Turf Advisor forecasts of evapotranspiration can help to manage and mitigate any deficits earlier and more effectively.
Smith Kerns model
Recognised as the most accurate available model for dollar spot risks, Turf Advisor indicates pressure over the past week and for the coming days – to help you assess risk. Also gives a two-week average and a historical risk to aid better decision making.
