Hostname: page-component-78c5997874-ndw9j Total loading time: 0 Render date: 2024-11-17T16:11:31.671Z Has data issue: false hasContentIssue false

Estimates of genetic parameters for fatty acid compositions in the longissimus dorsi muscle of Hanwoo cattle

Published online by Cambridge University Press:  10 August 2017

M. S. A. Bhuiyan
Affiliation:
Division of Animal and Dairy Science, Chungnam National University, Dajeon 34134, Republic of Korea
D. H. Lee
Affiliation:
Division of Animal and Dairy Science, Chungnam National University, Dajeon 34134, Republic of Korea
H. J. Kim
Affiliation:
Division of Animal and Dairy Science, Chungnam National University, Dajeon 34134, Republic of Korea Hanwoo Research Institute, National Institute of Animal Science, Pyeongchang 25340, Republic of Korea
S. H. Lee*
Affiliation:
Division of Animal and Dairy Science, Chungnam National University, Dajeon 34134, Republic of Korea
S. H. Cho
Affiliation:
Division of Animal Production, National Institute of Animal Science, Wanju 55365, Republic of Korea
B. S. Yang
Affiliation:
Hanwoo Research Institute, National Institute of Animal Science, Pyeongchang 25340, Republic of Korea
S. D. Kim
Affiliation:
Animal Genetic Improvement Division, National Institute of Animal Science, Seonghwan 31000, Republic of Korea
S. H. Lee*
Affiliation:
Division of Animal and Dairy Science, Chungnam National University, Dajeon 34134, Republic of Korea
*
Get access

Abstract

We estimated the heritabilities (h2) and genetic and phenotypic correlations among individual and groups of fatty acids, as well as their correlations with six important carcass and meat-quality traits in Korean Hanwoo cattle. Meat samples were collected from the longissimus dorsi muscles of 1000 Hanwoo steers that were 30-month-old (progeny of 85 proven Hanwoo bulls) to determine intramuscular fatty acid profiles. Phenotypic data on carcass weight (CWT), eye muscle area (EMA), back fat thickness (BFT), marbling score (MS), Warner–Bratzler shear force (WBSF) and intramuscular fat content (IMF) were also investigated using this half-sib population. Variance and covari.ance components were estimated using restricted maximum likelihood procedures under univariate and pairwise bivariate animal models. Oleic acid (C18:1n-9) was the most abundant fatty acid, accounting for 50.69% of all investigated fatty acids, followed by palmitic (C16:0; 27.33%) and stearic acid (C18:0; 10.96%). The contents of saturated fatty acids (SFAs), monounsaturated fatty acids (MUFAs) and polyunsaturated fatty acids (PUFAs) were 41.64%, 56.24% and 2.10%, respectively, and the MUFA/SFA ratio, PUFA/SFA ratio, desaturation index (DI) and elongation index (EI) were 1.36, 0.05, 0.59 and 0.66, respectively. The h2 estimates for individual fatty acids ranged from very low to high (0.03±0.14 to 0.63±0.14). The h2 estimates for SFAs, MUFAs, PUFAs, DI and EI were 0.53±0.14, 0.49±0.14, 0.23±0.10, 0.51±0.13 and 0.53±0.13, respectively. The genetic and phenotypic correlations among individual fatty acids and fatty acid classes varied widely (−0.99 to 0.99). Notably, C18:1n-9 had favourable (negative) genetic correlations with two detrimental fatty acids, C14:0 (−0.76) and C16:0 (−0.92). Genetic correlations of individual and group fatty acids with CWT, EMA, BFT, MS, WBSF and IMF ranged from low to moderate (both positive and negative) with the exception of low-concentration PUFAs. Low or near-zero phenotypic correlations reflected potential non-genetic contributions. This study provides insights on genetic variability and correlations among intramuscular fatty acids as well as correlations between fatty acids and carcass and meat-quality traits, which could be used in Hanwoo breeding programmes to improve fatty acid compositions in meat.

Type
Research Article
Copyright
© The Animal Consortium 2017 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

a

M. S. A. Bhuiyan and D. H. Lee contributed equally to this work.

References

AOAC 1996. Official method of analysis of the association of official analytical chemists. AOAC International, Arlington, VA, USA.Google Scholar
Buchanan, JW, Reecy, JM, Garrick, DJ, Duan, Q, Beitz, DC and Mateescu, RG 2015. Genetic parameters and genetic correlations among triacylglycerol and phospholipid fractions in Angus cattle. Journal of Animal Science 93, 522528.Google Scholar
Cecchinato, A, Marchi, MD, Penasa, M, Casellas, J, Schiavon, S and Bittante, G 2012. Genetic analysis of beef fatty acid composition predicted by near-infrared spectroscopy. Journal of Animal Science 90, 429438.CrossRefGoogle ScholarPubMed
Cho, SH, Park, BY, Kim, JH, Hwang, IH, Kim, JH and Lee, JM 2005. Fatty acid profiles and sensory properties of longissimus dorsi, Triceps brachii, and Semimembranosus muscles from Korean Hanwoo and Australian Angus beef. Asian Australasian Journal of Animal Sciences 18, 17861793.CrossRefGoogle Scholar
Choi, CB, Kwon, H, Kim, SI, Yang, UM, Lee, JH and Park, EK 2016. Effects of rice bran, flax seed, and sunflower seed on growth performance, carcass characteristics, fatty acid composition, free amino acid and peptide contents, and sensory evaluations of native Korean cattle (Hanwoo). Asian Australasian Journal of Animal Sciences 29, 195203.CrossRefGoogle ScholarPubMed
De Smet, S, Raes, K and Demeyer, D 2004. Meat fatty acid composition as affected by fatness and genetic factors: a review. Animal Research 53, 8198.CrossRefGoogle Scholar
Ekine-Dzivenu, C, Chen, L, Vinsky, M, Aldai, N, Dugan, MER, McAllister, TA, Wang, Z, Okine, E and Li, C 2014. Estimates of genetic parameters for fatty acids in brisket adipose tissue of Canadian commercial crossbred beef steers. Meat Science 96, 15171526.CrossRefGoogle ScholarPubMed
Feitosa, FLB, Olivieri, BF, Aboujaoude, C, Pereira, ASC, de Lemos, MVA, Chiaia, HLJ, Espigolan, R, Tonussi, RL, Silva, RMO, Gordo, DGM, Magalhães, AFB, Aguilar, I and Baldi, F 2016. Genetic correlation estimates between beef fatty acid profile with meat and carcass traits in Nellore cattle finished in feedlot. Journal of Applied Genetics 30, 110.Google Scholar
Folch, J, Lees, M and Sloane-Stanley, GH 1957. A simple method for the isolation and purification of lipids from animal tissues. The Journal of Biological Chemistry 226, 497509.CrossRefGoogle ScholarPubMed
Garmyn, AJ, Hilton, GG, Mateescu, RG, Morgan, JB, Reecy, JM, Tait, RG, Beitz, DC, Duan, Q, Schoonmaker, JP, Mayes, MS, Drewnoski, ME, Liu, Q and Van Overbeke, DL 2011. Estimation of relationships between mineral concentration and fatty acid composition of longissimus muscle and beef palatability traits. Journal of Animal Science 89, 28492858.CrossRefGoogle ScholarPubMed
Gilmour, AR, Gogel, BJ, Cullis, BR, Welham, SJ and Thompson, R 2015. ASReml user guide release 41. VSN International Ltd.,, Hemel Hempstead, UK.Google Scholar
Hwang, YH, Kim, GD, Jeong, JY, Hur, SJ and Joo, ST 2010. The relationship between muscle fiber characteristics and meat quality traits of highly marbled Hanwoo (Korean native cattle) steers. Meat Science 86, 456461.CrossRefGoogle ScholarPubMed
Inoue, K, Kobayashi, M, Shoji, N and Kato, K 2011. Genetic parameters for fatty acid composition and feed efficiency traits in Japanese Black cattle. Animal 5, 987994.CrossRefGoogle ScholarPubMed
Jung, S, Nam, KC, Lee, KH, Kim, JJ and Jo, C 2013. Meat quality traits of longissimus dorsi muscle from carcasses of Hanwoo steers at different yield grades. Korean Journal for Food Science of Animal Resources 33, 305316.Google Scholar
Krag, K, Poulsen, NA, Larsen, MK, Larsen, LB, Janss, LL and Buitenhuis, B 2013. Genetic parameters for milk fatty acids in Danish Holstein cattle based on SNP markers using a Bayesian approach. BMC Genetics 14, 110.Google Scholar
Lemos, MVA, Chiaia, HLJ, Berton, MP, Feitosa, FLB, Aboujaoud, C, Camargo, GMF, Pereira, ASC, Albuquerque, LG, Ferrinho, AM, Mueller, LF, de Oliveira, HN, Duckett, S, Aguilar, I and Baldi, F 2016. Genome-wide association between single nucleotide polymorphisms with beef fatty acid profile in Nellore cattle using the single step procedure. BMC Genomics 17, 116.CrossRefGoogle ScholarPubMed
Malau-Aduli, AEO, Edriss, MA, Siebert, BD, Bottema, CDK and Pitchford, WS 2000. Breed differences and genetic parameters for melting point, marbling score and fatty acid composition of lot-fed cattle. Journal of Animal Physiology and Animal Nutrition 83, 95105.Google Scholar
Mapiye, C, Aldai, N, Turner, TD, Aalhus, JL, Rolland, DC, Kramer, JKG and Dugan, MER 2012. The labile lipid fraction of meat: from perceived disease and waste to health and opportunity. Meat Science 92, 210220.CrossRefGoogle ScholarPubMed
Nogi, T, Honda, T, Mukai, F, Okagaki, T and Oyama, K 2011. Heritabilities and genetic correlations of fatty acid compositions in longissimus muscle lipid with carcass traits in Japanese Black cattle. Journal of Animal Science 89, 615621.CrossRefGoogle ScholarPubMed
Oh, DY, Lee, YS and Yeo, JS 2011. Identification of the SNP of the stearoyl-CoA desaturase (SCD) associated with unsaturated fatty acid in Hanwoo (Korean Cattle). Asian Australasian Journal of Animal Sciences 24, 757765.Google Scholar
Pitchford, WS, Deland, MPB, Siebert, BD, Malau-Aduli, AEO and Bottema, CDK 2002. Genetic variation in fatness and fatty acid composition of crossbred cattle. Journal of Animal Science 80, 28252832.Google Scholar
Sakuma, H, Saito, K, Kohira, K, Ohhashi, F, Shoji, N and Uemoto, Y 2017. Estimates of genetic parameters for chemical traits of meat quality in Japanese black cattle. Animal Science Journal 88, 203212.Google Scholar
Scollan, N, Hocquette, JF, Nuernberg, K, Dannenberger, D, Richardson, I and Moloney, A 2006. Innovations in beef production systems that enhance the nutritional and health value of beef lipids and their relationship with meat quality. Meat Science 74, 1733.CrossRefGoogle ScholarPubMed
Smith, SB, Gill, CA, Lunt, DK and Brooks, MA 2009. Regulation of fat and fatty acid composition in beef cattle. Asian Australasian Journal of Animal Sciences 22, 12251233.CrossRefGoogle Scholar
Solver, HT and Lanza, E 1979. Quantitative analysis of food fatty acids by capillary gas chromatography. Journal of the American Oil Chemists Society 56, 933937.Google Scholar
Tait, RG, Zhang, S, Knight, T, Bormann, JM, Strohbehn, DR, Beitz, DC and Reecy, JM 2007. Heritability estimates for fatty acid quantity in Angus beef. Journal of Animal Science 85 (suppl. 2), 58.Google Scholar
Tait, RG, Zhang, S, Knight, T, Strohbehn, DR, Beitz, DC and Reecy, JM 2008. Genetic correlations of fatty acid concentrations with carcass traits in Angus-sired beef cattle. Animal Industry Report AS 654, ASL R2285.Google Scholar
Taniguchi, M, Utsugi, T, Oyama, K, Mannen, H, Kobayashi, M, Tanabe, Y, Ogino, A and Tsuji, S 2004. Genotype of stearoyl-CoA desaturase is associated with fatty acid composition in Japanese Black cattle. Mammalian Genome 15, 142148.Google Scholar
Webb, EC and O’Neill, HA 2008. The animal fat paradox and meat quality. Meat Science 80, 2836.CrossRefGoogle ScholarPubMed
Wheeler, TL, Shackelford, SD and Koohmaraie, M 2000. Relationship of beef longissimus tenderness classes to tenderness of gluteus medius, semimembranosus, and biceps femoris. Journal of Animal Science 78, 28562861.CrossRefGoogle ScholarPubMed
Wood, JD, Enser, M, Fisher, AV, Nute, GR, Sheard, PR, Richardson, RI, Hughes, SI and Whittington, FM 2008. Fat deposition, fatty acid composition and meat quality: a review. Meat Science 78, 343358.Google Scholar
Wood, JD, Richardson, RI, Nute, GR, Fisher, AV, Campo, MM, Kasapidou, E, Sheard, PR and Enser, M 2004. Effects of fatty acids on meat quality: a review. Meat Science 66, 2132.CrossRefGoogle ScholarPubMed
Supplementary material: File

Bhuiyan supplementary material

Tables S1-S2

Download Bhuiyan supplementary material(File)
File 14.8 KB