• Journal of Animal Science and Technology
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• v.55 no.5
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• pp.389-398
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• 2013

This study was conducted to investigate the genetic relationships among four reproductive traits. Data for this study were 7616 records from 1910 Landrace (L) and 10,454 records from 2283 Yorkshire (Y) in a closed nucleus swine herd. Traits considered on this study were gestation length (GL), total number of piglets born (TNB), wean to first service (WFS), and number of stillborn per litter (NSB). Heritabilities and genetic correlations were estimated by using the Bayesian inferences via Gibbs sampling in a four trait linear-threshold repeatability animal mixed model by designating NSB as a categorical trait in the L and Y purebred populations. Effects on the statistical model were considered for parity, contemporary group as fixed and service sire, permanent environmental, animal additive genetic effects as random. Estimates of heritability were 0.21, 0.23, 0.16, and 0.09 for GL, WFS, TNB, and NSB in the L population and 0.35, 0.16, 0.14 and 0.10 for corresponding traits in the Y population, respectively. Genetic correlation for GL was -0.59 and -0.28 with TNB and -0.58 and -0.17 with NSB in the L and Y populations, respectively. The NSB was positively correlated with TNB in the L and Y populations in genetic and environmental aspects. Therefore, the NSB should be taken into account in selecting sows for improving prolificacy of dam line breeding swine stock.

• Korean Journal of Agricultural Science
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• v.40 no.4
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• pp.339-345
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• 2013

The objective of this study was to establish genetic evaluation systems with carcass data collected by 68 individual farms from 2007 to 2011 in Pyeongchang area of Kangwon province. All the possible of environment effects were corrected by analysis of variance (ANOVA) to estimate more accurate genetic parameters. Heritabilities and genetic correlations were estimated from carcass data collected from Hanwoo steers(n=10,441) born in Pyeongchang region from 2005 to 2008. Traits evaluated included carcass weight (CWT), eye muscle area (EMA), back fat thickness (BF) and marbling score (MS). As for the mean value and standard deviation for carcass traits, CWT, EMA, BF and MS were 424.5, 92, 13.7 and 5.7. Parameters were estimated using a multiple trait animal model and derivative-free restricted maximum likelihood procedures. Estimated heritabilities for CWT, EMA, BF and MS were 0.30, 0.21, 0.42 and 0.42, respectively. Genetic correlation of CWT with EMA, BF and MS were estimated to 0.24, 0.36 and 0.07, respectively. Genetic correlation of EMA with BF and MS was -0.27 and 0.61, respectively.

• Asian-Australasian Journal of Animal Sciences
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• v.33 no.11
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• pp.1741-1754
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• 2020

Objective: This study was conducted to estimate genetic parameters for milk yield traits using daily milk yield records from parlour data generated in an intensively managed commercial dairy farm with Jersey and Jersey-Friesian cows in Sri Lanka. Methods: Genetic parameters were estimated for first and second lactation predicted and realized 305-day milk yield using univariate animal models. Genetic parameters were also estimated for total milk yield for each 30-day intervals of the first lactation using univariate animal models and for daily milk yield using random regression models fitting second-order Legendre polynomials and assuming heterogeneous residual variances. Breeding values for predicted 305-day milk yield were estimated using an animal model. Results: For the first lactation, the heritability of predicted 305-day milk yield in Jersey cows (0.08±0.03) was higher than that of Jersey-Friesian cows (0.02±0.01). The second lactation heritability estimates were similar to that of first lactation. The repeatability of the daily milk records was 0.28±0.01 and the heritability ranged from 0.002±0.05 to 0.19±0.02 depending on day of milk. Pearson product-moment correlations between the bull estimated breeding values (EBVs) in Australia and bull EBVs in Sri Lanka for 305-day milk yield were 0.39 in Jersey cows and -0.35 in Jersey-Friesian cows. Conclusion: The heritabilities estimated for milk yield in Jersey and Jersey-Friesian cows in Sri Lanka were low, and were associated with low additive genetic variances for the traits. Sire differences in Australia were not expressed in the tropical low-country of Sri Lanka. Therefore, genetic progress achieved by importing genetic material from Australia can be expected to be slow. This emphasizes the need for a within-country evaluation of bulls to produce locally adapted dairy cows.

• Asian-Australasian Journal of Animal Sciences
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• v.31 no.1
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• pp.26-31
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• 2018

Objective: This study estimated the genetic parameters for body weight gain and growth curve parameter traits in Korean native chicken (KNC). Methods: A total of 585 $F_1$ chickens were used along with 88 of their $F_0$ birds. Body weights were measured every 2 weeks from hatching to 20 weeks of age to measure weight gain at 2-week intervals. For each individual, a logistic growth curve model was fitted to the longitudinal growth dataset to obtain three growth curve parameters (${\alpha}$, asymptotic final body weight; ${\beta}$, inflection point; and ${\gamma}$, constant scale that was proportional to the overall growth rate). Genetic parameters were estimated based on the linear-mixed model using a restricted maximum likelihood method. Results: Heritability estimates of body weight gain traits were low to high (0.057 to 0.458). Heritability estimates for ${\alpha}$, ${\beta}$, and ${\gamma}$ were $0.211{\pm}0.08$, $0.249{\pm}0.09$, and $0.095{\pm}0.06$, respectively. Both genetic and phenotypic correlations between weight gain traits ranged from -0.527 to 0.993. Genetic and phenotypic correlation between the growth curve parameters and weight gain traits ranged from -0.968 to 0.987. Conclusion: Based on the results of this study population, we suggest that the KNC could be used for selective breeding between 6 and 8 weeks of age to enhance the overall genetic improvement of growth traits. After validation of these results in independent studies, these findings will be useful for further optimization of breeding programs for KNC.

• Journal of Animal Science and Technology
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• v.48 no.3
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• pp.337-344
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• 2006

The objective of this study was to compare of genetic parameter estimates on carcass traits of Hanwoo(Korean Cattle) according to modeling with Gibbs sampler and MTDFREML. The data set consisted of 1,941 cattle records with 23,058 animals in pedigree files at Hanwoo Improvement Center. The variance and covariance among carcass traits were estimated via Gibbs sampler and MTDFREML algorithms. The carcass traits considered in this study were longissimus dorsi area, backfat thickness, and marbling score. Genetic parameter estimates using Gibbs sampler and MTDFREML from single-trait analysis were similar with those from multiple-trait analysis. The estimated heritabilities using Gibbs sampler were .52～.54, .54 ～.59, and .42～.44 for carcass traits. The estimated heritabilities using MTDFREML were .41, .52～.53, and .31～.32 for carcass traits. The estimated genetic correlation using Gibbs sampler and MTDFREML of LDA between BF and MS were negatively correlated as .34～.36, .23～.37. Otherwise, genetic correlation between BF and MS was positive genetic correlation as .36～.44. The correlations of breeding value for marbling score between via MTDFREML and via Gibbs sampler were 0.989, 0.996 and 0.985 for LDA, BF and MS respectively.

• Journal of Animal Science and Technology
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• v.52 no.2
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• pp.97-102
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• 2010

The objective of this study was to examine the suitability of genetic evaluation models using the integrated racing records collected from Gwacheon and Busan Gyeongnam racetracks. Results obtained are summarized as follows: In the short-distance races of 1,400 meters and less the records of finishing time at Gwacheon racetrack was superior, whereas, in the races of 1,800 meters and more it was superior in the records from Busan Gyeongnam racetrack. The effects of contemporary groups accounted for 42.7~70.2% of the total variation, and the effects of the individual race considering racing classes was the biggest in all racing distances. Heritabilities and repeatabilities for the finishing time were estimated in the range of 0.153-0.238 and 0.401-0.498, respectively. Correlation coefficients between the breeding values estimated from the integrated records and the breeding values estimated from records of Gwacheon and Busan-Gyeongnam were 0.907 and 0.803, and coefficients of rank correlations were 0.891 and 0.846, respectively. The correlation coefficients between sire's annual earning of the integrated records and Gwacheon and Busan Gyeongnam racetracks records were 0.943 and 0.886, and coefficients of rank correlations were 0.938 and 0.853, respectively. Also, the correlation coefficient of sire's annual earning between Gwacheon and Busan Gyeongnam racetracks was 0.742. The results of this analysis indicate that the genetic evaluation using the integrated racing records are reliable when the racing records from Busan Gyeongnam racetracks are stabilized and more data are accumulated.

• Korean Journal of Poultry Science
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• v.37 no.2
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• pp.125-130
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• 2010

This study was conducted to estimate heritabilities, genectic and phenotypic correlations on economic traits in three strains of Korean Native chickens (KNC) : Black (B), Red Brown (RB) and Yellow Brown (YB). The data used in this study were collected from 2000 to 2007 in the National Institute of Animal Science and a total number was 14,421 birds. The effect of the strains analysis showed that the strain B were greater than the other strains for body weight at 150 days and 270 days. The number of egg production at 270 days of the strain YB was higher than the other strains. The estimated heritabilities age at $1^{st}$ egg, body weight at 150 days, egg weight at $1^{st}$ egg, body weight at 270 days, egg weight at 270 days and number of egg production at 270 days were 0.32, 0.50, 0.31, 0.43, 0.48 and 0.69 for strain B; were 0.42, 0.41, 0.19, 0.48, 0.44 and 0.76 for strain RB; were 0.44, 0.52, 0.24, 0.54, 0.51 and 0.66 for strain YB respectively, The genetic and phenotypic correlations were also estimated.

• Genomics & Informatics
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• v.11 no.3
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• pp.135-141
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• 2013

Gene set analysis is a powerful tool for interpreting a genome-wide association study result and is gaining popularity these days. Comparison of the gene sets obtained for a variety of traits measured from a single genetic epidemiology dataset may give insights into the biological mechanisms underlying these traits. Based on the previously published single nucleotide polymorphism (SNP) genotype data on 8,842 individuals enrolled in the Korea Association Resource project, we performed a series of systematic genome-wide association analyses for 49 quantitative traits of basic epidemiological, anthropometric, or blood chemistry parameters. Each analysis result was subjected to subsequent gene set analyses based on Gene Ontology (GO) terms using gene set analysis software, GSA-SNP, identifying a set of GO terms significantly associated to each trait ($p_{corr}$ < 0.05). Pairwise comparison of the traits in terms of the semantic similarity in their GO sets revealed surprising cases where phenotypically uncorrelated traits showed high similarity in terms of biological pathways. For example, the pH level was related to 7 other traits that showed low phenotypic correlations with it. A literature survey implies that these traits may be regulated partly by common pathways that involve neuronal or nerve systems.

• 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.

• Biomedical Science Letters
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• v.27 no.1
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• pp.12-18
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• 2021

Hypertension (HTN) is one of the cardiovascular disease risk factors. Peroxisome proliferator-activated receptor γ coactivator 1 alpha (PPARGC1A) is involved in a master modulator of mitochondrial biogenesis, and pulmonary arterial hypertension. In this study, we report results of PPARGC1A were associated with hypertension and its intermediate phenotype of systolic (SBP) and diastolic blood pressure (DBP) in the Korean population. In detail, identifying a susceptibility locus, 3 SNPs for HTN, 2 SNPs for SBP, 3 SNPs for DBP at P<0.05. Among them, rs1472095 in PPARGC1A gene statistically demonstrated one of the significant correlations with Hypertension (P-value=0.00359, OR=0.8, 95% CI=0.68~0.93). The minor allele (T) of PPARGC1A was statistically associated with the increased value of DBP, SBP, and the increase risk of hypertension. We aim to manifest a significant association between genetic variant in PPARGC1A and hypertension. This finding suggested that association of PPARGC1A genetic polymorphism and HTN accelerates our understanding of blood pressure control and underlines potential drug targets for treatment of hypertension.