HRGSA BMP Project / Areawide II Handbook

 

Phenology Models for Orchard Pest Management

 
 

 

 

 


What are Phenology Models & Why Use Them?

 

Pest and disease phenology models are tools that can help you decide if and when to apply pesticides.  They can help you:

 

s         Time sprays for maximum efficacy

s         Eliminate unnecessary sprays

s         Reduce overall pesticide loading of the environment

s         Reduce potential for resistance development

 

By using these models, you may realize savings that result from lower material and application costs.  Also, your returns may be increased from better packouts.  It should be emphasized that models are tools that are used in the overall decision-making process, but are not intended to be relied on exclusively.  You need to use common sense as well.

 

Pest and disease models important for tree fruit growers in the Mid-Columbia:

 

s         Codling moth development model:  a degree-day model that can help you time spray applications.  There are similar models for obliquebanded leafroller and San Jose scale development.

s         Cougarblight fire blight risk calculator:  estimates the potential for the build up of fire blight bacteria in blossoms, and can help you decide if and when to spray.

s         Pear scab infection period model helps determine when the conditions necessary for scab infections have occurred, again helping you decide if and when to spray.

s         Pear and apple scab infection season models tell you when ascospores are no longer being produced and the danger of primary scab infections has past so you can decide not to spray even if it rains.

 

Models are a way of simulating the developmental events in the life cycle of an organism (pest or disease). Some are relatively simple; others may involve the use of complex mathematical equations.  Fortunately, they are often integrated into a look up table or a computer program that is convenient to use.  Because the rate of development of pests and diseases is primarily driven by temperature, it is necessary to have weather data available for calculating the models.  For some diseases, such as pear and apple scab, that depend on water for spore dispersal or germination, it is also necessary to have data on leaf or blossom wetness.  You may collect your own weather data and calculate the models using look-up tables.  Using the web-based tools that are demonstrated below provides the following advantages:

 

s         access to weather data that is collected automatically

s         simplified data management and model calculations

s         access to summaries that have been completed for you

s         access to e-mail alerts on critical events in pest or disease development

 

Accessing Phenology Models for Hood River Valley Orchards

Hood River Valley fruit growers are fortunate to have access to near-real time data from a network of weather stations with locations in most of the different districts of the valley.  The MCAREC Weather Station Network was established in the mid-nineties by former OSU Extension Agent Franz Niederholzer with funding from a USDA-SARE grant.  Maintenance is carried out by Janet Turner, with support from the Hood River Grower Shipper Association.  Additionally, there are four US Bureau of Reclamation AgriMet weather stations located in the valley.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 


Every 15 minutes data are sent to a receiver at the MCAREC.  There, the data are downloaded to a computer that transfers the data to the Integrated Plant Protection Center (IPPC) at OSU in Corvallis.  At the IPPC, the data are automatically processed and made available through the internet.  The system programming and maintenance are done at the IPPC by Leonard Coop.

Currently, there are four web-based resources to be aware of:

s         MCAREC Pest & Disease Model Summaries

s         Oregon Fruit Crops Pest Alert System

s         Online IPM Weather Data for Hood River Valley

s         Online Phenology and Degree-day Models

The key features and access to each are described below. Please note that during the 2004 growing season a new weather station network and web interface, the IFPNet, will be expanded from Wasco County into the Hood River Valley.  Future revisions of the Handbook will include information on accessing and using the IFPNet.

MCAREC Pest & Disease Model Summaries

The MCAREC Pest & Disease Model Summaries are periodically updated summaries of relevant pest and disease models using the weather data from the seven weather stations in the MCAREC Network.  They are posted on the MCAREC website.  This webpage also includes links to development tables for each of these pests as well as a list of biofix dates for each model and location.  It is important to know that the biofix dates for most of these models are estimated.

To access these summaries, go to the following website: http://oregonstate.edu/dept/mcarec/pestmodel_dir.html.  You will see a list of summaries.  Click on the most recent date to see the most current summary.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 


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Oregon Fruit Crops Pest Alert System  http://ipmnet.bcc.orst.edu/pestalert

The Oregon Fruit Crop Pest Alert System (ORFCPAS) was designed to facilitate the exchange of pest management information among growers, field reps, and extension and research personnel.  The system integrates email, World Wide Web, and database systems.

The main feature of the system is the delivery of near-real time pest warnings and management information.  For example, you could receive immediate notices on pear psylla egg laying, codling moth biofix, or the occurrence of a scab infection period without the delay of other notification systems.  In addition to the email pest alerts, there are links to pest management related research reports, as well as other tree fruit and pest management web sites.

Use of this system is free of charge and is available to anyone who has Internet access.  In order to receive pest alerts by email, you first need to register by entering your name and email address.  You will view the messages on the ORFCPAS website.  You can customize the system to your specific interests by choosing or subscribing to receive notifications for different crops.  Once subscribed, users are alerted as new messages are posted. Registered users can enter their location-specific pest monitoring data over the web for distribution through the system.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 


To register to use the system:

1.      go to the homepage at: http://ipmnet.bcc.orst.edu/pestalert/index.cfm 

2.      select “join” (located in the Login & search menu bar).

3.      fill in your name, e-mail address, user name, and password; then click on “OK.”

 

 

 

Once you have registered, you may select the crops you will receive pest alerts for:

1.      On the homepage, click on “Options” in the Features menu bar.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 


2.      Check the boxes for the crops you are interested in.

3.      Check the E-mail Notification box.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 


4.      The last configuration step for receiving e-mail alerts is to subscribe to topics within each crop.  This is done on the homepage by pointing and clicking on the circle in front of the topics of interest.  When selected the circle will appear orange.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 


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Online IPM Weather Data for Hood River Valley  http://ipm-dd.orst.edu/hr/

This website provides access to the current 15 minute weather observations for each of the stations in the MCAREC Network.  It also has several other features.  The main features are near-real-time updates on the status of pear scab infection periods.

 

http://ipm-dd.orst.edu/hr/

 
 

 

 

 

 

 

 

 

 

 

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The pear scab infection period model is a degree-hour adaptation of the Spotts Table that uses temperature and leaf wetness data to calculate when environmental conditions required for a pear infection period are occurring.  To check for the current status of infection periods, click on “today” for the appropriate weather station.  If you want to see if there has been an infection period during the preceding 5 days, choose from one of the “today-x’’ selections.

 

You will find background information on the model by clicking on “pear scab model test”.  You should read the disclaimer by clicking on “pear scab model test” and know that this model is still being tested   The new model is similar to the Cougarblight model in that it calculates degree hours to determine if an infection period has occurred.  It uses a leaf wetness reading of two as the threshold for leaf wetness. 

 

Output page for pear scab infection season.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 


Online Phenology and Degree-day Models  http://ippc2.orst.edu/cgi-bin/ddmodel.pl

This website allows you to choose from several different phenology models and set your own parameters for running them.  Additionally, you may upload your own weather data and use forecasted conditions or historical weather averages to extend the model predictions later into the season.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 


Model output includes a summary of model input parameters, a table of key events in the development and control of the pest, a table listing daily maximum and minimum temperatures, precipitation, degree-days, and total degree-days accumulated since the biofix.  Pest development events relevant to control are indicated.

If you have any additional questions about these resources or how to access or use any of the models, please contact Steve Castagnoli at OSU Extension Service (541) 386-3343.