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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