In order to select the forage cowpea of high dry matter and protein yield, growth characteristics and yield performance of forage cowpea were investigated. The results obtained are as follows: Arn0r.g the five varieties tested, lT820-889 and lT83S-852 wer

A field experiment was conducted in Chungju and Jungwon to evaluate growth characteristics, dry matter yield, protein yield and palatability of intercropping comparing with monocropping forage crops by the use of sorghum sudangrass hybrid(S.S.H.), five f

본 시험은 청예용으로 생산성이 우수한 대두를 선발할 목적으로 우리나라 전역에 재배되고 있는 종실용대두(각 도별 추천품종)10품종의 생육특성, 기호성 및 건물수량을 비교 검토한 것으로 시험은 3년간 (1989~1991) 건국대학교 자연과학대학 부속 사료포장에서 실시하였으며 그 결과를 요약하면 다음과 같다. 초장은 재배기간 70, 80일째는 장백이 90일째는 백장에서 실시하였으며 그 결과를 요약하면 다음과 같다. 초장은 재배기간 70, 80일째는 장백이 9

This experiment was carried out to determine the effect of nitrogen application level of cattle sluny(T1:150, T3:250, T53.50 kglha) and chemical fertilizer(T2:150, T4:250, T6:350 kg/ha) on the growth characteristics, dry matter yield and chemical soil pro

본 시험은 사초용으로 생산성이 우수한 수수수단그라스 잡종을 선발할 목적으로 도입 9품종의 생육특성과 생산성을 비교 검토하였다. 시험은 3년간(1989-1991)건국대학교 자연과학대학 부속 사료포장에서 실시하였으며 그 결과를 용약하면 다음과 같다. 1. 3년간 평균초장은 , Sordan79와 T.E. haygrazer가 다른 품종에 비해 길었으며, Super grazer는 173cm로 가장 짧게 나타났다(p<0.01). 1차예취시 생육단계에 있어서는 와

본 실험은 재식밀도와 재식양식이 Sorghum-Sudangrass hybrid(sordan 79)의 생육특성, 건물수량, 조단백질수량, 기호성 등에 미치는 영향을 알아보고자 실시하였으며 그 결과를 요약하면 다음과 같다.1. 재식밀도가 높아짐에 따라 초장, 엽장, 엽폭(P<0.05), 엽수는 대체적으로 감소하였고, 같은 재식밀도에 있어서는 직사각형구에서 증가하였다.2. 1차 예취시 엽비솔은 밀식구중 직사각형구(30kg/ha, 25cm×4cm)

본 실험은 예취높이와 질소시비수준이 sorghumsudangrass hybrid(Sordan 79)의 고사주, 신지발생(측지+분벽경), 고지의 건물비솔, 총건물수량 등에 미치는 영향을 규명하기 위하여 예취높이(5cm, 10cm, 15cm, 20cm)를 주구로 하고 질소시비수준(150kg,250kg,350kg/ha)을 구로 하여 1988년 5월부터 9월 까지 건국대학교 자연과학대학 사료포장에서 실시한 결과를 요 하면 다음과 같다. 1. 초장은 예취높이와

최근 지진 및 자연재해의 영향으로 인한 노후 건축물의 위험도가 높아지고 있으며, 이러한 시설물에 대한 정기적인 안전점검 및 유지관리의 필요성이 더욱 대두되고 있다. 특히나 소규모 노후시설물의 경우 정기적인 안전점검이 이루어지지 않는 경우가 많고, 내진성능평가가 이루어지지 않은 시설물도 많다. 본 연구에서는 준공 후 40년 이상 된 소규모 교육시설의 정밀안전점검 결과를 분석하여, 향후 유지관리 방안을 모색하고자 한다.

In this investigation, the reservoir stability was reviewed using hydrological and physical examination. The results of the review showed that, Both sites were analyzed to lack embankment height and sidewall height in the event of flooding, and it was considered that measures to increase stability should be established in the future by adding more dam cest and increasing side wall of a spill way. In addition, analysis and research will be necessary for other reservoir deteriorated in the future.

This study was conducted to investigate the antibacterial, antioxidant, and in vitro greenhouse gas mitigation activities of fermented Scutellaria baicalensis Georgi extract. Seven starter cultures were used, comprising four of lactic acid bacteria and three of Saccharomyces cerevisiae. Ten grams of S. baicalensis Georgi powder was diluted in 90 mL autoclaved MRS broth. Each seed culture was inoculated with 3-10% (v/v) S. baicalensis Georgi MRS broth and incubated at 30℃ for 48 h. Among the starter cultures used, only Lactobacillus plantarum EJ43 could withstand the fermentation conditions. This fermentation broth was dried and extracted with ethanol to assess its antibacterial, antioxidant, and in vitro methane mitigation activities. The extract of S. baicalensis Georgi fermented by L. plantarum EJ43 (SBLp) showed higher antibacterial activity (bigger clear zone) compared to the unfermented S. baicalensis Georgi extract (SB0). SBLp also presented 1.2 folds higher antioxidant activity than SB0. During in vitro rumen fermentation, SBLp showed reduction in methane production compared to SB0 or the control. In conclusion, fermentation by L. plantarum EJ43 may enhance antibacterial and antioxidant activities of S. baicalensis Georgi and decrease enteric methane production.

Antioxidant activity is important for reducing oxidative stress that causes various metabolic disorders. Metabolic disorders are highly related to loss of productivity in livestock. Therefore, development of effective antioxidant compounds originating from plants is important for organic agriculture. Phenolic compounds in edible plants are regarded as major components relevant to antioxidant activity. The present study investigated the changes in antioxidant activity and phenolic compound profiles of Aronia (Aronia meloncarpa) by fermentation using different strains of Leuconostoc mesenteroides. A total of 5 strains of L. mesenteroides were used as starter cultures and their β-glucosidase activities were measured. A total of 6 experiment runs were prepared, one for control (uninoculated) and the others (inoculated) for treatments. For biological activity, antioxidant and antibacterial activities were measured. For phenolic compound profiling, TLC and HPLC analysis were performed. The strains of KACC12313 and KACC12315 showed greater enzyme activity than others. Treatment with KCCM35046 showed strong and broad antibacterial activity against to Listeria monocytogenes. Treatments with KCCM35046 and KACC12315 showed the highest total polyphenol content. The highest antioxidant activity was found in KACC12315 treatment. No remarkable alteration was found in thin layer chromatography (TLC) analysis. In phenolic compound profiling analysis, KCCM35046 showed notable alteration in compound area ratio compared to others and also showed the highest caffeic acid content. In chlorogenic acid, treatments with KCCM35046 and KACC12315 showed great content than others. Treatment with KACC12315 showed the greatest content of trans-ferulic acid. As a result of relative performance indexing analysis, L. mesenteroides KCCM35046 and KACC12315 were selected as the best strain for the fermentation of Aronia.

In the high precision robot systems, the most popular tasks may be handling of micro-scale objects on a surface such as a micromanipulation robot system. In handling of micro-scale objects, the stiction effect becomes a fundamental issue since the micro-contact mechanics dominates the micromanipulation robot system. In the paper, a theoretical non-stick condition derived from the micro-contact mechanics is carried out for the propose of micro-scale object manipulation. To verify the non-stick condition, a micro-manipulation robot system equipped with a high precision stage system and a microscope system is developed. Experimental results show that the proposed non-stick condition guarantees successful micro-scale object manipulation.

We propose a navigation algorithm using image-based visual servoing utilizing a fixed camera. We define the mobile robot navigation problem as an unconstrained optimization problem to minimize the image error between the goal position and the position of a mobile robot. The residual function which is the image error between the position of a mobile robot and the goal position is generally large for this navigation problem. So, this navigation problem can be considered as the nonlinear least squares problem for the large residual case. For large residual, we propose a method to find the second-order term using the secant approximation method. The performance was evaluated using the simulation.

In this study, a model was developed to analyze the capacity and the total price of the agricultural products marketing between nations through the estimation of the production and consumption amount of the agricultural products in each nation and the analysis of the price and transport cost to each nation. The method which can contribute to the agricultural policy decision support was devised. The main concept of the method is to compute the potential import-export amount and total cost among the nations. In the application, wheat was selected to evaluate the model. The application results showed that the model could analyzed the unit consumption and storage amount per capital of each nation and the price and transport cost per unit weight from each export nation, provided the policy decision maker with the basic data analyzed by GIS.

South Korean self support rate for the grain product is less than 25oyo, and depends on the imported product for the national food supply. Therefore, there is imminent need for development of agricultural decision support system using GIS which provides various useful informations for a more accurate agricultural policy making. Agricultural decision making processes are complex due to complicated current international political situations, and the erratic weather condition like that Elnino, flood and drought etc. Hence, global scale GIS and analytical applications has implemented for solving the agricultural problems above mentioned in this study. As the results, the executable decision process with GIS developed well adopted for the rice cultivable area estimation in the world.