Survey of mislabelling across finfish supply chain reveals mislabelling both outside and within Canada

Shehata, Hanan R.; Bourque, Danielle A.; Steinke, Dirk; Chen, Shu; Hanner, Robert

doi:10.1016/j.foodres.2018.12.047

Cited by 48 publications

(24 citation statements)

References 25 publications

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“…A slightly higher rate of 12.9% was detected in a 3-year study carried out to detect species mislabeling in the Greek Market (Minoudi et al, 2020), and a slightly lower rate was detected in Spain which found a mislabeling rate of 6.2% (Helgoe et al, 2020). In Canada, a recent survey sampled 12 target marine species (n = 203) from retailers, importers, and processing plants in Ontario and found that 32% were mislabeled at some point during production (Shehata et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

“…The current method for detection of species substitution is DNA barcoding. This technique is relatively straightforward and based on sequencing the partial cytochrome c oxidase subunit I (COI) gene, which allows accurate species identification (Hebert et al, 2003;Staffen et al, 2017;Shehata et al, 2019). Detection of geographic fraud is more difficult -and thus fewer studies to determine the prevalence of this type of food fraud have been conducted.…”

Section: Introductionmentioning

confidence: 99%

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Exploring the Potential of the Microbiome as a Marker of the Geographic Origin of Fresh Seafood

et al. 2020

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Geographic food fraud-misrepresenting the geographic origin of a food item, is very difficult to detect, and therefore this type of fraud tends to go undetected. This potentially negatively impacts the health of Canadians and economic success of our seafood industry. Surveillance studies have shown that up to a significant portion of commercially sold seafood items in Canada are mislabeled or otherwise misrepresented in some way. The current study aimed to determine if the microbiome of fresh shellfish could be used as an accurate marker of harvest location. Total DNA was extracted from the homogenate of 25 batches of fresh soft-shell clams (Mya arenaria) harvested in 2015 and 2018 from two locations on the East Coast of Canada and the microbiome of each homogenate was characterized using 16S rRNA targeted amplicon sequencing. Clams harvested from Nova Scotia in both years had a higher abundance of Proteobacteria and Acidobacteria (p < 0.05), but a lower abundance of Actinobacteria (p < 0.05) than those from Quebec. Alpha-diversity also differed significantly between sites. Samples harvested from Nova Scotia had greater diversity (p < 0.0001) than those from Quebec. Beta-diversity analysis showed that the microbial community composition was significantly different between the samples from Nova Scotia and Quebec and indicated that 16S rRNA targeted amplicon sequencing might be an effective tool for elucidating the geographic origin of unprocessed shellfish. To evaluate if the microbiome of shellfish experiences a loss of microbial diversity during processing and storagewhich would limit the ability of this technique to link retail samples to geographic origin, 10 batches of retail clams purchased from grocery stores were also examined. Microbial diversity and species richness was significantly lower in retail clams, and heavily dominated by Proteobacteria, a typical spoilage organism for fresh seafood, this may make determining the geographic origin of seafood items more difficult in retail clams than in freshly harvested clams.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Exploring the Potential of the Microbiome as a Marker of the Geographic Origin of Fresh Seafood

et al. 2020

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show abstract

“…A recent study of fish samples collected from retailers, processors, and importers in Southern Ontario in 2016 by Canadian Food Inspection Agency (CFIA) inspectors, found 32.32% of the fish samples to be mislabeled (Shehata, Bourque, Steinke, Chen, & Hanner, 2019). A recent study of fish samples collected from retailers, processors, and importers in Southern Ontario in 2016 by Canadian Food Inspection Agency (CFIA) inspectors, found 32.32% of the fish samples to be mislabeled (Shehata, Bourque, Steinke, Chen, & Hanner, 2019).…”

Section: Trustmentioning

confidence: 99%

“…While by no means unique to Canada, mislabeling of seafood has garnered a fair bit of attention in the Canadian media. A recent study of fish samples collected from retailers, processors, and importers in Southern Ontario in 2016 by Canadian Food Inspection Agency (CFIA) inspectors, found 32.32% of the fish samples to be mislabeled (Shehata, Bourque, Steinke, Chen, & Hanner, 2019). In a recent consumer survey conducted in collaboration with colleagues at the University of Saskatchewan, we probed Canadian consumer confidence in the accuracy of seafood labeling.…”

Section: Trustmentioning

confidence: 99%

Heterogeneous consumers and differentiated food markets: Implications for quality signaling in food supply chains

Hobbs

2019

Canadian J Agri Economics

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The Fellow's address begins by noting several recent consumer food trends and the changing way in which we perceive value-added. I then focus on the topic of heterogeneity in consumer behavior, reviewing contributions from the literature that enhance our ability as economists to model and measure heterogeneity. Supply chain responses to consumer heterogeneity are examined, including a discussion of information flows within supply chains and the role of certification and verification. I close with a consideration of policy implications flowing from consumer heterogeneity. K E Y W O R D Sconsumer behavior, heuristics, trust, value-added, values, verification Ce discours de Fellow souligne plusieurs tendances récentes en matière d'aliments destinés aux consommateurs et l'évolution de la manière dont nous percevons la valeur ajoutée. Je me concentre ensuite sur l'hétérogénéité du comportement des consommateurs, en passant en revue les contributions de la littérature qui renforcent notre capacité, en tant qu'économistes, à modéliser et à mesurer l'hétérogénéité. Les réponses des chaînes d'approvisionnement à l'hétérogénéité des consommateurs sont examinées, notamment une discussion sur les flux d'informations au sein des chaînes d'approvisionnement et le rôle de la certification et de la vérification. Je termine sur un examen des implications politiques découlant de l'hétérogénéité des consommateurs. drawn from the behavioral economics literature and a sampling of empirical contributions from the agricultural economics literature, with a focus on the role of trust. 1 I endeavor to answer the questions: what have we learned about how consumers make 1 Trust has been shown to have an important influence in food purchase decisions, particularly in the presence of information asymmetry with respect to food safety, food quality, or new food technologies (Hobbs & Goddard, 2015).

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“…Most work to date has focused on wild-caught fishery population impacts, with multiple researchers and practitioners hypothesizing that mislabeling generates negative population impacts (7)(8)(9)(10) and therefore can threaten sustainable development goal targets (11). A primary mechanism through which mislabeling is hypothesized to result in negative population impacts is enabling the sale of illegal, unreported, and unregulated (IUU) products that could not be sold otherwise, thus reducing the health of fish populations (12)(13)(14)(15). Another mechanism through which negative impacts could occur is the substitution of higher-value products with lower-value products that may have less healthy populations or are more poorly managed (8,14).…”

mentioning

confidence: 99%

Consequences of seafood mislabeling for marine populations and fisheries management

Kroetz

Luque²,

Gephart

et al. 2020

Proc. Natl. Acad. Sci. U.S.A.

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Over the past decade, seafood mislabeling has been increasingly documented, raising public concern over the identity, safety, and sustainability of seafood. Negative outcomes from seafood mislabeling are suspected to be substantial and pervasive as seafood is the world’s most highly traded food commodity. Here we provide empirical systems-level evidence that enabling conditions exist for seafood mislabeling in the United States (US) to lead to negative impacts on marine populations and support consumption of products from poorly managed fisheries. Using trade, production, and mislabeling data, we determine that substituted products are more likely to be imported than the product listed on the label. We also estimate that about 60% of US mislabeled apparent consumption associated with the established pairs involves products that are exclusively wild caught. We use these wild-caught pairs to explore population and management consequences of mislabeling. We find that, compared to the product on the label, substituted products come from fisheries with less healthy stocks and greater impacts of fishing on other species. Additionally, substituted products are from fisheries with less effective management and with management policies less likely to mitigate impacts of fishing on habitats and ecosystems compared with the label product. While we provide systematic evidence of environmental impacts from food fraud, our results also highlight the current challenges with production, trade, and mislabeling data, which increase the uncertainty surrounding seafood mislabeling consequences. More integrated, holistic, and collaborative approaches are needed to understand mislabeling impacts and design interventions to minimize mislabeling.

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Survey of mislabelling across finfish supply chain reveals mislabelling both outside and within Canada

Cited by 48 publications

References 25 publications

Exploring the Potential of the Microbiome as a Marker of the Geographic Origin of Fresh Seafood

Exploring the Potential of the Microbiome as a Marker of the Geographic Origin of Fresh Seafood

Heterogeneous consumers and differentiated food markets: Implications for quality signaling in food supply chains

Consequences of seafood mislabeling for marine populations and fisheries management

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