A Fixed-Precision Sequential Sampling Plan for the Potato Tuberworm Moth, Phthorimaea operculella Zeller (Lepidoptera: Gelechidae), on Potato Cultivars

2017 ◽  
Vol 46 (4) ◽  
pp. 388-395 ◽  
Author(s):  
M Shahbi ◽  
A Rajabpour
Keyword(s):  
Sequential Sampling ◽  
Sampling Plan ◽  
Potato Cultivars ◽  
Phthorimaea Operculella ◽  
Sequential Sampling Plan ◽  
Potato Tuberworm Moth ◽  
Potato Tuberworm

scholarly journals Within-plant distribution and binomial sequential sampling plan for Tetranychus evansi (Acari: Tetranychidae) in greenhouse tomato: implications for management.

2020 ◽  
Author(s):  
Willis Ndeda Ochilo ◽  
Gideon Nyamasyo ◽  
John Agano
Keyword(s):  
Sequential Sampling ◽  
Sampling Plan ◽  
Plant Distribution ◽  
Tetranychus Evansi ◽  
Sequential Sampling Plan ◽  
Red Spider Mite ◽  
Mite Density ◽  
Density Analysis ◽  
The Tropics ◽  
Best Fit

Abstract The red spider mite, Tetranychus evansi is a critical pest of tomato in the tropics. Control of T. evansi has traditionally depended on acaricide treatments. However, it is only in a handful of crops where monitoring techniques for mites, using statistical methods, have been developed to help farmers decide when to spray. The objective of this study, therefore, was to develop a sampling plan that would help farmers increase accuracy, and reduce the labor and time needed to monitor T. evansi on tomato. The distribution of T. evansi within-plant was aggregated, and intermediate leaves (YFL) was the most appropriate sampling unit to evaluate the mite density. Analysis based on Taylor's Power Law showed an aggregated pattern of distribution of T. evansi, while assessment of the fitness of the binomial model indicated that a tally threshold of 5 mites per YFL provided the best fit. Consequently, binomial sequential sampling plans premised on three action thresholds (0.1, 0.2 and 0.3) were developed. The binomial sequential sampling plan for T. evansi developed in this study has the potential to significantly increase the chance for targeted acaricide applications. This judicious use of pesticides is especially crucial within the context of integrated pest management (IPM).

scholarly journals SPATIAL DISTRIBUTION AND SEQUENTIAL SAMPLING OF Brevipalpus phoenicis IN CITRUS

2016 ◽  
Vol 38 (4) ◽  
Author(s):  
WALTER MALDONADO JR ◽  
JOSÉ CARLOS BARBOSA ◽  
MARÍLIA GREGOLIN COSTA ◽  
PAULO CÉSAR TIBURCIO GONÇALVES ◽  
TIAGO ROBERTO DOS SANTOS
Keyword(s):  
Spatial Distribution ◽  
Negative Binomial Distribution ◽  
Binomial Distribution ◽  
Negative Binomial ◽  
Sequential Sampling ◽  
Sampling Plan ◽  
Goodness Of Fit Test ◽  
Control Plan ◽  
Sequential Sampling Plan ◽  
Brevipalpus Phoenicis

ABSTRACT Among the pests of citrus, one of the most important is the red and black flat mite Brevipalpus phoenicis (Geijskes), which transmits the Citrus leprosis virus C (CiLV-C).When a rational pest control plan is adopted, it is important to determine the correct timing for carrying out the control plan. Making this decision demands constant follow-up of the culture through periodic sampling where knowledge about the spatial distribution of the pest is a fundamental part to improve sampling and control decisions. The objective of this work was to study the spatial distribution pattern and build a sequential sampling plan for the pest. The data used were gathered from two blocks of Valencia sweet orange on a farm in São Paulo State, Brazil, by 40 inspectors trained for the data collection. The following aggregation indices were calculated: variance/ mean ratio, Morisita index, Green’s coefficient, and k parameter of the negative binomial distribution. The data were tested for fit with Poisson and negative binomial distributions using the chi-square goodness of fit test. The sequential sampling was developed using Wald’s Sequential Probability Ratio Test and validated through simulations. We concluded that the spatial distribution of B. phoenicis is aggregated, its behavior best fitted to the negative binomial distribution and we built and validated a sequential sampling plan for control decision-making.

Economic injury level for sequential sampling plan of Frankliniella schultzei in bell pepper crops

2019 ◽  
Vol 123 ◽  
pp. 30-35 ◽  
Author(s):  
Jhersyka da S. Paes ◽  
Tamíris A. de Araújo ◽  
Rodrigo S. Ramos ◽  
João Rafael S. Soares ◽  
Vitor C.R. de Araújo ◽  
...  
Keyword(s):  
Sequential Sampling ◽  
Sampling Plan ◽  
Bell Pepper ◽  
Economic Injury Level ◽  
Frankliniella Schultzei ◽  
Sequential Sampling Plan ◽  
Economic Injury

A sequential sampling plan for exponential distribution

2016 ◽  
Vol 35 (3) ◽  
pp. 331-346
Author(s):  
Yeh Lam ◽  
Boris Choy ◽  
Philip Yu
Keyword(s):  
Exponential Distribution ◽  
Sequential Sampling ◽  
Sampling Plan ◽  
Sequential Sampling Plan

Sequential Sampling Plan for Tenuipalpus heveae Baker (Acari: Tenuipalpidae) on Rubber Tree

2013 ◽  
Vol 42 (2) ◽  
pp. 200-204
Author(s):  
G L M Martins ◽  
M R Vieira ◽  
J C Barbosa
Keyword(s):  
Sequential Sampling ◽  
Rubber Tree ◽  
Sampling Plan ◽  
Sequential Sampling Plan

A Dynamic Binomial Sequential Sampling Plan for Plutella xylostella (Lepidoptera: Plutellidae) on Broccoli and Cauliflower in Australia

2004 ◽  
Vol 97 (1) ◽  
pp. 127-135 ◽  
Author(s):  
A. J. Hamilton ◽  
N. A. Schellhorn ◽  
N. M. Endersby ◽  
P. M. Ridland ◽  
S. A. Ward
Keyword(s):  
Plutella Xylostella ◽  
Sequential Sampling ◽  
Sampling Plan ◽  
Sequential Sampling Plan
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