• Korean Journal of Plant Resources
• /
• v.30 no.5
• /
• pp.549-555
• /
• 2017

The production of ginseng cultivation is decreasing due to shortage of cultivated land and climate change, so additional methods are needed. Therefore, the physiological and morphological characteristics of finebubble were analyzed by applying them to ginseng cultivation which is the representative crop of Korea. The application of fine bubble water to 2 year old ginseng showed that stem length and leaf were increased, and weight increased as main root increased in root. In particular, it is shown that the weight of roots increases with the increase of leaf size. This is because the total chlorophyll content is high and it is judged to be related to the increase of photosynthesis efficiency. When the results of this study were confirmed, it was confirmed that ginseng cultivation using fine bubbles showed no inhibition of growth of ginseng. According to the results of physiological characteristics and subdividing results, It was confirmed that the growth of about 10% to 15% of the growth was increased and that the growth of ginseng was increased by applying the fine bubble when growing ginseng.

• Korean Journal of Agricultural and Forest Meteorology
• /
• v.13 no.3
• /
• pp.115-122
• /
• 2011

The impacts of elevated temperature and $CO_2$ were studied on the seedlings of Maackia amurensis and Viburnum opulus var. calvescens. The seedlings were grown in controlled-environment growth chambers with four combinations of temperature and $CO_2$ treatments: $25^{\circ}C$ + ambient $CO_2$ (400 ppm), $25^{\circ}C$ + elevated $CO_2$ (800 ppm), $30^{\circ}C$ + ambient $CO_2$ (400 ppm), and $30^{\circ}C$ + elevated $CO_2$ (800 ppm). Under elevated temperature and $CO_2$ concentration, the dry weight decreased in seedlings of M. amurensis, but increased in seedlings of V. opulus var. calvescens. In addition, the shoot to root (S/R) ratio in M. amurensis reduced but that of V. opulus var. calvescens increased under elevated $CO_2$ concentration. The S/R ratios of two tree species increased under higher temperature. M. amurensis represented lower carboxylation efficiency under higher temperature and $CO_2$ concentration and that of V. opulus var. calvescens showed lower values under the only higher temperature. Photosynthetic pigment content of in the leaves of M. amurensis was lower under higher $CO_2$ concentration and higher under the increase of temperature, but that of V. V. opulus var. calvescens decreased according to the increase of temperature. Chlorophyll a/b ratios of M. amurensis and V. V. opulus var. calvescens decreased obviously with the increase of $CO_2$ concentration and temperature, respectively. In conclusion, the growth and physiological responses under the environmental changes such as temperature and $CO_2$ concentration depend on the tree species. Therefore, more studies are needed to predict the response of each tree species against the climate changes.

• KOREAN POULTRY JOURNAL
• /
• v.41 no.6
• /
• pp.98-102
• /
• 2009

닭의 피부는 땀샘(汗腺)이 없어서 증산작용으로 체온발산이 불가능하기 때문에 고온의 환경하에서는 입을 벌려 헐떡거림(panting)을 위주로 체온을 발산시키고, 일부는 볏, 고기수염, 얼굴 등을 통하여 증발작용을 한다. 특히 육계는 증체가 빠르고 이를 뒷받침하기 위한 체내 대사가 활발하기 때문에 여름철을 슬기롭게 대처하기 위한 세심한 주의가 요구된다. 우리나라와 같이 여름철 고온다습(高溫多濕)한 기후조건에서 계사 환경온도 유지가 어렵고, 열 스트레스를 줄이는 것이 쉽지 않다. 농장주는 여름철 더위에 의한 생산성 저하는 물론이고, 짧은 시간에 닥칠 수도 있는 혹서기 대량폐사를 막기 위하여 외부환경 변화상황을 주지하고서 각자가 소유하고 있는 계사의 환경과 닭의 상태를 주의 깊게 관찰함은 물론 피해를 최소한으로 감소시키기 위한 나름대로의 노하우를 가지고 대처하지 않으면 애써 노력한 결과가 혹서기 잠깐 사이에 큰 피해를 초래할 수도 있다는 인식을 가지고 있어야 한다. 환경온도와 상대습도 등의 생활에 큰 영향을 미친다. 환경온도, 상대습도 등이 닭의 생리에 미치는 영향을 알아보고 혹서기와 우기에 닭 사양관리를 알아보자.

• Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
• /
• 2019.08a
• /
• pp.234-235
• /
• 2019

• Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
• /
• 2014.10a
• /
• pp.105-107
• /
• 2014

• Feed Journal
• /
• v.4 no.7 s.35
• /
• pp.108-115
• /
• 2006

우리나라는 사계절이 뚜렷한 기후적 환경으로 여름철 한낮의 외부온도가 35℃ 이상이 되는 날이 계속되고, 야간에도 25℃ 이상인 열대야가 지속되는 날이 많다. 이러한 조건하에서 양돈 생산성 향상을 위해서는 돼지의 사육환경과 성장단계별 적절한 사양기술을 투입하여야만 한다. 돼지는 생리적으로 추위에 의한 영향보다는 여름철 더위에 의한 영향을 쉬게 받으며, 이로 인해 자돈의 쇠약, 압사,수태율 저하, 번식장애 등으로 생산성 저하의 원인이 되며, 사육기간 중에 일시적인 고온스트레스가 돼지가 생존하는 동안 능력의 저하를 초래하게 된다. 특히 하절기 양돈장은 우기와 무더위로 인한 돈사내 온도의 급상승과 더불어 습도의 불균형에 의한 환경적 스트레스로 번식능력과 생산성에 크게 영향을 미칠 수 있으며,돼지에 일시적인 고온 스트레스 피해는 장기간 계속되며, 생존하는 동안 능력저하를 초래하기 때문에 농장별 사육여건에 따른 성장저해 요인을 제거하는 안목이 필요한 계절이다. 즉,5~9월 모돈에 고온스트레스가 가해지면 11~12월, 다음해 1월 모돈의 분만율은 최저가 되고 , 이 시기에 생산된 자돈은 추운겨울을 이겨내야 함으로 육성률도 낮아지며, 이로 인해 4~7월의 출하성적은 최저가 되는 것이다. 따라서 모돈 관리는 5~9월이 집중관리가 필요한 시기이기도 하다. 고온 다습한 환경 하에서 어미돼지는 영양불균형과 생체리듬의 파괴로 인하여 신생자돈의 폐사가 증가할 수도 있고,이유 후 1주일 이내 발정 재귀율이 약 30%정도 감소하고 무발정돈이 많이 발생되며, 수태가 되어도 조기 배아사멸 및 흡수로 인하여 수태율이 25%까지 감소될 수 있다. 현재 국내 양돈농가에는 예년과 같이 돼지 조모성질환의 발생이 늘어나고 있고, 어려움을 겪고 있는 농장이 많은 것으로 조사 보고되어지고 있는데, 이는 농장에 사육되는 돈군이 외부환경에 대한 적응능력과 질병에 저항력이 부족하여 쉽게 질병에 노출되어 발생함으로 농장에는 돼지가 스트레스를 받지 않게 외부 환경과 사양관리 측면에 심혈을 기울려 강건한 축군을 유지하려는 노력이 무엇보다 우선되어져야 한다고 생각된다. 따라서 본고에서는 여름철에 돼지 스트레스를 줄이고 생산성을 향상시키기 위해 돼지의 생리변화와 돈사 급수설비와 사료관리 및 사육관리에 대해 알아보고자 한다.

• Korean Journal of Agricultural and Forest Meteorology
• /
• v.18 no.4
• /
• pp.298-306
• /
• 2016

Planting date shift is one of the means of adapting to climate change in Kimchi Cabbage growers in major production areas in Korea. This study suggests a method to estimate the potential yield of Kimchi Cabbage based on daily temperature accumulation during the growth period from planting to maturity which is determined by a plant phenology model tuned to Kimchi Cabbage. The phenology model converts any changes in the thermal condition caused by the planting date shift into the heat unit accumulation during the growth period, which can be calculated from daily temperatures. The physiological maturity is estimated by applying this model to a variable development rate function depending either on growth or heading stage. The cabbage yield prediction model (Ahn et al., 2014) calculates the potential yield of summer cabbage by accumulating daily heat units for the growth period. We combined these two models and applied to the 1km resolution climate scenario (2000-2100) based on RCP8.5 for South Korea. Potential yields in the current normal year (2001-2010) and the future normal year (2011-2040, 2041-2070, and 2071-2100) were estimated for each grid cell with the planting dates of July 1, August 1, September 1, and October 1. Based on the results, we divided the whole South Korea into 810 watersheds, and devised a three - dimensional evaluation chart of the time - space - yield that enables the user to easily find the optimal planting date for a given watershed. This method is expected to be useful not only for exploring future new cultivation sites but also for developing cropping systems capable of adaptation to climate change without changing varieties in existing production areas.

• Korean Journal of Environmental Biology
• /
• v.37 no.1
• /
• pp.82-87
• /
• 2019

Global warming has a significant impact on diverse ecosystems including agroecosystem through; changing of phenology, physiology and distribution. Monitoring of biological responses emanating from global warming is required to understand the challenges of biological diversity conservation posed by climate change. The Korean government selected four butterfly species as indicators of climate change in agroecosystem: Papilio xuthus, Pieris rapae, Colias erate, and Eurema mandarina. The aim of this study was to investigate the different monitoring methods of the butterflies in Korea and suggest a suitable monitoring method to track the population trends of butterflies in the agroecosystem. Butterfly monitoring was conducted in eight sites throughout Korea from April to October, 2018 using three survey methods: point census at rice paddy area, point census at the border between rice paddy and hill and line transect along the rice paddy and hill. Each method took approximately 30 min. to count the butterflies. A total of 4,691 butterflies and 92 species were counted: The most dominant species was Pieris rapae with a total count of 1,205 individuals followed by Polygonia c-aureum, Zizeeria maha, Colias erate, Cupido argiades and Papilio xuthus. Among the three census methods, the total number of species and individuals when using line transect method was statistically higher than in the other methods. However, the numbers of the four butterflies indicators showed no difference throughout three census methods. Based on the number of species and the total individuals butterflies in agroecosystem, we advocate for the application of line transect method as it can find more butterflies in agroecosystem. In addition, we advised for the implementation of education programs on the line transect method in butterfly identification to participants of the national monitoring program.

• Korean journal of applied entomology
• /
• v.52 no.4
• /
• pp.295-304
• /
• 2013

This study aimed to understand the physiological status of the beet armyworm, Spodoptera exigua at low developmental threshold temperature (LTT) through analysis of gene-expression patterns associated with different functions (metabolism, nervous system, immune, and stress). The estimated LTTs for egg, larval, and pupal developments varied with $5.5{\sim}11.6^{\circ}C$. Larvae were able to develop at the lower temperatures than eggs and pupae. However, the physiological LTT ($15^{\circ}C$) in the fifth instar was much higher than the estimated LTT ($10.3^{\circ}C$). Gene expression patterns estimated by a quantitative RT-PCR (qRT-PCR) indicate that most genes in different functional groups increased their expressions with increase of larval instars. In the same fifth instar, as the treatment temperatures increased, the gene expression levels increased. Moreover, the newly molted fifth instar larvae were different in their gene expression rates according to their previous culturing temperatures. Most gene expressions were suppressed in the fifth instar larvae at the physiological LTT ($15^{\circ}C$). However, the larvae at $15^{\circ}C$ gradually exhibited significant increase in the gene expression rates with rearing time just like those at the higher temperature. These results suggest that S. exigua at LTT exhibits a typical gene expression pattern with maintaining significantly suppressed levels.

• Korean Journal of Agricultural and Forest Meteorology
• /
• v.21 no.1
• /
• pp.29-41
• /
• 2019

Terrestrial Gross Primary Production (GPP) is the largest global carbon flux, and forest ecosystems are important because of the ability to store much more significant amounts of carbon than other terrestrial ecosystems. There have been several attempts to estimate GPP using mechanism-based models. However, mechanism-based models including biological, chemical, and physical processes are limited due to a lack of flexibility in predicting non-stationary ecological processes, which are caused by a local and global change. Instead mechanism-free methods are strongly recommended to estimate nonlinear dynamics that occur in nature like GPP. Therefore, we used the mechanism-free machine learning techniques to estimate the daily GPP. In this study, support vector machine (SVM), random forest (RF) and artificial neural network (ANN) were used and compared with the traditional multiple linear regression model (LM). MODIS products and meteorological parameters from eddy covariance data were employed to train the machine learning and LM models from 2006 to 2013. GPP prediction models were compared with daily GPP from eddy covariance measurement in a deciduous forest in South Korea in 2014 and 2015. Statistical analysis including correlation coefficient (R), root mean square error (RMSE) and mean squared error (MSE) were used to evaluate the performance of models. In general, the models from machine-learning algorithms (R = 0.85 - 0.93, MSE = 1.00 - 2.05, p < 0.001) showed better performance than linear regression model (R = 0.82 - 0.92, MSE = 1.24 - 2.45, p < 0.001). These results provide insight into high predictability and the possibility of expansion through the use of the mechanism-free machine-learning models and remote sensing for predicting non-stationary ecological processes such as seasonal GPP.