온주밀감에서 귤응애의 이항표본조사법 개발

• 송정흡 (제주도농업기술원 농업환경과) ;
• 이창훈 (제주도농업기술원 농업환경과) ;
• 강상훈 (제주도농업기술원 농업환경과) ;
• 김동환 (제주농업시험장 감귤시험장) ;
• 강시용 (제주대학교 아열대원예산업연구센터) ;
• 류기중 (제주대학교 아열대원예산업연구센터)
• Published : 2001.09.01
• 62 60

Abstract

The density of citrus red mite(CRM), Panonychus citri(McGregor), on the commercial satsuma mandarin Citrus unshiu L. groves were determined by counts of the number of CRM per leaf using by leaf sample in Jeju for 2 years. Binomial sampling plans were developed based on the relationship between the mean density per leaf(m) and the proportion of leaf infested with less than T mites per leaf($P_{T}$), according to the empirical model $ln(m)={\alpha}+{\beta}ln(-ln(1-P_{T}))$. T was defined as tally threshold, and set to 1, 3, 5 and 7 mites per leaf in this study. Increasing sample size, regardless of tally threshold, had little effects on the precision of the binomial sampling plan. Increasing sampling size had little effect on the precision of the estimated mean regardless of tally thresholds. T=1 was chosen as the best tally threshold for estimating densities of CRM based on the precision of the model. The binomial model with T=1 provided reliable predictions of mean densities of CRM observed on the commercial satsuma mandarin groves. Binomial sequential sampling procedure were developed for classifying the density of CRM. A binomial sampling program for decision-making CRM population level based on action threshold of 2 mites per leaf was obtained.