• Korean Journal of Plant Resources
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• v.2 no.1
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• pp.223-233
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• 1989

Recently, researches on oil crops Ln Korea were breeding on edible oil crops such as rapeseed sesame, peanut , periLla.Numerous varieties were released as a result of ective breedingworks on edible oil crops, that is 7 rape varieties including Yu-dal, Mokpo-11, Yongdang, Nozeogchae, Naehan, Yeongsanyuchae and Ch-eongpungyuchae (hybrid),5 varieties sesame including Suweon-5,9,21,Kwangsan99ae and Dabaekggae, 5 peanut varieties including Seodun-tangkonT,Yeonghotangkong, 01tankong , ShinpungtanTkong and SaedI-tanGkong, 3 periLLa varietLes including Daegu, Suweon8 and 10,res-pectively. This varietLes showed a good oil quality with high o-Leic and LinoLeic acids content, but periLLa oil seemed to be un-suitable for a edible use, since about 53 Percent of Its fatty a-cids was in the from of unsaturated LinoLenic acid.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.25 no.3
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• pp.59-62
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• 1980

An artificial lodging was made at various growth stages of the rape varieties Yongdang and Mokpo 29 to evaluate its effect on seed yield and other important agronomic characters. Results showed general increases in plant height and number of branches per plant whereas reductions in 1.000 grain weight, number of pods and seeds per plant in the severly lodged plots. As compared to control of lodging, about 29 percent yeild reduction was caused by the severe lodging treatment. Further more, the most severe lodging before blooming resulted in about 60% yield losses.

• Tunnel and Underground Space
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• v.16 no.1 s.60
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• pp.73-84
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• 2006

Effects of railway tunnel excavation on water level at a national groundwater monitoring station in Mokpo were evaluated by field investigation and numerical groundwater modeling. The water level at the station has experienced a decline of about 5 m within 1 year since July 2002. From the field investigation, it was concluded that decrease of precipitation oo increase of grundwater use was not reason for the decline. The Mokpo tunnel of new Honam railway, 70 m apart from the national station, appeared most plausible cause and a period of the tunnel excavation generally well matches up that of the drawdown. To quantify the effects of the tunneling on the water level, a groundwater flow modeling was performed. Especially, a most probable conceptual model was optimized through multiple preliminary simulations of various scenarios because there were few hydrogeological data available for the study area. The optimized model was finally used for the quantification. Based on the field investigation and the numerical simulations, it was concluded that the tunnel excavation was one of the most probable reasons for the substantial water level decline but further hydrogeologic investigation and continuous monitoring are essentially required for the surrounding area.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.40 no.2
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• pp.142-149
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• 1995

This study was conducted to investigate the relationships between yearly variation of climatic components and yearly variations of productivity in monoculture cotton. In addition, correlation coefficients among yield and yield components were estimated. The data of yield and yield components from the four varieties(Kinggus, Yongdang local. 113-4, 380) were collected from 1978 to 1992 in Mokpo area. The meteorological data gathered at the Mokpo Weather Station for the same period were used to find out the relationships between climatic components and productivity. Yearly variation of the amount of precipitation and number of stormy days in July are large with coefficients of the variations(C.V)84.89 and 97.05%, respectively, while yearly variation, of the average temperature, maximum temperature, minimum temperature from May to Sep. are relatively small. Seed cotton yield before frost in Sep. and Oct. very greatly with C.V. of 68.77, 78.52%, respectively. Number of boll bearing branches and lint percentage show more or less small in C.V. with 11.77 and 19.13%, respectively and flowering date and boll opening date show still less variation. Correlation coefficients between precipitation in May and number of boll bearing branches, duration of sunshine in July and number of bolls per plant, maximum temperature in July and total seed cotton before the frost in Sep., Oct., and Nov. evaporation in Aug. are positively sig-nificant at the 1% level. There are highly significantly positive correlated relationships among yield(total seed cotton) and yield components. Total seed cotton yield(Y) can be predicted by multiple regression equation with independent variables of climatic factors in July such as monthly averages of average temperature($X_1$), maximum temperature($X_2$) and minimum temperature($X_3$), monthly amount of precipitation ($X_4$), evaporation($X_5$), monthly average of relative humidity($X_6$), monthly hours with sunshine($X_7$) and number of rainy days($X_8$). The equation is estimatedas Y =-1080.8515 + 144.7133$X_1$+15.8722$X_2$ + 164.9367$X_3$ + 0.0802$X_4$ + 0.5932$X_5$ + 11.3373$X_6$ + 3.4683$X_7$- 9.0846$X_8$. Also, total seed cotton yield(Y) can be predicted by the same method with climatic components in Aug., Y =2835.2497 + 57.9134$X_1$ - 46.9055$X_2$ - 41.5886X$_3$ + 1.2559$X_5$ - 21.9687$X_6$ - 3.3763$X_7$- 4.1080$X_8$- 17.5586$X_9$. And the error between observed and theoretical yield were less with approached linear regression.