• Korean Journal of Poultry Science
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• v.11 no.2
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• pp.127-132
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• 1984

In order to investigate the effect of temperature variation in winter season on the egg production and energy utilization of poultry, 30week-old Warren layers were reared during 17 weeks of experimental period, from Nov. 1st, 1980 to Feb. 27th. 1981. The effect of temperature change on the body weight, feed intake and feed conversion was not found. But the outdoor average and the indoor minimum temperature had changed Positively 0.46 and 0.24% of henday egg production per 1$^{\circ}C$ fluctuation, respectively. Daily metabolizable energy utilized during 32 (Nov.15th), 34(Dec.1st) and 46(Feb. 27th) week-old reached to, respectively, 358, 385 and 419 kcal per bird, and 159, 173 and 176 kcal per kg body weight. Also the metabolizable energy utilization correlated negatively with the ambient temperature fluctuation, while the equation by NRC(1981) for metabolizable energy requirement estimation were well in accord with these results when the indoor minimum temperatures were based. And the metabolizable energy requirements per kg body weight were 1.7, 1.6 and 2.1 kcal, respectively, according as 1C fluctuation of outdoor, indoor maximum and indoor maximum and indoor minimum temperatures. Thus it is appeared that indoor temperatures fluctuated by outdoor temperatures will affect the egg Production and metabolizable energy utilization of hen in winter season of Korea.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.53 no.1
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• pp.42-49
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• 2008

GDD models of corn were developed in bare soil, while sweet and super sweet corns are grown under black polyethylene (P. E.) film mulch in Korea. To develop a suitable GDD model under black P. E. film mulch, a super sweet com hybrid "Cambella-90" was planted from 1 April to 30 June in 2003 at the 10-day intervals under black P. E. film mulch and in bare soil. In bare soil the best GDD model was $GDD\;=\;{\sum}[H"+L')/2\;-\;10^{\circ}C]$, where H" was daily maximum temperature but is was substituted for $30^{\circ}C$ - (daily maximum temperature - $30^{\circ}C$) when higher than $30^{\circ}C$ and L' was daily minimum temperature, but it was substituted for $10^{\circ}C$ when lower than $10^{\circ}C$. The same GDD model could be adapted for com grown under black P. E. film mulch, but base temperature was substituted for $9^{\circ}C$. To determine planting date for the scheduled harvests, accumulated GDDs were calculated using 30-year average temperature data during the growing season. Under black P. E. film mulch planting dates were determined by subtracting GDD of the hybrid, $970^{\circ}C$, from accumulated GDD of scheduled harvest dates.

• Asian-Australasian Journal of Animal Sciences
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• v.22 no.3
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• pp.416-420
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• 2009

An experiment of one-year duration was conducted on sixteen adult male German Angora rabbits under sub-temperate Himalayan conditions, to assess the effect of seasons on their body weight, wool production and quality, plane of nutrition and the digestibilities of nutrients. The daily meteorological attribute viz. minimum and maximum temperature; relative humidity and rainfall were recorded during winter (October to March), summer (April to June) and rainy (July to September) seasons. Biological parameters viz. body weight at the time of shearing, wool yield of individual rabbit, quality attributes of wool, fortnightly dry matter intake, chemical composition of feed and fodder and digestibilities of nutrients were recorded. Average minimum and maximum ambient temperature during winter, summer and rainy seasons were 4.6${\pm}$1.9 and 21.4${\pm}$2.8; 13.6${\pm}$2 and 30.3${\pm}$2; and 20.0${\pm}$1.4 and $31.0{\pm}1.8^{\circ}C$, respectively. The average relative humidity and total rainfall during winter, summer and rainy season were 69.5${\pm}$2.9% and 74.7${\pm}$21.8 mm; 58.6${\pm}$2.2% and 38.1${\pm}$18.1 mm; and 69${\pm}$4.2% and 104.0${\pm}$43.7 mm, respectively. The body weight of rabbits increased during all seasons, however, the maximum average daily weight gain of 3.47${\pm}$0.1 g was observed during the rainy season. The wool yield differed significantly (p$\leq$0.05) among different seasons with highest (140.4${\pm}$10 g) and lowest (108.5${\pm}$6.9 g) during winter and summer, respectively. The wool yield during the rainy season was 123.3${\pm}$5.2 g. The wool quality attributes revealed non-significant differences for staple length, fiber diameter, medulation percent, percent pure fibers and percent guard hairs. Plane of nutrition revealed significant (p$\leq$0.05) differences for concentrate intake. The concentrate intake was highest during winter (124.4${\pm}$2.6 g) followed by summer (86.8${\pm}$8.9 g) and rainy (80.7${\pm}$11.8 g) seasons. The reverse trend was observed in roughage intake with significantly (p${\leq}$0.05) lower intake during winter and highest during summer months. As a result total dry matter intake during different seasons was similar. Significant differences (p${\leq}$0.05) were observed for digestibilities of crude protein, crude fiber, ether extract, acid detergent fiber and cellulose. Digestibility of crude protein was highest during winter whereas the digestibilities of crude fiber, ether extract, acid detergent fiber and cellulose remained higher during the rainy season. During the winter season, the dry matter used for producing 100 g of wool was substantially lower than during other seasons and was concluded to be the best season for production of Angora wool under subtemperate Himalayan conditions.

• Korean Journal of Agricultural and Forest Meteorology
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• v.8 no.1
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• pp.1-9
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• 2006

Regardless of the recent observed warmer winters in Korea, more freeze injuries and associated economic losses are reported in fruit industry than ever before. Existing freeze-frost forecasting systems employ only daily minimum temperature for judging the potential damage on dormant flowering buds but cannot accommodate potential biological responses such as short-term acclimation of plants to severe weather episodes as well as annual variation in climate. We introduce 'dormancy depth', in addition to daily minimum temperature, as a complementary criterion for judging the potential damage of freezing temperatures on dormant flowering buds of grape vines. Dormancy depth can be estimated by a phonology model driven by daily maximum and minimum temperature and is expected to make a reasonable proxy for physiological tolerance of buds to low temperature. Dormancy depth at a selected site was estimated for a climatological normal year by this model, and we found a close similarity in time course change pattern between the estimated dormancy depth and the known cold tolerance of fruit trees. Inter-annual and spatial variation in dormancy depth were identified by this method, showing the feasibility of using dormancy depth as a proxy indicator for tolerance to low temperature during the winter season. The model was applied to 10 vineyards which were recently damaged by a cold spell, and a temperature-dormancy depth-freeze injury relationship was formulated into an exponential-saturation model which can be used for judging freeze risk under a given set of temperature and dormancy depth. Based on this model and the expected lowest temperature with a 10-year recurrence interval, a freeze risk probability map was produced for Hwaseong County, Korea. The results seemed to explain why the vineyards in the warmer part of Hwaseong County have been hit by more freeBe damage than those in the cooler part of the county. A dormancy depth-minimum temperature dual engine freeze warning system was designed for vineyards in major production counties in Korea by combining the site-specific dormancy depth and minimum temperature forecasts with the freeze risk model. In this system, daily accumulation of thermal time since last fall leads to the dormancy state (depth) for today. The regional minimum temperature forecast for tomorrow by the Korea Meteorological Administration is converted to the site specific forecast at a 30m resolution. These data are input to the freeze risk model and the percent damage probability is calculated for each grid cell and mapped for the entire county. Similar approaches may be used to develop freeze warning systems for other deciduous fruit trees.

• Asian-Australasian Journal of Animal Sciences
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• v.14 no.10
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• pp.1400-1404
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• 2001

$Holstein\;{\times}\;indigenous$ multiparous dairy cows were offered diets with increasing roughage neutral detergent fiber (NDF) contents to determine the effects on intake, milk yield and compositions. Roughage NDF contents were 15, 18, 21 and 24% dry matter (DM), and concentrate NDF content was 10% DM. Experimental treatments were isonitrogenous and isocaloric diets. Maximum and minimum temperature humidity index during the experimental period were 85.9 and 76, respectively. Intakes of DM, crude protein and net energy, 4% fat corrected milk, milk protein and average daily gain decreased with increasing roughage NDF contents (p<0.05). Intakes of ether extract (p<0.01) and dietary NDF (p>0.05) and milk fat (p<0.01) increased with increasing roughage NDF contents. The results support the conclusion that higher DM intake, optimal milk yield and compositions can be maintained with lower roughage NDF diets for dairy cows under tropical conditions.

• Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
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• 2003.09a
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• pp.77-81
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• 2003

지구온난화에 따른 "춥지 않은 겨울" 현상 속에서도 온대과수의 동해발생 건수는 오히려 증가하는 기현상이 보고되고 있다 (원예연구소, 2003). 휴면중인 과수는 내동성이 매우 크지만 겨울에서 봄으로 이행하면서 점차 약해진다. 내동성이 매우 큰 사과 품종 Haralson의 경우 한 겨울에 -50도에서도 생존이 가능하지만 봄에는 치사온도가 -8도로 급상승하는데 (Faust, 1989), 그 이유는 혹한에 적응해온 추운 지역 토착품종들은 생육기간을 확보하기 위해 기온이 상승하면 바로 휴면을 깨고 생장을 시작하는 습성을 갖고 있기 때문이다.(중략) 때문이다.(중략)

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.366-366
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• 2020

The drought is one of the extreme natural disasters observed in any climate zone and it is due to the deficiency in moisture. The flash drought is identified recently as a subdivision of drought and it is an extreme event distinguished by sudden onset and rapid intensification of drought conditions with severe impacts. The main cause for the flash drought is coupled situation due to precipitation deficit and high evapotranspiration. Hence, heat waves plays major role in identification of flash drought. Therefore, this study focused on identifying changes in distribution of heat waves for Korean Peninsula. The daily maximum and minimum temperature data were used in this study. The heat wave, heat wave intensity and heat wave intensity index were derived. The results of the study would be an input for the future studies on identification of flash drought in Korean Peninsula.

• Korean Journal of Agricultural and Forest Meteorology
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• v.7 no.2
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• pp.148-155
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• 2005

An accurate prediction of blooming date is crucial for many authorities to schedule and organize successful spring flower festivals in Korea. The Korea Meteorological Administration (KMA) has been using regression models combined with a subjective correction by forecasters to issue blooming date forecasts for major cities. Using mean monthly temperature data for February (observed) and March (predicted), they issue blooming date forecasts in late February to early March each year. The method has been proved accurate enough for the purpose of scheduling spring festivals in the relevant cities, but cannot be used in areas where no official climate and phenology data are available. We suggest a thermal time-based two-step phenological model for predicting the blooming dates of spring flowers, which can be applied to any geographic location regardless of data availability. The model consists of two sequential periods: the rest period described by chilling requirement and the forcing period described by heating requirement. It requires daily maximum and minimum temperature as an input and calculates daily chill units until a pre-determined chilling requirement for rest release. After the projected rest release date, it accumulates daily heat units (growing degree days) until a pre- determined heating requirement for flowering. Model parameters were derived from the observed bud-burst and flowering dates of cherry tree (Prunus serrulata var. spontanea) at KMA Seoul station along with daily temperature data for 1923-1950. The model was applied to the 1955-2004 daily temperature data to estimate the cherry blooming dates and the deviations from the observed dates were compared with those predicted by the KMA method. Our model performed better than the KMA method in predicting the cherry blooming dates during the last 50 years (MAE = 2.31 vs. 1.58, RMSE = 2.96 vs. 2.09), showing a strong feasibility of operational application.

• Journal of Korean Society of Forest Science
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• v.94 no.6
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• pp.370-376
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• 2005

Sarcodon aspratus is well known as a natural edible mushroom and a symbiotic mycorrhizal fungus with oaks. This study was conducted to clarify the effects of environmental conditions on the fruiting of S. aspratus on the hillslope of Wolak Mt., Jecheon city, Chungbuk, South Korea. Soil moisture and soil temperature in S. aspratus colony were measured hourly and compared with those in the non-colony soil. The mean soil moisture during the mushroom development was 14.3% in the colony soil and 16.4% in the non-colony soil. The S. aspratus colony soils showed 2.1% less soil moisture. The mean soil temperature was $16.8^{\circ}C$ in the colony soil and $16.5^{\circ}C$ in the non-colony soil. The S. asprauts colony soils showed slightly higher temperature. It is considered that more soil water was consumed and more energy was emitted during the mycelial elongation and the mushroom development. The development of S. aspratus seems similar to that of T. matsutake which is known to be considerably affected by soil moisture, daily maximum air temperature, daily minimum air temperature and daily minimum soil temperature. The season of S. aspratus development ranges from the end of August to the beginning of October. And Ellino phenomenon and its unusual change in the weather seems to affect primodia and fruiting body development. Especially if daily minimum soil temperature continues to become higher than $20^{\circ}C$, the damage of primodia and its fruiting body was frequently observed in the field plots during the last few years recently.

• Journal of agriculture & life science
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• v.53 no.2
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• pp.121-129
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• 2019

This study carried out to determine control factors for the improvement of productivity of laying hens suffering heat stress during hot weather. A total of 48,451 ISA Brown layers were housed in a farm located in Gyeongsangnam-do, Republic of Korea. Five thermo-hydrometer loggers were installed inside the house to collect data of dry-bulb temperature and relative humidity. The experiment continued for 81 days when the summer season begins from 19th June to 7th September, 2018. This study analyzed the correlations among layers' production index and daily average, highest, and lowest temperature; daily average, highest, and lowest relative humidity; and daily average, minimum, and maximum THI. The result indicated that feed consumption, hen-day egg production, egg weight, and FCR decreased as the daily average, highest and lowest dry-bulb temperature and THI rise (p<0.01). On the other hand, water intake increased as the daily average, highest and lowest dry-bulb temperature and THI rise (p<0.001). The relative humidity was not considered to have direct correlations to the layers' production index (p>0.05). However, it was noticeable that the mortality did not have significant relations with daily average and highest temperature; THI; or daily average, highest and lowest relative humidity while it was relevant to the daily lowest temperature and THI (p<0.05). In conclusion, to enhance the productivity of laying hens in a hot climate, it is recommended that daily average, highest, and lowest dry-bulb temperature and THI are maintained as low as possible. Especially, the daily lowest temperature is needed to lower to 20℃, which is the lowest critical temperature for layers.