### Thiophanate

- methyl ( 102001 )

Screening Level Usage Analysis (SLUA)

Date: M arch 7 , 2013

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 t he United States.

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

rounded so that the presented 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 usage information from U.S. states that produce 80% or more of a crop, in most

cases, or less than 80%, in rare cases, d epending 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 th e 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 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 significant digit. Estimated values of 1,000,000 or greater are rounded to 2 significant

digits.)

• Average percent of crop t reated

- 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 valu e 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 200 4 to 20 1 1

.

• Private pesticide market research

– pesticide usage data from 200 4 to 20 1 1

.

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

200 4 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 Section 18 requests, existing stocks of the chemical,

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

### Date: M arch 7 , 2013

Scree ning Level Estimates of Agricultural Uses of Thiophanate

- methyl ( 102001 )

Sorted Alphabetically

Reporting Years: 200 4

- 201 1

Percent Crop T reated

Crop Lbs. A.I. Avg. Max.

1 Almonds 20,000 5 10



### 2 Apples 90,000 20 30



### 3 Apricots <500 <2.5 <2.5



### 4 Beans, Green 90,000 25 45



### 5 Blueberries 4,000 5 25



### 6 Cantaloupes 4,000 10 25



### 7 Celery <500 5 5



### 8 Cherries 4,000 5 10



### 9 Cotton 2,000 <1 <2.5



### 10 Cucumbers 1,000 5 15



### 11 Dry Beans/Peas 200,000 5 15



### 12 Grapefruit 5,000 5 10



### 13 Grapes 10,000 5 15



### 14 Honeydews 1,000 10 10



### 15 Onions <500 <1 <2.5



### 16 Oranges 4,000 <1 <2.5



### 17 Peaches 1 0,000 5 15



### 18 Peanuts 10,000 <2.5 5



### 19 Peanuts (Seed Treatment) 1,000 <2.5 <2.5



### 20 Pears 8,000 15 30



### 21 Pecans 3,000 <1 <2.5



### 22 Peppers* <500 <1 <2.5



### 23 Pistachios 50,000 30 40



### 24 Plums/Pr unes 1,000 <1 <2.5



### 25 Potatoes <500 <1 <2.5



### 26 Potatoes (Seed Treatment) 20,000 5 10



### 27 Pumpkins 1,000 5 10



### 28 Soybeans 30,000 <1 <2.5



### 29 Squash 1,000 5 10



### 30 Strawberries 20,000 2 0 50



### 31 Sugar Beets 10,000 <2.5 10



### 32 Tangerines 1,000 <2.5 <2.5



### 33 Tomatoes 7,000 5 20



### 34 Walnuts 1,000 <1 <2.5



### 35 Watermelons 20,000 15 25



### 36 Wheat 20,000 <1 <2.5All 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.

* A specific exemption section 18 was issued under the provisions of s ection 18 of FIFRA, as amended, to

the Florida Department of Agriculture & Consumer Services for the use of thiophanate

- methyl on fruiting

vegetables (peppers) to control white mold during the reporting period of the SLUA ( EPA memorandum

April 2008 )

.

SL UA data sources include:

USDA

- NASS (United States Department of Agriculture's National Agricultural Statistics Service)

Private Pesticide Market Research

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