When gathering at turfgrass conferences, lawn care operators (LCOs) often discuss the recent weather. Why? They know from years of experience that weather patterns often correlate with outbreaks of plant diseases and pests during the growing season.
Of course, there also are many other factors that influence the likelihood of a pest outbreak, including the genetic resistance of the host plant, how heavily a turf or ornamental plant is fertilized, the physical characteristics of the soil, and plant location.
Still, if it were possible to predict the severity of certain insect problems during a given year, we could all throw away our proverbial crystal balls. As it turns out, one particular factor has a significant influence on plant and insect development: temperature. Because temperatures fluctuate daily, an insect that normally takes four weeks to mature from egg to adult may require five weeks or more in a cooler year, and only two-and-a-half weeks during an abnormally warm period.
| Degree-Day Sample | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
= Chart specifics: Sample is for pine needle scale with a base temperature 50 F. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
DEGREE-DAYS DEFINED. The system of degree-day calculation was developed to help LCOs get a better handle on how temperature impacts insects. Once LCOs start working with the concept, it becomes a useful tool for calculating and predicting insect activity. It’s a bit like your first experience typing on a computer or riding a bicycle – at first, you are clumsy, but after some effort and experience, it becomes comfortable. So, what is a degree-day? The best way to think of it is as an accumulation of temperature over time. Because degree-days dictate the rate of growth and development of plants and animals, they are also sometimes thought of as “thermal time.” With most pest organisms in the landscape, there is a certain minimum temperature at which activity, growth and development slows and eventually stops, otherwise known as base temperature or developmental threshold. For most organisms, base temperature is 50 F. Other organisms’ base temperatures may be as low as 39 F or as high as 54 F. Defined, degree-day accumulation is the sum of the number of degrees by which each day’s average temperature exceeds the base temperature. Luckily, this is easy to calculate. A 24-hour period in which the average temperature for the day is only one degree above the base temperature accumulates or yields one degree-day. So, every day, the degree-day accumulation can be calculated for a specific pest and then analyzed over time. Most degree-day models start with the calendar year, beginning with Jan. 1. However, if you live in the Northeast, Pacific Northwest or Midwest, you can choose a starting date much closer to the onset of insect activity that you’ve noticed in previous years because very few days early in the season are warm enough to significantly contribute to the insect’s degree-day accumulation. For example, if you notice that pine needle scale crawlers start hatching in mid-May in your area, start your calculations with May 1. The best way to obtain temperature information is to purchase and install a Max./Min. thermometer, available at many home improvement and hardware stores. You also can use weather data from television stations or newspaper reports, however, the equipment used to record the temperatures is likely to be as much as 20 miles away. There could be important differences between local and weather service temperatures, especially if the property you’re inspecting is coastal or near a lake. If you operate a lawn care business, you may need to obtain separate data sets from each part of the city. If you have a large account (i. e., estate, shopping mall) or you work for a golf course or campus grounds department, it may be practical to purchase and install a weather station containing a Max./Min. thermometer specifically for the landscape you work with every day. Here’s how to figure the calculation (for a degree-day example using pine needle scale and a base temperature of 50 F, see page 64):
| Insect Insights | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
The following table is adapted from data accumulated by The Ohio State University professors Warren Johnson, David Shetlar and Dan Herms. A more complete table is available from Extension Entomology, Ohio State University, 1991 Kenny Road, Columbus, Ohio 43210. Ask for Bulletin No. 504. These degree-day accumulations are based on a developmental threshold temperature of 50 F. The Max./Min. range represents the degree-day accumulations during which the pest is most susceptible to control. More than one Max./Min. range indicates multiple generations or control periods. All Min/Max ranges represent target degree days.
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| A Phenology Paradigm | ||||||||||||||||||||||||||||||
Extensive phenological charts are available for various insect pests. A comprehensive reference volume is Coincide by Donald Orton. The following examples detail the type of information available in these references:
= Source: Fred Baxendale and John Fech | ||||||||||||||||||||||||||||||
PHENOLOGY. To further refine pesticide application precision, consider using plant/insect phenology relationships in addition to degree-day calculations. Using these two methods together provides a significant advantage over making insecticide applications based merely on a calendar or historical basis.
So, what is phenology and how does it work? Simply put, phenology is the observation of recurring biological events (plants’ blooming characteristics, birds’ migration patterns and the insects’ seasonal appearances). Plants, as well as insects, are heavily dependent on temperature for maturation and development. Thus, plants can be good indicators of what’s going on in the insect world. A big advantage of using plants is that they’re a whole lot bigger and easier to observe than itty-bitty insects.
The power of phenology comes from being able to match a particular growth stage of a plant with the activity or life stage of a specific pest. A visible sign – such as a plant beginning to bloom – can become your signal that it’s time to treat for the pest. (To review a phenology chart example, see A Phenology Paradigm sidebar)
Phenological relationships should be calibrated to local conditions in a similar fashion to degree-day accumulation charts. Recent research indicates that phenological correlations developed in one region of the country are not always accurate when used in another area of the United States. Just as degree-day data varies, there are many reasons for variation in phenological relationships. When plants that originate in one region are planted more than 500 miles away, they can look and respond differently than they do in their place of origin. For example, red maple trees from a seed source in southern Oklahoma often suffer winter injury when grown in South Dakota landscapes. These differences can affect both degree-day accumulations and phenological relationships.
Day length and other environmental factors also can affect these relationships. For insects that overwinter in the soil, such as white grubs, differences in the number of days of very cold temperatures and the length of time that snow cover is in place can cause variable responses as well. Despite all of these influencing factors, the sequence of basic phenological events is remarkably consistent from year to year. Highly visible and readily monitored plant growth stages can serve as effective indicators of when a certain pest is in its most controllable stage.
While phenology and degree-day calculations can be useful for identifying the best times for pest control applications, they should never be substituted for field monitoring potential insect pests. Assess and fine-tune your degree-day and phenological predictions by keeping an eye on insect populations in the landscapes you service. Maintain accurate records and compare notes with other LCOs to gain insights into why a particular pest’s development may have been delayed or is right on schedule. Natural enemies, overlapping pest generations or inaccurate weather data may have caused your predictions to be off base.
Baxendale is an entomology professor, University of Nebraska, Lincoln, Neb., and Fech is an extension educator, University of Nebraska Extension, Omaha, Neb.
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