느타리버섯류(Pleurotus spp.) 우량 품종개발을 위하여 7 계통으로 계통간 교잡을 수행하였다. 5개 조합 30 hybrid의 DNA Profile을 분석한 결과 양친주의 중간형태를 나타냈다. 하지만 교잡주는 양친 중 한쪽 친과 보다 높은 유연관계를 나 타내었다. 교잡주의 유연관계를 분석해 보면, 사철2호 × 춘 추2호 조합의 경우에는 유연관계 64%~81%, 사철2호 × 수 한 조합의 경우에는 63%~87%로 교잡주는 사철2호와 더 높 은 유연관계를 나타냈다. 청풍 × 춘추2호 조합의 경우에는 두 모균주가 같은 계통임을 확인하였고 이들 8 hybrid는 양 친주와 74%~94%의 유연관계를 보였다. 청풍 × 원형 2호 조합은 85%~90%로 원형2호와, 청풍 × 05-834 조합의 경 우에는 83%~91%로 05-834와 더 높은 유연관계를 나타냈 다. 또한 본 실험에서는 병재배를 통해 단핵주간 교잡한 23 hybrid와 두 모균주의 수량, 초발이 소요일수, 자실체 형태 등의 특성을 조사하였다. 그 결과, 자실체 모양 및 색깔은 양 친주의 중간형태가 대부분이었다. 초발이 소요일수는 양친 주보다 약간 느린 경향을 나타냈고 수량은 양친주보다 높은 경향을 나타냈다. 이어서 이후 연구에서는 계통간 총 7계통 의 7조합 총 85 hybrid 의 RAPD-PCR을 통해 DNA Profile 을 분석하고 병재배를 통한 자실체 특성을 비교하고자 한다.

Organic semiconductors based on conjugated thiophene oligomer have great potential to be utilized as an active layer for electronic and optoelectronic devices. In this study, a conjugated oligomer such as α-sexithiophene (α-6T) thin films was prepared by the Organic Molecular Beam Deposition (OMBD), and various electrode materials were also deposited by a simple vacuum evaporation, respectively. Those films were photolithographically patterned for the electrical measurements. Electrical charact-erization of the thin film transistor with various channel length were executed and the field effect mobility of these thin film transistors were also calculated by the formula using the experimental data.

Background : Due to changes in climate and cultivation conditions, the growth monitoring is an essential factor in improving crop productivity. With the recent development of image analysis technology incorporating ICT, it has become possible to constantly monitor the crop growth. As a medicinal crop specialized in Gyeongsangbuk-do, Korea, Cnidium officinale Makino was examined for the possibility of growth diagnosis through image analysis for stable production. Methods and Results : The IP camera was installed at 2.5 m height in experiment field. The RGB image of every 06:00 was captured from July 1 to July 30 and used for analysis. The captured images were analyzed using the image analysis tool, Image J. The greeness was estimated by the average value of the green histogram. The canopy size was determined by the color range (red: 0-255, green: mean value-255, blue: 0-255) and was calculated as the ratio of pixels number of the entire image to those of the selected area. The growth temperature during investigation period was measured by Hobo MX2300. High temperature, excess of 28℃, was compared to stress response such as decrement of canopy size. The greeness and the canopy size are respectively represented by the quadratic function greeness = -0.0722GD2 + 6248.9GD – 1e + 08 (GD, growing day; R2 = 0.46) and canopy size = -0.0462GD2 + 3996.7GD – 9e + 07 (R2 = 0.93). From July 11, it began to exceed the growth limit temperature of 28℃, and the canopy size began to decrease from this period. Between the canopy size (C) and the accumulated temperature exceeding 28℃, there was a negative correlation, C = -0.13ATEC + 56.75 (R2 = 0.87) during the decreasing period. Conclusion : Extraction of color information in Cnidium officinale Makino using RGB image should be preceded by standardized setting, but it is considered to be useful tool for analyzing the change of quantitative characteristics over time. In the future, it is necessary to make a comparative study with the actual growth rate in the image diagnosis.

Background : It is necessary to develop a diagnostic tool for the precision agriculture according to the change of agriculture environment. In particular, medicinal crops are often cultivated in poor areas such as mountains and valleys, and are susceptible to abnormal climates. Therefore, there is a need for a method that can diagnose the growth easily and with time. We conducted a study to investigate the possibility of remote sensing for 10 species of medicinal crops using unmanned aerial vehicles and multispectral images. Methods and Results : This study was conducted in 0 - 4 times continuously cultivated field with 10 species of medicinal crops (Angelica gigas, A. koreana, A. tenuissiman, A. dahurica, A. acutiloba, A. polymorpha, Ledebouriella seseloides, Lithospermum erythrorhizon, Rhemannia glutinosa). Growth characteristics such as plant height, number of leaves, leaf length, leaf width, stem diamanter and number of stems were investigated between July 10 and July 16. The reflectance map of red (660 ㎚) and NIR (790 ㎚) was obtained using a UAV equipped with a multi-spectral sensor and NDVI [Normalized Difference Vegetation Index] was obtained with a Pix4D mapper. As the number of times of continuos cultivation increased, the growth and NDVI tend to decreased. 6 species of Angelica genus were positively correlated with growth characteristics such as plant height, leaf length, leaf width, and stem diameter and NDVI. Otherwise, there was no significant relationship between growth characteristics and NDVI in Ledebouriella seseloides, Lithospermum erythrorhizon, and Rhemannia glutinosa. This is because the difference in the growth according to time of continuos cultivation was not significant and the canopy structure tended to overlap with the upper and lower leaves. Conclusion : NDVI is widely used as a useful tool for evaluating the canopy productivity and is highly correlated with the above-ground growth characteristics of 6 species of Angelica spp. It is necessary to develop the growth index suitable for the each species and to enhance the validity of growth index by examining the correlation under various cultivation conditions.

The process that a new energy policy introduces and merges into the formal social system is an important but difficult journey for the transition to the low carbon society. Meanwhile, the government was obliged to allocate carbon emission reduction, the companies are called obligatory participants through emissions trading scheme were building an internal greenhouse gas reduction system to reduce Risk and to respond this new system. However, the internal response and reduction system of the Waste Field are easy to exposure to the ETS Risk because the local government employee is unaware of the ETS. Thus, it is necessary to establish a framework for rational decision making institutions through analyzing the existing system of greenhouse gas energy target management system. This study was predicted for the first phase emissions trading allowances based on excess or deficiency received through the 2015 quota allocation applications and explained the process proceeded in greenhouse gas energy target management system by the Jeju Special Self-case analysis of the waste sector, predicted potentially losses cost during the first phase in the emissions trading credits that are traded on the KRX market price. Furthermore, throughout the sensitivity analysis of major waste process parameter suggested the internal system to reduce greenhouse gas emissions directly as well as external policies by the direct participation of citizens through the local recycling center expansion. After all, this study suggested the need for the construction of internal and external system corresponding to these systemic risk.