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http://dx.doi.org/10.5423/RPD.2015.21.4.268

Development of Sequential Sampling Plan for Bacterial Leaf Blight of Garlic by Cluster Sampling  

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)
Publication Information
Research in Plant Disease / v.21, no.4, 2015 , pp. 268-272 More about this Journal
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.
Keywords
Bacterial leaf blight; Binomial power law; Garlic; Sequential sampling plan;
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