Predictive Modeling for Turfgrass Performance and Health
Carmen Magro, CGCS
Information in this webcast hits home for turf managers in every region as it ties together variations in soil and ambient conditions and their effect on turf health and performance. Carmen Magro, CGCS, explaines how to use technology and models to determine if a system is trending toward positive or negative performance. Traditional models of growing degree days may fail to recognize fine changes in a turf system’s microclimates. They generally focus on insects and other more easily predictable pests. Magro will share new technology experiences that are refining and inventing more useful models to assist turf managers with understanding how multiple variables combine to impact turf performance.
Original presentation date: Jan. 9, 2014
About the instructor
Carmen Magro, CGCS, is the vice president/agronomist of Stevens Water Monitoring Systems. Previously a certified golf course superintendent in the Mid-Atlantic region of the U.S., Magro has gone on to work in climates around the world dealing with warm- and cool-season grasses. In addition, he has done work with the USDA, agricultural entities and environmental land-use projects that have focused on using soil, water and nutrients most effectively to deliver improved plant performance. He maintains his CGCS status and feels his work as a golf course superintendent, a university educator and researcher, a turfgrass nutritionist and international turfgrass and agriculture consultant have kept him focused on practical solutions that aid turf managers in making economical and useful decisions in their day-to-day operations.
Member price: Free
Nonmember price: $60
Chapter price: $100
Education points: 0.2
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