Bayesian network as an aid for Food Chain Information use for meat inspection

Analysis of bovine postmortem condemnation data in France: Contributions from a comprehensive and standardised information system at the slaughterhouse

BACKGROUND

The condemnation of carcases and offal unfit for human consumption is a regulatory requirement at the slaughterhouse. Condemnation data, if comprehensive and standardised, can be a valuable source of information for risk-based inspection and decision making.

METHODS

The aim of this study was to analyse postmortem condemnation data that were recorded in all bovine slaughterhouses in mainland France from 1 January 2016 to 31 December 2020 in a comprehensive and standardised information system. The rates of and reasons for condemnation, as well as factors influencing rate variation, were investigated through descriptive analysis and multivariable logistic regression models.

RESULTS

The global, total and partial condemnation rates were 4.5%, 0.7% and 3.8% for adult cattle and 1.4%, 0.3% and 1.1% for calves, respectively. Reasons for condemnation varied with the animal category; for example, the three main reasons for total condemnation in adult cattle were serous infiltration of connective tissue (49% of condemned animals), congestive peritonitis (12.2%) and fibrinous peritonitis (10.9%), whereas the top three reasons for partial condemnation were unique abscess (21.9%), haemorrhagic infiltration (20.6%) and muscular sclerosis (17.4%). Condemnation rates were influenced by animal-related factors (sex, age, type of breed) and slaughterhouse-related factors (status, type, slaughter volume).

CONCLUSION

Our findings could usefully contribute to the continuous improvement of the harmonisation of inspection decisions and support the risk manager's strategy in the modernisation of official controls at the slaughterhouse.

Food Chain Information: Data Quality and Usefulness in Meat Inspection in Portugal

Food chain information (FCI) is a mandatory component of meat inspection in the European Union. In Portugal there has been no assessment of FCI regarding risk-based meat inspection. The goal of the present study was to assess the quality and the usefulness of data provided by farmers. A total of 1,694 reports (989 for bovine animals, 575 for swine, and 130 for small ruminants) submitted to nine red meat slaughterhouses between September 2015 and January 2017 were analyzed. These reports covered a total of 79,889 animals. Overall, information was provided for the majority of the general identification items. To assess the quality of the information on health status, medication, disease occurrence, diagnostic tests, and results of previous ante- and postmortem exams, responses were classified as plausible, "nothing to declare," invalid, and nonresponse. Plausible information was provided by farmers on health status, medication, tests, and diseases on 82.7, 24.6, 5.4, and 0.1% of the FCI forms, respectively. More than 70% of the responses in all categories except health status were "nothing to declare." In pigs, when comparing ante- and postmortem inspection results with the corresponding FCI, no relevant contribution of the FCI was observed. Inaccurate or irrelevant information was provided for the majority of the detailed questions, impeding the formulation of appropriate risk-based meat inspection decisions. Farmers seem to have difficulty providing specific information. Better forms and better training are needed. Information on the prevalence of biological hazards relevant to public health currently is not available. Our results support the need to improve the systems used to obtain and integrate relevant information from the farm to the slaughterhouse.

Current food chain information provides insufficient information for modern meat inspection of pigs

Meat inspection now incorporates a more risk-based approach for protecting human health against meat-borne biological hazards. Official post-mortem meat inspection of pigs has shifted to visual meat inspection. The official veterinarian decides on additional post-mortem inspection procedures, such as incisions and palpations. The decision is based on declarations in the food chain information (FCI), ante-mortem inspection and post-mortem inspection. However, a smooth slaughter and inspection process is essential. Therefore, one should be able to assess prior to slaughter which pigs are suitable for visual meat inspection only, and which need more profound inspection procedures. This study evaluates the usability of the FCI provided by pig producers and considered the possibility for risk ranking of incoming slaughter batches according to the previous meat inspection data and the current FCI. Eighty-five slaughter batches comprising 8954 fattening pigs were randomly selected at a slaughterhouse that receives animals from across Finland. The mortality rate, the FCI and the meat inspection results for each batch were obtained. The current FCI alone provided insufficient and inaccurate information for risk ranking purposes for meat inspection. The partial condemnation rate for a batch was best predicted by the partial condemnation rate calculated for all the pigs sent for slaughter from the same holding in the previous year (p<0.001) and by prior information on cough declared in the current FCI (p=0.02) statement. Training and information to producers are needed to make the FCI reporting procedures more accurate. Historical meat inspection data on pigs slaughtered from the same holdings and well-chosen symptoms/signs for reporting, should be included in the FCI to facilitate the allocation of pigs for visual inspection. The introduced simple scoring system can be easily used for additional information for directing batches to appropriate meat inspection procedures. To control the main biological public health hazards related to pork, serological surveillance should be done and the information obtained from analyses should be used as part of the FCI.

Contribution of Meat Inspection to the surveillance of poultry health and welfare in the European Union

In the European Union, Meat Inspection (MI) aims to protect public health by ensuring that minimal hazardous material enters in the food chain. It also contributes to the detection and monitoring of animal diseases and welfare problems but its utility for animal surveillance has been assessed partially for some diseases only. Using the example of poultry production, we propose a complete assessment of MI as a health surveillance system. MI allows a long-term syndromic surveillance of poultry health but its contribution is lowered by a lack of data standardization, analysis and reporting. In addition, the probability of case detection for 20 diseases and welfare conditions was quantified using a scenario tree modelling approach, with input data based on literature and expert opinion. The sensitivity of MI appeared to be very high to detect most of the conditions studied because MI is performed at batch level and applied to a high number of birds per batch.