• Korean Journal of Fisheries and Aquatic Sciences
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• v.34 no.2
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• pp.156-159
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• 2001

The experiment was carried out to investigate the productivity of freshwater rotifer, Brachionus calyciflorus and marine rotifer, B. rotundiformis at various temperatures, initial inoculation and pH in a 5 L semi-continuous high density culture. Rotifers were fed by commercial condensed freshwater Chlorella. When pH was not controlled, average daily productions of freshwater and marine rotifers increased with temperature. The highest production, $44\times10^6$ rotifers, was achieved of B. calyciflorus at $32^{\circ}C$ and the possible production lasting period of B. calyciflorus was shorter than that of B. rotundiformis. Under the adjustment of pH at 7, the possible production lasting periods of B. calyciflorus and B. rotundiformis inoculated with 5,000 inds./mL were longer than those of rotifers inoculated with 10,000 inds./mL, and the daily production rate of the former was higher than that of the latter. The results from this study indicated that optimum density of the initial inoculation for the cultivation of B. calyciflorus and B. rotundiformis was 5,000 inds,/mL under the controlled conditions of pH 7 and at $32^{\circ}C$ in a semi-continuous high density culture, in terms of production rate and food cost aspects.

• KSBB Journal
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• v.15 no.1
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• pp.14-21
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• 2000

In this study, algae cultivation using the photobioreactor has been applied to remove the nitrogen and phosphorus compounds in the wastewater of the livestock industry. The optimal ratio of nitrate and ortho-phosphate concentration was found for the enhancement of removal efficiency. To achieve the high density culture of algae, the photobioreactor consisted of optical fibers wes developed to get the sufficient light intensity. The light could be illuminated uniformly from light source to the entire reactor by the optical fibers. The structured kinetic model was proposed to describe the growth rate, consumption rate of nitrates and ortho-phosphates in algae culture. The self-organizing fuzzy logic controller incorporated with genetic algorithm was constructed to control the semi-continuous wastewater treatment system. The proposed fuzzy logic controller was applied to maintain the nitrated concentration at the given set-point with the control of wastewater feeding rate. The experimental results showed that the self-organizing fuzzy logic controller could keep the nitrate concentration and enhance algae growth.

• Horticultural Science & Technology
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• v.35 no.3
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• pp.381-386
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• 2017

'Jangha' is a new strawberry (Fragaria ${\times}$ ananassa Duch.) cultivar, which was released by the Highland Agriculture Research Institute in 2014. The 'Jangha' cultivar originated in 2008 from a cross between 'Goha' and 'Elsinore' that showed excellent ever-bearing characteristics, including continuous flowering habit and high soluble-solids contents under long-day and high temperature conditions. This cultivar was initially named 'Saebong No. 6' after examining its characteristics and productivity in summer culture from 2010 to 2012. After two regional adaptability tests in 2013-2014, 'Jangha' was selected from Saebong No. 6 as an elite cultivar. The general characteristics of 'Jangha' include semi-spreading type, elliptical leaves, and moderately vigorous growth. The fruit are conical in shape, and red in color. 'Jangha' plants have 21.4 leaves, 55.8 fewer than 'Flamenco' plants. The soluble-solids content of 'Jangha' was 8.9%, which was 1.2% higher than that of 'Flamenco'. The average fruit weight of 'Jangha' was about 11.7g and the marketable yield was $19,013kg{\cdot}ha^{-1}$, 141% higher than 'Flamenco'. 'Jangha' is suitable for summer season cultivation as a high soluble solids contents cultivar, because it shows continuous flowering habit under long-day and high temperature conditions.

• Horticultural Science & Technology
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• v.32 no.5
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• pp.739-743
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• 2014

This work characterizes 'Yeolha', a new strawberry (Fragaria ${\times}$ ananassa Duch.) cultivar that was released by the Highland Agriculture Research Center, RDA, in 2013. This cultivar originated from a 2008 cross between 'Goha' and 'Elsinyo' and showed excellent ever-bearing characteristics including continuous a flowering habit under long-day and high temperature conditions. It was originally named 'Saebong No. 5' after examining its characteristics and productivity in summer culture from 2010 to 2013. After two regional adaptability tests in 2012, it was selected as an elite cultivar and renamed 'Yeolha'. The general characteristics of 'Yeolha' include a semi-spreading plant type, elliptic leaves, and strong vigor in growth. Its fruit is conical and red. T he s oluble s olids content of 'Yeolha' is 8 .6%, w hich is 0.6% h ig her than t hat of 'Flamenco', b ut f ruit hardness is lower than that of 'Flamenco'. The average fruit weight of 'Yeolha' is about 12.1 g and the marketable yield is $28,133kg{\cdot}ha^{-1}$, which is 117% higher than that of 'Flamenco'. 'Yeolha' is resistant against Fusarium wilt. In addition, 'Yeolha' is suitable for four-season cultivation as a high harvesting cultivar because it shows continuous flowering under long-day and high temperature conditions.

• Korean Journal of Soil Science and Fertilizer
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• v.28 no.4
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• pp.319-326
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• 1995

This study was conducted to find out the effect of natural zeolite addition on the purification of livestock farming wastewater and the application of zeolite used for purification of livestock farming wastewater on growth of sudangrass. In a semi-continuous process it was found that COD, $NH_4-N$, $NO_3-N$ and T-N contents in the effluent solution decreased with the treatment of natural zeolite. The zeolite addition was effective on the purification of livestock farming wastewater. By the results of application for sudangrass cultivation, the accumulative N-uptake contents by sudangrass were lower than that of control(35kg/10a) at early growth stage, but were higher at the late growth stage.

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.260-260
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• 2011

SWAT is semi-distributed and continuous-time distributed simulation watershed model, which can simulate point and nonpoint source pollutants as well as hydrology and water quality. It was developed to predict the effects of alternative management decisions on water, sediment, and chemical yields with reasonable accuracy. It is able to predict and manage hydrology, sediments, nutrients, and pesticides with Best Management Practices (BMPs) in a watershed. SWAT model also has potential for use in ungauged basins to predict streamflow and baseflow from saturated source area in watersheds. According to various cultivation practices and climate change, SWAT model is available to analyze relative change in hydrology and water quality. In order to establish optimum management of water quality, both monitering and modeling have been conducted actively using SWAT model. As SWAT model is computer program to simulate a lot of natural phenomena, it has limitation to predict and reflect them with on hundred percent accuracy. Thus, it is possible to analyze the effect of BMPs in the watershed where users want to simulate hydrology and water quality only if model accuracy and applicability are assessed first of all and the result of it is well for the study watershed. For assessment of SWAT applicability, most researchers have used $R^2$ and Nash and Sutcliffe Efficiency (NSE). $R^2$ and NSE are likely to show different results according to a warm up period and sometimes its results are very different. There have been hardly any studies of whether warm up period can affect simulation results in SWAT model. In this study, how warm up period has a effect on SWAT results was analyzed and a appropriate warm up period was suggested. Lots of SWAT results were compared after using measured data of Soyanggang-dam watershed and applying various warm up period (0 ~ 10 year(s)). As a result of this study, when there was no warm up period, $R^2$ and NSE were 0.645, 0.602 respectively, when warm up period was 2 years, $R^2$ and NSE were 0.648, 0.632, and when warm up period was 4 years, $R^2$ and NSE were 0.663, 0.652 separately. Through this study, sensitive analysis of warm up period in SWAT model was conducted, and this study could give a guideline able to simulate hydrology and water quality for more accuracy than before as users change a lot of warm up periods as well as any simulation parameters.