• Korean Journal of Soil Science and Fertilizer
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• v.31 no.3
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• pp.277-284
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• 1998

The raw food waste of Korea contained markedly high sodium chloride and such high sodium chloride concentration in the soil is a factor limiting plant growth and impairing soil physicochemical properties. This study was carried out to assess the effect of NaCl-containing compost on the growth of lettuce(Lactuca satjva L.) and on the soil chemical properties. For the experiment, six treatments applying 0, 0.5, 1, 3, 6, and 9% NaCl-containing composts at the rate of $20Mg\;ha^{-1}$ were conducted established in a greenhouse. Growth measurements, chemical analysis of lettuce foliage, and soil chemical properties after the harvest were investigated. Lettuce yield in the treatments applied to composts over 3% NaCl was gradually reduced and mortality of lettuce as well as Na concent ration of lettuce foliage progressively increased with successively higher NaCl concentration of composts. With an increase of NaCl concentration of composts, the values of ESP and exchangeable sodium concentration in the surface soil were significantly increased. Especially, ESP of surface soil in the treatment incorporated with 9% NaCl-containing compost after the harvest attained by about 15, suggesting that sodification of surface soil under a greenhouse condition can occur when the compost over 9% NaCl is applied to soil. In conclusion, the application of over 3% NaCl-containing compost at the rates of $20Mg\;ha^{-1}$ can cause undesirable influences in plant growth and also the treatments of over 6% NaCl-containing composts can create conspicuous deteriorations in soil chemical properties in the current year.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.63 no.3
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• pp.239-247
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• 2018

Soybean produces three major types of isoflavones, daidzein, genistein, and glycitein aglycones and their glucosides and malonylglucosides. It has been known that malonylated glucosides are rapidly converted to their corresponding aglycones due to the unstable thermolabile glucoside malonates; therefore, the analytical study of malonylated glucosides has been insufficient. In this study, we analyzed the malonylglucoside content in soybean seeds. Isoflavone analysis of three soybean cultivars revealed that 81.5~90.0% of the total isoflavones were malonylglucosides, whereas aglycones were rarely detected. Moreover, the total isoflavone content increased during a 5-day germination period where growth regulators and coumaric acid treatments tended to yield higher isoflavone content than the normal germination treatment, however the differences were not significant; notably, the isoflavone accumulation trend continued with additional germination days. The content of malonylglucoside was higher than that of other isoflavones, which was 83.7~86.6% of the total isoflavone content in seeds with a 3-day germination period. Furthermore, isoflavones were significantly accumulated in the hypocotyl of seedlings with a 5-day germination period. The content of isoflavone in the hypocotyl of the Pungsannamul-kong was 10,240 ug/g when treated with coumaric acid, which was considerably higher than that of other cultivars and treatments. Additionally, soybean seeds heated at $60^{\circ}C$ for 1 hour produced higher isoflavone content than non-heated soybean seeds. Our results show that it is possible to increase the isoflavone content in soybean seeds through various treatments.

• Journal of The Korean Society of Grassland and Forage Science
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• v.6 no.3
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• pp.157-163
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• 1986

Synthesis and accumulation pattern of Weender components in orchardgrass (Dactylis glomerata L.) cv. Potomac and Baraula, perennial ryegrass (Lolium perenne L.) cv. Reveille and Semperweide and meadow fescue (Festuca pratensis Huds.) cv. Cosmos 11 and N.F.G. were studied under different growth environments and cutting managements. The field experiments were conducted as a split plot design with three cutting regimes of 6-7 cuts at grazing stage, 4-5 cuts at silage and 3 cuts at hay stage from 1975 to 1979 in Korea and West Germany. The results obtained are summarized as follows: 1. Air temperature, rainfalls and solar radiation were found to be an important meteorological factors influenced to synthesis and accumulation of Weender components. Under high temperature and strong solar radiation during summer season in Korea, accumulation of crude fiber and cell-wall constituents (NDF) in the plants, as average of all grass species and cutting regimes, were increased to about 30.1% and 48.7% from 27,9% and 42.9% in spring, respectively, while total nonstructural carbohydrates (TNC) were decreased to 1.52% in summer from 4.01% in spring. In West Germany, the concentration of Weeder components showed little seasonal variation. 2. Crude fiber and neutral detergent fiber (NDF) were shown higher concentration in orchardgrass than those of perennial ryegrass and meadow fescue, but N-free extractions and TNC as well as net energy value were less accumulated in orchardgrass. Orchardgrass contained lower net energy contents with 534 StE. 431 StE and 575 StE/kg for Suweon, Cheju and Freising, respectively, as compared with 624 StE (Suweon), 491 StE (Cheju) and 657 StE/kg (Freising) in meadow fescue.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.52 no.4
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• pp.380-386
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• 2007

This study was conducted to clarify the effective application method, uptake, and translocation of germanium(Ge) in mungbean plants. The foliar application of liquid Ge at 7 mg/l during the flowering period, seeds containing 38.7, $14.1{\mu}g/kg$ of Ge, from the first and second harvesting. It had 2.5 and 2.3 times more Ge than the seeds raised by using granule Ge at 7 mg/kg with basal fertilization. The foliar application of Ge at 3.5, 7, 14 and 28 mg/l during the flowering period, yielded a relatively high record of seeds containing $14.9{\sim}77.8{\mu}g/kg$ and $6.9{\sim}26.7{\mu}g/kg$ of Ge, from the first and second harvesting. However, seeds from the first harvesting contained $2.2{\sim}4.1$ times more Ge than the seeds of from the second harvesting. On the other hand, seeds from first and second harvesting of the non-treatment group Ge contained 1.9 and $3.2{\mu}g/kg$, respectively. When the foliar application of Ge at 7 mg/l was conducted two or three times, the Ge content of the seeds in the first to third harvesting were all over $20{\mu}g/kg$. This indicates that a certain level of Ge can be accumulated. In seeds of mungbean containing $96{\mu}g/kg$ of Ge, cotyledon had $138{\mu}g/kg$ of Ge, which was 79% more than seed coat per unit weight. The growth and quantity of mungbean was not significantly different according to the formulation of Ge, the concentration and the frequency of foliar application of Ge used for in study.

• Journal of Bio-Environment Control
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• v.9 no.3
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• pp.161-165
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• 2000

Spectroradiometric light transmittance from 300 to 1,100nm in the greenhouse covered with the CEM BIO polyethylene film was greater than that in the greenhouse covered with polyethylene film (control). As a whole, solar radiation transmittance into greenhouse was a half level, due to shades caused by double layer covering, frame and equipment. Net radiation energy emitted throughout surface of the greenhouse covered with CEM BIO polyethylene film was 5,424.5W.m$^{-2}$ , which was lower by 2.9% as compared to that of the greenhouse covered with polyethylene film. Photosynthetically active radiation from 400 to 700nm of the greenhouse covered with CEM BIO polyethylene film was 3,861.2W.m$^{-2}$ , which was higher by 3.8% as compared to hat of the greenhouse covered with polyethylene film. Accumulated minimum air temperature from Oct. 7, 1997 to Oct. 16, 1997 of the greenhouse covered with CEM BIO polyethylene film was 100.5$^{\circ}C$, which was higher by 2.5$^{\circ}C$ as compared to that of the greenhouse covered with polyethylene film. As results, height, stem diameter, leaf count, leaf area, fresh weight and dry weight of green pepper plants and canopy production structure measured at 30 days after transplanting were enhanced. Mean fruit weight n the greenhouse covered with CEM BIO polyethylene film was 11.28 g and 1.25 g greater as compared to that in the greenhouse covered with polyethylene film, due to increased fruit diameter and flesh thickness. Percent marketable fruits produced in the greenhouse covered with CEM BIO polyethylene film were 96.1%, and was greater by 2.7% thant that of the greenhouse covered with polyethylnee film due to decreased infection, sterility, severe curve and twisted fruits. The green pepper yield of the greenhouse covered with CEM BIO polyethylene film from Nov. 19, 1997 to Feb. 3, 1998 was greater by 974 kg per hectare than that of the greenhouse covered with polyethylene film, but the total fruit had no difference.

• Sijohaknonchong
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• v.23
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• pp.71-105
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• 2005

Toson-Shibigok(Twelve Songs of Toson) which T'oegye, Yi Hwang, composed has received a lot of attention in terms of its educational implications. These implications have become the essential part of Gojeon Sigas(classic songs and poems), and solid evidence has also been accumulated in the literature. Therefore, the purposes of this study are twofold, that is 1) to explore the impact of T'oegye's fundamental structure of the first education at that time and 2) describe how these educational attitudes will eventually yield meta- educational values. What T'oegye meant by fundamental structure of the first education was that Sijos originated from his own experience should be the vital part of teaching method. One can say that T'oegye's teaching method is more integrative than that of modern literature education in that it includes songs. Not only using his own teaching method, but T'oegye tried to demonstrate his own literary structure to his colleagues and the future generations. In the end, Meta-Education which comprises the heart of recent educational theories well reflects Toegye's theoretical propositions. Rather than giving practical knowledge, his method offers the paradigms of thought patterns and shows the learners' attitudes in approaching the truth. Moreover, T'oegye's teaching method has become a good example to the future generations as well as his contemporary followers. In sum, although a lot of years have passed since he died, T'oegye's Sijo works and life still have invaluable impact on the field of education.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.64 no.4
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• pp.422-431
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• 2019

Severe droughts in spring have occurred frequently in Korea in recent years, exerting a critical impact on corn yield. Therefore, it is necessary to find physiological and/or molecular indicators of the response to drought stress in maize plants. In this study, we investigated the effects of water-deficit stress on two Korean elite F₁ maize hybrids, Ilmichal and Gwangpyeongok, by withholding water for 10 days at tassel initiation. The water deficit drastically reduced the relative leaf water content, leaf number, leaf area, and stem length, leading to dry matter reduction. Moreover, it reduced the SPAD values and stomatal conductance of leaves in drought-stressed plants of both hybrids. Importantly, the number of leaves and SPAD value were non-destructive and easy to investigate in response to water-deficit stress, suggesting that they may be useful indicators for screening drought-tolerant genetic resources. We detected more than 100 spots that were differentially accumulated under drought stress. Of these spots, a total of 21 protein spots (≥1.5-fold) from drought-exposed maize leaves were successfully analyzed by MALDI-TOF-TOF mass spectrometry. Functional annotation using Gene Ontology analysis revealed that most of the identified proteins were involved in carbohydrate metabolism, stress response fatty acid catabolism, photosynthesis, energy metabolism, and transport. The protein expression levels were increased in both Ilmichal and Gwangpyeongok, except for triosephosphate isomerase, fructose-bisphosphate aldolase, and an uncharacterized protein. The lactoylglutathione lyase delta (3,5)-delta (2,4)-dienoyl-CoA isomerase was overexpressed in Gwangpyeongok only. The results obtained from this study suggest that the drought-specific genes may be useful as molecular markers for screening drought-tolerant maize genotypes.

• Korean Journal of Soil Science and Fertilizer
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• v.39 no.6
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• pp.372-379
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• 2006

This study was carried out to improve chemical properties of salt-accumulated plastic film house soil. Compressed expansion rice hull was applied at 0, 2.5, 5.0, $7.5Mg\;ha^{-1}$, and drip irrigation was initiated at -33 kilopascals (kPa) of soil water potential and ceased adjusted up to -10 kPa. Another treatment was the application of inflated rice hull at $5.0Mg\;ha^{-1}$ with drip irrigation starting at soil water potential -20 kPa and adjusted to -10 kPa. Lettuce(Lactuca sativa L.) was cultivated at sandy loam soil with $5.1dS\;m^{-1}$ of electrical conductivity (EC). $EC_w$(1:5) of plots treated with $5.0Mg\;ha^{-1}$ of inflated rice hull and irrigated at the point of -20 kPa and -33 kPa of soil water potential was reduced by 26% and 24% less than untreated control plot, respectively. Soil $EC_w$(1:5) has close relationship with $Cl^-$ as well as $NO_3{^-}-N$ and $SO{_4}^{2-}$ in the soil. Total nitrogen in leaf of lettuce was deficient in the earlier growth stage. The yield of lettuce increased by 6% by the application of inflated rice hull of $5.0Mg\;ha^{-1}$ with drip irrigation starting at -33 kPa of soil water potential. It decreased 4% when the drip irrigation was stated at -20 kPa of soil water potential. The amount of water used for irrigation was reduced with the increasing application of inflated rice hull. The watering initiated at the point of -33 kPa was more economical compared with starting at -20 kPa.

• Journal of the Korea Organic Resources Recycling Association
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• v.19 no.1
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• pp.123-130
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• 2011

Objectives of this study were to compare the environmental effects of digestates produced in bioenergy village on the rice paddy field for recycling. Digestates were applied to the soils and the soil properties and the crop responses were analyzed according to the standard methods of soil evaluation. Plant height and the number of tiller showed similar results in both the conventional and digestate treated field, and the yield of rough rice was higher in the field treated with digestates than that with chemical fertilizer. The amounts of nitrogen absorbed in straw and grain were larger in the digestates-treated field than chemical fertilizer-treated one, and efficiency of nitrogen applied was shown to be the highest in 100% treated digestate of the pig manure. Exchangeable cation and pH increased in the soil treated with digestate after harvesting, but salt was not accumulated. With these results, it was concluded that resource recycling in green town can be facilitated through the securement of arable lands for the application of digestates and the proper use of these fertilizers. Long-term effects of digestate application on the soil environment should be sustainingly studied.

• Journal of Intelligence and Information Systems
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• v.26 no.1
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• pp.135-149
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• 2020

Artificial intelligences are changing world. Financial market is also not an exception. Robo-Advisor is actively being developed, making up the weakness of traditional asset allocation methods and replacing the parts that are difficult for the traditional methods. It makes automated investment decisions with artificial intelligence algorithms and is used with various asset allocation models such as mean-variance model, Black-Litterman model and risk parity model. Risk parity model is a typical risk-based asset allocation model which is focused on the volatility of assets. It avoids investment risk structurally. So it has stability in the management of large size fund and it has been widely used in financial field. XGBoost model is a parallel tree-boosting method. It is an optimized gradient boosting model designed to be highly efficient and flexible. It not only makes billions of examples in limited memory environments but is also very fast to learn compared to traditional boosting methods. It is frequently used in various fields of data analysis and has a lot of advantages. So in this study, we propose a new asset allocation model that combines risk parity model and XGBoost machine learning model. This model uses XGBoost to predict the risk of assets and applies the predictive risk to the process of covariance estimation. There are estimated errors between the estimation period and the actual investment period because the optimized asset allocation model estimates the proportion of investments based on historical data. these estimated errors adversely affect the optimized portfolio performance. This study aims to improve the stability and portfolio performance of the model by predicting the volatility of the next investment period and reducing estimated errors of optimized asset allocation model. As a result, it narrows the gap between theory and practice and proposes a more advanced asset allocation model. In this study, we used the Korean stock market price data for a total of 17 years from 2003 to 2019 for the empirical test of the suggested model. The data sets are specifically composed of energy, finance, IT, industrial, material, telecommunication, utility, consumer, health care and staple sectors. We accumulated the value of prediction using moving-window method by 1,000 in-sample and 20 out-of-sample, so we produced a total of 154 rebalancing back-testing results. We analyzed portfolio performance in terms of cumulative rate of return and got a lot of sample data because of long period results. Comparing with traditional risk parity model, this experiment recorded improvements in both cumulative yield and reduction of estimated errors. The total cumulative return is 45.748%, about 5% higher than that of risk parity model and also the estimated errors are reduced in 9 out of 10 industry sectors. The reduction of estimated errors increases stability of the model and makes it easy to apply in practical investment. The results of the experiment showed improvement of portfolio performance by reducing the estimated errors of the optimized asset allocation model. Many financial models and asset allocation models are limited in practical investment because of the most fundamental question of whether the past characteristics of assets will continue into the future in the changing financial market. However, this study not only takes advantage of traditional asset allocation models, but also supplements the limitations of traditional methods and increases stability by predicting the risks of assets with the latest algorithm. There are various studies on parametric estimation methods to reduce the estimated errors in the portfolio optimization. We also suggested a new method to reduce estimated errors in optimized asset allocation model using machine learning. So this study is meaningful in that it proposes an advanced artificial intelligence asset allocation model for the fast-developing financial markets.