Identification and selection of animal health and food safety-related risk factors to be included in the Canadian Food Inspection Agency's risk assessment model for livestock feed mills
Introduction
Livestock feed plays a crucial role in the global agricultural and agri-food industries, ensuring the constant supply of safe products of animal origin for human consumption, the health and welfare of livestock and the economic sustainability of animal production (FAO and IFIF, 2010). Over the last two decades, the feed sector has become increasingly important, as the worldwide socio-economic changes has led to an intensification of livestock production systems (Crump, Griffin, & Angulo, 2002). In 2016, the feed industry generated an estimated global annual turnover of over US $400 billion (IFIF, 2017). In Canada, the total livestock feed production surpasses 26 million tonnes annually and the Canadian commercial feed industry generates a total revenue of over $4 billion per year (ANAC, 2019). Livestock feed represents the starting point of the food safety supply chain in the farm-to-table continuum (Crump et al., 2002). Livestock feed can be contaminated with biological, chemical, and physical hazards from inherent toxicants or those introduced during harvesting of the raw ingredients, manufacturing and processing, storage or transport (Fink-Gremmels, 2012; Maciorowski, Herrera, Kundinger, & Ricke, 2006). Indeed, concerns with feed safety were raised globally after the identification of hazardous substances [e.g. dioxins, aflatoxin M1 (AFM1)] in food of animal origin derived from livestock that consumed contaminated feed (Campagnollo et al., 2016; Fink-Gremmels, 2012). It is important to mention that the food safety risks to humans associated with feed has also gained importance, particularly, after the first identification in 1986 of a group of neurodegenerative infective agents (prions) responsible for transmissible animal spongiform encephalopathies (TSEs) such as the bovine spongiform encephalopathy (BSE) in cattle (Bhunia, 2018).
In Canada, the Canadian Food Inspection Agency (CFIA) administers the Feeds Act and the Health of Animals Act, and their associated regulations, which govern the manufacture, sale and importation of livestock feeds. The CFIA verifies that livestock feeds are safe for animals, humans, and the environment, that they are effective for their intended purpose, and are labelled appropriately (Government of Canada, 1985). As part of its commitment to continuous improvement, the CFIA is developing a systematic evidence-based approach to improve its management of risk along the food supply chain. In this context, the CFIA has developed two quantitative risk assessment models named the Establishment-based Risk Assessment model for food establishments (ERA-Food) (Racicot et al., 2018, 2019; Zanabria et al., 2018, 2019), and for hatcheries (ERA-H) (Racicot et al., 2020a, 2020b). Following the same principles of other risk assessment models, the CFIA is currently developing an Establishment-based Risk Assessment model for livestock feed mills (ERA-Feed Mill) to assess both animal health and the food safety risks (i.e.: referred to as feed safety risks for the remainder of the manuscript) associated with feed mills to support a risk-based decision making in the feed sector encompassing terrestrial and aquatic livestock species. According to the Canadian Feeds Act, an establishment refers to any place, including a conveyance, where a feed is manufactured, stored, packaged or labelled. Feed establishments consist of commercial feed mills, mixed feed manufacturers, single ingredient feed manufacturers, on-farm feed mills, rendering plants, retail outlets, and third-party conveyances. The ERA-Feed Mill model is a tool intended to guide and support the CFIA's risk management strategy, that includes but is not limited to the allocation of CFIA inspection resources based on risks for commercial feed mills and on-farm feed mills. In fact, the management question related to the development of this model was: How to identify Feed Mills that are most at risk to generate issues related to animal health and food safety. The initial step in the ERA-Feed Mill model's development process is to identify the risk factors to be included in the algorithm. Therefore, the present study aimed at 1) identifying and selecting feed safety-related risk factors to be included in the ERA-Feed Mill model, and 2) defining the assessment criteria to evaluate each risk factor based on common practices found in the Canadian feed industry.
Section snippets
Materials and methods
The ERA-Feed Mill model development began in July 2018 by forming a technical working group (TWG), consisting of 14 members from CFIA (nine veterinarians, one statistician, one food safety specialist, two feed program specialists and one toxicologist) as well as four researchers from the Université de Montréal. The TWG defined the core research questions to guide the project progress and conducted the initial work related to each step of the model development process. In addition, a Scientific
Results
Initially, a total of 913 non-duplicated papers were found using the terms listed in Table 1. After applying the inclusion and exclusion criteria described previously (Steps 2 and 3), 118 records remained eligible for consideration (Fig. 1). Based on the information and data available from these records, a list of 21 risk factors, along with their assessment criteria, was identified: two inherent risk factors, eight mitigation factors and 11 compliance factors (Table 2, Table 3, Table 4). This
Discussion
The aim of the current study was to identify relevant risk factors and assessment criteria to be included in the risk assessment model for commercial feed mills and on-farm feed mills (Government of Canada, 2020). The output of this model will be used as an important factor in the allocation of CFIA inspection resources based on feed safety risks. The innovative aspect of the ERA-Feed Mill model is that it covers both animal health and food safety risks, which represents a unique approach to
Conclusion
Results of the current study identified 34 risk factors for inclusion in the CFIA's ERA-Feed Mill model for assessing the feed safety risks associated with commercial and on-farm feed mills in Canada. It is also the authors' intent to provide regulatory agencies and feed standard stakeholders from other jurisdictions with a state-of-the-art set of factors to consider in feed safety assessment. As a next step, selected assessment criteria will be quantified as to their relative individual or
CRediT authorship contribution statement
Mohamed Rhouma: Conceptualization, Methodology, Data curation, Writing - original draft, Writing - review & editing. Virginie Lachapelle: Conceptualization, Methodology, Data curation, Writing - review & editing. Geneviève Comeau: Conceptualization, Methodology, Data curation, Writing - review & editing. Sylvain Quessy: Conceptualization, Methodology, Supervision, Writing - review & editing. Romina Zanabria: Conceptualization, Methodology, Writing - review & editing. France Provost:
Declaration of competing interest
All authors declare that there is no actual or potential conflict of interest associated with this research.
Acknowledgement
This research was made possible through the help and support from the Canadian Food Inspection Agency. The authors would like to thank CFIA colleagues, Jennifer Kormos, Eric T. Ward-Bellehumeur, and Shawn MacEachern, for their contribution in the revision of the list of risk factors and criteria prior to submission.
References (120)
- et al.
New parameters to evaluate forage quality
Postharvest Biology and Technology
(2006) - et al.
Detection of bovine central nervous system tissues in rendered animal by-products by one-step real-time reverse transcription PCR assay
Journal of Food Protection
(2014) Residual efficacy of deltamethrin as assessed by rapidity of knockdown of Tribolium castaneum on a treated surface: Temperature and seasonal effects in field and laboratory settings
Journal of Stored Products Research
(2018)- et al.
Simultaneous analysis of historical, emerging and novel brominated flame retardants in food and feed using a common extraction and purification method
Chemosphere
(2018) - et al.
Survival characteristics of monophasic Salmonella Typhimurium 4,[5],12:i:- strains derived from pig feed ingredients and compound feed
Food Control
(2016) - et al.
Salmonella occurrence and Enterobacteriaceae counts in pig feed ingredients and compound feed from feed mills in Ireland
Preventive Veterinary Medicine
(2015) - et al.
The occurrence and effect of unit operations for dairy products processing on the fate of aflatoxin M1: A review
Food Control
(2016) - et al.
Survival of Enterococcus faecalis OG1RF:pCF10 in poultry and cattle feed: Vector competence of the red flour beetle, Tribolium castaneum (Herbst)
Journal of Food Protection
(2010) - et al.
Molecular characterization of antibiotic resistant and potentially virulent enterococci isolated from swine farms and feed mills
Journal of Stored Products Research
(2018) - et al.
Evaluating chemical mitigation of Salmonella Typhimurium ATCC 14028 in animal feed ingredients
Journal of Food Protection
(2016)
Analytical strategies for the early quality and safety assurance in the global feed chain Approaches for nitrogen adulterants in soybean meal and mineral and transformer oils in vegetable oils
Trends in Analytical Chemistry
NIR fingerprint screening for early control of non-conformity at feed mills
Food Chemistry
Inputs of polychlorinated biphenyl residues in animal feeds
Food Chemistry
Introduction to animal feed contamination
Standard and Light-Cycler PCR methods for animal DNA species detection in animal feedstuffs
Innovative Food Science & Emerging Technologies
Fresh steam-flaked corn in cattle feedlots is an important site for fecal coliform contamination by house flies
Journal of Food Protection
How does Sweden control Salmonella before it enters the food chain?
Evaluation of a biological pathogen decontamination protocol for animal feed mills
Journal of Food Protection
Salmonella in commercially manufactured feeds
Poultry Science
Formation of polychlorinated dibenzo-p-dioxins/dibenzofurans (PCDD/fs) from a refinery process for zinc oxide used in feed additives: A source of dioxin contamination in Chilean pork
Chemosphere
Identification of bovine-specific DNA in feedstuffs
Journal of Food Protection
A cross-sectional study of bacterial contamination in plant-protein feed from feed stores in Northern Virginia and Maryland
Animal Feed Science and Technology
Distribution of Salmonella clonal groups in four Brazilian feed mills
Food Control
Quantifying the impact of food safety criteria included in the Canadian Food Inspection Agency risk assessment model for food establishments through expert elicitation
Food Control
Identification of risk factors to be considered for food establishments' risk assessment models
Microbial Risk Analysis
Identifying animal species in NIR hyperspectral images of processed animal proteins (PAPs): Comparison of multivariate techniques
Chemometrics and Intelligent Laboratory Systems
Trap catches of stored-product insects before and after heat treatment in a pilot feed mill
Journal of Stored Products Research
Spatio-temporal distribution of stored-product insects around food processing and storage facilities
Agriculture, Ecosystems & Environment
A feasibility study of non-targeted adulterant screening based on NIRM spectral library of soybean meal to guarantee quality: The example of non-protein nitrogen
Food Chemistry
Chromium concentrations in ruminant feed ingredients
Journal of Dairy Science
Co-occurrence of mycotoxins in swine feed produced in Portugal
Mycotoxin Research
Surveillance data highlights feed form, biosecurity, and disease control as significant factors associated with Salmonella infection on farrow-to-finish pig farms
Frontiers in Microbiology
Detection of banned meat and bone meal in feedstuffs by near-infrared microscopic analysis of the dense sediment fraction
Analytical and Bioanalytical Chemistry
Regularities of fungi and mycotoxins accumulation in feeding grain
Diagnostic value of tissue monensin concentrations in horses following toxicosis
Journal of Veterinary Diagnostic Investigation
Safety and quality assurance for cereals for animal feed
Discriminating animal fats and their origins: Assessing the potentials of Fourier transform infrared spectroscopy, gas chromatography, immunoassay and polymerase chain reaction techniques
Analytical and Bioanalytical Chemistry
Foodborne microbial pathogens: Mechanisms and pathogenesis
Validation of a near infrared microscopy method for the detection of animal products in feedingstuffs: Results of a collaborative study
Food Additives & Contaminants Part A Chem Anal Control Expo Risk Assess
Investigation of biosecurity risks associated with the feed delivery: A pilot study
Canadian Veterinary Journal-Revue Veterinaire Canadienne
Investigating the introduction of porcine epidemic diarrhea virus into an Ohio swine operation
BMC Veterinary Research
The concentration of strontium and other minerals in animal feed ingredients
Journal of Applied Animal Nutrition
Efficacy of European starling control to reduce Salmonella enterica contamination in a concentrated animal feeding operation in the Texas panhandle
BMC Veterinary Research
Tiamulin and narasin toxicosis in nursery pigs
Journal of Swine Health and Production
Stored-product insects carry antibiotic-resistant and potentially virulent enterococci
FEMS Microbiology Ecology
Multi-drug UPLC-MS/MS method to quantify antimicrobials in feedingstuffs at carry-over level
Rapid Communications in Mass Spectrometry
Safety programs for the feed industry: Characterization and perceived benefits of the implementation
Gestão & Produção
Potential contaminants agents in feed mills: Risks to the health of the handlers
Sources of Salmonella on broiler carcasses during transportation and processing: Modes of contamination and methods of control
Journal of Applied Microbiology
Usefulness of near infrared reflectance (NIR) spectroscopy and chemometrics to discriminate between fishmeal, meat meal and soya meal samples
Ciencia e Investigacian Agraria
Cited by (8)
Rapid detection and identification of objects using a self-designed methodology based on LIBS and PCA-DVSM – taking rosewood for example
2021, OptikCitation Excerpt :In industrial production and scientific research, there often exist objects with too similar characteristics such as appearance and chemical composition, which are quite difficult for people to identify them directly or will cost much time for some existing techniques [1]. For example, detecting and identifying different types of pollutants and distinguish counterfeit harmful food from the hygiene and safety one is tricky but urgent [2,3]. Hence, the rapid detection and identification of similar objects are significant to solve these problems.
Research on food quality chain risk propagation with multilayer coupling network
2022, Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and PracticeSafety and quality of feed for piglets
2021, IOP Conference Series: Earth and Environmental Science