• Asian-Australasian Journal of Animal Sciences
• /
• v.31 no.10
• /
• pp.1670-1676
• /
• 2018

Objective: This study was conducted to enable on-line prediction of primal and commercial cut weights in Korean slaughter pigs by AutoFom III, which non-invasively scans pig carcasses early after slaughter using ultrasonic sensors. Methods: A total of 162 Landrace, Yorkshire, and Duroc (LYD) pigs and 154 LYD pigs representing the yearly Korean slaughter distribution were included in the calibration and validation dataset, respectively. Partial least squares (PLS) models were developed for prediction of the weight of deboned shoulder blade, shoulder picnic, belly, loin, and ham. In addition, AutoFom III's ability to predict the weight of the commercial cuts of spare rib, jowl, false lean, back rib, diaphragm, and tenderloin was investigated. Each cut was manually prepared by local butchers and then recorded. Results: The cross-validated prediction accuracy ($R^2cv$) of the calibration models for deboned shoulder blade, shoulder picnic, loin, belly, and ham ranged from 0.77 to 0.86. The $R^2cv$ for tenderloin, spare rib, diaphragm, false lean, jowl, and back rib ranged from 0.34 to 0.62. Because the $R^2cv$ of the latter commercial cuts were less than 0.65, AutoFom III was less accurate for the prediction of those cuts. The root mean squares error of cross validation calibration (RMSECV) model was comparable to the root mean squares error of prediction (RMSEP), although the RMSECV was numerically higher than RMSEP for the deboned shoulder blade and belly. Conclusion: AutoFom III predicts the weight of deboned shoulder blade, shoulder picnic, loin, belly, and ham with high accuracy, and is a suitable process analytical tool for sorting pork primals in Korea. However, AutoFom III's prediction of smaller commercial Korean cuts is less accurate, which may be attributed to the lack of anatomical reference points and the lack of a good correlation between the scanned area of the carcass and those traits.

• Journal of Animal Science and Technology
• /
• v.45 no.3
• /
• pp.463-472
• /
• 2003

This experiment was carried out to investigate the effect of fermented chitosan additive(FCA) as a probiotics in finishing pig. The levels of 0.2% and 0.5% of FCA powder was added to the regular feed. A total of 30 pigs were used to evaluate the growing performance. Those FCA supplemented feeds were supplied to the pigs at 17 weeks of age for 6 weeks. After slaughtering, 4 pigs of each treatment were used to compare the physico-chemical characteristics and sensory evaluation. Addition of 0.2% of FCA improved the average daily weight gain and feed efficiency. The pH of the FCA treated loin was slightly higher than control. The L*, a*, b* values of the treatment groups were generally low compared to control group. So the effect of FCA to meat color was expression of purplish red color. Juiciness of the pork shoulder treated with 0.5% FCA was significantly(p<0.05) higher than the other groups. Flavor and overall preference scores for bacon treated with 0.5% of FCA were significantly(p<0.05) higher than the other groups.

• Journal of Animal Science and Technology
• /
• v.53 no.4
• /
• pp.297-302
• /
• 2011

This study was carried out to estimate average inbreeding coefficients, relatedness and effective population size of breeding bulls and to suggest optimal alternatives on problems of current Hanwoo improvement system. Data on proven and young bulls were obtained from 1,128 heads of Livestock Improvement Main Center from 1983 to 2008. Pedigree information on proven and young bulls was obtained from 3,760 heads of Korea Animal Improvement Association. Average inbreeding coefficients and average relatedness of proven and young bulls were estimated at the range of 0.04-0.07%, 0.10-6.82%, respectively. Effective population size was estimated for 220 heads from the average rate of inbreeding of last 26 years. Average inbreeding coefficient is rising rapidly for the last two years as well as average relatedness. Effective population size was estimated for 47 heads for the last five years. These results suggest that selection criteria of proven bulls should include not only genetic evaluation of carcass performance from progeny-test, but also inbreeding and relationship coefficients, in order to maintain genetic variability of Hanwoo. In addition, effective population size should be increased by increasing the number of proven bulls.

• Journal of Animal Science and Technology
• /
• v.62 no.6
• /
• pp.777-789
• /
• 2020

Intense artificial selection has been imposed to Luzhong mutton sheep population in the past years. Improvements on growth and reproductive performance are two breeding goals in the present herd. Although some progresses were phenotypically observed possibly due to inbreeding induced by strong selection in terms of these traits, the genomic evaluation was poorly understood. Therefore, a high-density SNP array was used to characterize the pattern of runs of homozygosity (ROH), estimate inbreeding and inbreeding depressions on early growth performance and litter size based upon ROH, and scan positive selection signatures of recent population. Consequently, a low inbreeding level was observed which had negative effects on litter size, but not on early growth performance. And 160 genes were under selection, of which some were reported to be linked to several traits of sheep including body weight, litter size, carcass and meat quality, milk yield and composition, fiber quality and health, and the top genes were associated with growth (growth hormone [GH]- growth hormone receptor [GHR]- Insulin-like growth factor 1 [IGF1] axis) and litter size (bone morphogenic proteins [BMPs]-associated). The effectiveness of previous breeding measures was highlighted, but purging selection was proposed to alleviate the inbreeding depression on litter size, providing some genomic insights to breeding management of Luzhong mutton sheep.

• ANNALS OF ANIMAL RESOURCE SCIENCES
• /
• v.30 no.4
• /
• pp.165-171
• /
• 2019

The objective of this study was to investigate the effects of gender on meat quality traits and sensory characteristics of pork loin. A total of 90 pork carcasses (180 days old, 45 barrows and 45 gilts, each gender group was consisted of fifteen 1+, 1 and 2 carcass grades) were selected and loin cuts were excised to investigate meat quality, electronic tongue measures and sensory panel test. There were significant differences in drip loss (1.66% vs 1.21%), released water (12.19% vs 10.68%) and cooking loss (23.67% vs 21.04%) between loins from barrow and gilt (p<0.05). However, no significant differences in meat color (CIE L^* a^* b^*) and shear force were observed between gender groups (p>0.05). Umami and richness values of barrow were significantly higher than those of gilt, while barrow had significantly lower sourness value compared to gilt(p<0.05). On the sensory evaluation, barrow scored higher in flavor, juiciness and tenderness both, and as a result, barrow (5.51 points) also scored significantly higher than gilt (4.86 points). These results suggest that the umami intensity and sensory taste of barrow loin are superior to gilt loin due to its high water-holding capacity.

• Korean Journal of Agricultural Science
• /
• v.50 no.4
• /
• pp.809-815
• /
• 2023

This study was conducted to find out the correlation between meat quality and muscle fat ratio in pork part meat (pork belly and shoulder butt) using CT (computed tomography) imaging technique. After 24 hours from slaughter, pork loin and belly were individually prepared from the left semiconductors of 26 pigs for CT measurement. The image obtained from CT scans was checked through the picture archiving and communications system (PACS). The volume of muscle and fat in the pork belly and shoulder butt of cross-sectional images taken by CT was estimated using Vitrea workstation version 7. This assemblage was further processed through Vitrea post-processing software to automatically calculate the volumes (Fig. 1). The volumes were measured in milliliters (mL). In addition to volume calculation, a three-dimensional reconstruction of the organ under consideration was generated. Pearson's correlation coefficient was analyzed to evaluate the relationship by region (pork belly, pork shoulder butt), and statistical processing was performed using GraphPad Prism 8. The muscle-fat ratios of pork belly taken by CT was 1 : 0.86, while that of pork shoulder butt was 1 : 0.37. As a result of CT analysis of the correlation coefficient between pork belly and shoulder butt compared to the muscle-fat ratio, the correlation coefficient was 0.5679 (R² = 0.3295, p < 0.01). CT imaging provided very good estimates of muscle contents in cuts and in the whole carcass.

• Food Science of Animal Resources
• /
• v.30 no.5
• /
• pp.811-818
• /
• 2010

This study was carried out to investigate the effect of different herb resource powders on meat quality and sensory properties in Korean native black goat for 500 d. The experimental treatment was arranged with 24 heads (3 treatment/8 heads) by control group, T1 and T2 group respectively (Control, not added herb powders; T1, 1% added herb powders; T2, 2% added herb powders). Total weight gain for the Korean native black goat was the highest in T2 group feeding for 500 days, and daily gain tended to be similar to the total weight gain. The total feed intake were the highest as 519.20 kg in T2 group, although feed conversion showed 18.35 in the T2 group, which means it had the best feed efficiency compared to the other treatment groups. The carcass rate was higher in the T1 group (51.10%) than in the other groups (p<0.05). The cooking loss and drip loss of Korean native black goat was the highest as 34.72% and 3.83% in the control group (p<0.05). However, total cholesterol amounts in the treatment group were not significantly different from, although tended to be higher than, the control group (p>0.05). Also, the overall sensory evaluation of the treatment group revealed low scores, meaning more meat flavor than those of the control in tenderness, flavor, texture, and black goat off-flavor and overall evaluation (p<0.05). Total synthesis evaluation was higher for the treatment group (3.71, 3.90 point) than that of the control group (4.82 point) (p<0.05). The MUFA/SFA ratio of the treatment group was not significantly different from, although tended to be higher than, the control group

• Asian-Australasian Journal of Animal Sciences
• /
• v.33 no.10
• /
• pp.1544-1557
• /
• 2020

Objective: Genomic selection (GS) is becoming popular in animals' genetic development. We, therefore, investigated the single-step genomic best linear unbiased prediction (ssGBLUP) as tool for GS, and compared its efficacy with the traditional pedigree BLUP (pedBLUP) method. Methods: A total of 9,952 males born between 1997 and 2018 under Hanwoo proven-bull selection program was studied. We analyzed body weight at 12 months and carcass weight (kg), backfat thickness, eye muscle area, and marbling score traits. About 7,387 bulls were genotyped using Illumina 50K BeadChip Arrays. Multiple-trait animal model analyses were performed using BLUPF90 software programs. Breeding value accuracy was calculated using two methods: i) Pearson's correlation of genomic estimated breeding value (GEBV) with EBV of all animals (r_M1) and ii) correlation using inverse of coefficient matrix from the mixed-model equations (r_M2). Then, we compared these accuracies by overall population, info-type (PHEN, phenotyped-only; GEN, genotyped-only; and PH+GEN, phenotyped and genotyped), and bull-types (YBULL, young male calves; CBULL, young candidate bulls; and PBULL, proven bulls). Results: The r_M1 estimates in the study were between 0.90 and 0.96 among five traits. The r_M1 estimates varied slightly by population and info-type, but noticeably by bull-type for traits. Generally average r_M2 estimates were much smaller than r_M1 (pedBLUP, 0.40 to0.44; ssGBLUP, 0.41 to 0.45) at population level. However, r_M2 from both BLUP models varied noticeably across info-types and bull-types. The ssGBLUP estimates of r_M2 in PHEN, GEN, and PH+ GEN ranged between 0.51 and 0.63, 0.66 and 0.70, and 0.68 and 0.73, respectively. In YBULL, CBULL, and PBULL, the r_M2 estimates ranged between 0.54 and 0.57, 0.55 and 0.62, and 0.70 and 0.74, respectively. The pedBLUP based r_M2 estimates were also relatively lower than ssGBLUP estimates. At the population level, we found an increase in accuracy by 2.0% to 4.5% among traits. Traits in PHEN were least influenced by ssGBLUP (0% to 2.0%), whereas the highest positive changes were in GEN (8.1% to 10.7%). PH+GEN also showed 6.5% to 8.5% increase in accuracy by ssGBLUP. However, the highest improvements were found in bull-types (YBULL, 21% to 35.7%; CBULL, 3.3% to 9.3%; PBULL, 2.8% to 6.1%). Conclusion: A noticeable improvement by ssGBLUP was observed in this study. Findings of differential responses to ssGBLUP by various bulls could assist in better selection decision making as well. We, therefore, suggest that ssGBLUP could be used for GS in Hanwoo proven-bull evaluation program.

• Journal of Animal Science and Technology
• /
• v.45 no.1
• /
• pp.57-68
• /
• 2003

Effects of supplemental levels of Bomboo vinegar(BV) on growth performance, serum profile and meat quality in 15 Korean native Hanwoo cows was investigated. Concentrate diet was supplemented with Bamboo vinegar with 3% and 6% of the diet. Daily weight gain was increased slightly at 3% BV, but it was decreased in 6% BV. Feed intake was decreased(P<0.05) at 6% BV. Glucose concentration of serum profile was decreased(P<0.05) at 3% and 6% BV. Total protein and cholesterol concentrations were increased(P<0.05) at 3% and 6% BV. BUN concentration was increased(P<0.05) at 3% BV. In carcass characteristics the longissimus muscles of all BV treatments showed no significant(P<0.05) effects, but back fat thickness was decreased significantly(P<0.05) in 6% BV. Marbling score was increased significantly(P<0.05) at 3% BV, thus improving the meat quality. Cut meat production was not difference by treatment. Crude fat content of proximate chemical composition in longissimus muscle was increased(P<0.05) in 3% BV. Shear force and cholesterol contents were decreased(P<0.05) in 3% and 6% BV. The 16:0 of fatty acid composition in longissimus was decreased(P<0.05) whereas 18:1 was increased(P<0.05) at 3% and 6% BV. The composition of saturated fatty acids(SFA) was decreased(P< 0.05), whereas unsaturated fatty acids(USFA) was increased(P<0.05) in 3% BV. Odor and appearance of sensory evaluation were not difference by treatment. Taste was improved significantly (P<0.05) in 3% and 6% BV with the peculiar and savory taste of Hanwoo being more emphasized. The results of this experiment indicated that 3% BV improved the marbling score and crude fat content, decreased the shear force and cholesterol contents, increased the USFA composition, and improved the taste of sensory evaluation in Korean native Hanwoo cows.

• Journal of Animal Science and Technology
• /
• v.55 no.1
• /
• pp.13-18
• /
• 2013

This study was conducted to estimate the Genomic Estimated Breeding Value (GEBV) using Genomic Best Linear Unbiased Prediction (GBLUP) method in Hanwoo (Korean native cattle) population. The result is expected to adapt genomic selection onto the national Hanwoo evaluation system. Carcass weight (CW), eye muscle area (EMA), backfat thickness (BT), and marbling score (MS) were investigated in 552 Hanwoo progeny-tested steers at Livestock Improvement Main Center. Animals were genotyped with Illumina BovineHD BeadChip (777K SNPs). For statistical analysis, Genetic Relationship Matrix (GRM) was formulated on the basis of genotypes and the accuracy of GEBV was estimated with 10-fold Cross-validation method. The accuracies estimated with cross-validation method were between 0.915~0.957. In 534 progeny-tested steers, the maximum difference of GEBV accuracy compared to conventional EBV for CW, EMA, BT, and MS traits were 9.56%, 5.78%, 5.78%, and 4.18% respectively. In 3,674 pedigree traced bulls, maximum increased difference of GEBV for CW, EMA, BT, and MS traits were increased as 13.54%, 6.50%, 6.50%, and 4.31% respectively. This showed that the implementation of genomic pre-selection for candidate calves to test on meat production traits could improve the genetic gain by increasing accuracy and reducing generation interval in Hanwoo genetic evaluation system to select proven bulls.