• 한국데이터정보과학회:학술대회논문집
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• 2003.05a
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• pp.41-47
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• 2003

한우 6번 염색체 유전자 지도에서 한우의 질을 높이기 위한 QTL(quantitative trait loci)분석을 실시하여 선별된 Loci 값을 Permutation Test를 이용하여 계산하였다. 한편, 경제적으로 주요한 한우의 특성부위(질적부위와 육량등)에 따른, 우수 경제형질 DNA marker를 K-평균 군집법을 실시 파악하였다. 이들 QTL과 K-평균법에 의해 한우의 염색체 6번, ILST035의 주요 경제 형질별 DNA marker들을 선별하여, Bootstrap BCa방법을 이용하여 각 DNA marker들의 신뢰구간을 구했다.

• KOREAN POULTRY JOURNAL
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• v.11 no.8 s.118
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• pp.131-136
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• 1979

• Proceedings of the Korea Society of Poultry Science Conference
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• 2003.11a
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• pp.95-96
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• 2003

본 연구에서는 VSV-G(vesicular stomatitis virus G glycoprotein)로 포장된 MoMLV(Moloney murine leukemia virus) retrovirus vector system을 이용하여 GFP가 발현되는 형질전환 닭을 생산하고자 하였다. GFP 유전자를 retroviral vector 내의 RSV(Rous sarcoma virus) promoter의 조절 하에 도입한 후, Gp293 세포주에서 virus 형태로 생산하였으며, 이 virus를 초원심분리로 고농축하여 stage X 계란의 배 반엽 층에 주입하여 GFP가 발현되는 형질전환 닭을 생산하였다. 생산된 닭에서의 GFP의 발현은 epifluorescence stereomicroscope를 이용하여 확인하였다. 이 방법은 기존의 여러 형질전환 가금 방법에 비하여 기술적인 용이성과 경제성을 가지므로(Muramatsu, Park and Okumura 1998), 매우 효율적이고 주목할 만한 형질전환 가금 생산 방법으로 사료된다. 형질전환 가금의 생산에서 retrovirus vector를 이용하는 방법은 다양한 종류의 표적세포에 대하여 retrovirus 고유의 감염성에 의한 외래 유전자의 전이가 용이하고, 전이된 유전자가 진정염색질 영역 내로 선택적으로 도입될 수 있으며 유전적으로 안정성을 나타내므로 매우 효과적인 방법이다. 그러나 가금에서는 초기 배 발달에 의한 급격한 세포의 수적 증가로 인해 고감염성 virus의 획득이 요구되므로, 본 연구에서는 virus의 농축에 있어 보다 안정적이고 숙주 범위에 있어서 pantropic한 VSV-G에 기반을 둔 retrovirus vector system을 확립하였다. 이 system은 기존의 형질전환 닭의 생산방법에 비해 외래 유전자의 전이에 있어서 매우 효과적인 것으로 확인되었으며, 또한 여러 유용한 생리활성물질을 분비하는 형질전환 동물의 생산에 있어서 상당한 기여를 할 것으로 사료된다.

• Korean Journal of Agricultural Science
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• v.27 no.2
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• pp.101-106
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• 2000

A total of 181 Holstein and 73 Korean cattle were used to investigate the association of bovine leukemia virus (BLV) resistance stains with major economic traits. The frequencies of BLV resistance strain with 91bp PCR products were 60.0% and 40.0% in Holsten and Korean cattle, respectively. The association of BLV resistance and susceptibility strains with 305-d milk and 305-d milk fat yields were not significant(P>0.05) in Holstein cattle. Body weights at birth, 6-mon, and 120-mon of age were not significantly associated with the BLV resistance and susceptibility strains of Holstein and Korean cattle. It could be concluded that the alleletypers of BLV resistance were not associated with major economic traits in Holstein and Korean cattle.

• Journal of Life Science
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• v.18 no.9
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• pp.1225-1229
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• 2008

A total of 10 polymorphic microsatellite markers on bovine chromosome 5 were used for allelic association tests with phenotypic characteristics in Hanwoo. The data analyzed in this study were collected from 326 steers. Chi-square tests were performed to compare the frequencies of individual alleles between the high and the low breeding value groups. The following breeding values were analyzed for QTL effects. The frequency of allele 239 of DIK2828 showed a significant difference between the high and the low breeding value groups in the breeding value of marbling score (MSBV). The allele 279 of BMC1009 was found to show significant differences in allelic distribution for the breeding value of cold carcass weight (CWBV) and the breeding value of backfat thickness (BFBV) and allele 285 showed significant differences in allelic distribution for CWBV, BFBV, and MSBV. The allele 200 of DIK4329 showed significant differences in allelic distributions for the breeding values of longissimus muscle area (LMABV) and BFBV. In this study, we identified the QTL for carcass traits at around 20 (DIK2828), 41 (BMC1009) and 95 (DIK4329) cM in chromosome 5. The results provided a useful reference for further positional candidate gene research and marker-assisted selection for fat metabolism and carcass traits.

• Journal of Animal Science and Technology
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• v.53 no.1
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• pp.7-13
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• 2011

The aim of this study was to identify the polymorphism on exostosin-1 (EXT1) gene and to associate with economic traits in Hanwoo (Korean cattle). We sequenced for detection of single nucleotide polymorphism (SNP) with 24 unrelated individuals and identified four SNPs (T272196A, C272359T, G290964A and A302092G). Relationship between the genotypes of 583 Hanwoo individuals by PCR-RFLP and economic traits were analyzed by general linear model. In EXT1 gene, there were four SNPs associated with economic traits such as eye muscle area breeding value, marbling score breeding value, backfat and thickness breeding value (p<0.05 to p<0.01). In conclusion, this study indicates an important role of EXT1 gene in determining the meat quality or economic characteristics in Hanwoo.

• Journal of agriculture & life science
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• v.44 no.2
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• pp.29-38
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• 2010

This study looked into estimation of variance component over swine's economic traits by multiple animal model and maternal effect model using on-farm test data of total 31,455 swine of Duroc, Landrace and Yorkshire species that were born between 2000 and 2008. Heritability by estimated additive genetic effect showed higher than one by maternal genetic effect using multivariate maternal animal model in each trait examined by each breed and most heritability when considering only additive genetic effect in multiple traits animal model was estimated to be higher than one by estimated additive genetic effect in multivariate maternal animal model. In correlation between breeding value by estimated maternal genetic effect and phenotypic value using multivariate maternal animal model, rank correlation and simple correlation of breeding value and phenotypic value by maternal genetic effect also showed low positive correlation or strong negative correlation, which can be considered that if correlation with phenotype were increased properly considering maternal genetic effect in each trait by each breed, even better improvement could be promoted.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.11
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• pp.350-356
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• 2017

This study was conducted to examine the influence of the maternal genetic effect of swine on their economic traits through the estimation of their genetic parameters, breeding value and genetic trends using an animal model. The data on Duroc pigs, Korean Native Pigs and Synthetic pigs (Duroc ${\times}$ Korean Native Pig) from 2000 to 2015 were obtained from the National Institute of Animal Science in Korea and used to estimate the genetic parameters for the average daily gain (ADG) and backfat thickness (BFT). Model 1 included the additive genetic effect of the animals, Model 2 consisted of Model 1 + the maternal genetic effect and Model 3 consisted of Model 2 + the maternal permanent environment effect. The heritability calculated by estimating the additive genetic effect was higher than that calculated by estimating the maternal genetic effect using the maternal animal model. The estimated genetic correlations between the additive and maternal genetic effects for the ADG and BF were strongly negative. Thus, the estimation of the breeding value can be used to select the most appropriate individuals and make an optimal breeding scheme.

• Journal of Animal Science and Technology
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• v.44 no.5
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• pp.499-506
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• 2002

This study was conducted to estimate the heritabilities and genetic and phenotypic correlations among average daily gain, age at 90kg and backfat thickness in Yorkshire pigs. The data were obtained from 2,111 heads of Yorkshire tested at National Livestock Research Institute from May, 1994 to April, 2000. Genetic parameters were estimated with a multiple trait animal model by using DF-REML (Deri- vative-Free REstricted Maximum Likelihood). The results obtained are summarized as follows ; The means of traits studied were 0.871${\pm}$0.124 kg for average daily gain, 145.397${\pm}$11.718 days for age at 90kg and 1.476${\pm}$0.241 cm for backfat thickness. The estimated heritabilities were 0.55 for average daily gain, 0.56 for age at 90kg and 0.55 for backfat thickness. The genetic correlation of average daily gain with age at 90kg and backfat thickness were －0.82, 0.10, respectively. The genetic correlation of age at 90kg with backfat thickness was －0.25. The phenotypic correlations of average daily gain(ADG) with age at 90kg and backfat thickness and age at 90kg with backfat thickness were －0.77, 0.02 and －0.05 respectively. Though phenotypic correlation of ADG and age at 90kg was low, breeding project should be carefully considered by high genetic correlation. High heritabilities on all economic traits were obtained. Therefore, it is considered that suitable selection and management is needed successful improvement.

• Journal of Animal Science and Technology
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• v.46 no.2
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• pp.145-154
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• 2004

This study was conducted to estimate genetic parameter of Duroc, Landrace and Yorkshire breeds based on the on-farm performance tested records of 57,316 pigs under the supervision of Korean Animal Improvement Association from 1992 to 1999. Genetic parameters were estimated with a multiple trait animal model by using DF - REML. The result obtained in this study was summarized as follow ; The estimated heritabilities of Duroc, Landrace and Yorkshire were 0.46${\sim}$0.65 for the average backfat thickness, 0.28${\sim}$0.31 for loin depth, 0.50～0.60 for percent lean, 0.45${\sim}$0.55 for the average daily gain, 0.38${\sim}$0.50 for age at 90kg, respectively. Phenotypic correlation of average backfat thickness with loin depth, percent lean, average daily gain and age at 90㎏ for the three breeds were -0.12${\sim}$-0.01, -0.81${\sim}$-0.76, 0.34${\sim}$0.46, and -0.41${\sim}$-0.33, respectively. Phenotypic correlation of loin depth with percent lean, average daily gain and age at 90kg were 0.12${\sim}$0.23, 0.03${\sim}$0.21, and -0.17${\sim}$-0.03, respectively. Phenotypic correlation of percent lean with average daily gain and age at 90kg were -0.37${\sim}$-0.26 and 0.26～0.35, respectively. Phenotypic correlation of average daily gain with age at 90kg was -0.97${\sim}$-0.95. The estimated genetic correlation coefficients of average backfat thickness with loin depth, percent lean, average daily gain and age at 90kg estimated for the three breeds were -0.17${\sim}$0.03, -0.79${\sim}$-0.69, 0.24${\sim}$0.45 and -0.41${\sim}$-0.19, respectively. The estimated genetic correlation coefficients of loin depth with percent lean, average daily gain and age at 90kg were 0.11～0.19, 0.23 and -0.30～-0.20, respectively. The estimated correlation coefficients of percent lean with average daily gain and age at 90kg were -0.36${\sim}$-0.13 and 0.10～0.34, respectively. The estimated genetic correlation coefficients of average daily gain with age at 90㎏ was -0.96${\sim}$-0.95.