Natural uranium-contaminated soil in Korea Atomic Energy Research Institute (KAERI) was generated by decommissioning of the natural uranium conversion facility in 2010. Some of the contaminated soil was expected to be clearance level, however the disposal cost burden is increasing because it is not classified in advance. In this study, pre-classification method is presented according to the ratio of naturally occurring radioactive material (NORM) and contaminated uranium in the soil. To verify the validity of the method, the verification of the uranium radioactivity concentration estimation method through γ-ray analysis results corrected by self-absorption using MCNP6.2, and the validity of the pre-classification method according to the net peak area ratio were evaluated. Estimating concentration for 238U and 235U with γ-ray analysis using HPGe (GC3018) and MCNP6.2 was verified by 􀟙-spectrometry. The analysis results of different methods were within the deviation range. Clearance screening factors (CSFs) were derived through MCNP6.2, and net peak area ratio were calculated at 295.21 keV, 351.92 keV(214Pb), 609.31 keV, 1120.28 keV, 1764.49 keV(214Bi) of to the 92.59 keV. CSFs for contaminated soil and natural soil were compared with U/Pb ratio. CSFs and radioactivity concentrations were measured, and the deviation from the 60 minute measurement results was compared in natural soil. Pre-classification is possible using by CSFs measured for more than 5 minutes to the average concentration of 214Pb or 214Bi in contaminated soil. In this study, the pre-classification method of clearance determination in contaminated soil was evaluated, and it was relatively accurate in a shorter measurement time than the method using the concentrations. This method is expected to be used as a simple pre-classification method through additional research.

As the importance of radioactive waste management has emerged, quality assurance management of radioactive waste has been legally mandated and the Korea Radioactive Waste Agency (KORAD) established the “Waste Acceptance Criteria for the 1st Phase Disposal Facility of the Wolsong Lowand Intermediate-Level Waste Disposal Center (WAC)”, the detailed guideline for radioactive waste acceptance. Accordingly, the Korea Atomic Energy Research Institute (KAERI) introduced a radioactive waste quality assurance management system and developed detailed procedures for performing the waste packaging and characterization methods suggested in the WAC. In this study, we reviewed the radioactive waste characterization method established by the KAERI to meet the WAC presented by the KORAD. In the WAC, the characterization items for the disposal of radioactive waste were divided into six major categories (general requirements, solidification and immobilization requirements, radiological, physical, chemical, and biological requirements), and each subcategories are shown in detail under the major classification. In order to satisfy the characterization criteria for each detailed item, KAERI divided the procedure into a characterization item performed during the packaging process of radioactive waste, a separate test item, and a characterization item performed after the packaging was completed. Based on the KAERI’s radioactive waste packaging procedure, the procedure for characterization of the above items is summarized as follows. First, during the radioactive waste packaging process, the characterization corresponding to the general requirements (waste type) is performed, such as checking the classification status of the contents and checking whether there are substances unsuitable for disposal, etc. Also, characterization corresponding to the physical requirements is performed by checking the void fraction in waste package and visual confirmation of particulate matter, substances containg free water, ect. In addition, chemical and biological requirements can be characterized by visually confirming that no hazardous chemicals (explosive, flammable, gaseous substances, perishables, infectious substances, etc.) are included during the packaging process, and by taking pictures at each packaging steps. Items for characterization using separate test samples include radiological, physical, and chemical requirements. The detailed items include identification of radionuclide and radioactivity concentration, particulate matter identification test, free water and chelate content measurement tests, etc. Characterization items performing after the packaging is completed include general requirements such as measuring the weight and height of packages and radiological requirements such as measurements of surface dose rate and contamination, etc. All of the above procedures are proceduralized and managed in the radioactive waste quality assurance procedure, and a report including the characterization results is prepared and submitted when requesting acceptance of radioactive waste. The characterization of KAERI’s radioactive waste has been systematically established and progressed under the quality assurance system. In the future, we plan to supplement various items that require further improvement, and through this, we can expect to improve the reliability of radioactive waste management and activate the final disposal of KAERI’s radioactive waste.

성숙 콩 종실에 함유되어져 있는 raffinose와 stachyose 성분은 난분해성 올리고당이며, 인체 내에서는 분해 및 흡수가 되지 않고 장내 가스나 소화불량을 일으킨다. Raffinose와 stachyose의 함량이 적은 콩 계통을 육성하기 위한 기초 정보를 얻기 위하여 59개의 유전자형을 이용하여 2년간 포장에서 재배한 후 raffinose와 stachyose의 함량을 분석하였다. Raffinose의 2년간 평균 함량은 3.353~10.271g/kg의 범위를 보였고 육종계통 Da-7에서 가장 낮았으며 PI506592 유전자원이 가장 높은 값을 보였으며 59개 유전자형에 대한 평균값은 5.035g/kg으로 나타났다. Stachyose의 2년간 평균 함량은 2.468~36.745g/kg의 범위를 보였고 육종계통 10S31에서 가장 낮았으며 PI283327 유전자원이 가장 높은 값을 보였으며 59개 유전자형에 대한 평균값은 17.222g/kg으로 나타났다. Raffinose 성분은 3.6~7.2g/kg의 범위에서 52개의 유전자형이 분포하였고, stachyose 성분에서는 12~24g/kg의 범위에서 39개의 유전자형이 분포하였다. Raffinose의 함량에서는 년차간 부의 상관관계를 보였고, stachyose의 함량에서는 년차간 정의 상관관계를 보였다. Raffinose와 stachyose의 함량간에는 정의 상관관계을 보였다.

Soybean cultivars with genetically low levels of stachyose enhance the utilization of soybean in food as well as feed uses. The objective of this research is to obtain the information on indirection selection of soybean lines with low stachyose content using DNA marker based on RS2 (rs2) gene. Two genetic populations were developed from the crosses of three parents (116-13 parent : low stachyose content, PI417227 and PI506903 parents: normal stachyose content). Twenty F2 plants of RS2_ genotype and twenty F2 plants of rs2rs2 genotype from each populations were harvested. Content of stachyose was detected by HPLC. Stachyose contents (g/kg) of 116-13, PI417227, PI506903 parents were 3.7, 23.7, and 17.8, respectively. In population 1, stachyose content 20 F2 plants with RS2_ genotype was 14.8 – 24.1 and stachyose content 20 F2 plants with rs2rs2 genotype was 2.1 – 4.7. In population 2, stachyose content 20 F2 plants with RS2_ genotype was 12.4 – 19.7 and stachyose content 20 F2 plants with rs2rs2 genotype was 2.1 – 5.0. Mean difference between RS2_ genotype and rs2rs2 genotype in population 1 and 2 was highly significant. From this results, selection of genetic lines with low stachyose content by DNA marker based on RS2 (rs2) gene will be possible.

Soybean (Glycine max (L.) Merr.) is an important crop for protein, oil, carbohydrates, isoflavones, and many other nutrients to humans and animals. But, antinutritional factors in the raw mature soybean are exist. Raffinose and stachyose are main antinutritional factors in soybean seed. Both raffinose and stachyose are carbohydrates, belonging to the raffinose family of oligosaccharides (RFOs). RFOs are not readily digested in humans and cause flatulence or diarrhea. The objective of this research is to obtain the information on raffinose and stachyose content according to genotype and environment. A total of twenty two soybean genotypes (11 cultivars, 3 germplasms and 8 breeding lines) were selected. Each genotype was grown in the field for two years with two replications and harvested in bulk at natural maturity for two years. Content of raffinose and stachyose was detected by HPLC. The raffinose content (g/kg) of 22 genotypes was 2.68±0.21 - 5.87±2.43 in year 1 and was 3.24±0.37 - 9.05±0.16 in year 2. The stachyose content (g/kg) was 4.23±0.98 - 27.68±9.90 at year 1 and was 5.11±1.09 - 25.32±0.35 in year 2. Genotype and environment have highly significant effects on raffinose and stachyose content. Three genotypes (Da-7, 116-13, and RS-78) have low stachyose content at 5% significant level in two years. A positive correlation (R2=0.1985*) between raffinose and stachyose was observed in year 2. These informations are valuable in soybean genetics and breeding program related with raffinose and stachyose content.

Genetic linkage maps serve the plant geneticist in a number of ways, from marker assisted selection in plant improvement to map-based cloning in molecular genetic research. Genetic map based upon DNA polymorphism is a powerful tool for the study of qualitative and quantitative traits in crops. The objective of this study was to develop genetic linkage map of soybean using the population derived from the cross of Korean soybean cultivar 'Kwangkyo, and wild accession 'IT182305'. Total 1,000 Operon random primers for RAPD marker, 49 combinations of primer for AFLP marker, and 100 Satt primers for SSR marker were used to screen parental polymorphism. Total 341 markers (242 RAPD, 83 AFLP, and 16 SSR markers) was segregated in 85 ~textrmF2 population. Forty two markers that shown significantly distorted segregation ratio (1:2:1 for codominant or 3:1 for domimant marker) were not used in mapping procedure. A linkage map was constructed by applying the computer program MAPMAKER/EXP 3.0 to the 299 marker data with LOD 4.0 and maximum distance 50 cM. 176 markers were found to be genetically linked and formed 25 linkage groups. Linkage map spanned 2,292.7 cM across all 25 linkage groups. The average linkage distance between pair of markers among all linkage groups was 13.0 cM. The number of markers per linkage group ranged from 2 to 55. The longest linkage group 3 spanned 967.4 cM with 55 makers. This map requires further saturation with more markers and agronomically important traits will be joined over it.