                            Dimethenamid-P (120051)
                     Screening Level Usage Analysis (SLUA)
                            Date: January 19, 2016
                                       
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 single active ingredient only.
 Agricultural use sites (crops) that the pesticide is reported to be used on. 
 Available pesticide usage information from states that produce 80% of crop acres planted in the United States, 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 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 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 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?
 United States Department of Agriculture's National Agricultural Statistics Service (USDA-NASS)  -  pesticide usage data from 2005 to 2014.  NASS data are based on surveys that focus on the top-producing states that together account for the majority of U.S. acres or production of the surveyed commodity.  NASS aims to cover at a minimum 80 percent of the targeted fruit, vegetable, and field crop acres planted in the United States. Farm level data are combined during summary and, pending compliance with disclosure rules, published at the state and national levels.  NASS collects agricultural usage data for various crops on a rotating schedule.
 Private pesticide market research  -  pesticide usage data from 2005 to 2013.  The Private Pesticide Market Research data is also a survey that covers pesticide usage on agricultural crops.  The survey data accounts for at least 80 percent of US acres/production of the surveyed commodities.  Surveys are conducted annually.
 California Department of Pesticide Regulation (DPR) Pesticide Use Reporting (PUR) data for 2005 to 2012. The PUR database contains detailed records and summaries of agricultural applications of pesticides on crops that are obtained from a census and published annually.
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).  
                               January 19, 2016
                                       
   Screening Level Estimates of Agricultural Uses of Dimethenamid-P (120051)
             Sorted Alphabetically  -  Reporting Time:  2005-2014
                                       
                                     Crop
                               Average Lbs. A.I.
                               Applied per Year
                             Percent Crop Treated
                                       
                                       
                                    Average
                                    Maximum
                                       1
Beans, Green+
                                     2,000
                                    <2.5
                                       5
                                       3
Corn
                                   1,600,000
                                       5
                                      10
                                       4
Dry Beans/Peas
                                    90,000
                                       5
                                      10
                                       5
Garlic 
                                     2,000
                                       5
                                      10
                                       6
Onions, Dry
                                    30,000
                                      20
                                      40
                                       7
Peanuts
                                     4,000
                                     <1
                                    <2.5
                                       8
Peas, Green+
                                     1,000
                                     <1
                                    <2.5
                                       9
Potatoes
                                    90,000
                                      10
                                      20
                                      10
Pumpkins
                                     1,000
                                    <2.5
                                    <2.5
                                      11
Sorghum
                                    300,000
                                       5
                                      20
                                      12
Soybeans
                                    200,000
                                    <2.5
                                       5
                                      13
Squash
                                     1,000
                                       5
                                       5
                                      14
Sugar Beets
                                    40,000
                                       5
                                      15
                                      15
Sweet Corn
                                    70,000
                                      15
                                      25
  All numbers rounded.
                                                                        <500
Less than 500 pounds of active ingredient
                                                                        <2.5
Less than 2.5 percent of crop treated
                                                                          <1
Less than 1 percent of crop 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.


