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Li X, Hastie M, Warner RD, Hewitt RJE, D'Souza DN, Gonzalez Viejo C, Fuentes S, Ha M, Dunshea FR. Consumer eating quality and physicochemical traits of pork Longissimus and Semimembranosus differed between genetic lines. Meat Sci 2024; 218:109631. [PMID: 39167994 DOI: 10.1016/j.meatsci.2024.109631] [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: 06/23/2024] [Revised: 08/04/2024] [Accepted: 08/14/2024] [Indexed: 08/23/2024]
Abstract
Pork eating quality is affected by various factors. In this study, Longissimus thoracis et lumborum (LTL) and Semimembranosus (SM) muscles from seven genetic lines (PM-LR - Pure maternal, Landrace-type; PM-LW - Pure maternal, Large White-type; PM-D - Pure maternal, Duroc-type; PT-D - Pure terminal, Duroc-type; PT-LW - Pure terminal, Large White-type; PT-LR - Pure Terminal, Landrace-type; Comp-P × LW × D - Composite Terminal - Pietran × Large white × Duroc) were analyzed for pH, intramuscular fat (IMF) content, and collagen content and solubility. A consumer sensory test using check-all-that-apply (CATA) and biometric approaches was also conducted. The results showed that the IMF content of line PM-D was the highest (P = 0.004), while line PT-LW received the highest score in tenderness, liking of flavor, purchase intent, and quality grading (P < 0.05). Line PM-LR and PT-LR showed the lowest IMF content and were least preferred by consumers. Compared to LTL, SM showed higher pH, collagen solubility, and sensory scores in tenderness, juiciness, liking of flavor, and overall liking (P < 0.05). Different muscles and lines were associated with different CATA terms but not with differences in consumer emotional responses. pH positively influenced tenderness, juiciness, and overall liking (P < 0.05), but IMF and collagen had little effect. The flavor was the most important sensory attribute contributing to overall liking, followed by tenderness. Genetic line and muscle affected pork chemical properties and eating quality. The findings are important for the Australian pork industry to improve the eating quality of their products.
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Affiliation(s)
- Xiying Li
- School of Agriculture, Food and Ecosystem Sciences, Faculty of Science, The University of Melbourne, Parkville, VIC 3010, Australia
| | - Melindee Hastie
- School of Agriculture, Food and Ecosystem Sciences, Faculty of Science, The University of Melbourne, Parkville, VIC 3010, Australia
| | - Robyn D Warner
- School of Agriculture, Food and Ecosystem Sciences, Faculty of Science, The University of Melbourne, Parkville, VIC 3010, Australia
| | | | | | - Claudia Gonzalez Viejo
- Digital Agriculture, Food and Wine Sciences Group, School of Agriculture, Food and Ecosystem Sciences, Faculty of Science, The University of Melbourne, Parkville, VIC 3010, Australia
| | - Sigfredo Fuentes
- Digital Agriculture, Food and Wine Sciences Group, School of Agriculture, Food and Ecosystem Sciences, Faculty of Science, The University of Melbourne, Parkville, VIC 3010, Australia; Tecnologico de Monterrey, School of Engineering and Science, Ave. Eugenio Garza Sada 2501, Monterrey 64849, Nuevo Leon, Mexico
| | - Minh Ha
- School of Agriculture, Food and Ecosystem Sciences, Faculty of Science, The University of Melbourne, Parkville, VIC 3010, Australia; v2food, Cremorne, VIC 3121, Australia
| | - Frank R Dunshea
- School of Agriculture, Food and Ecosystem Sciences, Faculty of Science, The University of Melbourne, Parkville, VIC 3010, Australia; Faculty of Biological Sciences, University of Leeds, Leeds LS2 9JT, United Kingdom.
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Dunshea FR, Pluske JR, Ponnampalam EN. Dietary iron or inulin supplementation alters iron status, growth performance, intramuscular fat and meat quality in finisher pigs. Meat Sci 2024; 213:109496. [PMID: 38537508 DOI: 10.1016/j.meatsci.2024.109496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Revised: 02/12/2024] [Accepted: 03/13/2024] [Indexed: 06/29/2024]
Abstract
Forty LW × L pigs (20 boars and 20 gilts) (51.1 ± 0.41 kg) were allocated to a 2 × 2 × 2 factorial design with the respective factors being supplemental organic iron (Fe, 0 and 500 mg/kg), inulin (In, 0 and 50 g/kg) and sex (boars and gilts). After 5 weeks the animals were transported to an abattoir before slaughter and collection of samples. Serum iron was increased by supplemental Fe (28.4 v. 30.9 μmol/L, P = 0.05), although there was an interaction (P = 0.03) such that pigs fed diets with In had lower serum Fe concentrations than those without In (26.8 v. 32.3 μmol/L). Boars had lower (P < 0.01) haemoglobin (116 vs 125), haematocrit (36.7 v. 39.7%) and erythrocyte (6.6 v. 7.1 × 106/mL) concentrations than gilts. Dietary In increased liveweight gain (795 v. 869 g/d, P < 0.02) and carcass weight (62.9 v. 65.2 kg, P < 0.02). Dietary Fe or In supplementation did not improve muscle Longissimus thoracis et lumborum (LTL) total Fe concentration (P > 0.05). Muscle non-heme Fe concentration was higher in Fe-supplemented pigs (P < 0.04) and gilts (P < 0.05) than their counterparts. Muscle heme Fe concentration was greater (3.04 vs 2.51, P < 0.05) in boars than in gilts. The LTL marbling score was greater (P < 0.01) for In-supplemented pigs, and the response was more notable when Fe and In were fed together. These data show that dietary supplementation of Fe increased serum Fe and muscle non-heme Fe concentrations. Supplementation of In at 5% in the diet of finisher pigs improved liveweight gain and the marbling score of pork.
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Affiliation(s)
- F R Dunshea
- School of Agriculture, Food and Ecosystem Sciences, Faculty of Science, The University of Melbourne, Parkville, Victoria 3010, Australia; Faculty of Biological Sciences, The University of Leeds, Leeds LS2 9JT, United Kingdom.
| | - J R Pluske
- School of Agriculture, Food and Ecosystem Sciences, Faculty of Science, The University of Melbourne, Parkville, Victoria 3010, Australia; Australasian Pork Research Institute Limited, Willaston 5118, South Australia
| | - E N Ponnampalam
- School of Agriculture, Food and Ecosystem Sciences, Faculty of Science, The University of Melbourne, Parkville, Victoria 3010, Australia; Agrifeed Animal Production, 9 Poseidon Close, Mill Park, Victoria 3082, Australia
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Duong C, Sung B, Lee S, Easton J. Assessing Australian consumer preferences for fresh pork meat attributes: A best-worst approach on 46 attributes. Meat Sci 2022; 193:108954. [PMID: 36041289 DOI: 10.1016/j.meatsci.2022.108954] [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: 12/16/2021] [Revised: 05/27/2022] [Accepted: 08/22/2022] [Indexed: 11/16/2022]
Abstract
Constant competition and changing consumer preferences prompts the need to improve the competitiveness of the Australian pork industry. This study examines the heterogeneity of Australian consumer preferences related to fresh pork cues. Using best-worst scaling, we examine the importance of 15 intrinsic and 31 extrinsic product attributes to 196 Australian consumers. Findings reveal that taste, succulence and the smell of boar taint were the most important intrinsic cues, while animal welfare and naturalness were the most important extrinsic cues. Based on the importance of intrinsic cues, four segments were identified, namely boar taint haters, lean meat eaters, colour lovers and cuts and size matters. Four segments based on extrinsic cues were identified as animal and environment lovers, naturalness lovers, demanding buyers and utilitarian buyers. This study contributes significantly to the industry by offering granular insights with respect to Australian consumer demands and optimal communication of cues.
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Affiliation(s)
- Chien Duong
- Consumer Research Lab, School of Management and Marketing, Curtin University, Perth, Australia.
| | - Billy Sung
- Consumer Research Lab, School of Management and Marketing, Curtin University, Perth, Australia
| | - Sean Lee
- Consumer Research Lab, School of Management and Marketing, Curtin University, Perth, Australia
| | - Julia Easton
- School of Molecular and Life Sciences, Curtin University, Perth, Australia
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Setyabrata D, Wagner AD, Cooper BR, Kim YHB. Effect of Dry-Aging on Quality and Palatability Attributes and Flavor-Related Metabolites of Pork Loins. Foods 2021; 10:foods10102503. [PMID: 34681552 PMCID: PMC8535753 DOI: 10.3390/foods10102503] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 10/14/2021] [Accepted: 10/16/2021] [Indexed: 11/16/2022] Open
Abstract
This study evaluated the effect of dry-aging on quality, palatability, and flavor-related compounds of pork loins. Ten pork loins were obtained at 7 days postmortem, divided into three equal portions, randomly assigned into three different aging methods (wet-aging (W), conventional dry-aging (DA), and UV-light dry-aging (UDA)), and aged for 21 days at 2 °C, 70% RH, and 0.8 m/s airflow. The results showed similar instrumental tenderness values across all treatments (p > 0.05), while DA and UDA had a greater water-holding capacity than WA (p < 0.05). Both DA and UDA were observed to have comparable color stability to WA up to 5 days of retail display (p > 0.05). Greater lipid oxidation was measured in both DA and UDA at the end of display compared to WA (p < 0.05). The UV light minimized microorganisms concentration on both surface and lean portions of UDA compared to other treatments (p < 0.05). The consumer panel was not able to differentiate any sensory traits and overall likeness between the treatments (p > 0.05). Metabolomics analysis, however, identified more flavor-related compounds in dry-aged meat. These findings suggested that dry-aging can be used for pork loins for value-seeking consumers, as it has a potential to generate unique dry-aged flavor in meat with no adverse impacts on meat quality and microbiological attributes.
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Affiliation(s)
- Derico Setyabrata
- Meat Science and Muscle Biology Laboratory, Department of Animal Science, Purdue University, West Lafayette, IN 47906, USA; (D.S.); (A.D.W.)
| | - Anna D. Wagner
- Meat Science and Muscle Biology Laboratory, Department of Animal Science, Purdue University, West Lafayette, IN 47906, USA; (D.S.); (A.D.W.)
| | - Bruce R. Cooper
- Bindley Bioscience Center, Purdue University, West Lafayette, IN 47907, USA;
| | - Yuan H. Brad Kim
- Meat Science and Muscle Biology Laboratory, Department of Animal Science, Purdue University, West Lafayette, IN 47906, USA; (D.S.); (A.D.W.)
- Correspondence: ; Tel.: +1-765-496-1631
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Hoa VB, Seong PN, Cho SH, Kang SM, Kim YS, Moon SS, Choi YM, Kim JH, Seol KH. Quality characteristics and flavor compounds of pork meat as a function of carcass quality grade. ASIAN-AUSTRALASIAN JOURNAL OF ANIMAL SCIENCES 2019; 32:1448-1457. [PMID: 31010986 PMCID: PMC6722317 DOI: 10.5713/ajas.18.0965] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 12/21/2018] [Revised: 02/11/2019] [Accepted: 02/26/2019] [Indexed: 02/03/2023]
Abstract
Objective The present work aimed at evaluating the effects of carcass quality grade on the quality characteristics of pork meat according to Korean carcass quality grade system. Method Pork carcasses with varying in quality grades (QG): 1+ (QG1+, n=10), 1 (QG1, n=10) and 2 (QG2, n=10), were used to evaluate the relationship between carcass quality grade and meat quality. The meat quality traits, fatty acid profiles, flavor compounds and sensory qualities were measured on the longissimus dorsi muscle samples of these carcasses. Results Pork meat of higher quality grade (GQ1+) presented significantly higher fat content (5.43%), C18:2n-6 level (19.03%) and total unsaturated fatty acids (UFA) content (62.72%). Also, the QG1+ meat was significantly higher in levels of classes of flavor compounds such as aldehydes, alcohols and hydrocarbons in comparison to those of the meat samples from the lower GQ groups. The sensory evaluation results (flavor, juiciness, tenderness and acceptability scores) of QG1+ meat was significantly higher than the QG1 and QG2 meats. The pork with lower QG (i.e., QG2) was found positively correlated to redness (r=0.987), C18:1n-9 level (r=1.000) but negatively correlated to the fat content (r=-0.949), and flavor (r=-0.870), juiciness (r=-0.861), tenderness (r=-0.862) and acceptability (r=-0.815) scores. Conclusion The pork with higher quality grade had higher fat content, total unsaturated fatty acids and better eating quality, thus producing pork with higher quality grades should be considered in order to satisfy the consumer's expectation.
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Affiliation(s)
- Van Ba Hoa
- National Institute of Animal Science, Rural Development Administration, Wanju 55365, Korea
| | - Pil-Nam Seong
- National Institute of Animal Science, Rural Development Administration, Wanju 55365, Korea
| | - Soo-Hyun Cho
- National Institute of Animal Science, Rural Development Administration, Wanju 55365, Korea
| | - Sun-Moon Kang
- National Institute of Animal Science, Rural Development Administration, Wanju 55365, Korea
| | - Yun-Seok Kim
- National Institute of Animal Science, Rural Development Administration, Wanju 55365, Korea
| | | | - Yong-Min Choi
- National Institute of Agricultural Sciences, RDA, Wanju 55365, Korea
| | - Jin-Hyoung Kim
- National Institute of Animal Science, Rural Development Administration, Wanju 55365, Korea
| | - Kuk-Hwang Seol
- National Institute of Animal Science, Rural Development Administration, Wanju 55365, Korea
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Channon HA, D'Souza DN, Jarrett RG, Lee GSH, Watling RJ, Jolley JYC, Dunshea FR. Guaranteeing the quality and integrity of pork - An Australian case study. Meat Sci 2018; 144:186-192. [PMID: 29735356 DOI: 10.1016/j.meatsci.2018.04.030] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2018] [Revised: 04/22/2018] [Accepted: 04/25/2018] [Indexed: 01/31/2023]
Abstract
The Australian pork industry is strongly committed to assuring the integrity of its product, with substantial research investment made over the past ten years to develop and implement systems to assure the consistency and quality of fresh pork and to enable accurate tracing of unpackaged fresh pork back to property of origin using trace elemental profiling. These initiatives are pivotal to allow Australian pork of guaranteed eating quality to be successfully positioned as higher value products, across a range of international and domestic markets, whilst managing any threats of product substitution. This paper describes the current status of the development of a predictive eating quality model for Australian pork, utilizing eating quality datasets generated from recent Australian studies. The implementation of trace elemental profiling, by Physi-Trace™, to verify and defend provenance claims and support the supply of consistently high eating quality Australian pork to its customers, is also discussed.
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Affiliation(s)
- H A Channon
- Australian Pork Limited, P.O. Box 4746, Kingston, ACT 2604, Australia; Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Parkville, VIC 3010, Australia.
| | - D N D'Souza
- SunPork Solutions, Murarrie, QLD 4172, Australia
| | - R G Jarrett
- South Australian Research and Development Institute, Waite Campus, Urrbrae, SA 5064, Australia
| | - G S H Lee
- Food Science Solutions Pty Ltd, Gwelup, WA 6018, Australia
| | - R J Watling
- Quantific Pty. Ltd., East Victoria Park, WA 6101, Australia; TSW Analytical Pty Ltd., Bibra Lake, WA 6163, Australia
| | - J Y C Jolley
- South Australian Research and Development Institute, Waite Campus, Urrbrae, SA 5064, Australia
| | - F R Dunshea
- Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Parkville, VIC 3010, Australia
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Channon HA, D'Souza DN, Dunshea FR. Quantifying production, processing and post-slaughter effects on pork eating quality using random effects meta-regression. Transl Anim Sci 2017; 1:412-425. [PMID: 32704665 PMCID: PMC7204977 DOI: 10.2527/tas2017.0038] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2017] [Accepted: 08/29/2017] [Indexed: 12/23/2022] Open
Abstract
Random effects meta-regression techniques, analyzed using a restricted maximum likelihood (REML) approach, was used to determine the influence of various factors that may be experienced or imposed on pigs, carcases and pork on pork eating quality attributes and shear force of the M. longissimus dorsi (loin). This was done to inform the development of a pathway based eating quality system for pork. Estimated means of explanatory variables were obtained for those pathway factors where sufficient published studies met the criteria for inclusion in the analysis. Due to a lack of data for interactions between factors investigated, only single factors were included as fixed terms in the REML models. This analysis identified that moisture infusion (P < 0.001), ageing for more than 2 d post-slaughter (P = 0.006) and tenderstretching (P = 0.006) each resulted in significant improvements in tenderness. Cooking loins to an endpoint temperature of ≥ 80°C negatively impacted both tenderness (P = 0.022) and juiciness (P < 0.001) scores compared with 70 to 74°C. It was not possible to develop algorithms to reliably estimate the effects of multiple factors on pork eating quality attributes to a cuts-based level due to limited studies reporting data for treatment interactions.
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Affiliation(s)
- H A Channon
- Australian Pork Limited, P.O. Box 4746, Kingston ACT 2604 Australia.,Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Parkville VIC 3010 Australia
| | - D N D'Souza
- SunPork Solutions, PO Box 5950, Manly QLD 4179 Australia
| | - F R Dunshea
- Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Parkville VIC 3010 Australia
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