Distribution pattern and sequential sampling plan for spotted pod borer,Maruca vitrata(Fabricius) (Lepidoptera: Crambidae) on pigeon pea,Cajanus cajanL

Abstract The legume pod-borer, Maruca vitrata Fabricius (Lepidoptera: Crambidae) (LPB), is an important insect pest of pigeon pea. Chemical pesticides are generally employed to manage this pest, but because of the soil residue issues and other environmental hazards associated with their use, biopesticides are also in demand. Another benign alternative is to use entomopathogenic nematodes (EPNs) to manage this vital pest. In the present study, the infectivity of ten native EPNs was evaluated against LPB by assessing their penetration and production in the LPB. The effectiveness of the promising EPNs against second-, third- and fourth-instar LPB larvae was also studied. Heterorhabditis sp. (Indian Agricultural Research Institute-Entomopathogenic Nematodes Rashid Pervez (IARI-EPN RP) 06) and Oscheius sp. (IARI-EPN RP 08) were found to be most pathogenic to LPB, resulting in about 100% mortality within 72 h, followed by Steinernema sp. (IARI-EPN RP 03 and 09). Oscheius sp. (IARI-EPN RP 04) was found to be the least pathogenic to LPB larva with 67% mortality. Maximum penetration was exhibited by Heterorhabditis sp. (IARI-EPN RP 06) followed by Oscheius sp. (IARI-EPN RP 08), whereas the lowest rate of penetration was exhibited by Oscheius sp. (IARI-EPN RP 01). The highest rate of production was observed with Oscheius sp. (IARI-EPN RP 08), followed by Oscheius sp. (IARI-EPN RP 04 and 10). Among the tested instars of the LPB larvae, second-instar larvae were more susceptible to EPNs, followed by third- and fourth-instar larvae. The results indicate that Heterorhabditis sp. (IARI-EPN RP 06) and Oscheius sp. (IARI-EPN RP 08) have a good potential to the manage LPB.

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

Neotropical Entomology ◽

10.1007/s13744-017-0487-1 ◽

2017 ◽

Vol 46 (4) ◽

pp. 388-395 ◽

Cited By ~ 4

Author(s):

M Shahbi ◽

A Rajabpour

Keyword(s):

Sequential Sampling ◽

Sampling Plan ◽

Potato Cultivars ◽

Phthorimaea Operculella ◽

Sequential Sampling Plan ◽

Potato Tuberworm Moth ◽

Potato Tuberworm

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

10.31220/agrirxiv.2020.00011 ◽

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).

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Analysis and Design of the Sequential Sampling Plan by Attributes Based on the Minimal Lattice Paths

Frontiers in Statistical Quality Control ◽

10.1007/978-3-662-11787-3_4 ◽

1987 ◽

pp. 52-66

Author(s):

H. Ohta ◽

M. Furukawa

Keyword(s):

Sequential Sampling ◽

Sampling Plan ◽

Lattice Paths ◽

Analysis And Design ◽

Sequential Sampling Plan ◽

Minimal Lattice

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SPATIAL DISTRIBUTION AND SEQUENTIAL SAMPLING OF Brevipalpus phoenicis IN CITRUS

Revista Brasileira de Fruticultura ◽

10.1590/0100-29452016085 ◽

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.

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