1. Henchion, M.; Moloney, A.P.; Hyland, J.; Zimmermann, J.; McCarthy, S. Review: Trends for meat, milk and egg consumption for the next decades and the role played by livestock systems in the global production of proteins. Animal 2021, 15, 100287. [CrossRef] [PubMed]
2. Colgrave, M.L.; Dominik, S.; Tobin, A.B.; Stockmann, R.; Simon, C.; Howitt, C.A.; Belobrajdic, D.P.; Paull, C.; Vanhercke, T. Perspectives on Future Protein Production. J. Agric. Food Chem. 2021, 69, 15076–15083. [CrossRef] [PubMed]
3. Belk, K.E.; Woerner, D.R.; Delmore, R.J.; Tatum, J.D.; Yang, H.; Sofos, J.N. The meat industry: Do we think and behave globally or locally? Meat Sci. 2014, 98, 556–560. [CrossRef] [PubMed]
4. Motoyama, M.; Sasaki, K.; Watanabe, A. Wagyu and the factors contributing to its beef quality: A Japanese industry overview. Meat Sci. 2016, 120, 10–18. [CrossRef]
5. Ambele, M.A.; Dhanraj, P.; Giles, R.; Pepper, M.S. Adipogenesis: A Complex Interplay of Multiple Molecular Determinants and Pathways. Int. J. Mol. Sci. 2020, 21, 4283. [CrossRef]
6. Ueda, S.; Hosoda, M.; Yoshino, K.-I.; Yamanoue, M.; Shirai, Y. Gene Expression Analysis Provides New Insights into the Mechanism of Intramuscular Fat Formation in Japanese Black Cattle. Genes 2021, 12, 1107. [CrossRef]
7. Matsuishi, M.; Fujimori, M.; Okitani, A. Wagyu Beef Aroma in Wagyu (Japanese Black Cattle) Beef Preferred by the Japanese over Imported Beef. Anim. Sci. J. 2001, 72, 498–504. [CrossRef]
8. Ueda, S.; Yamanoue, M.; Sirai, Y.; Iwamoto, E. Exploring the Characteristic Aroma of Beef from Japanese Black Cattle (Japanese Wagyu) via Sensory Evaluation and Gas Chromatography-Olfactometry. Metabolites 2021, 11, 56. [CrossRef]
9. Ueda, S.; Hosoda, M.; Kasamatsu, K.; Horiuchi, M.; Nakabayashi, R.; Kang, B.; Shinohara, M.; Nakanishi, H.; Ohto-Nakanishi, T.; Yamanoue, M.; et al. Production of Hydroxy Fatty Acids, Precursors of γ-Hexalactone, Contributes to the Characteristic Sweet Aroma of Beef. Metabolites 2022, 12, 332. [CrossRef]
10. Ministry of Agriculture, Forestry and Fisheries. Statistical Survey of Livestock Production; Ministry of Agriculture, Forestry and Fisheries: Tokyo, Japan, 2020. Available online: https://www.maff.go.jp/e/index.html (accessed on 23 March 2022).
11. O’Quinn, T.G.; Brooks, J.C.; Polkinghorne, R.J.; Garmyn, A.J.; Johnson, B.J.; Starkey, J.D.; Rathmann, R.J.; Miller, M.F. Consumer assessment of beef strip loin steaks of varying fat levels. J. Anim. Sci. 2012, 90, 626–634. [CrossRef]
12. Kerth, C.R.; Miller, R.K. Beef flavor: A review from chemistry to consumer. J. Sci. Food Agric. 2015, 95, 2783–2798. [CrossRef]
13. Sasaki, K. Diversity of Japanese consumers’ requirements, sensory perceptions, and eating preferences for meat. Anim. Sci. J. 2022, 93, e13705. [CrossRef]
14. Bermingham, E.N.; Reis, M.G.; Subbaraj, A.K.; Cameron-Smith, D.; Fraser, K.; Jonker, A.; Craigie, C.R. Distribution of fatty acids and phospholipids in different table cuts and co-products from New Zealand pasture-fed Wagyu-dairy cross beef cattle. Meat Sci. 2018, 140, 26–37. [CrossRef]
15. Hastie, M.; Ashman, H.; Torrico, D.; Ha, M.; Warner, R. A Mixed Method Approach for the Investigation of Consumer Responses to Sheepmeat and Beef. Foods 2020, 9, 126. [CrossRef]
16. Kikushima, R.; Nakajima, S.; Takano, M.; Ito, N. Hong Kong consumer preferences for Japanese beef: Label knowledge and reference point effects. Anim. Sci. J. 2018, 89, 1519–1529. [CrossRef]
17. Scraggs, E.; Zanella, R.; Wojtowicz, A.; Taylor, J.F.; Gaskins, C.T.; Reeves, J.J.; de Avila, J.M.; Neibergs, H.L. Estimation of inbreeding and effective population size of full-blood Wagyu cattle registered with the American Wagyu Cattle Association. J. Anim Breed. Genet. 2014, 131, 3–10. [CrossRef]
18. Gotoh, T.; Nishimura, T.; Kuchida, K.; Mannen, H. The Japanese Wagyu beef industry: Current situation and future prospects—A review. Asian-Australas. J. Anim. Sci. 2018, 31, 933–950. [CrossRef]
19. Menozzi, D.; Giraud, G.; Saïdi, M.; Yeh, C.H. Choice Drivers for Quality-Labelled Food: A Cross-Cultural Comparison on PDO Cheese. Foods 2021, 10, 1176. [CrossRef]
20. Ríos-Reina, R.; Segura-Borrego, M.P.; García-González, D.L.; Morales, M.L.; Callejón, R.M. A comparative study of the volatile profile of wine vinegars with protected designation of origin by headspace stir bar sorptive extraction. Food Res. Int. 2019, 123, 298–310. [CrossRef]
21. Sardi, L.; Gastaldo, A.; Borciani, M.; Bertolini, A.; Musi, V.; Garavaldi, A.; Martelli, G.; Cavallini, D.; Nannoni, E. Pre-Slaughter Sources of Fresh Meat Quality Variation: The Case of Heavy Pigs Intended for Protected Designation of Origin Products. Animals 2020, 10, 2386. [CrossRef]
22. Mendes, E.; Duarte, N. Mid-Infrared Spectroscopy as a Valuable Tool to Tackle Food Analysis: A Literature Review on Coffee, Dairies, Honey, Olive Oil and Wine. Foods 2021, 10, 477. [CrossRef]
23. Visciano, P.; Schirone, M. Food frauds: Global incidents and misleading situations. Trends Food Sci. Technol. 2021, 114, 424–442. [CrossRef]
24. Sajali, N.; Wong, S.C.; Abu Bakar, S.; Khairil Mokhtar, N.F.; Manaf, Y.N.; Yuswan, M.H.; Mohd Desa, M.N. Analytical approaches of meat authentication in food. Int. J. Food Sci. Technol. 2021, 56, 1535–1543. [CrossRef]
25. Cifuentes, A. Food Analysis: Present, Future, and Foodomics. ISRN Anal. Chem. 2012, 2012, 801607. [CrossRef]
26. Kawaguchi, F.; Kitamura, Y.; Nakajima, R.; Takahashi, M.; Goto, H.; Washida, Y.; Yamamoto, Y.; Sasazaki, S.; Mannen, H. Application of DNA markers for discrimination between Japanese and Australian Wagyu beef. Anim. Sci. J. 2018, 89, 257–258. [CrossRef] [PubMed]
27. Klockmann, S.; Reiner, E.; Cain, N.; Fischer, M. Food Targeting: Geographical Origin Determination of Hazelnuts (Corylus avellana) by LC-QqQ-MS/MS-Based Targeted Metabolomics Application. J. Agric. Food Chem. 2017, 65, 1456–1465. [CrossRef] [PubMed]
28. Harrieder, E.M.; Kretschmer, F.; Böcker, S.; Witting, M. Current state-of-the-art of separation methods used in LC-MS based metabolomics and lipidomics. J. Chromatogr. B Anal. Technol. Biomed. Life Sci. 2022, 1188, 123069. [CrossRef] [PubMed]
29. Crupi, R.; Lo Turco, V.; Gugliandolo, E.; Nava, V.; Potortì, A.G.; Cuzzocrea, S.; Di Bella, G.; Licata, P. Mineral Composition in Delactosed Dairy Products: Quality and Safety Status. Foods 2022, 11, 139. [CrossRef]
30. Muroya, S.; Ueda, S.; Komatsu, T.; Miyakawa, T.; Ertbjerg, P. MEATabolomics: Muscle and Meat Metabolomics in Domestic Animals. Metabolites 2020, 10, 188. [CrossRef]
31. Chien, H.-J.; Zheng, Y.-F.; Wang, W.-C.; Kuo, C.-Y.; Hsu, Y.-M.; Lai, C.-C. Determination of adulteration, geographical origins, and species of food by mass spectrometry. Mass Spectrom. Rev. 2022, e21780. [CrossRef]
32. Alexandre, P.A.; Li, Y.; Hine, B.C.; Duff, C.J.; Ingham, A.B.; Porto-Neto, L.R.; Reverter, A. Bias, dispersion, and accuracy of genomic predictions for feedlot and carcase traits in Australian Angus steers. Genet. Sel. Evol. 2021, 53, 77. [CrossRef]
33. Rubio Lozano, M.S.; Ngapo, T.M.; Huerta-Leidenz, N. Tropical Beef: Is There an Axiomatic Basis to Define the Concept? Foods 2021, 10, 1025. [CrossRef]
34. Ueda, S.; Sasaki, R.; Nakabayashi, R.; Yamanoue, M.; Sirai, Y.; Iwamoto, E. Exploring the Lipids Involved in the Formation of Characteristic Lactones in Japanese Black Cattle. Metabolites 2021, 11, 203. [CrossRef]
35. De Nadai Fernandes, E.A.; Sarriés, G.A.; Bacchi, M.A.; Mazola, Y.T.; Gonzaga, C.L.; Sarriés, S.R.V. Trace elements and machine learning for Brazilian beef traceability. Food Chem. 2020, 333, 127462. [CrossRef]
36. Song, O.Y.; Islam, M.A.; Son, J.H.; Jeong, J.Y.; Kim, H.E.; Yeon, L.S.; Khan, N.; Jamila, N.; Kim, K.S. Elemental composition of pork meat from conventional and animal welfare farms by inductively coupled plasma-optical emission spectrometry (ICP-OES) and ICP-mass spectrometry (ICP-MS) and their authentication via multivariate chemometric analysis. Meat Sci. 2021, 172, 108344. [CrossRef]
37. Ueda, S.; Iwamoto, E.; Kato, Y.; Shinohara, M.; Shirai, Y.; Yamanoue, M. Comparative metabolomics of Japanese Black cattle beef and other meats using gas chromatography–mass spectrometry. Biosci. Biotechnol. Biochem. 2019, 83, 137–147. [CrossRef]
38. Wei, M.; Liu, X.; Xie, P.; Lei, Y.; Yu, H.; Han, A.; Xie, L.; Jia, H.; Lin, S.; Bai, Y.; et al. Characterization of Volatile Profiles and Correlated Contributing Compounds in Pan-Fried Steaks from Different Chinese Yellow Cattle Breeds through GC-Q-Orbitrap, E-Nose, and Sensory Evaluation. Molecules 2022, 27, 3593. [CrossRef]
39. Frank, D.; Ball, A.; Hughes, J.; Krishnamurthy, R.; Piyasiri, U.; Stark, J.; Watkins, P.; Warner, R. Sensory and Flavor Chemistry Characteristics of Australian Beef: Influence of Intramuscular Fat, Feed, and Breed. J. Agric. Food Chem. 2016, 64, 4299–4311. [CrossRef]
40. Kawaguchi, F.; Kakiuchi, F.; Oyama, K.; Mannen, H.; Sasazaki, S. Effect of Five Polymorphisms on Percentage of Oleic Acid in Beef and Investigation of Linkage Disequilibrium to Confirm the Locations of Quantitative Trait Loci on BTA19 in Japanese Black Cattle. Life 2021, 11, 597. [CrossRef]
41. San Vito, E.; Lage, J.F.; Ribeiro, A.F.; Silva, R.A.; Berchielli, T.T. Fatty acid profile, carcass and quality traits of meat from Nellore young bulls on pasture supplemented with crude glycerin. Meat Sci. 2015, 100, 17–23. [CrossRef]
42. Li, M.; Zhu, M.; Chai, W.; Wang, Y.; Song, Y.; Liu, B.; Cai, C.; Song, Y.; Sun, X.; Xue, P.; et al. Determination of the Heterogeneity of Intramuscular Fat and Visceral Adipose Tissue from Dezhou Donkey by Lipidomics and Transcriptomics Profiling. Front. Nutr. 2021, 8, 746684. [CrossRef] [PubMed]
43. Mi, S.; Shang, K.; Li, X.; Zhang, C.-H.; Liu, J.-Q.; Huang, D.-Q. Characterization and discrimination of selected China’s domestic pork using an LC-MS-based lipidomics approach. Food Control 2019, 100, 305–314. [CrossRef]
44. Huang, W.; Guo, Y.; Du, W.; Zhang, X.; Li, A.; Miao, X. Global transcriptome analysis identifies differentially expressed genes related to lipid metabolism in Wagyu and Holstein cattle. Sci. Rep. 2017, 7, 5278. [CrossRef] [PubMed]
45. Ishak, W.M.W.; Katas, H.; Yuen, N.P.; Abdullah, M.A.; Zulfakar, M.H. Topical application of omega-3-, omega-6-, and omega-9-rich oil emulsions for cutaneous wound healing in rats. Drug Deliv. Transl. Res. 2019, 9, 418–433. [CrossRef]
46. Farag, M.A.; Gad, M.Z. Omega-9 fatty acids: Potential roles in inflammation and cancer management. J. Genet. Eng. Biotechnol. 2022, 20, 48. [CrossRef]
47. Kabata-Pendias, A. Trace Elements in Soils and Plants, 3rd ed.; CRC Press: Boca Raton, FL, USA, 2000. [CrossRef]
48. Yamada, T.; Kamiya, M.; Higuchi, M. Gas Chromatography-Mass Spectrometry-Based Metabolomic Analysis of Wagyu and Holstein Beef. Metabolites 2020, 10, 95. [CrossRef]
49. Muroya, S.; Oe, M.; Ojima, K.; Watanabe, A. Metabolomic approach to key metabolites characterizing postmortem aged loin muscle of Japanese Black (Wagyu) cattle. Asian-Australas. J. Anim. Sci. 2019, 32, 1172–1185. [CrossRef]
50. Chang, C.C.; Chow, C.C.; Tellier, L.C.A.M.; Vattikuti, S.; Purcell, S.M.; Lee, J.J. Second-generation PLINK: Rising to the challenge of larger and richer datasets. GigaScience 2015, 4, s13742-015. [CrossRef]
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