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Risk-based IPM ranking tools

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Title: Risk-based IPM ranking tools Author: IPM13 Last modified by: Amrita Batra Created Date: 2/27/2006 7:58:49 PM Document presentation format: On-screen Show (4:3) – PowerPoint PPT presentation

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Learn more at: https://www.canr.msu.edu
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Tags: ipm | based | ranking | risk | tools | unilever

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Title: Risk-based IPM ranking tools


1

www.ipminstitute.org/prime
  • Project Team
  • Chuck and Karen Benbrook, BCS-Ecologic
  • Paul Jepson, Michael Guzy, Kellie Vache, Oregon
    State University
  • Susan Kegley, Erin Conlisk, Pesticide Research
    Institute
  • Pierre Mineau, Environment Canada
  • Thomas Green, Wade Pronschinske, Amrita Batra,
    IPM Institute of North America
  • Marty Williams, Mark Cheplik, Waterborne
    Environmental
  • Scott Martin, University of Illinois
  • Jonathan Kaplan, Natural Resources Defense
    Council
  • NRCS Advisor Joe Bagdon
  • Funders
  • USDA NRCS Conservation Innovation Grant Program
  • Unilever
  • General Mills
  • US EPA Region V 

2
Specifications
  • Online and user friendly.
  • Comprehensive set of indices using best available
    science.
  • Based on real-life empirical data where possible.
  • e.g., probability of kill or of an unacceptable
    level of impact proportion of the overall
    breeding season when reproduction is impaired,
    etc.
  • Site-specific, field-level impacts with
    aggregation potential.
  • Use Pattern Adjustment Factors (UPAFs) account
    for agricultural variability and mitigation.
  • Sustainable financial plan to ensure continued
    functionality and up-to-date databases.

2
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4
Landscape Features Users create individual
sites for each orchard. Users save data for
individual blocks in the selected orchard.
5
Field Mapping Users map their block using Google
Earth. PRiME then automatically retrieves
site-specific soils data from NRCS. In addition
to mapping cropping areas, users map sensitive
areas, mitigation zones and/or areas at high risk
for runoff.
6
Pesticide Application Users use multiple search
options to select a formulated product, for e.g.,
Lorsban 50W.
Users enter pertinent use pattern information
for selected product.
7
Pesticide Management Scenarios Users create and
select a pesticide management scenario for
evaluation. Users enter amount of product
applied, acres treated and restricted entry
interval for selected product, Lorsban
50W. Users calculate risk for selected
product.
8
Risk Summary for Lorsban 50W
(Green Low risk Yellow Moderate risk Red High
risk)
9
Users can select the product, Lorsban 50W and
change the application rate to compare the risk
of Lorsban 50W at different application
rates. Risk Summary for Lorsban 50W applied at
4 lbs. per acre and 2 lbs. per acre.
10
Risk summary for Dithane DF, Kocide 2000 and
Lorsban 75WG.
(Green Low risk Yellow Moderate risk Red High
risk)
Insufficient data for risk calculation. FEH
Presumed low exposure and low hazard
11
Summary Output and Mitigation
PRiME will provide users with a risk summary
of the number of indices in the low, moderate and
high risk categories for each product.
Users may also be alerted to indices
demonstrating moderate and high risk ratings and
pathways of exposure for each product.
12
When risk is moderate to high, PRiME will suggest
mitigation measures including IPM practices and
links to technical resources. PRiME can then
recalculate risk comparing the effects of
hypothetical mitigation.
13
Program Evaluation
PRiME will display a summary showing the total
number of applications falling into each risk
category in a given year, allowing program
managers to report progress or compare program
participants.
14
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