Using Growing Degree-Days for Insect Pest Management

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
N,A

7
135

120
250

Arborvitae leafminers

Argyresthia spp.


Argyresthia spp. (Soil Tr't)

 

A
L
L
L

533
150
1800
1700

700
260
2200
2100

Azalea leafminer

Caloptilia azaleela

 

L
L

450
1260

800
1500

Azalea whitefly

Pealius azaleae

 

N,A
N,A
N,A

448
1250
2032

700
1500
2150

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
L

190
530

290
700

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

Adelges cooleyi -
on Spruce


*

*

N,A
N,A
N,A
N,A

1500
120
1500
22

1775
190
1775
92

Cottony maple scale

Pulvinaria innumerabilis

*

C

802

1265

Cottony taxus scale

Pulvinaria floccifera


*

C
N

802
7

1388
91

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
C
A

2515
360
7

2625
700
120

Euonymus scale

Unaspis euonymi


*

C
N

533
35

820
120

European fruit lecanium

Parthenolecanium corni


*

C
N

1266
35

1645
145

European pine shoot moth

Rhyacionia buoliana

 

L

34

121

European red mite

Panonychus ulmi


*

E,L,N,A
E

240
7

810
58

Fall webworm

Hyphantria cunea

 

E

1266

1795

Fletcher scale

Parthenolecanium fletcheri



*

C
C
N

1029
2515
35

1388
2800
148

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
N

1388
35

2154
121

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
N

707
22

1260
148

Juniper webworm

Dichomeris marginella

 

L

1645

1917

Kermes oak scales

Allokermes spp.


*

C
N

298
7

912
91

Lace bugs

Corythuca spp

Stephanitis spp.

 

N,A
N,A
N,A
N,A

239
1266
448
802

363
1544
618
1029

Leafhoppers

Several species

 

N,A
N,A
N,A

618
1266
1917

802
1514
2155

Lilac borer

Podosesia syringae

 

L

148

299

Locust borer

Magacyllene robiniae

 

L,A

2271

2805

Locust leafminer

Odontota dorsalis

 

A
A

298
1029

533
1388

Magnolia scale

Neolecanium cornuparvum



*

C
C
N

246
2155
22

448
2800
91

Maple bladdergall mite

Vasates quadripedes


*

N,A
N,A

98
58

155
148

Mountain ash sawfly

Pristiphora geniculata

 

L

448

707

Nantucket pine tip moth

Rhyacionia frustrana

 

L
L

121
1514

448
1917

Native holly leafminer

Phytomyza iliciola

 

L
L

192
1029

298
1266

Oak blotch leafminers

Cameraria spp., Tischeria spp.

 

L

533

912

Oak leaftier

Croesia semipurpurana

 

L

7

35

Oak skeletonizer

Bucculatrix ainsliella

 

L
L

448
1798

707
2155

Oak spider mite

Oligonychus bicolor

*
*

E,L,N,A

802

1266

Oystershell scale

Lepidosaphes ulmi


*

C
E

363
7

707
91

Pales weevil

Hylobius pales

 

A

7

121

Peachtree borer

Synanthedon exitiosa

 

L

1500

1800

Pine bark adelgid

Pineus strobi


*

E,C,A
E,C,A

58
22

618
58

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
C

1388
298

1917
448

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
L

91
1151

246
1514

Pine webworm

Tetralopha robustella

 

L

802

2000

Pitch twig moth

Petrova comstockiana

 

L

298

707

Privit rust mite

Aculus ligustri


*

E,L,N,A
E,L,N,A

1266
298

1515
802

Privit thrips

Dendrothrips ornatus

 

L,A
L,A

192
1029

618
1266

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
A

802
1514

1029
1798

Rust mites

Eriophyidae


*

E,L,N,A
E,L,N,A

1644
533

2033
802

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
E,L,N,A
E

246
618
7

363
802
91

Spruce needle miner

Endothenia albolineane

 

L

448

802

Spruce spider mite

Oligonychus ununguis



*

E,L,N,A
E,L,N,A
E,L

192
2375
7

363
2806
121

Sugar maple borer

Glycobius speciosus

 

A

2032

2375

Taxus bud mite

Cedidophyopsis psilaspis

 

E,L,N,A
E,L,N,A

148
707

448
912

Taxus mealybug

Dysmicoccus wistariae


*

N
N

246
7

618
91

Tuliptree aphid

Macrosiphum liriodendri

 

N
N

1151
1917

1514
2033

Tuliptree scale

Toumeyella liriodendri


*

C
N

2032
12

2629
121

Tussock moths

Halysidota tesselaris

 

L
L

192
2145

298
2516

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
N,A
TE

1917
121
7

2271
246
121

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
Phyllaphis fagi

 

N,A
N,A

363
363

707
707

Woolly elm aphid

Erisoma americanum

 

N

121

246

Zimmerman pine moth

Dioryctria zimmermani

 

L
TL

121
1917

246
2154

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

Horticulture Leaflets Online

August 2004