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Kim, Hyeong-Seog,Ho, Chang-Hoi,Chu, Pao-Shin,Kim, Joo-Hong John Wiley Sons, Ltd. 2010 International journal of climatology Vol.30 No.2
<P>In the present study, we have employed two statistical models to predict summertime (July–September) tropical cyclone (TC) activity over the East China Sea using the least absolute deviation (LAD) regression and the Poisson regression method. Through a lagged correlation analysis of the relationship between the seasonal TC frequency in the target region and several pre-season environmental parameters for the period 1979–2003, physically interpretable and statistically significant large-scale environmental parameters were identified as potential predictors. After applying the predictor screening method based on the stepwise regression, three predictors, i.e. sea surface temperature, outgoing long-wave radiation and 850-hPa relative vorticity were finally chosen. They are related to the phase transition of El Niño/Southern Oscillation and the strength of the western North Pacific summer monsoon. The correlation coefficient between the predicted and the observed frequency is 0.75 for the LAD model and 0.78 for the Poisson model. The predictions using the two models have a skill improvement of about 60% compared to the reference forecasts. The present study suggests that both models are skillful in predicting summertime TC frequency over the East China Sea with the Poisson model being slightly more skillful than the LAD model. Copyright © 2009 Royal Meteorological Society</P>
Biological evaluation of neopeptins isolated from a Streptomyces strain
Kim, Yun Sung,Kim, Hyeong Min,Chang, Cheol,Hwang, In Cheon,Oh, Hyuncheol,Ahn, Jong Seog,Kim, Ki Deok,Hwang, Byung Kook,Kim, Beom Seok John Wiley Sons, Ltd. 2007 Pest management science Vol.63 No.12
<P>BACKGROUND: Microbial secondary metabolites are a rich source of antifungal agents and have merit as alternatives to synthetic fungicides. To develop disease control agents against powdery mildew, the lipopeptide antibiotic neopeptins were identified from the culture broth of a Streptomyces sp., and in vivo control efficacy of the compounds was evaluated on cucumber plants under glasshouse conditions.</P><P>RESULTS: The Streptomyces sp. KNF2047 antagonistic against powdery mildew development in cucumber plants was isolated from a soil sample. Antifungal compounds were purified from the culture broth and identified as neopeptin A and B. In vitro microtitre assays revealed the inhibitory activities of the compounds in the range 128–512 µg mL<SUP>−1</SUP> against the mycelial growth of Alternaria mali, Botrytis cinerea, Cladosporium cucumerinum, Colletotrichum lagenarium, Didimella bryoniae and Magnaporthe grisea. Although neither compound showed remarkable in vitro antifungal activity against other plant pathogenic fungi, a mixture of neopeptins (484 mg of neopeptin A and 290 mg of neopeptin B per gram of partially purified powder) showed potent protective and curative activity against cucumber powdery mildew in vivo. The disease control activity of the neopeptins at a concentration of 2.4 mg L<SUP>−1</SUP> was 92.1%, which was similar to that of the commercial fungicide fenarimol (89.3% at 63 mg L<SUP>−1</SUP>) and that of the commercial biocontrol agent Actinovate (67.4% at 2 × 10<SUP>7</SUP> cfu L<SUP>−1</SUP>).</P><P>CONCLUSION: Neopeptin mixtures isolated from Streptomyces sp. KNF2047 showed potent disease control activity against powdery mildew development on cucumber plants. Copyright © 2007 Society of Chemical Industry</P>