한국농림기상학회지 (Korean Journal of Agricultural and Forest Meteorology)

  • 제24권4호
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  • Pages.305-317
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  • 2022
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  • 1229-5671(pISSN)
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  • 2288-1859(eISSN)
한국농림기상학회 (Korean Society of Agricultural and Forest Meteorology)
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배 화상병 종합적 방제를 위한 Maryblyt 활용 방안 연구

A Maryblyt Study to Apply Integrated Control of Fire Blight of Pears in Korea

  • 남궁경봉 (선문대학교 제약생명공학과) ;
  • 윤성철 (선문대학교 제약생명공학과)
  • Kyung-Bong, Namkung (Department of Pharmaceutical Engineering and Biotechnology, Sunmoon University) ;
  • Sung-Chul, Yun (Department of Pharmaceutical Engineering and Biotechnology, Sunmoon University)
  • 투고 : 2022.08.26
  • 심사 : 2022.11.21
  • 발행 : 2022.12.30
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초록

배 화상병의 성공적 방제를 위해 2018년부터 2022년까지 우리나라 중부지방의 주요 발병지와 남부지방의 미발병 주산지 주요지점 25곳에 대한 Maryblyt를 구동하여 꽃감염 위험도를 조사하였다. 최근 5년 중 2019년과 2022년 개화기간 중 꽃감염 위험도가 가장 높았다. 한편, 개화기간 중 최적의 꽃감염 방제 처리는 High 경보 다음날에 방제하고, 강우예보를 발령한 전날 방제하는 처리가 배 꽃감염을 낮추는 것으로 평가하였다. 월동 궤양으로부터 활성화된 궤양이 병징을 보일 것으로 Maryblyt가 예측한 날은 대략 중부지방 기준 5월 중순이었는데 이때부터 현장에서 궤양 모니터링을 개시하도록 권장하였다. 천안, 이천, 상주, 나주 등 4곳의 배 과수원에 설치한 영상자료로부터 배 개화기간을 이론적으로 계산한 값과 실제 관측한 값의 차이점을 비교한 결과 남부지방은 이론치나 실측치보다 늘 빠르게 개화를 예측하므로 재조정이 필요하였다. 향후 현장 관리자와 농민들로부터 과원에서 관측한 기상, 기주인 과수, 병징 출현일 등의 정보들이 축적된다면 발병 예측 모델은 현재보다 더 정확한 정보를 제공할 수 있을 것으로 기대된다.

To investigate the blossom infection risk of fire blight on pears, the program Maryblyt has been executed from 2018 to 2022 based on meteorological data from central-Korean cities where fire blight has occurred as well as from southern Korean cities where the disease has not yet occurred. In the past five years, years with the highest risk of pear blossom blight were 2022 and 2019. To identify the optimal time for spraying, we studied the spray mode according to the Maryblyt model and recommend spraying streptomycin on the day after a "High" warning and then one day before forecasted precipitation during the blossom period. Maryblyt also recommends to initiate surgical controls from mid-May for canker blight symptoms on pear trees owing to over-wintering canker in Korea. Web-cam pictures from pear orchards at Cheonan, Icheon, Sangju, and Naju during the flowering period of pear trees were used for comparing real data and constructing a phenological model. The actual starting dates of flowering at southern cities such as Sangju and Naju were consistently earlier than those calculated by the model. It is thus necessary to improve the forecasting model to include field risks by recording the actual flowering period and the first day of the fire blight symptoms, according to the farmers, as well as mist or dew-fall, which are not easily identifiable from meteorological records.

키워드

과제정보

본 논문은 농촌진흥청 연구개발사업 (과제번호: PJ015302032021)의 지원에 의해 이루어진 것임.

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