• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.17 no.4
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• pp.292-302
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• 2012

This paper reviews comparison analysis of current and latest application for stock identification methods of Todarodes pacificus, and the pros and cons of each method and consideration of how to compensate for each other. Todarodes pacificus which migrates wide areas in western North Pacific is important fishery resource ecologically and commercially. Todarodes pacificus is also considered as 'biological indicator' of ocean environmental changes. And changes in its short and long term catch and distribution area occur along with environmental changes. For example, while the catch of pollack, a cold water fish, has dramatically decreased until today after the climate regime shift in 1987/1988, the catch of Todarodes pacificus has been dramatically increased. Regarding the decrease in pollack catch, overfishing and climate changes were considered as the main causes, but there has been no definite reason until today. One of the reasons why there is no definite answer is related with no proper analysis about ecological and environmental aspects based on stock identification. Subpopulation is a group sharing the same gene pool through sexual reproduction process within limited boundaries having similar ecological characteristics. Each individual with same stock might be affected by different environment in temporal and spatial during the process of spawning, recruitment and then reproduction. Thereby, accurate stock analysis about the species can play an efficient alternative to comply with effective resource management and rapid changes. Four main stock analysis were applied to Todarodes pacificus: Morphologic Method, Ecological Method, Tagging Method, Genetic Method. Ecological method is studies for analysis of differences in spawning grounds by analysing the individual ecological change, distribution, migration status, parasitic state of parasite, kinds of parasite and parasite infection rate etc. Currently the method has been studying lively can identify the group in the similar environment. However It is difficult to know to identify the same genetic group in each other. Tagging Method is direct method. It can analyse cohort's migration, distribution and location of spawning, but it is very difficult to recapture tagged squids and hard to tag juveniles. Genetic method, which is for useful fishery resource stock analysis has provided the basic information regarding resource management study. Genetic method for stock analysis is determined according to markers' sensitivity and need to select high multiform of genetic markers. For stock identification, isozyme multiform has been used for genetic markers. Recently there is increase in use of makers with high range variability among DNA sequencing like mitochondria, microsatellite. Even the current morphologic method, tagging method and ecological method played important rolls through finding Todarodes pacificus' life cycle, migration route and changes in spawning grounds, it is still difficult to analyze the stock of Todarodes pacificus as those are distributed in difference seas. Lately, by taking advantages of each stock analysis method, more complicated method is being applied. If based on such analysis and genetic method for improvement are played, there will be much advance in management system for the resource fluctuation of Todarodes pacificus.

• Journal of the Korean Society of Food Science and Nutrition
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• v.33 no.8
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• pp.1286-1293
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• 2004

This study was conducted to investigate the biological activity and hepatoprotective effect of various fractions and isolated compounds from Kochiae fructus (KF) extract on D-galactosamine (GaIN)-intoxicated rats. Male Sprague-Dawley rats were divided into control, GaIN treated group (GaIN), GaIN plus KF methanol extract treated group (KFM 200-GaIN), GaIN plus KF butanol extract treated group (KFB 200-GaIN), GaIN plus momordin Ic treated group (Momordin Ic 30-GaIN) and GaIN plus oleanolic acid treated group (Oleanolic acid 30-GaIN). KFM (200 mg/kg BW), KFB (200 mg/kg BW), momordin Ic (30 mg/kg BW) and oleanolic acid (30 mg/kg BW) were orally administered once a day for 14 days. GaIN (400 mg/kg BW) was injected at 30 minutes after the final administration of the compounds. The activities of serum aspartate aminotransferase and alanine aminotransferase were increased in the GaIN group compared to the control group and significantly lower in the KFB 200-GaIN, momordin Ic 30-GaIN and oleanolic acid 30-GaIN group than in the GaIN group. Hepatic lipid peroxide level was increased in the GaIN group compared to the control group and was lower in the KFM 200-GaIN, KFB 200-GaIN, momordin Ic 30-GaIN and oleanolic acid 30-GaIN group than in the GaIN group. Activities of xanthine oxidase and aldehyde oxidase in liver were higher in the GaIN group than in the control group and were significantly decreased in the KFB 200-GaIN, momordin Ic 30-GaIN and oleanolic acid 30-GaIN group compared to the GaIN group. Hepatic glutathione, ${\gamma}$-glutamylcysteine synthetase and catalase activities were decreased in the GaIN group compared to the control group and were higher in the KFB 200-GaIN, momordin Ic 30-GaIN and oleanolic acid 30-GaIN group than in the GaIN group. Activities of hepatic glutathione reductase, glutathione S-transferase, superoxide dismutase and glutathione peroxidase were lower in the GaIN group than in the control group and were improved in the KFM 200-GaIN, KFB 200-GaIN, momordin Ic 30-GaIN and oleanolic acid 30-GaIN group compared to the GaIN group. Therefore, the current results indicate that momordin Ic administration alleviated the GaIN-induced adverse effect through enhancing the antioxidant enzyme activities.

• Korean Journal of Agricultural and Forest Meteorology
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• v.8 no.1
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• pp.1-9
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• 2006

Regardless of the recent observed warmer winters in Korea, more freeze injuries and associated economic losses are reported in fruit industry than ever before. Existing freeze-frost forecasting systems employ only daily minimum temperature for judging the potential damage on dormant flowering buds but cannot accommodate potential biological responses such as short-term acclimation of plants to severe weather episodes as well as annual variation in climate. We introduce 'dormancy depth', in addition to daily minimum temperature, as a complementary criterion for judging the potential damage of freezing temperatures on dormant flowering buds of grape vines. Dormancy depth can be estimated by a phonology model driven by daily maximum and minimum temperature and is expected to make a reasonable proxy for physiological tolerance of buds to low temperature. Dormancy depth at a selected site was estimated for a climatological normal year by this model, and we found a close similarity in time course change pattern between the estimated dormancy depth and the known cold tolerance of fruit trees. Inter-annual and spatial variation in dormancy depth were identified by this method, showing the feasibility of using dormancy depth as a proxy indicator for tolerance to low temperature during the winter season. The model was applied to 10 vineyards which were recently damaged by a cold spell, and a temperature-dormancy depth-freeze injury relationship was formulated into an exponential-saturation model which can be used for judging freeze risk under a given set of temperature and dormancy depth. Based on this model and the expected lowest temperature with a 10-year recurrence interval, a freeze risk probability map was produced for Hwaseong County, Korea. The results seemed to explain why the vineyards in the warmer part of Hwaseong County have been hit by more freeBe damage than those in the cooler part of the county. A dormancy depth-minimum temperature dual engine freeze warning system was designed for vineyards in major production counties in Korea by combining the site-specific dormancy depth and minimum temperature forecasts with the freeze risk model. In this system, daily accumulation of thermal time since last fall leads to the dormancy state (depth) for today. The regional minimum temperature forecast for tomorrow by the Korea Meteorological Administration is converted to the site specific forecast at a 30m resolution. These data are input to the freeze risk model and the percent damage probability is calculated for each grid cell and mapped for the entire county. Similar approaches may be used to develop freeze warning systems for other deciduous fruit trees.