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Measurement of $ extrm{CO}_2$ Concentration and Leaf Area Index for Crop Photosynthesis Model in Sweet Pepper
Lee. Beom-Seon, Chung. Soon-Ju, Jang. Hong-Gi 한국생물환경조절학회 생물환경조절학회지 10 Pages
한국생물환경조절학회 생물환경조절학회지 1999, Vol.8 No.3 192-201 (10 pages)
본 연구는 ASKAM모델로 $CO_2$, 광 및 엽면적지수가 단고추의 동적 광합성율에 추정가능성을 평가하기 위하여 수행되었다 $CO_2$ 농도는 2구획으로 구분된 반밀폐된 생장상에서 3수준 (400, 700 or 1000$mu$mo1 mol$^{-1}$)으로 조절하였다. 온도와 습도는 21$^{circ}C$ 및 80-95%로 조절하였고, 양액이 순환되는 용기내에서 재배하였다. 일태양복사, 온도 및 $CO_2$농도의 단기 자료를 기초로 하여 일중 단기간격에 대한 작물 순$CO_2$흡수량를 ASKAM모델로 추정하였고, 광합성 측정 중 각 구획과 기부에서의 $CO_2$농도를 매분마다... -
The Efficacy of Shikonin on Cartilage Protection in a Mouse Model of Rheumatoid Arthritis
YoungOckKim, SeungJaeHong, Sung-VinYim 대한생리학회-대한약리학회 The Korean Journal of Physiology & Pharmacology 6 Pages
대한생리학회-대한약리학회 The Korean Journal of Physiology & Pharmacology 2010, Vol.14 No.4 1 199-204 (6 pages)
The potential therapeutic action of shikonin in an experimental model of rheumatoid arthritis (RA) was investigated. As a RA animal model, DBA/1J mice were immunized two times with type II collagen. After the second collagen immunization, mice were orally administered shikonin (2 mg/kg) once a day for 35 days, and the incidence, clinical score, bone mineral density (BMD), bone mineral content (BMC) and joint histopathology were evaluated. BMD in the proximal regions of the tibia largely... -
Application of the Maryblyt Model for the Infection of Fire Blight on Apple Trees at Chungju, Jecheon, and Eumsung during 2015-2020
Mun-Il Ahn, Sung Chul Yun 한국식물병리학회 The Plant Pathology Journal 12 Pages
한국식물병리학회 The Plant Pathology Journal 2021, 37권 6호 5 543-554 (12 pages)
in apple trees and determine policies regarding field monitoring, the Ma- ryblyt ver. 7.1 model (MARYBLYT) was evaluated in the cities of Chungju, Jecheon, and Eumseong in Korea from 2015 to 2020. The number of blossom infection alerts was the highest in 2020 and the lowest in 2017 and 2018. And the common feature of MARYBLYT blossom infection risks during the flowering period was that the time of BIR-High or BIR-Infection alerts was the same regardless of location. The flowering periods of the... -
Development of a Daily Epidemiological Model of Rice Blast Tailored for Seasonal Disease Early Warning in South Korea
Kwang-Hyung Kim, Imgook Jung 한국식물병리학회 The Plant Pathology Journal 12 Pages
한국식물병리학회 The Plant Pathology Journal 2020, 36권 5호 3 406-417 (12 pages)
and subsequently validated using the data from another rice blast experiment conducted in Icheon, South Korea, from 1974 to 2000. The sensitivity of the model to air temperature, relative humidity, and precipitation input variables was examined, and the relative humidity resulted in the most sensitive response from the model. Overall, our results indicate that the EPIRICE Daily Risk Model can be used to produce potential disease risk predictions for the seasonal disease early warning service. -
MBCAST: A Forecast Model for Marssonina Blotch of Apple in Korea
Hyo-suk Kim, Jung-hee Jo, Wee Soo Kang, Yun Su Do, Dong Hyuk Lee, Mun-Il Ahn, Joo Hyeon Park, Eun Woo Park 한국식물병리학회 The Plant Pathology Journal 13 Pages
한국식물병리학회 The Plant Pathology Journal 2019, 35권 6호 5 585-597 (13 pages)
A disease forecast model for Marssonina blotch of apple was developed based on field observations on airborne spore catches, weather conditions, and disease incidence in 2013 and 2015. The model consisted of the airborne spore model (ASM) and the daily infection rate model (IRM). It was found that more than 80% of airborne spore catches for the experiment period was made during the spore liberation period (SLP), which is the period of days of a rain event plus the following 2 days. Of 13... -
A Model to Explain Temperature Dependent Systemic Infection of Potato Plants by Potato virus Y
한국식물병리학회 The Plant Pathology Journal 6 Pages
한국식물병리학회 The Plant Pathology Journal 2017, 33권 2호 12 206-211 (6 pages)
degree days. A systemic infection model was constructed based on experimental data, using the infection rate (Lactin-2 model) and the infection distribution (three-parameter Weibull function) models, which accurately described the completion rate curves to systemic infection and the cumulative distributions obtained in the PVY-potato system, respectively. Therefore, this model was useful to predict the progress of systemic infections by PVY in potato plants, and to construct the epidemic models. -
D-PSA-K: A Model for Estimating the Accumulated Potential Damage on Kiwifruit Canes Caused by Bacterial Canker during the Growing and Overwintering Seasons
한국식물병리학회 The Plant Pathology Journal 8 Pages
한국식물병리학회 The Plant Pathology Journal 2016, 32권 6호 6 537-544 (8 pages)
We developed a model, termed D-PSA-K, to estimate the accumulated potential damage on kiwifruit canes caused by bacterial canker during the growing and overwintering seasons. The model consisted of three parts including estimation of the amount of necrotic lesion in a non-frozen environment, the rate of necrosis increase in a freezing environment during the overwintering season, and the amount of necrotic lesion on kiwifruit canes caused by bacterial canker during the overwintering and growing... -
Altering Conidial Dispersal of Alternaria solani by Modifying Microclimate in Tomato Crop Canopy
한국식물병리학회 The Plant Pathology Journal 11 Pages
한국식물병리학회 The Plant Pathology Journal 2016, 32권 6호 3 508-518 (11 pages)
(P ; 0.05) but negative correlation with conidial dispersal. The objective of the study was to modify microclimatic conditions of tomato crop canopy which may hamper conidial dispersal and reduce disease severity. We evaluated effect of marigold intercropping and plastic mulching singly and in consortia on A. solani conidial density, tomato leaf damage and microclimatic parameters as compar to tomato alone (T). Tomato-marigold intercropping–plastic mulching treatment (T + M + P) showed... -
BGRcast: A Disease Forecast Model to Support Decision-making for Chemical Sprays to Control Bacterial Grain Rot of Rice
한국식물병리학회 The Plant Pathology Journal 13 Pages
한국식물병리학회 The Plant Pathology Journal 2015, 31권 4호 4 350-362 (13 pages)
grain rot (BGR) of rice, which is caused by Burkholderia glumae, was developed in this study. The model, which was named ‘BGRcast’, determined daily conduciveness of weather conditions to epidemic development of BGR and forecasted risk of BGR development. All data that were used to develop and validate the BGRcast model were collected from field observations on disease incidence at Naju, Korea during 1998?2004 and 2010. In this study, we have proposed the environmental conduciveness as a...


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