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전체 선택해제
총 67건 검색
본문검색 결과만 보기
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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)
disease warnings at all locations regardless of the sources of weather data. In conclusion, the numerical weather prediction data from KMA could be reliable to apply as input data for plant disease forecast models. Weather prediction data would facilitate applications of weather-driven disease models for better disease management. Crop growers would have better options for disease control including both protective and curative measures when weather prediction data are used for disease warning. -
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 -
Error Forecasting Using Linear Regression Model
Lian Guey Ler, Byung Sik Kim, Gye Woon Choi, Byung Hwa Kang, Jung Jae Kwang 한국습지학회 한국습지학회지 11 Pages
한국습지학회 한국습지학회지 2011, Vol.13 No.1 2 13-23 (11 pages)
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FLASH FLOOD FORECASTING USING REMOTELY SENSED INFORMATION AND NEURAL NETWORKS PART II : MODEL APPLICATION
Kim. Gwang-seob, Lee. Jong-Seok 한국수자원학회 Water engineering research : international journal of KWRA 12 Pages
한국수자원학회 Water engineering research : international journal of KWRA 2002, Vol.3 No.2 123-134 (12 pages)
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FLASH FLOOD FORECASTING USING ReMOTELY SENSED INFORMATION AND NEURAL NETWORKS PART I : MODEL DEVELOPMENT
Kim. Gwang-seob, Lee. Jong-Seok 한국수자원학회 Water engineering research : international journal of KWRA 10 Pages
한국수자원학회 Water engineering research : international journal of KWRA 2002, Vol.3 No.2 113-122 (10 pages)
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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)
in fields. In 2020, a severe rice blast disease occurred nationwide in Korea. We evaluated the incidence of rice blast disease in Yeo- ju and compared the weather conditions at the periods of rice blast disease in 2019 and 2020. We investigated the races and avirulence genes of rice blast isolates in Yeoju to identify race diversity and genetic character- istics of the isolates. This study will provide empirical support for rice blast control and the breeding of blast- resistant rice cultivars. -
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)
To preventively control fire blight 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... -
A Procedure for Inducing the Occurrence of Rice Seedling Blast in Paddy Field
Peng Qin, Xiaochun Hu, Nan Jiang, Zhenan Bai, Tiangang Liu, Chenjian Fu, Yongbang Song, Kai Wang, Yuanzhu Yang 한국식물병리학회 The Plant Pathology Journal 4 Pages
한국식물병리학회 The Plant Pathology Journal 2021, 37권 2호 11 200-203 (4 pages)
Rice blast caused by the filamentous fungus Magna- porthe oryzae, is arguably the most devastating rice disease worldwide. Development of a high-throughput and reliable field blast resistance evaluation system is essential for resistant germplasm screening, resistance genes identification and resistant varieties breeding. However, the occurrence of rice blast in paddy field is easily affected by various factors, particularly lack of sufficient inoculum, which always leads to the non- uniform... -
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)
Early warning services for crop diseases are valuable when they provide timely forecasts that farmers can utilize to inform their disease management decisions. In South Korea, collaborative disease controls that utilize unmanned aerial vehicles are commonly performed for most rice paddies. However, such controls could benefit from seasonal disease early warnings with a lead time of a few months. As a first step to establish a seasonal disease early warning service using seasonal climate...
