Telone [Dichloropropene] ( 0 29001 )

Screening Level Usage Analysis (SLUA)

Date: June 22, 2012

What is a Screening Level Usage Analysis (SLUA)?

• Available estimates of pesticide usage data for a particular active ingredient that is used on

agricultural crops in the United States.

• Pesticide usage data obtained from various sources. The data are then merged, averaged, and

rounded so that the present ed information is not proprietary, business confidential, or trade secret.

What does it contain?

• Pesticide usage data for a single active ingredient only.

• Agricultural use sites (crops) that the pesticide is reported to be used on.

• Available pesticide us age information 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 the 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 cal culated by merging pesticide usage

data sources together; averaging across all observations, 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 signif icant digit. Estimated values of 1,000,000 or greater are rounded to 2 significant

digits.)

• Average percent of crop treated

- Values are calculated by merging data sources together;

averaging by year, averaging across all years, & rounding to the nearest multiple of 5. Note: If the

estimated value is less than 2.5, then the value is labeled <2.5. If the estimated 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 da ta

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 200 3 to 20 10

.

• Private pesticide market research

– pesticide usage data from 200 3 to 20 10

.

• California Department of Pesticide Regulation (DPR) Pesticide Use Reporting (PUR) data for

200 3 to 20 10

. What are the limitations to the data?

• Additional registered uses may exist but are not included because the 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 sites (e.g., turf, post

- harvest, mosquito control, 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 S ection 18 requests, existing stocks of the chemical,

data collection errors, and experimental use permits (EUPs).June 22, 2012

Screening Level Estimates of Agricultural Uses of Telone [Dichloropropene] ( 02900 1)

Sorted Alphabetically

Reporting Years: 2003

- 2010

Percent Crop Ttd.

Crop Lbs. A.I. Avg. Max.

1 Almonds 1,000,000 <1 <2.5

2 Apples 10,000 <1 <2.5

3 Apricots 5,000 <1 <2.5

4 Asparagus 10,000 <1 <2.5

5 Beans, Green 700,000 5 15

6 Broccoli 100,000 <2.5 <2.5

7 Brussels Sprouts* 50,000 NC NC

8 Cabbage 300,000 5 15

9 Caneberries 300,000 5 10

10 Cantaloupes 600,000 10 30

1 1 Carrots 1,200,000 10 20

1 2 Cauliflower 50,000 <2.5 10

1 3 Celery 100,000 5 5

1 4 Cherries 40,000 <1 <2.5

1 5 Corn 90,000 <1 <2.5

1 6 Cotton 1,700,000 <1 <2.5

1 7 Cucumbers 900,000 10 20

1 8 Garlic 50,000 5 5

1 9 Grapes 200,000 <1 <2.5

20 Kiwifruit * 2,000 NC NC

21 Lemons 30,000 <1 <2.5

2 2 Lettuce 200,000 <1 <2.5

2 3 Nectarines 100,000 <2.5 <2.5

2 4 Onions 1,100,000 5 10

2 5 Oranges 200,000 <1 <2.5

2 6 Peaches 200,000 <1 <2.5

2 7 Peanuts 1,300,000 <2.5 5

2 8 Pears 7,000 <1 <2.5

2 9 Pecans 80,000 <1 <2.5

30 Peppers 500,000 10 20

31 Pistachios * 10,000 NC NC

32 Plums/Prunes * 100,000 NC NC

3 3 Pomegranates * 5,000 NC NC

3 4 Potatoes 11,800,000 10 15

3 5 Pumpkins 50,000 <1 <2.5

3 6 Squash 200,000 5 15

3 7 Strawberries 1,100,000 10 40

3 8 Sugar Beets 200,000 <1 <2.53 9 Sweet Corn 80,000 <1 <2.5

40 Tobacco 4,100,000 15 25

4 1 Tomatoes 300,000 <2.5 5

4 2 Walnuts 200,000 <1 <2.5

4 3 Watermelons 500,000 5 10

4 4 Wheat 200,000 <1 <2.5

All numbers are rounded.

<500 : indicates less than 500 pounds of active ingredient.

<2.5 : indicates less than 2.5 percent of crop is treated.

<1 : indicates less than 1 percent of crop is treated.

* California data only

. NC: not calculated, only pounds a.i. available.

SLUA data sources include:

USDA

- NASS (United States Department 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 rel easable to the public.