Fresh market tomato cultivars are divided largely based on fruit color appearance (red or pink), which is attributed by the trait of peel. It had been reported that mutation of the Slmyb12 gene suppresses synthesis of yellow-colored flavonoid (naringenin chalcone) in peel and causes pinkish tomato fruit. Whereas wild-type tomato plants synthesizing naringenin chalcone produce yellow-colored peel, which resulting in the fruit appearance to be red. The present study was performed to investigate the association between the Slmyb12 and fruit color of domestic tomato inbreed lines. A SCAR marker was developed from an Indel mutation site (72bp insertion in exon3) of the Slmyb12, and tested on 22 and 18 red and pink-fruited inbred lines, respectively. Unexpectedly, the results showed that all inbred lines tested had wild-type Slmyb12. The full length sequences of the Slmyb12 were cloned from two inbred lines (FCR1 and FCP1), but the sequence alignment did not identify any nucleotide variations within this gene. Furthermore, scanning of SNPs between FCR1 and FCP1 using SolCAP Tomato SNP array) found no SNPs for Slmyb12. To delimit the genomic region of the gene conferring fruit color of domestic tomato lines, we are analyzing SNPs in the genes adjacent to the Slmyb12 using an F2 population derived from FCR1 x FCP1. So far, one SNP located at 1,750kbp downstream from the stop codon of Slmyb12 was mapped using 54 F2 plants and 83% of phenotype-marker association was revealed, demonstrating that the fruit color is controlled bySlmyb12 indeed, or other neighboring gene(s) involved in the pathway of naringenin chalcone synthesis. Further study with more SNPs will clear up this question.

Most of the melon(Cucumis melo L.) breeding lines in Korea show andromonoecious (male-perfect flowers) sex expression, which requires laborious hand emasculation to produce the F1 seeds. There is a high demand for developing monoecious (male-female flowers) elite germplasm. The present study was carried out to develop molecular markers for selecting monoecious plants based on the CmACS-7 gene [a locus with 1-aminocyclopropane-1-carboxylic acid synthase(ACS) activity] responsible for ethylene synthesis and sex determination in melon. The full length sequences of the CmACS-7 were cloned from a monoecious inbred ‘Mo23’ and an andromonoecious inbred ‘Am24’. Sequence alignment revealed a major SNP(C170T) in exon1 and 18bp indel in intron4 of the CmACS-7, and a CAPS (SNP-C170T) and SCAR (ID4-18) were developed from the SNP and indel, respectively. A total of 453 F2 plants derived from ‘Mo23’ x ‘Am24’ were determined for their sex expression and genotyped using the SCAR marker. A Mendelian ratio of 3(monoecy): 1(andromonoecy) was observed from the F2 population, and sex type of 449 plants (except for four plants that showed incomplete monoecy) cosegregated with the SCAR marker, demonstrating that CmACS-7 is a single dominant gene conferring monoecy of ‘Mo23’. Allele variation of the CmACS-7 was evaluated by genotyping 114 melon accessions with diverse geographical origins using the CAPS and SCAR. C170T-SNP in exon1 of the CmACS-7 was highly conserved in melon germplasm and perfectly matched with the phenotype, whereas the 18bp-indel mutation in intron4 existed in various forms. The results demonstrated that CAPS marker SNP-C170T can be useful for marker-assisted selection(MAS) of monoecious melon plants

As one of the most important crop, rice is not only a staple food of half world’s population but a wonderful model plant, which has been leading the evolution and functional genomics study. The next-generation sequencing technology are expediting rice genomic study, by providing a simple but powerful way. In this study, we re-sequenced a core collection of 137 rice accessions from all over the world along with 158 Korean breeding varieties. Finally, 6.3G uniquely mapped reads were obtained, and about 10 million SNPs and ~1.2 million InDels were identified with average sequencing depth of 7.5X. These will help us to maximize our germplasm utilization and assists all the deep research in population dynamics and functional studies. Here, we’d like to show the approaches applied to resequencing data mining and on-going activities.

This study was conducted to determine the optimal dose of gamma-ray for mutation breeding in sorghum (Sorghum bicolor M.). Gamma-rays irradiated to dry seeds with various doses (0 to 1000 Gy) at Korea Atomic Energy Research Institute. Lethal dosage (LD50) was approximately 256 Gy. Significant decreases in growth characteristics (plant height, tiller number and fresh weight) were observed by dose of increased over 300 Gy. Reduction doses (RD50) was approximately 363 Gy in plant height. We also conducted comet assay to observe nucleus DNA damage due to gamma irradiation. In comet assay, a clear difference was identified over 100 Gy treatments. With increasing doses of gamma-ray in the range of 100 to 400 Gy, the rate of head DNA was decreased significantly from 93.52% to 67.57%. The most of the Sorghum cells were severely damaged in the integrity of DNA by gamma-ray. These data provide valuable information when the optimal dose should be chosen for purpose of mutation breeding program of Sorghum.

Gliadins are the main class of wheat seed storage proteins. Since gliadins show a high level of polymorphism as well as genetically fixed, it can be used as a marker for the genetic identification. Gliadin subunit diversity information can be useful for wheat quality breeding programs. Tunisia is a country in the North Africa bordered with the Mediterranean Sea to the north and the east but with the Sahara desert to the south, which represent extremely different growth climate. Therefore, there may be a numerous variation in Tunisian common wheat and durum wheat. Total 48 lines of wheat consisted of 32 common wheat (16 Korean wheat and 16 Tunisian common wheat) and 16 Tunisian durum wheat were incorporated in this study. Gliadins were extracted with 70% ethanol and fractionated by acid polyacrylamide gel electrophoresis (A-PAGE) at 8% in aluminum lactate buffer (pH 3.1). The gel was stained with 0.25% Coomassie Brilliant Blue (CBB) R-250. The presence of each gliadin subunit band was scored and cluster analysis was carried out. The cluster showed that wheat varieties were classified into some groups and their genetic distance could be identified. The obtained information will be helpful to the future breeding program of tetraploid durum wheat as well as hexaploid common wheats. Acknowledgement: This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MEST) (No. 2012K1A3A1A09028123) and carried out with the support of “Cooperative Research Program for Agriculture Science & Technology Development (Project title: Development of high yielding wheat with stress tolerance via molecular breeding strategies, Project No. PJ008031)”, Rural Development Administration, Republic of Korea.

Soil salinity limits crop productivity in many regions. This problem would be more serious as the global climate changes and worldwide water shortages would accelerate soil salinization. This study is fulfilled with aim on resolve crop cultivation in dry/saline land as an international joint research project with Tunisia. Total 48 lines of wheat cultivars including 32 common wheat (16 Korean wheat, 16 Tunisian common wheat) and 16 Tunisian durum wheat were incorporated in this study. Salt stress was applied for 2 weeks by submerging the pots into 500 mM NaCl at 3-leaf stage followed by re-watering for restoration in greenhouse. Numerous agronomic/growth parameters were scored for tolerence. SSR primers that have been known to be related to salt tolerance were applied to explain selected population. The correlation between PCR-based length polymorphism of selected lines and their resistance were evaluated. The obtained information will aid selection for salt tolerance hexa/tetraploid wheats. Acknowledgement: This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MEST) (No. 2012K1A3A1A09028123) and carried out with the support of “Cooperative Research Program for Agriculture Science & Technology Development (Project title: Development of high yielding wheat with stress tolerance via molecular breeding strategies, Project No. PJ008031)”, Rural Development Administration, Republic of Korea.

Purpose - The study aimed to evaluate the market opportunities and constraints confronting resource-poor pig farmers in South Africa. Research design, data, and methodology - Information was collected from 292 households in three municipalities through interviews with key informants. The data collected included socio- economic characteristics, major market channels, prices for different pig classes, average weight of the pigs on sale, number of pigs sold annually, and preferred meat quality attributes. Results - In Ngqushwa, 96% of respondents sold pigs as compared to Elundini (81%) and Ntabankulu (65%). Less resource- poor households and those with market-oriented production had large herdsizes (P < 0.05) when compared to more resource-poor farmers. The probability of selling pigs was high for the backyard production system and educated farmers. For all farmers, opportunities included high pork demand, good prices, employment creation, and a niche market for organically produced indigenous pork. Constraints include disease, feed shortages for large herds, distances to formal markets, lack of training, and drugs. Conclusions - Constraints outnumbered opportunities for the resource-poor pig farmers

Purpose – This study attempts to examine Islamic banking practices in Iran based on new scientific methods. Design, methodology, and approach – The study used financial ratios demonstrating healthy or non-healthy banks to assess the financial health of banks listed on the Tehran Stock Exchange. The assessment of these ratios with a decision tree as a non-parametric method for modeling is recommended to present this model. Information about the financial health of banks could affect the decisions of different groups of banks’ financial report users including shareholders, auditors, stock exchanges, central banks, and so on. Results – The results of the study show that a decision tree is a strong approach for classifying Islamic banks in Iran. Conclusions – To date, several studies have been conducted in various countries on the topic of this study. Considering the importance of Islamic banking, this is one of the first studies in Iran the outcomes of the study may prove helpful to the Iranian economy.

System identification was performed on the swing span of a steel truss bridge using a wireless sensor network. The swing span can rotate 360° to allow river traffic to pass through the locks located under the bridge. The twenty-two wireless sensor nodes were installed on the span to measure synchronized tri-axial acceleration. Modal properties of the bridge according to its different positions were successfully obtained using frequency domain decomposition method, and compared with the ones from the FE model of the bridge.

A package of space science instruments, dubbed the Instruments for the Study of Space Storms (ISSS), is proposed for the Next Generation Small Satellite-1 (NEXTSat-1), which is scheduled for launch in May 2016. This paper describes the instrument designs and science missions of the ISSS. The ISSS configuration in NEXTSat-1 is as follows: the space radiation monitoring instruments consist of medium energy particle detector (MEPD) and high energy particle detector (HEPD); the space plasma instruments consist of a Langmuir probe (LP), a retarding potential analyzer (RPA), and an ion drift meter (IDM). The space radiation monitoring instruments (MEPD and HEPD) measure electrons and protons in parallel and perpendicular directions to the geomagnetic field in the sub-auroral region, and they have a minimum time resolution of 50 msec for locating the region of the particle interactions with whistler mode waves and electromagnetic ion cyclotron (EMIC) waves. The MEPD measures electrons and protons with energies of tens of keV to ~400 keV, and the HEPD measures electrons with energies of ~100 keV to > ~1 MeV and protons with energies of ~10 MeV. The space plasma instruments (LP, RPA, and IDM) observe irregularities in the low altitude ionosphere, and the results will be compared with the scintillations of the GPS signals. In particular, the LP is designed to have a sampling rate of 50 Hz in order to detect these small-scale irregularities.

Urban stormwater runoff was considered to be more contaminated than the runoff from other land uses due to vehicle and human activities. Specifically, road runoff was commonly regarded as the primary pollutant (e.g. particulates and heavy metals) in the urban environment. Effectiveness of stormwater management strategies and treatment facilities in treating road runoff were highly based on the accuracy of the stormwater quantity and quality estimation. Although direct sampling of runoff during a storm event effectively quantifies the contaminant contributions in a specific area, it is expensive and time consuming. In order to efficiently design these treatment facilities based from the typical pollutant and hydrologic processes, the operation of modelling techniques were recommended. In this research, the physical characteristics of an existing tree box filter treating road runoff were adjusted using stormwater management model (SWMM) to determine the most suitable design configuration for better volume and pollutant reduction. The catchment area (CA), storage volume (SV) and surface area (SA) of the facility was increased or decreased by an increment of 25%. These changes were simulated by SWMM and would predict the influence of larger or smaller CA, SV or SA with respect to the facility performance. The hydrologic, hydraulic and water quality data used in the modelling were gathered from the 10 storm events monitored from July 2012 to July 2013. The total suspended solids were considered as the main target pollutants for this research however, the results will be correlated with the common heavy metal constituents present in the sampled runoff. Various design installations (e.g. series and parallel installation of tree box filter) were also modelled to accurately justify the obtained design configurations. Among the different configurations simulated, increasing the original values of the CA, SV and SA between 0.75% and twice the original value would result to better performance for the system. As for the installations being modelled, a centralized system would provide better volume and pollutant reduction than a divided system.

Purpose – This study examines the relationship between organizational justice and employee job satisfaction and the extent of its moderation by perceived alternative job opportunities. Research design, data, and methodology – This is a cross-sectional study utilizing survey questionnaire data from 220 bank employees, which included scales measuring organizational justice, job satisfaction, and perceived alternative job opportunities. Results – The data is analyzed using correlation and hierarchical regression. Results demonstrated that organizational justice has a direct positive impact on employee job satisfaction further, distributive justice explains more variance in job satisfaction, followed by procedural justice and interactive justice. Perceived alternative job opportunities moderate the relationship between organizational justice and job satisfaction. Conclusions – Generally, organizational justice increases bank employees’ job satisfaction; however, when they perceived more job opportunities, their job dissatisfaction increased notwithstanding fairness. Therefore, perceived job opportunities moderate the relationship between organizational justice and job satisfaction. Retaining skilled employees has become difficult, especially when there is market demand for skilled workers. Human resource (HR) managers should consider market situations before formulating policies; otherwise, they may lose the competitive advantage of skilled employees and workers.

폐전지란 일상적으로 사용하는 각종 전자기기의 전원으로 사용되는 일차전지와 핸드폰, 노트북, 자동차용 배터리 등 충전이 가능한 이차전지가 수명이 다해 발생하는 폐기물을 일컫는다. 이와 같은 폐전지에는 코발트, 니켈, 아연, 망간, 리튬, 구리 등의 유가금속들이 포함되어 있어 유한한 자원을 효율적으로 재활용하기 위해 폐전지 재활용 기술 개발이 요구되어지고 있다. 따라서 본 연구는 6가지 종류의 폐전지, 알카리인, 망간, 니켈 카드튬, 니켈 수소, 리튬 1차, 리튬 이온전지를 질량비 1:1의 비율로 혼합한 전지로부터 유사한 성분함량을 가지는 0.5% Fe, 0.7% Al, 0.1% Cu, 1% Zn, 0.7% Cd, 12% Mn, 7.5% Co, 4% Ni, 3.5% Li을 함유한 모의 용액을 제조하였고 불순물의 제거 및 D2EHPA를 이용한 Zn과 Mn의 추출 후 발생되는 용액으로부터 Co와 Ni을 회수하기 위한 연구를 수행하였다. 실험은 Co를 회수 후 Ni을 회수하였으며 Co를 회수하기 위한 유기 용매로 Cyanex 272, Ni을 회수하기 위한 유기용매로 Versatic 10 acid를 사용하였다. 또한 추출실험에 영향을 주는 인자로써 용매의 농도, O/A 비율, pH에 따른 연구를 수행하였고 탈거실험에 영향을 주는 인자로 O/A 비율과 탈거액인 황산의 농도에 따라 실험을 수행하였다. 모든 분석은 AAS로 진행하였다. 그 결과 4배 농축된 Co와 Ni을 회수할 수 있었다.

폐 전지로부터 유가금속을 회수하는 연구는 환경적인 측면뿐만 아니라 전지 내 광석 보다 높은 품위의 유가금속을 함유하고 있기 때문에 경제적은 측면에서도 상당히 중요하다. 따라서 본 연구는 폐 전지로부터 유가금속을 회수하기 위해 전처리 공정에서 불순물인 Fe및 Al을 물리적 전처리 과정을 통하여 제거하고 유가금속을 농축하기 위한 연구를 수행하였다. 폐 혼합전지의 조성은 질량비로 40%알카라인・망간 전지, 30%리튬이온전지, 10% 리튬 1차전지, 10% 니켈-카드튬 전지, 10% 니켈 수소전지로써 혼합하였다. 혼합된 폐 전지 내 유가금속의 함량은 각 각 14.45% Fe, 7.79% Al, 2.28% Cu, 1.814% Cd, 8.1% Zn, 9.27% Mn, 8.02% Co, 8.72% Ni, 1.43% Li으로 구성되었다. 실험과정은 열처리, 파･분쇄, 시간에 따른 단체분리 과정으로 진행하였다. 단체 분리시 사용된 mesh는 5, 7, 10, 20, 40, 50, 70 mesh size를 사용하였고 그 결과 20초 과･분쇄 5 mesh 기준으로 Zn, Mn, Co, Ni, Li의 경우 농축율이 각 각 90.83%, 92.82%, 91.87%, 92.61%, 87.07% 달성되었고 불순물인 Fe, Al Cu, Cd가 각 각 83.3%, 82.19%, 27.00%, 16.12% 제거되었다. 따라서 이 후 습식 공정을 응용하여 유가금속을 분리 및 회수하기 위한 최적의 시료 조성을 획득하였다.