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Feasible sampling plan for Bemisia tabaci control decision‐making in watermelon fields
Author(s) -
Lima Carlos HO,
Sarmento Renato A,
Pereira Poliana S,
Galdino Tarcísio VS,
Santos Fábio A,
Silva Joedna,
Picanço Marcelo C
Publication year - 2017
Publication title -
pest management science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.296
H-Index - 125
eISSN - 1526-4998
pISSN - 1526-498X
DOI - 10.1002/ps.4621
Subject(s) - sampling (signal processing) , pest analysis , economic threshold , statistics , integrated pest management , negative binomial distribution , plan (archaeology) , whitefly , acceptance sampling , biology , toxicology , mathematics , agronomy , sample size determination , computer science , ecology , botany , poisson distribution , paleontology , filter (signal processing) , computer vision
BACKGROUND The silverleaf whitefly Bemisia tabaci is one of the most important pests of watermelon fields worldwide. Conventional sampling plans are the starting point for the generation of decision‐making systems of integrated pest management programs. The aim of this study was to determine a conventional sampling plan for B. tabaci in watermelon fields. RESULTS The optimal leaf for B. tabaci adult sampling was the 6 th most apical leaf. Direct counting was the best pest sampling technique. Crop pest densities fitted the negative binomial distribution and had a common aggregation parameter ( K common ). The sampling plan consisted of evaluating 103 samples per plot. This sampling plan was conducted for 56 min, costing US$ 2.22 per sampling and with a 10% maximum evaluation error. CONCLUSIONS The sampling plan determined in this study can be adopted by farmers because it enables the adequate evaluation of B. tabaci populations in watermelon fields (10% maximum evaluation error) and is a low‐cost (US$ 2.22 per sampling), fast (56 min per sampling) and feasible (because it may be used in a standardized way throughout the crop cycle) technique. © 2017 Society of Chemical Industry