[Federal Register: November 24, 2010 (Volume 75, Number 226)]
[Notices]
[Page 71686-71687]
[DOCID:fr24no10-76]

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ENVIRONMENTAL PROTECTION AGENCY

[EPA-HQ-OA-2010-0757; FRL-9231-6]

Agency Information Collection Activities; Proposed Collection;
Comment Request; Confidential Financial Disclosure Form for Special
Government Employees Serving on Federal Advisory Committees at the U.S.
Environmental Protection Agency (Renewal); EPA ICR No. 2260.04, OMB
Control No. 2090-0029

AGENCY: Environmental Protection Agency.

ACTION: Notice.

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SUMMARY: In compliance with the Paperwork Reduction Act (PRA) (44
U.S.C. 3501 et seq.), this document announces that EPA is planning to
submit a request to renew an existing approved Information Collection
Request (ICR) to the Office of Management and Budget (OMB). This ICR is
scheduled to expire on 05/31/2011. Before submitting the ICR to OMB for
review and approval, EPA is soliciting comments on specific aspects of
the proposed information collection as described below.

DATES: Comments must be submitted on or before January 24, 2011.

ADDRESSES: Submit your comments, identified by Docket ID No. EPA-HQ-OA-
2010-0757 by one of the following methods:
     http://www.regulations.gov: Follow the online instructions
for submitting comments.
     E-mail<EMAIL_ADDRESS>     Fax:<PHONE_NUMBER>.
     Mail: OEI Docket, Environmental Protection Agency, Mail
Code: 28221T, 1200 Pennsylvania Ave., NW., Washington, DC 20460.
     Hand Delivery: EPA Docket Center, EPA West Room 3334, 1301
Constitution Ave., NW., Washington, DC 20460. Such deliveries are only
accepted during the Docket's normal hours of operation, and special
arrangements should be made for deliveries of boxed information.
    Instructions: Direct your comments to Docket ID No. EPA-HQ-OA-2010-
0757. EPA's policy is that all comments received will be included in
the public docket without change and may be made available online at
http://www.regulations.gov, including any personal information
provided, unless the comment includes information claimed to be
Confidential Business Information (CBI) or other information whose
disclosure is restricted by statute. Do not submit information that you
consider to be CBI or otherwise protected through http://
www.regulations.gov or e-mail. The http://www.regulations.gov Web site
is an ``anonymous access'' system, which means EPA will not know your
identity or contact information unless you provide it in the body of
your comment. If you send an e-mail comment directly to EPA without
going through http://www.regulations.gov your e-mail address will be
automatically captured and included as part of the comment that is
placed in the public docket and made available on the Internet. If you
submit an electronic comment, EPA recommends that you include your name
and other contact information in the body of your comment and with any
disk or CD-ROM you submit. If EPA cannot read your comment due to
technical difficulties and cannot contact you for clarification, EPA
may not be able to consider your comment. Electronic files should avoid
the use of special characters, any form of encryption, and be free of
any defects or viruses. For additional information about EPA's public
docket visit the EPA Docket Center homepage at http://www.epa.gov/
dockets.

FOR FURTHER INFORMATION CONTACT: Vicki Ellis, Office of Federal
Advisory Committee Management and Outreach, Mail Code 1601M,
Environmental Protection Agency, 1200 Pennsylvania Ave., NW.,
Washington, DC 20460; telephone number:<PHONE_NUMBER>; fax number: 202-
564-8129; e-mail address<EMAIL_ADDRESS>
SUPPLEMENTARY INFORMATION:

How can I access the docket and/or submit comments?

    EPA has established a public docket for this ICR under Docket ID
No. EPA-HQ-OA-2010-0757, which is available for online viewing at
www.regulations.gov, or in person viewing at the Environmental
Information Docket in the EPA Docket Center (EPA/DC), EPA West, Room
3334, 1301 Constitution Ave., NW., Washington, DC. The EPA/DC Public
Reading Room is open from 8:30 a.m. to 4:30 p.m., Monday through
Friday, excluding legal holidays. The telephone number for the Reading
Room is<PHONE_NUMBER>, and the telephone number for the Environmental
Information Docket is<PHONE_NUMBER>.
    Use http://www.regulations.gov to obtain a copy of the draft
collection of information, submit or view public comments, access the
index listing of the contents of the docket, and to access those
documents in the public docket that are available electronically. Once
in the system, select ``search,'' then key in the docket ID number
identified in this document.

What information is EPA particularly interested in?

    Pursuant to section 3506(c)(2)(A) of the PRA, EPA specifically
solicits comments and information to enable it to:
    (i) Evaluate whether the proposed collection of information is
necessary for the proper performance of the functions of the Agency,
including whether the information will have practical utility;
    (ii) Evaluate the accuracy of the Agency's estimate of the burden
of the proposed collection of information, including the validity of
the methodology and assumptions used;
    (iii) Enhance the quality, utility, and clarity of the information
to be collected; and
    (iv) Minimize the burden of the collection of information on those
who are to respond, including through the

use of appropriate automated electronic, mechanical, or other
technological collection techniques or other forms of information
technology, e.g., permitting electronic submission of responses. In
particular, EPA is requesting comments from very small businesses
(those that employ less than 25) on examples of specific additional
efforts that EPA could make to reduce the paperwork burden for very
small businesses affected by this collection.

What should I consider when I prepare my comments for EPA?

    You may find the following suggestions helpful for preparing your
comments:
    1. Explain your views as clearly as possible and provide specific
examples.
    2. Describe any assumptions that you used.
    3. Provide copies of any technical information and/or data you used
that support your views.
    4. If you estimate potential burden or costs, explain how you
arrived at the estimate that you provide.
    5. Offer alternative ways to improve the collection activity.
    6. Make sure to submit your comments by the deadline identified
under DATES.
    7. To ensure proper receipt by EPA, be sure to identify the docket
ID number assigned to this action in the subject line on the first page
of your response. You may also provide the name, date, and Federal
Register citation.

What information collection activity or ICR does this apply to?

    Affected entities: Entities potentially affected by this action are
approximately 300 candidates for membership as Special Government
Employees (SGEs) on EPA Federal advisory committees. The Form 3110-48
(7-08) is completed as part of the member selection process and before
they are invited to serve as a member of a Federal Advisory Committee
(FAC) at EPA.
    Title: Confidential Financial Disclosure Form for Special
Government Employees Serving on Federal Advisory Committees at the U.S.
Environmental Protection Agency (Renewal).
    ICR numbers: EPA ICR No. 2260.04, OMB Control No. 2090-0029.
    ICR status: This ICR is currently scheduled to expire on 05/31/
2011. An Agency may not conduct or sponsor, and a person is not
required to respond to, a collection of information, unless it displays
a currently valid OMB control number. The OMB control numbers for EPA's
regulations in title 40 of the CFR, after appearing in the Federal
Register when approved, are listed in 40 CFR part 9, are displayed
either by publication in the Federal Register or by other appropriate
means, such as on the related collection instrument or form, if
applicable. The display of OMB control numbers in certain EPA
regulations is consolidated in 40 CFR part 9.
    Abstract: The purpose of this information collection request is to
assist the United States Environmental Protection Agency (EPA or the
Agency) in selecting Federal advisory committee members who will be
appointed as Special Government Employees (SGEs), mostly to EPA's
scientific and technical committees. To select SGE members as
efficiently and cost effectively as possible, the Agency needs to
evaluate potential conflicts of interest before a candidate is hired as
an SGE and appointed as a member to a committee by EPA's Administrator
or Deputy Administrator.
    Agency officials developed the ``Confidential Financial Disclosure
Form for Special Government Employees Serving on Federal Advisory
Committees at the U.S. Environmental Protection Agency,'' also referred
to as Form 3110-48 (7-08), for greater inclusion of information to
discover any potential conflicts of interest as recommended by the
Government Accountability Office.
    Burden Statement: The annual public reporting and recordkeeping
burden for this collection of information is estimated to average one
hour per response. Burden means the total time, effort, or financial
resources expended by persons to generate, maintain, retain, or
disclose or provide information to or for a Federal agency. This
includes the time needed to review instructions; develop, acquire,
install, and utilize technology and systems for the purposes of
collecting, validating, and verifying information, processing and
maintaining information, and disclosing and providing information;
adjust the existing ways to comply with any previously applicable
instructions and requirements which have subsequently changed; train
personnel to be able to respond to a collection of information; search
data sources; complete and review the collection of information; and
transmit or otherwise disclose the information.
    The ICR provides a detailed explanation of the Agency's estimate,
which is only briefly summarized here:
     Estimated total number of potential respondents: 300.
     Frequency of response: Annual.
     Estimated total average number of responses for each
respondent: 1.
     Estimated total annual burden hours: 300 hours/1 hour per
respondent.
     Estimated total annual costs: $40,800. There is no capital
investment or maintenance and operational costs.

Are there changes in the estimates from the last approval?

    The burden estimates have been changed to reflect an increase of
respondent costs to complete the form to cover the next three years.
There is no increase of hours in the total estimated respondent burden
compared with that identified in the ICR currently approved by OMB.

What is the next step in the process for this ICR?

    EPA will consider the comments received and amend the ICR as
appropriate. The final ICR package will then be submitted to OMB for
review and approval pursuant to 5 CFR 1320.12. At that time, EPA will
issue another Federal Register notice pursuant to 5 CFR
1320.5(a)(1)(iv) to announce the submission of the ICR to OMB and the
opportunity to submit additional comments to OMB. If you have any
questions about this ICR or the approval process, please contact the
technical person listed under FOR FURTHER INFORMATION CONTACT.

    Dated: November 17, 2010.
Timothy O. Sherer,
Acting Director, Office of Federal Advisory Committee Management and
Outreach.
[FR Doc. 2010-29623 Filed 11-23-10; 8:45 am]
BILLING CODE 6560-50-P


DCTM_ ARP. xls Manure Type Operation Type Region Capital Cost ($ per Head) Annual Cost ($ per Head) Pit Grower Feeder Mid Atlantic 41.3  6.31 Pit Grower Feeder Midwest 42.1  5.77 Pit Farrow Feeder Mid Atlantic 39.09  2.08 Pit Farrow Feeder Midwest 39.37  2.42 Liquid Grower Feeder Mid Atlantic 38.73  6.18 Liquid Grower Feeder Midwest 39.45  5.57 Liquid Farrow Feeder Mid Atlantic 33.81  1.97 Liquid Farrow Feeder Midwest 34.79  2.13 Evaporative Pond Grower Feeder Central 37.62  5.55 Evaporative Pond Farrow Feeder Central 33.81  2.13 DCTM_ ARP. xls Capital Cost no generator ($ per Head) 18.8 19.6 16.59 16.87 16.23 16.95 11.31 12.29 15.12 11.31 High Quality Cover Material Operation Type Region Size Primary LagoLagoon Cover Generator Building Engineering Flush GF MA 2,500 12,022 31,568 35,450 25,000 Flush GF MA 2,664 12,618 32,904 36,800 25,000 Flush GF MA 4,134 17,562 43,592 48,825 25,000 Flush GF MA 4,424 18,524 45,613 51,200 25,000 Flush GF MA 4,581 19,117 46,851 52,475 25,000 Flush GF MA 6,390 25,215 59,316 67,275 25,000 Flush GF MA 7,838 30,193 69,228 79,150 25,000 Flush GF MA 12,374 45,233 98,306 116,225 25,000 Flush GF MA 13,713 49,606 106,592 127,175 25,000 Flush GF MA 14,929 53,897 114,555 137,150 25,000 ManureOperation Type Region Size Primary LagoLagoon Cover Generator Building Engineering Pit GF MA 2500 12,022 31,568 35,650 25,000 5000 20546 49813 56325 25,000 Pit GF MW 2500 20546 49813 35050 25,000 5000 37439 83370 55125 25,000 Pit FF MA 2570 10227 27459 31150 25,000 5145 16815 42012 47350 25,000 Pit FF MW 2570 16815 42012 30725 25,000 5145 30193 69228 46475 25,000 Liquid GF MA 2500 12,022 31,568 35,450 25,000 5000 20546 49813 55900 25,000 Liquid GF MW 2500 20546 49813 35000 25,000 5000 37439 83371 55025 25,000 Liquid FF MA 2570 10227 27459 30975 25,000 5145 16815 42012 47025 25,000 Liquid FF MW 2570 16815 42012 30675 25,000 5145 30193 69228 46400 25,000 EvaporaGF CE 2500 13079 33927 35050 25,000 5000 22477 53772 55100 25,000 EvaporaFF CE 2570 11028 29312 30675 25,000 5145 18329 45204 46400 25,000 Total Cost Annual on farm ePropane Saving Total Benefit Annual Operating costs Total Cost ($ per head) 120,267 12,862 3,535 16,397 3,472 48.11 123,713 13,654 3,769 17,423 3,701 46.44 152,753 20,663 5,846 26,509 5,741 36.95 158,379 22,038 6,258 28,296 6,144 35.80 161,640 22,787 6,480 29,267 6,364 35.28 196,671 31,338 9,037 40,375 8,875 30.78 224,775 38,171 11,086 49,257 10,887 28.68 310,027 59,527 17,493 77,020 17,180 25.05 334,817 65,827 19,384 85,211 19,037 24.42 358,157 71,556 21,107 92,663 20,729 23.99 33.55 Total Cost Annual on farm ePropane Saving Total Benefit Annual Operating costs Total Cost ($ per head) 104,240 12,955 3,580 16,535 3,515 41.70 151,684 24910 7161 32,071 7033 130,409 11371 3061 14,432 3009 200,934 22108 6122 28,230 6018 93,836 7070 1053 8,123 2749 131,177 12219 2106 14,325 5503 114,552 6824 1053 7,877 2357 170,896 12105 2106 14,211 4719 104,040 12,862 3,535 16,397 3,472 41.62 151,259 24770 7072 31,842 6945 130,359 11344 3051 14,395 2999 200,835 22059 6101 28,160 5998 93,661 7063 1053 8,116 2712 130,852 12218 2106 14,324 5434 114,502 6816 1053 7,869 2348 170,821 12098 2106 14,204 4704 107,056 11285 3028 14,313 2977 156,349 21941 6052 27,993 5951 96,015 6778 1053 7,831 2327 134,933 12057 2106 14,163 4659 Annual Cost ($ per head) ( 5.17) ( 5.15) ( 5.02) ( 5.01) ( 5.00) ( 4.93) ( 4.90) ( 4.84) ( 4.83) ( 4.82) ( 4.97)

Annual Cost ($ per head) ( 5.21)

( 5.17) ManureOperation Type Region Size Primary LagoLagoon Cover Generator Building Engineering Pit GF MA 2500 30,000 31,568 46,150 25,000 5000 50,000 49813 66,825 25,000 Pit GF MW 2500 30,000 49813 45,550 25,000 5000 50,000 83370 65,625 25,000 Pit FF MA 2570 30,000 27459 41,650 40,000 5145 50,000 42012 57,850 40,000 Pit FF MW 2570 30,000 42012 41,225 40,000 5145 50,000 69228 56,975 40,000 Liquid GF MA 2500 12,022 31,568 45,950 25,000 5000 20,546 49813 66,400 25,000 Liquid GF MW 2500 20,546 49813 45,500 25,000 5000 37,439 83371 65,525 25,000 Liquid FF MA 2570 10,227 27459 41,475 40,000 5145 16,815 42012 57,525 40,000 Liquid FF MW 2570 16,815 42012 41,175 40,000 5145 30,193 69228 56,900 40,000 EvaporaGF CE 2500 13079 33927 45,550 25,000 5000 22477 53772 65,600 25,000 EvaporaFF CE 2570 11028 29312 41,175 40,000 5145 18329 45204 56,900 40,000 ManureOperation Type Region Total Cost ($ Annual Cost ($ per head) Pit GF MA 47.99 ( 3.46) Pit GF MW 55.10 ( 2.86) Pit FF MA 47.79 ( 0.30) Pit FF MW 53.36 ( 0.39) Liquid GF MA 41.04 ( 4.77) Liquid GF MW 51.77 ( 4.20) Liquid FF MA 40.30 ( 1.62) Liquid FF MW 48.63 ( 1.71) EvaporaGF CE 40.20 ( 4.17) EvaporaFF CE 39.23 ( 1.70) Total Cost Annual on farm ePropane Saving Total Benefit Annual Operating costs Total Cost ($ per head) 139,354 12,955 3,580 16,535 9,015 55.74 201,220 24910 7161 32,071 12,533 40.24 157,881 11371 3061 14,432 8,509 63.15 235,195 22108 6122 28,230 11,518 47.04 146,064 7070 1053 8,123 8,249 56.83 199,355 12219 2106 14,325 11,003 38.75 160,899 6824 1053 7,877 7,857 62.61 227,013 12105 2106 14,211 10,219 44.12 120,267 12,862 3,535 16,397 4,472 48.11 169,847 24770 7072 31,842 7,945 33.97 147,902 11344 3051 14,395 3,999 59.16 221,902 22059 6101 28,160 6,998 44.38 125,119 7063 1053 8,116 3,712 48.68 164,170 12218 2106 14,324 6,434 31.91 147,002 6816 1053 7,869 3,348 57.20 206,137 12098 2106 14,204 5,704 40.07 117,556 11285 3028 14,313 3,977 47.02 166,849 21941 6052 27,993 6,951 33.37 121,515 6778 1053 7,831 3,327 47.28 160,433 12057 2106 14,163 5,659 31.18 Annual Cost ($ per head) ( 3.01) ( 3.91) ( 2.37) ( 3.34) 0.05 ( 0.65) ( 0.01) ( 0.78) ( 4.77) ( 4.78) ( 4.16) ( 4.23) ( 1.71) ( 1.53) ( 1.76) ( 1.65) ( 4.13) ( 4.21) ( 1.75) ( 1.65) ManureOperation Type Region Size Primary LagoLagoon Cover Generator Building Engineering Pit GF MA 2500 30,000 31,568 25,000 5000 50,000 49813 25,000 Pit GF MW 2500 30,000 49813 25,000 5000 50,000 83370 25,000 Pit FF MA 2570 30,000 27459 40,000 5145 50,000 42012 40,000 Pit FF MW 2570 30,000 42012 40,000 5145 50,000 69228 40,000 Liquid GF MA 2500 12,022 31,568 25,000 5000 20,546 49813 25,000 Liquid GF MW 2500 20,546 49813 25,000 5000 37,439 83371 25,000 Liquid FF MA 2570 10,227 27459 40,000 5145 16,815 42012 40,000 Liquid FF MW 2570 16,815 42012 40,000 5145 30,193 69228 40,000 EvaporaGF CE 2500 13079 33927 25,000 5000 22477 53772 25,000 EvaporaFF CE 2570 11028 29312 40,000 5145 18329 45204 40,000 ManureOperation Type Region Total Cost ($ Annual Cost ($ per head) Pit GF MA 31.28 2.76 Pit GF MW 38.64 2.55 Pit FF MA 33.38 2.38 Pit FF MW 39.13 2.23 Liquid GF MA 24.42 1.39 Liquid GF MW 35.34 1.20 Liquid FF MA 25.95 1.06 Liquid FF MW 34.42 0.91 EvaporaGF CE 24.53 1.19 EvaporaFF CE 25.69 0.91 Total Cost Annual on farm ePropane Saving Total Benefit Annual Operating costs Total Cost ($ per head) 90,896  8,015 36.36 131,054  11,533 26.21 110,054  7,509 44.02 166,289  10,518 33.26 102,332  7,249 39.82 138,613  10,003 26.94 117,613  6,857 45.76 167,189  9,219 32.50 72,020  3,472 28.81 100,127  6,945 20.03 100,127  2,999 40.05 153,101  5,998 30.62 81,570  2,712 31.74 103,768  5,434 20.17 103,768  2,348 40.38 146,392  4,704 28.45 72,006  2,977 28.80 101,249  5,951 20.25 80,340  2,327 31.26 103,533  4,659 20.12 Annual Cost ($ per head) 3.21 2.31 3.00 2.10 2.82 1.94 2.67 1.79 1.39 1.39 1.20 1.20 1.06 1.06 0.91 0.91 1.19 1.19 0.91 0.91


UNITED STATES ENVIRONMENTAL PROTECTION AGENCY

WASHINGTON, D.C. 20460

	OFFICE OF PREVENTION, PESTICIDE

	AND TOXIC SUBSTANCES

  SEQ CHAPTER \h \r 1 MEMORANDUM

Date:  6/12/2008

SUBJECT:  Ingredient:  Fenbuconazole

		Title:  Acute, Chronic, and Cancer Aggregate Dietary (Food and Drinking Water) Exposure Analysis for the Section 3 Registration Action

PC Code:  129011 	DP Number:  350321

Decision No.:  383131	Registration No.:  62719-421

Petition Nos.:  7E7256	Regulatory Action:  Section 3

Risk Assessment Type:  None 	Case No.:  None

TXR No.: None	CAS No.:  114369-43-6

MRID No.:   None	40 CFR:  180.480

FROM:  	Douglas Dotson, Ph.D., Chemist

	Registration Action Branch 2

	Health Effects Division (7509P)  SEQ CHAPTER \h \r 1

THROUGH:	Thurston Morton, Chemist

		Sarah Winfield, Biologist

		Richard Loranger, Ph.D., Senior Scientist

	Registration Action Branch 2

Health Effects Division (7509P)  SEQ CHAPTER \h \r 1

TO:		Sidney Jackson/Barbara Madden, RIMUERB

		and

		John Bazuin/Tony Kish, RM 22, Fungicide Branch

		Registration Division (7505P)

Executive Summary

sing the Dietary Exposure Evaluation Model DEEM-FCID™, Version 2.03.  This model uses food consumption data from the U.S. Department of Agriculture’s Continuing Surveys of Food Intakes by Individuals (CSFII) from 1994-1996 along with a supplemental children’s survey from 1998.  The analyses were based on fenbuconazole residues in food and drinking water.

Acute Dietary Exposure Results and Characterization

The acute dietary exposure analysis is based on tolerance-level residues and assumes 100% crop treated.  As such, it is highly conservative with respect to evaluating potential impacts of acute dietary exposure to fenbuconazole on human health.  The only population subgroup that is relevant for this acute assessment is females of child-bearing age (i.e., females 13-49 years old).  The acute risk estimate that results from this analysis is 3.1% of the acute population adjusted dose (aPAD) at the 95th percentile of exposure.  This risk estimate is considerably lower than HED’s level of concern (100% of the aPAD).

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

The chronic (non-cancer) dietary analysis is more refined because it uses average residues from field trials.  Because of the manner in which these data were submitted and reviewed, multiple averages were calculated for many of the crops.  For these crops, the highest average was used in the analysis.  The non-cancer dietary analysis assumes 100% crop treated.  The most highly exposed population subgroup is All Infants (<1 year old) which utilizes 6.8% of the chronic population adjusted dose (cPAD).  The risk estimate for the general U.S. population is 2.3% of the cPAD.  As with the acute assessment, the risk estimates are all well below HED’s level of concern (100% of the cPAD).

Cancer Dietary Exposure Results and Characterization

The cancer dietary analysis uses the same food residue inputs as those used in the chronic non-cancer assessment.  The cancer analysis is further refined in that it makes use of average percent crop treated estimates.  The cancer risk estimate using these food residue inputs and a worst case use pattern assumption for water is 1.7 x 10-6.  Typically, HED is concerned when the risk estimate associated with food and drinking water exceeds 3 x 10-6.  As a result, cancer risk to the general U.S. population is below HED’s level of concern.

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 the point of departure (e.g., NOAEL, LOAEL) 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 three in one million.  References that discuss the acute and chronic risk assessments in more detail are available on the EPA/pesticides website:  “Available Information on Assessing Exposure from Pesticides, A User’s Guide,” 6/21/2000, 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 (8/20/1999).  The last dietary exposure analysis performed for fenbuconazole was done so in 2006 in support of tolerance petitions for several commodities (Memo, D329595, M. Doherty, 8/2/2006).

II.	Residue Information

For peppers, the tolerance level of 0.40 ppm was used as the residue value in the acute, chronic, and cancer dietary exposure analyses.  Residue values used for all other commodities are discussed in detail in the previous dietary exposure memo performed for fenbuconazole (Memo, D329595, M. Doherty, 8/2/2006).  Table 1, below, was taken directly from this memo and peppers were added.  Tolerances for fenbuconazole are listed in 40CFR§180.480.  The tolerance list includes time-limited tolerances that were established in conjunction with Section 18 registrations.  These tolerances are for the fat and meat of cattle, goats, hogs, horses, and sheep (and one for hog, meat byproducts).  These time-limited tolerances are all set to expire on 12/31/2008.  As there are no Section 18 uses on animal feed items, these animal commodity tolerances are no longer necessary (electronic communication, D. Rosenblatt, 5/16/2008).  Therefore, these animal commodities were excluded from the dietary assessments.  There is also an expired blueberry Section 18 tolerance that differs from the bushberry tolerance.  This tolerance was also excluded from the dietary exposure analyses.

The petitioner has submitted adequate studies describing residues of fenbuconazole and its residues of concern in almonds, apples, bananas, blueberries, citrus, cranberries, grapes, peanuts, pecans, peppers, stone fruit, sugar beets, and wheat.  Residue estimates for the chronic and cancer assessments are based on all of the submitted data (often from slightly exaggerated rate studies) and not only on the data used to set the tolerances.  The residue estimates used in these assessments are directly from the field trial data and, by nature of the analytical methods, account for all of the residues of concern in crops and livestock (fenbuconazole, lactone metabolites RH-9129 and RH-9130, and the hydroxyl metabolite RH-4911 (peanuts only) and its glycosyl conjugate RH-7905 (peanuts only)).  Crop field trials with the above-listed commodities resulted in measurable residues of concern for all crops.  The residues are summarized in Table 1 and complete listings of the residue estimates are included as Attachments 1, 3, and 5 (acute, chronic non-cancer, and cancer assessments, respectively).

 acute assessment includes DEEM™ Version 7.81 default processing factors for those commodities that were not addressed by the available processing studies.  For commodities where there is evidence that residues do not concentrate during processing, a factor of one was used even if there is a DEEM™ Version 7.81 default processing factor greater than one.

he chronic assessments use DEEM™ version 7.81 default processing factors for commodities that do not have empirical processing factors.  The non-cancer assessment assumes 100% crop treated, whereas the cancer assessment makes use of average percent-crop-treated estimates.  These estimates were provided by the Biological and Economic Analysis Division (see Attachment 7).

Table 1.  Summary of Residues and Factors Used in the Acute, Chronic, and Cancer Dietary Assessments for Fenbuconazole.

Food Name	Acute Residue Estimate

(Tolerance)

(ppm)	Acute Processing Factor	Chronic Residue Estimate

(ppm)	Chronic Processing Factor	% Crop Treated

(Avg.)	Remarks for Chronic and Cancer Assessment

Almond	0.05	1	0.015	1	100

	Almond, oil	0.05	1	0.015	1	100

	Apple, fruit with peel	0.4	1	0.142	1	1

	Apple, peeled fruit	0.4	1	0.142	1	1

	Apple, dried	0.4	8	0.142	8	1	Default Proc. Factor

Apple, juice	0.4	1	0.142	0.059	1	Empirical Proc. Factor

Apple, sauce	0.4	1	0.142	1	1

	Apricot	1	1	0.307	1	10	Average Peach Value

Apricot, dried	1	6	0.307	6	10	Default Proc. Factor

Apricot, juice	1	1	0.307	1	10

	Banana	0.3	1	0.028	1	100

	Banana, dried	0.3	3.9	0.028	3.9	100	Default Proc. Factor

Beef, meat byproducts	0.05	1	0.05	1	100

	Beet, sugar	0.3	1	0.061	1	100

	Beet, sugar, molasses	0.4	1	0.061	1.8	100	Empirical Proc. Factor

Blueberry	0.3	1	0.3	1	40

	Cherry	1	1	0.336	1	20

	Cherry, juice	1	1	0.336	1.0	20	No concentration in juice

Citrus citron	1	1	0.073	1	100	Lemon Pulp

Citrus hybrids	1	1	0.073	1	100	Lemon Pulp

Citrus, oil	40	1	0.073	47	100	Lemon Pulp + Empirical Proc. Factor

Cranberry	0.5	1	0.199	1	100

	Cranberry, dried	0.5	1	0.199	1	100

	Cranberry, juice	0.5	1.1	0.199	1.1	100	Default Processing Factor

Currant	0.3	1	0.093	1	100

	Currant, dried	0.3	1	0.093	1	100

	Elderberry	0.3	1	0.093	1	100

	Goat, meat byproducts	0.05	1	0.05	1	100

	Gooseberry	0.3	1	0.093	1	100

	Grape	1	1	0.39	1	100

	Grape, juice	1	1	0.39	0.18	100	Empirical Proc. Factor

Grape, leaves	1	1	0.39	1	100

	Grape, raisin	1	4.3	0.39	4.3	100	Default Proc. Factor

Grape, wine and sherry	1	1	0.39	0.7	100	Empirical Proc. Factor

Grapefruit	1	1	0.016	1	40

	Grapefruit, juice	1	1	0.016	0.2	40	Citrus Juice Proc. Factor (chronic)

Huckleberry	0.3	1	0.093	1	100

	Kumquat	1	1	0.073	1	100

	Lemon	1	1	0.073	1	100

	Lemon, juice	1	1	0.073	0.2	100	Citrus Juice Proc. Factor (chronic)

Lemon, peel	1	1	0.652	1	100

	Lime	1	1	0.073	1	100

	Lime, juice	1	1	0.073	0.2	100	Citrus Juice Proc. Factor (chronic)

Nectarine	1	1	0.307	1	10

	Orange	1	1	0.017	1	1

	Orange, juice	1	1	0.017	0.2	1	Citrus Juice Proc. Factor (chronic)

Orange, peel	1	1	0.652	1	1

	Peach	1	1	0.307	1	15

	Peach, dried	1	7	0.307	7	15	Default Processing Factor

Peach, juice	1	1	0.307	1.0	15

	Peanut	0.1	1	0.035	1	100

	Peanut, butter	0.1	1.89	0.035	1.89	100	Default Processing Factor

Peanut, oil	0.1	1	0.035	1	100

	Pecan	0.05	1	0.015	1	15

	Peppers	0.40	1	0.40	1	100

	Plantain	0.3	1	0.028	1	100

	Plantain, dried	0.3	3.9	0.028	3.9	100	Default Processing Factor

Plum	1	1	0.063	1	100

	Plum, prune, fresh	1	1	0.063	1	1

	Plum, prune, dried	1	5	0.063	3.4	1	Default/Empirical Proc. Factors

Plum, prune, juice	1	1	0.063	1.0	1	No concentration in juice

Pummelo	1	1	1	1	100

	Sheep, meat byproducts	0.05	1	0.05	1	100

	Tangerine	1	1	0.073	1	1	Lemon Pulp

Tangerine, juice	1	1	0.073	0.2	1	Lemon Pulp + Citrus Juice Proc Factor

Wheat, grain	0.1	1	0.017	1	100

	Wheat, flour	0.1	1	0.017	0.15	100	Empirical Processing Factor

Wheat, germ	0.1	1	0.017	0.85	100	Empirical Processing Factor

Wheat, bran	0.1	1	0.017	1.4	100	Empirical Processing Factor

III.  Drinking Water Data

The estimated drinking water concentrations (EDWCs) used in the dietary risk assessments were provided by the Environmental Fate and Effects Division (EFED, D44352, J. Lin, 1/16/2008).  The EDWCs were incorporated directly into these dietary assessments in the food categories “water, direct, all sources” and “water, indirect, all sources.”  The EDWCs for fenbuconazole were generated with the coupled models PRZM and EXAMS for surface water and SCI-GROW for groundwater.  Modeled surface water EDWCs are based on the maximum label application rate to peppers (acute value) or cherries (chronic and cancer values).  The groundwater EDWC is based on the maximum label application rate to cherries.  EDWCs reflect exposure to fenbuconazole, per se.  The common triazole metabolites 1,2,4-triazole, triazole alanine, and triazole acetic acid have been identified as residues of concern for risk assessment.  A separate dietary exposure assessment has been performed for these metabolites (Memo, D350314, M. Doherty, 3/27/2008).  As a result, they are not being included in this assessment.

The PRZM/EXAMS 1-in-10 year annual peak surface water value of 24.1 ppb for peppers is greater than the SCI-GROW groundwater value of 0.031 ppb.  As a result, the surface water value was used in the acute dietary analysis.  The 1 in 10 year annual mean surface water value of 16.5 ppb for cherries is greater than the groundwater value of 0.031 ppb.  As a result, the surface water value was used in the chronic dietary analysis.  Finally, the 30-year annual mean surface water value of 11.7 ppb for cherries is greater than the groundwater value of 0.031 ppb.  As a result, the surface water value was used in the cancer dietary analysis.  The SCI-GROW Model and its description are available at the EPA internet site:    HYPERLINK "http://www.epa.gov/oppefed/models/water/"  http://www.epa.gov/oppefed/models/water/ .

IV.	DEEM-FCID™ Program and Consumption Information

Fenbuconazole acute and chronic dietary exposure assessments were conducted using the DEEM-FCID (Version 2.03), which incorporates consumption data from USDA’s 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.  For acute exposure assessment the data 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.  The resulting residue consumption estimate for each food/food form is summed with the residue consumption 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., 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 less-refined analyses, significant differences in user vs. per capita exposure and risk are identified and noted in the risk assessment.  In this case, there were no significant differences.

IV.	Toxicological Information

The toxicological doses and endpoints for use in fenbuconazole dietary assessments are summarized in Table 2.

Table 2.  Summary of Toxicological Doses and Endpoints for Use in Dietary Human Health Risk Assessments for Fenbuconazole

Exposure

Scenario	Dose Used in Risk Assessment, UF 	Special FQPA SF and Level of Concern for Risk Assessment	Study and Toxicological Effects

Acute Dietary

(Females 13-49 years of age)	NOAEL = 30 mg/kg/day

UF = 100

Acute RfD = 0.3 mg/kg	FQPA SF =1

aPAD = acute RfD

              FQPA SF

= 0.3 mg/kg	Developmental rat study

Developmental LOAEL = 75 mg/kg/day based on increased resorptions and decreased live fetuses per dam.

Acute Dietary (General population including infants and children)	None

	None	Not selected.

No appropriate dose and endpoint could be identified for these population groups.

Chronic Dietary

(All populations)	NOAEL= 3 mg/kg/day

UF = 100

Chronic RfD = 0.03 mg/kg/day	FQPA SF =1

cPAD =

chronic RfD

 FQPA SF

= 0.03 mg/kg/day	Combined chronic toxicity/ carcinogenicity - Rat

LOAEL = 30.6/43.1 (M/F) mg/kg/day based on decreased body weight gain, increased thyroid weight, and histopathological lesions in the liver and thyroid gland

Cancer (oral, dermal, inhalation)	Classification: Under the 1986 cancer classification scheme, fenbuconazole was classified as a Group C - Possible Human Carcinogen, with a low dose extrapolation model applied to the animal data for the quantification of human risk (Q1*).  This classification was based on increased incidence of hepatocellular adenomas and carcinomas in male and female mice and of thyroid follicular adenomas and combined adenomas/carcinomas in male rats.  Based on mechanistic data, quantification of risk was derived using combined hepatocellular adenomas/carcinomas in female mice.  The upper bound estimate of unit risk, Q1* (mg/kg/day)-1 is 3.59 x 10-3 in human equivalents.

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 of the acute dietary exposure analysis for the population subgroup Females 13-49 are reported in Table 3.  Table 4 lists the results of the chronic and cancer dietary exposure analyses, along with the results of the acute analysis at the regulated percentile of exposure (i.e., the 95th).  Table 4 lists the results 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 Acute Dietary Exposure Analysis

The results of the acute dietary exposure analysis at the 95th, 99th, and 99.9th percentiles of exposure are reported in Table 3.  As percent crop treated estimates were not used in the assessment, HED recommends that the 95th percentile of exposure be used for regulation.  The population subgroup Females 13-49 utilizes 3.1% of the aPAD at the 95th percentile of exposure.

Table 3.  Results of Acute Dietary Exposure Analysis

(Food and Drinking Water)

Population Subgroup

aPAD (mkd)*

95th Percentile

99th Percentile

99.9th Percentile

Exposure (mkd)

% aPAD

Exposure (mkd)

% aPAD

Exposure (mkd)

% aPAD

Females 13-49 years old 	0.30

0.009155	3.1

0.015124	5.0

0.027302	9.1

*mkd: milligram per kilogram body weight per day

Results of Chronic Dietary Exposure Analysis

In the chronic dietary exposure analysis, the most highly exposed population subgroup is All Infants (<1 year old) which utilizes 6.8% of the cPAD.  The general U.S. population utilizes 2.3% of the cPAD.

Results of Cancer Dietary Exposure Analysis

Cancer risk is determined for the general U.S. population only.  Applying the Q* value of 0.00359 (mg/kg/day)-1 to the exposure value of 0.000473 mg/kg/day yields a cancer risk estimate of 1.7 x 10-6.

Table 4.  Summary of Dietary Exposure and Risk for Fenbuconazole

(Food and Drinking Water)

Population Subgroup*

Acute Dietary

(95th 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	N/A	N/A

0.000700	2.3

0.000473

1.7 x 10-6

All Infants (< 1 year old)	N/A	N/A

0.002027	6.8

Children 1-2 years old	N/A	N/A

0.001842	6.1

Children 3-5 years old	N/A	N/A

0.001450	4.8

Children 6-12 years old	N/A	N/A

0.000812	2.7

Youth 13-19 years old	N/A	N/A

0.000440	1.5

Adults 20-49 years old	N/A	N/A

0.000563	1.9

Adults 50+ years old	N/A	N/A

0.000645	2.2

Females 13-49 years old

0.009155	3.1

0.000572	1.9

VII.	Characterization of Inputs/Outputs

In the acute and chronic (non-cancer) dietary exposure analyses, conservative estimates of food residue levels and drinking water concentrations were used.  In addition, it was assumed that 100% of the commodities with fenbuconazole tolerances would be treated.  Further refinements could be made to these analyses, but they are not necessary at the present time.

Several refinements were made to the cancer dietary exposure analysis, however.  As explained in the residue information section of this memo, for many crops, the highest per-study-volume average field trial residue values were used for the residue estimates.  The tolerance level was used for peppers.  Field trials were performed using the maximum application rate (and in some cases, slightly exaggerated rates) and the minimum PHI specified on the label.  For economic reasons, farmers often do not use the maximum label rates.  They use the minimum amount of pesticide necessary to obtain the desired results.  From extensive past experience, HED has observed that monitoring data are much lower in magnitude than field trial data.  As a result, as monitoring data become available for more of the registered and proposed commodities, any future dietary analyses for fenbuconazole would likely produce lower risk estimates than does the current analysis.  The analyses could also be further refined by the translation of processing factors.  For example, the citrus juice processing factor could have been translated to some of the other juices such as cherry, peach, prune, and cranberry juice.

Conclusions

Based on conservative assumptions, the acute dietary risk estimate for the population subgroup Females 13-49 is well below HED’s level of concern.  The chronic (non-cancer) dietary risk estimates are also based on conservative assumptions and are well below HED’s level of concern.  Finally, the cancer dietary risk estimate for the general U.S. population is also below HED’s level of concern.

List of Attachments:

Attachment 1:  Residue Input File for Acute Analysis

Attachment 2:  Results of Acute Dietary Exposure Analysis

Attachment 3:  Residue Input File for Chronic (Non-Cancer) Analysis

Attachment 4:  Results of Chronic Dietary Exposure Analysis

Attachment 5:  Residue Input File for Cancer Analysis

Attachment 6:  Results of Cancer Dietary Exposure Analysis

Attachment 7:  Screening Level Usage Analysis (SLUA) Attachment 1:  Residue Input File for Acute Analysis

NOAEL (acute) = 30 mg/kg/day

aPAD = 0.3 mg/kg/day

Filename: C:\DocumentsandSettings\ddotson\MyDocuments\DEEMFCID\Fenbuconazole\Fenbu conAC.R98

Date created/last modified: 05-30-2008/9:53:13/8

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

  EPA    Crop                                   Def Res     Adj.Factors   Comment

  Code    Grp  Commodity Name                    (ppm)       #1    #2

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

01010520 1A   Beet, sugar                        0.300000   1.000  1.000

01010521 1A   Beet, sugar-babyfood               0.300000   1.000  1.000

01010530 1A   Beet, sugar, molasses              0.400000   1.000  1.000

01010531 1A   Beet, sugar, molasses-babyfood     0.400000   1.000  1.000

08002700 8    Pepper, bell                       0.400000   1.000  1.000  7E7256

08002701 8    Pepper, bell-babyfood              0.400000   1.000  1.000  7E7256

08002710 8    Pepper, bell, dried                0.400000   1.000  1.000  7E7256

08002711 8    Pepper, bell, dried-babyfood       0.400000   1.000  1.000  7E7256

08002720 8    Pepper, nonbell                    0.400000   1.000  1.000  7E7256

08002721 8    Pepper, nonbell-babyfood           0.400000   1.000  1.000  7E7256

08002730 8    Pepper, nonbell, dried             0.400000   1.000  1.000  7E7256

10001060 10   Citrus citron                      1.000000   1.000  1.000

10001070 10   Citrus hybrids                     1.000000   1.000  1.000

10001080 10   Citrus, oil                       40.000000   1.000  1.000

10001800 10   Grapefruit                         1.000000   1.000  1.000

10001810 10   Grapefruit, juice                  1.000000   1.000  1.000

10001970 10   Kumquat                            1.000000   1.000  1.000

10001990 10   Lemon                              1.000000   1.000  1.000

10002000 10   Lemon, juice                       1.000000   1.000  1.000

10002001 10   Lemon, juice-babyfood              1.000000   1.000  1.000

10002010 10   Lemon, peel                        1.000000   1.000  1.000

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  1.000

10002410 10   Orange, juice                      1.000000   1.000  1.000

10002411 10   Orange, juice-babyfood             1.000000   1.000  1.000

10002420 10   Orange, peel                       1.000000   1.000  1.000

10003070 10   Pummelo                            1.000000   1.000  1.000

10003690 10   Tangerine                          1.000000   1.000  1.000

10003700 10   Tangerine, juice                   1.000000   1.000  1.000

11000070 11   Apple, fruit with peel             0.400000   1.000  1.000

11000080 11   Apple, peeled fruit                0.400000   1.000  1.000

11000081 11   Apple, peeled fruit-babyfood       0.400000   1.000  1.000

11000090 11   Apple, dried                       0.400000   8.000  1.000

11000091 11   Apple, dried-babyfood              0.400000   8.000  1.000

11000100 11   Apple, juice                       0.400000   1.000  1.000

11000101 11   Apple, juice-babyfood              0.400000   1.000  1.000

11000110 11   Apple, sauce                       0.400000   1.000  1.000

11000111 11   Apple, sauce-babyfood              0.400000   1.000  1.000

12000120 12   Apricot                            1.000000   1.000  1.000

12000121 12   Apricot-babyfood                   1.000000   1.000  1.000

12000130 12   Apricot, dried                     1.000000   6.000  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  1.000

12000901 12   Cherry-babyfood                    1.000000   1.000  1.000

12000910 12   Cherry, juice                      1.000000   1.000  1.000

12000911 12   Cherry, juice-babyfood             1.000000   1.000  1.000

12002300 12   Nectarine                          1.000000   1.000  1.000

12002600 12   Peach                              1.000000   1.000  1.000

12002601 12   Peach-babyfood                     1.000000   1.000  1.000

12002610 12   Peach, dried                       1.000000   7.000  1.000

12002611 12   Peach, dried-babyfood              1.000000   7.000  1.000

12002620 12   Peach, juice                       1.000000   1.000  1.000

12002621 12   Peach, juice-babyfood              1.000000   1.000  1.000

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                 1.000000   5.000  1.000

12002871 12   Plum, prune, dried-babyfood        1.000000   5.000  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

13020570 13B  Blueberry                          0.300000   1.000  1.000

13020571 13B  Blueberry-babyfood                 0.300000   1.000  1.000

13021360 13B  Currant                            0.300000   1.000  1.000

13021370 13B  Currant, dried                     0.300000   1.000  1.000

13021490 13B  Elderberry                         0.300000   1.000  1.000

13021740 13B  Gooseberry                         0.300000   1.000  1.000

13021910 13B  Huckleberry                        0.300000   1.000  1.000

14000030 14   Almond                             0.050000   1.000  1.000

14000031 14   Almond-babyfood                    0.050000   1.000  1.000

14000040 14   Almond, oil                        0.050000   1.000  1.000

14000041 14   Almond, oil-babyfood               0.050000   1.000  1.000

14002690 14   Pecan                              0.050000   1.000  1.000

15004010 15   Wheat, grain                       0.100000   1.000  1.000

15004011 15   Wheat, grain-babyfood              0.100000   1.000  1.000

15004020 15   Wheat, flour                       0.100000   1.000  1.000

15004021 15   Wheat, flour-babyfood              0.100000   1.000  1.000

15004030 15   Wheat, germ                        0.100000   1.000  1.000

15004040 15   Wheat, bran                        0.100000   1.000  1.000

21000460 M    Beef, meat byproducts              0.050000   1.000  1.000

21000461 M    Beef, meat byproducts-babyfood     0.050000   1.000  1.000

23001700 M    Goat, meat byproducts              0.050000   1.000  1.000

26003400 M    Sheep, meat byproducts             0.050000   1.000  1.000

86010000 O    Water, direct, all sources         0.024100   1.000  1.000

86020000 O    Water, indirect, all sources       0.024100   1.000  1.000

95000230 O    Banana                             0.300000   1.000  1.000

95000231 O    Banana-babyfood                    0.300000   1.000  1.000

95000240 O    Banana, dried                      0.300000   3.900  1.000

95000241 O    Banana, dried-babyfood             0.300000   3.900  1.000

95001300 O    Cranberry                          0.500000   1.000  1.000

95001301 O    Cranberry-babyfood                 0.500000   1.000  1.000

95001310 O    Cranberry, dried                   0.500000   1.000  1.000

95001320 O    Cranberry, juice                   0.500000   1.100  1.000

95001321 O    Cranberry, juice-babyfood          0.500000   1.100  1.000

95001750 O    Grape                              1.000000   1.000  1.000

95001760 O    Grape, juice                       1.000000   1.000  1.000

95001761 O    Grape, juice-babyfood              1.000000   1.000  1.000

95001770 O    Grape, leaves                      1.000000   1.000  1.000

95001780 O    Grape, raisin                      1.000000   4.300  1.000

95001790 O    Grape, wine and sherry             1.000000   1.000  1.000

95002630 O    Peanut                             0.100000   1.000  1.000

95002640 O    Peanut, butter                     0.100000   1.890  1.000

95002650 O    Peanut, oil                        0.100000   1.000  1.000

95002830 O    Plantain                           0.300000   1.000  1.000

95002840 O    Plantain, dried                    0.300000   3.900  1.000

Attachment 2:  Results of Acute Dietary Exposure Analysis

NOAEL (acute) = 30 mg/kg/day

aPAD = 0.3 mg/kg/day

DEEM-FCID Version 2.03 ACUTE Analysis for FENBUCONAZOLE  (1994-98 data)

Residue file: FenbuconAC.R98

Adjustment factor #2 NOT used.

Analysis Date: 05-30-2008/9:56:49    Residue file dated: 05-30-2008/9:53:13/8

Daily totals for food and food form consumption used.

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

Summary calculations (per capita):

                    95th Percentile      99th Percentile      99.9th Percentile

                   Exposure   % aRfD    Exposure   % aRfD    Exposure   % aRfD

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

Females 13-49 yrs: 0.009155     3.05    0.015124     5.04    0.027302     9.10

Attachment 3:  Residue Input File for Chronic (Non-Cancer) Analysis

NOAEL (chronic) = 3 mg/kg/day

cPAD = 0.03 mg/kg/day

DEEM-FCID Version 2.03

Filename: C:\Documents and Settings\ddotson\My Documents\DEEMFCID\Fenbuconazole\FenbuconCHR.R98

Date created/last modified: 05-30-2008/9:54:03/8

Comment: RfDs are PADs and acute value is for females 13-49 only

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

  EPA    Crop                                   Def Res     Adj.Factors   Comment

  Code    Grp  Commodity Name                    (ppm)       #1    #2

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

01010520 1A   Beet, sugar                        0.061000   1.000  1.000

01010521 1A   Beet, sugar-babyfood               0.061000   1.000  1.000

01010530 1A   Beet, sugar, molasses              0.061000   1.800  1.000  Empirical Factor

01010531 1A   Beet, sugar, molasses-babyfood     0.061000   1.800  1.000  Empirical Factor

08002700 8    Pepper, bell                       0.400000   1.000  1.000  7E7256

08002701 8    Pepper, bell-babyfood              0.400000   1.000  1.000  7E7256

08002710 8    Pepper, bell, dried                0.400000   1.000  1.000  7E7256

08002711 8    Pepper, bell, dried-babyfood       0.400000   1.000  1.000  7E7256

08002720 8    Pepper, nonbell                    0.400000   1.000  1.000  7E7256

08002721 8    Pepper, nonbell-babyfood           0.400000   1.000  1.000  7E7256

08002730 8    Pepper, nonbell, dried             0.400000   1.000  1.000  7E7256

10001060 10   Citrus citron                      0.073000   1.000  1.000  Lemon Pulp

10001070 10   Citrus hybrids                     0.073000   1.000  1.000  Lemon Pulp

10001080 10   Citrus, oil                        0.073000  47.000  1.000  Lemon Pulp + Emp Factor

10001800 10   Grapefruit                         0.016000   1.000  1.000

10001810 10   Grapefruit, juice                  0.016000   0.200  1.000  Citrus Juice Factor

10001970 10   Kumquat                            0.073000   1.000  1.000

10001990 10   Lemon                              0.073000   1.000  1.000

10002000 10   Lemon, juice                       0.073000   0.200  1.000  Citrus Juice Factor

10002001 10   Lemon, juice-babyfood              0.073000   0.200  1.000  Citrus Juice Factor

10002010 10   Lemon, peel                        0.652000   1.000  1.000

10002060 10   Lime                               0.073000   1.000  1.000

10002070 10   Lime, juice                        0.073000   0.200  1.000  Citrus Juice Factor

10002071 10   Lime, juice-babyfood               0.073000   0.200  1.000  Citrus Juice Factor

10002400 10   Orange                             0.017000   1.000  1.000

10002410 10   Orange, juice                      0.017000   0.200  1.000  Citrus Juice Factor

10002411 10   Orange, juice-babyfood             0.017000   0.200  1.000  Citrus Juice Factor

10002420 10   Orange, peel                       0.652000   1.000  1.000

10003070 10   Pummelo                            1.000000   1.000  1.000

10003690 10   Tangerine                          0.073000   1.000  1.000  Lemon Pulp

10003700 10   Tangerine, juice                   0.073000   0.200  1.000  Lemon Pulp + Emp Factor

11000070 11   Apple, fruit with peel             0.142000   1.000  1.000

11000080 11   Apple, peeled fruit                0.142000   1.000  1.000

11000081 11   Apple, peeled fruit-babyfood       0.142000   1.000  1.000

11000090 11   Apple, dried                       0.142000   8.000  1.000  Default Proc Factor

11000091 11   Apple, dried-babyfood              0.142000   8.000  1.000  Default Proc Factor

11000100 11   Apple, juice                       0.142000   0.059  1.000  Empirical Factor

11000101 11   Apple, juice-babyfood              0.142000   0.059  1.000  Empirical Factor

11000110 11   Apple, sauce                       0.142000   1.000  1.000

11000111 11   Apple, sauce-babyfood              0.142000   1.000  1.000

12000120 12   Apricot                            0.307000   1.000  1.000  Average Peach Value

12000121 12   Apricot-babyfood                   0.307000   1.000  1.000

12000130 12   Apricot, dried                     0.307000   6.000  1.000  Default Factor

12000140 12   Apricot, juice                     0.307000   1.000  1.000

12000141 12   Apricot, juice-babyfood            0.307000   1.000  1.000

12000900 12   Cherry                             0.336000   1.000  1.000

12000901 12   Cherry-babyfood                    0.336000   1.000  1.000

12000910 12   Cherry, juice                      0.336000   1.000  1.000

12000911 12   Cherry, juice-babyfood             0.336000   1.000  1.000

12002300 12   Nectarine                          0.307000   1.000  1.000

12002600 12   Peach                              0.307000   1.000  1.000

12002601 12   Peach-babyfood                     0.307000   1.000  1.000

12002610 12   Peach, dried                       0.307000   7.000  1.000  Default Proc Factor

12002611 12   Peach, dried-babyfood              0.307000   7.000  1.000  Default Proc Factor

12002620 12   Peach, juice                       0.307000   1.000  1.000

12002621 12   Peach, juice-babyfood              0.307000   1.000  1.000

12002850 12   Plum                               0.063000   1.000  1.000

12002851 12   Plum-babyfood                      0.063000   1.000  1.000

12002860 12   Plum, prune, fresh                 0.063000   1.000  1.000

12002861 12   Plum, prune, fresh-babyfood        0.063000   1.000  1.000

12002870 12   Plum, prune, dried                 0.063000   3.400  1.000  Empirical Factor

12002871 12   Plum, prune, dried-babyfood        0.063000   3.400  1.000  Empirical Factor

12002880 12   Plum, prune, juice                 0.063000   1.000  1.000

12002881 12   Plum, prune, juice-babyfood        0.063000   1.000  1.000

13020570 13B  Blueberry                          0.300000   1.000  1.000

13020571 13B  Blueberry-babyfood                 0.300000   1.000  1.000

13021360 13B  Currant                            0.093000   1.000  1.000

13021370 13B  Currant, dried                     0.093000   1.000  1.000

13021490 13B  Elderberry                         0.093000   1.000  1.000

13021740 13B  Gooseberry                         0.093000   1.000  1.000

13021910 13B  Huckleberry                        0.093000   1.000  1.000

14000030 14   Almond                             0.015000   1.000  1.000

14000031 14   Almond-babyfood                    0.015000   1.000  1.000

14000040 14   Almond, oil                        0.015000   1.000  1.000

14000041 14   Almond, oil-babyfood               0.015000   1.000  1.000

14002690 14   Pecan                              0.015000   1.000  1.000

15004010 15   Wheat, grain                       0.017000   1.000  1.000

15004011 15   Wheat, grain-babyfood              0.017000   1.000  1.000

15004020 15   Wheat, flour                       0.017000   0.150  1.000  Empirical Factor

15004021 15   Wheat, flour-babyfood              0.017000   0.150  1.000  Empirical Factor

15004030 15   Wheat, germ                        0.017000   0.850  1.000  Empirical Factor

15004040 15   Wheat, bran                        0.017000   1.400  1.000  Empirical Factor

21000460 M    Beef, meat byproducts              0.050000   1.000  1.000

21000461 M    Beef, meat byproducts-babyfood     0.050000   1.000  1.000

23001700 M    Goat, meat byproducts              0.050000   1.000  1.000

26003400 M    Sheep, meat byproducts             0.050000   1.000  1.000

95000230 O    Banana                             0.028000   1.000  1.000

95000231 O    Banana-babyfood                    0.028000   1.000  1.000

95000240 O    Banana, dried                      0.028000   3.900  1.000  Default Factor

95000241 O    Banana, dried-babyfood             0.028000   3.900  1.000  Default Factor

95001300 O    Cranberry                          0.199000   1.000  1.000

95001301 O    Cranberry-babyfood                 0.199000   1.000  1.000

95001310 O    Cranberry, dried                   0.199000   1.000  1.000

95001320 O    Cranberry, juice                   0.199000   1.100  1.000

95001321 O    Cranberry, juice-babyfood          0.199000   1.100  1.000

95001750 O    Grape                              0.390000   1.000  1.000

95001760 O    Grape, juice                       0.390000   0.180  1.000  Empirical Factor

95001761 O    Grape, juice-babyfood              0.390000   0.180  1.000  Empirical Factor

95001770 O    Grape, leaves                      0.390000   1.000  1.000

95001780 O    Grape, raisin                      0.390000   4.300  1.000

95001790 O    Grape, wine and sherry             0.390000   0.700  1.000  Empirical Factor

95002630 O    Peanut                             0.035000   1.000  1.000

95002640 O    Peanut, butter                     0.035000   1.890  1.000

95002650 O    Peanut, oil                        0.035000   1.000  1.000

95002830 O    Plantain                           0.028000   1.000  1.000

95002840 O    Plantain, dried                    0.028000   3.900  1.000

86010000 O    Water, direct, all sources         0.016500   1.000  1.000  1 in 10 Year Annual Avg

86020000 O    Water, indirect, all sources       0.016500   1.000  1.000  1 in 10 Year Annual Avg

Attachment 4:  Results of Chronic Dietary Exposure Analysis

NOAEL (Chronic) = 3 mg/kg/day

cPAD = 0.03 mg/kg/day

Residue file name: C:\Documents and Settings\ddotson\My Documents\DEEMFCID\Fenbuconazole\FenbuconCHR.R98

Adjustment factor #2 NOT used.

Analysis Date 05-30-2008/9:59:11

Residue file dated: 05-30-2008/9:54:03/8

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

                    Total exposure by population subgroup

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

                                                    Total Exposure

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

          Population                         mg/kg             Percent of

           Subgroup                       body wt/day             Rfd

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

U.S. Population (total)                     0.000700                 2.3%

U.S. Population (spring season)             0.000689                 2.3%

U.S. Population (summer season)             0.000754                 2.5%

U.S. Population (autumn season)             0.000678                 2.3%

U.S. Population (winter season)             0.000681                 2.3%

Northeast region                            0.000701                 2.3%

Midwest region                              0.000706                 2.4%

Southern region                             0.000624                 2.1%

Western region                              0.000815                 2.7%

Hispanics                                   0.000743                 2.5%

Non-hispanic whites                         0.000708                 2.4%

Non-hispanic blacks                         0.000599                 2.0%

Non-hisp/non-white/non-black                0.000762                 2.5%

All infants (< 1 year)                      0.002027                 6.8%

Nursing infants                             0.000982                 3.3%

Non-nursing infants                         0.002424                 8.1%

Children 1-6  yrs                           0.001521                 5.1%

Children 7-12 yrs                           0.000762                 2.5%

Females 13-19 (not preg or nursing)         0.000438                 1.5%

Females 20+ (not preg or nursing)           0.000629                 2.1%

Females 13-50 yrs                           0.000606                 2.0%

Females 13+ (preg/not nursing)              0.000636                 2.1%

Females 13+ (nursing)                       0.000797                 2.7%

Males 13-19 yrs                             0.000441                 1.5%

Males 20+ yrs                               0.000551                 1.8%

Seniors 55+                                 0.000655                 2.2%

Children 1-2 yrs                            0.001842                 6.1%

Children 3-5 yrs                            0.001450                 4.8%

Children 6-12 yrs                           0.000812                 2.7%

Youth 13-19 yrs                             0.000440                 1.5%

Adults 20-49 yrs                            0.000563                 1.9%

Adults 50+ yrs                              0.000645                 2.2%

Females 13-49 yrs                           0.000572                 1.9%

Attachment 5:  Residue Input File for Cancer Analysis

DEEM-FCID Version 2.03

Filename: C:\Documents and Settings\ddotson\My Documents\DEEMFCID\Fenbuconazole\FenbuconCANCER.R98

Date created/last modified: 05-30-2008/9:55:05/8

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

  EPA    Crop                                   Def Res     Adj.Factors   Comment

  Code    Grp  Commodity Name                    (ppm)       #1    #2

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

01010520 1A   Beet, sugar                        0.061000   1.000  1.000

01010521 1A   Beet, sugar-babyfood               0.061000   1.000  1.000

01010530 1A   Beet, sugar, molasses              0.061000   1.800  1.000  Empirical Factor

01010531 1A   Beet, sugar, molasses-babyfood     0.061000   1.800  1.000  Empirical Factor

08002700 8    Pepper, bell                       0.400000   1.000  1.000  7E7256

08002701 8    Pepper, bell-babyfood              0.400000   1.000  1.000  7E7256

08002710 8    Pepper, bell, dried                0.400000   1.000  1.000  7E7256

08002711 8    Pepper, bell, dried-babyfood       0.400000   1.000  1.000  7E7256

08002720 8    Pepper, nonbell                    0.400000   1.000  1.000  7E7256

08002721 8    Pepper, nonbell-babyfood           0.400000   1.000  1.000  7E7256

08002730 8    Pepper, nonbell, dried             0.400000   1.000  1.000  7E7256

10001060 10   Citrus citron                      0.073000   1.000  1.000  Lemon Pulp

10001070 10   Citrus hybrids                     0.073000   1.000  1.000  Lemon Pulp

10001080 10   Citrus, oil                        0.073000  47.000  1.000  Lemon Pulp + Emp Factor

10001800 10   Grapefruit                         0.016000   1.000  0.400

10001810 10   Grapefruit, juice                  0.016000   0.200  0.400  Citrus Juice Factor

10001970 10   Kumquat                            0.073000   1.000  1.000

10001990 10   Lemon                              0.073000   1.000  1.000

10002000 10   Lemon, juice                       0.073000   0.200  1.000  Citrus Juice Factor

10002001 10   Lemon, juice-babyfood              0.073000   0.200  1.000  Citrus Juice Factor

10002010 10   Lemon, peel                        0.652000   1.000  1.000

10002060 10   Lime                               0.073000   1.000  1.000

10002070 10   Lime, juice                        0.073000   0.200  1.000  Citrus Juice Factor

10002071 10   Lime, juice-babyfood               0.073000   0.200  1.000  Citrus Juice Factor

10002400 10   Orange                             0.017000   1.000  0.010

10002410 10   Orange, juice                      0.017000   0.200  0.010  Citrus Juice Factor

10002411 10   Orange, juice-babyfood             0.017000   0.200  0.010  Citrus Juice Factor

10002420 10   Orange, peel                       0.652000   1.000  0.010

10003070 10   Pummelo                            1.000000   1.000  1.000

10003690 10   Tangerine                          0.073000   1.000  0.010  Lemon Pulp

10003700 10   Tangerine, juice                   0.073000   0.200  0.010  Lemon Pulp + Emp Factor

11000070 11   Apple, fruit with peel             0.142000   1.000  0.010

11000080 11   Apple, peeled fruit                0.142000   1.000  0.010

11000081 11   Apple, peeled fruit-babyfood       0.142000   1.000  0.010

11000090 11   Apple, dried                       0.142000   8.000  0.010  Default Proc Factor

11000091 11   Apple, dried-babyfood              0.142000   8.000  0.010  Default Proc Factor

11000100 11   Apple, juice                       0.142000   0.059  0.010  Empirical Factor

11000101 11   Apple, juice-babyfood              0.142000   0.059  0.010  Empirical Factor

11000110 11   Apple, sauce                       0.142000   1.000  0.010

11000111 11   Apple, sauce-babyfood              0.142000   1.000  0.010

12000120 12   Apricot                            0.307000   1.000  0.100  Average Peach Value

12000121 12   Apricot-babyfood                   0.307000   1.000  0.100

12000130 12   Apricot, dried                     0.307000   6.000  0.100  Default Factor

12000140 12   Apricot, juice                     0.307000   1.000  0.100

12000141 12   Apricot, juice-babyfood            0.307000   1.000  0.100

12000900 12   Cherry                             0.336000   1.000  0.200

12000901 12   Cherry-babyfood                    0.336000   1.000  0.200

12000910 12   Cherry, juice                      0.336000   1.000  0.200

12000911 12   Cherry, juice-babyfood             0.336000   1.000  0.200

12002300 12   Nectarine                          0.307000   1.000  0.100

12002600 12   Peach                              0.307000   1.000  0.150

12002601 12   Peach-babyfood                     0.307000   1.000  0.150

12002610 12   Peach, dried                       0.307000   7.000  0.150  Default Proc Factor

12002611 12   Peach, dried-babyfood              0.307000   7.000  0.150  Default Proc Factor

12002620 12   Peach, juice                       0.307000   1.000  0.150

12002621 12   Peach, juice-babyfood              0.307000   1.000  0.150

12002850 12   Plum                               0.063000   1.000  1.000

12002851 12   Plum-babyfood                      0.063000   1.000  1.000

12002860 12   Plum, prune, fresh                 0.063000   1.000  0.010

12002861 12   Plum, prune, fresh-babyfood        0.063000   1.000  0.010

12002870 12   Plum, prune, dried                 0.063000   3.400  0.010  Empirical Factor

12002871 12   Plum, prune, dried-babyfood        0.063000   3.400  0.010  Empirical Factor

12002880 12   Plum, prune, juice                 0.063000   1.000  0.010

12002881 12   Plum, prune, juice-babyfood        0.063000   1.000  0.010

13020570 13B  Blueberry                          0.300000   1.000  0.400

13020571 13B  Blueberry-babyfood                 0.300000   1.000  0.400

13021360 13B  Currant                            0.093000   1.000  1.000

13021370 13B  Currant, dried                     0.093000   1.000  1.000

13021490 13B  Elderberry                         0.093000   1.000  1.000

13021740 13B  Gooseberry                         0.093000   1.000  1.000

13021910 13B  Huckleberry                        0.093000   1.000  1.000

14000030 14   Almond                             0.015000   1.000  1.000

14000031 14   Almond-babyfood                    0.015000   1.000  1.000

14000040 14   Almond, oil                        0.015000   1.000  1.000

14000041 14   Almond, oil-babyfood               0.015000   1.000  1.000

14002690 14   Pecan                              0.015000   1.000  0.150

15004010 15   Wheat, grain                       0.017000   1.000  1.000

15004011 15   Wheat, grain-babyfood              0.017000   1.000  1.000

15004020 15   Wheat, flour                       0.017000   0.150  1.000  Empirical Factor

15004021 15   Wheat, flour-babyfood              0.017000   0.150  1.000  Empirical Factor

15004030 15   Wheat, germ                        0.017000   0.850  1.000  Empirical Factor

15004040 15   Wheat, bran                        0.017000   1.400  1.000  Empirical Factor

21000460 M    Beef, meat byproducts              0.050000   1.000  1.000

21000461 M    Beef, meat byproducts-babyfood     0.050000   1.000  1.000

23001700 M    Goat, meat byproducts              0.050000   1.000  1.000

26003400 M    Sheep, meat byproducts             0.050000   1.000  1.000

95000230 O    Banana                             0.028000   1.000  1.000

95000231 O    Banana-babyfood                    0.028000   1.000  1.000

95000240 O    Banana, dried                      0.028000   3.900  1.000  Default Factor

95000241 O    Banana, dried-babyfood             0.028000   3.900  1.000  Default Factor

95001300 O    Cranberry                          0.199000   1.000  1.000

95001301 O    Cranberry-babyfood                 0.199000   1.000  1.000

95001310 O    Cranberry, dried                   0.199000   1.000  1.000

95001320 O    Cranberry, juice                   0.199000   1.100  1.000

95001321 O    Cranberry, juice-babyfood          0.199000   1.100  1.000

95001750 O    Grape                              0.390000   1.000  1.000

95001760 O    Grape, juice                       0.390000   0.180  1.000  Empirical Factor

95001761 O    Grape, juice-babyfood              0.390000   0.180  1.000  Empirical Factor

95001770 O    Grape, leaves                      0.390000   1.000  1.000

95001780 O    Grape, raisin                      0.390000   4.300  1.000

95001790 O    Grape, wine and sherry             0.390000   0.700  1.000  Empirical Factor

95002630 O    Peanut                             0.035000   1.000  1.000

95002640 O    Peanut, butter                     0.035000   1.890  1.000

95002650 O    Peanut, oil                        0.035000   1.000  1.000

95002830 O    Plantain                           0.028000   1.000  1.000

95002840 O    Plantain, dried                    0.028000   3.900  1.000

86010000 O    Water, direct, all sources         0.011700   1.000  1.000  30-Year Annual Average

86020000 O    Water, indirect, all sources       0.011700   1.000  1.000  30-Year Annual Average

Attachment 6:  Results of Cancer Dietary Exposure Analysis

NOAEL (Chronic) = 3 mg/kg/day

cPAD = 0.03 mg/kg/day

Q* = 0.00359 (mg/kg/day)-1

Residue file name: C:\Documents and Settings\ddotson\My Documents\DEEMFCID\Fenbuconazole\FenbuconCANCER.R98

Adjustment factor #2 used.

Analysis Date 05-30-2008/10:03:14     Residue file dated: 05-30-2008/9:55:05/8

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

                    Total exposure by population subgroup

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

                                                    Total Exposure

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

          Population                         mg/kg             Percent of

           Subgroup                       body wt/day             Rfd

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

U.S. Population (total)                     0.000473                 1.6%

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Attachment 7:  Screening Level Usage Analysis (SLUA)

May 13, 2008

Screening Level Estimates of Agricultural Uses of FENBUCONAZOLE 129011

Sorted Alphabetically

	Crop	Lbs. A.I.	Percent Crop Treated

	Average	Maximum

1	Apples	<500	<1	<2.5

2	Apricots	<500	10	20

3	Blueberries	3,000	40	50

4	Cherries	5,000	20	25

5	Grapefruit	8,000	40	50

6	Nectarines	1,000	10	20

7	Oranges	2,000	<1	5

8	Peaches	5,000	15	25

9	Pears	<500	<1	<2.5

10	Pecans	20,000	15	20

11	Prunes	<500	<1	<2.5

12	Tangerines	<500	<1	<2.5

13	Walnuts	<500	<1	<2.5

All numbers rounded

<500 indicates less than 500 pounds of active ingredient

<2.5 indicates less than 2.5 percent of crop is treated

<1 indicates less than 1 percent of crop is treated

SLUA Data Sources Include:

USDA-NASS (United States Department of Agriculture’s National Agricultural Statistics Service);  2001-2006

Private Pesticide Market Research, 2001-2006

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.

Fenbuconazole	Dietary Exposure and Risk Assessment	DP Number: 350321

PC Code:  129011

Page   PAGE  1  of   NUMPAGES  20


[Federal Register: June 21, 2010 (Volume 75, Number 118)]
[Notices]
[Page 35014-35015]
[DOCID:fr21jn10-68]

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

DEPARTMENT OF ENERGY

Federal Energy Regulatory Commission

Combined Notice of Filings 1

June 7, 2010.
    Take notice that the Commission received the following electric
rate filings:

    Docket Numbers: ER99-1435-023; ER10-390-002; ER00-1814-011.
    Applicants: Avista Corporation.
    Description: Avista Corp et al. submits amendments to the
limitations and exemptions sections of Avista's and Turbines respective
market based rate tariffs.
    Filed Date: 06/04/2010.
    Accession Number: 20100604-0208.
    Comment Date: 5 p.m. Eastern Time on Friday, June 25, 2010.

    Docket Numbers: ER10-793-001.
    Applicants: Wolverine Creek Goshen Interconnection.
    Description: Wolverine Creek Goshen Interconnection, LLC et al.
submits Common Facilities Agreement currently on file with Commission
as Rate Schedules FERC No. 1 for WCGI and Wolverine.
    Filed Date: 06/04/2010.
    Accession Number: 20100604-0023.
    Comment Date: 5 p.m. Eastern Time on Friday, June 25, 2010.

    Docket Numbers: ER10-1261-001.
    Applicants: E.ON U.S. LLC.
    Description: Louisville Gas and Electric Company et al. submits an
executed interconnection agreement with the City of Owensboro,
Kentucky.
    Filed Date: 06/04/2010.
    Accession Number: 20100607-0201.
    Comment Date: 5 p.m. Eastern Time on Friday, June 25, 2010.

    Docket Numbers: ER10-1369-000.
    Applicants: PJM Interconnection, LLC.
    Description: PJM Interconnection, LLC submits at the request of its
members, revisions to the Amended and Restated Operating Agreement.
    Filed Date: 05/28/2010.
    Accession Number: 20100601-0249.
    Comment Date: 5 p.m. Eastern Time on Friday, June 18, 2010.

    Docket Numbers: ER10-1397-000.
    Applicants: PJM Interconnection, LLC.
    Description: PJM Interconnection, LLC submits an executed
interconnection service agreement.
    Filed Date: 06/04/2010.
    Accession Number: 20100604-0207.
    Comment Date: 5 p.m. Eastern Time on Friday, June 25, 2010.

    Docket Numbers: ER10-1398-000.
    Applicants: PacifiCorp.
    Description: PacifiCorp submits Notice of Termination of PacifiCorp
Rate Schedule FERC 324, a Transmission Service Agreement between United
States of America Department of Energy, etc.
    Filed Date: 06/04/2010.
    Accession Number: 20100604-0211.
    Comment Date: 5 p.m. Eastern Time on Friday, June 25, 2010.

    Docket Numbers: ER10-1399-000.
    Applicants: PacifiCorp.
    Description: PacifiCorp submits Notice of Termination for Service
Agreement No 648 et al.
    Filed Date: 06/04/2010.
    Accession Number: 20100604-0212.
    Comment Date: 5 p.m. Eastern Time on Friday, June 25, 2010.

    Docket Numbers: ER10-1400-000.
    Applicants: Midwest Independent Transmission System Operator, Inc.
    Description: Midwest Independent Transmission System Operator, Inc.
submits revisions to Section 2 of the Generator Interconnection
Procedures in the Attachment X of their Open Access Transmission, etc.
    Filed Date: 06/04/2010.
    Accession Number: 20100607-0202.
    Comment Date: 5 p.m. Eastern Time on Friday, June 25, 2010.

    Docket Numbers: ER10-1401-000.
    Applicants: California Independent System Operator Corporation.
    Description: California Independent System Operator Corporation
submits proposed amendments to its approved tariff to implement a
revised transmission planning process.
    Filed Date: 06/04/2010.
    Accession Number: 20100607-0203.
    Comment Date: 5 p.m. Eastern Time on Friday, June 25, 2010.

    Docket Numbers: ER10-1402-000.
    Applicants: PJM Interconnection, LLC.
    Description: PJM Interconnection, LLC submits an executed Wholesale
Market Participation Agreement with Charleston Clean Energy, LLC et al.
    Filed Date: 06/07/2010.
    Accession Number: 20100607-0206.
    Comment Date: 5 p.m. Eastern Time on Monday, June 28, 2010.

    Docket Numbers: ER10-1403-000.
    Applicants: Stephentown Regulation Services LLC.
    Description: Application of Stephentown Regulation Services LLC for
acceptance of a market-based rate tariff and granting of waivers and
blanket authorization.
    Filed Date: 06/07/2010.
    Accession Number: 20100607-0207.
    Comment Date: 5 p.m. Eastern Time on Monday, June 28, 2010.

    Docket Numbers: ER10-1404-000.
    Applicants: Delmarva Power & Light Company.
    Description: Delmarva Power & Light Company submits an executed
Interconnection and Mutual Operating Agreement with Town of Smyma,
Delaware.
    Filed Date: 06/07/2010.
    Accession Number: 20100607-0208.
    Comment Date: 5 p.m. Eastern Time on Monday, June 28, 2010.

    Docket Numbers: ER10-1405-000.
    Applicants: Tampa Electric Company.
    Description: Tampa Electric Company submits the Interconnection and
Operating Agreement with Florida Power Corporation for the Dade City
Substation Interconnection.
    Filed Date: 06/07/2010.
    Accession Number: 20100607-0209.
    Comment Date: 5 p.m. Eastern Time on Monday, June 28, 2010.

    Any person desiring to intervene or to protest in any of the above
proceedings must file in accordance with Rules 211 and 214 of the
Commission's Rules of Practice and Procedure (18 CFR 385.211 and
385.214) on or before 5 p.m. Eastern time on the specified comment
date. It is not necessary to separately intervene again in a subdocket
related to a compliance filing if you have previously intervened in the
same docket. Protests will be considered by the Commission in
determining the appropriate action to be taken, but will not serve to
make protestants parties to the proceeding. Anyone filing a motion to
intervene or protest must serve a copy of that document on the
Applicant. In reference to filings initiating a new proceeding,
interventions or protests submitted on or before the comment deadline
need not be served on persons other than the Applicant.
    As it relates to any qualifying facility filings, the notices of
self-certification [or self-recertification] listed above, do not
institute a proceeding regarding qualifying facility status. A notice
of self-certification [or self-recertification] simply provides
notification that the entity making the filing has determined the
facility named in the notice meets the applicable criteria to be a
qualifying facility. Intervention and/or protest do not lie in dockets
that are qualifying facility self-certifications or self-
recertifications. Any person seeking to challenge such qualifying
facility status may do so by filing a motion pursuant to 18 CFR
292.207(d)(iii). Intervention and protests may be filed in response to
notices of qualifying facility dockets other than self-certifications
and self-recertifications.
    The Commission encourages electronic submission of protests and
interventions in lieu of paper, using the FERC Online links at http://
www.ferc.gov. To facilitate electronic service, persons with Internet
access who will eFile a document and/or be listed as a contact for an
intervenor must create and validate an eRegistration account using the
eRegistration link. Select the eFiling link to log on and submit the
intervention or protests.
    Persons unable to file electronically should submit an original and
14 copies of the intervention or protest to the Federal Energy
Regulatory Commission, 888 First St. NE., Washington, DC 20426.
    The filings in the above proceedings are accessible in the
Commission's eLibrary system by clicking on the appropriate link in the
above list. They are also available for review in the Commission's
Public Reference Room in Washington, DC. There is an eSubscription link
on the Web site that enables subscribers to receive e-mail notification
when a document is added to a subscribed dockets(s). For assistance
with any FERC Online service, please e-mail<EMAIL_ADDRESS>
or call<PHONE_NUMBER> (toll free). For TTY, call<PHONE_NUMBER>.

Nathaniel J. Davis, Sr.,
Deputy Secretary.
[FR Doc. 2010-14857 Filed 6-18-10; 8:45 am]
BILLING CODE 6717-01-P


[Federal Register: November 10, 2005 (Volume 70, Number 217)]
[Notices]
[Page 68440]
[DOCID:fr10no05-114]

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DEPARTMENT OF ENERGY

Federal Energy Regulatory Commission

[Docket No. RM05-30-000]

Rules Concerning Certification of the Electric Reliability
Organization; and Procedures for the Establishment, Approval, and
Enforcement of Electric Reliability Standards; Notice of Technical
Conferences

November 3, 2005.
    Take notice that two technical conferences will be held in the
offices of the Federal Energy Regulatory Commission, 888 First Street,
NE., Washington, DC. All interested persons may attend, and
registration is not required. This will be a staff conference, but
Commissioners also may attend.
    These technical conferences will address industry perspectives on
certain issues, which are the subject of the Notice of Proposed
Rulemaking in Docket No. RM05-30-000. The discussions will focus on the
process that the Electric Reliability Organization (ERO) will use in
proposing the new mandatory reliability standards, the role of regional
entities in that process, and how existing reliability standards can be
improved over time.
    The first technical conference will be held on Friday, November 18,
2005, from approximately 9:30 a.m. until 4 p.m. (EST), in the
Commission Meeting Room on the second floor of the Commission. A
follow-up technical conference is tentatively scheduled for Friday,
December 9, 2005. Additional details for both conferences, including
agendas, panelists, and the time and location for the December
conference, will be provided at a later time.
    Transcripts of the conferences will be immediately available from
Ace Reporting Company<PHONE_NUMBER> or 1-800-336-6646) for a fee. They
will be available for the public on the Commission's eLibrary system
seven calendar days after the Commission receives the transcript.
Additionally, Capitol Connection offers the opportunity for remote
listening and viewing of the conferences. It is available for a fee,
live over the Internet, by phone or via satellite. Persons interested
in receiving the broadcasts, or who need information on making
arrangements should contact David Reininger or Julia Morelli at the
Capitol Connection<PHONE_NUMBER>) as soon as possible or visit the
Capitol Connection Web site at http://www.capitolconnection.gmu.edu and

click on ``FERC.''
    Commission conferences are accessible under section 508 of the
Rehabilitation Act of 1973. For accessibility accommodations please
send an e-mail to<EMAIL_ADDRESS>or call toll free<PHONE_NUMBER>
(voice) or<PHONE_NUMBER> (TTY), or send a FAX to<PHONE_NUMBER> with the
required accommodations.
    For more information about these conferences, please contact Yvonne
Bartoli at<PHONE_NUMBER><EMAIL_ADDRESS>or Sarah McKinley
at<PHONE_NUMBER> (sarah.mckinley@ferc.gov).

Magalie R. Salas,
Secretary.
 [FR Doc. E5-6204 Filed 11-9-05; 8:45 am]

BILLING CODE 6717-01-P


Table 1c National Industry Burden for Existing Major Sources Third Year NESHAP for Ferroalloy Production  Ferromanganese and Silicomanganese Production Facilities A B C D E F G H Reporting and Recordkeeping requirements Person hours per Annual Annual person hours Total number Technical hours Management hours Clerical hours Total Annual occurence occurrences per respondent of respondents per year per year per year Cost per respondent ( A X B) ( C X D) @ $ 27.90 ( E x 0.05) @ $ 37.72 ( E x 0.05) @ $ 16.69 1. Reporting Requirements a. Read Instructions 4 2 8 1 8 0.4 0.4 $ 245 b. Gather Existing Information 4 2 8 1 8 0.4 0.4 $ 245 c. Write Reports i. Performance test notification 1 1 1 1 1 0.05 0.05 $ 31 ii. Compliance status notification 2 1 2 1 2 0.1 0.1 $ 61 iii. Performance test reports/ Opacity Obs. 5 1 5 1 5 0.25 0.25 $ 153 iv. Startup/ shutdown/ malfunction reports 10 2 20 1 20 1 1 $ 612 v. Excess Emissions report 4 4 16 1 16 0.8 0.8 $ 490 vi. Capture hood inspection report 4 2 8 1 8 0.4 0.4 $ 245 vii. Summary of maintenance records 4 2 8 1 8 0.4 0.4 $ 245 viii. Fugitive dust operations report 4 2 8 1 8 0.4 0.4 $ 245 2. Recordkeeping Requirements a. Plan Activities 10 1 10 1 10 0.5 0.5 $ 306 b. Implement Activities i. Control devices Performance test/ Opacity Observation 50 1 50 1 50 2.5 2.5 $ 1,531 Monitoring activities fan amperes, damper position ( 1) 0.1 1050 105 1 105 5.25 5.25 $ 3,215 scrubber pressure drop ( automatic device)

baghouse monitoring daily 0.5 350 175 1 175 8.75 8.75 $ 5,359 weekly 0.1 50 5 1 5 0.25 0.25 $ 153 monthly 0.1 12 1.2 1 1.2 0.06 0.06 $ 37 quarterly 0.1 4 0.4 1 0.4 0.02 0.02 $ 12 semiannually 0.1 2 0.2 1 0.2 0.01 0.01 $ 6 bag leak detection system installation ii. Capture system inspection 2 12 24 1 24 1.2 1.2 $ 735 iii. Opacity violation/ scrubber 2 1 2 1 2 0.1 0.1 $ 61 iv. Opacity violation/ baghouse 2 20 40 1 40 2 2 $ 1,225 v. Monitoring violation/ capture system 2 12 24 1 24 1.2 1.2 $ 735 c. Develop record system i. Develop startup/ shutdown/ malfunction plan 2 1 2 1 2 0.1 0.1 $ 61 ii. Develop fugitive dust plan 2 1 2 1 2 0.1 0.1 $ 61 iii. Control Equipment/ maintenance plan 2 1 2 1 2 0.1 0.1 $ 61 iv. Visible emission observation 2 1 2 1 2 0.1 0.1 $ 61 d. Time to enter information i. Control equipment testing 30 1 30 1 30 1.5 1.5 $ 919 ii. Control equipment inspection 0.1 12 1.2 1 1.2 0.06 0.06 $ 37 e. Time to train personnel i. Control equipment inspection and monitoring 4 1 4 1 4 0.2 0.2 $ 122 f. Store, file and maintain records 20 2 40 1 40 2 2 $ 1,225 Total 604 30 30 $ 18,495 Notes:

* Labor rates were obtained from the Bureau of Labor Statistics internet website ( http:// stats. bls. gov/ news. release/ ecec. toc. htm)

( 1) Based on monitoring parameters once per shift for two shifts per day, 350 days per year.