  SEQ CHAPTER \h \r 1 

UNITED STATES ENVIRONMENTAL PROTECTION AGENCY

WASHINGTON, D.C. 20460      

	OFFICE OF CHEMICAL SAFETY 

AND POLLUTION PREVENTION 

				AND

	

MEMORANDUM

Date:  		2- JULY-2010 

SUBJECT:	Mefenoxam Chronic Aggregate Dietary (Food and Drinking Water)
Exposure and Risk Assessment for the Section 3 Registration Action on
Snap Bean (Succulent) and the Caneberry Subgroup 13-07A, Expanded Uses
on the Bulb Onion Subgroup 3-07A, the Green Onion Subgroup 3-07B, and
the Bushberry Subgroup 13-07B, and Amended Use on Spinach.

PC Code:  113502	DP Barcode:  371309

Decision No.: 416985	Registration Nos.: 100-801, 100-804, 100-1202

Petition No.: 9E7591	Regulatory Action: Section 3 Registration

Risk Assessment Type: NA	Case No.: NA

TXR No.: NA	CAS No.: 70630-17-0

MRID No.: NA	40 CFR: 180.546



FROM:	Nancy Dodd, Chemist

Registration Action Branch III/Health Effects Division (7509P)

THROUGH:	Debra Rate, Ph.D., Biologist

		Meheret Negussie, Chemist

Dietary Exposure Science Advisory Council (DESAC)

Health Effects Division (7509P)

and

Paula Deschamp, Chief

Risk Assessment Branch III/Health Effects Division (7509P)

TO:		Barbara Madden, RM#5

		Risk Integration, Minor Use, and Emergency Response Branch

Registration Division (7505P)

DEEM-FCID™, Version 2.03 which uses food consumption data from the
U.S. Department of Agriculture’s Continuing Surveys of Food Intakes by
Individuals (CSFII) from 1994-1996 and 1998.  The analysis was performed
to support Section 3 requests.

     

Chronic Dietary (Food and Drinking Water) Exposure Results and
Characterization

HED conducted a somewhat refined chronic dietary and drinking water
exposure assessment for all existing and proposed new food uses of
metalaxyl/mefenoxam and drinking water.  In this assessment, it was
assumed that residues were present at tolerance levels in plant
commodities for both direct use tolerances for metalaxyl/mefenoxam and
indirect or inadvertent tolerances for metalaxyl.  Additional factors
were applied to certain plant commodities to address concerns regarding
the adequacy of the residue analytical method to determine
metalaxyl/mefenoxam residues of concern in plant and animal commodities.
 This concern was raised during the review of method validation data
required for reregistration which were submitted with the previous
petition.  Data from metabolism studies on goats and hens were used to
estimate conservative levels of metalaxyl/mefenoxam in livestock
commodities.  Processing data were used when available and DEEM default
processing factors were used when processing data were not available. 
Estimated average % crop (% CT) treated data for mefenoxam was used when
available.  The 1 in 10 year annual estimated surface water
concentration from the Tier II Pesticide Root Zone Model/Exposure
Analysis Modeling System (PRZM-EXAMS) was used to assess contributions
from drinking water.  

Results of the chronic dietary assessment indicate that the general U.S.
population and all other population subgroups have exposure and risk
estimates below HED’s level of concern.  The DEEM chronic dietary
exposure estimate is 26% of the chronic population adjusted dose (cPAD)
for the general U.S. population, and 58% of the cPAD for the highest
exposed population subgroup, children 1-2 years of age.   

I.	Introduction

Dietary risk assessment incorporates both exposure and toxicity of a
given pesticide.  For acute and chronic assessments, the risk is
expressed as a percentage of a maximum acceptable dose (i.e., the dose
which HED has concluded will result in no unreasonable adverse health
effects).  This dose is referred to as the population adjusted dose
(PAD).  The PAD is equivalent to point of departure (POD, NOAEL, LOAEL,
e.g.) divided by the required uncertainty or safety factors.

For acute and non-cancer chronic exposures, HED is concerned when
estimated dietary risk exceeds 100% of the PAD.  HED is generally
concerned when estimated cancer risk exceeds one in one million.
References which discuss the acute and chronic risk assessments in more
detail are available on the EPA/pesticides web site:  “Available
Information on Assessing Exposure from Pesticides, A User’s Guide,”
21-JUN-2000, web link:      HYPERLINK
"http://www.epa.gov/fedrgstr/EPA-PEST/2000/July/Day-12/6061.pdf" 
http://www.epa.gov/fedrgstr/EPA-PEST/2000/July/Day-12/6061.pdf  ; or see
SOP 99.6 (20-AUG-1999).

The most recent dietary risk assessment for mefenoxam/metalaxyl was
conducted by Becky Daiss (19-APR-2007, DP#363209).  Most of that review
is repeated verbatim, except for the necessary changes required by the
currently proposed uses.

II.	Residue Information

Residues of Concern  

The nature of the residue in plants and livestock is adequately
understood for metalaxyl and mefenoxam, an enriched isomer of metalaxyl,
based on metalaxyl metabolism studies.  Metabolites can be separated
into four classes:  (i) those containing a 2,6-dimethylaniline (2,6-DMA)
moiety; (ii) those containing a 2-hydroxymethyl-6-methylaniline (HMMA)
moiety; (iii) those containing a ring hydroxylated dimethylaniline
(Ring-OH) moiety; and (iv) those containing a benzoic acid moiety.  The
HED Risk Assessment Review Committee (RARC) has concluded that the
metalaxyl/mefenoxam residues of concern in plant and livestock
commodities for dietary assessments are metalaxyl/mefenoxam per se, its
metabolites containing the 2,6-dimethylaniline (2,6-DMA) moiety, its
metabolites containing the 2-hydroxymethyl-6-methylaniline (HMMA)
moiety, its metabolites containing the ring hydroxylated dimethylaniline
(Ring-OH) moiety, and its metabolites containing the benzoic acid
moiety.  Essentially, the Committee has determined that all residues
identified in plant and livestock commodities from the available
metabolism studies are of concern since none can be excluded for
toxicological reasons (DP#333767, B. Cropp-Kohlligian, 3/7/07).

Sufficient acceptable bridging data were submitted to verify that the
environmental fate of mefenoxam is similar to metalaxyl.  Therefore,
based on the limited bridging data submitted (soil photolysis, aerobic
soil metabolism, batch equilibrium, and soil column leaching studies),
EFED concluded that environmental fate studies for metalaxyl, including
the studies reviewed for mefenoxam, can be used to predict the
environmental fate of mefenoxam (DP#324495, J. Hetrick, 2/22/07).

Tolerances

Tolerances for residues of metalaxyl are established under 40 CFR
§180.408 for the combined residues of metalaxyl, its metabolites
containing the 2,6-dimethylaniline (2,6-DMA) moiety, and
N-(2-hydroxymethyl-6-methylphenyl)-N-(methoxyacetyl)alanine methyl ester
(CGA-94689, one of the metabolites which contains the
2-hydroxymethyl-6-methylaniline (HMMA) moiety), each expressed as
metalaxyl equivalents.  The established tolerances for plant
commodities, under 40 CFR §180.408(a), range from 0.1 ppm to 25 ppm. 
Tolerances have also be established for livestock commodities:  0.05 ppm
for eggs, 0.02 ppm for milk, 0.05 ppm for meat and meat byproducts
(except kidney and liver) of cattle, goat, hog, horse, poultry, and
sheep, and 0.4 ppm for kidney, liver, and fat of cattle, goat, hog,
horse, poultry, and sheep.  In addition, a tolerance with regional
registration has been established under 180.408(c) for papaya at 0.1
ppm, and tolerances for indirect or inadvertent residues of metalaxyl
are established under 40 CFR §180.408(d) for rotational barley, cereal
grain, oat, and wheat commodities ranging from 0.2 ppm (grain) to 2.0
ppm (forage and straw of some grains).

Tolerances for residues of mefenoxam are established under 40 CFR
§180.546(a) for the combined residues of (R)- and
(S)-2-[(2,6-dimethyl(phenyl)-methoxyacetylamino]-propionic acid methyl
ester, its metabolites containing the 2,6 dimethylaniline (2,6-DMA)
moiety, and N-(2-hydroxymethyl-6-methylphenyl)-N-(methoxyacetyl)alanine
methyl ester (CGA-94689, one of the metabolites which contains the HMMA
moiety), each expressed as mefenoxam equivalents, in/on globe artichoke
at 0.05 ppm; kiwifruit at 0.10 ppm; atemoya, custard apple, star fruit,
and sugar apple at 0.20 ppm; canistel, mango, papaya, sapodilla, black
sapote, mamey sapote, and star apple at 0.40 ppm; lingonberry at 2.0
ppm; fresh herbs at 8.0 ppm; and dried herbs at 55 ppm.

The Metalaxyl RED was published in September, 1994.  Tolerances were
considered reassessed in connection with a subsequent mefenoxam
tolerance petition.   

Residue Data used for Chronic Assessment 

A somewhat refined chronic dietary exposure assessment was conducted for
all existing and proposed new food uses of metalaxyl/mefenoxam and
drinking water.  It was assumed that residues were present at tolerance
levels in plant commodities.  The assessment included both direct use
tolerances for metalaxyl/mefenoxam and indirect or inadvertent
tolerances for metalaxyl.  In addition, given concerns regarding the
adequacy of the residue analytical method to determine
metalaxyl/mefenoxam residues of concern in plant and animal commodities,
additional factors were applied, as appropriate, based on available
residue chemistry data, to estimate total residues of concern for
dietary risk assessment.  HED used data from metabolism studies on goats
and hens to estimate conservative levels of metalaxyl/mefenoxam in
livestock commodities for upper bound dietary risk assessment purposes. 


Following is a summary of the residues used in the dietary assessment
for plant and animal commodities.  A more detailed discussion is
provided in Appendix 1.

Table 1. 	Tolerance Summary for Proposed Uses of Mefenoxam.

Commodity	Tolerance (ppm)	Comments; Correct Commodity Definition

	Established	Proposed 	Recommended 

	Bean, snap, succulent	--	0.35	0.20 

	Caneberry, subgroup 13-07A	--	0.80	0.70	Caneberry subgroup 13-07A

Bushberry subgroup 13-07B	--	2.0	2.0

	Onion, bulb, subgroup 3-07A	--	3.0	3.0

	Onion, green, subgroup 3-07B	--	10.0	10

	Spinach	--	8.0	 10	The existing tolerance for spinach, listed under 40
CFR §180.408, is 10.

Lingonberry	2.0	--	Remove	Residues on lingonberry will be covered by the
tolerance on bushberry subgroup 13-07B



Plant Commodities

Current/reassessed tolerance levels in plant commodities are expected to
be adequate to estimate the combined residues of metalaxyl/mefenoxam and
its metabolites containing the 2,6-DMA moiety in the chronic dietary
risk assessment.  Available plant (primary and rotational crop)
metabolism data reflecting foliar treatments of metalaxyl have been used
to estimate factors relative to the combined residues of
metalaxyl/mefenoxam and its metabolites containing the
2,6-dimethylaniline (2,6-DMA) moiety, in order to estimate the total
residues of concern.  

Factors are estimated as follows:

For leafy commodities, a factor of 4x should be applied to the
current/reassessed tolerance levels used in the chronic dietary risk
assessment to account for all residues of concern.

For fruit and vegetable commodities, no additional factor needs to be
applied to the current/reassessed tolerance levels used in the chronic
dietary risk assessment to account for all residues of concern.

For grain, seed (including dried beans), and nut commodities, a factor
of 25x should be applied to the current/reassessed tolerance levels used
in the chronic dietary risk assessment to account for all residues of
concern – with the exception of flour cereal grains as noted below.

For snap bean (succulent), a factor of 1.8x should be applied to the
tolerance level in the chronic dietary risk assessment to account for
all residues of concern.

For caneberries, a factor of 1.3x should be applied to the tolerance
level in the chronic dietary risk assessment to account for all residues
of concern. 

	[For snap bean (succulent) and caneberries, the factors used were
determined by ChemSAC (refer to the minutes of the 2/25/09 meeting); the
factors are based on the ratio of combined residues of
mefenoxam/metalaxyl and metabolites convertible to 2,6-DMA to residues
of mefenoxam per se.   See Appendix Table 2 for a more detailed
explanation of the other factors.]

Flour of Cereal Grains

Taken as a whole, available data suggest that, on average and for the
purposes of estimating residue levels in the chronic dietary risk
assessments, total metalaxyl/mefenoxam residues of concern in wheat
flour are not expected to be significantly higher than those estimated
in/on wheat grain.  This finding may be translated to other cereal
grains. [See Appendix 1 for a more detailed explanation.]

Livestock Commodities

Since there are no livestock feedstuffs associated with the proposed
uses on bulb vegetables, spinach, snap beans, caneberries, and
bushberries, livestock dietary burdens have not been reassessed for this
petition.  Livestock dietary burdens were calculated for the previous
petition (DP#363209, B. Daiss, 4/19/07; refer to Tables 3 and 4 in
Appendix 1).

Processing Factors

Default processing factors were generally used except for those cases in
which the tolerances were specifically established for processed
commodities (i.e., dried apricot, and processed potato and tomato
commodities).  Additionally, a 1x processing factor for fruit juices was
used based on available metalaxyl grape juice metabolism data and
supporting data on metalaxyl apple, orange, and metalaxyl/mefenoxam
grape processing.  These data indicate that total metalaxyl/mefenoxam
residues of concern in fruit juices are not expected to exceed those
estimated in/on the associated fruits.  

  Drinking Water Data

The drinking water residues used in the dietary risk assessment were
provided by the Environmental Fate and Effects Division (EFED) in the
following memorandum: Drinking Water Assessment for Mefenoxam
(Metalaxyl-M) for Snap Beans, Caneberries (crop group 13-07A), Spinach,
Bushberries (crop group 13-07B), Bulb Onions (subgroup 3-07A), Green
Onions (subgroup 3-07B) (DP#376655, B. Anderson, 04/20/10) and
incorporated directly into this dietary assessment.  Water residues were
incorporated in the DEEM-FCID into the food categories “water, direct,
all sources” and “water, indirect, all sources.”  

Results from this assessment did not exceed residue levels in drinking
water which were determined in the previous assessment (DP#324495, J.
Hetrick, 2/22/07).                                                      
                                                                        
                                                                        
                                                                        
                                                                        
                                                                        
                                                                        
                                                                        
                                                                        
                                                                        
                                                                        
                                                                        
                                                                        
          

The drinking water exposure assessment for
(R)2-[2,6-dimethylphenyl)-methoxyacetylamino]-propionic acid methyl
ester (mefenoxam) was conducted using registrant submitted data for
(R,S)2-[2,6-dimethylphenyl)-methoxyacetylamino]-propionic acid methyl
ester (metalaxyl) and mefenoxam. 

xpected to exceed 108.9 μg/L for the 1-in-10 year daily peak
concentration, 36.7 μg/L for the 1-in-10 year annual concentration, and
25.9 μg/L for the 30-year annual average concentration. 
Metalaxyl/mefenoxam residue concentrations from Tier I groundwater
modeling are not expected to exceed 1.72 μg/L.  However, the maximum
metalaxyl concentration in registrant-sponsored ground water monitoring
studies was 3.0 μg/L.  The 1-in-10 year annual estimated surface water
concentration of 36.7 μg/L from the PRZM-EXAMS model was used to assess
contributions from drinking water for the chronic dietary assessment.  

Table 2.	Summary of Estimated Surface Water and Groundwater
Concentrations for Metalaxyl/Mefenoxam.

	Metalaxyl/Mefenoxam

	Surface Water Conc., ppb a	Groundwater Conc., ppb b

Acute	108.9	1.72

Chronic (non-cancer)	36.7	1.72

Chronic (cancer)	25.9	1.72

a From the Tier II PRZM-EXAMS - Index Reservoir model.  Input parameters
are based on the scenario for Florida citrus crops ...

b From the SCI-GROW model assuming a maximum seasonal use rate of 6 lb
ai/A, a Koc of 409, and a half-life of 400 days.



The model and its description are available at the EPA internet site:  
HYPERLINK "http://www.epa.gov/oppefed1/models/water/" 
http://www.epa.gov/oppefed1/models/water/ .  

IV.	DEEM-FCID™ Program and Consumption Information

Mefenoxam/metalaxyl acute and chronic dietary exposure assessments were
conducted using the Dietary Exposure Evaluation Model software with the
Food Commodity Intake Database DEEM-FCID™, Version 2.03 which
incorporates consumption data from USDA’s Continuing Surveys of Food
Intakes by Individuals (CSFII), 1994-1996 and 1998.  The 1994-96, 98
data are based on the reported consumption of more than 20,000
individuals over two non-consecutive survey days.  Foods “as
consumed” (e.g., apple pie) are linked to EPA-defined food commodities
(e.g. apples, peeled fruit - cooked; fresh or N/S; baked; or wheat flour
- cooked; fresh or N/S, baked) using publicly available recipe
translation files developed jointly by USDA/ARS and EPA.  For chronic
exposure assessment, consumption data are averaged for the entire U.S.
population and within population subgroups, but for acute exposure
assessment are retained as individual consumption events.  Based on
analysis of the 1994-96, 98 CSFII consumption data, which took into
account dietary patterns and survey respondents, HED concluded that it
is most appropriate to report risk for the following population
subgroups: the general U.S. population, all infants (<1 year old),
children 1-2, children 3-5, children 6-12, youth 13-19, adults 20-49,
females 13-49, and adults 50+ years old.

For chronic dietary exposure assessment, an estimate of the residue
level in each food or food-form (e.g., orange or orange juice) on the
food commodity residue list is multiplied by the average daily
consumption estimate for that food/food form to produce a residue intake
estimate.  The resulting residue intake estimate for each food/food form
is summed with the residue intake estimates for all other food/food
forms on the commodity residue list to arrive at the total average
estimated exposure.  Exposure is expressed in mg/kg body weight/day and
as a percent of the cPAD.  This procedure is performed for each
population subgroup.

For acute exposure assessments, individual one-day food consumption data
are used on an individual-by-individual basis.  The reported consumption
amounts of each food item can be multiplied by a residue point estimate
and summed to obtain a total daily pesticide exposure for a
deterministic exposure assessment, or “matched” in multiple random
pairings with residue values and then summed in a probabilistic
assessment.  The resulting distribution of exposures is expressed as a
percentage of the aPAD on both a user (i.e., only those who reported
eating relevant commodities/food forms) and a per-capita (i.e., those
who reported eating the relevant commodities as well as those who did
not) basis.  In accordance with HED policy, per capita exposure and risk
are reported for all tiers of analysis.  However, for tiers 1 and 2, any
significant differences in user vs. per capita exposure and risk are
specifically identified and noted in the risk assessment.

V.	Toxicological Information

The risk assessment team selected endpoints or confirmed endpoints that
were selected previously.  

On April 11, 2000, the HED's Hazard Identification Assessment Review
Committee (HIARC) established Reference Doses (RfD) and selected the
toxicological endpoints for metalaxyl/mefenoxam dietary exposure risk
assessments.  Summaries of toxicity endpoints appear in Table 3.

The HED FQPA Safety Factor Committee met on October 23, 2000, and
concluded that the FQPA safety factor could be removed (1x) because:

·	There is no indication of quantitative or qualitative increased
susceptibility of rats or rabbits to in utero and/or postnatal exposure;

·	A developmental neurotoxicity study is not required at this time; and

·	The dietary (food and drinking water) and non-dietary exposure
assessments will not underestimate the potential exposures for infants
and children.

Table 3.  Summary of Toxicological Doses and Endpoints for Mefenoxam for
Use in Dietary Exposure Risk Assessments

Exposure/

Scenario	Point of Departure	Uncertainty/FQPA Safety Factors	RfD, PAD,
Level of Concern 	Study and Toxicological Effects

Acute Dietary (General Population, including Infants and Children)	NA	No
appropriate endpoint attributable to a single dose was identified.

Acute Dietary

(Females 13-49 years of age)	NA	No appropriate endpoint attributable to
a single dose was identified.

Chronic Dietary (All Populations)	NOAEL= 7.41 mg/kg/day	UFA= 10x

UFH= 10x

FQPA SF= 1x

	Chronic RfD = 0.074

mg/kg/day

cPAD = 0.074 mg/kg/day	6 Month Feeding (Metalaxyl) Study in Dog

MRID No. 00071598 

LOAEL = 39 mg/kg/day, based on increased liver weights and clinical
chemistry (alkaline phosphatase).



Cancer (oral, dermal, inhalation)   	Classification: “Not likely to be
Carcinogenic to Humans.” 

Point of Departure (POD) = A data point or an estimated point that is
derived from observed dose-response data and  used to mark the beginning
of extrapolation to determine risk associated with lower environmentally
relevant human exposures.  NOAEL = no observed adverse effect level. 
LOAEL = lowest observed adverse effect level.  UF = uncertainty factor. 
UFA = extrapolation from animal to human (intraspecies).  UFH =
potential variation in sensitivity among members of the human population
(interspecies).  FQPA SF = FQPA Safety Factor.  PAD = population
adjusted dose (a = acute, c = chronic).  RfD = reference dose.  N/A =
not applicable.

VI.	Results/Discussion 

As stated above, for acute and chronic assessments, HED is concerned
when dietary risk exceeds 100% of the PAD.  The DEEM-FCID™ analyses
estimate the dietary exposure of the U.S. population and various
population subgroups.  The results reported in Table 4 are for the
general U.S. Population, all infants (<1 year old), children 1-2,
children 3-5, children 6-12, youth 13-19, females 13-49, adults 20-49,
and adults 50+ years.  Cancer risk is determined for the general U.S.
population only.

Results of Chronic Dietary (Food and Drinking Water) Exposure Analysis

The results of the chronic dietary exposure analysis are reported in the
summary table below.  The results indicate that the general U.S.
population and all other population subgroups have exposure and risk
estimates below HED’s level of concern.  The DEEM chronic dietary
exposure estimate is 26% of the cPAD for the general U.S. population,
and 58% of the cPAD for the highest exposed population subgroup,
children 1-2 years of age. 

Table 4.  Summary of Dietary (Food and Drinking Water) Exposure and Risk
for Mefenoxam/Metalaxyl l1

Population Subgroup	Acute Dietary

(XX.X Percentile)	Chronic Dietary	Cancer

	Dietary Exposure (mg/kg/day)	% aPAD	Dietary Exposure

(mg/kg/day)	% cPAD	Dietary Exposure

(mg/kg/day)	Risk

General U.S. Population	NA	0.018848	26	NA	NA

All Infants (< 1 year old)

0.020147	27



Children 1-2 years old

0.042959	58



Children 3-5 years old

0.041014	55



Children 6-12 years old

0.027915	38



Youth 13-19 years old

0.017987	24



Adults 20-49 years old

0.015700	21



Adults 50+ years old

0.013914	19



Females 13-49 years old

0.014792	20



 1The population subgroup with the highest estimated chronic dietary
(food + drinking water) exposure and risk is indicated by bold text.

VII.	Characterization of Inputs/Outputs

Residue Issues

Given concerns regarding the adequacy of the residue analytical methods
to determine metalaxyl/mefenoxam residues of concern in plant and animal
commodities, the HED  RARC has approved the use of factors, as
appropriate, derived from available residue chemistry data, to estimate
total metalaxyl/mefenoxam residues of concern for dietary risk
assessments.  A detailed discussion of concerns regarding the analytical
method and of the factors applied to assess to total residues of concern
is provided in Appendix 1.

Level of Refinement

A somewhat refined chronic dietary exposure assessment was conducted for
all existing and proposed new food uses of metalaxyl/mefenoxam and
drinking water.  Tolerance level residues were assumed for plant
commodities.  The assessment included both direct use tolerances for
metalaxyl/mefenoxam and indirect or inadvertent tolerances for
metalaxyl.  In addition, given concerns regarding the adequacy of the
residue analytical method to determine metalaxyl/mefenoxam residues of
concern in plant and animal commodities, additional factors were
applied, as appropriate, based on available residue chemistry data, to
estimate total residues of concern for dietary risk assessment.  Data
from metabolism studies on goats and hens were used to estimate
conservative levels of metalaxyl/mefenoxam in livestock commodities. 
Processing data for cereal grain flour and fruit juice were also used in
the assessment.  Estimated average % CT data for mefenoxam was used when
available.  

Processing Factors

Default processing factors were generally used except for those cases in
which the tolerances were specifically established for processed
commodities (i.e., dried apricot, and processed potato and tomato
commodities).  Additionally, a 1x processing factor for fruit juices was
used based on available metalaxyl grape juice metabolism data and
supporting date on metalaxyl apple, orange, and metalaxyl/mefenoxam
grape processing.  These data indicate that total metalaxyl/mefenoxam
residues of concern in fruit juices are not expected to exceed those
estimated in/on the associated fruits.  

Adequacy of %CT data

Screening level usage analysis (SLUA) data for mefenoxam provided by the
Biological and Economic Analysis Division (BEAD) was used for this
analysis.  Estimated average percent crop treated data for mefenoxam was
used when available.  (As shown in Attachment 1, Table A.1, where data
for metalaxyl are available, the values for mefenoxam were always higher
and were therefore used.)  Where no percent crop treated data were
available, the chronic analysis assumed 100% CT.  SLUA data is adequate
for this analysis. 

Additional Information for Risk Managers

Percent crop treated information for inadvertent residues for rotational
grain commodities would help refine the analysis.  

VIII.	Conclusions

A somewhat refined chronic dietary exposure assessment was conducted for
all existing and proposed new food uses of metalaxyl/mefenoxam and
drinking water.  The assessment assumed that residues were present at
tolerance levels in plant commodities for both direct use tolerances for
metalaxyl/mefenoxam and indirect or inadvertent tolerances for
metalaxyl.  Additional factors were applied to certain plant commodities
to address concerns regarding the adequacy of the residue analytical
method.  Results of the chronic dietary assessment indicate that the
general U.S. population and all other population subgroups have exposure
and risk estimates below HED’s level of concern.  The DEEM chronic
dietary exposure estimate is 26% of the cPAD for the general U.S.
population, and 58% of the cPAD for the highest exposed population
subgroup, children 1-2 years of age. 

IX.		List of Attachments

Appendix 1. Metalaxyl/Mefenoxam Dietary Exposure Estimates in Food for
Chronic Dietary Risk Assessments

Attachment 1. Metalaxyl and  Mefenoxam Usage Reports and Comparison 

Attachment 2. Chronic Food plus Water Residue Input File

Attachment 3. Chronic Results File 

APPENDIX 1:  Metalaxyl/Mefenoxam Dietary Exposure Estimates in Food for
Chronic Dietary Risk Assessments

See:	D325137, B. Cropp-Kohlligian, 03/07/2007.

	Metalaxyl/Mefenoxam.  RARC Issues Memo, 02/07/2007.

	Metalaxyl/Mefenoxam.  RARC Report, 02/14/2007.

See also:	Mefenoxam.  MARC Issues Memo, 10/17/2000.

		Mefenoxam.  MARC Decision Memo, 10/27/2000.

		Metalaxyl Final Reregistration Standard and Tolerance Reassessment
(FRSTR) 		Guidance Document, 9/88

		Metalaxyl Reregistration Eligibility Decision (RED) Document,
September, 1994.

Given concerns regarding the adequacy of the residue analytical methods
to determine metalaxyl/mefenoxam residues of concern in plant and animal
commodities, the HED Risk Assessment Review Committee (RARC) has
approved the use of factors, as appropriate, derived from available
residue chemistry data, to estimate total metalaxyl/mefenoxam residues
of concern for dietary risk assessments.

Furthermore, the HED RARC has concluded that the metalaxyl/mefenoxam
residues of concern in plant and livestock commodities for dietary
assessments are metalaxyl/mefenoxam per se, its metabolites containing
the 2,6-dimethylaniline (2,6-DMA) moiety, its metabolites containing the
2-hydroxymethyl-6-methylaniline (HMMA) moiety, its metabolites
containing the ring hydroxylated dimethylaniline (Ring-OH) moiety, and
its metabolites containing the benzoic acid moiety.  Essentially, the
Committee has determined that all residues identified in plant and
livestock commodities from the available metabolism studies are of
concern since none can be excluded for toxicological reasons.

Recently HED has determined, after re-evaluation of the available
radiovalidation and method validation data, that the common moiety
residue analytical methods used to collect magnitude of the residue data
for the purposes of setting tolerance levels will not adequately recover
all of the metalaxyl/mefenoxam residues of concern.  While these methods
are adequate to recover residues of metalaxyl/mefenoxam per se, they are
not likely to recover metalaxyl/mefenoxam metabolites containing the
Ring-OH moiety or the benzoic acid moiety and available radiovalidation
and method validation data indicate that the methods will not adequately
recover metabolites containing the HMMA moiety and may not adequately
recover all metabolites containing the 2,6-DMA moiety with the certainty
needed to set legal limits.  However, for the purposes of estimating the
combined residues of metalaxyl/mefenoxam and its metabolites containing
the 2,6-DMA moiety in/on plant and livestock commodities in chronic
dietary risk assessments, these common moiety methods are deemed
adequate for data collection and therefore, current/reassessed tolerance
levels are adequate to account for these residues in the risk analysis.

Plant Commodities

Current/reassessed tolerance levels in plant commodities are expected to
be adequate to estimate the combined residues of metalaxyl/mefenoxam and
its metabolites containing the 2,6-DMA moiety in the chronic dietary
risk assessments.  Available plant (primary and rotational crop)
metabolism data reflecting foliar treatments of metalaxyl have been used
to estimate factors relative to the combined residues of
metalaxyl/mefenoxam and its metabolites containing the
2,6-dimethylaniline (2,6-DMA) moiety, in order to estimate the total
residues of concern.  See Appendix Table 2 below for a summary of the
plant metabolism data used to estimate the factors.  

Factors are estimated as follows:

For leafy commodities, a factor of 4x should be applied to the
current/reassessed tolerance levels used in the chronic dietary risk
assessment to account for all residues of concern.

For fruit and vegetable commodities, no additional factor needs to be
applied to the current/reassessed tolerance levels used in the chronic
dietary risk assessment to account for all residues of concern.

For grain, seed (including dried beans), and nut commodities, a factor
of 25x should be applied to the current/reassessed tolerance levels used
in the chronic dietary risk assessment to account for all residues of
concern.

For snap bean (succulent), a factor of 1.8x should be applied to the
tolerance level in the chronic dietary risk assessment to account for
all residues of concern (ChemSAC minutes of the 2/25/09 meeting).

For caneberries, a factor of 1.3x should be applied to the tolerance
level in the chronic dietary risk assessment to account for all residues
of concern (ChemSAC minutes of the 2/25/09 meeting).

Total residues of concern from indirect or inadvertent exposure to
metalaxyl/mefenoxam for rotational crop commodities listed under 40 CFR
180.408(d) should also include the factors recommended above.

Seed Treatments

In cases, where direct uses of metalaxyl/mefenoxam are limited to seed
treatments only, total residues of concern are not expected to exceed
0.1 ppm based on available plant metabolism data reflecting seed
treatments of metalaxyl on ten different crops.  According to the use
information provided in the Metalaxyl Reregistration Eligibility
Decision (RED) Document (September, 1994) and OPPIN (03/01/2007), among
the direct uses of metalaxyl/mefenoxam limited to seed treatments only
are barley, corn (all types), oats, rye, sorghum, sunflower, and wheat. 
[Note:  This is not intended as a comprehensive list of direct seed
treatment uses of metalaxyl/mefenoxam.]  Hence the total residues of
concern from direct uses of metalaxyl/mefenoxam in/on barley, corn (all
types), oats, rye, sorghum, sunflower, and wheat are estimated at 0.1
ppm, consistent with tolerance levels listed for these commodities under
40 CFR 180.408(a).

Flour of Cereal Grains

See also:  MRID 00114376

Indirect/inadvertent tolerances are currently established for residues
of metalaxyl in/on wheat grain and wheat milling fractions (40.CFR
180.408(d)) at 0.2 ppm and 1.0 ppm, respectively.  The registrant has
previously submitted metalaxyl wheat processing data (MRID 00114376; PP#
2F2764) which were the basis for setting these tolerances.  In brief,
winter wheat grain samples treated with metalaxyl and collected from
field trial tests conducted in MO and KY as part of a wheat field
rotational crop study were processed into flour, bran, shorts/germ, and
red dog flour (a low-grade flour used mainly for animal feed).  Samples
were analyzed using Method I in PAM Vol. II (AG-348) which determines
residues of metalaxyl which are convertible to 2,6-DMA using GLC/AFID. 
The subject wheat grain and flour data are presented below in Appendix
Table 1.  The estimated concentration factors for wheat flour varied
widely, ranging from <0.6x to 3.2x.  Concentration factors above 1.4x
(i.e., the higher concentration factors 3.2x and 2.5x) may be more
unreliable due to estimating residues in grain samples at levels below
the method’s limit of quantitation (0.05 ppm).  Also, the higher
concentration factors are not consistent with the theoretical
concentration factor for wheat flour which is estimated at 1.4x (OPPTS
Guideline 860.1520 Processed Food/Feed) and based on separation of
components.  Taken as a whole, available data suggest that, on average
and for the purposes of estimating residue levels in the chronic dietary
risk assessments, total metalaxyl/mefenoxam residues of concern in wheat
flour are not expected to be significantly higher than those estimated
in/on wheat grain.  This finding may be translated to other cereal
grains.

Fruit Juices

See also:  	PP#6F3362/FAP#6H5493  Metalaxyl and Mancozeb on Grapes (DEB
No. 5557 and 		5558)  Evaluation of Amendment Dated June 23, 1989 (MRID
41150101), G. 			Otakie, 12/11/89.

	

		45613901.der.doc

The available grape juice metabolism data (see Appendix Table 2)
indicate that the combined residues of parent and DMA metabolites
constitute slightly less of the TRR identified (55%) but the TRR found
in juice (1.04 ppm) is much less than the TRR found in grapes (3.06
ppm).  Based on these data, no additional factor (including a processing
factor) is needed to estimate metalaxyl/mefenoxam residues of concern in
fruit juice.  This conclusion is supported by   SEQ CHAPTER \h \r 1
processing studies which have been conducted for metalaxyl on apples
(MRID 00126315; reviewed in the Metalaxyl FRSTR, 9/88), oranges (MRID
00117969; reviewed in the Metalaxyl FRSTR, 9/88), and grapes (MRID
41150101; reviewed in memo by G. Otakie dated 12/11/89, as well as
mefenoxam on grapes (45613901.der.doc) which also demonstrate that
residues of metalaxyl/mefenoxam convertible to 2,6-DMA do not
concentrate in apple, orange, and grape juice samples.  Based on the
available metalaxyl grape juice metabolism data and supported by
available metalaxyl apple, orange, and metalaxyl/mefenoxam grape
processing data, total metalaxyl/mefenoxam residues of concern in fruit
juices are not expected to exceed those estimated in/on the associated
fruits; default concentration factors for fruit juices in the chronic
dietary risk assessments should be reduced to 1x.

Livestock Commodities

Reasonably balanced livestock diets reflecting direct uses of
metalaxyl/mefenoxam were calculated for the express purpose of
estimating meat, milk, poultry, and egg residue estimates for the
chronic dietary risk assessment after consultation with HED staff
designated by the HED Chemistry Science Advisory Committee (ChemSAC) as
having expertise in livestock feeding practices (J. Stokes, HED).
Deviations from the percent of livestock diet specified in the current
Table 1 (OPPTS Guideline 860.1000; August 1996) were recommended and
have been incorporated into the calculations.  Calculations are based on
the information provided in the DRAFT guidance from the HED Chemistry
Science Advisory Council (ChemSAC) dated October/2006 and entitled,
“Revisions of Feedstuff Percentages in Table 1 of Guideline 860.1000
and Guidance on Constructing Reasonably Balanced Livestock Diets”.  

Note:  More conservative reasonably balanced diets which incorporate
more esoteric feedstuffs and the potential for indirect/inadvertent
residues in/on feedstuffs might be needed for the purpose of setting
appropriate tolerance levels in meat, milk, poultry, and egg
commodities.

A reasonably balanced diet (RBD) for mature lactating cows of 40%
roughage, 15% protein concentrate, and 45% carbohydrate concentrate from
alfalfa hay, soybean meal, and field corn grain treated with
metalaxyl/mefenoxam is estimated at 44 ppm.  A RBD for finishing or
feedlot beef of 20% roughage, 10% protein concentrate, and 70%
carbohydrate concentrate from alfalfa hay, soybean meal, and field corn
grain treated with metalaxyl/mefenoxam is estimated at 23 ppm.  RBDs for
finishing or marketable hogs and laying hens of 20% protein concentrate
and 80% carbohydrate concentrate from soybean meal, and field corn grain
treated with metalaxyl/mefenoxam are estimated at 10 ppm.  See Appendix
Table 3 below.

While current/reassessed tolerance levels in livestock commodities are
expected to be adequate to estimate the combined residues of
metalaxyl/mefenoxam and its metabolites containing the 2,6-DMA moiety in
the chronic dietary risk assessments, available livestock metabolism
data are not useful for estimating factors to estimate the total
residues of concern in livestock commodities as was the case for plant
commodities.  Hence, estimates for the total residues of concern in
livestock commodities are estimated from the total radioactive residues
(TRR) found in livestock commodities from the available goat and hen
metabolism data.  See Appendix Table 4 below for a summary of the
livestock data used to estimate the total residues of concern.

Based on the available goat metabolism data, total residues of concern
in milk reflecting a reasonably balanced diet for mature lactating cows
of 40% roughage, 15% protein concentrate, and 45% carbohydrate
concentrate are not expected to exceed 0.05 ppm.  Total residues of
concern in ruminant liver, kidney, meat, and fat reflecting a reasonably
balanced diet for finishing or feedlot beef of 20% roughage, 10% protein
concentrate, and 70% carbohydrate concentrate are not expected to exceed
0.58 ppm, 0.70 ppm, 0.04 ppm, and 0.12 ppm, respectively.  Estimates for
ruminant commodities may be translated to swine commodities since the
dietary burden estimate for swine is less than that for ruminants.

Based on the available hen metabolism data, total residues of concern in
poultry egg, liver, meat, and fat reflecting a reasonably balanced diet
for laying hens of 80% carbohydrate concentrate and 20% protein
concentrate are not expected to exceed 0.04 ppm, 0.14 ppm, 0.07 ppm, and
0.03 ppm, respectively.

Appendix Table 1.  Metalaxyl wheat flour processing data (from Table 5
of MRID 00114376)

Test No.

Test Location

Crop	Treatment Rate	Rep	Commodity	Residues

(ppm) 1	Conc.

Factor	Comments

6209

MO

Winter wheat	Pre-broadcast at 1.0 lb ai/A	B	Grain	0.09	1.4x
Concentration factors (3.2x and 2.5x) based on residue estimates in/on
grain at levels below the method’s LOQ (0.05) may be unreliable and
overestimate the potential for concentration in flour.



	Flour	0.13



	Pre-broadcast at 2.0 lb ai/A	A	Grain	<0.05

(0.044)	3.2x





Flour	0.14





B	Grain	0.09	<0.6x





Flour	<0.05



5834

KY

Winter wheat	After-planting at 2.0 lb ai/A.

Grown as a rotational crop to soybeans treated at 4.0 lb ai/A.	B	Grain
<0.05

(0.032)	2.5x





Flour	0.08



1  Residue values were reportedly corrected for procedural recoveries
but not for control values.  The method of analysis was Method AG-348. 
Residue values in parentheses were provided in MRID 00114376 and are
below the method’s reported limit of quantitation (0.05 ppm).

Appendix Table 2:  Metalaxyl plant (primary and rotational crop)
metabolism data reflecting foliar treatments only.

Commodity	Metabolism Study 

In-Life Summary	TRR

(ppm)	TRR Identified (%)	TRR Identified

w/DMA Moiety	Comments	Conclusions





Percent of TRR	Percent of TRR Identified



Leafy Commodities

Potato foliage	Greenhouse study

6 foliar treatments

w/soil covered

1.125 lb ai/A/appl.

7-day PHI	25.9	60	14.4	24	Based on available metalaxyl potato foliage,
grape leaf, lettuce (primary/rotational), and wheat stalk (rotational)
metabolism data, the combined residues of parent and DMA metabolites
constitute 7-65% of the Total Radioactive Residue (TRR) identified. 
Since all of the residues identified in plants (primary and rotational)
are of concern for the dietary risk assessment, a factor of 4x applied
to the current/reassessed tolerance levels for all leafy commodities
should be adequate to account for all residues of concern for the
chronic dietary risk assessment.

Note that in lettuce the combined residues of parent and DMA metabolites
constitute roughly the same percent of the TRR in primary and rotational
lettuce. 

	For leafy commodities, a factor of 4x should be applied to the
current/reassessed tolerance levels used in the chronic dietary risk
assessment to account for all residues of concern.



	Field study

6 foliar treatments

1.14lb ai/A/appl.

7-day PHI	31.9	57	4.1	7



	Field study

4 foliar treatments

0.18 lb ai/A/appl.

35-day PHI	2.35	69	16.2	23



Grape leaves	Field study

7 foliar treatments

appl. rate NR

52-day PHI	30.13	94	25.4	27



Lettuce	Greenhouse study

4 foliar treatments

0.2 lb ai/A/appl.

7-day PHI	0.67	45	29.4	65



	Greenhouse study

2 foliar treatments

appl. rate NR

14-day PHI	5.47	76	46.5	61



Rotational Lettuce (immature)	Greenhouse study

Primary crop tobacco

Pre-plant incorporation; 

3 lb ai/A.  

Rotational crops planted 8 months after treatment.	0.9	51	21.6	42



Rotational Wheat stalks

7.2	64	13.7	21



Fruit and Vegetable Commodities

Potato tuber	Greenhouse study

6 foliar treatments

w/soil covered

1.125 lb ai/A/appl.

7-day PHI	0.16	41	34.6	84	Based on available metalaxyl potato tuber,
sugar beet root (rotational), and grape metabolism data, the combined
residues of parent and DMA metabolites constitute the major portion
(76-92%) of the Total Radioactive Residue (TRR) identified.  The
current/reassessed tolerance levels for all fruit and vegetable
commodities should be adequate to account for all residues of concern
for the chronic dietary risk assessment.  No additional factor is
needed.

The available grape presscake metabolism data indicate that the combined
residues of parent and DMA metabolites concentrate in wet pomace but
still constitute the same portion of the TRR identified.  No additional
factor is needed.

The available grape juice metabolism data indicate that the combined
residues of parent and DMA metabolites constitute slightly less of the
TRR identified (55%) but the TRR found in juice (1.04 ppm) is much less
than the TRR found in grapes (3.06 ppm).  No additional factor is
needed.

Note that the combined residues of parent and DMA metabolites constitute
roughly the same percent of the TRR in primary (potato tuber )and
rotational (sugar beet root) root/tuber commodities. 

	For fruit and vegetable commodities, no additional factor needs to be
applied to the current/reassessed tolerance levels used in the chronic
dietary risk assessment to account for all residues of concern.

	Field treated study

6 foliar treatments

1.14lb ai/A/appl.

7-day PHI	0.5	72	61.8	86



Rotational Sugar beet root	Greenhouse study

Primary crop tobacco

Pre-plant incorporation; 

3 lb ai/A.  

Rotational crops planted 8 months after treatment	0.3	41	37.9	92



Grapes	Field study

7 foliar treatments

appl. rate NR

52-day PHI	3.06	87	65.9	76



Grape presscake

7.31	73	57.1	78



Grape juice

1.04	16	8.8	55



Grain, Seed (including dried beans), and Nut Commodities

Rotational Wheat grain	Greenhouse study

Primary crop tobacco

Pre-plant incorporation; 

3 lb ai/A.  

Rotational crops planted 8 months after treatment	0.6	37	1.3	4	Based on
available wheat grain (rotational) metabolism data, the combined
residues of parent and DMA metabolites constitute 4% of the Total
Radioactive Residue (TRR) identified.  Since all of the residues
identified in plants (primary and rotational) are of concern for the
dietary risk assessment, a factor of 25x applied to the
current/reassessed tolerance levels for all grain commodities should be
adequate to account for all residues of concern for the chronic dietary
risk assessment.	For grain commodities, a factor of 25x should be
applied to the current/reassessed tolerance levels used in the chronic
dietary risk assessment to account for all residues of concern.  This
same factor (25x) should be translated to all seed (including dried
beans) and nut commodities.



Appendix Table 3.  Livestock dietary burden estimates from direct uses
of metalaxyl/mefenoxam

Feedstuff	Tolerance

Level 1

(ppm)	Factor 2	%DM	% of Diet Used 3	Dietary Burden, ppm





Beef	Dairy	Poultry	Swine	Beef	Dairy	Poultry	Swine

Alfalfa, hay	20.00	4x	89	20	40	NU 4	NU	18	36	---	---

Soybean, meal	2.0	25x	92	10	15	20	20	5	8	10	10

Corn, field, grain	0.1	None	88	70	45	80	80	>1	>1	>1	>1

	Total	100	100	100	100	23	44	10	10

1	Based on reassessed tolerance levels recommended in the Metalaxyl RED
Document, September 1994 

2	Factors used to estimate total residues of concern in plant
commodities recommended herein.  See Appendix Table 2 and the discussion
under plant commodities above.

3	Based on DRAFT guidance from the HED Chemistry Science Advisory
Council (ChemSAC) dated October/2006 and entitled, “Revisions of
Feedstuff Percentages in Table 1 of Guideline 860.1000 and Guidance on
Constructing Reasonably Balanced Livestock Diets”.

4	NU = Not Used



Appendix Table 4.  Estimated total metalaxyl/mefenoxam residues of
concern in livestock commodities from metalaxyl metabolism data.

Commodity	Metabolism Study

In-Life summary	Metabolism Study Dose Relative to the Livestock Dietary
Burden Estimate	Maximum TRR Found in Metabolism Study (ppm)	Maximum
Residues Estimated at 1x the Livestock Dietary Burden Estimate (ppm)

Milk	Goat Metabolism

Two goats

4 days at 76.9 ppm	1.7x	0.089	0.05

Liver

3.3x	1.915	0.58

Kidney

	2.296	0.70

Muscle

	0.138	0.04

Fat

	0.400	0.12

Liver	Poultry Metabolism

Five hens

4 days at 100 ppm	10x	1.4	0.14

Egg	Poultry Metabolism

Five hens

5 days at 100 ppm

0.4	0.04

Thigh

	0.7	0.07

Fat

	0.3	0.03



Attachment 1.  Metalaxyl and  Mefenoxam Usage Reports and Comparison

	

METALAXYL** 113501

Screening Level Usage Analysis (SLUA)

Date: April 7, 2009 

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 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 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 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 2001 to
2007.

Private pesticide market research – pesticide usage data from 2001 to
2007.

NPUD 2002 (National Pesticide Use Database) pesticide usage data from
NPUD 02 of the CropLife Foundation are used only if data are not
available from the other sources.

California Department of Pesticide Regulation (DPR) Pesticide Use
Reporting (PUR) data for 2000 to 2005 when 95% or more of a crop is
grown California.

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).  	 		



April 7, 2009

Screening Level Estimates of Agricultural Uses of METALAXYL (113501)

Sorted Alphabetically

	  	 		

		            Crop				Lbs. A.I.			    Percent Crop Ttd.	  	 										  
   Avg.       Max.

		

	1 	Almonds *	<500	N/C         N/C	

	2 	Beans, Green	2,000	5               10

	3 	Brussels Sprouts *	<500	 N/C          N/C	

	4 	Cabbage	1,000	5               10

	5 	Cantaloupes	1,000	5               10

	6 	Chicory *	<500    	N/C           N/C	

	7 	Cotton	2,000	<2.5          <2.5

	8 	Cucumbers	<500	5                 5

	9 	Grapes +	<500	<2.5               5

	10	Onions	2,000	10              20

	11	Oranges	1,000	<1           <2.5

	12	Potatoes	30,000	15              20

	13	Pumpkins	<500	<2.5          <2.5

	14	Raspberries	<500	5                 5

	15	Soybeans	3,000	<1           <2.5

	16	Spinach	1,000	5                5

	17	Squash	1,000	5              15

	18	Tomatoes	<500	<1           <2.5

	19	Watermelons	1,000	5              10

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.	

* CA data only, but 95% or more of U.S. acres are in California		

**  NASS may have misquoted some mefenoxam-containing products as
containing metalaxyl.  	  	 		

SLUA data sources include: USDA-NASS (United States Department of
Agriculture's National Agricultural Statistics Service); 2001-2007

	Private Pesticide Market Research, 2001-2007

	NPUD 2002 (National Pesticide Use Database) of the CropLife America
Foundation and  

           California DPR data.

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

N/C = Not Calculated	

+ = These crops were not known to be listed on active end use product
registrations when this report was run.

	

MEFENOXAM (113502)

Screening Level Usage Analysis (SLUA)

Date: May 5, 2009 

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 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 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 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 2001 to
2007.

Private pesticide market research – pesticide usage data from 2001 to
2007.

NPUD 2002 (National Pesticide Use Database) pesticide usage data from
NPUD 02 of the CropLife Foundation are used only if data are not
available from the other sources.

California Department of Pesticide Regulation (DPR) Pesticide Use
Reporting (PUR) data for 2000 to 2005 when 95% or more of a crop is
grown California.

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).  	 		

                             

May 5, 2009

Screening Level Estimates of Agricultural Uses of MEFENOXAM (113502)

Sorted Alphabetically

	  	 		

		            Crop 			  Lbs. A.I.			    Percent Crop Ttd.	  	 							   
      		     Avg.     	Max.

  	1 	Almonds	2,000	<1            <2.5

	2 	Apples	2,000	<1            <2.5

	3 	Artichokes	<500	5               10

	4 	Asparagus	3,000	10               20

	5 	Avocados	5,000	<2.5            <2.5

	6 	Beans, Green	4,000	10               20

	7 	Beets ( NPUD '02 )	<500	N/C	5

	8 	Blueberries	<500	<1            <2.5

	9 	Broccoli	2,000	10               20

	10	Brussels Sprouts *	<500	N/C	N/C	

	11	Cabbage	4,000	10               25

	12	Caneberries +	2,000	15               25

	13	Cantaloupes	3,000	10               25

	14	Carrots	20,000	35               55

	15	Cauliflower	1,000	5               15

	16	Celery	1,000	5               20

	17	Cherries	<500	<1            <2.5

	18	Chicory *	<500	N/C	N/C	

	19	Cotton	10,000	5               25

	20	Cucumbers	7,000	10               25

	21	Dry Beans/Peas	<500	<1            <2.5

	22	Garlic	2,000	15               25

	23	Grapefruit	4,000	5               15

	24	Grapes	<500	<1            <2.5

	25	Honeydew	<500	5               10

	26	Hops ( NPUD '02 )	1,000	N/C	15

	27	Kiwifruit *	<500	N/C	N/C	

	28	Lemons	2,000	5               10

	29	Lettuce	10,000	10               20

	30	Nectarines *	<500	N/C	N/C	

	31	Olives * +	<500	N/C	N/C	

	32	Onions	10,000	30               45

	33	Oranges	30,000	5               10

	34	Parsley ( NPUD '02 )	<500	N/C	<1

	35	Peaches	<500	<1            <2.5

	36	Peanuts	1,000	<1            <2.5

	37	Peas, Green	1,000	<2.5            <2.5

	38	Peppers	6,000	15               25

	39	Pistachios * +	<500	 N/C           N/C	

	40	Potatoes	50,000	20               35

	41	Pumpkins	2,000	5               15

	42	Raspberries	2,000	20               25

	43	Rice	<500	<1            <2.5

     44	Seed Crops ( NPUD '02 ) +	<500	N/C  	<1

	45	Sod ( NPUD '02 ) +	1,000	N/C	5

	

	46	Soybeans	10,000	10             15

	47	Spinach	20,000	55             80

	48	Squash	3,000	10             25

	49	Strawberries	4,000	10             30

	50	Sugar Beets	1,000	<1          <2.5

	51	Sweet Corn	<500	<1          <2.5

	52	Tangerines	3,000	10             15

	53	Tobacco	30,000	15             20

	54	Tomatoes	30,000	15             20

	55	Walnuts	1,000	<1          <2.5

	56	Watermelons	10,000	15             25

	  	 		

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.	

* CA data only, but 95% or more of U.S. acres are in California		

	  	 		

SLUA data sources include: USDA-NASS (United States Department of
Agriculture's National Agricultural Statistics Service); 2001-2007

	Private Pesticide Market Research, 2001-2007

	NPUD 2002 (National Pesticide Use Database) of the CropLife America
Foundation and  

           California DPR data.

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

            public.

	

N/C: not calculated

+ = These crops were not known to be listed on active end use product
registrations when this report was run.

Percent Crop Treated Data Comparison Tables

Table A.1.  Percent Crop Treated Comparison for Mefenoxam and Metalaxyl

Commodity	Average Percent Crop Treated Data

	Mefenoxam

 5/5/09	Metalaxyl

4/7/09

Almonds	<1	N/C*

Apples	<1

	Artichokes	5

	Asparagus	10

	Avocados	<2.5

	Beans, green	10	5

Beets 	N/C*

	Blueberries	<1

	Broccoli	10

	Brussels sprouts	N/C	N/C

Cabbage	10	5

Caneberries	15

	Cantaloupes	10	5

Carrots	35

	Cauliflower	5

	Celery	5

	Cherries	<1

	Chicory	N/C	N/C

Cotton	5	<2.5

Cucumbers	10	5

Dry Beans/Peas	<1

	Garlic	15

	Grapefruit	5

	Grapes	<1	No registration

Honeydew	5

	Hops	N/C

	Kiwifruit	N/C

	Lemons	5

	Lettuce	10

	Nectarines	N/C

	Olives	N/C

	Onions	30	10

Oranges	5	<1

Parsley	N/C

	Peaches	<1

	Peanuts	<1

	Peas, green	<2.5

	Peppers	15

	Pistachios	N/C

	Potatoes	20	15

Prunes and plums	--

	Pumpkins	5	<2.5

Radishes	--

	Raspberries	20	5

Rice	<1

	Seed crops	N/C

	Soybeans	10	<1

Spinach	55	5

Squash	10	5

Strawberries	10

	Sugar beets	<1

	Sweet corn	<1

	Tangerines	10

	Tobacco	15

	Tomatoes	15	<1

Walnuts	<1

	Watermelons	15	5

*N/C = not calculated.

Attachment 2 – Chronic Food plus Water Residue Input File

Filename: C:\Documents and Settings\NDODD\My
Documents\Deemfcidndodd\Metalaxy Mefenoxam\MefenoxamMetalaxyl070210.R98

Chemical: Metalaxyl

RfD(Chronic): .074 mg/kg bw/day  NOEL(Chronic): 7.4 mg/kg bw/day

RfD(Acute): 0 mg/kg bw/day  NOEL(Acute):  0 mg/kg bw/day

Date created/last modified: 07-02-2010/14:37:53/8          Program ver.
2.03

------------------------------------------------------------------------
--------

  EPA    Crop                                   Def Res     Adj.Factors 
 Comment

  Code    Grp  Commodity Name                    (ppm)       #1    #2   

-------- ---- -------------------------------  ----------  ------ ------
 -------

95000160 O    Artichoke, globe                   0.050000   1.000  0.050
 

95000190 O    Asparagus                          7.000000   1.000  0.100
 

95000200 O    Avocado                            4.000000   1.000  0.025
 

95000740 O    Canistel                           0.400000   1.000  1.000
 

95001280 O    Cottonseed, oil                    2.500000   1.000  0.050
 res = 

          Full comment: res = tol (0.1) x 25

95001281 O    Cottonseed, oil-babyfood           2.500000   1.000  0.050
 res = 

          Full comment: res = tol (0.1) x 25

95001300 O    Cranberry                          4.000000   1.000  1.000
 

95001301 O    Cranberry-babyfood                 4.000000   1.000  1.000
 

95001310 O    Cranberry, dried                   4.000000   1.000  1.000
 

95001320 O    Cranberry, juice                   4.000000   1.000  1.000
 

95001321 O    Cranberry, juice-babyfood          4.000000   1.000  1.000
 

95001750 O    Grape                              2.000000   1.000  0.010
 

95001760 O    Grape, juice                       2.000000   1.000  0.010
 

95001761 O    Grape, juice-babyfood              2.000000   1.000  0.010
 

95001770 O    Grape, leaves                      8.000000   1.000  0.010
 res = 

          Full comment: res = tol (2) x 4

95001780 O    Grape, raisin                      6.000000   1.000  0.010
 

95001880 O    Hop                               20.000000   1.000  1.000
 

95001950 O    Kiwifruit                          0.100000   1.000  1.000
 

95002150 O    Mango                              0.400000   1.000  1.000
 

95002151 O    Mango-babyfood                     0.400000   1.000  1.000
 

95002160 O    Mango, dried                       0.400000   1.000  1.000
 

95002170 O    Mango, juice                       0.400000   1.000  1.000
 

95002171 O    Mango, juice-babyfood              0.400000   1.000  1.000
 

95002450 O    Papaya                             0.400000   1.000  1.000
 

95002451 O    Papaya-babyfood                    0.400000   1.000  1.000
 

95002460 O    Papaya, dried                      0.400000   1.800  1.000
 

95002470 O    Papaya, juice                      0.400000   1.000  1.000
 

95002630 O    Peanut                             5.000000   1.000  0.010
 res = 

          Full comment: res = tol (0.2) x 25

95002640 O    Peanut, butter                     5.000000   1.890  0.010
 res = 

          Full comment: res = tol (0.2) x 25

95002650 O    Peanut, oil                        5.000000   1.000  0.010
 res = 

          Full comment: res = tol (0.2) x 25

95002790 O    Pineapple                          0.100000   1.000  1.000
 

95002791 O    Pineapple-babyfood                 0.100000   1.000  1.000
 

95002800 O    Pineapple, dried                   0.100000   5.000  1.000
 

95002810 O    Pineapple, juice                   0.100000   1.000  1.000
 

95002811 O    Pineapple, juice-babyfood          0.100000   1.000  1.000
 

95003330 O    Sapote, Mamey                      0.400000   1.000  1.000
 

95003580 O    Starfruit                          0.200000   1.000  1.000
 

95003590 O    Strawberry                        10.000000   1.000  0.100
 

95003591 O    Strawberry-babyfood               10.000000   1.000  0.100
 

95003600 O    Strawberry, juice                 10.000000   1.000  0.100
 

95003601 O    Strawberry, juice-babyfood        10.000000   1.000  0.100
 

95003610 O    Sugar apple                        0.200000   1.000  1.000
 

86010000 O    Water, direct, all sources         0.036700   1.000  1.000
 

86020000 O    Water, indirect, all sources       0.036700   1.000  1.000
 

21000440 M    Beef, meat                         0.040000   1.000  1.000
 Reason

          Full comment: Reasonably Balanced Diet (RBD)

21000441 M    Beef, meat-babyfood                0.040000   1.000  1.000
 RBD

21000450 M    Beef, meat, dried                  0.040000   1.920  1.000
 RBD

21000460 M    Beef, meat byproducts              0.700000   1.000  1.000
 RBD

21000461 M    Beef, meat byproducts-babyfood     0.700000   1.000  1.000
 RBD

21000470 M    Beef, fat                          0.120000   1.000  1.000
 RBD

21000471 M    Beef,fat-babyfood                  0.120000   1.000  1.000
 RBD

21000480 M    Beef, kidney                       0.700000   1.000  1.000
 RBD

21000490 M    Beef, liver                        0.580000   1.000  1.000
 RBD

21000491 M    Beef, liver-babyfood               0.580000   1.000  1.000
 RBD

23001690 M    Goat, meat                         0.040000   1.000  1.000
 RBD

23001700 M    Goat, meat byproducts              0.700000   1.000  1.000
 RBD

23001710 M    Goat, fat                          0.120000   1.000  1.000
 RBD

23001720 M    Goat, kidney                       0.700000   1.000  1.000
 RBD

23001730 M    Goat, liver                        0.580000   1.000  1.000
 RBD

24001890 M    Horse, meat                        0.040000   1.000  1.000
 

28002210 M    Meat, game                         0.040000   1.000  1.000
 RBD

25002900 M    Pork, meat                         0.040000   1.000  1.000
 RBD

25002901 M    Pork, meat-babyfood                0.040000   1.000  1.000
 RBD

25002910 M    Pork, skin                         0.120000   1.000  1.000
 RBD

25002920 M    Pork, meat byproducts              0.700000   1.000  1.000
 RBD

25002921 M    Pork, meat byproducts-babyfood     0.700000   1.000  1.000
 RBD

25002930 M    Pork, fat                          0.120000   1.000  1.000
 RBD

25002931 M    Pork, fat-babyfood                 0.120000   1.000  1.000
 RBD

25002940 M    Pork, kidney                       0.700000   1.000  1.000
 RBD

25002950 M    Pork, liver                        0.580000   1.000  1.000
 RBD

29003120 M    Rabbit, meat                       0.040000   1.000  1.000
 

26003390 M    Sheep, meat                        0.040000   1.000  1.000
 RBD

26003391 M    Sheep, meat-babyfood               0.040000   1.000  1.000
 RBD

26003400 M    Sheep, meat byproducts             0.700000   1.000  1.000
 RBD

26003410 M    Sheep, fat                         0.120000   1.000  1.000
 RBD

26003411 M    Sheep, fat-babyfood                0.120000   1.000  1.000
 RBD

26003420 M    Sheep, kidney                      0.700000   1.000  1.000
 RBD

26003430 M    Sheep, liver                       0.580000   1.000  1.000
 RBD

40000930 P    Chicken, meat                      0.070000   1.000  1.000
 RBD

40000931 P    Chicken, meat-babyfood             0.070000   1.000  1.000
 RBD

40000940 P    Chicken, liver                     0.140000   1.000  1.000
 RBD

40000950 P    Chicken, meat byproducts           0.140000   1.000  1.000
 RBD

40000951 P    Chicken, meat byproducts-babyfoo   0.140000   1.000  1.000
 RBD

40000960 P    Chicken, fat                       0.030000   1.000  1.000
 RBD

40000961 P    Chicken, fat-babyfood              0.030000   1.000  1.000
 RBD

40000970 P    Chicken, skin                      0.030000   1.000  1.000
 RBD

40000971 P    Chicken, skin-babyfood             0.030000   1.000  1.000
 RBD

70001450 P    Egg, whole                         0.040000   1.000  1.000
 RBD

70001451 P    Egg, whole-babyfood                0.040000   1.000  1.000
 RBD

70001460 P    Egg, white                         0.040000   1.000  1.000
 RBD

70001461 P    Egg, white (solids)-babyfood       0.040000   1.000  1.000
 RBD

70001470 P    Egg, yolk                          0.040000   1.000  1.000
 RBD

70001471 P    Egg, yolk-babyfood                 0.040000   1.000  1.000
 RBD

60003010 P    Poultry, other, meat               0.070000   1.000  1.000
 RBD

60003020 P    Poultry, other, liver              0.140000   1.000  1.000
 RBD

60003030 P    Poultry, other, meat byproducts    0.140000   1.000  1.000
 RBD

60003040 P    Poultry, other, fat                0.030000   1.000  1.000
 RBD

60003050 P    Poultry, other, skin               0.030000   1.000  1.000
 RBD

50003820 P    Turkey, meat                       0.070000   1.000  1.000
 RBD

50003821 P    Turkey, meat-babyfood              0.070000   1.000  1.000
 RBD

50003830 P    Turkey, liver                      0.140000   1.000  1.000
 RBD

50003831 P    Turkey, liver-babyfood             0.140000   1.000  1.000
 RBD

50003840 P    Turkey, meat byproducts            0.140000   1.000  1.000
 RBD

50003841 P    Turkey, meat byproducts-babyfood   0.140000   1.000  1.000
 RBD

50003850 P    Turkey, fat                        0.030000   1.000  1.000
 RBD

50003851 P    Turkey, fat-babyfood               0.030000   1.000  1.000
 RBD

50003860 P    Turkey, skin                       0.030000   1.000  1.000
 RBD

50003861 P    Turkey, skin-babyfood              0.030000   1.000  1.000
 RBD

27002220 D    Milk, fat                          0.050000   1.000  1.000
 RBD

27002221 D    Milk, fat - baby food/infant for   0.050000   1.000  1.000
 RBD

27012230 D    Milk, nonfat solids                0.050000   1.000  1.000
 RBD

27012231 D    Milk, nonfat solids-baby food/in   0.050000   1.000  1.000
 RBD

27022240 D    Milk, water                        0.050000   1.000  1.000
 RBD

27022241 D    Milk, water-babyfood/infant form   0.050000   1.000  1.000
 RBD

27032251 D    Milk, sugar (lactose)-baby food/   0.050000   1.000  1.000
 RBD

01030150 1CD  Arrowroot, flour                   0.500000   1.000  1.000
 

01030151 1CD  Arrowroot, flour-babyfood          0.500000   1.000  1.000
 

01030170 1CD  Artichoke, Jerusalem               0.500000   1.000  0.050
 

01010500 1AB  Beet, garden, roots                0.500000   1.000  1.000
 

01010501 1AB  Beet, garden, roots-babyfood       0.500000   1.000  1.000
 

01010520 1A   Beet, sugar                        0.500000   1.000  0.010
 

01010521 1A   Beet, sugar-babyfood               0.500000   1.000  0.010
 

01010530 1A   Beet, sugar, molasses              1.000000   1.000  0.010
 

01010531 1A   Beet, sugar, molasses-babyfood     1.000000   1.000  0.010
 

01010670 1AB  Burdock                            0.500000   1.000  1.000
 

01010780 1AB  Carrot                             0.500000   1.000  0.350
 

01010781 1AB  Carrot-babyfood                    0.500000   1.000  0.350
 

01010790 1AB  Carrot, juice                      0.500000   1.000  0.350
 

01030820 1CD  Cassava                            0.500000   1.000  1.000
 

01030821 1CD  Cassava-babyfood                   0.500000   1.000  1.000
 

01010840 1AB  Celeriac                           0.500000   1.000  1.000
 

01011000 1AB  Chicory, roots                     0.500000   1.000  1.000
 

01031390 1CD  Dasheen, corm                      0.500000   1.000  1.000
 

01031660 1CD  Ginger                             0.500000   1.000  1.000
 

01031661 1CD  Ginger-babyfood                    0.500000   1.000  1.000
 

01031670 1CD  Ginger, dried                      0.500000   1.000  1.000
 

01011680 1AB  Ginseng, dried                     3.000000   1.000  1.000
 

01011900 1AB  Horseradish                        0.500000   1.000  1.000
 

01012500 1AB  Parsley, turnip rooted             0.500000   1.000  1.000
 

01012510 1AB  Parsnip                            0.500000   1.000  1.000
 

01012511 1AB  Parsnip-babyfood                   0.500000   1.000  1.000
 

01032960 1C   Potato, chips                      4.000000   1.000  0.200
 

01032970 1C   Potato, dry (granules/ flakes)     4.000000   1.000  0.200
 

01032971 1C   Potato, dry (granules/ flakes)-b   4.000000   1.000  0.200
 

01032980 1C   Potato, flour                      4.000000   1.000  0.200
 

01032981 1C   Potato, flour-babyfood             4.000000   1.000  0.200
 

01032990 1C   Potato, tuber, w/peel              0.500000   1.000  0.200
 

01032991 1C   Potato, tuber, w/peel-babyfood     0.500000   1.000  0.200
 

01033000 1C   Potato, tuber, w/o peel            0.500000   1.000  0.200
 

01033001 1C   Potato, tuber, w/o peel-babyfood   0.500000   1.000  0.200
 

01013140 1AB  Radish, roots                      0.500000   1.000  1.000
 

01013160 1AB  Radish, Oriental, roots            0.500000   1.000  1.000
 

01013270 1AB  Rutabaga                           0.500000   1.000  1.000
 

01013310 1AB  Salsify, roots                     0.500000   1.000  1.000
 

01033660 1CD  Sweet potato                       0.500000   1.000  1.000
 

01033661 1CD  Sweet potato-babyfood              0.500000   1.000  1.000
 

01033710 1CD  Tanier, corm                       0.500000   1.000  1.000
 

01033870 1CD  Turmeric                           0.500000   1.000  1.000
 

01013880 1AB  Turnip, roots                      0.500000   1.000  1.000
 

01034060 1CD  Yam, true                          0.500000   1.000  1.000
 

01034070 1CD  Yam bean                           0.500000   1.000  1.000
 

02000510 2    Beet, garden, tops                60.000000   1.000  1.000
 res = 

          Full comment: res = tol (15) x 4

02001010 2    Chicory, tops                     60.000000   1.000  1.000
 res = 

          Full comment: res = tol (15) x 4

02001400 2    Dasheen, leaves                   60.000000   1.000  1.000
 res = 

          Full comment: res = tol (15) x 4

02003150 2    Radish, tops                      60.000000   1.000  1.000
 res = 

          Full comment: res = tol (15) x 4

02003170 2    Radish, Oriental, tops            60.000000   1.000  1.000
 res = 

          Full comment: res = tol (15) x 4

02003320 2    Salsify, tops                     60.000000   1.000  1.000
 res = 

          Full comment: res = tol (15) x 4

03001640 3    Garlic                             3.000000   1.000  0.150
 

03001650 3    Garlic, dried                      3.000000   1.000  0.150
 

03001651 3    Garlic, dried-babyfood             3.000000   1.000  0.150
 

03001980 3    Leek                              10.000000   1.000  1.000
 

03002370 3    Onion, dry bulb                    3.000000   1.000  0.300
 

03002371 3    Onion, dry bulb-babyfood           3.000000   1.000  0.300
 

03002380 3    Onion, dry bulb, dried             3.000000   9.000  0.300
 

03002381 3    Onion, dry bulb, dried-babyfood    3.000000   9.000  0.300
 

03002390 3    Onion, green                      10.000000   1.000  0.300
 

03003380 3    Shallot                            3.000000   1.000  1.000
 

04010050 4A   Amaranth, leafy                   20.000000   1.000  1.000
 res = 

          Full comment: res = tol (5) x 4

04010180 4A   Arugula                           20.000000   1.000  1.000
 res = 

          Full comment: res = tol (5) x 4

04020760 4B   Cardoon                           20.000000   1.000  1.000
 res = 

          Full comment: res = tol (5) x 4

04020850 4B   Celery                            20.000000   1.000  0.050
 res = 

          Full comment: res = tol (5) x 4

04020851 4B   Celery-babyfood                   20.000000   1.000  0.050
 res = 

          Full comment: res = tol (5) x 4

04020860 4B   Celery, juice                     20.000000   1.000  0.050
 res = 

          Full comment: res = tol (5) x 4

04020870 4B   Celtuce                           20.000000   1.000  1.000
 res = 

          Full comment: res = tol (5) x 4

04011040 4A   Chrysanthemum, garland            20.000000   1.000  1.000
 res = 

          Full comment: res = tol (5) x 4

04011330 4A   Cress, garden                     20.000000   1.000  1.000
 res = 

          Full comment: res = tol (5) x 4

04011340 4A   Cress, upland                     20.000000   1.000  1.000
 res = 

          Full comment: res = tol (5) x 4

04011380 4A   Dandelion, leaves                 20.000000   1.000  1.000
 res = 

          Full comment: res = tol (5) x 4

04011500 4A   Endive                            20.000000   1.000  1.000
 res = 

          Full comment: res = tol (5) x 4

04021520 4B   Fennel, Florence                  20.000000   1.000  1.000
 res = 

          Full comment: res = tol (5) x 4

04012040 4A   Lettuce, head                     20.000000   1.000  0.100
 res = 

          Full comment: res = tol (5) x 4

04012050 4A   Lettuce, leaf                     20.000000   1.000  0.100
 res = 

          Full comment: res = tol (5) x 4

04012480 4A   Parsley, leaves                   20.000000   1.000  1.000
 res = 

          Full comment: res = tol (5) x 4

04013130 4A   Radicchio                         20.000000   1.000  1.000
 res = 

          Full comment: res = tol (5) x 4

04023220 4B   Rhubarb                           20.000000   1.000  1.000
 res = 

          Full comment: res = tol (5) x 4

04013550 4A   Spinach                           40.000000   1.000  0.550
 res = 

          Full comment: res = tol (10) x 4

04013551 4A   Spinach-babyfood                  40.000000   1.000  0.550
 res = 

          Full comment: res = tol (10) x 4

04023670 4B   Swiss chard                       20.000000   1.000  1.000
 res = 

          Full comment: res = tol (5) x 4

05010610 5A   Broccoli                           2.000000   1.000  0.100
 

05010611 5A   Broccoli-babyfood                  2.000000   1.000  0.100
 

05010620 5A   Broccoli, Chinese                  2.000000   1.000  1.000
 

05020630 5B   Broccoli raab                      2.000000   1.000  1.000
 

05010640 5A   Brussels sprouts                   2.000000   1.000  1.000
 

05010690 5A   Cabbage                            4.000000   1.000  0.100
 res = 

          Full comment: res = tol (1) x 4

05020700 5B   Cabbage, Chinese, bok choy         4.000000   1.000  0.100
 res = 

          Full comment: res = tol (1) x 4

05010710 5A   Cabbage, Chinese, napa             4.000000   1.000  0.100
 res = 

          Full comment: res = tol (1) x 4

05010720 5A   Cabbage, Chinese, mustard          4.000000   1.000  0.100
 res = 

          Full comment: res = tol (1) x 4

05010830 5A   Cauliflower                        1.000000   1.000  0.050
 

05021170 5B   Collards                           0.400000   1.000  1.000
 res = 

          Full comment: res = tol (0.1) x 4

05021940 5B   Kale                               0.400000   1.000  1.000
 res = 

          Full comment: res = tol (0.1) x 4

05011960 5A   Kohlrabi                           0.400000   1.000  1.000
 res = 

          Full comment: res = tol (0.1) x 4

05022290 5B   Mustard greens                    20.000000   1.000  1.000
 res = 

          Full comment: res = tol (5.0) x 4

05023180 5B   Rape greens                        0.400000   1.000  1.000
 res = 

          Full comment: res = tol (0.1) x 4

05023890 5B   Turnip, greens                    60.000000   1.000  1.000
 res = 

          Full comment: res = tol (15) x 4

06030300 6C   Bean, black, seed                  5.000000   1.000  0.010
 res = 

          Full comment: res = tol (0.2) x 25

06020310 6B   Bean, broad, succulent             0.200000   1.000  1.000
 

06030320 6C   Bean, broad, seed                  5.000000   1.000  0.010
 res = 

          Full comment: res = tol (0.2) x 25

06020330 6B   Bean, cowpea, succulent            0.200000   1.000  1.000
 

06030340 6C   Bean, cowpea, seed                 5.000000   1.000  0.010
 res = 

          Full comment: res = tol (0.2) x 25

06030350 6C   Bean,  great northern, seed        5.000000   1.000  0.010
 res = 

          Full comment: res = tol (0.2) x 25

06030360 6C   Bean, kidney, seed                 5.000000   1.000  0.010
 res = 

          Full comment: res = tol (0.2) x 25

06020370 6B   Bean, lima, succulent              0.200000   1.000  1.000
 

06030380 6C   Bean, lima, seed                   5.000000   1.000  0.010
 res = 

          Full comment: res = tol (0.2) x 25

06030390 6C   Bean, mung, seed                   5.000000   1.000  0.010
 res = 

          Full comment: res = tol (0.2) x 25

06030400 6C   Bean, navy, seed                   5.000000   1.000  0.010
 res = 

          Full comment: res = tol (0.2) x 25

06030410 6C   Bean, pink, seed                   5.000000   1.000  0.010
 res = 

          Full comment: res = tol (0.2) x 25

06030420 6C   Bean, pinto, seed                  5.000000   1.000  0.010
 res = 

          Full comment: res = tol (0.2) x 25

06010430 6A   Bean, snap, succulent              0.360000   1.000  0.100
 res = 

          Full comment: res = tol (0.2) x 1.8  DP371307

06010431 6A   Bean, snap, succulent-babyfood     0.360000   1.000  0.100
 res = 

          Full comment: res = tol (0.2) x 1.8  DP371307

06030980 6C   Chickpea, seed                     5.000000   1.000  1.000
 res = 

          Full comment: res = tol (0.2) x 25

06030981 6C   Chickpea, seed-babyfood            5.000000   1.000  1.000
 res = 

          Full comment: res = tol (0.2) x 25

06030990 6C   Chickpea, flour                    5.000000   1.000  1.000
 res = 

          Full comment: res = tol (0.2) x 25

06031820 6C   Guar, seed                         5.000000   1.000  1.000
 res = 

          Full comment: res = tol (0.2) x 25

06031821 6C   Guar, seed-babyfood                5.000000   1.000  1.000
 res = 

          Full comment: res = tol (0.2) x 25

06032030 6C   Lentil, seed                       5.000000   1.000  1.000
 res = 

          Full comment: res = tol (0.2) x 25

06022550 6B   Pea, succulent                     0.200000   1.000  0.025
 

06022551 6B   Pea, succulent-babyfood            0.200000   1.000  0.025
 

06032560 6C   Pea, dry                           5.000000   1.000  0.010
 res = 

          Full comment: res = tol (0.2) x 25

06032561 6C   Pea, dry-babyfood                  5.000000   1.000  0.010
 res = 

          Full comment: res = tol (0.2) x 25

06012570 6A   Pea, edible podded, succulent      0.200000   1.000  0.025
 

06032580 6C   Pea, pigeon, seed                  5.000000   1.000  0.010
 res = 

          Full comment: res = tol (0.2) x 25

06022590 6B   Pea, pigeon, succulent             0.200000   1.000  0.025
 

06003470 6    Soybean, seed                      1.000000   1.000  0.100
 

06003480 6    Soybean, flour                     1.000000   1.000  0.100
 

06003481 6    Soybean, flour-babyfood            1.000000   1.000  0.100
 

06003490 6    Soybean, soy milk                  1.000000   1.000  0.100
 

06003491 6    Soybean, soy milk-babyfood or in   1.000000   1.000  0.100
 

06003500 6    Soybean, oil                       1.000000   1.000  0.100
 

06003501 6    Soybean, oil-babyfood              1.000000   1.000  0.100
 

08001480 8    Eggplant                           1.000000   1.000  1.000
 

08002340 8    Okra                               1.000000   1.000  1.000
 

08002700 8    Pepper, bell                       1.000000   1.000  0.150
 

08002701 8    Pepper, bell-babyfood              1.000000   1.000  0.150
 

08002710 8    Pepper, bell, dried                1.000000   1.000  0.150
 

08002711 8    Pepper, bell, dried-babyfood       1.000000   1.000  0.150
 

08002720 8    Pepper, nonbell                    1.000000   1.000  0.150
 

08002721 8    Pepper, nonbell-babyfood           1.000000   1.000  0.150
 

08002730 8    Pepper, nonbell, dried             1.000000   1.000  0.150
 

08003740 8    Tomatillo                          1.000000   1.000  1.000
 

08003750 8    Tomato                             1.000000   1.000  0.150
 

08003751 8    Tomato-babyfood                    1.000000   1.000  0.150
 

08003760 8    Tomato, paste                      3.000000   1.000  0.150
 

08003761 8    Tomato, paste-babyfood             3.000000   1.000  0.150
 

08003770 8    Tomato, puree                      3.000000   1.000  0.150
 

08003771 8    Tomato, puree-babyfood             3.000000   1.000  0.150
 

08003780 8    Tomato, dried                      1.000000  14.300  0.150
 

08003781 8    Tomato, dried-babyfood             1.000000  14.300  0.150
 

08003790 8    Tomato, juice                      1.000000   1.500  0.150
 

09020210 9B   Balsam pear                        1.000000   1.000  1.000
 

09010750 9A   Cantaloupe                         1.000000   1.000  0.100
 

09010800 9A   Casaba                             1.000000   1.000  1.000
 

09020880 9B   Chayote, fruit                     1.000000   1.000  1.000
 

09021020 9B   Chinese waxgourd                   1.000000   1.000  1.000
 

09021350 9B   Cucumber                           1.000000   1.000  0.100
 

09011870 9A   Honeydew melon                     1.000000   1.000  0.050
 

09023080 9B   Pumpkin                            1.000000   1.000  0.025
 

09023090 9B   Pumpkin, seed                      1.000000   1.000  0.025
 

09023560 9B   Squash, summer                     1.000000   1.000  0.100
 

09023561 9B   Squash, summer-babyfood            1.000000   1.000  0.100
 

09023570 9B   Squash, winter                     1.000000   1.000  0.100
 

09023571 9B   Squash, winter-babyfood            1.000000   1.000  0.100
 

09013990 9A   Watermelon                         1.000000   1.000  0.150
 

09014000 9A   Watermelon, juice                  1.000000   1.000  0.150
 

10001060 10   Citrus citron                      1.000000   1.000  1.000
 

10001070 10   Citrus hybrids                     1.000000   1.000  1.000
 

10001080 10   Citrus, oil                        7.000000   1.000  1.000
 

10001800 10   Grapefruit                         1.000000   1.000  0.050
 

10001810 10   Grapefruit, juice                  1.000000   1.000  0.050
 

10001970 10   Kumquat                            1.000000   1.000  1.000
 

10001990 10   Lemon                              1.000000   1.000  0.050
 

10002000 10   Lemon, juice                       1.000000   1.000  0.050
 

10002001 10   Lemon, juice-babyfood              1.000000   1.000  0.050
 

10002010 10   Lemon, peel                        1.000000   1.000  0.050
 

10002060 10   Lime                               1.000000   1.000  1.000
 

10002070 10   Lime, juice                        1.000000   1.000  1.000
 

10002071 10   Lime, juice-babyfood               1.000000   1.000  1.000
 

10002400 10   Orange                             1.000000   1.000  0.050
 

10002410 10   Orange, juice                      1.000000   1.000  0.050
 

10002411 10   Orange, juice-babyfood             1.000000   1.000  0.050
 

10002420 10   Orange, peel                       1.000000   1.000  0.050
 

10003070 10   Pummelo                            1.000000   1.000  1.000
 

10003690 10   Tangerine                          1.000000   1.000  0.100
 

10003700 10   Tangerine, juice                   1.000000   1.000  0.100
 

11000070 11   Apple, fruit with peel             0.200000   1.000  0.010
 

11000080 11   Apple, peeled fruit                0.200000   1.000  0.010
 

11000081 11   Apple, peeled fruit-babyfood       0.200000   1.000  0.010
 

11000090 11   Apple, dried                       0.200000   8.000  0.010
 

11000091 11   Apple, dried-babyfood              0.200000   8.000  0.010
 

11000100 11   Apple, juice                       0.200000   1.000  0.010
 

11000101 11   Apple, juice-babyfood              0.200000   1.000  0.010
 

11000110 11   Apple, sauce                       0.200000   1.000  0.010
 

11000111 11   Apple, sauce-babyfood              0.200000   1.000  0.010
 

12000120 12   Apricot                            1.000000   1.000  1.000
 

12000121 12   Apricot-babyfood                   1.000000   1.000  1.000
 

12000130 12   Apricot, dried                     4.000000   1.000  1.000
 

12000140 12   Apricot, juice                     1.000000   1.000  1.000
 

12000141 12   Apricot, juice-babyfood            1.000000   1.000  1.000
 

12000900 12   Cherry                             1.000000   1.000  0.010
 

12000901 12   Cherry-babyfood                    1.000000   1.000  0.010
 

12000910 12   Cherry, juice                      1.000000   1.000  0.010
 

12000911 12   Cherry, juice-babyfood             1.000000   1.000  0.010
 

12002300 12   Nectarine                          1.000000   1.000  1.000
 

12002600 12   Peach                              1.000000   1.000  0.010
 

12002601 12   Peach-babyfood                     1.000000   1.000  0.010
 

12002610 12   Peach, dried                       1.000000   7.000  0.010
 

12002611 12   Peach, dried-babyfood              1.000000   7.000  0.010
 

12002620 12   Peach, juice                       1.000000   1.000  0.010
 

12002621 12   Peach, juice-babyfood              1.000000   1.000  0.010
 

12002850 12   Plum                               1.000000   1.000  1.000
 

12002851 12   Plum-babyfood                      1.000000   1.000  1.000
 

12002860 12   Plum, prune, fresh                 1.000000   1.000  1.000
 

12002861 12   Plum, prune, fresh-babyfood        1.000000   1.000  1.000
 

12002870 12   Plum, prune, dried                 4.000000   1.000  1.000
 

12002871 12   Plum, prune, dried-babyfood        4.000000   1.000  1.000
 

12002880 12   Plum, prune, juice                 1.000000   1.000  1.000
 

12002881 12   Plum, prune, juice-babyfood        1.000000   1.000  1.000
 

13010550 13A  Blackberry                         0.910000   1.000  0.150
 res = 

          Full comment: res = tol (0.7) x 1.3

13010560 13A  Blackberry, juice                  0.910000   1.000  0.150
 res = 

          Full comment: res = tol (0.7) x 1.3

13010561 13A  Blackberry, juice-babyfood         0.910000   1.000  0.150
 res = 

          Full comment: res = tol (0.7) x 1.3

13020570 13B  Blueberry                          2.000000   1.000  0.010
 

13020571 13B  Blueberry-babyfood                 2.000000   1.000  0.010
 

13010580 13A  Boysenberry                        0.910000   1.000  0.150
 res = 

          Full comment: res = tol (0.7) x 1.3

13021360 13B  Currant                            2.000000   1.000  1.000
 

13021370 13B  Currant, dried                     2.000000   1.000  1.000
 

13011420 13A  Dewberry                           0.910000   1.000  0.150
 res = 

          Full comment: res = tol (0.7) x 1.3

13021490 13B  Elderberry                         2.000000   1.000  1.000
 

13021740 13B  Gooseberry                         2.000000   1.000  1.000
 

13021910 13B  Huckleberry                        2.000000   1.000  1.000
 

13012080 13A  Loganberry                         0.910000   1.000  0.150
 res = 

          Full comment: res = tol (0.7) x 1.3

13013200 13A  Raspberry                          0.910000   1.000  0.200
 res = 

          Full comment: res = tol (0.7) x 1.3

13013201 13A  Raspberry-babyfood                 0.910000   1.000  0.200
 res = 

          Full comment: res = tol (0.7) x 1.3

13013210 13A  Raspberry, juice                   0.910000   1.000  0.200
 res = 

          Full comment: res = tol (0.7) x 1.3

13013211 13A  Raspberry, juice-babyfood          0.910000   1.000  0.200
 res = 

          Full comment: res = tol (0.7) x 1.3

14000030 14   Almond                            12.500000   1.000  0.010
 res = 

          Full comment: res = tol (0.5) x 25

14000031 14   Almond-babyfood                   12.500000   1.000  0.010
 res = 

          Full comment: res = tol (0.5) x 25

14000040 14   Almond, oil                       12.500000   1.000  0.010
 res = 

          Full comment: res = tol (0.5) x 25

14000041 14   Almond, oil-babyfood              12.500000   1.000  0.010
 res = 

          Full comment: res = tol (0.5) x 25

14003910 14   Walnut                            12.500000   1.000  0.010
 

15000250 15   Barley, pearled barley             5.000000   1.000  1.000
 res = 

          Full comment: res = grain tol (0.2) x 25

15000251 15   Barley, pearled barley-babyfood    5.000000   1.000  1.000
 res = 

          Full comment: res = grain tol (0.2) x 25

15000260 15   Barley, flour                      5.000000   1.000  1.000
 res = 

          Full comment: res = grain tol (0.2) x 25

15000261 15   Barley, flour-babyfood             5.000000   1.000  1.000
 res = 

          Full comment: res = grain tol (0.2) x 25

15000270 15   Barley, bran                      25.000000   1.000  1.000
 res = 

          Full comment: res = tol (1.0) x 25

15000650 15   Buckwheat                          2.500000   1.000  1.000
 res = 

          Full comment: res = tol (0.1) x 25

15000660 15   Buckwheat, flour                   2.500000   1.000  1.000
 res = 

          Full comment: res = tol (0.1) x 25

15001200 15   Corn, field, flour                 2.500000   1.000  1.000
 res = 

          Full comment: res = tol (0.1) x 25

15001201 15   Corn, field, flour-babyfood        2.500000   1.000  1.000
 res = 

          Full comment: res = tol (0.1) x 25

15001210 15   Corn, field, meal                  2.500000   1.000  1.000
 res = 

          Full comment: res = tol (0.1) x 25

15001211 15   Corn, field, meal-babyfood         2.500000   1.000  1.000
 res = 

          Full comment: res = tol (0.1) x 25

15001220 15   Corn, field, bran                  2.500000   1.000  1.000
 res = 

          Full comment: res = tol (0.1) x 25

15001230 15   Corn, field, starch                2.500000   1.000  1.000
 res = 

          Full comment: res = tol (0.1) x 25

15001231 15   Corn, field, starch-babyfood       2.500000   1.000  1.000
 res = 

          Full comment: res = tol (0.1) x 25

15001240 15   Corn, field, syrup                 2.500000   1.000  1.000
 res = 

          Full comment: res = tol (0.1) x 25

15001241 15   Corn, field, syrup-babyfood        2.500000   1.000  1.000
 res = 

          Full comment: res = tol (0.1) x 25

15001250 15   Corn, field, oil                   2.500000   1.000  1.000
 res = 

          Full comment: res = tol (0.1) x 25

15001251 15   Corn, field, oil-babyfood          2.500000   1.000  1.000
 res = 

          Full comment: res = tol (0.1) x 25

15001260 15   Corn, pop                          2.500000   1.000  1.000
 res = 

          Full comment: res = tol (0.1) x 25

15001270 15   Corn, sweet                        2.500000   1.000  0.010
 res = 

          Full comment: res = tol (0.1) x 25

15001271 15   Corn, sweet-babyfood               2.500000   1.000  0.010
 res = 

          Full comment: res = tol (0.1) x 25

15002260 15   Millet, grain                      2.500000   1.000  1.000
 res = 

          Full comment: res = tol (0.1) x 25

15002310 15   Oat, bran                          5.000000   1.000  1.000
 res = 

          Full comment: res = grain tol (0.2) x 25

15002320 15   Oat, flour                         5.000000   1.000  1.000
 res = 

          Full comment: res = grain tol (0.2) x 25

15002321 15   Oat, flour-babyfood                5.000000   1.000  1.000
 res = 

          Full comment: res = grain tol (0.2) x 25

15002330 15   Oat, groats/rolled oats            5.000000   1.000  1.000
 res = 

          Full comment: res = grain tol (0.2) x 25

15002331 15   Oat, groats/rolled oats-babyfood   5.000000   1.000  1.000
 res = 

          Full comment: res = grain tol (0.2) x 25

15003230 15   Rice, white                        2.500000   1.000  0.010
 res = 

          Full comment: res = tol (0.1) x 25

15003231 15   Rice, white-babyfood               2.500000   1.000  0.010
 res = 

          Full comment: res = tol (0.1) x 25

15003240 15   Rice, brown                        2.500000   1.000  0.010
 res = 

          Full comment: res = tol (0.1) x 25

15003241 15   Rice, brown-babyfood               2.500000   1.000  0.010
 res = 

          Full comment: res = tol (0.1) x 25

15003250 15   Rice, flour                        2.500000   1.000  0.010
 res = 

          Full comment: res = tol (0.1) x 25

15003251 15   Rice, flour-babyfood               2.500000   1.000  0.010
 res = 

          Full comment: res = tol (0.1) x 25

15003260 15   Rice, bran                         2.500000   1.000  0.010
 res = 

          Full comment: res = tol (0.1) x 25

15003261 15   Rice, bran-babyfood                2.500000   1.000  0.010
 res = 

          Full comment: res = tol (0.1) x 25

15003280 15   Rye, grain                         2.500000   1.000  1.000
 res = 

          Full comment: res = tol (0.1) x 25

15003290 15   Rye, flour                         2.500000   1.000  1.000
 res = 

          Full comment: res = tol (0.1) x 25

15003440 15   Sorghum, grain                     2.500000   1.000  1.000
 res = 

          Full comment: res = tol (0.1) x 25

15003450 15   Sorghum, syrup                     2.500000   1.000  1.000
 res = 

          Full comment: res = tol (0.1) x 25

15003810 15   Triticale, flour                   2.500000   1.000  1.000
 res = 

          Full comment: res = tol (0.1) x 25

15003811 15   Triticale, flour-babyfood          2.500000   1.000  1.000
 res = 

          Full comment: res = tol (0.1) x 25

15004010 15   Wheat, grain                       5.000000   1.000  1.000
 res = 

          Full comment: res = grain tol (0.2) x 25

15004011 15   Wheat, grain-babyfood              5.000000   1.000  1.000
 res = 

          Full comment: res = grain tol (0.2) x 25

15004020 15   Wheat, flour                       5.000000   1.000  1.000
 res = 

          Full comment: res = grain tol (0.2) x 25

15004021 15   Wheat, flour-babyfood              5.000000   1.000  1.000
 res = 

          Full comment: res = grain tol (0.2) x 25

15004030 15   Wheat, germ                       25.000000   1.000  1.000
 res = 

          Full comment: res = tol (1.0) x 25

15004040 15   Wheat, bran                       25.000000   1.000  1.000
 res = 

          Full comment: res = tol (1.0) x 25

15004050 15   Wild rice                          2.500000   1.000  1.000
 res = 

          Full comment: res = tol (0.1) x 25

19010280 19A  Basil, fresh leaves               32.000000   1.000  1.000
 res = 

          Full comment: res = tol (8.0) x 4

19010281 19A  Basil, fresh leaves-babyfood      32.000000   1.000  1.000
 res = 

          Full comment: res = tol (8.0) x 4

19010290 19A  Basil, dried leaves              220.000000   1.000  1.000
 res = 

          Full comment: res = tol (55) x 4

19010291 19A  Basil, dried leaves-babyfood     220.000000   1.000  1.000
 res = 

          Full comment: res = tol (55) x 4

19011030 19A  Chive

                 110-Uncooked; Fresh or N/S; Cook Meth N/S

                                                32.000000   1.000  1.000
 res = 

          Full comment: res = tol (8) x 4

                 210-Cooked; Fresh or N/S; Cook Meth N/S

                                                32.000000   1.000  1.000
 res = 

          Full comment: res = tol (8) x 4

                 211-Cooked; Fresh or N/S; Baked

                                                32.000000   1.000  1.000
 res = 

          Full comment: res = tol (8) x 4

                 212-Cooked; Fresh or N/S; Boiled

                                                32.000000   1.000  1.000
 res = 

          Full comment: res = tol (8) x 4

                 213-Cooked; Fresh or N/S; Fried

                                                32.000000   1.000  1.000
 res = 

          Full comment: res = tol (8) x 4

                 221-Cooked; Frozen; Baked      32.000000   1.000  1.000
 res = 

          Full comment: res = tol (8) x 4

                 240-Cooked; Canned; Cook Meth N/S

                                               220.000000   1.000  1.000
 res = 

          Full comment: res = tol (55) x 4

                 242-Cooked; Canned; Boiled    220.000000   1.000  1.000
 res = 

          Full comment: res = tol (55) x 4

19011180 19A  Coriander, leaves

                 110-Uncooked; Fresh or N/S; Cook Meth N/S

                                                32.000000   1.000  1.000
 res = 

          Full comment: res = tol (8) x 4

                 150-Uncooked; Cured etc; Cook Meth N/S

                                                32.000000   1.000  1.000
 res = 

          Full comment: res = tol (8) x 4

                 210-Cooked; Fresh or N/S; Cook Meth N/S

                                                32.000000   1.000  1.000
 res = 

          Full comment: res = tol (8) x 4

                 211-Cooked; Fresh or N/S; Baked

                                                32.000000   1.000  1.000
 res = 

          Full comment: res = tol (8) x 4

                 212-Cooked; Fresh or N/S; Boiled

                                                32.000000   1.000  1.000
 res = 

          Full comment: res = tol (8) x 4

                 213-Cooked; Fresh or N/S; Fried

                                                32.000000   1.000  1.000
 res = 

          Full comment: res = tol (8) x 4

                 221-Cooked; Frozen; Baked     220.000000   1.000  1.000
 res = 

          Full comment: res = tol (55) x 4

                 230-Cooked; Dried; Cook Meth N/S

                                               220.000000   1.000  1.000
 res = 

          Full comment: res = tol (55) x 4

                 232-Cooked; Dried; Boiled     220.000000   1.000  1.000
 res = 

          Full comment: res = tol (55) x 4

                 240-Cooked; Canned; Cook Meth N/S

                                               220.000000   1.000  1.000
 res = 

          Full comment: res = tol (55) x 4

                 242-Cooked; Canned; Boiled    220.000000   1.000  1.000
 res = 

          Full comment: res = tol (55) x 4

                 250-Cooked; Cured etc; Cook Meth N/S

                                               220.000000   1.000  1.000
 res = 

          Full comment: res = tol (55) x 4

                 252-Cooked; Cured etc; Boiled 220.000000   1.000  1.000
 res = 

          Full comment: res = tol (55) x 4

                 253-Cooked; Cured etc; Fried  220.000000   1.000  1.000
 res = 

          Full comment: res = tol (55) x 4

19011181 19A  Coriander, leaves-babyfood       220.000000   1.000  1.000
 res = 

          Full comment: res = tol (55) x 4

19011840 19A  Herbs, other                     220.000000   1.000  1.000
 res = 

          Full comment: res = tol (55) x 4

19011841 19A  Herbs, other-babyfood            220.000000   1.000  1.000
 res = 

          Full comment: res = tol (55) x 4

19012020 19A  Lemongrass                       220.000000   1.000  1.000
 res = 

          Full comment: res = tol (55) x 4

19012201 19A  Marjoram-babyfood                220.000000   1.000  1.000
 res = 

          Full comment: res = tol (55) x 4

19012491 19A  Parsley, dried leaves-babyfood   220.000000   1.000  1.000
 res = 

          Full comment: res = tol (55) x 4

Attachment 3 – Chronic Results File	

U.S. Environmental Protection Agency                                
Ver. 2.00

DEEM-FCID Chronic analysis for METALAXYL                        (1994-98
data)

Residue file name: C:\Documents and Settings\NDODD\My
Documents\Deemfcidndodd\Metalaxy Mefenoxam\MefenoxamMetalaxyl070210.R98

                                                     Adjustment factor
#2 used.

Analysis Date 07-02-2010/14:39:14     Residue file dated:
07-02-2010/14:37:53/8

Reference dose (RfD, Chronic) = .074 mg/kg bw/day

========================================================================
=======

                    Total exposure by population subgroup

------------------------------------------------------------------------
-------

                                                    Total Exposure

                                        
-----------------------------------

          Population                         mg/kg             Percent
of   

           Subgroup                       body wt/day             Rfd   
   

--------------------------------------   -------------      
---------------

U.S. Population (total)                     0.018848               
25.5%

U.S. Population (spring season)             0.019121               
25.8%

U.S. Population (summer season)             0.018485               
25.0%

U.S. Population (autumn season)             0.018785               
25.4%

U.S. Population (winter season)             0.019023               
25.7%

Northeast region                            0.019065               
25.8%

Midwest region                              0.019343               
26.1%

Southern region                             0.018216               
24.6%

Western region                              0.019124               
25.8%

Hispanics                                   0.018074               
24.4%

Non-hispanic whites                         0.018723               
25.3%

Non-hispanic blacks                         0.020044               
27.1%

Non-hisp/non-white/non-black                0.019347               
26.1%

All infants (< 1 year)                      0.020147               
27.2%

Nursing infants                             0.008825               
11.9%

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                        0.024445                33.0%

Children 1-6  yrs                           0.040723               
55.0%

Children 7-12 yrs                           0.026578               
35.9%

Females 13-19 (not preg or nursing)         0.015803               
21.4%

Females 20+ (not preg or nursing)           0.014181               
19.2%

Females 13-50 yrs                           0.015378               
20.8%

Females 13+ (preg/not nursing)              0.015163               
20.5%

Females 13+ (nursing)                       0.017713               
23.9%

Males 13-19 yrs                             0.020077               
27.1%

Males 20+ yrs                               0.015941               
21.5%

Seniors 55+                                 0.013895               
18.8%

Children 1-2 yrs                            0.042959               
58.1%

Children 3-5 yrs                            0.041014               
55.4%

Children 6-12 yrs                           0.027915               
37.7%

Youth 13-19 yrs                             0.017987               
24.3%

Adults 20-49 yrs                            0.015700               
21.2%

Adults 50+ yrs                              0.013914               
18.8%

Females 13-49 yrs                           0.014792               
20.0%

------------------------------------------------------------------------
-------

Mefenoxam	Dietary Exposure and Risk Assessment	DP Number: 371309	

PC Code:  113502								Page   PAGE  1  of   NUMPAGES  40 

________________________________________________________________________
______________

Page   PAGE  1  of   NUMPAGES  40 

Mefenoxam	Dietary Exposure and Risk Assessment	DP Number: 371309	

PC Code:  113502		

________________________________________________________________________
______________

