Meat Quality Comparison in Bali, Wagyu, and Their Cross-Breed Cattle Using Ultrasound Imaging

Ni Made Paramita Setyani, Rudy Priyanto, Mokhamad Fakhrul Ulum, Sutikno Sutikno, Jakaria Jakaria

Abstract


This study aimed to compare the meat quality of different beef cattle breeds using ultrasound imaging. A total of 28 cattle, aged 1-2.5 years, from three breeds were analyzed: Wagyu (n=7), Bali (n=10), and Wagyu×Bali cross-breeds (n=11). Meat quality traits, including longissimus dorsi thickness (LDT), backfat thickness (BFT), intramuscular fat (IMF), and marbling score (MS), were assessed using ultrasound imaging. The association between breed and meat quality was analyzed using a completely randomized design (CRD) followed by Tukey's test. Additionally, principal component analysis (PCA) was employed to identify clusters of meat quality potential among the different breeds. The results indicated that Wagyu×Bali cross-breeds exhibited the highest LDT (46.380±4.770 mm), though the difference was not statistically significant (P≥0.05) compared to either Bali or Wagyu cattle. However, significant differences (P≤0.05) were observed between Bali and Wagyu cattle. For BFT, MS, and IMF, Wagyu cattle outperformed both Bali cattle and Wagyu×Bali cross-breeds, with values of 5.490±0.806 mm, 6.010±0.998, and 49.05±8.140%, respectively. The PCA revealed two primary clusters: the first cluster, comprising Wagyu cattle, accounted for 75.6% of the diversity and was characterized by BFT, IMF, and MS as key variables. The second cluster included Bali cattle and Wagyu×Bali cross-breeds, representing 21.5% of the diversity, without any specific meat quality variable as a defining marker. Ultrasound imaging effectively estimated meat quality in Bali cattle and their cross-breeds, demonstrating its potential as a tool for meat quality assessment across different breeds.

Keywords


Bali cattle; meat quality; principal component analysis (PCA); ultrasound imaging; Wagyu×Bali cross-breed

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References


Abreu, B. da S., Barbosa, S.B.P., da Silva, E.C., Santoro, K.R., Vieira Batista, Â.M., Martinez, R.L.V., 2020. Principal component and cluster analyses to evaluate production and milk quality traits. Revista Ciencia Agronomica. 51:1–10. https://doi.org/10.5935/1806-6690.20200060

Barahona, M., Hachemi, M.A., Olleta, J.L., del Mar González, M., Del Mar Campo, M., 2020. Feeding, muscle and packaging effects on meat quality and consumer acceptability of Avilena-Negra Iberica beef. Foods. 9:1–15. https://doi.org/10.3390/foods9070853

Fuah, A.M., Petheram, J., Priyanto, R., 2015. Evaluation of Farming System Research (FSR) on Small Livestock in West Timor of East Nusa Tenggara. Jurnal Ilmu Produksi dan Teknologi Hasil Peternakan 03: 12–20.

Giaretta, E., Mordenti, A.L., Canestrari, G., Brogna, N., Palmonari, A., Formigoni, A., 2018. Assessment of muscle Longissimus thoracis et lumborum marbling by image analysis and relationships between meat quality parameters. PLoS One. 13:1-12. https://doi.org/10.1371/journal.pone.0202535

Gotoh, T., Nishimura, T., Kuchida, K., Mannen, H., 2018. The Japanese Wagyu beef industry: Current situation and future prospects - A review. Asian-Australas J. Anim. Sci. 31: 933–950. https://doi.org/10.5713/ajas.18.0333

Gushairiyanto, Depison, 2021. Quantitative Characteristics of Bali Cattle Using Principal Component Analysis in Merangin and Muaro Jambi Regency, Jambi Province. Jurnal Sain Peternakan Indonesia. 16: 74–79. https://doi.org/10.31186/jspi.id.16.1.74-79

Jakaria, J., Musyaddad, T., Rahayu, S., Muladno, M., Sumantri, C., 2019. Diversity of D-loop mitochondrial DNA (mtDNA) sequence in Bali and Sumba Ongole cattle breeds. J. Indones. Trop. Anim. Agric. 44: 335–345. https://doi.org/10.14710/jitaa.44.4.335-345

Jakaria, Khasanah, H., Priyanto, R., Baihaqi, M., Ulum, M.F., 2017. Prediction of meat quality in Bali cattle using ultrasound imaging. J. Indones. Trop. Anim. Agric. 42: 59–65. https://doi.org/10.14710/jitaa.42.2.59-65

Jung, E.Y., Hwang, Y.H., Joo, S.T., 2016. Muscle profiling to improve the value of retail meat cuts. Meat Sci. 120: 47–53. https://doi.org/10.1016/j.meatsci.2016.04.012

Kubatbekov, T.S., Kosilov, V.I., Yuldashbaev, Y.A., Amerkhanov, H.A., Radjabov, F.M., Salikhov, A.A., Garyaev, H.B., 2020. Genetic Aspects for Meat Quality of Purebred and Cross-breed Bull-Calves. Adv. Anim. Vet. Sci. 8: 38–42. https://doi.org/10.17582/journal.aavs/2020/8.s3.38.42

Lambe, N.R., Macfarlane, J.M., Richardson, R.I., Matika, O., Haresign, W., Bünger, L., 2010. The effect of the Texel muscling QTL (TM-QTL) on meat quality traits in cross-breed lambs. Meat Sci. 85: 684–690. https://doi.org/10.1016/j.meatsci.2010.03.025

Liu, X.D., Moffitt-Hemmer, N.R., Deavila, J.M., Li, A.N., Tian, Q.T., Bravo-Iniguez, A., Chen, Y.T., Zhao, L., Zhu, M.J., Neibergs, J.S., Busboom, J.R., Nelson, M.L., Tibary, A., Du, M., 2021. Wagyu–Angus cross improves meat tenderness compared to Angus cattle but unaffected by mild protein restriction during late gestation. Animal 15:1–7. https: //doi.org /10.1016 /j.animal.2020.100144

Maulid, S.S.C., Kuswati, Purwanto, D., Susilo, A., 2020. Physical Meat Quality of Red Brahman Cross-breed and Droughtmaster Cattle at Different Sexs and Ages. Jurnal Ilmu dan Teknologi Peternakan Tropis. 9: 463–469. https://doi.org/10.33772/jitro.v9i2

Martiana, A. Arief, I. I., Nuraini, H., Taufik, E. 2020. The Quality of Bali Beef from East Nusa Tenggara during Distribution Process from Slaughterhouse to Consumers. Jurnal Ilmu Produksi dan Teknologi Hasil Peternakan. 8: 8–14. https://doi.org/10.29244/jipthp.8.1.8-14

Mears, G.J., Mir, P.S., Bailey, D.R.C., Jones, S.D.M., 2001. Effect of Wagyu genetics on marbling, backfat and circulating hormones in cattle. Can. J. Anim. Sci. 65–73.

Melendez L.J. and Marchello J.A., 2014. The efficacy of ultra- sound to determine certain carcass traits in Grains-fed beef cattle. Int. J. Sci. Comput. Hum. 2: 145–154.

Motoyama, M., Sasaki, K., Watanabe, A., 2016. Wagyu and the factors contributing to its beef quality: A Japanese industry overview. Meat Sci. 120: 10–18. https://doi.org/10.1016/j.meatsci.2016.04.026

Muatip, K., Purwaningsih, H., Priyono, A., Nuskhi, M., Setiana, L., Putra, A.P., 2019. The Correlation of the Age and Length of Stay with the Compliance of Beef Cattle Farmers Norms (Case Study) in Final Waste Disposal of Jatibarang, Semarang City. Anim. Prod. 21: 148–156.

Narsaiah, K., Jha, S.N., 2012. Nondestructive methods for quality evaluation of livestock products. J. Food Sci. Technol. 49: 342–348. https://doi.org/10.1007/s13197-011-0286-3

Nasrul Haq, A., Septinova, D., Purnama Edy Santosa, dan, 2015. The Physical of Beef from Traditional Market in Bandar Lampung. Jurnal Ilmiah Peternakan Terpadu. 3: 98–103.

Oikawa, T., 2018. Improvement of indigenous cattle to modern Japanese Black (Wagyu) cattle, in: IOP Conference Series: Earth and Environmental Science. Institute of Physics Publishing. https://doi.org/10.1088/1755-1315/119/1/012001

Robinson, D.L., Mcdonald, C.A., Hammond, K., Turner1, J.W., 1992. Live Animal Measurement of Carcass Traits by Ultrasound: Assessment and Accuracy of Sonographers. J. Anim. Sci.70: 1667–1676.

Setiawan, O., 2012. Rainfall and Temperature Variability Analysis in Bali. Jurnal Analisis Kebijakan Kehutanan. 9: 66–79.

Setyani, N.M.P., Priyanto, R., Jakaria, J., 2021. The Effect of SNP c.100800G≥A on CAST|Cfr13I Gene Polymorphisms with Ultrasound Imaging of Meat Characteristics and Growth Traits in Bali Cattle. Irani. J. Appl. Anim. Sci. 11: 707–715.

Shin, S.C., Heo, J.P., Chung, E.R., 2012. Genetic variants of the FABP4 gene are associated with marbling scores and meat quality grades in Hanwoo (Korean cattle). Mol. Biol. Rep. 39: 5323–5330. https://doi.org/10.1007/s11033-011-1331-z

Suhendro, I., Jakaria, J., Priyanto, R., Manalu, W., Noor, R.R., 2022. The Association of Single Nucleotide Polymorphism -69T≥G HSPA1A Gene with Bali Cattle Heat Tolerance. Trop. Anim. Sci. J. 45: 429–435. https://doi.org/10.5398/tasj.2022.45.4.429

Suryanto, E., Bulkaini, B., Soeparno, S., Karda, I.W., 2017. Cascass quality, marbling, meat cholesterol and non-carcass components of Bali cattle fed with fermented cacao shell. Buletin Peternakan. 41: 72–78. https://doi.org/10.21059/buletinpeternak.v41i1.12757

Tazi, I., Laila Isnaini, N., Ainur, A., 2019. Principal Component Analysis (PCA) Method for Classification of Beef and Pork Aroma Based on Electronic Nose. Indonesian Journal of Halal Research. 1: 5–8. https://doi.org/10.15575/ijhar.4155

Tyasi, T.L., Putra, W.P.B., 2022. Principal Component Analysis (PCA) in the Body Measurements of Nguni Cows. Pak. J. Zool. 55: 1469–1472. https://doi.org/10.17582/journal.pjz/20210605170634

Warman, A.T., Fadhilah, G.T., Ibrahim, A., Atmoko, B.A., Baliarti, E., Panjono, 2023. Morphometric characterization and zoometric indices of female Bali cattle reared in Lombok Tengah District, West Nusa Tenggara, Indonesia. Biodiversitas. 24: 966–974. https://doi.org/10.13057/biodiv/d240236

Yakubu, A., 2008. Principal Component Analysis of the Conformation Traits of Yankasa Sheep. World. Appl. Sci. J. 5: 670–674.

Zhu, C., Fan, H., Yuan, Z., Hu, S., Zhang, L., Wei, C., Zhang, Q., Zhao, F., Du, L., 2015. Detection of selection signatures on the X chromosome in three sheep breeds. Int. J. Mol. Sci. 16: 20360–20374. https://doi.org/10.3390/ijms1609203




DOI: https://doi.org/10.17969/agripet.v24i2.31931

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