In this study, the physicochemical traits of soybean (100-seed weight, seed coat rate, protein content, composition, and amino acid content) and the quality of tofu (texture and sensory characteristics) were evaluated in order to determine the features of six varieties (Saedanbaek, Daechan, Daepung2, Seonpung, Miso, Saegeum) in terms of textural and sensory characteristics of tofu. Regardless of cultivar, the order of amino acid composition rate was as follows: Glutamic acid > Aspartic acid > Arginine > Leucine > Lysine. Approximately 50-60% of tofu (dry weight) consisted of protein, and among the cultivars, Tofu made from Saedanbaek showed the highest amount of protein at 59%. It was followed by tofu made from Miso at 54%. The rest contained about 50% protein. According to the result of correlation, crude lipid (-0.933**), crude protein (0.961**), and total phosphorus (0.924**) were strongly correlated with tofu hardness, and such factors could be utilized as an indicator of tofu quality.

Thirty-eight Pea (Pisum sativum L.) genotypes were screened to identify varieties to be suitable for sprout. Based on seed yield and sprout qualities such as whole length and sprout yield, five genotypes (PI269803, PI343278, PI343283, PI343300 and PI 343307) were primarily selected as candidates for pea sprouts. In order to determine optimal cultivation condition for pea sprouting, growth characteristics were investigated according to the change of germination temperature and days for sprouting. Whole length and hypocotyl length were observed to increase as a time dependent manner at each tested temperature (20, 23, and 25°C). However, whole length, hypocotyl length, and sprout yield were highly increased at 23°C compared to 20 and 25°C. Especially, PI269803 and PI343300 showed higher sprout yield than the others. In addition, the effect of the change of germination temperature on antioxidant properties was estimated by measuring total phenolic content (TPC) and free radical scavenging activity (DPPH and ABST activity). TPC and DPPH/ABST activities of PI269803 and PI343300 were higher at 23°C than at 20 and 25°C, while antioxidant properties of PI343278 and PI343283 were decreased in a temperaturedependent manner. The results show a high degree of correlation between TPC and antioxidant activities and suggest that the temperature change for pea sprouting could be responsible for antioxidant properties. Taken together, these results provide optimal cultivation conditions for pea sprouting and suggest that PI269803 and PI343300 with high sprout yield and antioxidant properties could be used for pea sprouts.

Soybean [Glycine max. (L.) Merr] is one of the most important legumes in the world. However, soybean varieties are sensitive to flooding stress and their seed yields are substantially reduced in response to the flooding stress. 192 soybean germplasm collection was screened to identify flooding tolerant germplasm at an early vegetative growth stage (V1). Soybean plants at V1 stage were waterlogged for 4 to 10 days. To evaluate flooding tolerance, survival rate were investigated as a time dependent manner. Jangbaegkong, Danbaegkong, Sowonkong, Socheong2 and Suwon269 showed flooding tolerance, while Shillog, T201, T181, NTS1116 and HP-963 showed flooding sensitivity. We also investigated effects of flooding stress on soybean morphology. The adventitious root development was greatly increased in flooding tolerant plants compared to it in flooding sensitive plants. In addition, root length and root number were analyzed. The significant reduction of root length and root number was observed in flooding sensitive plants. Thus, these results indicate that the morphological changes in roots are important for acclimation to flooding stress. Taken together, the relationship between the morphological changes in the roots and flooding tolerance may be useful in selecting a flooding tolerant soybean germplasm.

Soybean mosaic virus (SMV) is a prevalent pathogen that causes significant yield reduction in soybean production worldwide. SMV belongs to potyvirus and causes typical symptoms such as mild mosaic, mosaic and lethal necrosis. SMV is seed-borne and also transmitted by aphid. Eleven SMV strains, G1 to G7, G5H, G6H, G7H, and G7a were reported in soybean varieties in Korea. A reverse transcription loop-mediated isothermal amplification (RT-LAMP) method allowed one-step detection of gene amplification by simple procedure and needed only a simple incubator for isothermal template. This RT-LAMP method allowed direct detection of RNA from virus-infected plants without thermal cycling and gel electrophoresis. In this study, we designed RT-LAMP primers named SML-F3/B3/FIP/BIP from coat protein gene sequence of SMV. After the reaction of RT-LAMP, products were identified by electrophoresis and with the detective fluorescent dye, SYBR Green I. under daylight and UV light. Opmtimal reaction condition was at 58℃ for 60min and the primers of RT-LAMP showed the specificity for nine SMV strains tested in this study.

Generally, the virus was detected by the ELISA using the serological method and RT-PCR based on the genetic information. Recently, NGS (next-generation nucleotide sequencing) has been used in genome analysis and diseases diagnostics. To identify distribution aspects of viruses, we collected diseased samples twice in soybean breeding field. After extraction of total RNA from the collected bulk samples, RNA was sequenced by the NGS method. The NGS data were analyzed using the bioinformatics software. With newly produced NGS data, the identification of distribution aspects of organisms in field was estimated in this study. Sequence based identification method should be more accurate diagnostic tools of the target diseases and be able to predict occurrence of potential and new pathogens. NGS method will also provide the basic data by identifying the distribution of using bacteria. In this study, we analyzed the extracted RNA from the collection of approximately 3000 samples. Consequently, we confirmed the following types: the 7,089 kinds of bacteria including Burkholderiaceae, the 13,397 kinds of Eukaryota, the 952 kinds of viruses from the first bulk samples, the 4,160 kinds of bacteria including Burkholderiaceae, the 10,475 kinds of Eukaryota, and the 576 kinds of viruses from the second bulk samples