### Mancozeb **( 014504**  **) Screening Level Usage Analysis (SLUA)** 

**Date: July 28, 2014**  **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 presented information is not proprietary, business confidential, or trade secret. **What does it contain?**  Pesticide usage data for a **sin gle**  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, 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 calculated b y merging pesticide usage data sources together; averaging across all observations, then rounding. **Note:** If the estim ated 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 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 data sources, across all ye ars, & 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 2004 to 20 1 2
.  **Private pesticide market research**

– pesticide usage data from 200 4 to 201 2
.  **California Department of Pesticide Regulation (DPR) Pesticide Use Reporting (PUR)**  data for 200 4 to 20 1 1
. **What are the limitations to the data?**  Additional registered uses may exist but are not included because the available surveys do not rep ort 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 **: July 28, 2014 Screening Level**  **Estimates of Agricultural Uses of Mancozeb**  **( 014504**  **) Sorted Alphabetically**  **(Reporting Timeframe: 200 4**  **- 201**  **2 )**  **Crop Average**  **Annual Lbs.**  **A.I. Applied**  **Percent Crop Treated**

**Average Maximum**  **1** Almonds 2,000 <1 <2.5 **2** Apples 1,200,00 0 40 45 **3** Asparagus 20,00 0 15 25 **4** Barley 1,000 <2.5 <2.5 **5** Beans, Green **+** 20,000 5 15 **6** Broccoli 10,000 5 10 **7** Cabbage 20,000 10 15 **8** Cantaloupes 20,000 5 15 **9** Carrots 1,000 <2.5 5 **10** Cauliflower 2,000 <2.5 <2.5 **1 1**  Cherries 2,000 <2.5 <2.5 **1 2**  Corn 60,000 <1 <2.5 **1 3**  Cotton 6,000 <1 <2.5 **1 4**  Cucumbers 100,000 30 50 **1 5**  Garlic 3,000 5 10 **1 6**  Grapes 300,000 10 20 **1 7**  Lettuce 200,000 25 60 **1 8**  Onions 400,000 60 75 **1 9**  Oranges 2,000 <1 <2.5 **20** Peaches 1,000 <2.5 <2.5 **2 1**  Peanuts 40,000 <2.5 <2.5 **2 2**  Pears 200,000 45 70 **2 3**  Pe as, Green 1,000 <1 <2.5 **2 4**  Peppers 50,000 10 25 **2 5**  Potatoes 2,200,000 55 65 **2 6**  Potatoes (Seed Treatment) 400,000 45 50 **2 7**  Pumpkins 20,000 10 15 **2 8**  Rice <500 <2.5 <2.5 **2 9**  Sorghum 20,000 5 5 **30** Spinach <500 <1 <2.5 **3 1**  Squash 40,000 20 30 **3 2**  Strawber

ries 20,000 <2.5 <2.5 **3 3**  Sugar Beets 30,000 <2.5 10 **3 4**  Sweet Corn 100,000 5 15 **3 5**  Tobacco 10,000 <2.5 10 **3 6**  Tomatoes 500,000 20 50 **3 7**  Walnuts 400,000 35 55**3 8**  Watermelons 300,000 45 60

**3 9**  Wheat 50,000 <1 <2.5 **40** Wheat (seed treatment) 2,000 <1 <2.5

All numbers 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.

**+** : 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 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.