To increase the selection efficiency for new cultivars in cut roses during breeding programs, phenotypes of seedlings in two cross combinations, C1 (Rosa hybrida ‘Yellow King’ x ‘Aladin’) and C2 (R. hybrida ‘Evelien’ x ‘Sunny Isle’), were investigated. Although most seedlings showed classic-type flower shapes, some (0.4% - 0.7%) had tomato-shaped flowers, especially at the young plant stage (6 months old). The variation in petal color was high, and pink and pink-mixed flowers were dominant, accounting for 72% in C1 and 76% in C2 at the mature plant stage (13-month-old plants). However, the seedlings had changes in the expression of petal color at different growth stages. The number of petals at the young plant stage had a strong positive correlation with those at the mature plant stage in C1 (r = 0.84***) and C2 (r = 0.73***). Sizes of flowers and petals increased with the growth of the seedlings, and their traits at the young plant stage had positive correlations with those at the mature plant stage in both C1 (r = 0.32***) and C2 (r = 0.39***). Prickle expression on stems was mostly in level 5 at the young plant stage and then dispersed to various classes at the mature plant stage, which increased the variation and coefficient of variation. To select seedlings for new cultivars through breeding processes, breeders should consider the growth stage for targeted traits.

절화장미 삽목묘 대량생산 효율을 높이기 위해 국내 육성 절화장미 ‘엔틱컬’(Rosa hybrida ‘Antique Curl’)을 대상으로 생장 활력이 높은 단경삽목묘 주요 절위를 분석하였다. 화경으로부터 순서대로 5매엽 이상을 가진 마디 6개를 삽목(6 절위, Level 1~6)하여 온실과 생장환경조절실에서 각각 30일간 관리 하였다. 그 결과, 삽목 절위가 기부 쪽으로 내려갈수록 발근율과 액아 생장이 억제되었고, 삽수 잎의 황화 및 낙엽 현상이 조기에 나타났다. 잎의 탄수화물 함량은 발근과 신초발아율에 영향을 주지 않았다. 온실환경에서 1~3 절위, 생장환경조절실 에서 1~2 절위의 생장이 가장 우수하였고, 모두 4절위까지는 정상적인 생장을 보였다. 결과적으로 상업용 장미 시설 생산에서 대량삽목번식을 할 때 화경으로부터 5매엽을 가진 네번 째 마디(level 4)까지 가능할 것으로 확인되었다.

Feral cats are widely considered to be leading the potential impacts on public health. This study aimed to provide estimates of vital data for feral cats relating Trap-Neuter-Return (TNR) to establish strategies effectively to manage feral cats in Pyeongtaek. Thus, this study focused on estimating feral cat population in Pyeongtaek and conducted a comparative analysis of the data for feral cats in Seoul (2013). The number of feral cats was estimated from 23,069 to 26,655 in Pyeongtaek, 2019. In relation to human population, when comparing the number of feral cats of Pyeongtaek and Seoul, it ranged from 4.57% to 5.28%, and from 1.97% to 2.55% respectively. This showed that Pyeongtaek was higher than Seoul. Fewer kittens were found in high-density areas, which the TNR project is believed to be generally effective in controlling the number of feral cats. In conclusion, in urban and rural complexes such as Pyeongtaek City, the number of feral cats compared to the population was higher than that of Seoul City, and the TNR program is believed to be somewhat effective in controlling the number of feral cats. When implementing TNR, it is necessary periodically to investigate the population and reflect them in policymaking.

Recently, a study of prognosis and health management (PHM) was conducted to diagnose failure and predict the life of air craft engine parts using sensor data. PHM is a framework that provides individualized solutions for managing system health. This study predicted the remaining useful life (RUL) of aeroengine using degradation data collected by sensors provided by the IEEE 2008 PHM Conference Challenge. There are 218 engine sensor data that has initial wear and production deviations. It was difficult to determine the characteristics of the engine parts since the system and domain-specific information was not provided. Each engine has a different cycle, making it difficult to use time series models. Therefore, this analysis was performed using machine learning algorithms rather than statistical time series models. The machine learning algorithms used were a random forest, gradient boost tree analysis and XG boost. A sliding window was applied to develop RUL predictions. We compared model performance before and after applying the sliding window, and proposed a data preprocessing method to develop RUL predictions. The model was evaluated by R-square scores and root mean squares error (RMSE). It was shown that the XG boost model of the random split method using the sliding window preprocessing approach has the best predictive performance.

For the purpose of promoting the consumption of rice powder, 5 cultivars were applied differently to establish the optimal manufacturing conditions and measured Hunter color values, hardness and expansion rate of Yakgwa for the optimal conditions. Looking into the optimal manufacturing conditions of Yakgwa, the commercial flour-facilitating Yakgwa is shown to have a great shape when the mold is made with a thick paste for C-2 manufacturing method, Hangaru 100 mesh for H100-2 manufacturing method, Hangaru 200 mesh for H200-2 manufacturing method, Shingil 100 mesh for S100-2 manufacturing method, and Shingil 200 mesh for S200-1 manufacturing method. It also showed a trend of chewy taste after frying without cracks. Hunter color values (L) and red chromaticity and value b of yellow chromaticity indicated a lower value for the commercial flour and Hangaru 200 mesh in its entirety. The hardness of Yakgwa is within the range of 1,981.41~3,756.45 g and the degree of hardness is shown differently for each rice powder exclusive cultivars. Rice flour developed as rice powder 5 cultivars, and as a result of measuring chromaticity, hardness and expansion rate of Yakgwa for the quality characteristics, the item of hangaru 200 mesh had outstanding quality characteristics for Yakgwa.

과일이나 농작물의 부패 및 발효 환경에서는 Methanol, Ethanol, Acetic acid을 비롯한 다양한 화학물질들이 생산된다. Drosophila melanogaster는 이러한 발효·부패 환경에 서식하면서 일정 농도 이상의 다양한 화학물질에 지속적으로 노출되어 생존하도록 적응되어온 것으로 생각된다. 다양한 화학물질이 포함한 환경에 안정적으로 서식하기 위해서는 D. melanogaster는 화학물질에 능동적으로 반응하여 해독 유전자나 대사 관련 유전자의 발현량을 변화 시킴으로써 발효·부패 환경에서 생성되는 화학물질에 대한 높은 내성을 가지고 있을 것으로 판단된다. 현재까지 유전자의 발현량 측정을 위해 real-time PCR를 이용하여 reference gene의 발현량을 기준으로 정량화하는 방법이 가장 널리 사용되고 있다. 그러나 조직별, 환경별, 발달단계를 비롯한 다양한 조건에서 안정적으로 발현되는 reference 유전자 선정이 필수적으로 선행되어야 하므로 본 연구에서는 발효·부패 환경에서 생산되는 두 화학물질인 Methanol과 Ethyl Acetate에 노출된 D. melanogaster에서 안정적으로 발현되는 reference gene을 찾는 연구를 실시하였다. 본 연구에서는 다양한 농도의 Methanol과 Ethyl Acetate을 D. melanogaster에 노출시킨 후 RNA 추출과 cDNA 합성을 실시였고, 5가지 후보 reference gene (hsp22, nd, rpL18, tbp and ef-1b)의 안정적 발현 여부를 qRT-PCR을 통해 조사하였으며, 유전자 발현의 안정성을 측정하는 3가지 프로그램(geNorm, NormFinder, BestKeeper)을 이용해 비교·분석하였다. 본 학회에서는 연구의 과정과 그 결과를 발표하고자 한다.