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Liu J, Pannier L, Ellies-Oury MP, Legrand I, Noel F, Sepchat B, Prache S, Pethick D, Hocquette JF. French consumer evaluation of eating quality of Angus x Salers beef: Effects of muscle cut, muscle slicing and ageing. Meat Sci 2023; 197:109079. [PMID: 36563497 DOI: 10.1016/j.meatsci.2022.109079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2022] [Revised: 11/04/2022] [Accepted: 12/12/2022] [Indexed: 12/23/2022]
Abstract
Based on the Meat Standards Australia (MSA) methodology, the objectives of this study were to evaluate the eating quality of grass-fed Angus x Salers beef by French consumers, across different muscle cuts (m. triceps brachii caput longum, m. longissimus dorsi et thoracis and m. rectus abdominis), ageing times (5 and 14 days) and muscle slicing and grilling methods (being distinguished by 2 different sides on the grill), and to further quantify whether the MSA model could predict the eating quality of the meat produced by these lean crossbred animals. The results showed that French consumers can discern significant differences in eating quality traits across muscle cuts but not between ageing times and muscle slicing methods. In this study, the accuracy of eating quality score (MQ4)-assigned MSA grade was 64.5%. Due to the lack of MSA data on these lean crossbred animals, the prediction of eating quality from carcass characteristics was less accurate than usual. However, these results do indicate that the MSA sensory testing protocol, the MQ4 calculation and the MSA quality grades could be used to support a consumer-based quality grading system in France.
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Affiliation(s)
- Jingjing Liu
- INRAE, Clermont-Ferrand, VetAgro Sup, UMR1213 Herbivores, F-63122 Saint-Genès-Champanelle, France
| | | | - Marie-Pierre Ellies-Oury
- INRAE, Clermont-Ferrand, VetAgro Sup, UMR1213 Herbivores, F-63122 Saint-Genès-Champanelle, France; Bordeaux Sciences Agro, 1 cours du Général de Gaulle, CS 40201, 33175 Gradignan, France
| | | | - Faustine Noel
- Institut de l'Elevage, 14949 Cedex 9 Caen, Normandie, France
| | | | - Sophie Prache
- INRAE, Clermont-Ferrand, VetAgro Sup, UMR1213 Herbivores, F-63122 Saint-Genès-Champanelle, France
| | - David Pethick
- Food Futures Institute, Murdoch University, Perth 6150, Australia
| | - Jean-François Hocquette
- INRAE, Clermont-Ferrand, VetAgro Sup, UMR1213 Herbivores, F-63122 Saint-Genès-Champanelle, France.
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Xie Y, Su Y, Li F. The Evolutionary Game Analysis of Low Carbon Production Behaviour of Farmers, Government and Consumers in Food Safety Source Governance. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:12211. [PMID: 36231515 PMCID: PMC9564775 DOI: 10.3390/ijerph191912211] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Revised: 08/26/2022] [Accepted: 09/02/2022] [Indexed: 06/16/2023]
Abstract
Whether the quality of agricultural products is safe or not is related to issues of food safety and low carbon production in agriculture. Based on evolutionary game theory, this paper establishes a game model among government, farmers and consumers and analyzes the dynamic evolutionary process and evolutionary stable strategies of the major stakeholders. The results show that: (i) government subsidy coefficient, farmers' penalty coefficient for not producing, consumer trust coefficient and willingness to pay carbon labelled agricultural products premium are positively related to farmers' adoption of low-carbon production behaviour, and fraud penalty coefficient and farmers' cost of adopting low-carbon production technology are negatively related; (ii) farmers' sensitivity to government regulation policies is: fraud penalty coefficient = farmers' cost of adopting low-carbon production technology > government subsidy The sensitivity of farmers to government regulation policies is: fraud penalty coefficient = cost of low-carbon production technology > government subsidy > penalty coefficient for non-production, and the sensitivity of farmers to direct market stimulation is: consumer trust coefficient > coefficient of willingness to pay premium for carbon labelled agricultural products, and the additional benefit coefficient has no significant effect on farmers' decision-making; (iii) In the early stage, the source control of food safety mainly depends on the government's policy intervention. In the later stage, the establishment of carbon label agricultural products market incentive mechanism can achieve long-term stable and effective source control of food safety.
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Affiliation(s)
- Yayan Xie
- College of Economics and Trade, Xinjiang Agricultural University, Urumqi 830052, China
| | - Yang Su
- College of Economics and Trade, Xinjiang Agricultural University, Urumqi 830052, China
| | - Feng Li
- School of Business Administration, Xinjiang University of Finance and Economics, Urumqi 830012, China
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Consumer Perception of Beef Quality and How to Control, Improve and Predict It? Focus on Eating Quality. Foods 2022; 11:foods11121732. [PMID: 35741930 PMCID: PMC9223083 DOI: 10.3390/foods11121732] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Revised: 05/31/2022] [Accepted: 06/07/2022] [Indexed: 12/12/2022] Open
Abstract
Quality refers to the characteristics of products that meet the demands and expectations of the end users. Beef quality is a convergence between product characteristics on one hand and consumers’ experiences and demands on the other. This paper reviews the formation of consumer beef quality perception, the main factors determining beef sensory quality, and how to measure and predict beef eating quality at scientific and industrial levels. Beef quality is of paramount importance to consumers since consumer perception of quality determines the decision to purchase and repeat the purchase. Consumer perception of beef quality undergoes a multi-step process at the time of purchase and consumption in order to achieve an overall value assessment. Beef quality perception is determined by a set of quality attributes, including intrinsic (appearance, safety, technological, sensory and nutritional characteristics, convenience) and extrinsic (price, image, livestock farming systems, commercial strategy, etc.) quality traits. The beef eating qualities that are the most valued by consumers are highly variable and depend mainly on the composition and characteristics of the original muscle and the post-mortem processes involved in the conversion of muscle into meat, the mechanisms of which are summarized in this review. Furthermore, in order to guarantee good quality beef for consumers in advance, the prediction of beef quality by combining different traits in scenarios where the animal, carcass, and muscle cuts can be evaluated is also discussed in the current review.
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Clinquart A, Ellies-Oury MP, Hocquette JF, Guillier L, Santé-Lhoutellier V, Prache S. Review: On-farm and processing factors affecting bovine carcass and meat quality. Animal 2022; 16 Suppl 1:100426. [PMID: 35031228 DOI: 10.1016/j.animal.2021.100426] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Revised: 11/10/2021] [Accepted: 11/18/2021] [Indexed: 11/30/2022] Open
Abstract
This paper reviews the current state of knowledge on beef carcass and meat quality, with particular emphasis on on-farm and processing factors associated with its high and inconsistent variability. The diversity of livestock systems comes from the diversity of breeds (dairy or beef), ages and gender (bulls, steers, heifers, cull cows) used to produce either mainly beef or beef and milk. In addition, there are factors linked to farming practices (including diet, especially grazing) which significantly influence the sensory, nutritional, technological and extrinsic (such as image) quality attributes of meat. These can become factors of positive differentiation when controlled by the application and certification of technical specifications. Finally, preslaughter (such as stress), slaughter (such as the chilling and hanging method of carcasses) and postslaughter (such as ageing, packaging and cooking) conditions have a strong influence on the microbiological, sensory, technological and image quality attributes of beef. In this review, potential synergisms or antagonisms between the different quality attributes are highlighted. For example, finishing cattle on grass, compared to indoor fattening on a high concentrate diet, has the advantage of producing leaner meat with a higher proportion of omega-3 fatty acids while exhibiting superior oxidative stability, but with the consequence of a darker meat colour and lower productivity, as well as higher seasonality and land surface requirements. Moreover, the control of on-farm factors is often guided by productivity (growth rate, feed conversion ratio) and carcass quality attributes (weight, conformation and fatness). Genetic selection has often been oriented in this direction, without taking other quality attributes into account. Finally, the interactions between all these factors (and especially between on-farm and slaughter or processing factors) are not considered in the quality grading schemes in European countries. This means that positive efforts at farm level may be mitigated or even eliminated by poor slaughtering or processing conditions. All these considerations explain why between-animal variability in quality can be high, even when animals come from the same farming system. The ability to predict the sensory and nutritional properties of meat according to production factors has become a major objective of the supply chain.
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Affiliation(s)
- A Clinquart
- FARAH, Faculté de Médecine vétérinaire, Université de Liège, 4000 Liège, Belgium.
| | - M P Ellies-Oury
- Bordeaux Science Agro, 33175 Gradignan, France; Université d'Auvergne, INRAE, Vetagro Sup, UMR Herbivores, 63122 Saint Genès-Champanelle, France
| | - J F Hocquette
- Université d'Auvergne, INRAE, Vetagro Sup, UMR Herbivores, 63122 Saint Genès-Champanelle, France
| | - L Guillier
- Agence nationale de sécurité de l'alimentation, de l'environnement et du travail (ANSES), Direction de l'évaluation des risques, F-94700 Maisons-Alfort, France
| | | | - S Prache
- Université d'Auvergne, INRAE, Vetagro Sup, UMR Herbivores, 63122 Saint Genès-Champanelle, France
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Richard G, De Smet S, Font-i-Furnols M, Leroy F, Lind V. Editorial: Quality of animal-source foods related to their production and processing conditions. Animal 2022; 16 Suppl 1:100440. [DOI: 10.1016/j.animal.2021.100440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 12/08/2021] [Accepted: 12/09/2021] [Indexed: 10/19/2022] Open
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Review: Quality of animal-source foods. Animal 2021; 16 Suppl 1:100376. [PMID: 34836809 DOI: 10.1016/j.animal.2021.100376] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Revised: 08/31/2021] [Accepted: 09/01/2021] [Indexed: 02/07/2023] Open
Abstract
This article critically reviews the current state of knowledge on the quality of animal-source foods according to animal production and food processing conditions, including consumer expectations-behaviours and the effects of consumption of animal-source foods on human health. Quality has been defined through seven core attributes: safety, commercial, sensory, nutritional, technological, convenience, and image. Image covers ethical, cultural and environmental dimensions associated with the origin of the food and the way it is produced and processed. This framework enabled to highlight the priorities given to the different quality attributes. It also helped to identify potential antagonisms and synergies among quality attributes, between production and processing stages, and among stakeholders. Primacy is essentially given to commercial quality attributes, especially for standard commodity animal-source foods. This primacy has strongly influenced genetic selection and farming practices in all livestock commodity chains and enabled substantial quantitative gains, although at the expense of other quality traits. Focal issues are the destructuration of chicken muscle that compromises sensory, nutritional and image quality attributes, and the fate of males in the egg and dairy sectors, which have heavily specialised their animals. Quality can be gained but can also be lost throughout the farm-to-fork continuum. Our review highlights critical factors and periods throughout animal production and food processing routes, such as on-farm practices, notably animal feeding, preslaughter and slaughter phases, food processing techniques, and food formulation. It also reveals on-farm and processing factors that create antagonisms among quality attributes, such as the castration of male pigs, the substitution of marine-source feed by plant-based feed in fish, and the use of sodium nitrite in meat processing. These antagonisms require scientific data to identify trade-offs among quality attributes and/or solutions to help overcome these tensions. However, there are also food products that value synergies between quality attributes and between production and processing phases, particularly Geographical Indications, such as for cheese and dry-cured ham. Human epidemiological studies have found associations between consumption of animal-source foods and increased or decreased risk for chronic non-communicable diseases. These associations have informed public health recommendations. However, they have not yet considered animal production and food processing conditions. A concerted and collaborative effort is needed from scientists working in animal science, food process engineering, consumer science, human nutrition and epidemiology in order to address this research gap. Avenues for research and main options for policy action are discussed.
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