UNITED STATES ENVIRONMENT AL PROTECTION AGENCY WASHINGTON D

.C

. , 20460


## DEC 06 2012

MEMORANDUM OFFI CE O F CHEM ICAL SAFETY AND POLLUTION PREVENTION

SUBJECT: 

### Updated Screening Level Usage Analysis (SLUA) Report in Support of Registration Review of Glyphosate

FROM :

THRU: 

### Sepehr Haddad, Environmental Protection Specialist Science and Information Analysis Branch Biological and Economic Analysis Division (7503P) Diann Sims, Chief

# ;{J~~ Science Information and Analysis Branch Biological and Economic Analysis Division (7503P) TO: 

### Carissa Cyran, Chemical Review Manager Risk Management and Implementation Branch I Pesticide Re-evaluation Division (7508P)

This memorandum transmits the Screening Level Usage Analysis (SLUA) report for Glyphosate

. Please refer to the coversheet ofthe SLUA for an explanation of the data sources a

nd other information that describes the report content. Also, please refer to the footnotes ofthe SLUA report for an explanation ofsymbols used to characterize the data. For questions, comments and other usage or label use inf ormation requests, please contact me at 703-308-9331.

### Glyphosate Case Level Screening Level Usage Analysis (SLUA) Date: December 6, 2012 What is a Screening Level Usage Analysis (SLUA)? • Available estimates ofpesticide 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 confidentia l, 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 ofa crop, in most cases, or less than 80%, in rare cases, depending on the scope ofthe survey and available resources . • Annual percent ofcrop treated 

### (average & 

### maximum) for each agricultural crop. • Average annual pounds ofthe 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 across all observations, then rounding. Note: 

## If the estimated value is less than 500, then that value is labeled <500. Estimated values between 500 & <I,OOO,OOO are rounded to I significant digit. Estimated values of I, 000, 000 or greater are rounded to 2 significant digits.) 

### • Average percent ofcrop treated

- Values are calculated by merging data sources together; averaging by year, averaging across all years, & rounding to the nearest multiple of5. Note: 

## If the estimated value is less than 2. 5, then the value is labeled <2. 5. 

## If the estimated value is less than I, then the value is labeled <I. 

### • Maximum percent ofcrop 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 ofAgriculture's National Agricultural Statistics Service)

- pesticide usage data from 2004 to 2011. 

### • Private pesticide market research

- pesticide usage data from 2004 to 2011

. 

### • California Department ofPesticide Regulation (DPR) Pesticide Use Reporting (PUR) data for 2004 to 2010

. 

### 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 ofreported 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 ofthe chemical, data collection errors, and experimental use permits (EUPs)

.

### Glyphosate Case Level Screening Level Usage Analysis (SLUA) Date: December 6, 2012

Sorted Alphabetically (Reporting Timeframe: 2004-2011)
Percent Crop Treated Crop Lbs. A.I. Average Maximum 1 Alfalfa 300,000 <2.5 5 2 Almonds 2,100,000 85 90 3 Apples 400,000 55 70 4 Apricots 10,000 55 75 5 Artichokes 1,000 10 15 6 Asparagus 30,000 55 70 7 Avocados 80,000 45 65 8 Barley 500,000 20 40 9 Beans, Green 60,000 15 20 10 Blueberries 10,000 20 25 11 Broccoli 3,000 <2.5 <2.5 12 Brussels Sprouts * <500 N/C N/C 13 Cabbage 10,000 10 25 14 Caneberries 3,000 10 25 15 Canola 500,000 65 80 16 Cantaloupes 20,000 15 25 17 Carrots 3,000 5 10 18 Cauliflower 1,000 <2.5 5 19 Celery 1,000 5 10 20 Cherries 200,000 65 85 21 Chicory* <500 N/C N/C 22 Corn 54,600,000 60 85 23 Cotton 17,500,000 85 95 24 Cucumbers 30,000 20 35 25 Dates 3,000 20 25 26 Dry Beans/Peas 500,000 25 35 27 Fallow 7,900,000 55 65 28 Figs 5,000 40 70 29 Garlic 4,000 10 25 30 Grapefruit 400,000 80 95 31 Grapes 1 ,400,000 70 80 32 Hazelnuts 30,000 70 90 33 Kiwifruit 2,000 30 40 34 Lemons 200,000 70 90 35 Lettuce 9,000 <2.5 10 36 Nectarines ·20,000 45 70 37 Oats 100,000 5 10

### 38 

### Olives 20,000 45 50 39 

### Onions 40,000 30 40 40**Oran~es** 

### 3,200,000 90 95 41 

### Pasture 700,000 <1 <2.5 42 

### Peaches 200,000 55 70 43 

### Peanuts 300,000 20 30 44 

### Pears 100,000 65 90 45 

### Peas, Green 20,000 10 20 46 

### Pecans 500,000 35 45 47 

### Peppers 20,000 20 35 48 

### Pistachios 500,000 85 95 49 

### Plums/Prunes 200,000 65 80 50 

### Pluots 

### * 1,000 

### N/C N/C 51 

### Pomegranates 

## * 30,000 

### N/C N/C 52 

### Potatoes 80,000 10 15 53 

### Pumpkins 20,000 20 25 54 

### Rice 700,000 25 40 55 

### Sorghum 2,700,000 40 60 56 

### Soybeans 86,400,000 95 100 57 

### Spinach 1,000 <2.5 10 58 

### Squash 10,000 20 40 59 

### Strawberries 10,000 10 20 60 

### Sugar Beets 1,000,000 50 95 61 

### Sugarcane 300,000 45 50 62 

### Sunflowers 1,000,000 55 75 63 

### Sweet Corn 100,000 15 20 64 

### Tangelos 9,000 55 80 65 

### Tangerines 60,000 65 80 66 

### Tobacco 8,000 5 10 67 

### Tomatoes 100,000 35 45 68 

### Walnuts 600,000 75 85 69 

### Watermelons 30,000 15 25 70 

### Wheat 8,100,000 25 70 All numbers rounded. <500 Less than 500 pounds ofactive ingredient <2.5 Less than 2.5 percent ofcrop treated

< I Less than I percent ofcrop treated

* Based on CA DPR data only/ N /C =not calculated, only lbs. A. I. available The survey data included in this SLUA report does not differentiate between which exact chemical code(s) are included in the case level anal ysis

.
SLUA data sources include: USDA-NASS (United States Department ofAgriculture's National Agricultural Statistics Service) Private Pesticide Market Research California DPR (Department ofPesticide Regulation) These results reflect amalgamated data developed by the Agency and are releasable to the public.