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Controls of pesticide residues in food and feed - Belgium 2014 Results of the official controls in accordance to Regulation (CE) N°396/2005 and Commission Regulation (EC) N° 480/2013 December 2015

Controls of pesticide residues in food and feed - Belgium 2014€¦ · plant origin from 2010 to 2014 (surveillance samples) As in previous years, more MRL violations were proportionally

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  • Controls of pesticide residues in food and feed - Belgium 2014

    Results of the official controls in accordance to Regulation (CE)

    N°396/2005 and Commission Regulation (EC) N° 480/2013

    December 2015

  • 2014 National summary reports

    www.efsa.europa.eu/publications EFSA Supporting publication 20YY:EN-NNNN

    PESTICIDE RESIDUE CONTROL RESULTS

    NATIONAL SUMMARY REPORT

    Country: BELGIUM

    Year: 2014

    National competent authority/organisation:

    FEDERAL AGENCY FOR THE SAFETY OF THE FOOD CHAIN (FASFC)

    Web address where the national annual report is published:

    http://www.afsca.be

    http://www.afsca.be/

  • 2014 National summary reports

    www.efsa.europa.eu/publications EFSA Supporting publication 20YY:EN-NNNN

    1. Country: Belgium

    1.1. Objective and design of the national control programme

    The use of plant protection products during the production of fruit, vegetables and cereals can lead

    to the presence of residues in food and feed. Maximum residue levels (MRL) are set in the European

    legislation1 in order to check the good use of plant protection products (use of authorised products

    according to their authorization) and to protect the consumers. Food or feed which do not comply

    with the MRL cannot be put on the market. An MRL exceeding content is the sign of incorrect use of

    a plant protection product but does not necessarily involve a risk for the health of consumers.

    The approach used by the Federal Agency for the Safety of the Food Chain (FASFC) for the control of

    pesticide residues is risk based. The programme has been drawn up following the general statistical

    approach developed within the FASFC2. Several factors have been taken into account: the toxicity of

    the active substances, food consumption statistics, food commodities with a high residues/non-

    compliance rate in previous monitoring years, origin of food (domestic, EU or third country), RASFF

    notifications and all other useful information.

    All groups of fruits and vegetables are included in the programme and a rotation programme has

    been applied for less important commodities. The coordinated control programme3 of the European

    Commission and some targeted sampling (mainly targeted sampling at border controls according to

    Regulation 669/20094) have been also included in the national programme.

    Adjustments to the programme can be made in the course of the year so that emerging problems

    can be dealt with.

    The FASFC determines the target pesticides for each sample type according to a risk based approach.

    The criteria considered are active substances authorised in Belgium, results of previous control

    programmes in Belgium and other Member States, RASFF messages and analytical possibilities.

    1Regulation (EC) N°396/2005 of the EU Parliament and the Council of 23 February 2005 on maximum residue

    levels of pesticides in or on food and feed of plant and animal origin

    2 Maudoux J-P., Saegerman C., Rettigner C., Houins G., Van Huffel X. & Berkvens D., Food safety surveillance by

    a risk based control programming: approach applied by the Belgian federal agency for the safety of the food chain (FASFC), Vet. Quart. 2006, 28(4): 140-154. http://www.favv-afsca.fgov.be/publicationsthematiques/food-safety.asp 3 Commission implementing Regulation (EU) No 788/2012 of 31 August 2012 concerning a coordinated

    multiannual control programme of the Union for 2013, 2014 and 2015 to ensure compliance with maximum residue levels of pesticides and to assess the consumer exposure to pesticide residues in and on food of plant and animal origin 4 Regulation (EC) N°669/2009 of 24 July 2009 implementing Regulation (EC) No 882/2004 of the European

    Parliament and of the Council as regards the increased level of official controls on imports of certain feed and food of non-animal origin

    http://www.favv-afsca.fgov.be/publicationsthematiques/food-safety.asphttp://www.favv-afsca.fgov.be/publicationsthematiques/food-safety.asp

  • 2014 National summary reports

    www.efsa.europa.eu/publications EFSA Supporting publication 20YY:EN-NNNN

    Sampling is done in accordance with Directive 2002/63/EC5 that has been implemented in Belgian

    legislation. Samples are analysed in ISO 17025 accredited laboratories by means of multi-residues

    and single-residues methods which in 2014 allowed the detection of more than 550 pesticide

    residues.

    1.2. Key findings, interpretation of the results and comparability with the previous year results

    In 2014, a total number of 3823 samples of fruits, vegetables, cereals, animal products and processed

    products (including baby food) were taken by the Federal Agency for the Safety of the Food Chain

    (FASFC) and analysed for the presence of pesticide residues. The products analysed were of Belgian

    origin (39%), EU origin (18%), non-EU origin (35%) and unknown origin (8%).

    95,5% of the samples analysed were compliant with the pesticide residues legislation. Table 1

    summarises the results per groups of products with respect to the sampling strategy.

    Table 1: Summary results

    Sampling strategy

    Samples Analysed without residues (%)

    with residues at or below MRL (%)

    > MRL6 (%)

    >MRL7 (Non

    compliant) (%)

    Compared to 2013

    (non compliant)

    Surveillance Fruit, vegetables, cereals & other

    products of plant

    origin

    2019 31,7% 63,1% 5,2% 2,5% 1,4% (↑)

    Processed products (food)

    221 61,5% 38% 0,5% 0 0% (=)

    Animal products8 601 83,7% 16,8% 0 0 0% (=)

    Baby food 92 91,3% 3,3% 5,4% 3,3% 0% (↑)

    Feed 86 62,8% 32,6% 4,6% 4,6% 2,1% (↑)

    3019 46,9% 49,3% 3,8% 1,9% 1,6% (↑)

    Enforcement Fruit, vegetables, cereals & other

    products of plant origin9

    800 27,7% 51,6% 20,7% 14,3% 9% (↑)

    Animal products10 2 50% 50% 0 0 0% (=)

    Feed 2 0 100% 0 0 0% (=)

    804 27,6% 51,6% 20,8% 14,2% 9% (↑)

    TOTAL 3823 43% 49,7% 7,3% 4,5% 3,7% (↑)

    Surveillance sampling

    3019 surveillance samples were analysed within the context of the control programme. 98,1%

    were compliant with the legislation in force.

    5 Commission Directive 2002/63/EC of 11 July 2002 establishing Community methods of sampling for the

    official control of pesticide residues in and on products of plant and animal origin and repealing Directive

    79/700/EEC

    6 Measurement uncertainty is not taken into account (numerical MRL exceedances)

    7 Measurement uncertainty is taken into account (samples non compliant)

    8 Some animal products were analysed in the framework of Council Directive 96/23/EC of 29 April 1996 on

    measures to monitor certain substances and residues thereof in live animals and animal products 9 Including samples analysed in the framework of Regulation (CE) N°669/2009

    10 Some animal products were analysed in the framework of Council Directive 96/23/EC of 29 April 1996 on

    measures to monitor certain substances and residues thereof in live animals and animal products

  • 2014 National summary reports

    www.efsa.europa.eu/publications EFSA Supporting publication 20YY:EN-NNNN

    The rate of non-compliances in fruit, vegetables, cereals and other products of plant origin is

    higher than in 2013 (+1,1%).

    Graph 1: overview of the evolution of the results for fruit, vegetables, cereals & other products of

    plant origin from 2010 to 2014 (surveillance samples)

    As in previous years, more MRL violations were proportionally observed in non-EU products

    (5,1%) than in products grown in the EU (1,1%) (see table A0 of the report).

    Passion fruits, pitayas, tea & chilli-peppers imported from third countries showed the highest

    rate of non compliance. Main non compliances in Belgian products were observed in turnips,

    celeries and parsley (see also table 2).

    Three samples of babyfood (3,3% of the samples analysed) contained a residue of a disinfectant

    above the MRL of 0,01 mg/kg specified in the specific legislation on babyfood.

    All the animal and processed products were compliant.

    The list of MRL exceedances can be found in table D of the summary report.

    Enforcement sampling

    804 enforcement samples were analysed in the case of suspicion about the non compliance of a

    product with EU MRLs. These products were mainly targeted products analysed according to

    Regulation 669/2009 (products coming mainly from Thailand, the Dominican Republic, Egypt and

    China) and products analysed within the context of following up of violations found previously.

    85,7% were compliant with the legislation.

    Main MRL violations were observed in products from The Dominican Republic, Cambodia and

    Uganda (see table A5 of the report).

  • 2014 National summary reports

    www.efsa.europa.eu/publications EFSA Supporting publication 20YY:EN-NNNN

    Graph 2: overview of the evolution of the results for fruit, vegetables, cereals & other products of

    plant origin from 2010 to 2013 (enforcement samples)

    1.3. Non-compliant samples: possible reasons, ARfD exceedances and actions taken

    When non-compliant samples are identified, the batch is seized, if available, and prevented from

    entering the market. An assessment of the risk for consumers is performed on all non-compliant

    samples and the appropriate measures such as recall and RASFF notification are taken11 according to

    the risk of the non compliant product for the consumer.

    Follow-up action is taken to verify the violation and to identify its cause. When non-compliant

    samples are identified, the producer or importer is subject to enhanced control and an official report

    is drawn up and sent to the legal department of the FASFC which proposes a fine. If the fine is not

    paid, or in case of repeated offences, the matter is taken to court.

    The reason of MRL violations is investigated as far as possible in Belgian products (table 2). Non compliances in imported products cannot be investigated but are mainly related to the use of plant protection products which are not authorized in the EU and for which no import tolerances were set.

    Fifty-four RASFF messages were issued by Belgium in 2014 for pesticide residues in food and feed12 in the framework of the control plan of the FASFC or autocontrols carried out by business operators.

    Table 2: Possible reasons for MRL non compliance in products of Belgian origin

    Reasons for MRL non-compliance Pesticide(a)/food product

    Frequency(b) Comments

    GAP not respected: use of an approved pesticide not authorised on the specific crop(c)

    Dimethoate / celery Dimethoate / scarole Chlorpyriphos / turnip Chlorothalonil / scarole

    2 1 1 1

    GAP not respected: use of an approved pesticide, but application rate, number of treatments, application method or PHI not respected

    Dimethoate / turnips Dimethoate / cauliflower Spinosad / celeriac Spinosad / strawberries Chlorpropham / fennel Prosulfocarb / parsley

    3 1 1 1 1 1

    11

    The actions to be taken when an MRL is exceeded are described in a procedure available on the website of the FASFC (http://www.afsca.be/publicationsthematiques/inventaire-actions.asp). 12

    http://ec.europa.eu/food/food/rapidalert/rasff_portal_database_en.print.htm

    http://www.afsca.be/publicationsthematiques/inventaire-actions.asphttp://ec.europa.eu/food/food/rapidalert/rasff_portal_database_en.print.htm

  • 2014 National summary reports

    www.efsa.europa.eu/publications EFSA Supporting publication 20YY:EN-NNNN

    Reasons for MRL non-compliance Pesticide(a)/food product

    Frequency(b) Comments

    Contamination from previous use of a pesticide: uptake of residues from the soil (e.g. persistent pesticides used in the past)

    Mepronil / parsley

    1

    Reason unknown Dichlorvos / cucumbers Chlorpyriphos/ parsley Chlopropham / parsley

    1 1 1

    (a): Report name as specified in the MatrixTool (b): Number of cases (c): Applicable only for food products produced in the EU

    1.4. Quality assurance

    Seven ISO17025 accredited laboratories analysed pesticide residues in the framework of the control program 2014 of the FASFC.

    Table 3: Laboratories participation in the control program

    Country Laboratory Accreditation Participation in proficiency tests or

    inter-laboratory tests Name Code Date Body

    Belgium Fytolab C.V.B.A (now Primoris Belgium cvba)

    FYTOLAB 2014-07-31 BELAC EUPT-CF8 2014 (Wheat flour) ; EUPT-AO 09 (Frozen Whole

    Egg) ; EUPT-FV 16 (Green pepper) ; EUPT SM06 (Sweet

    pepper) ; EUPT SRM9 (Cow’s milk) ; APLAC PT T094 (Freeze dried kimchi cabbage) ;

    COIPT14 (Olive oil); Testqual 54 (pear) [dithiocarbamates] ;

    EUPT FV T02 (tea)

    The Netherlands

    Laboratorium Zeeuws-Vlaanderen BV

    ZEEUWS 2013-11-27 RvA FAPAS CSL - Test 19164 (Red Grape Purée) [Ethephon] ; EUPT-CF8 2014 (Wheat flour) ; FAPAS CSL - Test 19168

    (Orange) ; EUPT-FV 16 (Green pepper) ; FAPAS CSL - Test

    1593 (Spinach Puree) [Nitrate] ; APLAC PT T094 (Freeze dried kimchi cabbage) ; BNN Lach &

    Bruns (Kumquat) ; BNN Lach & Bruns (Amaranth) ; FAPAS CSL

    – Test 19171 (lemon) ; FAPAS CSL – Test 19178 (strawberry)

    ; FAPAS CSL – Test 19182 (mint) ; FAPAS CSL – Test 0989 (wheat) ; FAPAS CSL – Test

    0990 (oats) ; FAPAS CSL – Test 15100 (rucola) ; QS – B

    (potato) ; QS – C (plum) ; PROOF – ACS P1410 (basilicum & courgette) [chlorate,

    perchlorate] ; PROOF – ACS P1411 (kaki & cucumber)

    [phosphonic acid] ; PROOF – ACS P1402 (paprika powder) ; PROOF – ACS P1403 (Apple,

    abricot, cherry) [dithianon] ; Relana (blackberry)

    Belgium WIV - ISP (Pesticiden)

    WIV-PEST 2013-04-19 BELAC EUPT-CF8 2014 (Wheat flour) ; EUPT-AO 09 (Frozen Whole

    Egg) ; EUPT-FV 16 (Green pepper) ; EUPT-SRM9 (Cow's milk) [2,4-D; BAC;

    Chlormequat, Cyromazin, Fluazifop, Maleïnehydrazide,

    Mepiquat] ; EUPT-T02 (tea); APLAC PT T094 (Freeze dried

    kimchi cabbage)

    Germany LUFA-ITL GmbH LUFA 2013-10-21 DAkkS EUPT-CF8 2014 (Wheat flour) ; EUPT-AO 09 (Frozen Whole

  • 2014 National summary reports

    www.efsa.europa.eu/publications EFSA Supporting publication 20YY:EN-NNNN

    Country Laboratory Accreditation Participation in proficiency tests or

    inter-laboratory tests Name Code Date Body

    Egg) ; EUPT-FV 16 (Green

    pepper) ; EUPT-SRM9 (Cow's milk) [2,4-D, BAC,

    Chlormequat, Chlortahlonil, Chlorate, Cyromazi, DDAC, Fluazifop, Glyphosate,

    Haloxyfop; Maleïnehydrzaide, Mepiquat, Perchlorate]

    Belgium Federaal Laboratorium voor de Voedselveiligheid Tervuren

    FLVVT 2013-05-24 BELAC EUPT-CF8 2014 (Wheat flour) ; EUPT-AO 09 (Frozen Whole

    Egg)

    Belgium Laboratoire Fédéral pour la Sécurité Alimentaire Liège

    LFSAL 2013-05-24 BELAC FAPAS CSL - Test 0595 (Butter) ; FAPAS CSL - Test 1598 (Lettuce Puree) [Nitrate] ; FAPAS CSL - Test 0597 (Milk

    powder) ; FAPAS CSL - Test 05100 (Oily fish) ; FAPAS CSL -

    Test 05102 (Infant formula) ; EUPT-AO 09 (Frozen Whole Egg) ; BIPEA - 19 G - 2014/04

    (Miel - Avril 2014) ; BIPEA - 19 G - 2014/06 (Miel - Juin 2014) ;

    BIPEA - 19 G - 2014/10 (Miel - Octobre 2014) ; BIPEA - 19 G - 2014/12 (Miel - Decembre

    2014) ; FAPAS CSL - Test 15100 (Rocket (rucola) Puree)

    [Nitrate] ; FAPAS CSL - Test 1593 (Spinach Puree) [Nitrate]

    Belgium CER Groupe - Département Santé

    CER 2013-01-31 BELAC EUPT-AO 09 (Frozen Whole Egg)

    1.5. Processing factors

    Processing factors are applied when necessary to verify compliance of processed products with EU MRLs according to article 20 of Regulation 396/2005. Processing factors were mainly applied to cover the dehydratation of herbs and fruits which were part of tea and infusions.

    1.6. Additional information

    In 2014, 19 organic food and feed products were analysed by the FASFC. Pesticide residues were

    detected in three samples : potatoes (chlorpropham), rice (deltamethrin) and a feed product

    (chlorpropham). All of them complied with the MRL set in Regulation 396/2005.

  • Totals for Cereals, Sum (fruit, vegetables, other plant origin) and Animal products are for unprocessed commodities

    Pesticide monitoring 2014 Belgium on November 25, 2015 at 12:20:57 PM 2Table A0: Summary of samples taken in 2014 by product class

    Totals for Cereals, Sum (fruit, vegetables, other plant origin) and Animal products are for unprocessed commodities

    Pesticide monitoring 2014 Belgium on November 25, 2015 at 12:20:57 PM 2Table A0: Summary of samples taken in 2014 by product class

    Samples TotalWithout

    Residues %

    Withresidues

    belowMRL %

    ExceedingMRL %

    NonCompliant %

    Animal products 603 502 83% 101 17% 0 0.0% 0 0.0%

    Baby food 92 84 91% 3 3.3% 5 5.4% 3 3.3%

    Cereals 81 31 38% 47 58% 3 3.7% 1 1.2%

    Other products 82 52 63% 26 32% 4 4.9% 4 4.9%

    Processed products 227 142 63% 84 37% 1 0.4% 0 0.0%

    Sum of fruits and nuts, vegetables, other plant products 2738 832 30% 1638 60% 268 9.8% 164 6.0%

    3823 1643 43% 1899 50% 281 7.4% 172 4.5%

  • EEA = EU Member States, and Iceland and Norway - TC = Other Countries not part of EEA - UNK = Unknown

    Pesticide monitoring 2014 Belgium on November 25, 2015 at 12:20:57 PM 3Table A0: Summary of samples taken in 2014 by region of origin

    EEA = EU Member States, and Iceland and Norway - TC = Other Countries not part of EEA - UNK = Unknown

    Pesticide monitoring 2014 Belgium on November 25, 2015 at 12:20:57 PM 3Table A0: Summary of samples taken in 2014 by region of origin

    Strategy=Enforcement

    Origin Samples Samples % Exceeding MRL Exceeding MRL % Non Compliant Non Compliant %

    Domestic 5 .13% 1 20% 1 20%

    EEA 1 .03% 0 .00% 0 .00%

    TC 778 20% 161 21% 112 14%

    UNK 20 .52% 4 20% 1 5.0%

    Strategy=Surveillance

    Origin Samples Samples % Exceeding MRL Exceeding MRL % Non Compliant Non Compliant %

    Domestic 1483 39% 39 2.6% 16 1.1%

    EEA 697 18% 25 3.6% 8 1.1%

    TC 566 15% 43 7.6% 29 5.1%

    UNK 273 7.1% 8 2.9% 5 1.8%

  • Figures in bold are subtotals and totals for product groupsEx = number of samples above MRL; % = percentage of samples below MRL

    Pesticide monitoring 2014 Belgium on November 25, 2015 at 12:20:57 PM 4Table A1-a: Exceedence of MRL, number of samples exceeding MRL and percentage of samples below the MRL

    Part (a) - Variables related to the origin of samples

    Figures in bold are subtotals and totals for product groupsEx = number of samples above MRL; % = percentage of samples below MRL

    Pesticide monitoring 2014 Belgium on November 25, 2015 at 12:20:57 PM 4Table A1-a: Exceedence of MRL, number of samples exceeding MRL and percentage of samples below the MRL

    Part (a) - Variables related to the origin of samples

    Strategy=Enforcement

    Product Class Product Text Total Ex % Domestic Ex % EEA Ex %Third

    Country Ex %

    Animal products DAIRY PRODUCTS CATTLE (MILK) 1 0 100 1 0 100 0 0 . 0 0 .

    SWINE MUSCLE 1 0 100 1 0 100 0 0 . 0 0 .

    Animal products 2 0 100 2 0 100 0 0 . 0 0 .

    Cereals BARLEY 1 0 100 1 0 100 0 0 . 0 0 .

    Cereals 1 0 100 1 0 100 0 0 . 0 0 .

    Fruits and nuts APPLES 2 0 100 0 0 . 0 0 . 0 0 .

    GUAVA 10 6 40 0 0 . 0 0 . 9 6 33.3

    MANDARINS 1 0 100 0 0 . 0 0 . 1 0 100

    ORANGES 13 2 84.6 0 0 . 0 0 . 13 2 84.6

    PASSION FRUIT 11 6 45.5 0 0 . 0 0 . 11 6 45.5

    PEARS 1 0 100 0 0 . 0 0 . 0 0 .

    PINEAPPLES 5 1 80 0 0 . 0 0 . 5 1 80

    PITAYA 12 9 25 0 0 . 0 0 . 12 9 25

    POMELO 3 0 100 0 0 . 0 0 . 3 0 100

    STRAWBERRIES 72 0 100 0 0 . 0 0 . 72 0 100

    SWEET CRANBERRIES 1 0 100 0 0 . 0 0 . 1 0 100

    TABLE GRAPES 1 0 100 0 0 . 0 0 . 0 0 .

    Fruits and nuts 132 24 81.8 0 0 . 0 0 . 127 24 81.1

    Other plant products DRIED BEANS 1 1 0 0 0 . 0 0 . 1 1 0

    HOPS, DRIED, INCLUDING HOP PELLETS UNCONCENTRATED 1 0 100 0 0 . 0 0 . 1 0 100

    TEA 47 28 40.4 0 0 . 0 0 . 47 28 40.4

    Other plant products 49 29 40.8 0 0 . 0 0 . 49 29 40.8

    Other products CROPS EXCLUSIVELY USED FOR ANIMAL FEED 1 0 100 1 0 100 0 0 . 0 0 .

    WHEAT (FEED) 1 0 100 0 0 . 1 0 100 0 0 .

    Other products 2 0 100 1 0 100 1 0 100 0 0 .

    Vegetables AUBERGINES (EGG PLANTS) 46 6 87 0 0 . 0 0 . 46 6 87

    BASIL 11 0 100 0 0 . 0 0 . 11 0 100

  • Figures in bold are subtotals and totals for product groupsEx = number of samples above MRL; % = percentage of samples below MRL

    Pesticide monitoring 2014 Belgium on November 25, 2015 at 12:20:57 PM 5Table A1-a: Exceedence of MRL, number of samples exceeding MRL and percentage of samples below the MRL

    Part (a) - Variables related to the origin of samples

    Strategy=Enforcement

    Product Class Product Text Total Ex % Domestic Ex % EEA Ex %Third

    Country Ex %

    BEANS (WITH PODS) 192 15 92.2 0 0 . 0 0 . 192 15 92.2

    BITTER MELON (MORMODICA CHARANTIA) 25 2 92 0 0 . 0 0 . 25 2 92

    BROCCOLI 1 0 100 0 0 . 0 0 . 1 0 100

    CHERVIL 2 0 100 0 0 . 0 0 . 0 0 .

    CHILI PEPPERS 74 23 68.9 0 0 . 0 0 . 73 23 68.5

    CHINESE CELERY 1 1 0 0 0 . 0 0 . 1 1 0

    CORIANDER 23 16 30.4 0 0 . 0 0 . 23 16 30.4

    CURRY LEAVES 30 26 13.3 0 0 . 0 0 . 30 26 13.3

    ENDIVE 3 0 100 0 0 . 0 0 . 0 0 .

    MINT 94 6 93.6 0 0 . 0 0 . 94 6 93.6

    OKRA, LADYS FINGERS 11 2 81.8 0 0 . 0 0 . 11 2 81.8

    PARSLEY 2 0 100 0 0 . 0 0 . 0 0 .

    PEAS (WITH PODS) 77 10 87 0 0 . 0 0 . 77 10 87

    PEPPERS 12 0 100 0 0 . 0 0 . 12 0 100

    TOMATOES 4 0 100 0 0 . 0 0 . 4 0 100

    TURNIPS 8 5 37.5 1 1 0 0 0 . 0 0 .

    VINE LEAVES (GRAPE LEAVES) 2 1 50 0 0 . 0 0 . 2 1 50

    Vegetables 618 113 81.7 1 1 0 0 0 . 602 108 82.1

    804 166 79.4 5 1 80 1 0 100 778 161 79.3

  • Figures in bold are subtotals and totals for product groupsEx = number of samples above MRL; % = percentage of samples below MRL

    Figures in bold are subtotals and totals for product groupsEx = number of samples above MRL; % = percentage of samples below MRL

    Pesticide monitoring 2014 Belgium on November 25, 2015 at 12:20:57 PM 6Table A1-a: Exceedence of MRL, number of samples exceeding MRL and percentage of samples below the MRL

    Part (a) - Variables related to the origin of samples

    Strategy=Surveillance

    Product Class Product Text Total Ex % Domestic Ex % EEA Ex %Third

    Country Ex %

    Animalproducts

    BOVINE FAT 35 0 100 32 0 100 3 0 100 0 0 .

    BOVINE LIVER 45 0 100 41 0 100 4 0 100 0 0 .

    BOVINE MUSCLE 25 0 100 1 0 100 0 0 . 24 0 100

    DAIRY PRODUCTS CATTLE (BUTTER) 20 0 100 0 0 . 0 0 . 0 0 .

    DAIRY PRODUCTS CATTLE (CHEESE) 29 0 100 0 0 . 0 0 . 0 0 .

    DAIRY PRODUCTS CATTLE (MILK) 89 0 100 49 0 100 0 0 . 0 0 .

    DAIRY PRODUCTS CATTLE (POWDER) 20 0 100 0 0 . 0 0 . 0 0 .

    DAIRY PRODUCTS GOAT (MILK) 1 0 100 1 0 100 0 0 . 0 0 .

    DAIRY PRODUCTS HORSE (MILK) 13 0 100 13 0 100 0 0 . 0 0 .

    DAIRY PRODUCTS SHEEP (MILK) 2 0 100 2 0 100 0 0 . 0 0 .

    EGGS CHICKEN 34 0 100 14 0 100 0 0 . 0 0 .

    EQUINE MUSCLE 1 0 100 0 0 . 0 0 . 1 0 100

    HONEY 72 0 100 27 0 100 6 0 100 35 0 100

    HORSES, ASSES, MULES OR HINNIES FAT 3 0 100 3 0 100 0 0 . 0 0 .

    HORSES, ASSES, MULES OR HINNIES LIVER 4 0 100 3 0 100 1 0 100 0 0 .

    OTHER FARM ANIMALS FAT 4 0 100 1 0 100 1 0 100 1 0 100

    OTHER FARM ANIMALS MUSCLE 3 0 100 0 0 . 0 0 . 3 0 100

    POULTRY MUSCLE 18 0 100 11 0 100 4 0 100 3 0 100

    POULTRY — CHICKEN, GEESE, DUCK, TURKEY AND GUINEA FOWL — OSTRICH, PIGEONFAT

    51 0 100 38 0 100 13 0 100 0 0 .

    POULTRY — CHICKEN, GEESE, DUCK, TURKEY AND GUINEA FOWL — OSTRICH, PIGEONLIVER

    6 0 100 6 0 100 0 0 . 0 0 .

    SHEEP FAT 4 0 100 4 0 100 0 0 . 0 0 .

    SHEEP LIVER 6 0 100 2 0 100 4 0 100 0 0 .

    SHEEP MUSCLE 2 0 100 0 0 . 0 0 . 2 0 100

    SWINE FAT 75 0 100 74 0 100 0 0 . 1 0 100

    SWINE LIVER 107 0 100 105 0 100 0 0 . 0 0 .

  • Figures in bold are subtotals and totals for product groupsEx = number of samples above MRL; % = percentage of samples below MRL

    Pesticide monitoring 2014 Belgium on November 25, 2015 at 12:20:57 PM 7Table A1-a: Exceedence of MRL, number of samples exceeding MRL and percentage of samples below the MRL

    Part (a) - Variables related to the origin of samples

    Strategy=Surveillance

    Product Class Product Text Total Ex % Domestic Ex % EEA Ex %Third

    Country Ex %

    SWINE MUSCLE 1 0 100 0 0 . 0 0 . 0 0 .

    Animalproducts

    670 0 100 427 0 100 36 0 100 70 0 100

    Baby food BABY FOOD FOR INFANTS AND YOUNG CHILDERN 8 2 75 0 0 . 0 0 . 0 0 .

    BABYFOOD WITH FRUITS 16 0 100 1 0 100 7 0 100 0 0 .

    BABYFOOD WITH VEGETABLE 18 2 88.9 4 0 100 9 1 88.9 0 0 .

    FOLLOW-ON FORMULAE 12 0 100 10 0 100 2 0 100 0 0 .

    INFANT FORMULAE 8 0 100 5 0 100 2 0 100 1 0 100

    PROCESSED CEREAL-BASED BABY FOODS (E.G. CEREAL AND PASTAS TO BERECONSTITUTED WITH MILK OR OTHER LIQUIDS)

    30 1 96.7 21 0 100 6 1 83.3 1 0 100

    Baby food 92 5 94.6 41 0 100 26 2 92.3 2 0 100

    Cereals BARLEY 5 0 100 1 0 100 4 0 100 0 0 .

    CEREALS (FLOUR) 20 0 100 8 0 100 5 0 100 0 0 .

    CEREALS (MALT) 5 0 100 3 0 100 2 0 100 0 0 .

    RICE 35 0 100 2 0 100 7 0 100 20 0 100

    RYE 4 0 100 1 0 100 3 0 100 0 0 .

    SPELT 4 0 100 3 0 100 1 0 100 0 0 .

    WHEAT 32 3 90.6 15 2 86.7 12 0 100 3 1 66.7

    Cereals 105 3 97.1 33 2 93.9 34 0 100 23 1 95.7

    Fruits and nuts APPLES 35 0 100 24 0 100 3 0 100 8 0 100

    APRICOTS 9 0 100 0 0 . 9 0 100 0 0 .

    AVOCADOS 5 0 100 0 0 . 0 0 . 5 0 100

    BANANAS 20 0 100 0 0 . 0 0 . 20 0 100

    BLUEBERRIES 4 0 100 1 0 100 1 0 100 2 0 100

    CHERIMOYA 3 0 100 0 0 . 0 0 . 3 0 100

    CHERRIES 21 1 95.2 12 1 91.7 4 0 100 5 0 100

    CURRANTS (RED, BLACK AND WHITE) 21 2 90.5 13 1 92.3 8 1 87.5 0 0 .

  • Figures in bold are subtotals and totals for product groupsEx = number of samples above MRL; % = percentage of samples below MRL

    Pesticide monitoring 2014 Belgium on November 25, 2015 at 12:20:57 PM 8Table A1-a: Exceedence of MRL, number of samples exceeding MRL and percentage of samples below the MRL

    Part (a) - Variables related to the origin of samples

    Strategy=Surveillance

    Product Class Product Text Total Ex % Domestic Ex % EEA Ex %Third

    Country Ex %

    FIGS 1 0 100 0 0 . 0 0 . 1 0 100

    GRAPEFRUIT 15 0 100 0 0 . 2 0 100 12 0 100

    GRAPES (DRIED) 5 0 100 0 0 . 0 0 . 3 0 100

    GRAPES JUICE 9 0 100 0 0 . 5 0 100 2 0 100

    GUAVA 2 1 50 0 0 . 0 0 . 2 1 50

    KIWI 20 0 100 0 0 . 5 0 100 15 0 100

    LEMONS 6 0 100 0 0 . 2 0 100 4 0 100

    LIMES 3 0 100 0 0 . 0 0 . 3 0 100

    LYCHEE (LITCHI) 5 0 100 0 0 . 0 0 . 5 0 100

    MANDARINS 15 1 93.3 0 0 . 14 1 92.9 1 0 100

    MANGOES 10 0 100 0 0 . 0 0 . 10 0 100

    NECTARINES 1 0 100 0 0 . 0 0 . 1 0 100

    ORANGES 42 1 97.6 0 0 . 18 0 100 24 1 95.8

    ORANGES JUICE 10 0 100 5 0 100 4 0 100 1 0 100

    PAPAYA 1 0 100 0 0 . 0 0 . 1 0 100

    PASSION FRUIT 13 4 69.2 0 0 . 0 0 . 13 4 69.2

    PEACHES 43 0 100 0 0 . 43 0 100 0 0 .

    PEARS 21 0 100 18 0 100 2 0 100 1 0 100

    PERSIMMON 1 0 100 0 0 . 0 0 . 1 0 100

    PINEAPPLES 35 3 91.4 0 0 . 0 0 . 35 3 91.4

    PITAYA 6 4 33.3 0 0 . 0 0 . 6 4 33.3

    PLUMS 11 0 100 1 0 100 7 0 100 3 0 100

    RASPBERRIES 19 0 100 13 0 100 4 0 100 0 0 .

    ROSE WINE 5 0 100 0 0 . 5 0 100 0 0 .

    STRAWBERRIES 128 6 95.3 101 4 96 19 0 100 8 2 75

    TABLE GRAPES 95 2 97.9 1 0 100 45 0 100 49 2 95.9

    WHITE WINE 5 0 100 0 0 . 3 0 100 2 0 100

  • Figures in bold are subtotals and totals for product groupsEx = number of samples above MRL; % = percentage of samples below MRL

    Pesticide monitoring 2014 Belgium on November 25, 2015 at 12:20:57 PM 9Table A1-a: Exceedence of MRL, number of samples exceeding MRL and percentage of samples below the MRL

    Part (a) - Variables related to the origin of samples

    Strategy=Surveillance

    Product Class Product Text Total Ex % Domestic Ex % EEA Ex %Third

    Country Ex %

    Fruits and nuts 645 25 96.1 189 6 96.8 203 2 99 246 17 93.1

    Other plant products COCOA 10 1 90 0 0 . 1 0 100 9 1 88.9

    COFFEE 5 0 100 1 0 100 0 0 . 2 0 100

    CORIANDER SEED 2 1 50 1 0 100 1 1 0 0 0 .

    CUMIN SEED 1 1 0 0 0 . 1 1 0 0 0 .

    GINGER 1 0 100 0 0 . 0 0 . 1 0 100

    HERBAL INFUSIONS, DRIED 38 7 81.6 9 0 100 18 5 72.2 5 2 60

    LENTILS (DRY) 10 0 100 0 0 . 6 0 100 3 0 100

    LINSEED 2 0 100 0 0 . 0 0 . 2 0 100

    OLIVES (OIL) 5 0 100 0 0 . 3 0 100 0 0 .

    PEANUTS (OIL) 5 0 100 0 0 . 0 0 . 0 0 .

    PEAS (DRY) 5 0 100 0 0 . 1 0 100 1 0 100

    PEPPER, BLACK AND WHITE 4 1 75 0 0 . 2 0 100 2 1 50

    RAPE SEED 2 0 100 0 0 . 0 0 . 2 0 100

    SOYA BEAN 3 0 100 0 0 . 1 0 100 2 0 100

    SPICES 3 0 100 1 0 100 1 0 100 1 0 100

    SUNFLOWER (OIL) 5 0 100 4 0 100 0 0 . 0 0 .

    TEA 45 16 64.4 3 0 100 13 6 53.8 24 8 66.7

    TURMERIC (CURCUMA) 1 0 100 1 0 100 0 0 . 0 0 .

    Other plant products 147 27 81.6 20 0 100 48 13 72.9 54 12 77.8

    Other products BARLEY (FEED) 9 0 100 6 0 100 2 0 100 0 0 .

    CROPS EXCLUSIVELY USED FOR ANIMAL FEED 36 0 100 18 0 100 4 0 100 14 0 100

    LINSEED (FEED) 3 0 100 1 0 100 0 0 . 2 0 100

    MAIZE (FEED) 11 2 81.8 1 0 100 1 0 100 9 2 77.8

    MILLET (FEED) 1 0 100 0 0 . 0 0 . 1 0 100

    OATS (FEED) 1 0 100 1 0 100 0 0 . 0 0 .

    RAPE SEED (FEED) 1 0 100 1 0 100 0 0 . 0 0 .

  • Figures in bold are subtotals and totals for product groupsEx = number of samples above MRL; % = percentage of samples below MRL

    Pesticide monitoring 2014 Belgium on November 25, 2015 at 12:20:57 PM 10Table A1-a: Exceedence of MRL, number of samples exceeding MRL and percentage of samples below the MRL

    Part (a) - Variables related to the origin of samples

    Strategy=Surveillance

    Product Class Product Text Total Ex % Domestic Ex % EEA Ex %Third

    Country Ex %

    SORGHUM (FEED) 3 1 66.7 0 0 . 0 0 . 3 1 66.7

    SOYA BEAN (FEED) 1 0 100 0 0 . 0 0 . 0 0 .

    SPELT (FEED) 1 0 100 1 0 100 0 0 . 0 0 .

    WHEAT (FEED) 19 1 94.7 12 1 91.7 5 0 100 1 0 100

    Other products 86 4 95.3 41 1 97.6 12 0 100 30 3 90

    Vegetables ASPARAGUS 10 0 100 4 0 100 2 0 100 4 0 100

    AUBERGINES (EGG PLANTS) 30 2 93.3 7 0 100 8 0 100 15 2 86.7

    BASIL 16 0 100 3 0 100 2 0 100 11 0 100

    BEANS 4 0 100 1 0 100 0 0 . 1 0 100

    BEANS (WITH PODS) 59 1 98.3 24 0 100 9 1 88.9 20 0 100

    BEANS (WITHOUT PODS) 4 0 100 0 0 . 1 0 100 0 0 .

    BROCCOLI 41 0 100 13 0 100 24 0 100 0 0 .

    BRUSSELS SPROUTS 5 0 100 5 0 100 0 0 . 0 0 .

    CARROTS 44 1 97.7 35 0 100 7 1 85.7 0 0 .

    CAULIFLOWER 37 1 97.3 23 1 95.7 12 0 100 0 0 .

    CELERIAC 15 2 86.7 15 2 86.7 0 0 . 0 0 .

    CELERY 52 6 88.5 36 6 83.3 16 0 100 0 0 .

    CELERY LEAVES 2 0 100 0 0 . 2 0 100 0 0 .

    CHERVIL 5 0 100 4 0 100 0 0 . 0 0 .

    CHILI PEPPERS 16 3 81.3 1 0 100 3 0 100 11 2 81.8

    CHINESE CABBAGE 15 0 100 7 0 100 8 0 100 0 0 .

    CHIVES 1 0 100 0 0 . 0 0 . 1 0 100

    CORIANDER 4 2 50 0 0 . 0 0 . 4 2 50

    COURGETTES 37 3 91.9 31 3 90.3 6 0 100 0 0 .

    CUCUMBERS 30 1 96.7 14 1 92.9 16 0 100 0 0 .

    CULTIVATED FUNGI 16 1 93.8 13 1 92.3 3 0 100 0 0 .

    CURRY 1 0 100 1 0 100 0 0 . 0 0 .

  • Figures in bold are subtotals and totals for product groupsEx = number of samples above MRL; % = percentage of samples below MRL

    Pesticide monitoring 2014 Belgium on November 25, 2015 at 12:20:57 PM 11Table A1-a: Exceedence of MRL, number of samples exceeding MRL and percentage of samples below the MRL

    Part (a) - Variables related to the origin of samples

    Strategy=Surveillance

    ProductClass Product Text Total Ex % Domestic Ex % EEA Ex %

    ThirdCountry Ex %

    CURRY LEAVES 2 2 0 0 0 . 0 0 . 2 2 0

    ENDIVE 2 0 100 2 0 100 0 0 . 0 0 .

    FENNEL 26 4 84.6 19 3 84.2 7 1 85.7 0 0 .

    FIRST POTATOES 2 0 100 0 0 . 1 0 100 1 0 100

    FUNGI 1 0 100 1 0 100 0 0 . 0 0 .

    GARLIC 35 0 100 0 0 . 26 0 100 8 0 100

    HEAD CABBAGE 25 0 100 25 0 100 0 0 . 0 0 .

    ICEBERG 5 0 100 1 0 100 4 0 100 0 0 .

    KOHLRABI 3 0 100 1 0 100 2 0 100 0 0 .

    LAMB'S LETTUCE 35 1 97.1 28 1 96.4 7 0 100 0 0 .

    LEEK 40 0 100 39 0 100 0 0 . 0 0 .

    LETTUCE 101 2 98 91 0 100 10 2 80 0 0 .

    MELONS 35 0 100 0 0 . 20 0 100 15 0 100

    MINT 2 0 100 0 0 . 0 0 . 2 0 100

    OKRA, LADYS FINGERS 5 1 80 0 0 . 0 0 . 5 1 80

    ONIONS 58 0 100 18 0 100 28 0 100 9 0 100

    PARSLEY 35 6 82.9 23 5 78.3 6 0 100 1 1 0

    PEAS (WITH PODS) 10 0 100 5 0 100 2 0 100 3 0 100

    PEAS (WITHOUT PODS) 33 1 97 11 0 100 6 0 100 6 0 100

    PEPPERS 41 1 97.6 18 1 94.4 17 0 100 3 0 100

    ROCKET, RUCOLA 15 1 93.3 7 0 100 8 1 87.5 0 0 .

    SALSIFY 2 0 100 2 0 100 0 0 . 0 0 .

    SCAROLE (BROAD-LEAF ENDIVE) 25 1 96 23 1 95.7 2 0 100 0 0 .

    SHALLOTS 10 0 100 1 0 100 9 0 100 0 0 .

    SPINACH 49 2 95.9 31 1 96.8 6 0 100 0 0 .

    SPRING ONIONS 15 0 100 3 0 100 10 0 100 2 0 100

    SWEET CORN 5 0 100 3 0 100 2 0 100 0 0 .

  • Figures in bold are subtotals and totals for product groupsEx = number of samples above MRL; % = percentage of samples below MRL

    Pesticide monitoring 2014 Belgium on November 25, 2015 at 12:20:57 PM 12Table A1-a: Exceedence of MRL, number of samples exceeding MRL and percentage of samples below the MRL

    Part (a) - Variables related to the origin of samples

    Strategy=Surveillance

    ProductClass Product Text Total Ex % Domestic Ex % EEA Ex %

    ThirdCountry Ex %

    TARRAGON 3 0 100 0 0 . 0 0 . 3 0 100

    THYME 1 0 100 0 0 . 0 0 . 1 0 100

    TOMATOES 95 1 98.9 60 0 100 26 1 96.2 7 0 100

    TURNIPS 10 4 60 8 3 62.5 2 1 50 0 0 .

    VEGETABLES FRESH OR FROZEN 30 1 96.7 24 1 95.8 1 0 100 0 0 .

    WARE POTATOES 46 0 100 29 0 100 12 0 100 5 0 100

    WILD FUNGI 5 0 100 1 0 100 3 0 100 1 0 100

    WITLOOF 23 0 100 21 0 100 2 0 100 0 0 .

    Vegetables 1274 51 96 732 30 95.9 338 8 97.6 141 10 92.9

    3019 115 96.2 1483 39 97.4 697 25 96.4 566 43 92.4

  • Figures in bold are subtotals and totals for product groupsEx = number of samples above MRL; % = percentage of samples below MRL

    Pesticide monitoring 2014 Belgium on November 25, 2015 at 12:20:57 PM 13Table A1-b: Exceedence of MRL, number of samples exceeding MRL and percentage of samples below the MRL

    part (b) - Variables related to the production method and the processing of samples

    Figures in bold are subtotals and totals for product groupsEx = number of samples above MRL; % = percentage of samples below MRL

    Pesticide monitoring 2014 Belgium on November 25, 2015 at 12:20:57 PM 13Table A1-b: Exceedence of MRL, number of samples exceeding MRL and percentage of samples below the MRL

    part (b) - Variables related to the production method and the processing of samples

    Strategy=Enforcement

    Product Class Product Text Organic Ex %Non

    Organic Ex % Raw Ex % Process Ex %

    Animal products DAIRY PRODUCTS CATTLE (MILK) 0 0 . 1 0 100 1 0 100 0 0 .

    SWINE MUSCLE 0 0 . 1 0 100 1 0 100 0 0 .

    Animal products 0 0 . 2 0 100 2 0 100 0 0 .

    Cereals BARLEY 0 0 . 1 0 100 1 0 100 0 0 .

    Cereals 0 0 . 1 0 100 1 0 100 0 0 .

    Fruits and nuts APPLES 0 0 . 2 0 100 2 0 100 0 0 .

    GUAVA 0 0 . 10 6 40 10 6 40 0 0 .

    MANDARINS 0 0 . 1 0 100 1 0 100 0 0 .

    ORANGES 0 0 . 13 2 84.6 13 2 84.6 0 0 .

    PASSION FRUIT 0 0 . 11 6 45.5 11 6 45.5 0 0 .

    PEARS 0 0 . 1 0 100 1 0 100 0 0 .

    PINEAPPLES 0 0 . 5 1 80 5 1 80 0 0 .

    PITAYA 0 0 . 12 9 25 12 9 25 0 0 .

    POMELO 0 0 . 3 0 100 3 0 100 0 0 .

    STRAWBERRIES 0 0 . 72 0 100 72 0 100 0 0 .

    SWEET CRANBERRIES 0 0 . 1 0 100 1 0 100 0 0 .

    TABLE GRAPES 0 0 . 1 0 100 1 0 100 0 0 .

    Fruits and nuts 0 0 . 132 24 81.8 132 24 81.8 0 0 .

    Other plant products DRIED BEANS 0 0 . 1 1 0 1 1 0 0 0 .

    HOPS, DRIED, INCLUDING HOP PELLETS UNCONCENTRATED 0 0 . 1 0 100 1 0 100 0 0 .

    TEA 0 0 . 47 28 40.4 47 28 40.4 0 0 .

    Other plant products 0 0 . 49 29 40.8 49 29 40.8 0 0 .

    Other products CROPS EXCLUSIVELY USED FOR ANIMAL FEED 0 0 . 1 0 100 1 0 100 0 0 .

    WHEAT (FEED) 0 0 . 1 0 100 1 0 100 0 0 .

    Other products 0 0 . 2 0 100 2 0 100 0 0 .

    Vegetables AUBERGINES (EGG PLANTS) 0 0 . 46 6 87 46 6 87 0 0 .

    BASIL 0 0 . 11 0 100 11 0 100 0 0 .

  • Figures in bold are subtotals and totals for product groupsEx = number of samples above MRL; % = percentage of samples below MRL

    Pesticide monitoring 2014 Belgium on November 25, 2015 at 12:20:57 PM 14Table A1-b: Exceedence of MRL, number of samples exceeding MRL and percentage of samples below the MRL

    part (b) - Variables related to the production method and the processing of samples

    Strategy=Enforcement

    Product Class Product Text Organic Ex %Non

    Organic Ex % Raw Ex % Process Ex %

    BEANS (WITH PODS) 0 0 . 192 15 92.2 192 15 92.2 0 0 .

    BITTER MELON (MORMODICA CHARANTIA) 0 0 . 25 2 92 25 2 92 0 0 .

    BROCCOLI 0 0 . 1 0 100 1 0 100 0 0 .

    CHERVIL 0 0 . 2 0 100 2 0 100 0 0 .

    CHILI PEPPERS 0 0 . 74 23 68.9 74 23 68.9 0 0 .

    CHINESE CELERY 0 0 . 1 1 0 1 1 0 0 0 .

    CORIANDER 0 0 . 23 16 30.4 23 16 30.4 0 0 .

    CURRY LEAVES 0 0 . 30 26 13.3 30 26 13.3 0 0 .

    ENDIVE 0 0 . 3 0 100 3 0 100 0 0 .

    MINT 0 0 . 94 6 93.6 94 6 93.6 0 0 .

    OKRA, LADYS FINGERS 0 0 . 11 2 81.8 11 2 81.8 0 0 .

    PARSLEY 0 0 . 2 0 100 2 0 100 0 0 .

    PEAS (WITH PODS) 0 0 . 77 10 87 77 10 87 0 0 .

    PEPPERS 0 0 . 12 0 100 12 0 100 0 0 .

    TOMATOES 0 0 . 4 0 100 4 0 100 0 0 .

    TURNIPS 0 0 . 8 5 37.5 8 5 37.5 0 0 .

    VINE LEAVES (GRAPE LEAVES) 0 0 . 2 1 50 2 1 50 0 0 .

    Vegetables 0 0 . 618 113 81.7 618 113 81.7 0 0 .

    0 0 . 804 166 79.4 804 166 79.4 0 0 .

  • Figures in bold are subtotals and totals for product groupsEx = number of samples above MRL; % = percentage of samples below MRL

    Figures in bold are subtotals and totals for product groupsEx = number of samples above MRL; % = percentage of samples below MRL

    Pesticide monitoring 2014 Belgium on November 25, 2015 at 12:20:57 PM 15Table A1-b: Exceedence of MRL, number of samples exceeding MRL and percentage of samples below the MRL

    part (b) - Variables related to the production method and the processing of samples

    Strategy=Surveillance

    Product Class Product Text Organic Ex %Non

    Organic Ex % Raw Ex % Process Ex %

    Animalproducts

    BOVINE FAT 0 0 . 35 0 100 35 0 100 0 0 .

    BOVINE LIVER 1 0 100 44 0 100 45 0 100 0 0 .

    BOVINE MUSCLE 0 0 . 25 0 100 25 0 100 0 0 .

    DAIRY PRODUCTS CATTLE (BUTTER) 0 0 . 20 0 100 0 0 . 20 0 100

    DAIRY PRODUCTS CATTLE (CHEESE) 0 0 . 29 0 100 0 0 . 29 0 100

    DAIRY PRODUCTS CATTLE (MILK) 0 0 . 89 0 100 89 0 100 0 0 .

    DAIRY PRODUCTS CATTLE (POWDER) 0 0 . 20 0 100 0 0 . 20 0 100

    DAIRY PRODUCTS GOAT (MILK) 0 0 . 1 0 100 1 0 100 0 0 .

    DAIRY PRODUCTS HORSE (MILK) 0 0 . 13 0 100 13 0 100 0 0 .

    DAIRY PRODUCTS SHEEP (MILK) 0 0 . 2 0 100 2 0 100 0 0 .

    EGGS CHICKEN 1 0 100 33 0 100 34 0 100 0 0 .

    EQUINE MUSCLE 0 0 . 1 0 100 1 0 100 0 0 .

    HONEY 2 0 100 70 0 100 72 0 100 0 0 .

    HORSES, ASSES, MULES OR HINNIES FAT 0 0 . 3 0 100 3 0 100 0 0 .

    HORSES, ASSES, MULES OR HINNIES LIVER 0 0 . 4 0 100 4 0 100 0 0 .

    OTHER FARM ANIMALS FAT 0 0 . 4 0 100 4 0 100 0 0 .

    OTHER FARM ANIMALS MUSCLE 0 0 . 3 0 100 3 0 100 0 0 .

    POULTRY MUSCLE 1 0 100 17 0 100 18 0 100 0 0 .

    POULTRY — CHICKEN, GEESE, DUCK, TURKEY AND GUINEA FOWL — OSTRICH, PIGEONFAT

    0 0 . 51 0 100 51 0 100 0 0 .

    POULTRY — CHICKEN, GEESE, DUCK, TURKEY AND GUINEA FOWL — OSTRICH, PIGEONLIVER

    0 0 . 6 0 100 6 0 100 0 0 .

    SHEEP FAT 0 0 . 4 0 100 4 0 100 0 0 .

    SHEEP LIVER 0 0 . 6 0 100 6 0 100 0 0 .

    SHEEP MUSCLE 0 0 . 2 0 100 2 0 100 0 0 .

    SWINE FAT 0 0 . 75 0 100 75 0 100 0 0 .

    SWINE LIVER 0 0 . 107 0 100 107 0 100 0 0 .

  • Figures in bold are subtotals and totals for product groupsEx = number of samples above MRL; % = percentage of samples below MRL

    Pesticide monitoring 2014 Belgium on November 25, 2015 at 12:20:57 PM 16Table A1-b: Exceedence of MRL, number of samples exceeding MRL and percentage of samples below the MRL

    part (b) - Variables related to the production method and the processing of samples

    Strategy=Surveillance

    Product Class Product Text Organic Ex %Non

    Organic Ex % Raw Ex % Process Ex %

    SWINE MUSCLE 0 0 . 1 0 100 1 0 100 0 0 .

    Animalproducts

    5 0 100 665 0 100 601 0 100 69 0 100

    Baby food BABY FOOD FOR INFANTS AND YOUNG CHILDERN 0 0 . 8 2 75 0 0 . 8 2 75

    BABYFOOD WITH FRUITS 0 0 . 16 0 100 0 0 . 16 0 100

    BABYFOOD WITH VEGETABLE 0 0 . 18 2 88.9 0 0 . 18 2 88.9

    FOLLOW-ON FORMULAE 0 0 . 12 0 100 0 0 . 12 0 100

    INFANT FORMULAE 0 0 . 8 0 100 0 0 . 8 0 100

    PROCESSED CEREAL-BASED BABY FOODS (E.G. CEREAL AND PASTAS TO BERECONSTITUTED WITH MILK OR OTHER LIQUIDS)

    0 0 . 30 1 96.7 0 0 . 30 1 96.7

    Baby food 0 0 . 92 5 94.6 0 0 . 92 5 94.6

    Cereals BARLEY 0 0 . 5 0 100 5 0 100 0 0 .

    CEREALS (FLOUR) 0 0 . 20 0 100 0 0 . 20 0 100

    CEREALS (MALT) 0 0 . 5 0 100 0 0 . 5 0 100

    RICE 1 0 100 34 0 100 35 0 100 0 0 .

    RYE 0 0 . 4 0 100 4 0 100 0 0 .

    SPELT 0 0 . 4 0 100 4 0 100 0 0 .

    WHEAT 0 0 . 32 3 90.6 32 3 90.6 0 0 .

    Cereals 1 0 100 104 3 97.1 80 3 96.3 25 0 100

    Fruits and nuts APPLES 0 0 . 35 0 100 35 0 100 0 0 .

    APRICOTS 0 0 . 9 0 100 9 0 100 0 0 .

    AVOCADOS 0 0 . 5 0 100 5 0 100 0 0 .

    BANANAS 0 0 . 20 0 100 20 0 100 0 0 .

    BLUEBERRIES 0 0 . 4 0 100 4 0 100 0 0 .

    CHERIMOYA 0 0 . 3 0 100 3 0 100 0 0 .

    CHERRIES 0 0 . 21 1 95.2 21 1 95.2 0 0 .

    CURRANTS (RED, BLACK AND WHITE) 0 0 . 21 2 90.5 21 2 90.5 0 0 .

  • Figures in bold are subtotals and totals for product groupsEx = number of samples above MRL; % = percentage of samples below MRL

    Pesticide monitoring 2014 Belgium on November 25, 2015 at 12:20:57 PM 17Table A1-b: Exceedence of MRL, number of samples exceeding MRL and percentage of samples below the MRL

    part (b) - Variables related to the production method and the processing of samples

    Strategy=Surveillance

    Product Class Product Text Organic Ex %Non

    Organic Ex % Raw Ex % Process Ex %

    FIGS 0 0 . 1 0 100 1 0 100 0 0 .

    GRAPEFRUIT 0 0 . 15 0 100 15 0 100 0 0 .

    GRAPES (DRIED) 0 0 . 5 0 100 0 0 . 5 0 100

    GRAPES JUICE 0 0 . 9 0 100 0 0 . 9 0 100

    GUAVA 0 0 . 2 1 50 2 1 50 0 0 .

    KIWI 0 0 . 20 0 100 20 0 100 0 0 .

    LEMONS 0 0 . 6 0 100 6 0 100 0 0 .

    LIMES 0 0 . 3 0 100 3 0 100 0 0 .

    LYCHEE (LITCHI) 0 0 . 5 0 100 5 0 100 0 0 .

    MANDARINS 1 0 100 14 1 92.9 15 1 93.3 0 0 .

    MANGOES 0 0 . 10 0 100 10 0 100 0 0 .

    NECTARINES 0 0 . 1 0 100 1 0 100 0 0 .

    ORANGES 0 0 . 42 1 97.6 42 1 97.6 0 0 .

    ORANGES JUICE 0 0 . 10 0 100 0 0 . 10 0 100

    PAPAYA 0 0 . 1 0 100 1 0 100 0 0 .

    PASSION FRUIT 0 0 . 13 4 69.2 13 4 69.2 0 0 .

    PEACHES 0 0 . 43 0 100 43 0 100 0 0 .

    PEARS 1 0 100 20 0 100 21 0 100 0 0 .

    PERSIMMON 0 0 . 1 0 100 1 0 100 0 0 .

    PINEAPPLES 0 0 . 35 3 91.4 35 3 91.4 0 0 .

    PITAYA 0 0 . 6 4 33.3 6 4 33.3 0 0 .

    PLUMS 0 0 . 11 0 100 11 0 100 0 0 .

    RASPBERRIES 0 0 . 19 0 100 19 0 100 0 0 .

    ROSE WINE 0 0 . 5 0 100 0 0 . 5 0 100

    STRAWBERRIES 0 0 . 128 6 95.3 128 6 95.3 0 0 .

    TABLE GRAPES 0 0 . 95 2 97.9 95 2 97.9 0 0 .

    WHITE WINE 0 0 . 5 0 100 0 0 . 5 0 100

  • Figures in bold are subtotals and totals for product groupsEx = number of samples above MRL; % = percentage of samples below MRL

    Pesticide monitoring 2014 Belgium on November 25, 2015 at 12:20:57 PM 18Table A1-b: Exceedence of MRL, number of samples exceeding MRL and percentage of samples below the MRL

    part (b) - Variables related to the production method and the processing of samples

    Strategy=Surveillance

    Product Class Product Text Organic Ex %Non

    Organic Ex % Raw Ex % Process Ex %

    Fruits and nuts 2 0 100 643 25 96.1 611 25 95.9 34 0 100

    Other plant products COCOA 0 0 . 10 1 90 10 1 90 0 0 .

    COFFEE 0 0 . 5 0 100 5 0 100 0 0 .

    CORIANDER SEED 0 0 . 2 1 50 2 1 50 0 0 .

    CUMIN SEED 0 0 . 1 1 0 1 1 0 0 0 .

    GINGER 0 0 . 1 0 100 1 0 100 0 0 .

    HERBAL INFUSIONS, DRIED 0 0 . 38 7 81.6 38 7 81.6 0 0 .

    LENTILS (DRY) 0 0 . 10 0 100 10 0 100 0 0 .

    LINSEED 0 0 . 2 0 100 2 0 100 0 0 .

    OLIVES (OIL) 0 0 . 5 0 100 0 0 . 5 0 100

    PEANUTS (OIL) 0 0 . 5 0 100 0 0 . 5 0 100

    PEAS (DRY) 0 0 . 5 0 100 5 0 100 0 0 .

    PEPPER, BLACK AND WHITE 0 0 . 4 1 75 4 1 75 0 0 .

    RAPE SEED 0 0 . 2 0 100 2 0 100 0 0 .

    SOYA BEAN 0 0 . 3 0 100 3 0 100 0 0 .

    SPICES 0 0 . 3 0 100 3 0 100 0 0 .

    SUNFLOWER (OIL) 0 0 . 5 0 100 0 0 . 5 0 100

    TEA 0 0 . 45 16 64.4 45 16 64.4 0 0 .

    TURMERIC (CURCUMA) 0 0 . 1 0 100 1 0 100 0 0 .

    Other plant products 0 0 . 147 27 81.6 132 27 79.5 15 0 100

    Other products BARLEY (FEED) 0 0 . 9 0 100 9 0 100 0 0 .

    CROPS EXCLUSIVELY USED FOR ANIMAL FEED 1 0 100 35 0 100 30 0 100 6 0 100

    LINSEED (FEED) 0 0 . 3 0 100 3 0 100 0 0 .

    MAIZE (FEED) 0 0 . 11 2 81.8 11 2 81.8 0 0 .

    MILLET (FEED) 0 0 . 1 0 100 1 0 100 0 0 .

    OATS (FEED) 0 0 . 1 0 100 1 0 100 0 0 .

    RAPE SEED (FEED) 0 0 . 1 0 100 1 0 100 0 0 .

  • Figures in bold are subtotals and totals for product groupsEx = number of samples above MRL; % = percentage of samples below MRL

    Pesticide monitoring 2014 Belgium on November 25, 2015 at 12:20:57 PM 19Table A1-b: Exceedence of MRL, number of samples exceeding MRL and percentage of samples below the MRL

    part (b) - Variables related to the production method and the processing of samples

    Strategy=Surveillance

    Product Class Product Text Organic Ex %Non

    Organic Ex % Raw Ex % Process Ex %

    SORGHUM (FEED) 0 0 . 3 1 66.7 3 1 66.7 0 0 .

    SOYA BEAN (FEED) 0 0 . 1 0 100 1 0 100 0 0 .

    SPELT (FEED) 0 0 . 1 0 100 1 0 100 0 0 .

    WHEAT (FEED) 0 0 . 19 1 94.7 19 1 94.7 0 0 .

    Other products 1 0 100 85 4 95.3 80 4 95 6 0 100

    Vegetables ASPARAGUS 0 0 . 10 0 100 10 0 100 0 0 .

    AUBERGINES (EGG PLANTS) 0 0 . 30 2 93.3 30 2 93.3 0 0 .

    BASIL 3 0 100 13 0 100 16 0 100 0 0 .

    BEANS 0 0 . 4 0 100 4 0 100 0 0 .

    BEANS (WITH PODS) 2 0 100 57 1 98.2 54 1 98.1 5 0 100

    BEANS (WITHOUT PODS) 0 0 . 4 0 100 4 0 100 0 0 .

    BROCCOLI 0 0 . 41 0 100 41 0 100 0 0 .

    BRUSSELS SPROUTS 0 0 . 5 0 100 5 0 100 0 0 .

    CARROTS 2 0 100 42 1 97.6 39 1 97.4 5 0 100

    CAULIFLOWER 0 0 . 37 1 97.3 37 1 97.3 0 0 .

    CELERIAC 0 0 . 15 2 86.7 15 2 86.7 0 0 .

    CELERY 0 0 . 52 6 88.5 52 6 88.5 0 0 .

    CELERY LEAVES 0 0 . 2 0 100 2 0 100 0 0 .

    CHERVIL 0 0 . 5 0 100 5 0 100 0 0 .

    CHILI PEPPERS 0 0 . 16 3 81.3 16 3 81.3 0 0 .

    CHINESE CABBAGE 0 0 . 15 0 100 15 0 100 0 0 .

    CHIVES 0 0 . 1 0 100 1 0 100 0 0 .

    CORIANDER 0 0 . 4 2 50 4 2 50 0 0 .

    COURGETTES 0 0 . 37 3 91.9 37 3 91.9 0 0 .

    CUCUMBERS 1 0 100 29 1 96.6 30 1 96.7 0 0 .

    CULTIVATED FUNGI 0 0 . 16 1 93.8 16 1 93.8 0 0 .

    CURRY 0 0 . 1 0 100 0 0 . 1 0 100

  • Figures in bold are subtotals and totals for product groupsEx = number of samples above MRL; % = percentage of samples below MRL

    Pesticide monitoring 2014 Belgium on November 25, 2015 at 12:20:57 PM 20Table A1-b: Exceedence of MRL, number of samples exceeding MRL and percentage of samples below the MRL

    part (b) - Variables related to the production method and the processing of samples

    Strategy=Surveillance

    ProductClass Product Text Organic Ex %

    NonOrganic Ex % Raw Ex % Process Ex %

    CURRY LEAVES 0 0 . 2 2 0 2 2 0 0 0 .

    ENDIVE 0 0 . 2 0 100 2 0 100 0 0 .

    FENNEL 0 0 . 26 4 84.6 26 4 84.6 0 0 .

    FIRST POTATOES 0 0 . 2 0 100 2 0 100 0 0 .

    FUNGI 0 0 . 1 0 100 1 0 100 0 0 .

    GARLIC 0 0 . 35 0 100 35 0 100 0 0 .

    HEAD CABBAGE 0 0 . 25 0 100 25 0 100 0 0 .

    ICEBERG 0 0 . 5 0 100 5 0 100 0 0 .

    KOHLRABI 0 0 . 3 0 100 3 0 100 0 0 .

    LAMB'S LETTUCE 0 0 . 35 1 97.1 35 1 97.1 0 0 .

    LEEK 0 0 . 40 0 100 40 0 100 0 0 .

    LETTUCE 0 0 . 101 2 98 101 2 98 0 0 .

    MELONS 0 0 . 35 0 100 35 0 100 0 0 .

    MINT 0 0 . 2 0 100 2 0 100 0 0 .

    OKRA, LADYS FINGERS 0 0 . 5 1 80 5 1 80 0 0 .

    ONIONS 0 0 . 58 0 100 58 0 100 0 0 .

    PARSLEY 0 0 . 35 6 82.9 35 6 82.9 0 0 .

    PEAS (WITH PODS) 0 0 . 10 0 100 10 0 100 0 0 .

    PEAS (WITHOUT PODS) 0 0 . 33 1 97 23 1 95.7 10 0 100

    PEPPERS 0 0 . 41 1 97.6 39 1 97.4 2 0 100

    ROCKET, RUCOLA 0 0 . 15 1 93.3 15 1 93.3 0 0 .

    SALSIFY 0 0 . 2 0 100 2 0 100 0 0 .

    SCAROLE (BROAD-LEAF ENDIVE) 0 0 . 25 1 96 25 1 96 0 0 .

    SHALLOTS 0 0 . 10 0 100 10 0 100 0 0 .

    SPINACH 0 0 . 49 2 95.9 49 2 95.9 0 0 .

    SPRING ONIONS 0 0 . 15 0 100 15 0 100 0 0 .

    SWEET CORN 0 0 . 5 0 100 0 0 . 5 0 100

  • Figures in bold are subtotals and totals for product groupsEx = number of samples above MRL; % = percentage of samples below MRL

    Pesticide monitoring 2014 Belgium on November 25, 2015 at 12:20:57 PM 21Table A1-b: Exceedence of MRL, number of samples exceeding MRL and percentage of samples below the MRL

    part (b) - Variables related to the production method and the processing of samples

    Strategy=Surveillance

    ProductClass Product Text Organic Ex %

    NonOrganic Ex % Raw Ex % Process Ex %

    TARRAGON 0 0 . 3 0 100 3 0 100 0 0 .

    THYME 0 0 . 1 0 100 1 0 100 0 0 .

    TOMATOES 0 0 . 95 1 98.9 80 1 98.8 15 0 100

    TURNIPS 0 0 . 10 4 60 10 4 60 0 0 .

    VEGETABLES FRESH OR FROZEN 0 0 . 30 1 96.7 0 0 . 30 1 96.7

    WARE POTATOES 2 0 100 44 0 100 46 0 100 0 0 .

    WILD FUNGI 0 0 . 5 0 100 0 0 . 5 0 100

    WITLOOF 0 0 . 23 0 100 23 0 100 0 0 .

    Vegetables 10 0 100 1264 51 96 1196 50 95.8 78 1 98.7

    19 0 100 3000 115 96.2 2700 109 96 319 6 98.1

  • Figures in bold are subtotals and totals for product groupsND = number of samples with residues above the reporting level (LOQ) % = percentage samples below reporting level (LOQ)

    Pesticide monitoring 2014 Belgium on November 25, 2015 at 12:20:57 PM 22Table A2-a: Samples above reporting level, number of samples above reporting level and percentage of samples below the reporting level

    Part (a) - Variables related to the origin of samples

    Figures in bold are subtotals and totals for product groupsND = number of samples with residues above the reporting level (LOQ) % = percentage samples below reporting level (LOQ)

    Pesticide monitoring 2014 Belgium on November 25, 2015 at 12:20:57 PM 22Table A2-a: Samples above reporting level, number of samples above reporting level and percentage of samples below the reporting level

    Part (a) - Variables related to the origin of samples

    Strategy=Enforcement

    Product Class Product Text Total ND % Domestic ND % EEA ND %Third

    Country ND %

    Animal products DAIRY PRODUCTS CATTLE (MILK) 1 0 100 1 0 100 0 0 . 0 0 .

    SWINE MUSCLE 1 1 0 1 1 0 0 0 . 0 0 .

    Animal products 2 1 50 2 1 50 0 0 . 0 0 .

    Cereals BARLEY 1 1 0 1 1 0 0 0 . 0 0 .

    Cereals 1 1 0 1 1 0 0 0 . 0 0 .

    Fruits and nuts APPLES 2 1 50 0 0 . 0 0 . 0 0 .

    GUAVA 10 10 0 0 0 . 0 0 . 9 9 0

    MANDARINS 1 1 0 0 0 . 0 0 . 1 1 0

    ORANGES 13 13 0 0 0 . 0 0 . 13 13 0

    PASSION FRUIT 11 11 0 0 0 . 0 0 . 11 11 0

    PEARS 1 0 100 0 0 . 0 0 . 0 0 .

    PINEAPPLES 5 5 0 0 0 . 0 0 . 5 5 0

    PITAYA 12 12 0 0 0 . 0 0 . 12 12 0

    POMELO 3 3 0 0 0 . 0 0 . 3 3 0

    STRAWBERRIES 72 34 52.8 0 0 . 0 0 . 72 34 52.8

    SWEET CRANBERRIES 1 0 100 0 0 . 0 0 . 1 0 100

    TABLE GRAPES 1 1 0 0 0 . 0 0 . 0 0 .

    Fruits and nuts 132 91 31.1 0 0 . 0 0 . 127 88 30.7

    Other plant products DRIED BEANS 1 1 0 0 0 . 0 0 . 1 1 0

    HOPS, DRIED, INCLUDING HOP PELLETS UNCONCENTRATED 1 1 0 0 0 . 0 0 . 1 1 0

    TEA 47 39 17 0 0 . 0 0 . 47 39 17

    Other plant products 49 41 16.3 0 0 . 0 0 . 49 41 16.3

    Other products CROPS EXCLUSIVELY USED FOR ANIMAL FEED 1 1 0 1 1 0 0 0 . 0 0 .

    WHEAT (FEED) 1 1 0 0 0 . 1 1 0 0 0 .

    Other products 2 2 0 1 1 0 1 1 0 0 0 .

    Vegetables AUBERGINES (EGG PLANTS) 46 30 34.8 0 0 . 0 0 . 46 30 34.8

    BASIL 11 11 0 0 0 . 0 0 . 11 11 0

  • Figures in bold are subtotals and totals for product groupsND = number of samples with residues above the reporting level (LOQ) % = percentage samples below reporting level (LOQ)

    Pesticide monitoring 2014 Belgium on November 25, 2015 at 12:20:57 PM 23Table A2-a: Samples above reporting level, number of samples above reporting level and percentage of samples below the reporting level

    Part (a) - Variables related to the origin of samples

    Strategy=Enforcement

    Product Class Product Text Total ND % Domestic ND % EEA ND %Third

    Country ND %

    BEANS (WITH PODS) 192 125 34.9 0 0 . 0 0 . 192 125 34.9

    BITTER MELON (MORMODICA CHARANTIA) 25 20 20 0 0 . 0 0 . 25 20 20

    BROCCOLI 1 1 0 0 0 . 0 0 . 1 1 0

    CHERVIL 2 2 0 0 0 . 0 0 . 0 0 .

    CHILI PEPPERS 74 67 9.5 0 0 . 0 0 . 73 66 9.6

    CHINESE CELERY 1 1 0 0 0 . 0 0 . 1 1 0

    CORIANDER 23 19 17.4 0 0 . 0 0 . 23 19 17.4

    CURRY LEAVES 30 30 0 0 0 . 0 0 . 30 30 0

    ENDIVE 3 2 33.3 0 0 . 0 0 . 0 0 .

    MINT 94 66 29.8 0 0 . 0 0 . 94 66 29.8

    OKRA, LADYS FINGERS 11 3 72.7 0 0 . 0 0 . 11 3 72.7

    PARSLEY 2 1 50 0 0 . 0 0 . 0 0 .

    PEAS (WITH PODS) 77 60 22.1 0 0 . 0 0 . 77 60 22.1

    PEPPERS 12 0 100 0 0 . 0 0 . 12 0 100

    TOMATOES 4 0 100 0 0 . 0 0 . 4 0 100

    TURNIPS 8 7 12.5 1 1 0 0 0 . 0 0 .

    VINE LEAVES (GRAPE LEAVES) 2 1 50 0 0 . 0 0 . 2 1 50

    Vegetables 618 446 27.8 1 1 0 0 0 . 602 433 28.1

    804 582 27.6 5 4 20 1 1 0 778 562 27.8

  • Figures in bold are subtotals and totals for product groupsND = number of samples with residues above the reporting level (LOQ) % = percentage samples below reporting level (LOQ)

    Figures in bold are subtotals and totals for product groupsND = number of samples with residues above the reporting level (LOQ) % = percentage samples below reporting level (LOQ)

    Pesticide monitoring 2014 Belgium on November 25, 2015 at 12:20:57 PM 24Table A2-a: Samples above reporting level, number of samples above reporting level and percentage of samples below the reporting level

    Part (a) - Variables related to the origin of samples

    Strategy=Surveillance

    Product Class Product Text Total ND % Domestic ND % EEA ND %Third

    Country ND %

    Animalproducts

    BOVINE FAT 35 13 62.9 32 10 68.8 3 3 0 0 0 .

    BOVINE LIVER 45 0 100 41 0 100 4 0 100 0 0 .

    BOVINE MUSCLE 25 9 64 1 0 100 0 0 . 24 9 62.5

    DAIRY PRODUCTS CATTLE (BUTTER) 20 2 90 0 0 . 0 0 . 0 0 .

    DAIRY PRODUCTS CATTLE (CHEESE) 29 3 89.7 0 0 . 0 0 . 0 0 .

    DAIRY PRODUCTS CATTLE (MILK) 89 7 92.1 49 5 89.8 0 0 . 0 0 .

    DAIRY PRODUCTS CATTLE (POWDER) 20 1 95 0 0 . 0 0 . 0 0 .

    DAIRY PRODUCTS GOAT (MILK) 1 0 100 1 0 100 0 0 . 0 0 .

    DAIRY PRODUCTS HORSE (MILK) 13 2 84.6 13 2 84.6 0 0 . 0 0 .

    DAIRY PRODUCTS SHEEP (MILK) 2 0 100 2 0 100 0 0 . 0 0 .

    EGGS CHICKEN 34 9 73.5 14 3 78.6 0 0 . 0 0 .

    EQUINE MUSCLE 1 0 100 0 0 . 0 0 . 1 0 100

    HONEY 72 15 79.2 27 6 77.8 6 0 100 35 9 74.3

    HORSES, ASSES, MULES OR HINNIES FAT 3 2 33.3 3 2 33.3 0 0 . 0 0 .

    HORSES, ASSES, MULES OR HINNIES LIVER 4 0 100 3 0 100 1 0 100 0 0 .

    OTHER FARM ANIMALS FAT 4 0 100 1 0 100 1 0 100 1 0 100

    OTHER FARM ANIMALS MUSCLE 3 0 100 0 0 . 0 0 . 3 0 100

    POULTRY MUSCLE 18 1 94.4 11 0 100 4 0 100 3 1 66.7

    POULTRY — CHICKEN, GEESE, DUCK, TURKEY AND GUINEA FOWL — OSTRICH, PIGEONFAT

    51 19 62.7 38 11 71.1 13 8 38.5 0 0 .

    POULTRY — CHICKEN, GEESE, DUCK, TURKEY AND GUINEA FOWL — OSTRICH, PIGEONLIVER

    6 0 100 6 0 100 0 0 . 0 0 .

    SHEEP FAT 4 3 25 4 3 25 0 0 . 0 0 .

    SHEEP LIVER 6 0 100 2 0 100 4 0 100 0 0 .

    SHEEP MUSCLE 2 1 50 0 0 . 0 0 . 2 1 50

    SWINE FAT 75 19 74.7 74 18 75.7 0 0 . 1 1 0

    SWINE LIVER 107 0 100 105 0 100 0 0 . 0 0 .

  • Figures in bold are subtotals and totals for product groupsND = number of samples with residues above the reporting level (LOQ) % = percentage samples below reporting level (LOQ)

    Pesticide monitoring 2014 Belgium on November 25, 2015 at 12:20:57 PM 25Table A2-a: Samples above reporting level, number of samples above reporting level and percentage of samples below the reporting level

    Part (a) - Variables related to the origin of samples

    Strategy=Surveillance

    Product Class Product Text Total ND % Domestic ND % EEA ND %Third

    Country ND %

    SWINE MUSCLE 1 0 100 0 0 . 0 0 . 0 0 .

    Animalproducts

    670 106 84.2 427 60 85.9 36 11 69.4 70 21 70

    Baby food BABY FOOD FOR INFANTS AND YOUNG CHILDERN 8 2 75 0 0 . 0 0 . 0 0 .

    BABYFOOD WITH FRUITS 16 0 100 1 0 100 7 0 100 0 0 .

    BABYFOOD WITH VEGETABLE 18 2 88.9 4 0 100 9 1 88.9 0 0 .

    FOLLOW-ON FORMULAE 12 1 91.7 10 1 90 2 0 100 0 0 .

    INFANT FORMULAE 8 1 87.5 5 1 80 2 0 100 1 0 100

    PROCESSED CEREAL-BASED BABY FOODS (E.G. CEREAL AND PASTAS TO BERECONSTITUTED WITH MILK OR OTHER LIQUIDS)

    30 2 93.3 21 0 100 6 2 66.7 1 0 100

    Baby food 92 8 91.3 41 2 95.1 26 3 88.5 2 0 100

    Cereals BARLEY 5 4 20 1 1 0 4 3 25 0 0 .

    CEREALS (FLOUR) 20 15 25 8 6 25 5 4 20 0 0 .

    CEREALS (MALT) 5 3 40 3 2 33.3 2 1 50 0 0 .

    RICE 35 12 65.7 2 1 50 7 3 57.1 20 4 80

    RYE 4 4 0 1 1 0 3 3 0 0 0 .

    SPELT 4 2 50 3 2 33.3 1 0 100 0 0 .

    WHEAT 32 27 15.6 15 15 0 12 9 25 3 1 66.7

    Cereals 105 67 36.2 33 28 15.2 34 23 32.4 23 5 78.3

    Fruits and nuts APPLES 35 26 25.7 24 19 20.8 3 3 0 8 4 50

    APRICOTS 9 9 0 0 0 . 9 9 0 0 0 .

    AVOCADOS 5 1 80 0 0 . 0 0 . 5 1 80

    BANANAS 20 14 30 0 0 . 0 0 . 20 14 30

    BLUEBERRIES 4 2 50 1 1 0 1 0 100 2 1 50

    CHERIMOYA 3 0 100 0 0 . 0 0 . 3 0 100

    CHERRIES 21 21 0 12 12 0 4 4 0 5 5 0

    CURRANTS (RED, BLACK AND WHITE) 21 19 9.5 13 12 7.7 8 7 12.5 0 0 .

  • Figures in bold are subtotals and totals for product groupsND = number of samples with residues above the reporting level (LOQ) % = percentage samples below reporting level (LOQ)

    Pesticide monitoring 2014 Belgium on November 25, 2015 at 12:20:57 PM 26Table A2-a: Samples above reporting level, number of samples above reporting level and percentage of samples below the reporting level

    Part (a) - Variables related to the origin of samples

    Strategy=Surveillance

    Product Class Product Text Total ND % Domestic ND % EEA ND %Third

    Country ND %

    FIGS 1 0 100 0 0 . 0 0 . 1 0 100

    GRAPEFRUIT 15 15 0 0 0 . 2 2 0 12 12 0

    GRAPES (DRIED) 5 4 20 0 0 . 0 0 . 3 3 0

    GRAPES JUICE 9 1 88.9 0 0 . 5 0 100 2 0 100

    GUAVA 2 1 50 0 0 . 0 0 . 2 1 50

    KIWI 20 3 85 0 0 . 5 1 80 15 2 86.7

    LEMONS 6 6 0 0 0 . 2 2 0 4 4 0

    LIMES 3 3 0 0 0 . 0 0 . 3 3 0

    LYCHEE (LITCHI) 5 2 60 0 0 . 0 0 . 5 2 60

    MANDARINS 15 13 13.3 0 0 . 14 12 14.3 1 1 0

    MANGOES 10 5 50 0 0 . 0 0 . 10 5 50

    NECTARINES 1 0 100 0 0 . 0 0 . 1 0 100

    ORANGES 42 42 0 0 0 . 18 18 0 24 24 0

    ORANGES JUICE 10 1 90 5 0 100 4 1 75 1 0 100

    PAPAYA 1 0 100 0 0 . 0 0 . 1 0 100

    PASSION FRUIT 13 8 38.5 0 0 . 0 0 . 13 8 38.5

    PEACHES 43 36 16.3 0 0 . 43 36 16.3 0 0 .

    PEARS 21 13 38.1 18 11 38.9 2 1 50 1 1 0

    PERSIMMON 1 1 0 0 0 . 0 0 . 1 1 0

    PINEAPPLES 35 32 8.6 0 0 . 0 0 . 35 32 8.6

    PITAYA 6 4 33.3 0 0 . 0 0 . 6 4 33.3

    PLUMS 11 6 45.5 1 1 0 7 3 57.1 3 2 33.3

    RASPBERRIES 19 18 5.3 13 13 0 4 3 25 0 0 .

    ROSE WINE 5 2 60 0 0 . 5 2 60 0 0 .

    STRAWBERRIES 128 123 3.9 101 96 5 19 19 0 8 8 0

    TABLE GRAPES 95 91 4.2 1 1 0 45 43 4.4 49 47 4.1

    WHITE WINE 5 3 40 0 0 . 3 1 66.7 2 2 0

  • Figures in bold are subtotals and totals for product groupsND = number of samples with residues above the reporting level (LOQ) % = percentage samples below reporting level (LOQ)

    Pesticide monitoring 2014 Belgium on November 25, 2015 at 12:20:57 PM 27Table A2-a: Samples above reporting level, number of samples above reporting level and percentage of samples below the reporting level

    Part (a) - Variables related to the origin of samples

    Strategy=Surveillance

    Product Class Product Text Total ND % Domestic ND % EEA ND %Third

    Country ND %

    Fruits and nuts 645 525 18.6 189 166 12.2 203 167 17.7 246 187 24

    Other plant products COCOA 10 3 70 0 0 . 1 0 100 9 3 66.7

    COFFEE 5 0 100 1 0 100 0 0 . 2 0 100

    CORIANDER SEED 2 2 0 1 1 0 1 1 0 0 0 .

    CUMIN SEED 1 1 0 0 0 . 1 1 0 0 0 .

    GINGER 1 1 0 0 0 . 0 0 . 1 1 0

    HERBAL INFUSIONS, DRIED 38 28 26.3 9 4 55.6 18 15 16.7 5 4 20

    LENTILS (DRY) 10 4 60 0 0 . 6 3 50 3 0 100

    LINSEED 2 0 100 0 0 . 0 0 . 2 0 100

    OLIVES (OIL) 5 2 60 0 0 . 3 2 33.3 0 0 .

    PEANUTS (OIL) 5 4 20 0 0 . 0 0 . 0 0 .

    PEAS (DRY) 5 0 100 0 0 . 1 0 100 1 0 100

    PEPPER, BLACK AND WHITE 4 3 25 0 0 . 2 2 0 2 1 50

    RAPE SEED 2 0 100 0 0 . 0 0 . 2 0 100

    SOYA BEAN 3 0 100 0 0 . 1 0 100 2 0 100

    SPICES 3 1 66.7 1 0 100 1 1 0 1 0 100

    SUNFLOWER (OIL) 5 0 100 4 0 100 0 0 . 0 0 .

    TEA 45 33 26.7 3 2 33.3 13 11 15.4 24 18 25

    TURMERIC (CURCUMA) 1 0 100 1 0 100 0 0 . 0 0 .

    Other plant products 147 82 44.2 20 7 65 48 36 25 54 27 50

    Other products BARLEY (FEED) 9 6 33.3 6 5 16.7 2 1 50 0 0 .

    CROPS EXCLUSIVELY USED FOR ANIMAL FEED 36 15 58.3 18 10 44.4 4 2 50 14 3 78.6

    LINSEED (FEED) 3 0 100 1 0 100 0 0 . 2 0 100

    MAIZE (FEED) 11 3 72.7 1 0 100 1 0 100 9 3 66.7

    MILLET (FEED) 1 0 100 0 0 . 0 0 . 1 0 100

    OATS (FEED) 1 0 100 1 0 100 0 0 . 0 0 .

    RAPE SEED (FEED) 1 1 0 1 1 0 0 0 . 0 0 .

  • Figures in bold are subtotals and totals for product groupsND = number of samples with residues above the reporting level (LOQ) % = percentage samples below reporting level (LOQ)

    Pesticide monitoring 2014 Belgium on November 25, 2015 at 12:20:57 PM 28Table A2-a: Samples above reporting level, number of samples above reporting level and percentage of samples below the reporting level

    Part (a) - Variables related to the origin of samples

    Strategy=Surveillance

    Product Class Product Text Total ND % Domestic ND % EEA ND %Third

    Country ND %

    SORGHUM (FEED) 3 1 66.7 0 0 . 0 0 . 3 1 66.7

    SOYA BEAN (FEED) 1 0 100 0 0 . 0 0 . 0 0 .

    SPELT (FEED) 1 1 0 1 1 0 0 0 . 0 0 .

    WHEAT (FEED) 19 5 73.7 12 2 83.3 5 2 60 1 0 100

    Other products 86 32 62.8 41 19 53.7 12 5 58.3 30 7 76.7

    Vegetables ASPARAGUS 10 0 100 4 0 100 2 0 100 4 0 100

    AUBERGINES (EGG PLANTS) 30 13 56.7 7 3 57.1 8 2 75 15 8 46.7

    BASIL 16 13 18.8 3 1 66.7 2 1 50 11 11 0

    BEANS 4 3 25 1 1 0 0 0 . 1 0 100

    BEANS (WITH PODS) 59 39 33.9 24 17 29.2 9 7 22.2 20 10 50

    BEANS (WITHOUT PODS) 4 2 50 0 0 . 1 0 100 0 0 .

    BROCCOLI 41 12 70.7 13 6 53.8 24 5 79.2 0 0 .

    BRUSSELS SPROUTS 5 4 20 5 4 20 0 0 . 0 0 .

    CARROTS 44 21 52.3 35 18 48.6 7 3 57.1 0 0 .

    CAULIFLOWER 37 7 81.1 23 4 82.6 12 3 75 0 0 .

    CELERIAC 15 14 6.7 15 14 6.7 0 0 . 0 0 .

    CELERY 52 48 7.7 36 32 11.1 16 16 0 0 0 .

    CELERY LEAVES 2 2 0 0 0 . 2 2 0 0 0 .

    CHERVIL 5 1 80 4 1 75 0 0 . 0 0 .

    CHILI PEPPERS 16 11 31.3 1 0 100 3 3 0 11 7 36.4

    CHINESE CABBAGE 15 3 80 7 0 100 8 3 62.5 0 0 .

    CHIVES 1 1 0 0 0 . 0 0 . 1 1 0

    CORIANDER 4 3 25 0 0 . 0 0 . 4 3 25

    COURGETTES 37 22 40.5 31 18 41.9 6 4 33.3 0 0 .

    CUCUMBERS 30 20 33.3 14 12 14.3 16 8 50 0 0 .

    CULTIVATED FUNGI 16 4 75 13 4 69.2 3 0 100 0 0 .

    CURRY 1 1 0 1 1 0 0 0 . 0 0 .

  • Figures in bold are subtotals and totals for product groupsND = number of samples with residues above the reporting level (LOQ) % = percentage samples below reporting level (LOQ)

    Pesticide monitoring 2014 Belgium on November 25, 2015 at 12:20:57 PM 29Table A2-a: Samples above reporting level, number of samples above reporting level and percentage of samples below the reporting level

    Part (a) - Variables related to the origin of samples

    Strategy=Surveillance

    ProductClass Product Text Total ND % Domestic ND % EEA ND %

    ThirdCountry ND %

    CURRY LEAVES 2 2 0 0 0 . 0 0 . 2 2 0

    ENDIVE 2 0 100 2 0 100 0 0 . 0 0 .

    FENNEL 26 21 19.2 19 15 21.1 7 6 14.3 0 0 .

    FIRST POTATOES 2 0 100 0 0 . 1 0 100 1 0 100

    FUNGI 1 0 100 1 0 100 0 0 . 0 0 .

    GARLIC 35 16 54.3 0 0 . 26 13 50 8 2 75

    HEAD CABBAGE 25 9 64 25 9 64 0 0 . 0 0 .

    ICEBERG 5 3 40 1 0 100 4 3 25 0 0 .

    KOHLRABI 3 0 100 1 0 100 2 0 100 0 0 .

    LAMB'S LETTUCE 35 27 22.9 28 21 25 7 6 14.3 0 0 .

    LEEK 40 27 32.5 39 26 33.3 0 0 . 0 0 .

    LETTUCE 101 88 12.9 91 83 8.8 10 5 50 0 0 .

    MELONS 35 25 28.6 0 0 . 20 13 35 15 12 20

    MINT 2 2 0 0 0 . 0 0 . 2 2 0

    OKRA, LADYS FINGERS 5 1 80 0 0 . 0 0 . 5 1 80

    ONIONS 58 36 37.9 18 15 16.7 28 19 32.1 9 1 88.9

    PARSLEY 35 31 11.4 23 21 8.7 6 4 33.3 1 1 0

    PEAS (WITH PODS) 10 6 40 5 3 40 2 2 0 3 1 66.7

    PEAS (WITHOUT PODS) 33 18 45.5 11 6 45.5 6 5 16.7 6 1 83.3

    PEPPERS 41 25 39 18 8 55.6 17 11 35.3 3 3 0

    ROCKET, RUCOLA 15 13 13.3 7 5 28.6 8 8 0 0 0 .

    SALSIFY 2 1 50 2 1 50 0 0 . 0 0 .

    SCAROLE (BROAD-LEAF ENDIVE) 25 24 4 23 22 4.3 2 2 0 0 0 .

    SHALLOTS 10 8 20 1 0 100 9 8 11.1 0 0 .

    SPINACH 49 21 57.1 31 15 51.6 6 2 66.7 0 0 .

    SPRING ONIONS 15 10 33.3 3 1 66.7 10 9 10 2 0 100

    SWEET CORN 5 0 100 3 0 100 2 0 100 0 0 .

  • Figures in bold are subtotals and totals for product groupsND = number of samples with residues above the reporting level (LOQ) % = percentage samples below reporting level (LOQ)

    Pesticide monitoring 2014 Belgium on November 25, 2015 at 12:20:57 PM 30Table A2-a: Samples above reporting level, number of samples above reporting level and percentage of samples below the reporting level

    Part (a) - Variables related to the origin of samples

    Strategy=Surveillance

    ProductClass Product Text Total ND % Domestic ND % EEA ND %

    ThirdCountry ND %

    TARRAGON 3 3 0 0 0 . 0 0 . 3 3 0

    THYME 1 1 0 0 0 . 0 0 . 1 1 0

    TOMATOES 95 50 47.4 60 33 45 26 13 50 7 4 42.9

    TURNIPS 10 7 30 8 5 37.5 2 2 0 0 0 .

    VEGETABLES FRESH OR FROZEN 30 19 36.7 24 15 37.5 1 0 100 0 0 .

    WARE POTATOES 46 33 28.3 29 21 27.6 12 9 25 5 3 40

    WILD FUNGI 5 2 60 1 0 100 3 2 33.3 1 0 100

    WITLOOF 23 5 78.3 21 5 76.2 2 0 100 0 0 .

    Vegetables 1274 778 38.9 732 466 36.3 338 199 41.1 141 77 45.4

    3019 1598 47.1 1483 748 49.6 697 444 36.3 566 324 42.8

  • Figures in bold are subtotals and totals for product groupsND = number of samples with residues above the reporting level (LOQ) % = percentage samples below reporting level (LOQ)

    Pesticide monitoring 2014 Belgium on November 25, 2015 at 12:20:57 PM 31Table A2-b: Samples above reporting level, number of samples above reporting level and percentage of samples below the reporting level

    Part (b) - Variables related to the type of production and processing of samples

    Figures in bold are subtotals and totals for product groupsND = number of samples with residues above the reporting level (LOQ) % = percentage samples below reporting level (LOQ)

    Pesticide monitoring 2014 Belgium on November 25, 2015 at 12:20:57 PM 31Table A2-b: Samples above reporting level, number of samples above reporting level and percentage of samples below the reporting level

    Part (b) - Variables related to the type of production and processing of samples

    Strategy=Enforcement

    Product Class Product Text Organic ND %Non

    Organic ND % Raw ND % Process ND %

    Animal products DAIRY PRODUCTS CATTLE (MILK) 0 0 . 1 0 100 1 0 100 0 0 .

    SWINE MUSCLE 0 0 . 1 1 0 1 1 0 0 0 .

    Animal products 0 0 . 2 1 50 2 1 50 0 0 .

    Cereals BARLEY 0 0 . 1 1 0 1 1 0 0 0 .

    Cereals 0 0 . 1 1 0 1 1 0 0 0 .

    Fruits and nuts APPLES 0 0 . 2 1 50 2 1 50 0 0 .

    GUAVA 0 0 . 10 10 0 10 10 0 0 0 .

    MANDARINS 0 0 . 1 1 0 1 1 0 0 0 .

    ORANGES 0 0 . 13 13 0 13 13 0 0 0 .

    PASSION FRUIT 0 0 . 11 11 0 11 11 0 0 0 .

    PEARS 0 0 . 1 0 100 1 0 100 0 0 .

    PINEAPPLES 0 0 . 5 5 0 5 5 0 0 0 .

    PITAYA 0 0 . 12 12 0 12 12 0 0 0 .

    POMELO 0 0 . 3 3 0 3 3 0 0 0 .

    STRAWBERRIES 0 0 . 72 34 52.8 72 34 52.8 0 0 .

    SWEET CRANBERRIES 0 0 . 1 0 100 1 0 100 0 0 .

    TABLE GRAPES 0 0 . 1 1 0 1 1 0 0 0 .

    Fruits and nuts 0 0 . 132 91 31.1 132 91 31.1 0 0 .

    Other plant products DRIED BEANS 0 0 . 1 1 0 1 1 0 0 0 .

    HOPS, DRIED, INCLUDING HOP PELLETS UNCONCENTRATED 0 0 . 1 1 0 1 1 0 0 0 .

    TEA 0 0 . 47 39 17 47 39 17 0 0 .

    Other plant products 0 0 . 49 41 16.3 49 41 16.3 0 0 .

    Other products CROPS EXCLUSIVELY USED FOR ANIMAL FEED 0 0 . 1 1 0 1 1 0 0 0 .

    WHEAT (FEED) 0 0 . 1 1 0 1 1 0 0 0 .

    Other products 0 0 . 2 2 0 2 2 0 0 0 .

    Vegetables AUBERGINES (EGG PLANTS) 0 0 . 46 30 34.8 46 30 34.8 0 0 .

    BASIL 0 0 . 11 11 0 11 11 0 0 0 .

  • Figures in bold are subtotals and totals for product groupsND = number of samples with residues above the reporting level (LOQ) % = percentage samples below reporting level (LOQ)

    Pesticide monitoring 2014 Belgium on November 25, 2015 at 12:20:57 PM 32Table A2-b: Samples above reporting level, number of samples above reporting level and percentage of samples below the reporting level

    Part (b) - Variables related to the type of production and processing of samples

    Strategy=Enforcement

    Product Class Product Text Organic ND %Non

    Organic ND % Raw ND % Process ND %

    BEANS (WITH PODS) 0 0 . 192 125 34.9 192 125 34.9 0 0 .

    BITTER MELON (MORMODICA CHARANTIA) 0 0 . 25 20 20 25 20 20 0 0 .

    BROCCOLI 0 0 . 1 1 0 1 1 0 0 0 .

    CHERVIL 0 0 . 2 2 0 2 2 0 0 0 .

    CHILI PEPPERS 0 0 . 74 67 9.5 74 67 9.5 0 0 .

    CHINESE CELERY 0 0 . 1 1 0 1 1 0 0 0 .

    CORIANDER 0 0 . 23 19 17.4 23 19 17.4 0 0 .

    CURRY LEAVES 0 0 . 30 30 0 30 30 0 0 0 .

    ENDIVE 0 0 . 3 2 33.3 3 2 33.3 0 0 .

    MINT 0 0 . 94 66 29.8 94 66 29.8 0 0 .

    OKRA, LADYS FINGERS 0 0 . 11 3 72.7 11 3 72.7 0 0 .

    PARSLEY 0 0 . 2 1 50 2 1 50 0 0 .

    PEAS (WITH PODS) 0 0 . 77 60 22.1 77 60 22.1 0 0 .

    PEPPERS 0 0 . 12 0 100 12 0 100 0 0 .

    TOMATOES 0 0 . 4 0 100 4 0 100 0 0 .

    TURNIPS 0 0 . 8 7 12.5 8 7 12.5 0 0 .

    VINE LEAVES (GRAPE LEAVES) 0 0 . 2 1 50 2 1 50 0 0 .

    Vegetables 0 0 . 618 446 27.8 618 446 27.8 0 0 .

    0 0 . 804 582 27.6 804 582 27.6 0 0 .

  • Figures in bold are subtotals and totals for product groupsND = number of samples with residues above the reporting level (LOQ) % = percentage samples below reporting level (LOQ)

    Figures in bold are subtotals and totals for product groupsND = number of samples with residues above the reporting level (LOQ) % = percentage samples below reporting level (LOQ)

    Pesticide monitoring 2014 Belgium on November 25, 2015 at 12:20:57 PM 33Table A2-b: Samples above reporting level, number of samples above reporting level and percentage of samples below the reporting level

    Part (b) - Variables related to the type of production and processing of samples

    Strategy=Surveillance

    ProductClass Product Text Organic ND %

    NonOrganic ND % Raw ND % Process ND %

    Animalproducts

    BOVINE FAT 0 0 . 35 13 62.9 35 13 62.9 0 0 .

    BOVINE LIVER 1 0 100 44 0 100 45 0 100 0 0 .

    BOVINE MUSCLE 0 0 . 25 9 64 25 9 64 0 0 .

    DAIRY PRODUCTS CATTLE (BUTTER) 0 0 . 20 2 90 0 0 . 20 2 90

    DAIRY PRODUCTS CATTLE (CHEESE) 0 0 . 29 3 89.7 0 0 . 29 3 89.7

    DAIRY PRODUCTS CATTLE (MILK) 0 0 . 89 7 92.1 89 7 92.1 0 0 .

    DAIRY PRODUCTS CATTLE (POWDER) 0 0 . 20 1 95 0 0 . 20 1 95

    DAIRY PRODUCTS GOAT (MILK) 0 0 . 1 0 100 1 0 100 0 0 .

    DAIRY PRODUCTS HORSE (MILK) 0 0 . 13 2 84.6 13 2 84.6 0 0 .

    DAIRY PRODUCTS SHEEP (MILK) 0 0 . 2 0 100 2 0 100 0 0 .

    EGGS CHICKEN 1 0 100 33 9 72.7 34 9 73.5 0 0 .

    EQUINE MUSCLE 0 0 . 1 0 100 1 0 100 0 0 .

    HONEY 2 0 100 70 15 78.6 72 15 79.2 0 0 .

    HORSES, ASSES, MULES OR HINNIES FAT 0 0 . 3 2 33.3 3 2 33.3 0 0 .

    HORSES, ASSES, MULES OR HINNIES LIVER 0 0 . 4 0 100 4 0 100 0 0 .

    OTHER FARM ANIMALS FAT 0 0 . 4 0 100 4 0 100 0 0 .

    OTHER FARM ANIMALS MUSCLE 0 0 . 3 0 100 3 0 100 0 0 .

    POULTRY MUSCLE 1 0 100 17 1 94.1 18 1 94.4 0 0 .

    POULTRY — CHICKEN, GEESE, DUCK, TURKEY AND GUINEA FOWL — OSTRICH, PIGEONFAT

    0 0 . 51 19 62.7 51 19 62.7 0 0 .

    POULTRY — CHICKEN, GEESE, DUCK, TURKEY AND GUINEA FOWL — OSTRICH, PIGEONLIVER

    0 0 . 6 0 100 6 0 100 0 0 .

    SHEEP FAT 0 0 . 4 3 25 4 3 25 0 0 .

    SHEEP LIVER 0 0 . 6 0 100 6 0 100 0 0 .

    SHEEP MUSCLE 0 0 . 2 1 50 2 1 50 0 0 .

    SWINE FAT 0 0 . 75 19 74.7 75 19 74.7 0 0 .

    SWINE LIVER 0 0 . 107 0 100 107 0 100 0 0 .

  • Figures in bold are subtotals and totals for product groupsND = number of samples with residues above the reporting level (LOQ) % = percentage samples below reporting level (LOQ)

    Pesticide monitoring 2014 Belgium on November 25, 2015 at 12:20:57 PM 34Table A2-b: Samples above reporting level, number of samples above reporting level and percentage of samples below the reporting level

    Part (b) - Variables related to the type of production and processing of samples

    Strategy=Surveillance

    Product Class Product Text Organic ND %Non

    Organic ND % Raw ND % Process ND %

    SWINE MUSCLE 0 0 . 1 0 100 1 0 100 0 0 .

    Animalproducts

    5 0 100 665 106 84.1 601 100 83.4 69 6 91.3

    Baby food BABY FOOD FOR INFANTS AND YOUNG CHILDERN 0 0 . 8 2 75 0 0 . 8 2 75

    BABYFOOD WITH FRUITS 0 0 . 16 0 100 0 0 . 16 0 100

    BABYFOOD WITH VEGETABLE 0 0 . 18 2 88.9 0 0 . 18 2 88.9

    FOLLOW-ON FORMULAE 0 0 . 12 1 91.7 0 0 . 12 1 91.7

    INFANT FORMULAE 0 0 . 8 1 87.5 0 0 . 8 1 87.5

    PROCESSED CEREAL-BASED BABY FOODS (E.G. CEREAL AND PASTAS TO BERECONSTITUTED WITH MILK OR OTHER LIQUIDS)

    0 0 . 30 2 93.3 0 0 . 30 2 93.3

    Baby food 0 0 . 92 8 91.3 0 0 . 92 8 91.3

    Cereals BARLEY 0 0 . 5 4 20 5 4 20 0 0 .

    CEREALS (FLOUR) 0 0 . 20 15 25 0 0 . 20 15 25

    CEREALS (MALT) 0 0 . 5 3 40 0 0 . 5 3 40

    RICE 1 1 0 34 11 67.6 35 12 65.7 0 0 .

    RYE 0 0 . 4 4 0 4 4 0 0 0 .

    SPELT 0 0 . 4 2 50 4 2 50 0 0 .

    WHEAT 0 0 . 32 27 15.6 32 27 15.6 0 0 .

    Cereals 1 1 0 104 66 36.5 80 49 38.8 25 18 28

    Fruits and nuts APPLES 0 0 . 35 26 25.7 35 26 25.7 0 0 .

    APRICOTS 0 0 . 9 9 0 9 9 0 0 0 .

    AVOCADOS 0 0 . 5 1 80 5 1 80 0 0 .

    BANANAS 0 0 . 20 14 30 20 14 30 0 0 .

    BLUEBERRIES 0 0 . 4 2 50 4 2 50 0 0 .

    CHERIMOYA 0 0 . 3 0 100 3 0 100 0 0 .

    CHERRIES 0 0 . 21 21 0 21 21 0 0 0 .

    CURRANTS (RED, BLACK AND WHITE) 0 0 . 21 19 9.5 21 19 9.5 0 0 .

  • Figures in bold are subtotals and totals for product groupsND = number of samples with residues above the reporting level (LOQ) % = percentage samples below reporting level (LOQ)

    Pesticide monitoring 2014 Belgium on November 25, 2015 at 12:20:57 PM 35Table A2-b: Samples above reporting level, number of samples above reporting level and percentage of samples below the reporting level

    Part (b) - Variables related to the type of production and processing of samples

    Strategy=Surveillance

    Product Class Product Text Organic ND %Non

    Organic ND % Raw ND % Process ND %

    FIGS 0 0 . 1 0 100 1 0 100 0 0 .

    GRAPEFRUIT 0 0 . 15 15 0 15 15 0 0 0 .

    GRAPES (DRIED) 0 0 . 5 4 20 0 0 . 5 4 20

    GRAPES JUICE 0 0 . 9 1 88.9 0 0 . 9 1 88.9

    GUAVA 0 0 . 2 1 50 2 1 50 0 0 .

    KIWI 0 0 . 20 3 85 20 3 85 0 0 .

    LEMONS 0 0 . 6 6 0 6 6 0 0 0 .

    LIMES 0 0 . 3 3 0 3 3 0 0 0 .

    LYCHEE (LITCHI) 0 0 . 5 2 60 5 2 60 0 0 .

    MANDARINS 1 0 100 14 13 7.1 15 13 13.3 0 0 .

    MANGOES 0 0 . 10 5 50 10 5 50 0 0 .

    NECTARINES 0 0 . 1 0 100 1 0 100 0 0 .

    ORANGES 0 0 . 42 42 0 42 42 0 0 0 .

    ORANGES JUICE 0 0 . 10 1 90 0 0 . 10 1 90

    PAPAYA 0 0 . 1 0 100 1 0 100 0 0 .

    PASSION FRUIT 0 0 . 13 8 38.5 13 8 38.5 0 0 .

    PEACHES 0 0 . 43 36 16.3 43 36 16.3 0 0 .

    PEARS 1 0 100 20 13 35 21 13 38.1 0 0 .

    PERSIMMON 0 0 . 1 1 0 1 1 0 0 0 .

    PINEAPPLES 0 0 . 35 32 8.6 35 32 8.6 0 0 .

    PITAYA 0 0 . 6 4 33.3 6 4 33.3 0 0 .

    PLUMS 0 0 . 11 6 45.5 11 6 45.5 0 0 .

    RASPBERRIES 0 0 . 19 18 5.3 19 18 5.3 0 0 .

    ROSE WINE 0 0 . 5 2 60 0 0 . 5 2 60

    STRAWBERRIES 0 0 . 128 123 3.9 128 123 3.9 0 0 .

    TABLE GRAPES 0 0 . 95 91 4.2 95 91 4.2 0 0 .

    WHITE WINE 0 0 . 5 3 40 0 0 . 5 3 40

  • Figures in bold are subtotals and totals for product groupsND = number of samples with residues above the reporting level (LOQ) % = percentage samples below reporting level (LOQ)

    Pesticide monitoring 2014 Belgium on November 25, 2015 at 12:20:57 PM 36Table A2-b: Samples above reporting level, number of samples above reporting level and percentage of samples below the reporting level

    Part (b) - Variables related to the type of production and processing of samples

    Strategy=Surveillance

    Product Class Product Text Organic ND %Non

    Organic ND % Raw ND % Process ND %

    Fruits and nuts 2 0 100 643 525 18.4 611 514 15.9 34 11 67.6

    Other plant products COCOA 0 0 . 10 3 70 10 3 70 0 0 .

    COFFEE 0 0 . 5 0 100 5 0 100 0 0 .

    CORIANDER SEED 0 0 . 2 2 0 2 2 0 0 0 .

    CUMIN SEED 0 0 . 1 1 0 1 1 0 0 0 .

    GINGER 0 0 . 1 1 0 1 1 0 0 0 .

    HERBAL INFUSIONS, DRIED 0 0 . 38 28 26.3 38 28 26.3 0 0 .

    LENTILS (DRY) 0 0 . 10 4 60 10 4 60 0 0 .

    LINSEED 0 0 . 2 0 100 2 0 100 0 0 .

    OLIVES (OIL) 0 0 . 5 2 60 0 0 . 5 2 60

    PEANUTS (OIL) 0 0 . 5 4 20 0 0 . 5 4 20

    PEAS (DRY) 0 0 . 5 0 100 5 0 100 0 0 .

    PEPPER, BLACK AND WHITE 0 0 . 4 3 25 4 3 25 0 0 .

    RAPE SEED 0 0 . 2 0 100 2 0 100 0 0 .

    SOYA BEAN 0 0 . 3 0 100 3 0 100 0 0 .

    SPICES 0 0 . 3 1 66.7 3 1 66.7 0 0 .

    SUNFLOWER (OIL) 0 0 . 5 0 100 0 0 . 5 0 100

    TEA 0 0 . 45 33 26.7 45 33 26.7 0 0 .

    TURMERIC (CURCUMA) 0 0 . 1 0 100 1 0 100 0 0 .

    Other plant products 0 0 . 147 82 44.2 132 76 42.4 15 6 60

    Other products BARLEY (FEED) 0 0 . 9 6 33.3 9 6 33.3 0 0 .

    CROPS EXCLUSIVELY USED FOR ANIMAL FEED 1 1 0 35 14 60 30 11 63.3 6 4 33.3

    LINSEED (FEED) 0 0 . 3 0 100 3 0 100 0 0 .

    MAIZE (FEED) 0 0 . 11 3 72.7 11 3 72.7 0 0 .

    MILLET (FEED) 0 0 . 1 0 100 1 0 100 0 0 .

    OATS (FEED) 0 0 . 1 0 100 1 0 100 0 0 .

    RAPE SEED (FEED) 0 0 . 1 1 0 1 1 0 0 0 .

  • Figures in bold are subtotals and totals for product groupsND = number of samples with residues above the reporting level (LOQ) % = percentage samples below reporting level (LOQ)

    Pesticide monitoring 2014 Belgium on November 25, 2015 at 12:20:57 PM 37Table A2-b: Samples above reporting level, number of samples above reporting level and percentage of samples below the reporting level

    Part (b) - Variables related to the type of production and processing of samples

    Strategy=Surveillance

    Product Class Product Text Organic ND %Non

    Organic ND % Raw ND % Process ND %

    SORGHUM (FEED) 0 0 . 3 1 66.7 3 1 66.7 0 0 .

    SOYA BEAN (FEED) 0 0 . 1 0 100 1 0 100 0 0 .

    SPELT (FEED) 0 0 . 1 1 0 1 1 0 0 0 .

    WHEAT (FEED) 0 0 . 19 5 73.7 19 5 73.7 0 0 .

    Other products 1 1 0 85 31 63.5 80 28 65 6 4 33.3

    Vegetables ASPARAGUS 0 0 . 10 0 100 10 0 100 0 0 .

    AUBERGINES (EGG PLANTS) 0 0 . 30 13 56.7 30 13 56.7 0 0 .

    BASIL 3 0 100 13 13 0 16 13 18.8 0 0 .

    BEANS 0 0 . 4 3 25 4 3 25 0 0 .

    BEANS (WITH PODS) 2 0 100 57 39 31.6 54 36 33.3 5 3 40

    BEANS (WITHOUT PODS) 0 0 . 4 2 50 4 2 50 0 0 .

    BROCCOLI 0 0 . 41 12 70.7 41 12 70.7 0 0 .

    BRUSSELS SPROUTS 0 0 . 5 4 20 5 4 20 0 0 .

    CARROTS 2 0 100 42 21 50 39 21 46.2 5 0 100

    CAULIFLOWER 0 0 . 37 7 81.1 37 7 81.1 0 0 .

    CELERIAC 0 0 . 15 14 6.7 15 14 6.7 0 0 .

    CELERY 0 0 . 52 48 7.7 52 48 7.7 0 0 .

    CELERY LEAVES 0 0 . 2 2 0 2 2 0 0 0 .

    CHERVIL 0 0 . 5 1 80 5 1 80 0 0 .

    CHILI PEPPERS 0 0 . 16 11 31.3 16 11 31.3 0 0 .

    CHINESE CABBAGE 0 0 . 15 3 80 15 3 80 0 0 .

    CHIVES 0 0 . 1 1 0 1 1 0 0 0 .

    CORIANDER 0 0 . 4 3 25 4 3 25 0 0 .

    COURGETTES 0 0 . 37 22 40.5 37 22 40.5 0 0 .

    CUCUMBERS 1 0 100 29 20 31 30 20 33.3 0 0 .

    CULTIVATED FUNGI 0 0 . 16 4 75 16 4 75 0 0 .

    CURRY 0 0 . 1 1 0 0 0 . 1 1 0

  • Figures in bold are subtotals and totals for product groupsND = number of samples with residues above the reporting level (LOQ) % = percentage samples below reporting level (LOQ)

    Pesticide monitoring 2014 Belgium on November 25, 2015 at 12:20:57 PM 38Table A2-b: Samples above reporting level, number of samples above reporting level and percentage of samples below the reporting level

    Part (b) - Variables related to the type of production and processing of samples

    Strategy=Surveillance

    ProductClass Product Text Organic ND %

    NonOrganic ND % Raw ND % Process ND %

    CURRY LEAVES 0 0 . 2 2 0 2 2 0 0 0 .

    ENDIVE 0 0 . 2 0 100 2 0 100 0 0 .

    FENNEL 0 0 . 26 21 19.2 26 21 19.2 0 0 .

    FIRST POTATOES 0 0 . 2 0 100 2 0 100 0 0 .

    FUNGI 0 0 . 1 0 100 1 0 100 0 0 .

    GARLIC 0 0 . 35 16 54.3 35 16 54.3 0 0 .

    HEAD CABBAGE 0 0 . 25 9 64 25 9 64 0 0 .

    ICEBERG 0 0 . 5 3 40 5 3 40 0 0 .

    KOHLRABI 0 0 . 3 0 100 3 0 100 0 0 .

    LAMB'S LETTUCE 0 0 . 35 27 22.9 35 27 22.9 0 0 .

    LEEK 0 0 . 40 27 32.5 40 27 32.5 0 0 .

    LETTUCE 0 0 . 101 88 12.9 101 88 12.9 0 0 .

    MELONS 0 0 . 35 25 28.6 35 25 28.6 0 0 .

    MINT 0 0 . 2 2 0 2 2 0 0 0 .

    OKRA, LADYS FINGERS 0 0 . 5 1 80 5 1 80 0 0 .

    ONIONS 0 0 . 58 36 37.9 58 36 37.9 0 0 .

    PARSLEY 0 0 . 35 31 11.4 35 31 11.4 0 0 .

    PEAS (WITH PODS) 0 0 . 10 6 40 10 6 40 0 0 .

    PEAS (WITHOUT PODS) 0 0 . 33 18 45.5 23 11 52.2 10 7 30

    PEPPERS 0 0 . 41 25 39 39 23 41 2 2 0

    ROCKET, RUCOLA 0 0 . 15 13 13.3 15 13 13.3 0 0 .

    SALSIFY 0 0 . 2 1 50 2 1 50 0 0 .

    SCAROLE (BROAD-LEAF ENDIVE) 0 0 . 25 24 4 25 24 4 0 0 .

    SHALLOTS 0 0 . 10 8 20 10 8 20 0 0 .

    SPINACH 0 0 . 49 21 57.1 49 21 57.1 0 0 .

    SPRING ONIONS 0 0 . 15 10 33.3 15 10 33.3 0 0 .

    SWEET CORN 0 0 . 5 0 100 0 0 . 5 0 100

  • Figures in bold are subtotals and totals for product groupsND = number of samples with residues above the reporting level (LOQ) % = percentage samples below reporting level (LOQ)

    Pesticide monitoring 2014 Belgium on November 25, 2015 at 12:20:57 PM 39Table A2-b: Samples above reporting level, number of samples above reporting level and percentage of samples below the reporting level

    Part (b) - Variables related to the type of production and processing of samples

    Strategy=Surveillance

    ProductClass Product Text Organic ND %

    NonOrganic ND % Raw ND % Process ND %

    TARRAGON 0 0 . 3 3 0 3 3 0 0 0 .

    THYME 0 0 . 1 1 0 1 1 0 0 0 .

    TOMATOES 0 0 . 95 50 47.4 80 44 45 15 6 60

    TURNIPS 0 0 . 10 7 30 10 7 30 0 0 .

    VEGETABLES FRESH OR FROZEN 0 0 . 30 19 36.7 0 0 . 30 19 36.7

    WARE POTATOES 2 1 50 44 32 27.3 46 33 28.3 0 0 .

    WILD FUNGI 0 0 . 5 2 60 0 0 . 5 2 60

    WITLOOF 0 0 . 23 5 78.3 23 5 78.3 0 0 .

    Vegetables 10 1 90 1264 777 38.5 1196 738 38.3 78 40 48.7

    19 3 84.2 3000 1595 46.8 2700 1505 44.3 319 93 70.8

  • Pesticide monitoring 2014 Belgium on November 25, 2015 at 12:20:57 PM 40Table A3: Scope of analytical methods, number of samples analysed for each residue by matrix

    Rownumber Compound

    AnimalFeed

    NrFound

    MRLEx

    2 1-naphthylacetamide 87 0 0

    8 3-Chloroaniline 87 0 0

    10 6-Benzyladenin 87 0 0

    11 Abamectin (sum) 31 0 0

    12 Acephate 87 0 0

    13 Acetamiprid 87 0 0

    14 Acetochlor 85 0 0

    15 Acibenzolar acid (CGA 210007) 87 0 0

    16 Acibenzolar-S-methyl (sum) 87 0 0

    17 Aclonifen 87 0 0

    18 Acrinathrin 87 0 0

    19 Acybenzolar-S-methyl 87 0 0

    20 Alachlor 87 0 0

    21 Aldicarb 87 0 0

    22 Aldicarb (sum) 87 0 0

    23 Aldicarb sulfone 87 0 0

    24 Aldicarb sulfoxide 87 0 0

    25 Aldrin 88 0 0

    26 Aldrin and Dieldrin 88 0 0

    27 Allethrin 87 0 0

    29 Ametryn 87 0 0

    30 Amidosulfuron 87 0 0

    32 Amisulbrom 87 0 0

    35 Anthraquinone 35 0 0

    37 Atrazine 87 0 0

    38 Azaconazole 87 0 0

    39 Azadirachtin 87 0 0

    40 Azamethiphos 87 0 0

    41 Azimsulfuron 87 0 0

    42 Azinphos-ethyl 87 0 0

  • Pesticide monitoring 2014 Belgium on November 25, 2015 at 12:20:57 PM 41Table A3: Scope of analytical methods, number of samples analysed for each residue by matrix

    Rownumber Compound

    AnimalFeed

    NrFound

    MRLEx

    43 Azinphos-methyl 87 0 0

    45 Azoxystrobin 87 0 0

    47 Beflubutamid 87 0 0

    48 Benalaxyl (sum) 87 0 0

    49 Bendiocarb 87 0 0

    50 Benfluralin 87 0 0

    51 Benfuracarb 68 0 0

    53 Bensulfuron-ethyl 87 0 0

    55 Benthiavalicarb (sum) 87 0 0

    56 Benzoylprop-ethyl 85 0 0

    57 Bifenazate 87 0 0

    58 Bifenox 87 0 0

    59 Bifenthrin 87 0 0

    61 Biphenyl 87 0 0

    62 Bispyribac 87 0 0

    63 Bitertanol 87 0 0

    64 Bixafen 87 1 0

    65 Boscalid 87 0 0

    66 Bromacil 87 0 0

    67 Bromfenvinfos 87 0 0

    70 Bromophos 85 0 0

    71 Bromophos-ethyl 87 0 0

    72 Bromopropylate 87 0 0

    74 Bromuconazole (sum) 87 0 0

    75 Bupirimate 87 0 0

    76 Buprofezin 87 0 0

    77 Butachlor 85 0 0

    78 Butafenacil 85 0 0

    81 Butralin 87 0 0

    82 Butylate 85 0 0

  • Pesticide monitoring 2014 Belgium on November 25, 2015 at 12:20:57 PM 42Table A3: Scope of analytical methods, number of samples analysed for each residue by matrix

    Rownumber Compound

    AnimalFeed

    NrFound

    MRLEx

    83 Cadusafos 87 0 0

    87 Carbaryl 87 0 0

    90 Carbendazim and benomyl 87 0 0

    91 Carbetamide 87 0 0

    92 Carbofuran 88 0 0

    93 Carbofuran (sum) 88 0 0

    94 Carbofuran, 3-hydroxy 88 0 0

    95 Carbophenothion 87 0 0

    97 Carbosulfan 87 0 0

    98 Carboxin 87 0 0

    99 Carfentrazone-ethyl (sum) 87 0 0

    100 Chinomethionat 87 0 0

    101 Chlorantranilipole 87 0 0

    103 Chlorbenside 85 0 0

    104 Chlorbromuron 87 0 0

    107 Chlordane (sum) 88 0 0

    108 Chlordimeform 85 0 0

    109 Chlorfenapyr 87 0 0

    111 Chlorfenson 87 0 0

    112 Chlorfenvinphos 87 0 0

    113 Chlorfluazuron 87 0 0

    116 Chloridazon 87 0 0

    117 Chlormephos 85 0 0

    119 Chlorobenzilate 87 0 0

    120 Chloroneb 85 0 0

    122 Chlorothalonil 87 0 0

    123 Chlorotoluron 87 0 0

    124 Chloroxuron 87 0 0

    125 Chlorpropham 87 3 0

    126 Chlorpropham (sum) 85 3 1

  • Pesticide monitoring 2014 Belgium on November 25, 2015 at 12:20:57