
When pest management is based on calendar timings, daily temperature is not taken into account. This can result in misreading information regarding current insect activity. Depending on weather conditions, insect development may vary from year to year by a few weeks, consequently predicting the proper time for control measures is difficult.
Insects, like plants and many other organisms, are dependent on temperature to develop. These organisms begin developing when the temperature exceeds the lower developmental threshold or base temperature. The rate of development increases as the temperature exceeds the base temperature and decreases as the temperature drops. Thus, insect development is accelerated during warm years and delayed during cooler years. Upper developmental thresholds, temperatures above which growth slows or ceases, are seldom used for insects since these thresholds are either not known, or they live in habitats where the upper threshold is seldom exceeded. Growing Degree-Days (GDD) takes into account the average daily temperature by calculating the number of heat units received. Thus, this system can be more accurate than the calendar method for estimating insect development and timing management strategies.
Several mathematical equations, such as the Average, Triangulation, and Sine, can be used for calculating GDD based on minimum and maximum temperature. The easiest method is to average the daily maximum and minimum temperatures and subtract from-it the base temperature as follows:
Max
Temperature + Minimum Temperature | minus | Base
Temperature | = |
Daily GDD |
| 2 |
|
|
For each day that the average temperature is one degree above the base temperature, one degree-day accumulates. Depending on the species, the base temperature can vary. Cool weather organisms will have lower base temperatures while other types of organisms will have higher ones. For most situations though, a base temperature of 50°F is satisfactory. If a development prediction for a particular insect varies more than expected, using a lower base temperature could be necessary for that organism.
Some of the other methods used for calculating GDD are complicated. Forecaster, a computer program from the Department of Entomology at the University of Minnesota, calculates GDD using the sine method and can calculate the most appropriate base temperature for that species using daily minimum and maximum temperatures along with emergence information. Also, Forecaster can predict insect activity based on previous observed data along with normal and observed temperatures for your region. Biophenometers are instruments, which record the temperature every few minutes and accumulate the GDD as that portion of a 24-hour period. This is the most accurate way of calculating GDD but it does not retain minimum and maximum temperature data which would be important to calculate the most appropriate base temperature to use. When using GDD from other sources it is important to determine the method and 'base temperature used for calculations.
Minimum/maximum temperatures can be acquired from newspapers, TV, weather reporting services, etc. Ideally, taking temperature readings from your property or area would be most accurate. If taking temperature readings on your property, several things should be considered. Minimum/maximum thermometers or any other devices used to detect temperature should be placed in a well ventilated, white shelter. Shelters should be placed in the full sun, ideally in areas free from excessive radiant heat from driveways, sidewalks, buildings, etc. Call your local Cooperative Extension for details on constructing a weather shelter.
Each day between March 1 and September 30 the daily GDD are calculated and totaled to determine the accumulated GDD (Table 1). If the average temperature is below the base temperature, which would return a negative daily GDD number, just enter zero (0) for the day. For the system to work you must collect the maximum and minimum temperature every day. Early in the season the numbers will accumulate slowly but as the average daily temperature increases the GDD will accumulate faster.
The GDD for insects are listed in Table 2. The time for pest control is expressed in a range of numbers beginning with first perceptible feeding injury and continuing until approximately the end of the insects' plant injury cycle. In other cases, ranges indicate optimum control periods. If more than one range of numbers appears, this is indicative of multiple generations and/or control- periods in an insect's life cycle. For example, Cooley spruce gall adelgid GDD are 22 - 92 and 1500 - 1775. This means the insect is active starting around 22 GDD and control measures can be implemented until approximately 92 GDD. Cooley spruce gall adelgid also has another period during the growing season when controls may be effective and necessary. This period is between 1500 and 1775 GDD.
GDD should be used as a guide as to determine when pest control actions should be utilized. Monitoring should be employed at some point before the GDD number is reached to determine if a pest problem exists and if some type of control is warranted. Decisions as to whether or not to use control measures will be dependent upon such things as the level of damage or potential damage and the life stage of the insect. Treatment, if decided upon, would be timed to correspond with some point within the GDD range.
Table 1. Example temperature data and calculated growing degree-days (GDD) and accumulated GDD (AGDD).
| Date |
Min | Max | Avg. |
GDD | AGDD |
| March 1 |
30 | 40 |
35 | 0¹ | 0 |
|
March 2 | 40 |
65 | 52.5 | 2.5 |
2.5 |
| March 3 | 50 |
65 | 57.5 | 7.5 |
10 |
| March 4 | 40 |
60 | 0 |
0 | 10 |
¹Negative numbers are never added, enter zero.
Temperature data to calculate GDD are being collected at various locations on Long Island. GDD accumulations for the corresponding locations are currently available on Cornell Cooperative Extension - Suffolk County website which is http://www.cce.cornell.edu/suffolk/gdd/gddreport.htm. Accumulated GDD are available from March 1 to September 30.
Table 2. Alphabetical listing of common names, scientific names, stage of insect, and growing degree-days (GDD) of insects affecting ornamental plants. This information was provided by Dr. Warren T. Johnson, Department of Entomology, Cornell University.
|
GDD |
GDD | ||||
|
Common Name |
Scientific Name |
Dormant2 |
Stage3 |
Min4 |
Max |
|
Aphids |
Several species | * | E |
7 |
120 |
|
Arborvitae leafminers |
Argyresthia spp. |
A |
533 |
700 | |
| Azalea leafminer |
Caloptilia azaleela |
L |
450 |
800 | |
|
Azalea whitefly |
Pealius azaleae |
N,A |
448 |
700 | |
|
Bagworm |
Thyridopteryx ephemeraeformis |
L | 600 | 900 | |
| Balsam gall midge |
Paradiplosis tumifex |
L | 120 | 290 | |
| Balsam twig aphid |
Mindarus abietinus |
* |
N | 58 | 120 |
| Beech Scale |
Cryptococcus fagisuga |
* | |||
| Birch leafminer |
Fenusa pusilla |
L |
190 |
290 | |
|
Birch skeletonizer |
Buccalatrix canadensisella |
L | 1266 | 1580 | |
| Boxwood leafminer |
Monarthropalpus buxi |
L | 448 | 700 | |
| Boxwood mite |
Eurytetranychus buxi |
* |
E,N,LA | 245 | 600 |
| Boxwood psyllid |
Psylla buxi |
A | 290 | 440 | |
| Bronze birch borer |
Agrilus anxius |
L | 440 | 800 | |
| Cankerworms (inch worms) |
L | 148 | 290 | ||
| Cooley spruce gall adelgid | Adelges cooleyi -
on Fir |
|
N,A |
1500 |
1775 |
| Cottony maple scale |
Pulvinaria innumerabilis |
* |
C | 802 | 1265 |
| Cottony taxus scale |
Pulvinaria floccifera |
|
C |
802 |
1388 |
|
Dogwood borer |
Synanthedon scitula |
A | 148 | 700 | |
| Eastern tent caterpillar |
Malacosma americanum |
L | 90 | 190 | |
| Elm bark beetles |
Scolytus sp., Hylurgopinus sp. |
A | 7 | 120 | |
| Elm leaf beetle |
Xanthogaleruca luteola |
L | 363 | 912 | |
| Elongate hemlock scale |
Fiorinia externa |
|
A |
2515 |
2625 |
|
Euonymus scale |
Unaspis euonymi |
|
C | 533 | 820
|
|
European fruit lecanium |
Parthenolecanium corni |
|
C |
1266 |
1645 |
|
European pine shoot moth |
Rhyacionia buoliana |
L | 34 | 121 | |
| European red mite |
Panonychus ulmi |
|
E,L,N,A |
240 |
810 |
|
Fall webworm |
Hyphantria cunea |
E | 1266 | 1795 | |
| Fletcher scale |
Parthenolecanium fletcheri |
|
C |
1029 |
1388 |
|
Fruitree leafroller |
Archips argyrospilus |
L | 300 | 318 | |
| Gypsy moth |
Lymantria dispar |
L | 90 | 448 | |
| Hemlock eriophyid mite |
Nalepella tsugifolia |
* |
E,L,N,A | 7 | 22 |
| Hemlock scale |
Abgrallaspis ithacae |
|
C |
1388 |
2154 |
|
Hemlock woolly adelgid |
Adelges tsugae |
* | |||
| Hickory leaf stem gall phyllo. | Phylloxera carvaecaulis |
N | 91 | 246 | |
| Holly leafminer (Leaf Tr't) | Phytomyza ilicis |
L,A | 246 | 448 | |
| Holly leafminer (Soil Tr't) | Phytomyza ilicis |
L | 192 | 290 | |
| Honeylocust mite |
Eotetranychus multidigituli |
* |
E,L,N,A | 912 | 1514 |
| Honeylocust plant bug |
Diaphnocoris chlorionis |
N,A | 58 | 246 | |
| Honeylocust pod gall midge | Dasineura gleditschiae |
L | 192 | 229 | |
| Honeysuckle aphid |
Hyadophis tataricae |
* | |||
| Imported willow leaf beetle | Plagiodera versicolora |
L,A | 192 | 448 | |
| Japanese beetle |
Popillia japonica |
A | 1029 | 2154 | |
| Juniper scale |
Carulaspis juniperi |
|
C |
707 |
1260 |
|
Juniper webworm |
Dichomeris marginella |
L | 1645 | 1917 | |
| Kermes oak scales |
Allokermes spp. |
|
C |
298 |
912 |
|
Lace bugs |
Corythuca spp |
N,A |
239 |
363 | |
| Leafhoppers |
Several species |
N,A |
618 |
802 | |
|
Lilac borer |
Podosesia syringae |
L | 148 | 299 | |
| Locust borer |
Magacyllene robiniae |
L,A | 2271 | 2805 | |
| Locust leafminer |
Odontota dorsalis |
A |
298 |
533 | |
|
Magnolia scale |
Neolecanium cornuparvum |
|
C | 246 | 448 |
|
Maple bladdergall mite |
Vasates quadripedes |
|
N,A | 98 | 155 |
| Mountain ash sawfly | Pristiphora geniculata |
L | 448 | 707 | |
| Nantucket pine tip moth |
Rhyacionia frustrana |
L |
121 |
448 | |
|
Native holly leafminer |
Phytomyza iliciola |
L |
192 |
298 | |
|
Oak blotch leafminers |
Cameraria spp., Tischeria spp. |
L | 533 | 912 | |
| Oak leaftier |
Croesia semipurpurana |
L | 7 | 35 | |
| Oak skeletonizer |
Bucculatrix ainsliella |
L |
448 |
707 | |
|
Oak spider mite |
Oligonychus bicolor |
* |
E,L,N,A | 802 | 1266 |
| Oystershell scale |
Lepidosaphes ulmi |
|
C |
363 |
707 |
|
Pales weevil |
Hylobius pales |
A | 7 | 121 | |
| Peachtree borer |
Synanthedon exitiosa |
L | 1500 | 1800 | |
| Pine bark adelgid |
Pineus strobi |
|
E,C,A |
58 |
618 |
|
Pine eriophyid mites |
Eriophyidae |
* |
E,L,N,A | 298 | 533 |
| Pine needle miner |
Exoteleia pinifoliella |
L,A | 448 | 802 | |
| Pine needle scale |
Chionaspis pinifoliae |
|
C |
1388 |
1917 |
|
Pine root collar weevil |
Hylobius radicis |
L,A | 618 | 912 | |
| Pine sawflies |
Diprion spp., Neodiprion spp. |
L | 246 | 1388 | |
| Pine tube moth |
Argyrotaenia pinatubana |
L |
91 |
246 | |
|
Pine webworm |
Tetralopha robustella |
L | 802 | 2000 | |
| Pitch twig moth |
Petrova comstockiana |
L | 298 | 707 | |
| Privit rust mite |
Aculus ligustri |
|
E,L,N,A |
1266 |
1515 |
|
Privit thrips |
Dendrothrips ornatus |
L,A |
192 |
618 | |
|
Rhododendron borer |
Synanthedon rhododendri |
L | 533 | 707 | |
| Rhododendron gall midge |
Clinodiplosis rhododendri |
L | 192 | 363 | |
| Rhododendron stem borer |
Oberea myops |
A | 298 | 802 | |
| Rose chafer |
Macrodactylus subspinosus |
A | 448 | 802 | |
| Roundheaded apple tree borer | Saperda candida |
A |
802 |
1029 | |
|
Rust mites |
Eriophyidae |
| E,L,N,A | 1644 | 2033 |
| Sassafrass weevil | Odontopus calceatus |
L,A | 363 | 618 | |
| Snowball aphid |
Neoceruraphis viburnicola |
N,A | 148 | 298 | |
| Southern red mite |
Oligonychus ilicis |
|
E,L,N,A |
246 |
363 |
|
Spruce needle miner |
Endothenia albolineane |
L | 448 | 802 | |
| Spruce spider mite |
Oligonychus ununguis |
|
E,L,N,A |
192 |
363 |
|
Sugar maple borer |
Glycobius speciosus |
A | 2032 | 2375 | |
| Taxus bud mite |
Cedidophyopsis psilaspis |
E,L,N,A |
148 |
448 | |
|
Taxus mealybug |
Dysmicoccus wistariae |
|
N | 246 | 618 |
| Tuliptree aphid | Macrosiphum liriodendri |
N |
1151 |
1514 | |
|
Tuliptree scale |
Toumeyella liriodendri |
|
C | 2032 | 2629 |
| Tussock moths | Halysidota tesselaris |
L |
192 |
298 | |
|
Towbanded Japanese weevil |
Callirhopalus bifasciatus |
A | 1644 | 2271 | |
| Twospotted spider mite |
Tetranychus urticae |
* |
E,L,N,A | 363 | 618 |
| White pine aphid |
Cinara strobi |
|
A |
1917 |
2271 |
|
White pine weevil |
Pissodes strobi |
A | 7 | 58 | |
| White prunicola scale |
Pseudaulacaspis prinicola |
* |
C | 707 | 1151 |
| Willow twig aphids |
Lachnus spp. |
N,A | 1644 | 2271 | |
| Woolly beech aphids |
Grylloprociphilus imbricator |
N,A |
363 |
707 | |
|
Woolly elm aphid |
Erisoma americanum |
N | 121 | 246 | |
| Zimmerman pine moth |
Dioryctria zimmermani |
L |
121 |
246 |
¹If more than one range of numbers appears, this is indicative of multiple generations and/or control periods in an insect's life cycle.
²If an asterisk (*) appears in this column, then a treatment with horticultural oil at a 3% application rate during the dormant season (before bud break) would be appropriate providing a pest problem is present. Some plant species may be sensitive to oil. Check the label for any precautions. For more information on horticultural oil see the most current copy of Pest Management Guidelines for Commercial Production and Maintenance of Trees and Shrubs, contact our office for information on ordering our leaflet titled Horticultural Oils. This information is also available on our web site.
³A = adult; C = crawler; E = egg; L = larvae; N = nymph.
4If plant growth (indicated by bug swell) has begun and a horticultural oil is to be used then the summer application rate of 1% to 2% oil (use 1% rate for conifers) is recommended. Apply the same precautions as in footnote 2.
slight revision 7/2004
Tom Kowalsick and Scott Clark, Cornell Cooperative Extension
For more information contact: Tom Kowalsick, Extension Educator - Horticulture, CCE - Suffolk County
August 2004
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