THE DYNAMICS OF PIG CARCASSES CLASSIFICATION IN ROMANIA BETWEEN , BY MANUAL METHOD THE ZWEI PUNKTE

Similar documents
Carcass grading system in Lithuania

Council of the European Union Brussels, 21 April 2017 (OR. en) Mr Jeppe TRANHOLM-MIKKELSEN, Secretary-General of the Council of the European Union

Official Journal of the European Union

STUDY ON THE CHARACTERISTICS OF THE AUTOCHTHONOUS GOAT BREEDS EXPLOITED IN THE FARM OF S.C. AGROFAM HOLDING FETEŞTI

ROMANIAN SPORT HORSES: EFFECTS OF COMPETITION LEVEL, SEX AND BREEDER ON THE NATIONAL DRESSAGE RANKING

Intra-EU trade in live wild boar. PAFF April 2018

Farm Animals Breeding Act 1

COMPARATIVE STUDY OF SOME INDICES AND BODY COEFFICIENTS OF SILURUS GLANIS AND CYPRINUS CARPIO IN DIFFERENT STAGES OF DEVELOPMENT

RESEARCH REGARDING THE INFLUENCE OF BETA IRRADIATION ON THE ENZYMATIC ACTIVITY OF BAKER S YEAST

Farm Animals Breeding Act 1

EUROPEAN UNION. Brussels, 23 May 2013 (OR. en) 2011/0364 (COD) PE-CONS 76/12 PECHE 549 ENV 952 CODEC 3067 OC 765

Studies About the Front Bumper Performance During a Pedestrian Leg Impact

Analyses and statistics on the frequency and the incidence of traffic accidents within Dolj County

Rate and Econom ofgain HEa ~ Of 1

THE FUNDAMENTALS OF THE AIR SAMPLER CALIBRATION-VERIFICATION PROCESS

Evaluation of sire lines: G Performer and Shade Oak Duroc and dam lines: F1 SEPQ and Fertilis th and 26 th station trials

Estimation and Analysis of Fish Catches by Category Based on Multidimensional Time Series Database on Sea Fishery in Greece

Explore the basis for including competition traits in the genetic evaluation of the Icelandic horse

African swine fever (ASF)

COMMISSION OF THE EUROPEAN COMMUNITIES. Proposal for a COUNCIL REGULATION. establishing measures for the recovery of the stock of European Eel.

2012 No. 501 ANIMALS, ENGLAND. The Welfare of Animals (Slaughter or Killing) (Amendment) (England) Regulations 2012

Boyle s Law: Pressure-Volume Relationship in Gases. PRELAB QUESTIONS (Answer on your own notebook paper)

THE INTEGRATION OF THE SEA BREAM AND SEA BASS MARKET: EVIDENCE FROM GREECE AND SPAIN

THE EFFICIENCY STUDY OF THE FINAL ACTION AT A WOMAN BASKETBALL TEAM

The new stress negative Pietrain line developed at the Faculty of Veterinary Medicine of the University of Liege.

THE DYNAMICS OF THE ICHTHYOFAUNA S ECOLOGICAL GROUPS OF THE DANUBE (IN THE BRAILA ZONE) IN DIFFERENT PERIODS

Official Journal of the European Union L 248/17

MORPHOLOGICAL STUDY CONCERNING THE REPRODUCTION HORSES FROM ROMANIAN SEMIGREUL BREED FROM RUŞEŢU STUD

Meat Goat. & Fabrication Guide

Effects of Geometry on Speed Flow Relationships for Two Lane Single Carriageway Roads Othman CHE PUAN 1,* and Nur Syahriza MUHAMAD NOR 2

Standard 3.1 The student will plan and conduct investigations in which

SECTION 19-THE PIG INDUSTRY (GRADING) REGULATIONS Regulations by the Minister. Notices 138 of 1960

Pork Carcass Evaluation and Procedures

M. G. Keane, Teagasc, Grange Beef Research Centre, Dunsany, Co. Meath, Ireland.

Proposal for a COUNCIL REGULATION

Impact of butchers and market trends on the integrity of small ruminant genetic resources

International Journal of Technical Research and Applications e-issn: , Volume 4, Issue 3 (May-June, 2016), PP.

4-H Alberta Steer Carcass Competition Guidelines

HUNTING WITH HOUNDS THE CASE FOR EUROPEAN UNION LEGISLATION

COMMISSION DELEGATED REGULATION (EU) No /.. of

Effect of body measurements on first lactation length in Jersey crosses and Holstein Friesian crosses

STUDY CONCERNING THE EFFECTIVENESS OF HANDBALL GOALKEEPER AT THE 7 M THROWS

Posting of workers in the European Union and EFTA countries : Report on A1 portable documents issued in 2010 and 2011

Bathing Water Directive report Austria

Bathing Water Directive report Bulgaria

Traffic Impact Study. Westlake Elementary School Westlake, Ohio. TMS Engineers, Inc. June 5, 2017

Bathing water results 2010 Austria

DEVELOPMENT OF A SET OF TRIP GENERATION MODELS FOR TRAVEL DEMAND ESTIMATION IN THE COLOMBO METROPOLITAN REGION

Country report. Austrian bathing water quality in Austria. May Photo: Peter Kristensen

Dossier of Evidence. Second Edition Part 1: Journey Times October Recommendations for amendments to EU Council Regulation (EC) No.

World Championship for ship models Section С

Danish Yorkshire (Large White)

INFLUENCE OF BOOM HEIGHT AND WORKING PRESSURE ON DISTRIBUTION UNIFORMITY ON THE WIDTH OF SPRAYING MACHINES

D.O.I: Assistant Prof., University of Guilan, Rasht, Iran

REPORT AND RECOMMENDATIONS FROM THE TRAINING COURSE ON THE SURVEILLANCE OF WILDLIFE DISEASES AND THE ROLE OF HUNTERS

THE INFLUENCE OF HYDROTECHNICAL STRUCTURES ON THE MINOR RIVERBED MORPHOLOGY OF THE DANUBE, IN THE BALA BRANCH - OLD DANUBE BIFURCATION AREA

The Willingness to Walk of Urban Transportation Passengers (A Case Study of Urban Transportation Passengers in Yogyakarta Indonesia)

Boyle s law Verifying the relation between air pressure and volume measuring air pressure in a closed container.

Avis juridique important 31988L0642

differential pressure regulating valve - threaded

Journal of Emerging Trends in Computing and Information Sciences

A location model for pedestrian crossings in arterial streets

African Swine fever. Epidemiological situation and measuresin theeu

THE INFLUENCE OF SLOW RECOVERY INSOLE ON PLANTAR PRESSURE AND CONTACT AREA DURING WALKING

Country report. Bulgarian bathing water quality in Bulgaria. May Photo: Peter Kristensen

Traits of the breed Double muscle factor

Analysis of Run-Off-Road Crashes in Relation to Roadway Features and Driver Behavior

European Golf Statistics 2017

Competition Jumping Horses: Effects of Age, Sex and Breed on the Fei/Wbfsh World Ranking

Keywords: 7SI/Brown bear/harvest/harvest quota/hunting/malme/management/ mortality/population size/trend/ursus arctos

Can trawling effort be identified from satellite-based VMS data?

Traffic Safety Basic Facts Main Figures. Traffic Safety Basic Facts Traffic Safety. Gender Basic Facts Gender

Proposal for a COUNCIL REGULATION. fixing for 2018 the fishing opportunities for certain fish stocks and groups of fish stocks in the Black Sea

Identification of Equidae in the European Union

EU Policy regarding management of Bluetongue disease, prevention and control measures

IMPROVING POPULATION MANAGEMENT AND HARVEST QUOTAS OF MOOSE IN RUSSIA

Changes in speed and efficiency in the front crawl swimming technique at 100m track

DRAFT REPORT. EN United in diversity EN. European Parliament 2017/2120(INI)

Grade: 8. Author(s): Hope Phillips

Screening report Serbia

CARCASS MERIT NON-CONFORMANCE IN THE OK STEER FEEDOUT PROGRAM. S.L. Northcuttl, H.G. Dolezal2, G.A. Highfill3, F.K. Ray4and C.W. Shearharts.

HOME ADVANTAGE IN FIVE NATIONS RUGBY TOURNAMENTS ( )

Main Influences in Modelling and Simulation of Urban Traffic Flows

Understanding the Pattern of Work Travel in India using the Census Data

ABSTRACT. Those five experiment series of research were:

ADVANCED SEAKEEPING COMPUTATION FOR AN FSU SHIP UNDER GIVEN ENVIRONMENTAL CONDITIONS

Saturation flow mathematical model based on multiple combinations of lane groups

A Group of Factors Influencing the Development of the Greeks Volleyball Athletes at School Age

FLOWMETER UNITS FLOWMETER DEVICES, BY-PASS SYSTEMS

EIGHTLIFTING: comparing three editions of the Olympic Games. Antonio Urso

Colored Entrance Treatments for Rural Traffic Calming

Bathing water results 2009 Bulgaria

MAPPING OF RISKS ON THE MAIN ROAD NETWORK OF SERBIA

TECHNICAL AND ECONOMIC EFFICIENCY ESTIMATION OF TRADITIONAL FISHERY BOATS, AT HODEIDA PROVINCE, REPUBLIC OF YEMEN ABSTRACT

Know Your River Dee Salmon & Sea Trout Catchment Summary

STORM FORECASTS: The only independent source of animal health and animal agriculture historical market data and forecasts

The Powerful Sealing Calculation

DEVELOPING THE ABDOMINAL ENDURANCE OF THE UPB STUDENTS BY USING MEANS SPECIFIC TO JUDO IN THE PHYSICAL EDUCATION LESSONS

UNDERSTANDING A DIVE COMPUTER. by S. Angelini, Ph.D. Mares S.p.A.

A new vision for the Birds Directive & The Positive Role of Hunting

Transcription:

Vol. 17, Issue 4, 7 THE DYNAMICS OF PIG CARCASSES CLASSIFICATION IN ROMANIA BETWEEN 2009 5, BY MANUAL METHOD THE ZWEI PUNKTE Mirela CĂRĂTUȘ STANCIU 1, Monica Esperance GĂUREANU 2, Mariana Carmen BURTEA 2, Livia VIDU 3, Iulian VLAD 3, Nicolae CĂRĂTUȘ 3 1 Lucian Blaga University of Sibiu, Faculty of Agricultural Sciences, Food Industry and Environmental Protection, 5-7 Ion Ratiu Street, 550003, Sibiu, Romania, Phone: +40269211338, Mobile:+40744472790, Email: mirela_stanciu2008@yahoo.com, 2 Dunărea de Jos University of Galați, Faculty of Engineering and Agriculture, Research Center and Agriculture Environment Consultance, 29, Calea Călărașilor Street, Brăila, Romania, Phone: 0239-612572, E-mail: moro6769@yahoo.com, 3 University of Agronomic Sciences and Veterinary Medicine of Bucharest, Faculty of Animal Sciences, 59 Mărăști Boulevard, District 1, Bucharest, 011464, liviavidu@gmail.com, vladiul@yahoo.com Corresponding author: mirela_stanciu2008@yahoo.com Abstract This paper presents the analysis of the evolution of pig carcasses classification in Romania by the method: Zwei Punkte (ZP), during 2009-5. This method of classification is generally used in low-capacity slaughterhouses, which in the previous year sacrificed less than 200 pig heads /week. The data were gathered from the national classification commission and from the specialty inspectors. The data were processed, analyzed and interpreted as to the number of pigs carcasses classified by this method. Also, the evolution of the quality of the carcasses classified by manual method ZP was also analyzed. The quality of the carcasses was assessed on the basis of the following indicators: the thickness of the subcutaneous fat layer, the thickness of the Gluteus medius muscle and the percentage of lean meat in the carcass, as well of their correlation. The best quality of carcasses classified by the ZP method was recorded in 4 with an average of 60.0% lean meat. During the analyzed period the carcass quality has a high constancy without any special fluctuations. Key words: carcasses, pig, classification method, quality INTRODUCTION European legislation on the classification of pig carcasses has long been applied. [1,7, 8, 10] In Romania there are used three methods of pig carcasses classification, from which one is a manual method and two use optical probe. The Zwei Punkte (ZP) classification method is a manual grading method of pig carcasses. The accuracy of this manual method depend by the human factor. The method is used only in slaughterhouses which slaughtered in the previous year below the average of 200 pig heads/week. [2,3] MATERIALS AND METHODS Determination of the estimated average percentage of lean meat in the carcasses, according to which the carcass quality class is established, shall be calculated by using the calculation formula: [2,5,6, 12] Y = 50,89767-0,70985 x X1 + 0,26457 x X2, where: Y = the estimated percentage of lean meat in the carcass; X1 = the thickness of the bacon (including rind) above the Gluteus medius muscle, determined to a minimum (mm); X2 = the thickness of the muscle between the medullary canal and the anterior tip of the Gluteus medius in a straight line (mm). This formula was established following the national dissection test. [3,4] RESULTS AND DISCUSSIONS The principal functions of the carcasses classification are to monitor the pig market situation; establish an average price for pig carcasses which can be used for reference price calculations; make price quotations comparable throughout all EU member states. [11] 85

Vol. 17, Issue 4, 7 Analysis of the number of carcasses classified by the Zwei Punkte method The analysis of the number of carcasses classified by this method reflects the development of the pork sector in Romania in the last years. The recorded data regarding on the classification of pork carcasses by the Zwei Punkte method during 2009-5, their number as well as their percentage of the total carcasses classified each year are presented in Table 1. Table 1. Number and weight of carcasses classified in Romania between 2009 and 5 by Zwei Punkte method Year Number of % from total carcasses 2009 426,156 14,9 0 331,227 12,2 1 338,646 11,0 2 238,857 7,1 3 162,166 4,4 4 233,228 5,9 5 175,843 4,3 Source: Own calculation, based on the statistical data from CCC EUROP.RO, 7 [10] and from Classification It was noted that from year to year the percentage of classified carcasses by ZP method decrease from 14.9% (426,156 carcasses) in 2009 to 4.3% (175,843 carcasses) in 5. It can be said that this is a significant reduction. The graphical representation of the classified carcasses by ZP method from the total carcasses classified in 2009-5 is shown in Fig. 1. The constant reduction in the share of carcasses classified by this method shows, that in Romania in recent years the number of slaughtered pigs has increased. At the same time, the number of authorized slaughterhouses remained relatively constant, thus increasing the average slaughtered pigs /week. As a result we can make a conclusion that, the number of abattoirs in which the carcasses classification was replaced the manual method of classification with semiautomatic methods, which used optical probe. At the same time, the precision of the classification operation has increased. Analysis of the average weight of carcasses classified by the ZP manual method during 2009-5 Between 2009-5 the average weight of the carcasses recorded each year of the analyzed period is presented in Table 2 and Figure 2. Table 2. The average weight of the carcasses classified by the Zwei Punckte method, between 2009 and 5 Year 2009 0 1 2 3 4 5 The weight of warm carcas ses 75.5 78.5 75.0 76.8 76.0 76.5 76.5 EUROP.RO, 7 [10] and from Classification CCC Fig. 1. Evolution of the number of pig carcasses classified in Romania between 2009 and 5 (heads) by Zwei Punkte Method Source: own design based on the statistic data from CCC EUROP.RO, 7 and from Classification Fig. 2. Evolution of weight of warm carcasses classified in Romania between 2009 and 5 by Zwei Punkte Method (kg) CCC EUROP.RO, 7 and from Classification It is noted that the average weight of the carcasses classified by this method is constantly maintained. The highest weight was recorded in 0, the only year in which no 86

Vol. 17, Issue 4, 7 financial support was given to the pig breeding sector. The uniformity of the carcasses weight is maintained even though this method is also classified the carcasses obtained from the pigs raised in individual household or from local and traditional breeds like Mangaliṭa and Bazna etc. These local breeds have a great variability of characters (weight, quality, yield, etc.). Analysis of the quality of carcasses classified by the Zwei Punkte method, during 2009-5 The quality of the carcasses is assessed by reference to the average percentage of lean meat estimated from the total carcasses weight. The calculation formula is specific to each grading method and it is used based on the measured thickness values of subcutaneous fat and Gluteus medius muscle. The average thickness of the muscle (Gluteus medius) determined in each year of the analyzed period is as follows: There is an improvement in carcasses quality over the analyzed period, the average thickness of the bacon decreasing from 14.2 mm in 0 to 12.9-13.2 mm in the years 4 and 5. Table 3. The average thickness of the muscle (Gluteus medius) for the carcasses graded using ZP method, between 2009 and 5 (mm) 2009 0 1 2 3 4 5 The thickn ess of the bacon layer 13.4 14.2 13.5 13.3 13.1 12.9 13.2 CCC EUROP.RO, 7 [10] and from Classification with the manual ZP method are shown in the table 4 and figure 4. 5 4 3 2 1 0 2009 Fig. 3. Evolution of the tickness of bacon layer at the carcasses classified in Romania between 2009 and 5 by Zwei Punkte Method (mm) CCC EUROP.RO, 7 and from Classification Table 4. The thickness of the muscle Gluteus medius measured by Zwei Punkte method of classification, between 2009 and 5 (mm) Year The thicknes s of the muscle 12 12,5 13 13,5 14 14,5 200 9 0 1 2 3 4 5 68.8 69.1 69.1 67.5 69.2 69.2 67.8 CCC EUROP.RO, 7 [10] and from Classification The thickness of the bacon in the calculation formula of lean meat in the carcass has a greater influence than the thickness of the muscle. The thickness of the bacon is inversely proportional to the percentage of lean meat. The second element underlying the determination of the carcass quality is the thickness of the muscle. In the analyzed period, the mean thicknesses of the Gluteus medius muscle thickness measured Fig. 4. Evolution of the muscle Gluteus medius thickness at the carcasses classified in Romania between 2009 and 5 by Zwei Punkte Method (mm) CCC EUROP.RO, 7 and from Classification The value of the thickness of the muscle influences proportionally the percentage of lean meat in the carcass. If this indicator has a larger size, it is obtained a higher quality of the carcasses. 87

Vol. 17, Issue 4, 7 Regarding the uniformity of this parameter, it was observed that in 2 the lowest value was recorded (67.5 mm), and in the years 3 and 4 the average thickness of the muscle had the highest value, namely 69.2 mm. The values thus determined indicate a fairly high constancy of the thickness of the muscle. The estimated percentage of lean meat in the carcass is a criterion according to which it is determined to fit into the corresponding quality class of the carcasses. It is based on the values and correlations between this two mentioned and analyzed parameters. It is important the relationship between them. Also it can be seen in table 5 and figure 5, there are differences in carcasses quality even if the same annual mean thickness of the Gluteus medius muscle is recorded. However, even if in two consecutive years the average thickness of the muscle was the same, namely 69.1 mm both in 0 and in 1, the carcasses quality was higher in 1. This is because the average thickness of bacon was lower in 1 by 0.7 mm than in 0. A similar situation was found also in the years 3 and 4, when at identical values of the thickness of the muscle, different values of the thickness of the subcutaneous fat layer were recorded. It is also noted, that the best quality report was recorded in 4. In this year, the bacon layer had the lowest average of 12.9 mm and it was correlated with the highest value of the thickness of the muscle, 69.2 mm. Fig. 5. Uniformity of thickness of the bacon correlated with the thickness of the muscle (Gluteus medius) at the carcasses classified in Romania between 2009 and 5 by Zwei Punkte Method (mm) Source: own design based on the statistic data from CCC EUROP.RO, 7 and from Classification Table 5. Comparative status of uniformity of thickness of subcutaneous fat and Gluteus Medius muscle (mm) % of lean meat in the 59.6 59.1 59.6 59.3 59.9 60 59.5 carcass es CCC EUROP.RO, 7 [10] and from Classification Table 6. The average annual percentage of lean meat recorded between 2009 and 5 in carcasses classified by the Zwei Punkte method Year Fat tickness Muscle (Gluteu s medius) tickness 200 9 0 1 Year 2009 0 1 2 3 4 5 2 3 4 5 13.4 14.2 13.5 13.3 13.1 12.9 13.2 68.8 69.1 69.1 67.5 69.2 69.2 67.8 CCC EUROP.RO, 7 [10] and from Classification As a result of the estimated average percentage of lean meat in the carcass based on the calculation formula and the values determined by the ZP method of the two parameters (thickness of subcutaneous fat and Gluteus medius muscle), it was recorded the evolution presented in Fig.6. Fig. 6. The average annual percentage of lean meat recorded between 2009 and 5 at carcasses classified by the Zwei Punkte method CCC EUROP.RO, 7 and from Classification. CONCLUSIONS The best quality of carcasses classified by the ZP method was recorded in 4 with an 88

Vol. 17, Issue 4, 7 average of 60.0% lean meat, which is also confirmed by the separate analysis of the determined parameters. In this year, the lowest value of the thickness of the fat layer and the highest value of the thickness of the muscle was recorded. Due to the fact that the maximum difference of the lean meat percentage determined by the Zwei Punkte manual method is only 0.9, between the minimum of 59.1% recorded in 0 and 60.0% in the year 4, while in the other years the differences were insignificant, it is appreciated that during the analyzed period the carcass quality has a high constancy. No special fluctuations were recorded. Being a manual grading method by which measurements were made with the ruler between certain anatomical parts of the carcasses, there may also be an influence of the human factor. The human factor can influence the accuracy of the workmanship. REFERENCES [1] Causeur, D., Daumas, G., Dhorne, T., Engel, B., Font, I, Fournols, M., Hojsgaard, S., 2003, Statistical handbook for assesing pig classification methods: Recommendations from the EUPIGCLASS project group. EC working document. [2]Comisia de clasificare a carcaselor de porcine, bovine si ovine din Romania, CCC EUROP, Clasificarea carcaselor de porcine in Romania, http://www.ccceurop.ro, Accessed on the 10 th of Octombre 7. [3]Commision Regulation (EC) N o 3127 / 94 of 20 December 1994, Amending Regulation (EEC) N o 2967/ 85 laying down detailed rules for the application of the Community scale for grading pig carcasses. OJ L 217 of 08.08.2006, 6-7. [4] Commision Regulation (EEC) N o 2967 / 85 of 24 October 1985, Laying down detailed rules for the application of the Community scale for grading pig carcasses. OJ L 285 of 25.10.1985, 39-40 [5]Council Regulation (EEC) N o 3220 / 84 of 13 November 1984, Determining the Community scale for grading pig carcasses. OJ L 301 of 20.11.1984, 1-3. [6]Găureanu, M., 6, Cercetări privind uniformitatea clasificării carcaselor de porcine din România, în contextul dezvoltării sustenabile a sectorului porcin, Lucrare de disertație, Universitatea Lucian Blaga din Sibiu. [7]Găureanu, M. E., Stanciu, M. A., Labă, M., 4, Pig carcass classification in Romania: a dissection trial for the approval of the Fat-o-Meat er and of the Optigrade-Pro equipment. Scientific Papers. Series "Management, Economic Engineering in Agriculture and rural development", Vol. 14(4), 99-106. [8] HYBU CIG CYMRU - Meat Promotion Wales (HCC). Carcass classification pork, hccmpw.org.uk/market_prices/industryinformation, Accessed on the 10 th of October 7. [9]Jaba, E., Grama, A., 2004, Statistical Analysis with SPSS under Windows. [10]Jansons, I., Strazdina, V., Anenkova, R., Pule, D., Skadule, I., Melece, L., 6, Development of new pig carcasses classification formulas and changes in the lean meat content in Latvian pig population, Agronomy Research 14(x), xx xx, 9 pages, https://www.bior.lv/sites/default/files/publikacijas/l_a_ 230_Development%20of%20new%20pig%20carcasses %20classification.pdf, Accessed on the 3rd of September 7 [11]Ordin MADR 839/4 aprobarea normelor tehnice de clasificare a carcaselor de porci, art 1 alin (2). https://legeaz.net/monitorul-oficial-394-4/ordinulmadr-839-4, Accessed on the 5th October 7. [12]Walstra, P., Merkus, G.S.M., 1996, Procedure for assessement of the lean meat percentage as a consequence of the new EU reference dissection method in pig carcass classification. Report ID-DLO 96.014. 89

Vol. 17, Issue 4, 7 90