• Asian-Australasian Journal of Animal Sciences
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• v.14 no.11
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• pp.1621-1627
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• 2001

Steers and heifers (N=490) were produced between 1991 and 1996 by reciprocal fiillsib backcross and $F_1$ crosses from Angus and Brahman to compare characteristics of carcass and palatability traits between Bos indicus and Bos taurus inheritance. Carcasses of 3/4Angus were heavier, fatter (p<0.05), more tender and higher in other palatability attributes (p<0.01) than those of 3/4Brahman. Reciprocal effects of parental cross breeds were found on some traits. Within 3/4Brahman inheritance group, Brahman sired progeny produced heavier and fatter carcasses with better palatability (p<0.05) than progeny with Brahman as a dam breed. Estimates of heritability were intermediate to high in most carcass and palatability traits. Genetic correlations of tenderness with marbling score (MARB), sarcomere length (SARC), fragmentation index (FRAG) and calpastatin activity (CALP) were moderate to high, suggesting potential use of the tenderness-influencing factors as indirect selection criteria to improve palatability attributes. MARB and SARC that were best predictors of tenderness explained 3.07 to 5.85% and 4.32 to 8.24% of variation in tenderness, respectively. However, there was no tenderness-influencing factor to dominantly explain large portion of variation in tenderness.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 2000.11c
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• pp.521-524
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• 2000

Nearinfra-red(NIR) reflectance NIR a spectra (400 to 2,100 nm) were collected on 32 beef samples to find feasibility of predicting beef tenderness. The study to predict beef tenderness was accomplished with the stepwise second differential data of the collected NIR spectra. Beef tenderness was measured by Warner-Bratzler(WB) shear force using a Universal Testing Machine(UTM). After modeling the relation between Warner-Bratzler shear force and NIR spectrum of 19 samples among the 32 beef samples, the verification was carried out through predicting the other 13 samples. The SEC and R$^2$ values in the prediction equation were 9.07(N) and 0.6463, respectively. The SEP and R$^2$ were 14.8(N) and 0.7082 (wave length 552 nm, 1988 nm) respectively. The result implied that it was possible to predict the beef tenderness using NIR spectrum and that the tenderness could be predicted non-destructively in real time.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 2001.02a
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• pp.345-351
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• 2001

• Journal of Animal Science and Technology
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• v.65 no.2
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• pp.311-323
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• 2023

Beef consumers valued meat quality traits such as texture, tenderness, juiciness, flavor, and meat color that determining consumers' purchasing decision. Most research on meat quality has focused on marbling, a key characteristic related to meat eating quality. However, other important traits such as meat texture, tenderness, and color have not much studied in cattle. Among these traits, meat tenderness and texture of cattle are among the most important factors affecting quality evaluation of consumers. Collagen is the main component of connective tissues.It greatly affects meat tenderness. The objective of this study was to determine significant variants and candidate genes associated with collagen contents trait (total collagen) through genome-wide association studies (GWAS). Phenotypic and genomic data from 135 Hanwoo were used. The BLUPF90 family program and GRAMMAR method for GWAS were applied in this study. A total of 73 potential single nucleotide polymorphisms (SNPs) showed significant associations with collagen content. They were located in or near 108 candidate genes. TMEM135 and ME3 genes were identified to have the most significant SNPs associated with collagen contents trait. Data indicated that these genes were related to collagen. Biological processes and pathways for the prediction of biological functions of candidate genes were confirmed. We found that candidate genes were involved in positive regulation of CREB transcription factor activity and actin cytoskeleton related to tenderness and texture of beef. Three genes (CRTC3, MYO1C and MYLK4) belonging to these biological functions were related to tenderness. These results provide a basis for improving genomic characteristics of Hanwoo for the production of tender beef. Furthermore, they could be used they could be used as an index to select desired traits for consumers.

• Animal Bioscience
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• v.36 no.9
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• pp.1435-1444
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• 2023

Objective: This study was conducted to evaluate Raman spectroscopy technique as a noninvasive tool to predict meat quality traits on Braford longissimus thoracis et lumborum muscle. Methods: Thirty samples of muscle from Braford steers were analyzed by classical meat quality techniques and by Raman spectroscopy with 785 nm laser excitation. Water holding capacity (WHC), intramuscular fat content (IMF), cooking loss (CL), and texture profile analysis recording hardness, cohesiveness, and chewiness were determined, along with fiber diameter and sarcomere length by scanning electron microscopy. Warner-Bratzler shear force (WBSF) analysis was used to differentiate tender and tough meat groups. Results: Higher values of cohesiveness and CL, together with lower values of WHC, IMF, and shorter sarcomere were obtained for tender meat samples than for the tougher ones. Raman spectra analysis allows tender and tough sample differentiation. The correlation between the quality attributes predicted by Raman and the physical measurements resulted in values of R² = 0.69 for hardness and 0,58 for WBSF. Pearson's correlation coefficient of hardness (r = 0.84) and WBSF (r = 0.79) parameters with the phenylalanine Raman signal at 1,003 cm^-1, suggests that the content of this amino acid could explain the differences between samples. Conclusion: Raman spectroscopy with 785 nm laser excitation is a suitable and accurate technique to identify beef with different quality attributes.

• Food Science of Animal Resources
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• v.29 no.1
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• pp.40-46
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• 2009

The aim of this study was to determine the relationship between sensory properties and Warner-Bratzler shear (WBS) for branded Hanwoo beef. Eight subprimal cuts purchased from the branded Hanwoo beef of 3 quality grades ($1^{++}$, $1^+$, 1) at 13 stores were determined the tenderness using WBS and evaluated the sensory properties (tenderness, flavor, juiciness, overall acceptance) by trained sensory panels. The results of sensory evaluation were analyzed by four WBS value classes (<3.46 kg, 3.46-4.09 kg, 4.09-4.72 kg, >4.72 kg). The results from the sensory evaluation (tenderness, flavor, juiciness, overall acceptance) for subprimal cuts of WBS force value less than 3.46 kg had high scores, whereas WBS force value more than 4.72 kg had low scores (p<0.05). Correlation coefficient of WBS measurements with sensory ratings was -0.67 (tenderness), -0.53 (flavor), -0.49 (juiciness), and -0.57 (overall acceptance). From these results, consumers can distinguish sensory taste of branded Hanwoo beef using WBS categories and beef industry can apply index of taste for brand Hanwoo beef by WBS categories.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.450-452
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• 2022

Recently, various machine learning algorithms have been actively applied to the field of livestock research, including genetic analysis, and have drawn noteworthy results. In this study, the statistical characteristics of meat color, hydrogen ion concentration, water holding capacity (WHC), shear force, and grilling loss that affect the quality of Hanwoo beef are examined using the Hanwoo beef data collected in various environments. Moreover, the prediction of meat quality is also investigated using the two machine learning algorithms, which are linear regression and regression tree. Analysis results show that meat color has the most significant effect on WHC, which determines the tenderness of beef, and hydrogen ion concentration significantly influences shear force and grilling loss. Through this study, we can confirm the applicability of machine learning algorithms in the research on the quality of Hanwoo beef. In addition, this study can also be applied to the prediction and improvement of the quality of Hanwoo beef.

• Food Science of Animal Resources
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• v.28 no.3
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• pp.363-372
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• 2008

This study was conducted to investigate the relationship between the socio-demographic factors and the Korean consumers' palatability evaluation and to collect the sensory information for development of prediction palatability model of Hanwoo beef. Ten cuts [Abjin (short plate), Bosup (top sirloin), Cheggt (striploin), Dngsim (loin), Guri (chuck tender), Hongduke (eye of round), Moksim (chuck roll), Sulgit (bottom round), Udoon (top round), Yangji (brisket)] were separated from 5 Hanwoo steer beef (28-30 months old) and prepared with the same manner for 3 different cooking methods such as boiling, grilling, and roasting. The cooked beef samples were served to 650 consumers recruited from Seoul, Joongbu, Honam and Youngnam locations and evaluated as tenderness, juiciness, flavor, and overall acceptability. The consumer living location, age, gender, occupation, monthly income, and cut were significantly related with the scores of sensory properties when steer beef were cooked as boiling cooking (p<0.05). The eating habit and aging of beef were also significantly related with the tenderness and overall acceptability scores (p<0.01) when beef were cooked as boiled. In grill cooking, living location, aging, and cut had the significant effect on the sensory properties of Hanwoo steer beef (p<0.01). When steer beef were prepared by Korean traditional roast cooking, consumer's sensory scores were significantly different by the living location, age, occupation, monthly income, eating habit of consumers, aging and beef cut (p<0.001). Also, results from the principal component analysis showed that palatability scores of Korean consumers were decided with different contribution rate of tenderness, juiciness, flavor and overall acceptability for beef cut depending on cooking methods. In conclusion, Korean consumers' palatability for Hanwoo steer beef were related to the socio-demographic factors and the sensory scores were different by cut and cooking methods.

• Journal of Animal Science and Technology
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• v.49 no.6
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• pp.857-870
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• 2007

This study was conducted to investigate the relationship between the socio-demographic factors and the Korean consumers’ palatability evaluation and to collect the sensory information for development of prediction palatability model of Hanwoo beef. Ten cuts〔Abjin (short plate), Bosup (top sirloin), Cheggt (striploin), Dngsim (loin), Guri (chuck tender), Hongduke (eye of round), Moksim (chuck roll), Sulgit (bottom round), Udoon (top round), Yangi (brisket)〕 were separated from 10 Hanwoo bulls beef(～24 months old) and prepared with the same manner for 3 different cooking methods such as boiling, grilling and roasting. The cooked beef samples were served to 650 consumers recruited from Seoul, Joongbu, Honam and Youngnam locations and evaluated tenderness, juiciness, flavor and overall acceptability. The living location, age, gender, occupation, eating habit and cut were significantly related with the sensory properties when bull beef were cooked as boiled cooking(p<0.05). In grill cooking, only occupation, income and cut had the significant effect on the overall acceptability of Hanwoo bull beef(p<0.01). When bull beef were cooked as Korean traditional roast cooking, consumer’s sensory properties were significantly different by the living location, age, occupation, income, eating habit of consumers and cut(p<0.05). Also, results from the principal component analysis showed that palatability scores of Korean consumers were decided with different contribution scores of tenderness, juiciness, flavor and overall acceptability of cut depending on cooking methods. In conclusion, Korean consumers’ palatability for Hanwoo bull beef were related with the socio-demographic factors and the sensory results were different by cut and cooking methods.

• Journal of Animal Science and Technology
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• v.49 no.6
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• pp.871-880
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• 2007

This study was conducted to investigate the relationship between the socio-demographic factors and the Korean consumers’ palatability evaluation and to collect the sensory information for development of prediction palatability model of Hanwoo beef. Ten cuts〔Abjin (short plate), Bosup (top sirloin), Cheggt (striploin), Dngsim (loin), Guri (chuck tender), Hongduke (eye of round), Moksim (chuck roll), Sulgit (bottom round), Udoon (top round), Yangi (brisket)〕 were separated from 10 Hanwoo bulls beef(～24 months old) and prepared with the same manner for 3 different cooking methods such as boiling, grilling and roasting. The cooked beef samples were served to 650 consumers recruited from Seoul, Joongbu, Honam and Youngnam locations and evaluated tenderness, juiciness, flavor and overall acceptability. The living location, age, gender, occupation, eating habit and cut were significantly related with the sensory properties when bull beef were cooked as boiled cooking(p<0.05). In grill cooking, only occupation, income and cut had the significant effect on the overall acceptability of Hanwoo bull beef(p<0.01). When bull beef were cooked as Korean traditional roast cooking, consumer’s sensory properties were significantly different by the living location, age, occupation, income, eating habit of consumers and cut(p<0.05). Also, results from the principal component analysis showed that palatability scores of Korean consumers were decided with different contribution scores of tenderness, juiciness, flavor and overall acceptability of cut depending on cooking methods. In conclusion, Korean consumers’ palatability for Hanwoo bull beef were related with the socio-demographic factors and the sensory results were different by cut and cooking methods.