Research in Plant Disease (식물병연구)

The Korean Society of Plant Pathology (한국식물병리학회)
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Development of Sequential Sampling Plan for Bacterial Leaf Blight of Garlic by Cluster Sampling

클러스터 조사에 의한 마늘 세균점무늬병의 축차표본조사법 개발

  • Song, Jeong Heub (Division of Sustainable Agricultural Research, Jeju Agricultural Research and Extension Services) ;
  • Yang, Cheol Joon (Division of Sustainable Agricultural Research, Jeju Agricultural Research and Extension Services) ;
  • Yang, Young Taek (Division of Sustainable Agricultural Research, Jeju Agricultural Research and Extension Services) ;
  • Shim, Hong Sik (Crop Protection Division, Department of Crop Life Safety, National Institute of Agricultural Science) ;
  • Jwa, Chang Sook (Division of Sustainable Agricultural Research, Jeju Agricultural Research and Extension Services)
  • 송정흡 (제주특별자치도농업기술원 친환경연구과) ;
  • 양철준 (제주특별자치도농업기술원 친환경연구과) ;
  • 양영택 (제주특별자치도농업기술원 친환경연구과) ;
  • 심홍식 (국립농업과학원 작물보호과) ;
  • 좌창숙 (제주특별자치도농업기술원 친환경연구과)
  • Received : 2015.08.28
  • Accepted : 2015.10.23
  • Published : 2015.12.31
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Abstract

Bacterial leaf blight caused by Pseudomonas syringae pv. porri is one of the major bacterial diseases of garlic (Allium sativum). In South Korea, the disease has only been observed in garlic-growing regions of Jeju island. The spatial distribution pattern of the disease was analyzed by binary power law, in which the natural logarithm of the observed variance is regressed on the natural logarithm of the binomial variance. The estimated slope (b=1.361) of the regression was greater than 1 which meant that the diseased plants were aggregated. The sequential sampling plans were developed for estimating the mean incidence rate ($p_m$) and classifying the mean incidence as being below or above the critical incidence rate ($p_t$). These results could be used on more efficient and higher precisive sampling for bacterial blight of garlic compared to fixed sample sized sampling.

마늘 세균점무늬병은 국내에서 제주지역 난지형 마늘에서 Pseudomonas syringae pv. morri에 의해 발생하는 세균병해로 주요 병해 중 하나이다. 본 연구는 자연로그를 취한 이항분산에 대한 관측분산의 회귀모델인 binary power law를 이용하여 포장 내 병 발생의 공간분포 특성을 분석하였다. 회귀식의 기울기(b) 값이 1.361로 기준치인 1보다 커 세균점무늬병은 공간적으로 집중분포하고 있었다. 축차표본조사법은 평균이병주율($p_m$)의 추정과 요방제수준($p_t$) 이상 또는 이하 여부를 판단할 수 있도록 개발하였다. 본 연구결과는 기존의 조사지점수 고정 조사 방법에 비해 조사비용 면에서 더 효율적인 동시에 조사결과의 정확도를 더 높일 수 있을 것으로 판단된다.

Keywords

References

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