This study was conducted to analyze the effect of single nucleotide polymorphisms (SNPs) on the equine chromosomes (ECA) 3 for the body conformations of 12 month of age in Jeju crossbred (Jeju horses × Thoroughbred). A total of 199 Jeju crossbred horse samples were obtained from the National Institute of Subtropical Livestock Research Institute for this study. To correctly estimate the body conformations, we measured thirteen elements relevant to the body conformation such as body weight, wither height, body length for all the 199 horses at 12 month of age. Furthermore, all the horses were genotyped using four SNPs including the BIEC2-808466, BIEC2-808543, BIEC2-808967, BIEC2-809370, of which genomic coordinates range approximately from 105.1Mbp to 110 Mbp in the ECA3. For the phenotypic data sets, the average body weight was 193.7 ± 24.5㎏ and the height was 124.5 ± 4.0㎝. As for the genotypic data, the miner allele frequencies of the SNPs were shown to be varied from 0.01 to 0.291. Using the phenotypic and genotypic data sets, analysis of covariance was performed to find any association between those SNP genotypes and body conformations, using year of birth, month of birth, sex, and parity as the covariance components. The result showed that alternative genotypes in the BIEC2-808967 and BIEC2-809370 SNPs were significantly associated with the body length (P<0.05) and the wither height (P<0.05) respectively in the Jeju crossbred horses. Therefore, it is estimated that there are significant associations in the body conformation of 12 month of age of Jeju crossbred for those two SNPs used in this study.

vThis study analyzed the coat color-related genes of MC1R, ASIP, ECA3-inversion, and STX17 of 1,462 Jeju horses administered by the Jeju Special Self-Governing Province. This was done to investigate the distributional characteristics of coat color-related genes in the Jeju horse group and the changes of its coat color-related genes by generation. The genotype frequency of the MC1R gene of E+/E+ and E+/Ee related to black coat color was 0.122 and 0.447, respectively, while Ee/Ee of the chestnut genotype was 0.429. The genotype frequency of the ASIP gene of AA/AA, AA/Aa, and Aa/Aa was 0.46, 0.448, and 0.091, respectively, where the genotype frequency of Aa/Aa turned out to be relatively low. The To/To and +/To genotype that manifests the Tobiano shape was 0.001 and 0.119, respectively, with the share of Tobiano shape around 12%. The genotype frequency of G/G and G/g of STX17 related to grey coat color was 0.002 and 0.680, respectively, with the share of grey horses among the Jeju horse group at 68.2%. As for the change of coat color genes by generation, no large changes were observed in the MC1R and ASIP genes. In ECA3-inversion, the To allele that manifests Tobiano significantly decreased following the generational change (p<0.05), while the STX17 G allele related to grey coat color significantly increased following the generational change (p<0.05). It will be necessary to examine the coat color genes when selecting breeding horses so that the diversity of coat colors among the Jeju horse group can be maintained.

This study is a duralumin and applying heat to the STS-wide measurement range is used, the surface temperature by using the temperature of studying the non-destructive testing of a new paradigm to estimate the position and size of a structure defect purpose. STS and duralumin which has a structure defect is applied a heat by a heater. Its difference of STS and duralumin surface temperature is measured using IR thermography. The estimated result of the STS and duralumin experiment and that of theoretical analysis of PDE are compared and analyzed to diagnose the STS and duralumin defect. Moreover, this study can save time and money and improve accuracy contrast to the existing ultrasonic NDE experiment. In addition, the new paradigm of NDT/NDE by reverse-engineering is going to be valid if the data of thermal analysis and temperature distribution from the specifications of many materials is accumulated and verified. In this study, the average surface temperature of the STS in the same heating condition was 4.53 ° K higher than that of duralumin and both of the surface temperature showed an inflection point in the defect 2.5mm.The maximum surface temperature difference was formed on the 2.5mm, and the study proves its reliability because the average surface temperature of the STS and duralumin was 0.74°K, 0.45°K higher than the theoretical surface temperature.

제주마 경주 능력 개량을 위한 기초 자료 확보를 위하여 혈통 정보량과 오류량이 유전 모수 추정에 미치는 영향을 분석하였다. 혈통 자료는 램덤으로 혈통 정보의 삭제(0~25%) 또는 오류 유발(0~25%)과 각 수준별 20회 반복으로 모의자료를 형성하였다. 분석에 이용된 형질은 제주마 1,000m 경주의 주파 시간을 이용하였고, 상가적 유전 분산의 추정은 DF-REMLAI 알고리즘을 이용하였다. 개체의 양부모에 대한 정보 유실량과 오류량의 증가는 선형적인 회귀관계로 상가적 유전 분산 성분(유실 b = -0.079, 오류 b= -0.114)과 유전력 추정치(유실, b= -0.006; 오류, b = 0.008)의 감소를 초래했다(p＜0.01). 특히 개체의 양부모에 대한 정보유실보다는 정보 오류가 상가적 유전분산량과 유전력 추정치를 보다 크게 왜곡하는 것으로 나타났다. 부 또는 모에 대한 정보의 유실과 오류의 증가도 대부분 오차 분산 성분과 영구 환경 분산 성분의 증가를 유발시키고, 상가적 유전 분산성분의 감소를 가져왔다. 원자료에서 얻은 모수를 기준으로 했을 때 양부모에 대한 정보의 유실량과 오류량이 1% 증가함에 따라 유전력은 각각 0.92% 및 1.39%씩 낮아지는 관계를 보였다 (p＜0.01). 제주마의 1,000m 주파 속도에 대한 유전력은 0.60으로 추정되었지만, 초기 집단에 존재하는 혈통 정보의 누락 및 오류를 고려한다면 실제보다도 10% 정도는 낮게 추정되고 있다고 사료되었다. 이와 같은 결과는 상가적 유전 분산량의 감소는 물론, 선발에 따른 제주마의 경주 능력에 대한 유전적 개량량에도 영향을 줄 것으로 판단된다.

본 연구는 244,443 도체로부터 얻은 도체특성(성별, 등지방두께 및 도체중), 사육환경(자돈의 성별 분리사육, 돈사의 온도관리 유무, 돈사의 형태, 환기방식, 급수원의 종류, 음수 개선시설의 유무, 돈사의 연간 소독횟수, 돈사의 바닥형태 및 평당 사육두수), 출하방법(선별출하, 출하일령, 등지방두께의 편차 및 도체중의 편차) 및 번식특성과 자돈관리(모돈의 산차, 이유일령, 정액의 분양처 및 자돈의 품종)등의 자료를 바탕으로 돼지의 도체가격에 미치는 영향을 분석하기 위해 실시하였다. 도체특성 변수에서 암퇘지 및 거세돈이 숫퇘지보다 높은 가격을 형성하였으며(p<0.05), 등지방두께 15-29mm 및 도체중 91-95kg가 높은 도체가격을 보였다(p<0.05). 도체가격에 대한 등지방 두께 및 도체중은 도체가격 형성에 각각 90.75%와 90.23%를 차지하였다. 하지만, 사육환경, 출하방법, 번식관리는 각각의 방법별로 가격에 유의적인 차이를 보였으나, 도체가격형성에는 낮은 영향을 미쳤다. 이상의 결과 여러 가지 변수 중 등지방 두께 및 도체중이 도체가격에 큰 영향을 미친 것으로 나타났다.

This study was carried out to examine a molecular marker system for parentage test in Jeju Black cattle (JBC). Based on the preliminarily studies, we finally selected for construction of a novel genetic marker system for molecular traceability, identity test, breed certification, and parentage test in JBC and its related industrial populations. The genetic marker system had eight MS markers, five indel markers, and two single nucleotide polymorphisms (SNPs; g.G299T and g.del310G) within MC1R gene which is critical to verify the breed specific genotypes for coat color of JBC differing from those of exotic black cattle breeds such as Holstein and Angus. The results showed lower level of a combined non-exclusion probability for second parent (NE-P2) of 4.1202×10-4 than those previously recommended by International Society of Animal Genetics (ISAG) of 5.000×10-4 for parentage, and a combined non-exclusion probability for sib identity (NE-SI) of 2.679×10-5. Parentage analysis has been successfully identified the JBC offspring in the indigenous population and cattle farms used the certified AI semens for production using the JBC-derived offspring for commercial beef. This combined molecular marker system will be helpful to supply genetic information for parentage test and traceability and to develop the molecular breeding system for improvement of animal productivity in JBC population.