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A Forecast Model for Estimating the Infection Risk of Bacterial Canker on Kiwifruit Leaves in Korea

참다래 잎에서의 궤양병 감염 위험도 모형

  • Do, Ki Seok (Research Institute of Climate Change and Agriculture, National Institute of Horticultural and Herbal Science, Rural Development Administration) ;
  • Chung, Bong Nam (Research Institute of Climate Change and Agriculture, National Institute of Horticultural and Herbal Science, Rural Development Administration) ;
  • Joa, Jae Ho (Research Institute of Climate Change and Agriculture, National Institute of Horticultural and Herbal Science, Rural Development Administration)
  • 도기석 (농촌진흥청 국립원예특작과학원 온난화대응농업연구소) ;
  • 정봉남 (농촌진흥청 국립원예특작과학원 온난화대응농업연구소) ;
  • 좌재호 (농촌진흥청 국립원예특작과학원 온난화대응농업연구소)
  • Received : 2015.12.07
  • Accepted : 2016.07.31
  • Published : 2016.09.30

Abstract

A forecast model for estimating the infection risk of bacterial canker caused by Pseudomonas syringae pv. actinidiae on kiwifruit leaves in Korea was developed using the generic infection model of Magarey et al. (2005). Two-way contingency table analysis was carried out to evaluate accuracy of forecast models including the model developed in this study for estimating the infection of bacterial canker on kiwifruit using the weather and disease data collected from three kiwifruit orchards at Seogwipo in 2015. All the tested models had more than 80% of probability of detection indicating that all the tested models could be effective to manage the disease. The model developed in this study showed the highest values in proportion of correct (51.1%), probability of detection (90.9%), and critical success index (47.6%). It indicated that the model developed in this study would be the best model for estimating the infection of bacterial wilt on kiwifruit leaves in Korea. The model developed in this study could be used for a part of decision support system for managing bacterial wilt on kiwifruit leaves and help growers to reduce the loss caused by the disease in Korea.

한국에서 발생하는 참다래 잎에서의 궤양병의 감염위험도를 예측하는 모형을 Magarey 등(2005)의 일반 감염 모형식을 이용하여 개발하였다. 이 연구를 통해 개발한 모형과 뉴질랜드에서 개발된 KVH PSA-V 모형을 2015년 서귀포시 남원읍의 녹색참다래 헤이워드 품종 재배 과원과 표선면과 성산읍 신산리의 황색 참다래 Hort16A 품종 재배 과원들에서 수집된 기상 조사 자료와 병조사 자료를 사용하여 분할표 분석을 통해 평가하였다. 자체 개발한 모형과 뉴질랜드에서 개발한 KVH PSA-V 모형, 감염 판단기준을 31로 조정한 KVH PSA-V 모형들은 실제 병이 일어났을 경우에 감염이 일어났다고 경고하는 비율인 probability of detection값이 모두 80% 이상으로 한국의 참다래 궤양병 방제 의사 결정지원용으로 사용하기에는 충분하였다. 모형이 일어나는 현상을 정확히 예측하는 지표인 proportion of correct는 이 연구를 통해 개발된 감염 위험 예측 모형이 가장 높은 51.1%를 나타내고 실제병이 일어났을 경우에 감염이 일어났다고 경고하는 비율인 probability of detection과 모형의 경고에 따라 방제를 결정하였을 때에 효율성 지표인 critical success index도 각각 가장 높은 수치인 90.9%와 47.6%를 나타내어 한국에서 발생하는 참다래 궤양에 대해서는 KVH PSA-V 모형보다 더 우수한 모형으로 판단되었다. 이 연구를 통해 새로 개발된 모형은 한국의 참다래 재배자들의 궤양병 방제를 위한 의사결정에 도움을 주어 궤양병으로 인한 피해를 줄이는 데에 도움이 될 것이다.

Keywords

References

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