• 한국약용작물학회:학술대회논문집
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• 2011.09a
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• pp.166-167
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• 2011

• 한국약용작물학회:학술대회논문집
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• 2011.04a
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• pp.288-289
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• 2011

• Proceedings of the Korean Society of Agricultural Engineers Conference
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• 2003.10a
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• pp.103-106
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• 2003

A research was made to describe the characteristics of alpine agricultural areas in Hongcheon, Pyeongchang and Jeongsun municipalities that comprise large alpine belts. Analysis of current land-use status, pattern classification of agricultural areas, and land-use suitability evaluation were made to describe the characteristics using GIS.

• Proceedings of the Korean Society of Plant Pathology Conference
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• 1999.04a
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• pp.48.1-48
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• 1999

• Proceedings of the Korean Society of Plant Pathology Conference
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• 1999.10a
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• pp.31.2-31
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• 1999

• Proceedings of the Korean Society of Plant Pathology Conference
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• 1999.10a
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• pp.38.2-38
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• 1999

• Proceedings of the Korean Society of Plant Pathology Conference
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• 2003.10a
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• pp.134.2-135
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• 2003

The plant-pathogenic species S. scabies, S. acidiscabies, and S. turgidiscabies cause the scab disease of potato and produce the phytotoxins, thaxtomins. necl, a gene conferring a necrogenic phenotype, is involved in pathogenicity and physically linked to the thaxtomin A biosynthetic genes. Identification of the pathogenic strains of Streptomyces from soil was performed through the polymerase chain reaction by using specific pathogenicity primer sets derived from the necl gene sequences of Streptomyces smbies. The DNA was extracted from soil using a bead-beating machine and modifications of the FastPrep system. The DNA was suitable for direct use in the PCR. The PCR products showed the bands of approximately 460 bp. This methods can be very usuful in identifying species responsible for scab diseases and studying on the ecology of plant-pathogenic Streptomyces spp.

• The Korean Journal of Ecology
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• v.21 no.5_2
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• pp.541-547
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• 1998

The flora and vegetation of the alpine grassland at Dalmoon on Mt. Paektu were investigated on July 24, 1997 by 1 m ${\times}$ 1 m quadrat method. The flora of the vascular plants investigated on this alpine grassland was 36 taxa belonging to 17 families, 35 genera, 29 species, 3 subspecies, 4 varieties. Te leading families were Compositae (7 taxa) and Gramineae (4 species), and the forb was more than the grass. Four dwarf shrubs which were Salix metaformosa, Dryas octopetala var. asiatica, Rhododendron aureum and Vaccinium vitis-idaea were found at the studied sites. This alpine grassland was composed of 17 communities, Astragalus uliginosus, Sanguisorba sitchensis, Deschampsia caespitosa were dominated over 18, 5 and 4 quadrats, respectively.

• Korean Journal of Plant Resources
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• v.21 no.1
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• pp.83-86
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• 2008

Four compounds, luteolin(1), quercetin(2) astragalin(3), rutin(4), were isolated from the methanol extract of the all part of Polytrichum commune. on the basis of chemical and spectroscopic evidence. These compounds have not been isolated from this plant.

• Korean Journal of Agricultural and Forest Meteorology
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• v.3 no.3
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• pp.156-162
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• 2001

In order to monitor local climatic information, twelve automated weather stations (AWS) were installed in alpine area by the Alpine Agricultural Experiment Station, Rural Development Administration (RDA), at the field of major crop located in around highland area, and collected data from 1993 to 2000. Hourly measurements of air and soil temperature (underground 10 cm,20 cm), relative humidity, wind speed and direction, precipitation, solar radiation and leaf wetness were automatically performed and the data could be collected through a public phone line. Datalogger was selected as CR10X (Campbell scientific, LTD, USA) out of consideration for sensers' compatibility, economics, endurance and conveniences. All AWS in alpine area were combined for net work and daily climatic data were analyzed in text and graphic file by program (Chumsungdae, LTD) on 1 km $\times$ 1 km grid tell basis. In this analysis system, important multi-functionalities, monitoring and analysis of local climatic information in alpine area was emphasized. The first objective was to obtain the output of a real time data from AWS. Secondly, daily climatic normals for each grid tell were calculated from geo-statistical relationships based on the climatic records of existing weather stations as well as their topographical informations. On 1 km $\times$ 1 km grid cell basis, real time climatic data from the automated weather stations and daily climatic normals were analyzed and graphed. In the future, if several simulation models were developed and connected with this system it would be possible to precisely forecast crop growth and yield or plant disease and pest by using climatic information in alpine area.