INTRODUCTION
Selection focusing the economically important quantitative traits have made a great impact on the genetic improvement of farm animals over recent decades. Recent developments in genomic technologies have also being significantly contributed to the genetic progress as which enhanced accuracy and intensity of the selection and shortening the generation intervals [1–4]. However, many researchers believe that the rate of further genetic improvement will not be much as previous [2,5]. Therefore, they focus alternative strategies for enhancement of livestock production since which critical to fulfilling the ever increasing demand with the population growth.
Production and performance of the farm animals are primarily determined by the genotype (heritable) and environmental (non-heritable) factors, where nutrition plays a major role as an environmental determinant [6]. In term of nutritional aspects, feed efficiency has a major influence on farm profitability since feed cost is the single most significant cost component in the total livestock production cost. Furthermore, feed cost for beef cattle has increased by 70%–80% over the last decade [7,8]. Feed efficiency of cattle has greatly enhanced over the past few decades, mostly as a byproduct of the selection over the other quantitative production traits [5]. However, it will be harder to improve the feed efficiency further by just focusing the selection for production traits. Therefore, emphasis has been laid on the importance of dietary management in the context of individual genetic background focusing on the enhancement of the production, profit as well as environmental sustainability [9].
Historically, Hanwoo (Korean native cattle) was extensively a draft animal used for agriculture but it has been systematically and intensively bred over the last 30 years to improve as a meat breed for production of high marbled meat [10–12]. Hanwoo selection index basically uses three carcass traits, eye muscle area (EMA), backfat thickness (BFT) and marbling score (MS) with a weight ratio of standardized breeding values of 1: −1: 6, respectively [10,13]. On the other hand, marbling the accumulation and distribution of intramuscular fat [IMF] is the most important factor determining the quality and the market value of beef [14–17]. In this study, since MS is the crucial trait for genetic selection, we firstly focused on grouping animals based on their genetic merits for MS.
On the other hand, dietary energy level also plays a key role in production of high quality beef. Thus, Hanwoo feedlot system typically uses high-energy corn based diet over a long fattening period [18]. Recently, Chung et al. [19] showed the influence of high energy diet (+2% total digestible nutrient [TDN]) on enhancing the quality grades (QG) of Hanwoo carcass. Accordingly, we observed some farmers tend to use more than the recommended TDN level to enhance the deposition of marbling, especially toward the final fattening period. To cater to farmer’s demand, some feed companies also add extra energy in their fattening feed. Therefore, in this study, we investigate the effect of divergent selection for estimated breeding value of MS (MS-EBV) and the level of energy in the feed (+2% TDN) on the carcass MS of Hanwoo steers. Moreover, since farmer’s perspectives and market aspects, QG is important in Hanwoo feedlot system, we appraised the effect of our nutrigenomic based management model on Korean beef quality grading stands.
MATERIALS AND METHODS
Animal
Total of 111 calves of the progeny of Korean proven bulls from Pyeongchang commercial Hanwoo feedlot were used for this study. Research was started when calves were introduced to feedlot system from the cow-calf operation at average age of six months and had attained average live weight 196.97 ± 18.5 kg. This research was conducted following the animal health and welfare guidelines of Institutional Animal Care and Use Committee of the National Institute of Animal Science, Rural Development Administration, Korea (Approve No: NIAS 2015-112).
Management
Present nutrigenomics based precision management model suggesting two key steps as; initial genetic grouping and subsequent management grouping.
Initial grouping based on genetic merit for marbling score
Genomic DNA from all the selected steers were extracted from blood samples using the standard methods. Samples were genotyped with the Illumina Bovine single nucleotide polymorphism (SNP)50 BeadChip (50K, Illumina, SanDiego, CA, USA). Reference population of 2,394 animals of the progeny of Korean proven bulls that are both genotyped and phenotyped by National Institute of Animal Science, RDA, Korea were used to estimate the breeding value of MS. Genotype quality control performed based on the following exclusion criteria: Hardy–Weinberg equilibrium < 0.0001(768 SNP were removed), missing genotype < 0.1 (12,317 SNP were removed) and minor allele frequencies < 0.01(6848 SNP were removed), using PLINK 1.9 software [20]. Non-autosomal SNPs were also removed from analyses. Out of 54,609 SNPs a total of 34,676 SNPs were retained after the quality control for further analyses. To estimate the genomic breeding value (EGBV), genomic best linear unbiased prediction (GBLUP) approach [21,22] was applied with the following model using ASReml 4.1 software [23]. Genomic relationship matrix was derived by GCTA software [24].
The mixed model equation used was; Y = Xβ + Zu + e
Where Y is a vector of phenotypic observation for MS, β is a vector of fixed effects, u is a vector for random effect and e is a vector of random residual terms, and X and Z the corresponding design matrices.
Steers were ranked based on the MS-EBV and drafted into two groups; steers with MS-EBV greater than the mean (0.2) were assigned into high EBV group and less than mean allocated to low EBV group. Among the 111 steers, 54 steers were assigned to the low EBV group while the rest of the 57 steers were drafted into the high EBV group (Fig. 1).
Fig. 1. Graphical illustration of research design. Control, existing feed recommendations; High TDN, control +2% TDN; MS-EBV, genomic estimated breeding value for marling score; TDN, total digestible nutrition.
Management of dietary energy level and measurement of body weight
All animals used in this experiment were raised in a pen with group feeding procedure using the standard Korean feedlot management system. Animals were assigned to the pens following the randomized 2 × 2 factorial arrangement, including four heads per each pen. An equal number of pens of each genetic groups were again randomly designated to the nutrition treatments according to the Table 1 and Fig. 1. All the rations used in the experiment were prepared by commercial feed manufacturer following the Table 1. Nutritional composition of the control feed is comparable with the existing feeds which followed the current recommendations and the treatment contained approximately 2% higher TDN than the control. Accordingly, all the experimental steers were managed under two levels of feed TDN%, over the growing period, early and final fattening periods. Growing period; First 6 months of the experiment (6–11 months) steers were fed by growing ration according to Table 1 along with the ad-libitum supply of high quality hay. Whereas, the ration was gradually increased from 3–4.2 kg/day/ animal. Early fattening period; During the 12 to 20 months they were fed with the early fattening ration which increased steadily from 4.5 to 9.2 kg while hay was gradually substituted by rice straw. At the final fattening period (21–30 months) the rate of the concentrate was raised to 90% while providing only 10% rice straw. Final fattening ration offered freely up to 9.5–10 kg/day/ animal whereas, rice straw supply was regularly reduced up to 1–0.5 kg/ day/ animal. Growth performance analysis for the fattening period was conducted at the following intervals: growing, fattening period of feeding. Steers were weighed three times (6, 13, and 30 months) during the experiment period on a scale (CAS, Yangju, Korea) in the early morning before being fed. Animals had ad libitum access to fresh water and mineral salts blocks throughout the period.
Table 1. Feed ingredients and nutrients composition of the treatment rations (DM basis, %)
1)Specials: Pre-/Probiotics, organic minerals, buffers, taster & flavors etc.
DM, dry matter; TDN, total digestible nutrients; DDGS, dried distiller’s grains with solubles; PX, premix; ADF, acid detergent fiber; NDF, neutral detergent fiber.
Evaluation marbling score, backfat thickness and Korean quality grading standard
The animals were fasted off feed for around 12 hours after transported them to the local abattoir, while they had free access to water. On the following day, animals were slaughtered according to the Korean standard procedures [25]. After 24 hours chilling, the left side of the carcasses were ribbed between the 13th rib and the 1st lumber vertebra and evaluated for MS and BFT (mm) [26].
According to the Korean carcass grading Procedure, Carcasses were evaluated for the QG by experienced official grader. Carcasses were categorized in to five QGs (grade 1++, 1+ , 1, 2, 3) based on the MS (1 = devoid, 9=abundant), lean meat color (1 = very bright red, 7 = very dark red), fat color (1=creamy white, 7=yellowish), firmness and texture of lean (1 = firm, 3 = soft) and maturity (1 = youthful, 3 = mature) of the longissimus dorsi (LD) muscle [25].
Statistical analysis
Carcass traits were analyzed using the following linear mixed models to identify the effect of genetic selection for MS-EBV and dietary energy levels. A divergent group for genetic merit, different feeding plan, slaughter year, slaughter month and birth month were served as a fixed effect and animal effect was included as a random effects. Age at slaughter was included as a covariate:
Yijkmnopq = µ + Gi + Nj + (G *N)k + Agm + SYn + SMo + BMp + Aq + eijkmnopq
Where Y ijklmn indicates the carcass traits, µ is overall mean, Gi is divergent group according to the MS-EBV high or low, Nj is feeding plan; control or high TDN, (G *N)k is the interaction of the genetic group and feeding plan, Agm is Age at slaughtering, SYn is slaughter year, SMo is slaughter months, BMp is birth month, Aq is Animal effect, eijkmnopq is the random residual effect.
The statistical significant differences between data were analyzed with ANOVA, followed by Fisher’s Least Significant Difference (LSD) test at a significance level of 0.05. All data were analyzed using the statistical software package R [27].
RESULTS
The initial body weight did not differ (p > 0.05) between the two dietary treatments. However, the initial body weight was greater in the high MS-EBV group compared to the low MS-EBV group. The average daily gain was not influenced (p > 0.05) by either MS-EBV or dietary treatment (Table 2). Summary statistics for the number of steers for each carcass trait, mean, standard deviation, range, and breeding value for MS are shown in Table 3. The number of animals accounting for each QG is shown in Table 3. The mean value of the MS-EBV was 0.2 with the range between −0.86 to 0.99. Steers that were selected for divergence in genetic merit for MS showed difference (p < 0.05) in phenotypic MS at the end of fattening period (Table 4). Thus, the results clearly indicate that direct response to the divergent selection on MS-EBV (p < 0.05). However, MS did not differ (p > 0.05) between the control and the high TDN nutrition groups. Even though, this study primarily focused on interaction between the genetic and nutrition, the results did not show an interaction (p > 0.05) between the MS-EBV and the dietary TDN level on carcass MS.
Table 2. Effect of divergent selection for genetic merits for MS and nutritional treatment (different TDN level) on growth performance of the Hanwoo steers
1)High TDN, control +2% TDN.
2)E × D, interaction between MS-EBV and dietary TDN level.
MS, marbling score; TDN, total digestible nutrient; EBV, genomic estimated breeding value for marling score; IBW, initial body weight; ADG, average daily gain.
Table 3. Description of carcass traits, estimate breeding values for marbling scores and carcass quality grades
MS, marbling score; BFT, back-fat thickness; MS-EBV, estimated genomic breeding value for marbling score.
Table 4. Effect of divergent selection for genetic merits for MS and nutritional treatment (different TDN level) on carcass traits of the Hanwoo steers
1)High TDN, control +2% TDN
2)E × D, interaction between MS-EBV and dietary TDN level.
MS, marbling score; TDN, total digestible nutrient; EBV, genomic estimated breeding value for marling score; BFT, backfat thickness.
The other important feature of this model was the selection based on genetic merit for MS or the level of TDN in feed did not affect (p > 0.05) on the carcass BFT deposition. Moreover, MS was greatly increased (p < 0.05) when High TDN nutrition plan applied on the high genetic (MS-EBV) steers compared to low genetic steers managed under low nutrition plan.
Ultimate turnover of the Hanwoo feedlot operation is mainly determined based on the QG [28]. Fig. 2 illustrates the proportion of carcasses assigned to QG according to the main effects and the combinations. As a direct consequence of the divergent selection for MS, the proportion of QG1++ and QG1+ carcasses were greatly increased in high MS-EBV group (81.82%) compared to the low MS-EBV group (64.29%). However, the cumulative proportion of higher QG carcasses (QG1++ and QG1+) almost similar between the nutrition treatments. The results showed approximately 10% increase in QG1++ by both main effects; genetic merit for MS and dietary TDN level. Furthermore, initial grouping for high MS-EBV and feed them high TDN plan increased the ratio of animals graded to QG1++ by 15.1% compared to the steers with the same genetic merit but managed under control ration. However, no difference in the number of carcasses belongs to QG1++ and QG1+ in both genetic groups regardless the feed TDN level. Moreover, carcasses graded for lowest QG (QG 3) were found only from the low MS-EBV steers when they manage under control ration.
Fig. 2. Effect of divergent selection for MS-EBV and nutritional treatment (different TDN level) on carcass quality grades. Control, existing feed recommendations; High TDN, control +2% TDN; MS, marbling score; EBV, genomic estimated breeding value; TDN, total digestible nutrition.
DISCUSSION
The intention of the breeding is to improve the desirable genetic traits in future generations. Most of the economically important traits are environmentally dependent biological traits. Variation in those traits is primarily caused by genetic, environmental and genotype by environment interactions [29,30]. Therefore, even though the animals select for genetic merits do not necessarily have the best phenotype across the different environmental conditions [29,31,32]. On the other hand, variation exist among the individuals throughout the livestock supply chains make an unwanted nuisance, which affects the productivity of the farm operation [9]. Therefore, the illustrated the importance of initial grouping of the animals based on their genetic merits before entering the supply chains that help to reduce the genetic variation within the groups. Subsequently, the formation of management subgroups with minimal variation among the animals that are already in the supply chain will lead to achieving the maximum productivity and efficiency of the system than the sole management regime. This experiment provides compelling evidence for importance of the initial grouping based on the genetic merits before entering to the feedlot system and the subsequent management grouping for Hanwoo steers.
Marbling is the most important value-determinant in the Korean beef market. The present genomic based precision management model imply the advantage of divergent selection based on genetic merit for MS since which directly influence on enhancing the phenotypic MS. Intrinsic (genetic) and extrinsic (nutrition and management) factors exert the most impact on the complex process of formation and composition of IMF in cattle [17,33,34]. In genetic terms, marbling is a complex and highly polygenetic trait controlled by many genes with a small effect [15,35,36]. Numerous studies screened the diverse expression pattern of several genes with the level of marbling, especially for high marbling breeds like Hanwoo [37–49]. Accordingly, divergent expression pattern of the gene responsible for MS enables the genotype-based selection approach. On the other hand, heritability variation of the traits determines the potential for responding to the selection, where moderate or high heritable traits responding well to genetic selection [50,51]. Previous studies of Lee et al. [10], Hwang et al. [52], Yoon et al. [53] found moderate to high estimated heritability of MS of Hanwoo was 0.4, 0.56 and 0.57 respectively. Which reflect the potential of responding to the selection for MS of Hanwoo cattle.
One of the major concerns of the sustainable beef production system is to increase marbling without increasing the overall fatness. All the excess fat produced by subcutaneous adipocytes are trimmed off before consumption and which adversely affect feed efficiency. Especially, this topic is much important in East Asian beef market since they preferred high marble beef compared the rest of the world. Even though both are fat related traits, present results confirmed that the genetic selection for marbling could increase the carcass MS without increasing the BFT of Hanwoo steers. Correspondingly, few previous studies such as Vieselmeyer et al. [54] and Gwartney et al. [55] also revealed that selection based on expected progeny difference (EPD) for marbling can be utilized to increase marbling ability without increasing the external fat. Moreover, it has shown a very low genetic (−0.2 – 0.17) and phenotypic (−0.02 0.19) correlation between the MS and BFT for Hanwoo steers [10,52,53,56,57], which confirm the less or no correlation response to the selection for MS on BFT of Hanwoo. Likewise, Rincker et al. [58] also revealed that estimated progeny difference for MS was correlated (p < 0.05) with MS (r = 0.44) and IMF percentage (r = 0.27) while no correlation was found with the BFT (r= −0.04). In addition, Martínez-Álvaro et al. [59] showed that divergent selection of IMF lead to the genetic progress in rabbit followed a symmetrical trend for phenotypic difference between the high-IMF and low-IMF lines.
An animal needs energy for its maintenance, growth, reproduction, and production. Beyond that requirement, ultimately excess energy will be accumulated as a carcass fat [60] However, fat accretion throughout the body is not homogeneous. There is a specific order to the process, with abdominal fat being formed first, followed by intermuscular, subcutaneous, and finally, deposited as an IMF [61]. The morphology, cellular and biochemical characteristics of the adipose tissues are varied at a different site of the body [62] such as the diameter of the adipocyte are much smaller in intermuscular depot than the subcutaneous fat [63,64]. On the other hand, the source of energy used to synthesize fat is diverse in the different site of the body fat depot. Subcutaneous adipose tissue primarily uses acetate for lipid synthesis, which is a volatile fatty acid produced by rumen fermentation. Whereas, intramuscular adipose tissue utilize glucose as an energy source for fatty acid synthesis [65,66]. Therefore, it is possible to use nutritional strategies such as a manipulation of diets to enhance IMF deposition by increasing the glucose supply [34]. Likewise, several studies showed that IMF content of beef cattle can be promoted by high-energy grain rations compared to the forage-based feeding systems [61,67–69]. Accordingly, Hanwoo cattle are typically fed a high-energy concentrate diet throughout the prolonged feedlot system focusing on the greater marbling deposition [70]. However, the present study did not show an effect of dietary TDN level on the carcass MS. This might be due to that just 2% increase of TDN may not be enough to express significant variation in IMF%, since the control ration already containing a superior energy content (TDN % in growing, early fattening and final fattening control rations were 70.53, 71.00 and 73.01 respectively). Current results are consistent with the previous study of Chung et al. [19] as high energy diet (+2% TDN) did not contribute (p > 0.05) to the MS or BFT of Hanwoo carcass. Nevertheless, Li et al. [71] showed 10% different in TDN had a significant effect on IMF% in Angus×Chinese Xiangxi yellow cattle. Ladeira et al. [34] and Ladeira et al. [72] reviewed the nutrigenomics aspects focusing the how nutrient and diet manipulation is influenced on the expression of genes involving lipid metabolism and marbling of beef cattle. However, the present study did not find an interaction between MS-EBV and the dietary TDN level. This also might be due to the limited difference in TDN% among the dietary treatments and the method we used to assign the genetic groups based on their mean MS-EBV. If the animals divided into highest and lowest genetic groups by excluding the intermediate animals as Herd et al. [73] did, the results would be more precious. However, due to the limitation of available animals at the research facility and high experimental budget, we tried to maximize the representing samples.
In general, beef QG reflect the expected eating quality of the carcasses. After introduced the Korean carcass grading system in 1992, a substantial price difference can be seen according to the QGs [57]. Therefore, to obtain a greater value at the auction, Hanwoo farmers usually trying to increase the carcass QGs by enhancing the marbling deposition [74]. Auction price of QG1++ is almost double than the QG3, as average QG 1++ was 18.10 $/kg, QG1+ was 16.35 $/kg, QG1 was 15.25 $/kg, QG2 was 12.97 $/kg and QG3 was 9.58 $/kg in the Korean market in 2017 [25]. In economic aspects, if farmers would be able to upgrade the QG of a carcass by one grade, the average income per animal will be increase almost by 1,000 $ (as the average carcass weight [CWT] of the studied animals was 455.22 kg).
In terms of QG also, the present study revealed the significance of genetic based nutritional management strategy to uplift the Hanwoo production system. There appears to be a potential to increase the proportion of higher QGs, while minimizing the occurrences of lower QGs by initial genetic grouping for MS-EBV. Likewise, application of high TDN nutrition plan on the steers with high genetic merit had shown further enhancement in the proportion of QG1++. Interestingly, our results showed even under 2% less dietary TDN plan, both high and low MS-EBV groups produced similar proportion of cumulative highest two QGs. This is important in economic aspects since the feeding cost accounts almost 40% of the total production cost and the largest single cost component of the Hanwoo industry. Corresponding to the present study, Cho et al. [75] and Moon et al. [76] also showed a significant influence of MS on the QG of Hanwoo carcass. Likewise, Piao et al. [74] and Panjono et al. [77] reported high correlation between MS and QG (r = 0.98). Vieselmeyer et al. [54] and Gwartney et al. [55] observed similar results to our as substantially more cattle in high EPD-MS group graded into USDA choice grade than the low EPD-MS group. Rincker et al. [58] also showed a noticeable correlation between EPD-MS and QG (r = 0.40). In addition, among the 205,070 Hanwoo steers were slaughtered in South Korea in 2017, average 14.3% were graded to QG 1++, 48.3% were graded to QG 1+ , 24.4% were graded to QG 1, 12.0% were graded to QG 2, and 0.9%were graded to QG 3 [25]. Compared to the prevailing country average, application of present nutrigenomic based management model is prospective to develop the productivity of Hanwoo industry by enhance the superior QGs, while reducing the inferior QGs.
Moreover, our model enables that importance of initial grouping based on the genetic merit and divergent management focusing the different production goals. Hanwoo farmers in Korean peninsula use a common management strategy for all the animals based only on the fattening stages. Especially, they use an ad libitum high-energy concentrate feeds supply for an extended fattening phase up to 30 months in average. However, it could cause to huge economic and environmental loss if animal produced low MS at the end. On the other hand, aiming at high accumulation of IMF, they normally practice castration at 6 months of age. Although it is well known that castration induces the deposition of marbling, it has a detrimental effect on growth rate [78,79]. Therefore, if the animal unable to produce high MS, there is no need to castrate them earlier since it adversely affects on the CWT. Accordingly, the existing management strategy is more appropriate for the animals with high genetic merit for MS. In addition, present results suggest it is possible to further raise the TDN level of the ration, especially toward the end of the fattening period for high MS-EBV steers. Likewise, for the animals prospective for low marble deposition could be focus CWT instead of MS. Therefore, it is possible to consider an alternative management strategy for them; they can be subjected to late castration and reduced the endpoint like other beef breeds while managing under low energy diet. However further researches are needed to confirm and expand the present findings before recommendation.
CONCLUSION
This experiment confirmed the importance of initial genetic selection of Hanwoo steers based on MS-EBV since the results revealed the significant direct response to the selection. However, no correlation response on the carcass BFT, indicating that the selection based on MS-EBV can be used to enhance the MS without undesirable affect on the Back fat deposition. Dietary treatment (+2%TDN) did not show an effect on the carcass marbling deposition. Further, there was no genetic-by-nutrition interaction for MS. The present model shows that the initial grouping for MS-EBV increased the proportion of carcasses graded for higher QGs (QG1++ and QG1+), which will enhance the ultimate return of the farmers. Moreover, it is potential to increase the proportion of QG 1++ animals among the high MS-EBV group by further increasing their dietary energy content. Overall, this nutrigenomic based management approach for Hanwoo steers provides compelling evidence for importance of the initial grouping based on the genetic merits before enter to the feedlot, with a subsequent divergent management based on dietary energy level.
References
- Dekkers JCM. Application of genomics tools to animal breeding. Curr Genomics. 2012;13:207-12. https://doi.org/10.2174/138920212800543057
- Hill WG. Is continued genetic improvement of livestock sustainable? Genetics. 2016;202:877-81. https://doi.org/10.1534/genetics.115.186650
- Boichard D, Ducrocq V, Croiseau P, Fritz S. Genomic selection in domestic animals: principles, applications and perspectives. C R Biol. 2016;339:274-7. https://doi.org/10.1016/j.crvi.2016.04.007
- Schefers JM, Weigel KA. Genomic selection in dairy cattle: integration of DNA testing into breeding programs. Anim Front. 2012;2:4-9. https://doi.org/10.2527/af.2011-0032
- VandeHaar MJ, Armentano LE, Weigel K, Spurlock DM, Tempelman RJ, Veerkamp R. Harnessing the genetics of the modern dairy cow to continue improvements in feed efficiency. J Dairy Sci. 2016;99:4941-54. https://doi.org/10.3168/jds.2015-10352
- Asmelash B, Mahlet D, Brhane H. Livestock nutrigenomics applications and prospects. J Vet Sci Technol. 2018;9:1000506. https://doi.org/10.4172/2157-7579.1000506
- Chung CS, Cho WK, Jang IS, Lee SS, Moon YH. Effects of feeding system on growth performance, plasma biochemical components and hormones, and carcass characteristics in Hanwoo steers. Asian-Australas J Anim Sci. 2017;30:1117-23. https://doi.org/10.5713/ajas.17.0166
- Kim TI, Mayakrishnan V, Lim DH, Yeon JH, Baek KS. Effect of fermented total mixed rations on the growth performance, carcass and meat quality characteristics of Hanwoo steers. Anim Sci J. 2018;89:606-15. https://doi.org/10.1111/asj.12958
- Kinghorn BP. The use of genomics in the management of livestock. Anim Prod Sci. 2012;52:78-91. https://doi.org/10.1071/AN11092
- Lee SH, Park BH, Sharma A, Dang CG, Lee SS, Choi TJ, et al. Hanwoo cattle: origin, domestication, breeding strategies and genomic selection. J Anim Sci Technol. 2014;56:2. https://doi.org/10.1186/2055-0391-56-2
- Kim S, Choi HJ, Alam M, Park MN. Breeding initiatives for Hanwoo cattle to thrive as a beef industry - a review study. J Anim Breed Genomics. 2017;1:102-24. https://doi.org/10.12972/jabng.20170011
- Choi JW, Choi BH, Lee SH, Lee SS, Kim HC, Yu D, et al. Whole-genome resequencing analysis of Hanwoo and Yanbian cattle to identify genome-wide SNPs and signatures of selection. Mol Cells. 2015;38:466-73. https://doi.org/10.14348/molcells.2015.0019
- Kim HS, Hwang JM, Choi TJ, Park BH, Cho KH, Park C, et al. Research on the reformation of the selection index for Hanwoo proven bull. J Anim Sci Technol. 2010;52:83-90. https://doi.org/10.5187/JAST.2010.52.2.083
- Wood JD, Enser M, Fisher AV, Nute GR, Sheard PR, Richardson RI, et al. Fat deposition, fatty acid composition and meat quality: a review. Meat Sci. 2008;78:343-58. https://doi.org/10.1016/j.meatsci.2007.07.019
- Lim D, Kim NK, Lee SH, Park HS, Cho YM, Chai HH, et al. Characterization of genes for beef marbling based on applying gene coexpression network. Int J Genomics. 2014;2014:708562. https://doi.org/10.1155/2014/708562
- Park H, Seo S, Cho YM, Oh SJ, Seong HH, Lee SH, et al. Identification of candidate genes associated with beef marbling using QTL and pathway analysis in Hanwoo (Korean cattle). Asian-Australas J Anim Sci. 2012;25:613-20. https://doi.org/10.5713/ajas.2011.11347
- Cheng W, Cheng JH, Sun DW, Pu H. Marbling analysis for evaluating meat quality: methods and techniques. Compr Rev Food Sci Food Saf. 2015;14:523-35. https://doi.org/10.1111/1541-4337.12149
- Chung KY, Lee SH, Cho SH, Kwon EG, Lee JH. Current situation and future prospects for beef production in South Korea - a review. Asian-Australas J Anim Sci. 2018;31:951-60. https://doi.org/10.5713/ajas.18.0187
- Chung KY, Chang SS, Lee EM, Kim HJ, Park BH, Kwon EG. Effects of high energy diet on growth performance, carcass characteristics, and blood constituents of final fattening Hanwoo steers. CNU J Agric Sci. 2015;42:261-8. https://doi.org/10.7744/cnujas.2015.42.3.261
- Purcell S, Neale B, Todd-Brown K, Thomas L, Ferreira MAR, Bender D, et al. PLINK: a tool set for whole-genome association and population-based linkage analyses. Am J Hum Genet. 2007;81:559-75. https://doi.org/10.1086/519795
- VanRaden PM. Efficient methods to compute genomic predictions. J Dairy Sci. 2008;91:4414-23. https://doi.org/10.3168/jds.2007-0980
- Goddard M. Genomic selection: prediction of accuracy and maximisation of long term response. Genetica. 2009;136:245-57. https://doi.org/10.1007/s10709-008-9308-0
- Glimour AR, Gogel BJ, Cullis BR, Welham SJ, Thompson RT. ASReml user guide release 4.1 structural specification [Internet]. VSN international. 2015 [cited 2015 Sep 18]. https://www.hpc.iastate.edu/sites/default/files/uploads/ASREML/UserGuideStructural.pdf
- Yang J, Lee SH, Goddard ME, Visscher PM. GCTA: a tool for genome-wide complex trait analysis. Am J Hum Genet. 2011;88:76-82. https://doi.org/10.1016/j.ajhg.2010.11.011
- Cheong JH, Yoo SW, Kim YJ, Han SH, Nam SY, et al. 2017 Animal products grading statistical yearbook. Sejong: Korea Institute for Animal Products Quality Evaluation; 2018.
- Choi CB, Jung KK, Chung KY, Yang BS, Chin KB, Suh SW, et al. Administration of zilpaterol hydrochloride alters feedlot performance, carcass characteristics, muscle, and fat profiling in finishing Hanwoo steers. Livest Sci. 2013;157:435-41. https://doi.org/10.1016/j.livsci.2013.06.035
- R Core Team. R: a language and environment for statistical computing [Internet]. R Foundation for Statistical Computing. 2014 [cited 2015 Feb 10]. https://www.R-project.org
- Choy YH, Park BH, Choi TJ, Choi JG, Cho KH, Lee SS, et al. Estimation of relative economic weights of Hanwoo carcass traits based on carcass market price. Asian-Australas J Anim Sci. 2012;25:1667-73. https://doi.org/10.5713/ajas.2012.12397
- Doeschl-Wilson AB, Knap PW, Kinghorn BP, Van der Steen HAM. Using mechanistic animal growth models to estimate genetic parameters of biological traits. Animal. 2007;1:489-99. https://doi.org/10.1017/S1751731107691848
- Mavrogenis AP, Constantinou A, Louca A. Environmental and genetic causes of variation in production traits of Damascus goats. 1. Pre-weaning and post-weaning growth. Anim Sci. 1984;38:91-7. https://doi.org/10.1017/S0003356100041398
- Vogt G, Huber M, Thiemann M, van den Boogaart G, Schmitz OJ, Schubart CD. Production of different phenotypes from the same genotype in the same environment by developmental variation. J Exp Biol. 2008;211:510-23. https://doi.org/10.1242/jeb.008755
- Hayes BJ, Daetwyler HD, Goddard ME. Models for genome × environment interaction: examples in livestock. Crop Sci. 2016;56:2251-9. https://doi.org/10.2135/cropsci2015.07.0451
- Park SJ, Beak SH, Jung DJS, Kim SY, Jeong IH, Piao MY, et al. Genetic, management, and nutritional factors affecting intramuscular fat deposition in beef cattle - a review. Asian-Australas J Anim Sci. 2018;31:1043-61. https://doi.org/10.5713/ajas.18.0310
- Ladeira MM, Schoonmaker JP, Gionbelli MP, Dias JCO, Gionbelli TRS, Carvalho RR, et al. Nutrigenomics and beef quality: a review about lipogenesis. Int J Mol Sci. 2016;17:918. https://doi.org/10.3390/ijms17060918
- Strucken EM, Al-Mamun HA, de Las Heras-Saldana S, Bedhane MN, Lim D, Park B, et al. Finding the marble - the polygenic architecture of intramuscular fat. J Anim Breed Genomics. 2017;1:69-76. https://doi.org/10.12972/jabng.20170008
- Lloyd SS, Valenzuela JL, Steele EJ, Dawkins RL. Genetics of marbling in Wagyu revealed by the melting temperature of intramuscular and subcutaneous lipids. Int J Food Sci. 2017;2017:3948408. https://doi.org/10.1155/2017/3948408
- Chen D, Li W, Du M, Wu M, Cao B. Sequencing and characterization of divergent marbling levels in the beef cattle (Longissimus dorsi muscle) transcriptome. Asian-Australas J Anim Sci. 2015;28:158-65. https://doi.org/10.5713/ajas.14.0394
- Kwon A, Srikanth K, Lee E, Kim S, Chung H. Confirmation of genotypic effects for the bovine APM1 gene on marbling in Hanwoo cattle. J Anim Sci Technol. 2016;58:15. https://doi.org/10.1186/s40781-016-0096-2
- Shin SC, Chung ER. Effect of single nucleotide polymorphism of endothelial differentiation G-protein coupled receptor 1 (EDG1) gene on marbling score in Hanwoo. Korean J Food Sci Anim. 2012;32:776-82. https://doi.org/10.5851/kosfa.2012.32.6.776
- Shin SC, Chung ER. Identification of differentially expressed genes between high and low marbling score grades of the longissimus lumborum muscle in Hanwoo (Korean cattle). Meat Sci. 2016;121:114-8. https://doi.org/10.1016/j.meatsci.2016.05.018
- Watanabe N, Yamada T, Yoshioka S, Itoh M, Satoh Y, Furuta M, et al. The T allele at the g.1471620G>T in the EDG1 gene associated with high marbling in Japanese Black cattle is at a low frequency in breeds not selected for marbling. Anim Sci J. 2010;81:142-4. https://doi.org/10.1111/j.1740-0929.2009.00704.x
- Sasaki Y, Nagai K, Nagata Y, Doronbekov K, Nishimura S, Yoshioka S, et al. Exploration of genes showing intramuscular fat deposition-associated expression changes in musculus longissimus muscle. Anim Genet. 2006;37:40-6. https://doi.org/10.1111/j.1365-2052.2005.01380.x
- Yamada T, Itoh M, Nishimura S, Taniguchi Y, Miyake T, Sasaki S, et al. Association of single nucleotide polymorphisms in the endothelial differentiation sphingolipid G-protein-coupled receptor 1 gene with marbling in Japanese Black beef cattle. Anim Genet. 2009;40:209-16. https://doi.org/10.1111/j.1365-2052.2008.01822.x
- Tong B, Fuke N, Himizu Y, Katou H, Hatano M, Ohta T, et al. No replicated association of the c.-312A > G in EDG1 with marbling in Niigata population of Japanese Black beef cattle. Open J Anim Sci. 2013;3:269-72. https://doi.org/10.4236/ojas.2013.34040
- Sukegawa S, Miyake T, Takahagi Y, Murakami H, Morimatsu F, Yamada T, et al. Replicated association of the single nucleotide polymorphism in EDG1 with marbling in three general populations of Japanese Black beef cattle. BMC Res Notes. 2010;3:66. https://doi.org/10.1186/1756-0500-3-66
- Sukegawa S, Miyake T, Ibi T, Takahagi Y, Murakami H, Morimatsu F, et al. Multiple marker effects of single nucleotide polymorphisms in three genes, AKIRIN2, EDG1 and RPL27A, for marbling development in Japanese Black cattle. Anim Sci J. 2014;85:193-7. https://doi.org/10.1111/asj.12108
- Chung ER. Novel SNP in the coding region of the FTO gene is associated with marbling score in Hanwoo (Korean cattle). J Anim Sci Technol. 2014;56:27. https://doi.org/10.1186/2055-0391-56-27
- Chung ER. A novel SNP in the coding region of the akirin2 gene and its association with marbling score in Hanwoo (Korean cattle). J Anim Sci Adv. 2015;5:1279-86. https://doi.org/10.5455/jasa.20150523094211
- Kim H, Lee SK, Hong MW, Park SR, Lee YS, Kim JW, et al. Association of a single nucleotide polymorphism in the akirin 2 gene with economically important traits in Korean native cattle. Anim Genet. 2013;44:750-3. https://doi.org/10.1111/age.12055
- Bijma P. A general definition of the heritable variation that determines the potential of a population to respond to selection. Genetics. 2011;189:1347-59. https://doi.org/10.1534/genetics.111.130617
- Burrow HM, Moore SS, Johnston DJ, Barendse W, Bindon BM. Quantitative and molecular genetic influences on properties of beef: a review. Aust J Exp Agric. 2001;41:893-919. https://doi.org/10.1071/EA00015
- Hwang JM, Cheong JK, Kim SS, Jung BH, Koh MJ, Kim HC, et al. Genetic analysis of ultrasound and carcass measurement traits in a regional Hanwoo steer population. Asian-Australas J Anim Sci. 2014;27:457-63. https://doi.org/10.5713/ajas.2013.13543
- Yoon HB, Seo KS, Kim SD, Cho YM, Na SH, Park CJ, et al. Estimation of genetic parameters for direct genetic effect for carcass traits of Hanwoo (Korean brown cattle) steers. In: 7th World Congress on Genetics Applied to Livestock Production; 2002; Montpellier, France. Communication N° 02-89.
- Vieselmeyer BA, Rasby RJ, Gwartney BL, Calkins CR, Stock RA, Gosey JA. Use of expected progeny differences for marbling in beef: I. production traits. J Anim Sci. 1996;74:1009-13. https://doi.org/10.2527/1996.7451009x
- Gwartney BL, Calkins CR, Rasby RJ, Stock RA, Vieselmeyer BA, Gosey JA. Use of expected progeny differences for marbling in beef: II. carcass and palatability traits. J Anim Sci. 1996;74:1014-22. https://doi.org/10.2527/1996.f7451014x
- Bhuiyan MSA, Kim HJ, Lee DH, Lee SH, Cho SH, Yang BS, et al. Genetic parameters of carcass and meat quality traits in different muscles (longissimus dorsi and semimembranosus) of Hanwoo (Korean cattle). J Anim Sci. 2017;95:3359-69. https://doi.org/10.2527/jas.2017.1493
- Do C, Park B, Kim S, Choi T, Yang B, Park S, et al. Genetic parameter estimates of carcass traits under national scale breeding scheme for beef cattle. Asian-Australas J Anim Sci. 2016;29:1083-94. https://doi.org/10.5713/ajas.15.0696
- Rincker CB, Pyatt NA, Berger LL, Faulkner DB. Relationship among GeneSTAR marbling marker, intramuscular fat deposition, and expected progeny differences in early weaned Simmental steers. J Anim Sci. 2006;84:686-93. https://doi.org/10.2527/2006.843686x
- Martinez-Alvaro M, Hernandez P, Blasco A. Divergent selection on intramuscular fat in rabbits: responses to selection and genetic parameters. J Anim Sci. 2016;94:4993-5003. https://doi.org/10.2527/jas.2016-0590
- Graham JF, Byron J, Clark AJ, Kearney G, Orchard B. Effect of postweaning growth and bulls selected for extremes in retail beef yield and intramuscular fat on progeny liveweight and carcass traits. Anim Prod Sci. 2009;49:493-503. https://doi.org/10.1071/EA08181
- Pethick DW, Harper GS, Oddy VH. Growth, development and nutritional manipulation of marbling in cattle: a review. Aust J Exp Agric. 2004;44:705-15. https://doi.org/10.1071/EA02165
- Gil A, Olza J, Gil-Campos M, Gomez-Llorente C, Aguilera CM. Is adipose tissue metabolically different at different sites? Int J Pediatr Obes. 2011;6:13-20. https://doi.org/10.3109/17477166.2011.604326
- Yang XJ, Albrecht E, Ender K, Zhao RQ, Wegner J. Computer image analysis of intramuscular adipocytes and marbling in the longissimus muscle of cattle. J Anim Sci. 2006;84:3251-8. https://doi.org/10.2527/jas.2006-187
- Schoonmaker JP, Fluharty FL, Loerch SC. Effect of source and amount of energy and rate of growth in the growing phase on adipocyte cellularity and lipogenic enzyme activity in the intramuscular and subcutaneous fat depots of Holstein steers. J Anim Sci. 2004;82:137-48. https://doi.org/10.2527/2004.821137x
- Gilbert CD, Lunt DK, Miller RK, Smith SB. Carcass, sensory, and adipose tissue traits of Brangus steers fed casein-formaldehyde-protected starch and/or canola lipid. J Anim Sci. 2003;81:2457-68. https://doi.org/10.2527/2003.81102457x
- Smith SB, Kawachi H, Choi CB, Choi CW, Wu G, Sawyer JE. Cellular regulation of bovine intramuscular adipose tissue development and composition. J Anim Sci. 2009;87:E72-82. https://doi.org/10.2527/jas.2008-1340
- Williams JE, Wagner DG, Walters LE, Horn GW, Waller GR, Sims PL, et al. Effect of production systems on performance, body composition and lipid and mineral profiles of soft tissue in cattle. J Anim Sci. 1983;57:1020-8. https://doi.org/10.2527/jas1983.5741020x
- Meteer WT, Retallick KM, Faulkner DB, Adcock JW, Shike DW. Effects of weaning age and source of energy on beef calf performance, carcass characteristics, and economics. Prof Anim Sci. 2013;29:469-81. https://doi.org/10.15232/S1080-7446(15)30268-0
- Chung KY, Lunt DK, Kawachi H, Yano H, Smith SB. Lipogenesis and stearoyl-CoA desaturase gene expression and enzyme activity in adipose tissue of short- and long-fed Angus and Wagyu steers fed corn- or hay-based diets. J Anim Sci. 2007;85:380-7. https://doi.org/10.2527/jas.2006-087
- Jo C, Cho SH, Chang J, Nam KC. Keys to production and processing of Hanwoo beef: a perspective of tradition and science. Anim Front. 2012;2:32-8. https://doi.org/10.2527/af.2012-0060
- Li L, Zhu Y, Wang X, He Y, Cao B. Effects of different dietary energy and protein levels and sex on growth performance, carcass characteristics and meat quality of F1 Angus × Chinese Xiangxi yellow cattle. J Anim Sci Biotechnol. 2014;5:21. https://doi.org/10.1186/2049-1891-5-21
- Ladeira MM, Schoonmaker JP, Swanson KC, Duckett SK, Gionbelli MP, Rodrigues LM, et al. Review: nutrigenomics of marbling and fatty acid profile in ruminant meat. Animal. 2018;12:s282-94. https://doi.org/10.1017/S1751731118001933
- Herd RM, Arthur PF, Bottema CDK, Egarr AR, Geesink GH, Lines DS, et al. Genetic divergence in residual feed intake affects growth, feed efficiency, carcass and meat quality characteristics of Angus steers in a large commercial feedlot. Anim Prod Sci. 2014;58:164-74. https://doi.org/10.1071/AN13065
- Piao MY, Jo C, Kim HJ, Lee HJ, Kim HJ, Ko JY, et al. Comparison of carcass and sensory traits and free amino acid contents among quality grades in loin and rump of Korean cattle steer. Asian-Australas J Anim Sci. 2015;28:1629-40. https://doi.org/10.5713/ajas.15.0128
- Cho SH, Kim J, Park BY, Seong PN, Kang GH, Kim JH, et al. Assessment of meat quality properties and development of a palatability prediction model for Korean Hanwoo steer beef. Meat Sci. 2010;86:236-42. https://doi.org/10.1016/j.meatsci.2010.05.011
- Moon SS, Yang HS, Park GB, Joo ST. The relationship of physiological maturity and marbling judged according to Korean grading system to meat quality traits of Hanwoo beef females. Meat Sci. 2006;74:516-21. https://doi.org/10.1016/j.meatsci.2006.04.027
- Panjono, Kang SM, Lee IS, Kim YJ, Lee SK. Relationship of slaughter age and carcass traits of Hanwoo cattle. Korean J Food Sci Anim Resour. 2009;29:550-6. https://doi.org/10.5851/kosfa.2009.29.5.550
- Ockerman HW, Jaworek D, VanStavern B, Parrett N, Pierson CJ. Castration and sire effects on carcass traits, meat palatability and muscle fiber characteristics in Angus cattle. J Anim Sci. 1984;59:981-90. https://doi.org/10.2527/jas1984.594981x
- Park GB, Moon SS, Ko YD, Ha JK, Lee JG, Chang HH, et al. Influence of slaughter weight and sex on yield and quality grades of Hanwoo (Korean native cattle) carcasses. J Anim Sci. 2002;80:129-36. https://doi.org/10.2527/2002.801129x