• Korean journal of applied entomology
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• v.55 no.1
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• pp.35-43
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• 2016

The temperature-dependent development of Metcalfa pruinosa overwintering eggs was investigated at ten constant temperatures (12.5, 15, 17.5, 20, 22.5, 25, 27.5, 30, 32.5, and $35{\pm}1^{\circ}C$, Relative Humidity 20~30%). All individuals collected before April 13, 2012 failed to develop into first instar larvae. In contrast, some individuals that were collected on April 11, 2013 successfully developed when reared under $20{\sim}32.5^{\circ}C$ temperature regimes. The developmental duration was shortest at $30^{\circ}C$ (13.3 days) and longest at $15^{\circ}C$ (49.6 days) in the fourth collected colony (April 26 2013). Developmental duration decreased with increasing temperature up to $30^{\circ}C$ and development was retarded at high-temperature regimes ($32.5^{\circ}C$). The lower developmental threshold was $10.1^{\circ}C$ and the thermal constant required to complete egg overwintering was 252DD. The Lactin 2 model provided the best statistical description of the relationship between temperature and the developmental rate of M. pruinosa overwintering eggs ($r^2=0.99$). The distribution of the developmental completion of overwintering eggs was well described by the 2-parameter Weibull function ($r^2=0.92$) based on the standardized development duration. However, the estimated cumulative 50% spring emergence dates of overwintering eggs were best predicted by poikilotherm rate model combined with the 2-parameter Weibull model (average difference of 1.7days between observed and estimated dates).

• Journal of the Korean association of regional geographers
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• v.2 no.2
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• pp.49-73
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• 1996

This study produces quantitatively weather entropy and information ratio using information theory about frequency in the appearance of precipitation phenomenon and monthly change, and then applies them to observation of the change of their space scale by time. As a result of these, this study defines Pusan, Chongju and Kwangju's weather representativeness and then establishes the range of weather representativeness. Based on weather entropy (statistical parameter)-the amount of average weather information-and information ratio, we can define each area's weather representativeness, which can show us more constant form included topographical, geographical factors and season change. The data used for this study are the daily precipitotion and cloudiness during the recent five years($1990{\sim}1994$) at the 69 stations in Korea. It is divided into class of no precipitation, that of precipitation. The results of this study can be summarized as follows: (1) The four season's mean value of information ratio is the highest value. as 0.641, on the basis of Chongju. It is the lowest as 0.572, on the basis of Pusan. On a seasonal basis, the highest mean value of information rate is April's (spring) in Chongju, and the lowest is October's(fall) in Pusan. Accordingly weather representativeness has the highest in Chongju and the lowest in Pusan. (2) To synthesize information ratio of decaying tendancy and half-decay distance, Chonju's weather representativeness has the highest in April, July and October. And kwangju has the highest value in January and the lowest in April and July. Pusan's weather representativeness is not high, that of Pusan's October is the lowest in the year. (3) If we establish the weather representative character on the basis of Chongju-Pusan, the domain of Chongju area is larger than that of Pusan area in October, July and April in order. But Pusan's is larger than Chongju's in January. In the case of Chongju and Kwangju, the domain of Chongju area is larger than that of Kwangju in October, July and April in order, but it is less than that of Kwangju area in January. In the case of Kwangju-Pusan, the domain of Kwangju is larger than that of Pusan in October, July in order. But in April it is less than Pusan's.

• Korean Journal of Soil Science and Fertilizer
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• v.28 no.2
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• pp.191-205
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• 1995

The carrier materials used for the development of bacterial inoculants to be effective in field were made with various carrier materials of two major forms, alginate bead and powder inoculants. Inoculants were prepared after mixing those carrier materials with Pseudomonas fluorescens SSL3 and Bacillus subtilis B5, and the treatment effects of each inoculants was investigated on cucumber, tomato, pepper and potato. Survival density of SSL3 and B5 in various carrier materials for duration of storage and the bead inoculants were better than the powder. In the powders, survival rate increased in carrier materials treated 5% skimilk. The growth condition of microorganisms in carrier materials is good at powder. When they were preserved in the long period, contamination is problem. Scanning(200 to 600nm) of the P. fluorescens SSL3 supernatant in centrifuged MKB broth incubated for 48h had two main peaks, pyochelin(300nm) and pyoverdin(400nm). The potato yield in field experiments of spring, treated with bead formulas showed increase of 22~29% in whole potato breeds as compared with control, because the bead formulas degraded, and released the antibiotic microorganisms in slow and constant rate. In the pot experiment, there were significant difference in soil, wheatbran, and bead formed wheatbran.

• Korean Journal of Breeding Science
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• v.42 no.1
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• pp.61-74
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• 2010

Flour characteristics of 26 Korean wheat cultivars (KWC) were evaluated to assess consumer satisfaction with 6 imported wheat and 5 commercial wheat flours. In physical characteristics of flours, Particle size of SW (soft white) was similar to Dahong, Geuru, Milsung, Olgeuru, Seodun, Tapdong, and Uri. DNS (dark northern spring) was similar to Jeokjoong, Joeun, Sukang, and Younbaek. Ash and damaged starch content of KWC was similar to that of imported wheat and commercial flour (Com), but lightness value ($L^*$) were lower than those of Com. Particle size of flour positively correlated with ash, damaged starch, and lightness value ($L^*$) of flour. L ($^*$) value of flour negatively correlated with ash, damaged starch, and particle size of flour. In protein characteristics, Protein content of SW and commercial flour for baking cookie (Com5) was similar to Baekjoong, Jinpoom, Milsung, Olgeuru, Saeol, and Uri. HRW (hard red winter) and commercial flour for baking bread (Com3) was similar to Hanbaek, Joeun, Jopoom, Keumkang, and Sukang. SDS sedimentation volume based on a constant flour weight (SDSS) of KWC was lower than those of DNS and Com3. Mixograph water absorption of KWC similar to imported wheat and Com. Mixing time and maximum dough height (Hm) of KWC were higher than those of imported wheat and Com. Protein content positively correlated with SDS sedimentation volume and water absorption of mixograph. SDS-sedimentation volume positively correlated with water absorption of mixograph, mixing time of mixograph, and height of dough development. In starch characteristics of flour, ASW (Australian standard white) flours showed lower amylose content, higher peak viscosity, breakdown, and setback in pasting properties than other flours. KWV flours showed higher amylose content and lower peak viscosity than those of AH (Australian hard), ASW, commercial flour for making white salted noodles (Com1), commercial flour for making yellow alkaline noodles (Com2), and Com3.

• Journal of Korea Water Resources Association
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• v.56 no.9
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• pp.543-551
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• 2023

Snow is an essential climate factor that affects the climate system and surface energy balance, and it also has a crucial role in water balance by providing solid water stored during the winter for spring runoff and groundwater recharge. In this study, statistical analysis of Local Data Assimilation and Prediction System (LDAPS), Modern.-Era Retrospective Analysis for Research and Applications, version 2 (MERRA-2), and ERA5-Land snow depth data were used to evaluate the applicability in South Korea. The statistical analysis between the Automated Synoptic Observing System (ASOS) ground observation data provided by the Korea Meteorological Administration (KMA) and the reanalysis data showed that LDAPS and ERA5-Land were highly correlated with a correlation coefficient of more than 0.69, but LDAPS showed a large error with an RMSE of 0.79 m. In the case of MERRA-2, the correlation coefficient was lower at 0.17 because the constant value was estimated continuously for some periods, which did not adequately simulate the increase and decrease trend between data. The statistical analysis of LDAPS and ASOS showed high and low performance in the nearby Gangwon Province, where the average snowfall is relatively high, and in the southern region, where the average snowfall is low, respectively. Finally, the error variance between the four independent snow depth data used in this study was calculated through triple collocation (TC), and a merged snow depth data was produced through weighting factors. The reanalyzed data showed the highest error variance in the order of LDAPS, MERRA-2, and ERA5-Land, and LDAPS was given a lower weighting factor due to its higher error variance. In addition, the spatial distribution of ERA5-Land snow depth data showed less variability, so the TC-merged snow depth data showed a similar spatial distribution to MERRA-2, which has a low spatial resolution. Considering the correlation, error, and uncertainty of the data, the ERA5-Land data is suitable for snow-related analysis in South Korea. In addition, it is expected that LDAPS data, which is highly correlated with other data but tends to be overestimated, can be actively utilized for high-resolution representation of regional and climatic diversity if appropriate corrections are performed.