Paraquat Dichloride (061601) and Paraquat (061603) Screening Level Usage Analysis (SLUA) Date: February 9, 2011

What is a Screening Level Usage Analysis (SLUA)?

 Available estimates of pesticide usage data for a particular active ingred ient that is used on agricultural crops in the United States.

 Pesticide usage data obtained from various sour ces. The data are then merged, averaged, and rounded so that the presented info rmation is not proprietary, busine ss confidential, or trade secret. What does it contain?

 Pesticide usage data for a single active ingredient only.

 Agricultural use sites (cr ops) that the pesticide is reported to be used on.

 Available pesticide usage informati on from U.S. states that produce 80% or more of a crop, in most cases, or less than 80%, in rare cases, depending on the scope of th e survey and available resources.

 Annual percent of crop treated (average & maximum) for each agricultural crop.

 Average annual pounds of the pesticide applied for each agricultural crop (i.e., for the states surveyed, not for the entire United States). What assumptions can I make about the reported data?

 Average pounds of active ingredient applied - Values are calculated by merging pesticide usage data sources together; averaging acr oss all observati ons, then rounding. Note: If the estimated value is less than 500, then that value is labeled <500. Estimated values between 500 & <1,000,000 are rounded to 1 significant digit. Estimated values of 1,000,000 or greater are rounded to 2 significant digits.)

 Average percent of crop treated - Values are calculated by me rging data sources together; averaging by year, averaging across all year s, & rounding to the nearest multiple of 5. Note: If the estimated value is less th an 2.5, then the value is l abeled <2.5. If the esti mated value is less than 1, then the value is labeled <1.

 Maximum percent of crop treated - Value is the single maximum value reported across all data sources, across all years, & rounded up to the nearest multiple of 5. Note: If the estimated value is less than 2.5, then the value is labeled <2.5. What are the data sources used?

 USDA-NASS (United States Department of Agriculture’ s National Agricultural Statistics Service) – pesticide usage data from 2001 to 2008.

 Private pesticide market research – pesticide usage data from 2001 to 2008.

 California Department of Pesticide Regu lation (DPR) Pesticide Use Reporting (PUR) data for 2000 to 2009. What are the limitations to the data?

 Additional registered uses may ex ist but are not included because th e available surveys do not report usage (e.g., small acreage crops).

 Lack of reported usage data for the pesticide on a crop does not imply zero usage.

 Usage data on a particular site may be noted in data sources, but not quantified . In these instances, the site would not be reported in the SLUA.

 Non-agricultural use site s (e.g., turf, post-harvest, mosquito c ontrol, etc.) are not reported in the SLUA. A separate request must be made to receive these estimates.

 Some sites show some use, even though they are not on the label. This usage could be due to various factors, including, but not limited to Secti on 18 requests, existing stocks of the chemical, data collection errors, and experiment al use permits (EUPs).Wednesday, February 09, 2011 Screening Level Estimates of Agricu ltural Uses of Paraquat Dichloride (061601) and Paraquat (061603) Sorted Alphabetically

Percent Crop Ttd. Crop Lbs. A.I. Avg. Max. 1 Alfalfa 100,000 <1 <2.5 2 Almonds 200,000 25 35 3 Apples 100,000 20 30 4 Apricots 1,000 10 20 5 Artichokes 2,000 25 40 6 Asparagus 4,000 10 15 7 Avocados 1,000 <2.5 5 8 Barley 2,000 <1 <2.5 9 Beans, Green 1,000 <1 <2.5 10 Blueberries 3,000 10 20
11 Broccoli <500 <1 <2.5 12 Brussels Sprouts * <500 N.C. N.C. 13 Cabbage 1,000 <2.5 10 14 Caneberries 6,000 45 70 15 Cantaloupes 2,000 5 10 16 Carrots 1,000 <2.5 <2.5 17 Celery + <500 <1 <2.5 18 Cherries 30,000 20 30 19 Chicory * + <500 N.C N.C. 20 Corn 700,000 <2.5 <2.5 21 Cotton 700,000 15 25 22 Cucumbers 3,000 5 30 23 Dry Beans/Peas 10,000 <2.5 5 24 Fallow, Summer 40,000 <1 <2.5 25 Figs * 1,000 N.C N.C.
26 Garlic <500 <1 <2.5 27 Grapefruit 3,000 <2.5 5 28 Grapes 200,000 20 30 29 Kiwifruit 2,000 30 30 30 Lemons 2,000 <2.5 5 31 Lettuce 1,000 <1 <2.5 32 Nectarines 4,000 10 25 33 Olives 1,000 5 10 34 Onions 3,000 5 10 35 Oranges 60,000 5 10 36 Pasture 50,000 <1 <2.5 37 Pastureland 40,000 <1 <2.5 38 Peaches 50,000 30 40 39 Peanuts 60,000 20 3540 Pears 9,000 10 20 41 Peas, Green <500 <1 <2.5 42 Pecans 40,000 5 20 43 Peppers 6,000 10 20 44 Pistachios 50,000 25 40 45 Plums 6,000 15 20 46 Potatoes 20,000 5 10 47 Prunes 20,000 10 25 48 Pumpkins 2,000 5 10 49 Rice 5,000 <1 <2.5 50 Sorghum 20,000 <1 <2.5 51 Soybeans 300,000 <1 <2.5 52 Spinach 1,000 5 10 53 Squash 2,000 5 15 54 Strawberries 4,000 10 25 55 Sugar Beets 2,000 <1 <2.5 56 Sugarcane 20,000 5 10 57 Sunflowers 4,000 <1 <2.5 58 Sweet Corn 3,000 <2.5 5 59 Tangelos <500 10 15 60 Tangerines 1,000 10 15
61 Tobacco <500 <1 <2.5 62 Tomatoes 20,000 5 15 63 Walnuts 50,000 15 20 64 Watermelons 2,000 5 5 65 Wheat 50,000 <1 <2.5

All numbers rounded. <500 Less than 500 pounds of active ingredient <2.5 Less than 2.5 per cent of crop treated

<1 Less than 1 percent of crop treated N/C Only Lbs. A.I. available * CA data only (95% or more of U.S. acres in California) + Crops not known to be listed on active end use product registrations or as Section 18 emergency exemptions when this report was run

SLUA data sources include: USDA-NASS (United States Departme nt of Agriculture's National Agricultural Statistics Service) Private Pesticide Market Research California DPR (Department of Pesticide Regulation)

These results reflect amalgamated data developed by the Agency and are releasable to the public.