• Title/Summary/Keyword: sunshine hours

Search Result 149, Processing Time 0.023 seconds

Comparison of Yield and Quality Characteristics on Mid-Late Maturing Rice Cultivars in Major Cultivation Areas of Gangwon Province (강원도 주요 농업지대별 중만생종 벼 품종의 쌀 수량 및 품질특성 비교)

  • Jeong, Jeong-Su;Goh, Byeong-Dae;Ham, Jin-Kwan;Choi, Kyung-Jin;Yang, Un-Ho
    • KOREAN JOURNAL OF CROP SCIENCE
    • /
    • v.60 no.4
    • /
    • pp.421-430
    • /
    • 2015
  • Rural Development Administration has recently developed mid-late maturing rice cultivars with high quality. This study was conducted to select suitable mid-late maturing rice cultivar in major cultivation areas of Gangwon Province among domestic breeding cultivars for 2 years from 2013 to 2014. The average air temperature during the experiment in 2013 and 2014 was higher $0.6{\sim}1.1^{\circ}C$ in Chuncheon, $1.0{\sim}1.3^{\circ}C$ in Gangreung, and $0.1{\sim}0.7^{\circ}C$ in Cheolwon than normal year. Precipitation in ripening period was higher 52.5 mm in 2013, but lower 176.4 mm in 2014 than normal year in Chuncheon, lower 103.1 mm in 2013 and higher 42.9 mm in 2014 in Gangreung, lower 225.9~322.7 mm in Cheolwon. Duration of sunshine in ripening period was higher 142 hours in Chuncheon, 108 hours in Gangreung, and 94 hours in Cheolwon than normal year in 2013, higher 20~21 hours in Chuncheon and Gangreung, and 82 hours in Cheolwon than normal year in 2014. Milled rice yield of 'Samgwangbyeo' and 'Daebobyeo' was 594 kg per 10a, and 578 kg for 'Jinsumibyeo' in Chuncheon in plain area. For Gangreung in east coastal area, the yield of 'Daebobyeo' was 555 kg per 10a, 'Hopumbyeo' was 554 kg, and 'Chilbobyeo' was 546 kg. For Cheolwon in mid-mountainous area, the yield was 504 kg per 10a for 'Daebobyeo' and 489 kg for 'Haiamibyeo'. But there was no difference in milled rice yield among cultivars tested in the study at each area. Head rice ratio of 'Haiamibyeo', 'Jinsumibyeo', and 'Mipumbyeo' in Chuncheon was 94.2~95.6% higher than the other cultivars. In Gangreung head rice ratio of 'Hopumbyeo', 'Haiamibyeo', and 'Samgwangbyeo' were 85.2~88.3% but there was no difference among cultivars except 'Gopumbyeo' and broken rice ratio of 'Haiamibyeo', 'Samgwangbyeo', and 'Mipumbyeo' were low as 7.5~8.5% and palatability of 'Mipumbyeo' was higher than the other cultivars. Head rice ratio of 'Daebobyeo' was the highest as 89.2% and there was no difference in broken and chalky rice ratio and palatability among cultivars in Cheolwon. Considering rice yield and quality in major cultivation areas of Gangwon Province, suitable mid-late maturing rice cultivars were 'Samgwangbyeo', 'Haiamibyeo', and 'Jinsumibyeo' in Chuncheon, 'Daebobyeo' and 'Chilbobyeo' in Gangreung, and 'Daebobyeo' and 'Haiamibyeo' in Cheolwon. The results obtained in the study imply that the selected cultivars with high yield and quality and suitability to Chuncheon, Gangreung, and Cheolwon, respectively could be recommended to rice cultivating farmers in the regions with high priority.

Effects of Tropical Night and Light Pollution on Cicadas Calls in Urban Areas (도심지 열대야 및 빛공해에 의한 매미 울음 영향)

  • Ki, Kyong-Seok;Gim, Ji-youn;Yoon, Ki-Sang;Lee, Jae-Yoon
    • Korean Journal of Environment and Ecology
    • /
    • v.30 no.4
    • /
    • pp.724-729
    • /
    • 2016
  • Environmental factors that affect the singing of cicadas have not been studied extensively, especially those affecting the cicadas' singing during the nighttime. Therefore, the objective of this study is to identify the effects of tropical night and light pollution on the cicadas' singing in a downtown area. The study sites were an apartment complex in Seocho-gu, Seoul, and the Chiaksan National Park in Wonju-si. The study subjects were Hyalessa fuscata and Cryptotympana atrata, which are the dominant species in Korea during summer. Cicada songs were recorded 24 hours a day, every day. The recording period was between July and August, lasting 25 days at the Seoul site and 14 days at the Chiaksan National Park. Temperature, precipitation, humidity, and amount of sunshine were selected as the environmental factors that potentially affect the cicadas' singing. Statistical analyses included correlations of meteorological factors with the cicadas' singing per hour, per 24 hours, and at nighttime (21:00~04:00). The results showed that: 1) H. fuscata began singing during the dawn hours, and the singing increased in intensity early in the morning. C. atrata's singing reached its peak in the morning and afternoon, ceased during sunset hours, thereby exhibiting a difference in the singing pattern of the two species. 2) The frequency of singing by H. fuscata decreased when C. atrata began to sing intensively in numbers, thereby exhibiting interspecific influence. 3) The results of the correlation analysis between meteorological factors and the singing of H. fuscata and C. atrata showed that both species tended to sing more when the temperature was higher and sang less on rainy days. 4) When limited to nighttime only, C. atrata showed a tendency of singing when the nighttime temperature was high ($24-30^{\circ}C$, average $27^{\circ}C$), whereas H. fuscata did not show a correlation with meteorological factors. However, since H. fuscata sang during the night in areas with artificial lighting, it was concluded that its singing was due to light pollution.

Relationship between Meteorological Factors and Lint Yield of Monoculture Cotton in Mokpo Area (목포지방 기상요인과 단작목화의 생육 및 섬유수량과의 관계)

  • 박희진;김상곤;정동희;권병선;임준택
    • KOREAN JOURNAL OF CROP SCIENCE
    • /
    • v.40 no.2
    • /
    • pp.142-149
    • /
    • 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.

  • PDF

Agroclimatic Zone and Characters of the Area Subject to Climatic Disaster in Korea (농업 기후 지대 구분과 기상 재해 특성)

  • 최돈향;윤성호
    • KOREAN JOURNAL OF CROP SCIENCE
    • /
    • v.34 no.s02
    • /
    • pp.13-33
    • /
    • 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.

  • PDF

The Effect of some Meteorological Factors on the seed characteristics in Korean White pine (Pinus koraiensis S. et Z.) - The weight of cone and seed per cone - (잣나무 종자형질에 미치는 몇 개 기상인자의 영향 -구과 무게 및 구과당 종자 무게 -)

  • Joo Young-Tuk;Chon Sang-Kuen;Chung Dong-Jun
    • Korean Journal of Agricultural and Forest Meteorology
    • /
    • v.1 no.1
    • /
    • pp.20-28
    • /
    • 1999
  • This study was conducted to reveal the effect of some meterological factors on the weight of cone and seed per cone in Korean white pine (Pinus koraiensis SIEB. et ZUCC.). The weight of cone and seed per cone for 7 years from 1992 to 1998 on 45(1992) year-old trees and some meterological factors for 9 years from 1990 to 1998 were surveyed in Hongcheon-Gun region, Gangweon-Do. Simple correlations and multiple regression between weight of cone and seed per cone and some meterological factors were analyzed. The results obtained from the above experiments were as follows: 1. Positive correlations were found between weight of cone and monthly mean temperature of February in flower bud differentiation year. number of annual hoarfrost days of the cone production year monthly mean temperature of may in the cone production year, as July respectively. There were negative correlations between weight of cone and monthly mean temperature of august in the flowering year, wind speed of April in the flower bud differentiation year, number of clear days of december in the flowering year, number of annual cloudy days of the flowering year, number of precipitation days of june in the flowering year, number of annual precipitation days of the flowering year, number of annual cloudy days of March in the cone production year. number of annual cloudy days from march to October in the flowering year as well as number of precipitation from march to october in the flowering year. 2. Positive correlation between weight of seed per cone and number of hours with sunshine duration of June in the flowering year, the percentage of sunshine duration of June in the flowering year, number of clear days of June in the flowering year. monthly mean temperature of may in the cone production year. as well as monthly mean temperature of July in the cone production year were found. Negative correlations were recognized between weight of seed per cone and monthly mean temperature of January in the flowering year, monthly mean temperature of august in the flowering year, wind speed of april in the flower bud differentiation year, number of annual cloudy days of the flowering year, number of precipitation days of June in the flowering year, number of annual cloudy days from March to October in the flowering year as well as number of precipitation from march to October in the flowering year.

  • PDF

Effects of Planting Date on Agronomic Characteristics and Varietal Differences in Sesame Varieties (파종기 이동에 따른 참깨 품종들의 유용형질 변화 및 품종간 차이)

  • Lee, J.I.;Lee, S.T.;Um, G.C.;Park, C.H.
    • KOREAN JOURNAL OF CROP SCIENCE
    • /
    • v.27 no.3
    • /
    • pp.268-275
    • /
    • 1982
  • This study was conducted to obtain basic informations for breeding and improving cultural practices of sesame (Sesamum indicum L.) through investigation of several agronomic characters of 82 major varieties plants in April 20, May 15 and June 20. Stem diameter and plant height were largest in early planting(April 20). On the contrary, they were smallest in late planting(June 15). Therefore, the later planting, the poorer the vegetative growth on the basis of stem diameter and plant height. Number of capsules per plant and number of grains per capsule were 88 and 54, respectively, in the early planting, while they were decreased to 25 capsules and 40 grains in late planting. The percentage of ripeness and 1000 grain weight 78 and 2.3g in the April 20planting while they were 58% and 2.1g in June 20 planting indicating the later planting, the lower the ripeness. Grain yield per m1 in April 20 and June 20 planting was 112 and 18g respectively. Consequently, grain yield significantly decreased as planting delayed. On the basis of the vegetative and reproductive growth, varieties could be classified into early, conventional, late and indetermediate planting adapted groups. The major yield components were highly and postively correlated with accmulated sunshine hours and temperatures confirming that grain yield was closely related with sunshine and temperature. Among the varieties tested, Gurye and Local 135 had more than 150 capsules. Haenam and Woogang had more than 75 grains per capsule. Since grain yield oflate planted sesame were significantly different among the varieties, breeding of sesame for after barly cropping would be more effective under late cultural condition of after barly.

  • PDF

Effects of Different Altitudes and Cultivation Methods on Growth and Flowering Characteristics of Elsholtzia splendens (재배지대와 유형이 꽃향유의 생육 및 개화 특성에 미치는 영향)

  • Young Min Choi;Jin Jae Lee;Dong Chun Cheong;Hong Ki Kim;Hee Kyung Song;Seung Yoon Lee;So Ra Choi;Hyun Ah Han;Han Na Chu
    • Korean Journal of Plant Resources
    • /
    • v.37 no.4
    • /
    • pp.392-400
    • /
    • 2024
  • This study was conducted to find the flowering and growth characteristics according to the different altitudes (plains and mid-mountain regions) and cultivation methods (field and plastic houses cultivation) of Elsholtzia splendens. Experimental regions located at 12 meters and 500 meters above sea level were selected for the plains and the mid-mountain, respectively, and the same method was applied for cultivation management by different altitudes and cultivation methods. In the mid-mountain region, flower bud emergence (2-3 days), flowering (9 days), and full bloom (6-7 days) stages of Elsholtzia splendens were earlier than in the plains, and field cultivation was earlier than plastic house cultivation. The plant height, the main stem diameter, and the number of branches tended to increase gradually after an initial rapid growth at 59 to 69 days after planting date. The days of duration of sunshine (less than 8 hours) from the rainy season (June 20) to the period when vegetative growth increases gradually (59 to 69 days after planting) was 22 to 29 days and 26 to 35 days in the plains and the mid-mountain regions respectively, and this period was estimated time of transition from vegetative growth to reproductive growth. The spikes growth of Elsholtzia splendens by cultivation altitudes was higher in the mid-mountain region than in the plains, and there were no statistically significant differences in growth characteristics except for the main stem diameter, the number of branches, and the dry matter. Also, the amount of flowering and growth was higher in the plastic house cultivation compared to the field cultivation. As a result, some differences in flowering amount were observed when cultivating Elsholtzia splendens for landscaping purposes, but it was considered possible to cultivate in both plains and mid-mountain regions. This study therefore provides ecological information for understanding the relationship between weather characteristics and growth of Elsholtzia splendens.

Estimating the Yield of Potato Non-Mulched Using Climatic Elements (기상자료를 이용한 무피복 재배 감자의 수량 예측)

  • Choi, Sung-Jin;Lee, An-Soo;Jeon, Shin-Jae;Kim, Kyeong-Dae;Seo, Myeong-Cheol;Jung, Woo-Suk;Maeng, Jin-Hee;Kim, In-Jong
    • KOREAN JOURNAL OF CROP SCIENCE
    • /
    • v.59 no.1
    • /
    • pp.89-96
    • /
    • 2014
  • We aimed to evaluate the effects of climatic elements on potato yield and create a model with climatic elements for estimating the potato yield, using the results of the regional adjustment tests of potato. We used 86 data of the yield data of a potato variety, Sumi, from 17 regions over 11 years. According to the results, the climatic elements showed significant level of correlation coefficient with marketable yield appeared to be almost every climatic elements except wind velocity, which was daily average air temperature (Tave), daily minimum air temperature (Tmin), daily maximum air temperature(Tmax), daily range of air temperature (Tm-m), precipitation (Prec.), relative humidity (R.H.), sunshine hours (S.H.) and days of rain over 0.1 mm (D.R.) depending on the periods of days after planting or before harvest. The correlations between these climatic elements and marketable yield of potato were stepwised using SAS, statistical program, and we selected a model to predict the yield of marketable potato, which was $y=7.820{\times}Tmax_-1-6.315{\times}Prec_-4+128.214{\times}DR_-8+91.762{\times}DR_-3+643.965$. The correlation coefficient between the yield derived from the model and the real yield of marketable yield was 0.588 (DF 85).

Introduction to Empirical Approach to Estimate Rice Yield and Comparison with Remote Sensing Approach (경험적 벼 작황예측 방법에 대한 소개와 원격탐사를 이용한 예측과의 비교)

  • Kim, Junhwan;Lee, Chung-Kuen;Sang, Wangyu;Shin, Pyeong;Cho, Hyeounsuk;Seo, Myungchul
    • Korean Journal of Remote Sensing
    • /
    • v.33 no.5_2
    • /
    • pp.733-740
    • /
    • 2017
  • This review introduces the empirical approach of rice yield forecasting and compares it with remote sensing approach. The empirical approach, was based on the results of the rice growth and yield monitoring experiment in 17 sites, estimated rice yield by recombination of yield components. The number of spikelet per unit area was from results of experiment sites and grain filling rate was estimated from linear regression with sunshine hours. The estimation results were relatively accurate from 2010 to 2016. The smallest error was 1 kg / 10a and the largest error was 19 kg / 10a. The largest error was caused by the typhoon. The empirical approach did not fully reflect the spatial variation caused by disasters such as typhoon or pest. On the other hand, remote sensing could explain spatial variation caused by disasters. Therefore, if there are not any disaster in rice field, both approaches are valid and remote sensing will be more accurate when any local disaster occurs.

Modeling for Predicting Yield and $\alpha$-Acid Content in Hop (Humulus lupulus L.) from Meteorological Elements I. A Model for Predicting Fresh Cone Yield (기상요소에 따른 호프 (Humulus lupulus L.)의 수량 및 $\alpha$-Acid 함량 예측모형에 관한 연구 I. 생구화 수량 예측모형)

  • 박경열
    • KOREAN JOURNAL OF CROP SCIENCE
    • /
    • v.33 no.3
    • /
    • pp.215-221
    • /
    • 1988
  • The hop yield prediction model developed based on meteorological elements in Hoeongseong was Y=6,042.846-17.665 $X_1$-0.919 $X_2$-96.538 $X_3$-138.105 $X_4$+86.910 $X_{5}$$X_{6}$ with MS $E_{p}$ of 25.258, $R_{p}$$^{2}$ of 0.9991, R $a_{p}$$^{2}$ of 0.9962 and $C_{p}$ of 7.00. The minimum air temperature at early growing stage ( $X_1$), the total precipitation at cone ripening stage ( $X_2$), the maximum air temperature at flower bud differentiation stage ( $X_3$) and the maximum air temperature at flowering stage ( $X_4$) influenced on hop yield as decrement weather elements. The average air temperature at early growing stage ( $X_{5}$ ) and the total sunshine hours at cone development stage ( $X_{6}$ ) influenced on hop yield as increment weather elements.lements.

  • PDF