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Genetic parameters for fatty acid composition and feed efficiency traits in Japanese Black cattle

Published online by Cambridge University Press:  28 January 2011

K. Inoue*
Affiliation:
National Livestock Breeding Center, Nishigo, Fukushima 961-8511, Japan
M. Kobayashi
Affiliation:
Yamagata General Agricultural Research Center, Shinjo, Yamagata 996-0041, Japan
N. Shoji
Affiliation:
Yamagata General Agricultural Research Center, Shinjo, Yamagata 996-0041, Japan
K. Kato
Affiliation:
Livestock Improvement Association of Japan, Kotoku, Tokyo 135-0041, Japan
*
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Abstract

We estimated the genetic parameters related to feed intake (FI), feed efficiency traits (including feed conversion ratio (FCR) and residual feed intake (RFI) of digestible crude protein (DCP) and total digestible nutrients (TDN)), beef marbling score (BMS), melting point of fat (MP) and fatty acid composition. Fat and meat (Musculus trapezius) samples were taken from the carcasses of 863 Japanese Black steers derived from 65 sires, for determination of the MP and fatty acid composition of the total lipid in intramuscular adipose tissue. Genetic parameters were estimated using uni- and bivariate animal models. In addition, pedigree information for 4841 animals was used. Heritability estimates for BMS, MP, individual fatty acids, monounsaturated fatty acids (MUFA), the ratio of saturated fatty acids to MUFA (MUS) and the ratio of elongation (ELONG) were generally high. The FI values of TDN and DCP were also high, but FCRs and RFIs of those were low (0.09 to 0.22). Genetic correlation of BMS with MP was −0.34 (favorable) and with C18:1, MUFA, MUS and ELONG values were 0.40, 0.28, 0.29 and 0.37, respectively (favorable). Genetic correlations of MP with C18:1, MUFA, MUS and ELONG were negative (also favorable) and high (−0.85, −0.98, −1.00 (−0.996) and −0.66, respectively). The correlation estimates for feed efficiency traits of DCP were quite similar to those of TDN. Genetic correlations of BMS with FCRs and RFIs of TDN and DCP were all positive (unfavorable; 0.21 to 0.51), and in particular, the correlations with RFIs of those were high. The correlations of C18:1, MUFA, MUS and ELONG with RFIs of TDN and DCP were positive (unfavorable) but low (0.06 to 0.17), whereas the corresponding correlations with FCRs of those were all negative (favorable; −0.38 to −0.10). These results suggest that the quantity and quality of beef fat can be simultaneously improved and that the quality of beef fat (fatty acid composition) can be improved directly or indirectly with MP. Furthermore, selecting MP or fatty acid traits does not significantly affect feed efficiency.

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Full Paper
Copyright
Copyright © The Animal Consortium 2011

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References

Abe, T, Saburi, J, Hasebe, H, Nakagawa, T, Misumi, S, Nade, T, Nakajima, H, Shoji, N, Kobayashi, M, Kobayashi, E 2009. Novel mutations of the FASN and their effect on fatty acid composition in Japanese Black beef. Biochemical Genetics 47, 397411.CrossRefGoogle ScholarPubMed
Archer, JA, Richardson, EC, Herd, RM, Arthur, PF 1999. Potential for selection to improve efficiency of feed use in beef cattle: a review. Australian Journal of Agricultural Research 50, 147162.CrossRefGoogle Scholar
Arthur, PF, Archer, JA, Johnston, DJ, Herd, RM, Richardson, EC, Parnell, PF 2001a. Genetic and phenotypic variance and covariance components for feed intake, feed efficiency, and other post weaning traits in Angus cattle. Journal of Animal Science 79, 28052811.Google Scholar
Arthur, PF, Renand, G, Krauss, D 2001b. Genetic parameters for growth and feed efficiency in weaner versus yearling Charolais bulls. Australian Journal of Agricultural Research 52, 471476.CrossRefGoogle Scholar
Bouquet, A, Fouilloux, MN, Renand, G, Phocas, F 2010. Genetic parameters for growth, muscularity, feed efficiency and carcass traits of young beef bulls. Livestock Science 129, 3848.CrossRefGoogle Scholar
Folch, J, Lees, M, Stanley, GHS 1957. A simple method for the isolation and purification of total lipids from animal tissues. The Journal of Biological Chemistry 226, 497509.CrossRefGoogle ScholarPubMed
Gunsett, FC 1984. Linear index selection to improve traits defined as ratios. Journal of Animal Science 59, 11851193.Google Scholar
Hoque, MA, Arthur, PF, Hiramoto, K, Oikawa, T 2006. Genetic parameters for carcass traits of field progeny and their relationships with feed efficiency traits of their sire population for Japanese Black bulls. Livestock Science 100, 251260.CrossRefGoogle Scholar
Hoque, MA, Hosono, M, Oikawa, T, Suzuki, K 2009. Genetic parameters for measures of energetic efficiency of bulls and their relationships with carcass traits of field progeny in Japanese Black cattle. Journal of Animal Science 87, 99106.CrossRefGoogle ScholarPubMed
Huerta-Leidenz, NO, Cross, HR, Savell, JW, Lunt, DK, Baker, JF, Smith, SB 1996. Fatty acid composition of subcutaneous adipose tissue from male calves at different stages of growth. Journal of Animal Science 74, 12561264.Google Scholar
Inoue, K, Shoji, N, Kobayashi, M 2008. Genetic relations among fat melting point, fatty acid composition and carcass traits in Japanese Black cattle. Nihon Chikusan Gakkaiho 79, 18 (In Japanese).CrossRefGoogle Scholar
Irie, M, Oka, A, Iwaki, F 2003. Fiber-optic method for estimation of bovine fat quality. Journal of the Science of Food and Agriculture 83, 483486.CrossRefGoogle Scholar
Japan Meat Grading Association 1988. New beef carcass grading standards. JMGA, Tokyo, Japan.Google Scholar
Koch, RM, Swiger, LA, Chambers, D, Gregory, KE 1963. Efficiency of feed use in beef cattle. Journal of Animal Science 22, 486494.CrossRefGoogle Scholar
Maehara, M, Murasawa, N, Nakahashi, Y, Hidaka, S, Kato, T, Kuchida, K 2008. Relationships between fatty acid compositions and image analysis traits of the rib eye in Japanese Black cattle fattened in Hokkaido. Nihon Chikusan Gakkaiho 79, 507513 (In Japanese).Google Scholar
Mandell, IB, Buchanan, JG, Campbell, CP 1998. Effects of forage vs grain feeding on carcass characteristics, fatty acid composition, and beef quality in Limousin-Cross steers when time on feed is controlled. Journal of Animal Science 76, 26192630.CrossRefGoogle ScholarPubMed
May, SG, Sturdivant, CA, Lunt, DK, Miller, RK, Smith, SB 1993. Comparison of sensory characteristics and fatty acid composition between Wagyu crossbred and Angus steers. Meat Science 35, 289298.CrossRefGoogle ScholarPubMed
Melton, SL, Amiri, M, Davis, GW, Backus, WR 1982. Flavor and chemical characteristics of ground beef from grass-, forage-gain- and grain-finished steers. Journal of Animal Science 55, 7787.CrossRefGoogle Scholar
Ministry of Health, Labour and Welfare 2001. The Japanese pharmacopoeia, 14th edition. MHLW, Tokyo, Japan.Google Scholar
Misztal, I, Tsuruta, S, Strabel, T, Auvray, B, Druet, T, Lee, D 2002. BLUPF90 and related programs (BGF90). In Proceedings of the 7th World Congress on Genetics Applied to Livestock Production, CD-ROM Communication, Montpellier, France.Google Scholar
Morris, CA, Cullen, NG, Glass, BC, Hyndman, DL, Manley, TR, Hickey, SM, McEwan, JC, Pitchford, WS, Bottema, CD, Lee, MA 2007. Fatty acid synthase effects on bovine adipose fat and milk fat. Mammalian Genome 18, 6474.Google Scholar
Nkrumah, JD, Basarab, JA, Wang, Z, Li, C, Price, MA, Okine, EK, Crews, DH, Moore, SS 2007. Genetic and phenotypic relationships of feed intake and measures of efficiency with growth and carcass merit of beef cattle. Journal of Animal Science 85, 27112720.CrossRefGoogle ScholarPubMed
Oka, A, Iwaki, F, Dohgo, T, Ohtagaki, S, Noda, M, Shiozaki, T, Endoh, O, Ozaki, M 2002. Genetic effects on fatty acid composition of carcass fat of Japanese Black Wagyu steers. Journal of Animal Science 76, 8795.Google Scholar
Okanishi, T, Shojo, M, Katsuta, T, Oyama, K, Mukai, F 2008. Genetic analysis of residual feed intakes and other performance test traits of Japanese Black cattle from revised protocol. Animal Science Journal 79, 291296.CrossRefGoogle Scholar
O'Keefe, PW, Wellington, GH, Mattick, LR, Stouffer, JR 1968. Comparison of bovine muscle lipids at various carcass locations. Journal of Food Science 33, 188192.CrossRefGoogle Scholar
Pitchford, WS, Deland, MPB, Siebert, BD, Malau-Aduli, AEO, Bottema, CDK 2002. Genetic variation in fatness and fatty acid composition of crossbred cattle. Journal of Animal Science 80, 28252832.Google Scholar
Robinson, DL, Oddy, VH 2004. Genetic parameters for feed efficiency, fatness, muscle area and feeding behaviour of feedlot finished beef cattle. Livestock Production Science 90, 255270.Google Scholar
Wagyu Registry Association 2000. The handbook for Wagyu registration. WRA, Kyoto, Japan (In Japanese).Google Scholar
Westerling, DB, Hedrick, HB 1979. Fatty acid composition of bovine lipids as influenced by diet, sex and anatomical location and relationship to sensory characteristics. Journal of Animal Science 48, 13431348.Google Scholar
Xie, YR, Busboom, JR, Gaskins, CT, Johnson, KA, Reeves, JJ, Wright, RW, Cronrath, JD 1996. Effects of breed and sire on carcass characteristics and fatty acid profiles of crossbred Wagyu and Angus steers. Meat Science 43, 167177.Google Scholar
Yoshimura, T, Namikawa, K 1985. Influence of breed, sex and anatomical location on lipid and fatty acid composition of bovine intermuscular fat. Japanese Journal of Zootechnical Science 56, 122129.Google Scholar
Zembayashi, M, Nishimura, K, Lunt, DK, Smith, SB 1995. Effect of breed type and sex on the fatty acid composition of subcutaneous and intramuscular lipids of finishing steers and heifers. Journal of Animal Science 73, 33253332.CrossRefGoogle ScholarPubMed