1 / 45

Models for Pesticide Selection

This article discusses various integrated models for pesticide selection and management, including criteria such as efficacy, economics, and environmental impact. It also explores different data sources and tools for assessing water impact and environmental risks.

andradej
Download Presentation

Models for Pesticide Selection

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Models for Pesticide Selection Jennifer Grant NYS IPM Program Cornell University http://www.nysipm.cornell.edu/

  2. Pesticide selection criteria:the 3 E’s • Efficacy • Economics • Environmental & health impact

  3. Data Sources • MSDS Sheet • Label • Cornell Pesticide Management and Education Program, PIMS site • EPA pesticide fact sheets • EXTOXNET pesticide summaries • Pesticide Action Network (PAN) database • Turf Pesticides and Cancer Risk Database

  4. Water impact models for Agriculture • Chemical and physical properties of pesticides that affect environmental fate (e.g. solubility, soil adsorption) • Agricultural crops (row crops with some bare soil) • Physical properties of soils Based on:

  5. Water impact models for Agriculture • WinPST (USDA National Resource Conservation Service’s Windows Pesticide Screening Tool) • GLEAMS (Groundwater Loading Effects of Agricultural Management) • NAPRA (National Pesticide Risk Analysis) • GUS (Groundwater Ubiquity Source) • SPISP (Soil Pesticide Interaction Screening Procedure)

  6. Water impact models for Turfgrass • TurfPQ (model for runoff from turfgrass, Haith, 2001) • estimates pesticide in runoff events from turf • Accounts for thatch • Uses Carbon content, OM and bulk density specific to turf • Useful for water quality studies and environmental assessments

  7. Model Complexity • Ecological impacts (e.g. toxicity to fish, other non-targets) • Human health impacts • Site specificity (e.g. soil type, slope) • Management influences

  8. NRCS Three-Tiered Pesticide Environmental Risk Screening • Tier 1 - SPISP • Tier 2 = NAPRA • Utilizes GLEAMS • environmental benefits of management alternatives • Regional climatic conditions • Results consider both the off-site movement of pesticide and its toxicity to non-target species • Tier 3 - NAPRA • Site specific • Generic inputs are replaced by individual producers' filing records and field measured soils data

  9. Integrated models for selection Decision Tool for Integrated Pesticide Selection and Management (IATP) • Minnesota corn & soybeans • Water contamination focus (WinPST) • Human exposure (drinking water) • Fish as non-target organism

  10. Integrated models for selection Environmental EIL • Assigns an “environmental cost” to pest management, based on opinion surveys (contingent valuation) • Largely theoretical, but assigns values (Higley & Wintersteen, 1992)

  11. Risk/Category and Environmental Cost, Environmental EIL

  12. Integrated models for selection Environmental Yardstick(Netherlands) • Values risk as environmental impact points • Based on • Acute risk to water organisms • Risk of groundwater contamination • Acute and chronic risks to soil organisms • Provides numerical value for a pesticide applied at a specific rate • Expressed as environmental impact points (EIP) (www.agralin.nl/milieumeetlat; Reus and Pak, 1993; Reus and Leendertse, 2000)

  13. Integrated models for selection Environmental Yardstick(cont’d) Currently used in the Netherlands • Farm & Greenhouse decision support tool • Environmental performance incentive • Standards for eco-labels • Policy tool (www.agralin.nl/milieumeetlat; Reus and Pak, 1993; Reus and Leendertse, 2000)

  14. Integrated models for selection Environmental Impact Quotient (EIQ) • Original model published in 1992 (Kovach et al.) for food crops • Three components: worker, consumer, ecological • Provides numerical value for a pesticide, applied at a specific rate • Can use to select pesticides or compare systems

  15. EIQ = {C x [DT x 5 + (DT x P)] + [(C x ((S + P)/2) x SY) + L] + [(F x R) + (D x ((S + P)/2) x 3) + (Z x P x 3) + (B x P x 5)]} ÷ 3

  16. EIQ • Farm worker: Acute and chronic toxicity to humans. • Consumer: Food residues, chronic toxicity to humans, leachability to groundwater. • Ecological: Aquatic and terrestrial non-target toxicity (fish, bees), leachability, persistence.

  17. EIQ • Risk = toxicity x potential for exposure • E.g. effect on fish depends on toxicity to fish, and likelihood of fish encountering pesticide. • Persistence • Surface loss potential

  18. Farm worker Component Applicator+ Picker (C * DT * 5)+ (C * DT * P) Dermal Toxicity Chronic Toxicity Plant surface residue half-life

  19. Chronic Toxicity • Average of Reproductive, Teratogenic, Mutagenic, & Oncogenic effects • Low value if no evidence of carcinogenicity • High value if probable human carcinogen

  20. Dermal Toxicity • Dermal LD50 rabbits • Dermal LD50 rats 1 = > 2000 mg/kg 3 = 200 - 2000 mg/kg 5 = 0 - 200 mg/kg

  21. Plant Surface Residue 1 = < 2 weeks 3 = 2-4 weeks 5 = > 4 weeks Herbicides Pre-emergent = 1 Post-emergent = 3

  22. Consumer Component Food residue+ Groundwater (C * ((S + P)/2) * SY)+ (L) Soil half-life Plant half-life Mode of Action: Systemic or non Leaching potential Chronic Toxicity

  23. Exposure Persistence • Plant half life • Soil half life

  24. Ecological Component Fish + Bird + Bee + Beneficials Each organism X potential for exposure

  25. Fish toxicity (F) Surface Loss Potential (R) Bird Toxicity (D) Soil half life (S) Plant surface half life (P) Bee Toxicity (Z) Beneficial Arthropod toxicity (B) Ecological component = [(F x R) + (D x ((S + P)/2) x 3) + (Z x P x 3) + (B x P x 5)]

  26. Beneficial arthropod impact • SELCTV database on 600 chemicals, 400 natural enemies (Oregon State Univ., Theiling and Croft, 1988) • Data generated more recently --standardized on 5 natural enemies (insects) and 3 microbials • (Cornell, Petzoldt & Kovach, 2002)

  27. EIQ = {C x [DT x 5 + (DT x P)] + [(C x ((S + P)/2) x SY) + L] + [(F x R) + (D x ((S + P)/2) x 3) + (Z x P x 3) + (B x P x 5)]} ÷ 3

  28. The poison is in the dose!

  29. The poison is in the dose! An EIQ value must be multiplied by the rate it is applied. This yields a “field EIQ” that can be compared.

  30. EIQ as a Pesticide Selection Tool

  31. Insecticide Example

  32. Fungicide example

  33. Additional Considerations • Resistance management • Ease of application • Weather conditions • Availability of product • Availability of equipment

  34. EIQ for Comparing Management Strategies

  35. Conventional Red Delicious Material EIQ ai Apps Dosage Total Nova Captan Lorsban Lorsban Thiodan Guthion Cygon Omite Sevin Kelthane 65.3 16.2 35.0 35.0 34.0 26.3 49.6 27.5 21.7 26.1 .4 .5 .4 .5 .5 .35 .43 .68 .5 .35 4 6 1 2 1 2 3 2 1 1 0.3 3.0 1.5 3.0 3.0 1.5 2.0 2.0 1.0 4.5 31 24 21 105 51 14 128 75 11 41 Total field EIQ 501

  36. IPM Strategy, Red Delicious Apples Material EIQ ai Apps Dosage Total 13.6 10.5 1.4 19.1 17.5 Nova Captan Dipel Sevin Guthion 65.3 16.2 10.6 21.7 26.3 .4 .5 .06 .8 .35 4 1 3 1 2 .13 1.3 .73 1.1 .95 Total field EIQ 62.1

  37. IPM Strategy, Liberty Apples Material EIQ ai Apps Dosage Total Imidan 16.1 .5 3 1.5 36.2 Total field EIQ 36.2

  38. Organic Strategy, Red Delicious Apples Material EIQ ai Apps Dosage Total 997 47 1 Sulfur Rot/pyr Ryania 26.4 16.3 10.6 .9 .04 .001 7 6 1 6 12 58 Total field EIQ 1045

  39. SUMMARY Strategy Field EIQ 1045 501 62 36 Organic Conventional IPM IPM on Liberty

  40. Is the EIQ useful for Turf? • Toxicity and environmental fate characteristics of the pesticides are the same for ag. and turf • The arrangement of these data in the formula are similar to what would be appropriate for turfgrass • the EIQ and other quantitative models are the best we can do until there is a model specifically designed for turf

  41. Environmental Impact of Pesticide Applications, Bethpage Project, 2004, expressed as Field EIQ (Grant & Rossi 2006)

  42. EIQ Challenges • Standardization of data & data gaps • Weighting may not meet criteria of user • Not site specific

  43. Turfgrass EIQ • Adjust formula to better reflect turfgrass system • replace bee toxicity with earthworm toxicity • “User” for consumer (e.g. golfer) • Weight factors appropriately for turfgrass • Incorporate TurfPQ? • Include site specific information such as soil type and water proximity

  44. Pesticide selection criteria:the 3 E’s • Efficacy • Economics • Environmental & health impact

More Related