This experiment was conducted to find out optimum priming treatment conditions to the sesame seed as a preliminary study for enhancing sesame germination properties. Effective priming agents and concentrations for sesame seed were K3PO4 , 200 mM and PEG6000, -1.0 MPa respectively. Optimum priming temperature and duration were 15~circC , 4 days in view of germination speed and germination percentage. PEG6000 with -1.0 MPa was selected as an efficient priming treatment condition at 15~circC , 4 days. This study suggested that priming treatment to sesame seed would be an effective technique enhancing sesame seed germination and shortening time to the T50 at the field condition, but the efficiency of priming treatments to the sesame seed would be strongly dependent on individual or integrated conditions of priming agent, concentration, temperature and duration etc.

This study was conducted to evaluate the growth characters and yield components of 18 collected sesame cultivars to get basic information on the variation for the sesame breeding using principal component analysis. All characters except days to flowering, days to maturity and 1,000 seed weight showed significantly different. Seed weight per 10 are showed higher coefficient of variance. Capsule bearing stem length and liter weight showed positive correlation with seed yield per 10 are. The principal components analysis grouped the estimated sesame cultivars into four main components which accounted for 83.7% of the total variation at the eigenvalue and its contribution to total variation obtained from principal component analysis. The first principal component (Z1 ) was applicable to increase plant height, capsule bearing stem length and 1,000-seed weight. The second principal component (Z2 ) negatively correlated with days to flowering and maturity by which it was applicable to shorten flowering and maturity date of sesame. At the scatter diagram, Yangbaek, Ansan, M1, M2, M4, M7 and M9 were classified as same group, but M10, Yanghuk, Kanghuk, M5, M6, M12 and M13 were classified as different group. This results would be helpful for sesame breeder to understand genetic relationship of some agronomic characters and select promising cross lines for the development of new sesame variety.

This study was conducted to improve the quantity of fatty acid in peanut oil for quality breeding program. To determine fatty acids of oleic acid and linoleic acid in F2 generation, we used near infrared reflectance spectroscopy (NIRS) with high R2 values of 0.983 and 0.991 for oleic and linoleic acids, respectively. For this experiment, two combinations with 2 mother plant( cultivar Sangpyeong and Baekseon) and 1 father plant (YGC 2) were analysed. Each cultivar Sangpyeong, Baekseon, and YGC-2 in oleic and linoleic acid have 41.6%, 58.8%, 76.9% and 44.9%, 26.2%, 5.7% respectively. Distribution of fatty acid in combination Sangpyeon/YGC-2 in oleic acid showed 38.2% to 83.5%, and in linoleic acid showed 43.2% to 6.3%. The combination of Baekseon/YGC2-2 also showed 44.6% to 81.0% in oleic acid, and 40.1% to 6.8%. This result showed the values of fatty acid in F2 generation had more wide continuous variation, compared with parents values.

Application of genotype by environment (G~;~times~;E ) interaction would be used for identifying optimum test condition of the varietal adaptation in the establishment of breeding purpose. Yield and yield components were used to perform additive main effect and multiplicative interaction (AMMI) analysis. Significant difference for G~;~times~;E interaction were observed for all variable examined. For yield, 0.18 of total sum of squares corresponded to G~;~times~;E interaction. Correlation analysis was carried out between genotypic scores of the first interaction principal component axis (IPCA 1) for agronomic characters. Significant correlations were observed between IPCA 1 for yield and capsule bearing stem length (CBSL), number of capsule per plant (NOC). The biplot of grain yield means for IPCA1 which accounted for 34% of the variation in total treatment sums of squares showed different reaction according to G~;~times~;E interaction, genotypes and environments. Taegu showed relatively lower positive IPCA1 scores, and it also showed smaller coefficient variation of yield mean where it is recommendable as a optimal site for the sesame cultivar adaptation and evaluation trial. In case of variables, Yangbaek and M1 showed relatively lower IPCA1 scores, but the score direction showed opposite each other on the graph. Ansan, Miryang1, Miryang4, and Miryang6 seemed to be similar group in view of yield response against IPCA1 scores. These results will be helpful to select experimental site for sesame in Korea to minimize G~;~times~;E interaction for the selection of promising genotype with higher stability.