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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)
developed the EPIRICE Daily Risk Model for rice blast by extracting and modifying the core infection algorithms of the EPIRICE model. The daily risk scores generated by the EPIRICE Daily Risk Model were successfully converted into a realistic and measurable disease value through statistical analyses with 13 rice blast incidence datasets, 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... -
Application of Numerical Weather Prediction Data to Estimate Infection Risk of Bacterial Grain Rot of Rice in Korea
Hyo-suk Kim, Ki Seok Do, Joo Hyeon Park, Wee Soo Kang, Yong Hwan Lee, Eun Woo Park 한국식물병리학회 The Plant Pathology Journal 13 Pages
한국식물병리학회 The Plant Pathology Journal 2020, 36권 1호 5 54-66 (13 pages)
the Unified Model (UM) for plant disease forecast. Using the UM06- and UM18-predicted weather data, which were released at 0600 and 1800 Universal Time Coordinated (UTC), respectively, by the Korea Meteorological Administration (KMA), disease forecast on bacterial grain rot (BGR) of rice was examined as compared with the model output based on the automated weather stations (AWS)-observed weather data. We analyzed performance of BGRcast based on the UM-predicted and the AWS-observed daily minimum... -
A Web-based Information System for Plant Disease Forecast Based on Weather Data at High Spatial Resolution
한국식물병리학회 The Plant Pathology Journal 12 Pages
한국식물병리학회 The Plant Pathology Journal 2010, 26권 1호 6 37-48 (12 pages)
This paper describes a web-based information system for plant disease forecast that was developed for crop growers in Gyeonggi-do, Korea. The system generates hourly or daily warnings at the spatial resolution of 240 m -
Establishment of a standard operating procedure for predicting the time of calving in cattle
Dominik Streyl, Carola Sauter-Louis, Anna Braunert, Dorothee Lange, Frank Weber, Holm Zerbe 대한수의학회 Journal of Veterinary Science 10 Pages
대한수의학회 Journal of Veterinary Science 2011, 제 12권 제 2호 11 177-186 (10 pages)
Precise calving monitoring is essential for minimizing the effects of dystocia in cows and calves. We conducted two studies in healthy cows that compared seven clinical signs (broad pelvic ligaments relaxation, vaginal secretion, udder hyperplasia, udder edema, teat filling, tail relaxation, and vulva edema) alone and in combination in order to predict the time of parturition. The relaxation of the broad pelvic ligaments combined with teat filling gave the best values for predicting either... -
Excitability scores of goats administered ascorbic acid and transported during hot-dry conditions
J. O. Ayo, N. S. Minka, M. Mamman1 대한수의학회 Journal of Veterinary Science 5 Pages
대한수의학회 Journal of Veterinary Science 2006, 제 7권 제 2호 6 127-131 (5 pages)
In this study, we investigated the effect of ascorbic acid (AA) administration on goat excitability due to transportation. Ten goats administered AA (p.o.) at 100 mg/kg of body weight before transportation served as the experimental group, and seven goats administered only 10 ml/kg of sterile water (p.o.) served as controls. Excitability scores were recorded for each goat; when weighed, before, immediately after, and 3 h after 8 h of transportation. A score of one to four was allocated to each... -
Outbreak of Rice Blast Disease at Yeoju of Korea in 2020
Hyunjung Chung, Da Gyeong Jeong, Ji-Hyun Lee, In Jeong Kang, Hyeong-Kwon Shim, Chi Jung An, Joo Yeon Kim, Jung-Wook Yang 한국식물병리학회 The Plant Pathology Journal 6 Pages
한국식물병리학회 The Plant Pathology Journal 2022, 38권 1호 5 46-51 (6 pages)
Rice blast is the most destructive disease threatening stable rice production in rice-growing areas. Cultiva- tion of disease-resistant rice cultivars is the most effec- tive way to control rice blast disease. However, the rice blast resistance is easy to breakdown within years by blast fungus that continually changes to adapt to new cultivars. Therefore, it is important to continuously monitor the incidence of rice blast disease and race differentiation of rice blast fungus in fields. In 2020,... -
Control Efficacy of Bacillus velezensis AFB2-2 against Potato Late Blight Caused by Phytophthora infestans in Organic Potato Cultivation
Min Jeong Kim, Chang Ki Shim, Jong-Ho Park 한국식물병리학회 The Plant Pathology Journal 16 Pages
한국식물병리학회 The Plant Pathology Journal 2021, 37권 6호 8 580-595 (16 pages)
strain were searched in the NCBI GenBank; Bacillus siamensis strain KCTC 13613, Bacillus velezensis strain CR-502, and Bacillus amylo- liquefaciens strain DSM7 were found to have a genetic similarity of 99.7%, 99.7%, and 99.5%, respectively. The AFB2-2 strain was found to harbor the biosynthet- ic genes for bacillomycin D, iturin, and surfactin. Ob- tained data recommended that the B. velezensis AFB2- 2 strain could be considered as a promising biocontrol agent for P. infestans in the field. -
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)
blight symptoms presented by MARYBLYT and the date of actual symptom detection was only 1-3 days, implying that MARYBLYT is highly accurate. As the model was originally developed based on data obtained from the eastern region of the United States, which has a climate similar to that of Korea, this model can be used in Korea. To improve field utilization, however, the entire flowering period of multiple apple varieties needs to be considered when the model is applied. MA- RYBLYT is believed to be... -
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)
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 rain-related weather variables, number of rainy days with rainfall ≥ 0.5 mm per day (Lday), maximum hourly rainfall (Pmax) and average daily maximum wind speed (Wavg) during... -
An Integrated Modeling Approach for Predicting Potential Epidemics of Bacterial Blossom Blight in Kiwifruit under Climate Change
Kwang-Hyung Kim, Young Jin Koh 한국식물병리학회 The Plant Pathology Journal 14 Pages
한국식물병리학회 The Plant Pathology Journal 2019, 35권 5호 7 459-472 (14 pages)
The increasing variation in climatic conditions under climate change directly influences plant-microbe interactions. To account for as many variables as possible that may play critical roles in such interactions, the use of an integrated modeling approach is necessary. Here, we report for the first time a local impact assessment and adaptation study of future epidemics of kiwifruit bacterial blossom blight (KBB) in Jeonnam province, Korea, using an integrated modeling approach. This study...
