• Journal of Ginseng Research
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• 제36권3호
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• pp.322-326
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• 2012

Results of karyological study of intact plants and some callus lines of Panax ginseng are presented. In the native plants of P. ginseng the nucleus with 1 nucleolus (90%) dominate, and nucleus with 2 nucleoli is rare. One nucleolar nucleus also dominate in interphase nuclei of cells of cultivated P. ginseng (from 2006), but we also found nucleus with 2 to 3 nucleoli in the same cell lines. Interphase nuclei of P. ginseng in long cultivated lines (from 1988) contain 1 to 9 nucleoli, with a predominance of nuclei containing from 3 to 4 nucleoli. It was shown that long-time cells (cultivated since 1988) had cytogenetic changes such as increase level of polyploid and aneuploid cells, increase of nucleoli number into interphase nucleus and decrease of nuclei/nucleoli ratio. These long-time cultivated cells had very low ginsenoside content.

• Journal of Biosystems Engineering
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• 제31권6호
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• pp.463-473
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• 2006

Automated sensing of soil macronutrients would allow more efficient mapping of soil nutrient spatial variability for variable-rate nutrient management. The capabilities of ion-selective electrodes for sensing macronutrients in soil extracts can be affected by the presence of other ions in the soil itself as well as by high concentrations of ions in soil extractants. Adoption of automated, on-the-go sensing of soil nutrients would be enhanced if a single extracting solution could be used for the concurrent extraction of multiple soil macronutrients. This paper reports on the ability of the Kelowna extractant to extract macronutrients (N, P, and K) from US Corn Belt soils and whether previously developed PVC-based nitrate and potassium ion-selective electrodes could determine the nitrate and potassium concentrations in soil extracts obtained using the Kelowna extractant. The extraction efficiencies of nitrate-N and phosphorus obtained with the Kelowna solution for seven US Corn Belt soils were comparable to those obtained with IM KCI and Mehlich III solutions when measured with automated ion and ICP analyzers, respectively. However, the potassium levels extracted with the Kelowna extractant were, on average, 42% less than those obtained with the Mehlich III solution. Nevertheless, it was expected that Kelowna could extract proportional amounts of potassium ion due to a strong linear relationship ($r^2$ = 0.96). Use of the PVC-based nitrate and potassium ion-selective electrodes proved to be feasible in measuring nitrate-N and potassium ions in Kelowna - soil extracts with almost 1 : 1 relationships and high coefficients of determination ($r^2$ > 0.9) between the levels of nitrate-N and potassium obtained with the ion-selective electrodes and standard analytical instruments.

• 한국토양비료학회지
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• 제43권6호
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• pp.804-811
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• 2010

경사지 논토양에서 밭작물 재배확대를 위한 합리적인 배수개선 방법을 개발하기 위하여 "배수불량"인 경사지 논토양 (경사 7-15%, 지산통)을 대상으로 배수조건에 따라 "매우불량"인 논 2개 필지, "약간불량"인 논 2개 필지의 논둑아래 기저부에 1열로 명거 (겉도랑 배수), 비닐차단막, 암거 (속도랑 배수), 관다발 등 네 가지 종류의 배수시설을 설치하여 공간상의 위치에 대한 상관관계를 분석하는 지구통계적 방법 (Geostatistical methods)를 이용하여 저비용의 실용적 배수방법을 개발하기 위해 배수개선 방법에 따른 배수개선 효과를 비교 분석하여 다음과 같은 결론을 얻었다. TDR 이용하여 측정한 배수방법별 토양수분함량의 기술통계량을 분석한 결과 배수개선 방법별 평균수분함량은 명거배수 (36.17 mm), 비닐차단막 (32.87 mm), 관다발 (28.71 mm), 암거배수 (23.21 mm) 순으로 낮은 경향을 보였으며, 또한 암거배수 처리구에서의 변이계수가 13.0%로 명거배수 (23.4%), 비닐차단막 (22.2%), 관다발 (15.1%)에 비해 포장 내에서 수분함량이 균일한 것으로 나타났다. 토양수분함량의 이론적 반베리오그램을 분석한 결과 배수등급별 문턱값 (sill)은 배수가 약간불량지에 비해 매우 불량지에서 배수개선 방법별 차이가 뚜렷하였으며, 특히 배수 매우불량지의 암거배수 처리구에서 문턱값은 9.7로 명거배수 (86.2), 비닐차단막 (66.8), 관다발 (15.7)에 비해 낮아 변이가 적고 균일성이 높아 암거배수에 의한 배수개선 효과가 큰 것으로 나타났다. 따라서 "배수불량"인 경사지 논에서는 논둑 밑 1열의 암거배수시설을 설치로 논에서 밭작물의 안정적인 생산과 농지자원의 이용전환 즉 논을 밭으로 이용해야 하는 범용농지 기반조성에 조성을 위한 저비용의 실용적인 배수개선 방법개발에 기여할 것으로 본다.

• 한국토양비료학회지
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• 제35권4호
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• pp.207-215
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• 2002

미사질 양토인 간척지 토양에서 간척 후 토양 관리에 따른 토양의 염류도와 수리전도도 및 관입 저항의 변화를 조사하였다. 조사 대상지는 1986에 방조제가 완료되고 1994년부터 개간되어 밭으로 이용된 후 1999년 이후 식생을 방치하여 온 대호 간척지의 시험 포장이다. 염류도는 포화 침출액법에 의한 전기전도도 ECe 측정, 수리전도도는 sand fill inversed augger hole법, 토양경도는 dynamic penetrometer법을 이용하여 조사하였다. 1994년 ECe값이 평균 $33.7dS\;m^{-1}$로 범위는 $25.5-44.8dS\;m^{-1}$이었으나, 이후 평균 $25.7dS\;m^{-1}$로 감소되었으며, 범위는 $0.8-70.3dS\;m^{-1}$로 배수의 정도에 따라 큰 변이를 보였다. 포장 시험 전 수리전도도는 $1.89{\times}10^{-7}m\;s^{-1}$으로 낮았으나, 시험 후, 토양 20cm 깊이까지 $1.32{\times}10^{-6}m\;s^{-1}$로 크게 증가된 반면에, 20cm 이하의 심토에서는 $3.44{\times}10^{-7}m\;s^{-1}$로 그 변화정도가 작았다. 토양경도는 0.05-9.99 MPa의 범위를 나타냈고, 토양경도의 수직본포를 조사한 결과 20-40 cm에 경반층이 발달된 것을 확인할 수 있었으며, 이 깊이에서의 수리전도도는 급격히 감소되었다.

• 대한원격탐사학회지
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• 제22권3호
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• pp.183-197
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• 2006

Combinations of visible and near-infrared (NIR) bands in an image are widely used for estimating vegetation vigor and productivity. Using this approach to understand within-field grain crop variability could allow pre-harvest estimates of yield, and might enable mapping of yield variations without use of a combine yield monitor. The objective of this study was to estimate within-field variations in crop yield using vegetation indices derived from hyperspectral images. Hyperspectral images were acquired using an aerial sensor on multiple dates during the 2003 and 2004 cropping seasons for corn and soybean fields in central Missouri. Vegetation indices, including intensity normalized red (NR), intensity normalized green (NG), normalized difference vegetation index (NDVI), green NDVI (gNDVI), and soil-adjusted vegetation index (SAVI), were derived from the images using wavelengths from 440 nm to 850 nm, with bands selected using an iterative procedure. Accuracy of yield estimation models based on these vegetation indices was assessed by comparison with combine yield monitor data. In 2003, late-season NG provided the best estimation of both corn $(r^2\;=\;0.632)$ and soybean $(r^2\;=\;0.467)$ yields. Stepwise multiple linear regression using multiple hyperspectral bands was also used to estimate yield, and explained similar amounts of yield variation. Corn yield variability was better modeled than was soybean yield variability. Remote sensing was better able to estimate yields in the 2003 season when crop growth was limited by water availability, especially on drought-prone portions of the fields. In 2004, when timely rains during the growing season provided adequate moisture across entire fields and yield variability was less, remote sensing estimates of yield were much poorer $(r^2<0.3)$.

• 한국작물학회:학술대회논문집
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• 한국작물학회 2005년도 국제학술회의
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• pp.57-74
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• 2005

Rice yield and protein content have been shown to be highly variable across paddy fields. In order to characterize this spatial variability of rice within a field, the two-year experiments were conducted in 2002 and 2003 in a large-scale rice field of $6,600m^2$ In year 2004, an experiment was conducted to know if prescribed N for site-specific fertilizer management at panicle initiation stage (VRT) could reduce spatial variation in yield and protein content of rice while increasing yield compared to conventional uniform N topdressing (UN, ,33 kg N/ha at PIS) method. The trial field was subdivided into two parts and each part was subjected to UN and VRT treatment. Each part was schematically divided in $10\times10m$ grids for growth and yield measurement or VRT treatment. VRT nitrogen prescription for each grid was calculated based on the nitrogen (N) uptake (from panicle initiation to harvest) required for target rice protein content of $6.8\%$, natural soil N supply, and recovery of top-dressed N fertilizer. The required N uptake for target rice protein content was calculated from the equations to predict rice yield and protein content from plant growth parameters at panicle initiation stage (PIS) and N uptake from PIS to harvest. This model equations were developed from the data obtained from the previous two-year experiments. The plant growth parameters for this calculation were predicted non-destructively by canopy reflectance measurement. Soil N supply for each grid was obtained from the experiment of year 2003, and N recovery was assumed to be $60\%$ according to the previous reports. The prescribed VRT N ranged from 0 to 110kg N/ha with average of 57kg/ha that was higher than 33kg/ha of UN. The results showed that VRT application successfully worked not only to reduce spatial variability of rice yield and protein content but also to increase rough rice yield by 960kg/ha. The coefficient of variation (CV) for rice yield and protein content was reduced significantly to $8.1\%\;and\;7.1\%$ in VRT from $14.6\%\;and\;13.0\%$ in UN, respectively. And also the average protein content of milled rice in VRT showed very similar value of target protein content of $6.8\%$. Although N use efficiency of VRT compared to UN was not quantified due to lack of no N control treatment, the procedure used in this paper for VRT estimation was believed to be reliable and promising method for managing within-field spatial variability of yield and protein content. The method should be received further study before it could be practically used for site-specific crop management in large-scale rice field.

• 한국토양비료학회지
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• 제45권1호
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• pp.112-117
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• 2012

The Revised Universal Soil Loss Equation (RUSLE) is a revision of the Universal Soil Loss Equation (USLE). However, changes for each factor of the USLE have been made in RUSLE which can be used to compute soil loss on areas only where significant overland flow occurs. RUSLE which requires standardized methods to satisfy new data requirements estimates soil movement at a particular site by utilizing the same factorial approach employed by the USLE. The rainfall erosivity in the RUSLE expressed through the R-factor to quantify the effect of raindrop impact and to reflect the amount and rate of runoff likely is associated with the rain. Calculating the R-factor value in the RUSLE equation to predict the related soil loss may be possible to analyse the variability of rainfall erosivity with long time-series of concerned rainfall data. However, daily time step models cannot return proper estimates when run on other specific rainfall patters such as storm and daily cumulative precipitation. Therefore, it is desirable that cross-checking is carried out amongst different time-aggregations typical rainfall event may cause error in estimating the potential soil loss in definite conditions.

• 한국지하수토양환경학회지:지하수토양환경
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• 제16권2호
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• pp.12-29
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• 2011

Risk-based screening levels (RBSLs) of some pollutants for residential adults were derived with risk assessment tools developed by United States Environmental Protection Agency (USEPA), American Society for Testing and Materials (ASTM), and Korea Ministry of Environment (KMOE) and compared each other. To make the comparison simple, ingestion of soil, dermal contact with soil, outdoor inhalation of vapors, indoor inhalation of vapors, and inhalation of soil particulates were chosen as exposure pathways. The results showed that the derived RBSLs varied for every exposure pathway. For direct exposure pathways (i.e., ingestion of soil and dermal contact with soil), the derived RBSLs varied mainly due to the different default values for exposure factors and toxicity data. When identical default values for the parameters were used, the same RBSLs could be derived regardless of the assessment tools used. For inhalation of vapors and inhalation of soil particulates, however, different analysis methods for cross-media transfer rates were used and different assumptions were established for each tool, identical RBSLs could not be obtained even if the same default values for exposure factors were used. Especially for inhalation of soil particulates pathway, screening level derived using KMOE approach (most conservative) was approximately 5000~10000 times lower than the screening level derived using ASTM approach (least conservative). Our results suggest that, when deriving RBSL using a specific tool, it is a prerequisite to technically review the analysis methods for cross-media transfer rates as well as to understand how the assessment tool derives the default values for exposure factors.

• 한국토양비료학회지
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• 제48권3호
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• pp.218-224
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• 2015

Zeolite may help crop growth, yield increase, and salt removal. Field experiment under greenhouse cultivation was conducted to study the effect of zeolite application on growth and yield of Chinese cabbage (Brassica campestris L.) and soil. Soil was classified as Gyuam series (coarse silty, mixed, nonacid, mesic family of Aquic Fluvaquentic Eutrudepts). Six zeolite rates were 0, 3, 5, 10, 20 and $40Mg\;ha^{-1}$. Experimental design was a completely randomized design. Chinese cabbage was grown three times consecutively. Established plant number of plant and yield as fresh weight (F.W.) were measured and soil samples were taken before and after harvesting. Chinese cabbage yield was $76.9Mg\;ha^{-1}$ at a rate of $20Mg\;zeolite\;ha^{-1}$, $54.3Mg\;ha^{-1}$ at a rate of $5Mg\;zeolite\;ha^{-1}$, and $51.3Mg\;ha^{-1}$ at control (no zeolite), respectively. Second order regression analysis using zeolite rate and yield showed that optimum zeolite application rate was between 24 and $26Mg\;ha^{-1}$. The regression equation explained about 88% of the yield variability. The electrical conductivity (EC) decreased from 3.2 to $1.0dS\;m^{-1}$ for all treatments so that salt accumulation was not a concern. Based on the results, we recommend that optimum zeolite application rate is between 20 and $24Mg\;ha^{-1}$ for Chinese cabbage under greenhouse cultivation.

• Geomechanics and Engineering
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• 제7권5호
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• pp.525-537
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• 2014

The typical design of ground improvement with prefabricated vertical drains (PVD) and surcharge preloading involves a series of deterministic analyses using averaged or mean soil properties for the various combination of the PVD spacing and surcharge preloading height that would meet the criteria for minimum consolidation time and required degree of consolidation. The optimum design combination is then selected in which the total cost of ground improvement is a minimum. Considering the variability and uncertainties of the soil consolidation parameters, as well as considering the effects of soil disturbance (smear zone) and drain resistance in the analysis, this study presents a stochastic cost optimization of ground improvement with PVD and surcharge preloading. Direct Monte Carlo (MC) simulation and importance sampling (IS) technique is used in the stochastic analysis by limiting the sampled random soil parameters within the range from a minimum to maximum value while considering their statistical distribution. The method has been verified in a case study of PVD improved ground with preloading, in which average results of the stochastic analysis showed a good agreement with field monitoring data.