여행객 휴대 수입금지식물에서 발생하는 금지해충(과실파리류, 코드린 나방 등)의 유입 가능성이 높아짐에 따라 지속적인 모니터링을 통하여 품목별, 국가별로 검출되는 해충의 정보 축적이 필요하며, 검역해충 종 동정을 위하여 표본 확보 및 분류학적 정보가 필요하다. 2018년 1월부터 12월까지 인천공항 및 인천항으로 반입되어 압수한 휴대식물 중 사과, 배, 복숭아에서 검출되는 해충을 조사하였다. 그 결과 형태학적 동정 및 DNA 바코딩 분석을 통하여 Carposina sasakii (복숭아심식나방), Grapholta molesta (복숭아순나방), Grapholita dimorpha (복숭아순나방붙이) 등이 검출되었지만 우려하는 코드린나방은 검출되지 않았다. 본 연구결과는 휴대 반입식물에서 검출되는 해충 종 구성에 대한 검역자료로 활용될 수 있을 것으로 판단된다.

In southern Kyushu, aged beef cow farmers hold limited available land and poor machinery equipment, while demand for herbage production increases rapidly due to high cost of imported herbage supply. Dwarf variety of late-heading type (DL) napiergrass (Pennisetum purpureum Schumach) meets the situation for smallholder farmers, especially in remote islands. The objectives of this study were to investigate adaptability and sustainability of DL napiergrass among 12 sites in southern Kyushu, by determine yield, quality and overwintering ability. The results revealed t㏊t DL napiergrass should adapt to the examined sites including isolated islands at an established year and produce satisfactory yield and quality herbage, if additional fertilizer application covers more t㏊n 10g N m?² year?¹ after establishment.

Purpose: The container terminal is an area that plays an important role in the country's import and export. As the volume of containers increased worldwide, competition between terminals became fiercer, and increasing the productivity of terminals became more important. Re-handling is a serious obstacle that lowers the productivity of terminal. There are two ways to reduce re-handling in the terminal yard. The first method is to load containers in terminal yards using effective carry-in algorithms that reduce re-handling. The second method is to carry out effective remarshalling. In this paper, the performance of various carry-in algorithms and various remarshalling algorithms are reviewed. Next, we try to find the most effective combination of carry-in algorithm and remarshalling algorithm. Research design, data and methodology: In this paper, we analyze the performance of the four carry-in algorithms, AP, MDF, LVF, RP and the four remarshalling algorithms, ASI, ASI+, ASO, ASO+. And after making all the combinations of carry-in algorithms and remarshalling algorithms, we compare their performance to find the best combination. To that end, many experiments are conducted with eight types of 100 bays through simulation. Results: The results of experiments showed that AP was effective among the carry-in algorithms and ASO+ was effective among remarshalling algorithms. In the case of the LVF algorithm, the effect of carrying in was bad, but it was found to be effective in finding remarshalling solution. And we could see that ASI+ and ASO+, algorithms that carry out remarshalling even if they fail to find remarshalling solution, are also more effective than ASI and ASO. And among the combinations of carry-in algorithms and remarshalling algorithms, we could see that the combination of AP algorithm and ASO+ algorithm was the most effective combination. Conclusion: We compared the performance of the carry-in algorithms and the remarshalling algorithms and the performance of their combination. Since the performance of the container yard has a significant effect on the performance of the entire container terminal, it is believed that the results of this experiment will be effective in improving the performance of the container terminal when carrying-in or when remarshalling.