• Journal of Animal Science and Technology
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• v.44 no.4
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• pp.391-398
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• 2002

This study was conducted to determine the polymorphism of transferrin exons 13, 15 and 16 by Single-Strand Conformation Polymorphism(SSCP) analysis and to compare their genotypes of Cheju horse Group I (Cheju Institute), Cheju horse Group II (farms), and Thoroughbred (KRA). SSCP of transferrin exon 13, 15, and 16 showed two (A, B), three (A, B, C) and three (A, B, C) codominant alleles, respectively. The Group I and Thoroughbred showed the similar frequencies of allele A and B in transferrin exon 13, but only allele A was observed in Group Ⅱ. In transferrin exons 15 and 16, the frequencies of each allele were different in each Groups. The multiple allele frequencies in exons 15 and 16 suggested that the genotyping of this locus could be used to identify an individual and to test the parentage of offspring. The probability for parentage exclusion were 0.46 and 0.374 for exons 15 and 16 for Cheju horse Group I. Among the 13 combined genotypes of exons 13, 15 and 16, the genotype AA-AB-AB (0.372) is the most common in Cheju horse Group I, but genotype AA-AA-AA is common in the Cheju horse Group II (0.366) and Thoroughbred (0.767). The present study showed two new SNP, which was at the cDNA position 1626 (A/G) in B allele of the exon 13 and 2075 (C/T) in C allele of the exon 16 resulting in amino acid change (Threonine $\longrightarrow$ Methionine). Result showed that polymorphism of exons 13, 15 and 16 in Cheju horses was as high as in Thoroughbred and there was a differences of transferrin allele frequencies in Cheju horses.

• Journal of Animal Science and Technology
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• v.51 no.5
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• pp.353-360
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• 2009

When 14 microsatellite (MS) markers were applied in the identifying test for 480 Hanwoo, the discriminating power was estimated as $3.43{\times}10^{-27}$ based on the assumption of a random mating group (PI). This rate is 1,000 times higher than that of 60 single nucleotide polymorphism (SNP) markers. On the other hand, the power of the 60 SNP markers was estimated as $4.69{\times}10^{-20}$ and $8.02{\times}10^{-12}$ on the assumption of a half-sib mating group ($PI_{half-sibs}$) and a full-sib mating group ($PI_{sibs}$), respectively. These powers were 10 times and 10,000 times higher than those of the 14 MS markers. The results indicated that the total number of alleles (MS vs SNP = 146 vs 120) acted as a key factor for the discriminating power in a random mating population, and the total number of markers (MS vs SNP = 14 vs 60) was a dominant influence on the power in half-sib and full-sib populations. In the Hanwoo population, in which it was assumed that the entire population is the enormous half-sib group formed by the absolute genetic contribution of a few nuclear bulls, there will be only a 10 times difference in the discriminating power between the 14 MS markers and the 60 SNP makers. However, the probability of not excluding a candidate parent pair from the parentage of an arbitrary offspring, given that only the genotype of the offspring ($PNE_{pp}$) was 1,000 times higher as shown by the 14 MS markers than that by the 60 SNP markers. The strong points of SNP makers are the stability of the variation (low mutation rate) and automation of high-throughput genotyping. In order to apply these merits for the practical and constant Hanwoo identity test, research and development are required to set a cost-effective platform and produce a homemade apparatus for SNP genotyping.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.50 no.6
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• pp.428-434
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• 2005

For the purpose to verify the grain and evaluate milling properties of Korean waxy wheat, com­parison analysis between waxy wheat lines and their respective maternal parents were performed. The waxy lines showed various grain yields of 4.76${\~}$5.79 t/ha depending on parentages, which were corresponding to $80{\~}96\%$ levels of their respective maternal parents. One thousand grain weights of waxy lines were also lighter than its respective part in its parentage by exhibiting 32.8${\~}$34.6 g compared to 32.9${\~}$45.2 g of their parents. Test weights of waxy lines and their parents were 720${\~}$798 g/l and 786${\~}$797 g/l, respectively. The proportions of the grains above 2.5 mm in width were higher in order of Keumgang, Olgeuru, Geuru, SW97134, Suwon 292, Woori, SW97105, and SW97110. Waxy lines exhibited low milling properties by showing the straight flour yields ranging from $61.8\%$ to $67.1\%$ compared with the yields of their parents ranging from $66.1\%$ to $72.5\%$; the waxy lines were significantly lower in first break flour (Bl) and first reduction flour (Rl) yields in the Buller test mill, while significantly higher in the yields of second and third reduction flour (R2 and R3) than the respective ones of their parent wheat.

• Journal of agriculture & life science
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• v.46 no.5
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• pp.73-82
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• 2012

Allele information from the analysis of the 13 microsatellite (MS) markers, were classified into the $F_0$, $F_1$ and $F_2$ generations, and probabilities of the same individual emergency in each generation was calculated. As a result, the 13 MS markers showed an estimate of $3.84{\times}10^{-23}$ on the premise of the randomly mated group of $F_2$, which implies that the same individuals may emerge by the use of 37 kinds of SNP markers. In this study, the experimental pigs were intercross between only 2 breeds (Korean native pig and Landrace). In addition, the success rate of paternity tests was analyzed on the whole group, by the use of the 13 MS markers and 37 SNP markers. As regards the exclusionary power of the second parent ($PE_{pu}$), MS markers and SNP markers showed 0.97897 and 0.99149, respectively. In relation to the parent exclusion power of both parent (PE), MS markers and SNP markers showed 0.99916 and 0.99949, respectively. In the case of the estimate to identify parental candidates that had the highest probability ($PNE_{pp}$), the two showed 1.00000 all. The Korean pig industry tends to mass produce hogs with limited numbers of alleles in limited parents. Such being the case, there is a need to organize a marker, for which it is imperative to find markers with high efficiency and high economic feasibility of the characteristics of DNA markers, sample size, the accuracy and expenses of genotyping cost, the manageability of data and the compatibility among analysis systems.