Publication 360, Fruit Production Recommendations: Thresholds


Excerpt from Publication 360, Fruit Production Recommendations 2010-11,
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Cover of Publication 360, Fruit Production RecommendationsTable of Contents

  1. Introduction (PDF 121 kB)
  2. Thresholds
  3. Degree-day modelling and determining a biofix
  4. Other topics in Pest Management
  5. Chapter 2 - Pest Management - PDF 240 kb
  6. Related Links

Introduction to Thresholds

An IPM program uses control guidelines or thresholds to decide when to apply pesticides to prevent economic loss. Some damage to the crop is tolerated as long as this damage does not exceed the cost of the control.

For insect pests, thresholds are usually based on the presence of the pest at certain levels. Thresholds for direct pests, which feed on fruit and have an immediate effect on fruit quality, are generally lower than thresholds for indirect pests that feed on leaves, stems or roots.

Disease guidelines may be based on damage potential. This is estimated with weather models, crop tolerance, stage of crop development and field observations.

Thresholds have not been developed or validated for all pests in Ontario. Even established thresholds require adjustment for different varieties, markets and crop vigour. Established thresholds may also require revision to optimize the use of new, reduced-risk products.

Use the thresholds in Table 2-2. Examples of Thresholds Used for Fruit Pests in Ontario, together with information on sampling techniques and sample size, crop growth stage, spray times and pesticide characteristics discussed in detail in each crop chapter.

Table 2-2. Examples of Thresholds Used for Fruit Pests in Ontario (PDF 117 kb)

Crop

Pest

Spray Timing

Minimum Sample Size

Threshold

Comments

Strawberries

Tarnished plant bug

Bloom-green fruit

20 flower and fruit clusters

Approx. 0.25 nymphs per cluster

Sequential sampling methods are preferred. See Tarnished Plant Bug on the OMAFRA website at
www.ontario.ca/cropipm.

Strawberries

Clipper weevil

Before 1st bloom

5 locations

13 clipped buds per 2 ft2 row

Sample outer rows.

Strawberries

Two-spotted spider mite

Before harvest, or July-August

50 leaflets

Low threshold:
5 mites per leaflet

High threshold: 20 mites per leaflet

Use low threshold on sensitive varieties before bloom or when using beneficial mites for control.

Use high threshold after harvest.

Raspberries

Raspberry crown borer

October, or when primocanes begin to grow in spring

Entire block

5% of canes with die back

 

Apples

Mullein bug

Petal fall to calyx

25 taps per block

7 to 9 nymphs per 25 taps

Sample susceptible varieties such as Red Delicious and Northern Spy.

Apples

Spotted tentiform leafminer

Pink to calyx

 

50 spurs

3 to 5 eggs per spur

Apply insecticide at first egg hatch.

Grapes

Potato leafhopper

Early summer after surrounding alfalfa hay is cut.

Entire block

In established blocks: 25% or more of young leaves with symptoms
In 1st or 2nd year plantings: 10% of young leaves with symptoms

Apply insecticide when most of the population is in the nymphal stage.
Symptoms include yellowing along the leaf edge and leaf curling.


Degree-day modelling and determining a biofix

Temperature, light and moisture affect the growth and development of plants and their pests. Of these, temperature is the most important factor. Insect and mite development is closely related to the daily accumulation of heat. These pests need a certain amount of heat, or energy, to move to the next development stage.

The amount of heat required for insect and mite development remains constant from year to year, but depending on weather conditions, the amount of actual time can vary. Insects and mites have a minimum and maximum base temperature below or above which development does not occur. These base temperatures are different for each organism.

Growing Degree-Days (GDD) are used to estimate the growth and development of pests in the growing season (see Table 2-3. Examples of Degree-Day Models Used in Fruit Crops, page 10). Events such as egg-laying, egg hatch, movement of crawlers or the occurrence of disease infection can be predicted and used to schedule inspection and spray programs. For example, degree-day calculations can predict the first hatch of codling moth eggs or the percentage of apple scab ascospores that have matured in the orchard.

There are several methods used to calculate GDD, but the method commonly used with simple monitoring equipment is the averaging method or "max/min" method. GDD for a given organism are calculated as follows:

GDD = ((Daily max°C) + (Daily min°C) ÷ 2) - minimum base temperature

Growing Degree-Days are accumulated daily until a pest-specific total is reached. The averaging method works well in most years. However, the actual GDD accumulations may be underestimated in extended periods of cool weather or overestimated in hot weather.

An example of the averaging method on a relatively cool spring day:

For a given pest:

Lower base temperature = 10°C
Upper base temperature = 35°C

On a given day:

Minimum temperature = 5°C
Maximum temperature = 15°C
Growing degree-days (GDD) for that day is = ((15+5) ÷ 2) - 10 = 0


Note that the maximum temperature was higher than the base temperature for the insect, so growth and development were possible for at least part of the day. However, no GDD were accumulated. This illustrates how cool temperatures, especially over several days, could lead to an underestimation of insect development.

GDD are either accumulated from a set start date, such as April 1, or from a specific event known as a biofix. A common biofix used for insects is the first sustained catch in pheromone traps.

Using a biofix provides predictions that are more accurate and requires tracking temperatures over a shorter period..

There are several limitations to degree-days models:

  • Factors such as humidity, light intensity and rainfall also affect pest development. As a result, GDD predictions are only estimates of pest development. Verify these predictions with field observations.
  • Temperatures used to determine GDD must represent the environment where organisms develop. Use weather data collected from within a mile or less of the actual orchard or field being monitored.
  • GDD have been developed and validated for only a few fruit pests in Ontario.

Table 2-3. Examples of Degree-Day Models Used in Fruit Crops (PDF 106 kb)

Pest

Model

Tarnished plant bug (strawberries) · Degree-days are used to predict first nymphs in strawberries
· 30-40 GDD (base 12.1°C) after April 1
Codling moth (apples) · Degree-days are used to predict first egg hatch
· 139 GDD ( base 10°C) after biofix (first sustained moth catch)


For a list of crop consultants that provide monitoring services, contact OMAFRA’s Agricultural Contact Centre at 1-877-424-1300.



For more information:
Toll Free: 1-877-424-1300
Local: (519) 826-4047
E-mail: ag.info.omafra@ontario.ca
Author: OMAFRA Staff
Creation Date: 25 June 2007
Last Reviewed: 30 June 2010