• Korean Journal of Agricultural and Forest Meteorology
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• v.4 no.3
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• pp.141-150
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• 2002

This study was conducted to reveal the effects of local climatic conditions on the yearly cone production in progeny test stand of Korean white pine. For this, yearly cone production by locality of progeny test stands was first measured and analyzed. The effects of climatic conditions on the cone production was analyzed by the estimation of yearly local climates based on both a topoclimatological method and a spatial statistical technique. From yearly climatic estimates, 19 climatic indices affecting cone production were computed for each of the progeny test stand. The yearly cone productions were then correlated with and regressed to the climatic indices to examine effects of local climatic conditions on the reproductive growth. According to correlation analysis, it was found that some typical climatic indices by locality were significantly correlated with the cone production. Also, the optimal regression equations which can estimate cone production by local climatic conditions were provided for applying to each of the progeny test stand of Korean white pine.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2019.10a
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• pp.50-50
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• 2019

잇꽃(Carthamus tinctorius L.)은 국화과에 속하는 두해살이 초본 식물로 한자명은 홍화(紅花), 영명으로는 Safflower를 사용하고 있다. 잇꽃의 원산지는 이집트, 아프카니스탄 등의 서남아시아가 원산지로 알려져 있으며, 우리나라의 잇꽃 재배면적은 2010년 39 ha 수준이 재배되다가 2016년에는 67 ha로 재배면적이 증가한 것으로 보고되고 있다. 우리나라에서 잇꽃 이용은 잇꽃 종실을 위주로 이용되고 있으나 일본의 경우 잇꽃의 경관적 가치를 활용하여 산형현(山形縣)에서는 홍화축제가 매년 개최되고 있으며, 미국 등에서는 잇꽃의 저온압착유가 기능성 건강식품류로 판매되고 있다. 본 연구는 일조시수가 짧은 표고 500 m의 준고랭지에서 잇꽃의 경관적 가치 활용도를 평가하기 위해 차광조건에 따른 개화특성 및 종실 수량성을 평가하기 위해 수행되었다. 비가림 하우스에서 5월 9일 파종후 생육 54일차인 7월 5일 개화기에 지상부 발육량을 조사한 결과 차괄비율이 강해질수록 엽장폭비가 감소하여 세장형에서 장타원형으로 성장함을 알수 있었고, 분지수는 30% 차광조건에서 증가하는 경향을 보였다. 같은 시기에 조사한 엽면적에서는 30% 차광에서 증가하다가 차광비율이 높아질수록 감소하였으며, 식물체당 총 착화수는 30% 차광조건에서 20.3화/주로 가장 많았고 2차 화경의 착화수도 많은 경향을 보였다. 착생된 꽃의 개화단계를 3등급으로 구분하여 비율을 조사한 결과 차광 조건에서는 개화 2, 3단계의 비율이 무차광에 비해 낮아 개화가 지연됨을 알수 있었고, 건조한 관상화의 색도에서는 차광비율이 높아질수록 b 값이 증가하여 황색값이 높아지는 것을 알수 있었다. 파종 후 생육 94일 차인 8월 13일 종실을 수확하여 식물체당 100립중을 조사한 결과 무차광 4.9 g에 비해 차광조건에서는 감소하는 경향을 보였고, 종실수량성에서도 무차광에서 201.1 kg/10 a로 가장 높아 차광조건에서 잇꽃 재배는 개화지연에 의한 등숙률의 감소로 종실수량성이 감소하는 것으로 판단되었다.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2020.08a
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• pp.65-65
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• 2020

우리나라의 잇꽃 재배는 2010년 39ha 수준이 재배되다가 2014년에는 76ha 까지 확대되었으나 점차 감소하는 추세를 보이고 있으며 2018년에는 55ha가 재배되고 있는 것으로 보고되었고 주산지는 전라남도와 경상북도로 알려져 있다. 잇꽃(Carthamus tinctorius L.)은 국화과에 속하는 두해살이 초본 식물로 한자명은 홍화(紅花), 영명으로는 Safflower를 사용하고 있다. 우리나라에서 잇꽃 이용은 잇꽃 종실을 위주로 이용되고 있으나 일본의 경우 잇꽃의 경관적 가치를 활용하여 산형현(山形縣)에서는 홍화축제가 매년 개최되고 있으며, 미국 등에서는 잇꽃의 저온 압착유가 기능성 건강식품류로 판매되고 있다. 본 연구는 차광 조건에 따른 잇꽃의 개화특성 및 종자의 지방산 조성을 조사하여 일조시수가 짧은 준고랭지에서 잇꽃의 적응성을 평가하기 위해 수행되었다. 차광조건별로 개화기의 엽면적을 조사한 결과 30% 차광조건에서 9041.0mm²로 무차광에 비해 높아지는 양상을 보였고 50% 이상의 차광에서는 유의하게 낮아지는 경향을 나타냈다. 식물체의 초장은 50% 차광에서 낮아지는 양상이었으며, 주경의 착엽수는 30%와 70% 차광조건에서 18.3매/주 이상으로 증가되는 경향을 보였다. 화서별 착화수에서는 1차 화경 및 2차 화경 모두에서 30% 차광조건에서 착화수가 높은 경향을 나타냈으며 70% 차광조건에서는 2차화경 착화수가 유의하게 낮아지는 경향을 보였다. 차광 조건별로 잇꽃의 개화단계를 비교한 결과 동일한 조사시기에 무차광에서는 개화 3단계의 만개기까지 도달한 비율이 51.6%로 높았으나 50% 이상 차광에서는 11.1%로 낮아 개화가 지연되는 결과를 보였다. 차광조건에 따른 종자의 100립중은 무차광에서 4.9g의로 유의하게 높았으며 차광 비율이 높아질수록 낮아지는 양상이었고 단윔녀적당 종자 수량에서도 무차광이 201.1kg/10a를 보인 반면70% 차광에서는 86.6kg/10a의 낮은 수량을 보였다. 잇꽃 종자의지방산 조성에서 조지방 함량은 18.1~18.6% 범위로 차광조건에 따른 유의한 차이는 없었으며 palmitic acid의 함량은 무차광에서 5.35%로 높았으나, oleic acid의 함량은 30% 차광조건에서 10.2%로 무차광에 비해 높아지는 양상을 나타냈으며 linoleic acid는 50% 차광조건에서 83.6%로 가장 높은 비율을 보였다.

• Journal of Sericultural and Entomological Science
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• v.16 no.1
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• pp.77-84
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• 1974

In autumn season residual period of nicotine is observed in the larval duration, weight of molting larvae at the various stages, percentage of delayed molting larvae, and survival rate up to the 3rd stage from the 1st season to the 3rd season and up to the stage for four seasons, respectively. Mulberry tree is planted in pot from June 18, 1973 to August 4, 1973 and placed every other row between tobacco variety of Hicks cultivated in mulching system and control is prepared in the Sericultural Experiment Station, placing in the every ridge of mulberry field with the four seasons ; 5 day isolation (1st season), 15 day isolation (2nd season), 25 day isolation (3rd season), and 50 day isolation (4th season). 1) 1st and 3nd instar larvae fed with the tobacco stained mulberry leaf has longer larval duration for the four seasons, as compared with those of the control, increasing 12％ in index with 28 hours, 17％ in index with 37 hours, 23％ in index with 50 hours, 17％ in index with 43 hours from the 1st season to the fourth season and the 3rd to the 4th instar larvae, increasing 18％ in index with 55 hours. 2) 2nd instar molting larvae, 3rd instar molting larvae from the 1st to the 4th season and 4th instar molting larvae at the 4th season decrease their larval weight respectively, as compared with the control. 3) Percentage of delayed molting larvae from the 3rd stage to the 4th stage goes up higher than that of the control in the End larval stage at the 3rd to the 4th season, in the 3rd larval stage at the 1st, the End, and the 4th season, and in the 4th larval stage at the 4th season, respectively. 4) Survival rates in the 2nd larval stage at the 2nd season to the 4th season, in the 3rd larval stage at the 1st to the 4th season, and in the 4th larval stage at the 4th season respectively are higher than that in the control.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.34 no.s02
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• pp.13-33
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• 1989

Agroclimate should be analyzed and evaluated accurately to make better use of available chimatic resources for the establishment of optimum cropping systems. Introducing of appropriate cultivars and their cultivation techniques into classified agroclimatic zone could contribute to the stability and costs of crop production. To classify the agroclimatic zones, such climatic factors as temperature, precipitation, sunshine, humidity and wind were considered as major influencing factors on the crop growth and yield. For the classification of rice agroclimatic zones, precipitation and drought index during transplanting time, the first occurrence of effective growth temperature (above 15$^{\circ}C$) and its duration, the probability of low temperature occurrence, variation in temperature and sunshine hours, and climatic productivity index were used in the analysis. The agroclimatic zones for rice crop were classified into 19 zones as follows; (1) Taebaek Alpine Zone, (2) Taebaek Semi-Alpine Zone, (3) Sobaek Mountainous Zone, (4) Noryeong Sobaek Mountainous Zone, (5) Yeongnam Inland Mountainous Zone, (6) Northern Central Inland Zone, (7) Central Inland Zone, (8) Western Soebaek Inland Zone, (9) Noryeong Eastern and Western Inland Zone, (10) Honam Inland Zone, (ll) Yeongnam Basin Zone, (12) Yeongnam Inland Zone, (13) Western Central Plain Zone, (14) Southern Charyeong Plain Zone, (15) South Western Coastal Zone, (16) Southern Coastal Zone, (17) Northern Eastern Coastal Zone, (18) Central Eastern Coastal Zone, and (19) South Eastern Coastal Zone. The classification of agroclimatic zones for cropping systems was based on the rice agroclimatic zones considering zonal climatic factors for both summer and winter crops and traditional cropping systems. The agroclimatic zones were identified for cropping systems as follows: (I) Alpine Zone, (II) Mountainous Zone, (III) Central Northern Inland Zone, (IV) Central Northern West Coastal Zone, (V) Cental Southern West Coastal Zone, (VI) Gyeongbuk Inland Zone, (VII) Southern Inland Zone, (VIII) Southern Coastal Zone, and (IX) Eastern Coastal Zone. The agroclimatic zonal characteristics of climatic disasters under rice cultivation were identified: as frequent drought zones of (11) Yeongnam Basin Zone, (17) North Eastern Coastal Zone with the frequency of low temperature occurrence below 13$^{\circ}C$ at root setting stage above 9.1％, and (2) Taebaek Semi-Alpine Zone with cold injury during reproductive stages, as the thphoon and intensive precipitation zones of (10) Hanam Inland Zone, (15) Southern West Coastal Zone, (16) Southern Coastal Zone with more than 4 times of damage in a year and with typhoon path and heavy precipitation intensity concerned. Especially the three east coastal zones, (17), (18), and (19), were subjected to wind and flood damages 2 to 3 times a year as well as subjected to drought and cold temperature injury.

• Korean Journal of Agricultural and Forest Meteorology
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• v.3 no.4
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• pp.185-198
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• 2001

This study was conducted to reveal the effects of local climatic conditions on reproductive growth in a mature stand of Korean white pine based on climatic estimates. For this, the reproductive growth such as production and characteristics of cone and seed were first measured and summarized for seven years from 1974 to 1980. The local climatic conditions in the study site were also estimated by both a topoclimatological method and a spatial statistical technique. The local climatic conditions were then correlated with and regressed on the growth factors to reveal the relationships between the climatic estimates and the reproductive growth. Average number of conelet formation per tree showed highly negative correlation with some climatic variables related to minimum temperature in the year of flower bud differentiation. Especially, the most significant negative correlation were found between average of the minimum temperature for June and July of flower bud differentiation year and the number of conelet formation. There was no significant correlation between the number of cone production and climatic variables. However, total precipitation from December of the flowering year to February of the cone production year showed the most high correlation (r=0.6036) with the number of cone production. It was found that significant climatic variables affecting the amount of cone drop and cone drop percentage were the sum of cloudy days from June of the flowering year to August of the cone production year. Positive correlation was significantly recognized between the average weight of empty seed per cone and total precipitation from December of the flowering year to February of the cone production year. For the percentage of empty seed, five climatic variables among 19 variables were significantly correlated at 10% level. The average weight of a cone showed negative correlation with total precipitation from June of the flowering year to August of the cone production year. It was also found that average weight of a seed had highly negative correlation with total precipitation from December of the flowering year to February of the cone production year. The average weight of cone coat was negatively correlated with two climatic variables derived from clear days, which are sum of clear days from November of the flowering year to March of the cone production year and sum of clear days from December of the flowering year to February of the cone production year. On the other hand, it showed positive correlation with mean temperature of May in the flowering year. The exactly same results were obtained in correlation analysis for the percentage of cone coat.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.38 no.3
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• pp.253-263
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• 1993

Climatological informations have not been fully utilized by agricultural research and extension workers in Korea due mainly to inaccessbilty to the archived climate data. This study was initiated to improve access to historical climate data gathered from 72 weather stations of Korea Meteorological Administration for agricultural applications by using a microcomputer-based methodology. The climatological elements include daily values of average, maximum and minimum temperature, relative humidity, average and maximum wind speed, wind direction, evaporation, precipitation, sunshine duration and cloud amount. The menu-driven, user-friendly data retrieval system(CLIDAS) provides quick summaries of the data values on a daily, weekly and monthly basis and selective retrieval of weather records meeting certain user specified critical conditions. Growing degree days and potential evapotranspiration data are derived from the daily climatic data, too. Data reports can be output to the computer screen, a printer or ASCII data files. CLIDAS can be run on any IBM compatible machines with Video Graphics Array card. To run the system with the whole database, more than 50 Mb hard disk space should be available. The system can be easily upgraded for further expansion of functions due to the module-structured design.

• 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.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.61 no.3
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• pp.171-183
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• 2016

The effects of weather variations on winter hulless barley were analyzed using data obtained from winter crop situation test at Iksan from 1985 to 2015. The wintering stage in the 16 years from 2000 to 2015 has become colder and shorter than that in the previous 15 years from 1985 to 1999. This has resulted in an early sequence of regrowth date, heading date, and ripening date. Heading date of hulless barley was mostly influenced by regrowth date and period of stem elongation. Futher, the regrowth date and period of stem elongation were strongly negatively correlated with the average air temperature in February and the maximum air temperature in March, respectively. The number of spikes per $m^2$ and 1000-grain weight of Saechalssal cultivated from 2003 to 2015 showed strong positive correlations with yield. In early heading years, yield increased with extended ripening period and with increased 1000-grain weight. There was a strong negative correlation between 1000-grain weight and the average temperature during the ripening period. In the 15 years from 1985 to 1999, warm winters contributed to yield increase with increase in the number of spikes per $m^2$ and a long ripening period. In contrast, in the recent 16 years from 2000 to 2015, the large variability in air temperature during the wintering stage, the decreasing number of spikes per $m^2$ and the steadily increasing air temperature and decreasing precipitation during the ripening stage have caused high temperature stress and yield loss in late heading years.

• Korean Journal of Soil Science and Fertilizer
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• v.25 no.3
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• pp.231-241
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• 1992

To study the relationships between major micrometeorological elements and their influences on evapotranspiration(ET) in the canopy of two rice cultivars, Daecheongbyo and Samgangbyo, synoptic meteorological factors, micrometeorological elements and ET from the canopy and biomass production were observed at various growth stages in the paddy field of Suwon Weather Forcast Office in 1989. ET from the rice community was highly correlated with the following factors in order of pan evaporation>air temperature>leaf temperature>solar radiation>sunshine duration>difference in vapor pressure depicit(VPD)>water temperature. ET observed showed higher correlation with the evaporation from small pan than that from Class A pan. Varietal difference would be noted in the relationships between ET in Samgangbyo canopy and the evaporations observed from the pans, with which closer a correlation was found in Samgangbyo than in Daecheongbyo. The ratio of canopy ET to the evaporation from Class A pan was maintained over 1.0 through the growth stages with the maximum of 1.9 at the late August. The evaporation observed from Class A pan was amounted to 71.9% of that from small pan. ET was better correlated with solar radiation than with net radiation which reached about 66% of solar radiation. Maximum temperature showed higher correlation with ET than mean air temperature, and also wind speed of 1m above ground revealed positive correlation. The relative humidity, however, had no correlation with the exception of ET in rainy days. A regression model developed to estimate ET as a function of meteorological elements being described with $R^2$ of 0.607 as : $ET=-5.3594+0.7005Pan\;A+0.1926T_{mean}+0.0878_{sol}+0.025RH$.