Numerical and Binomial Sequential Sampling Plans for Adult Bemisia Tabaci in Cotton

Fixed-precision numerical and binomial sequential sampling plans are reported for adults of Bemisia tabaci (Strain B) on cotton. Both plans are based on whole leaf sample units from the fifth mainstem node (counted from the terminal). Numerical sampling plans allow for the efficient estimation of ad...

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Main Authors: Naranjo, S. E., Flint, H. M., Henneberry, T. J.
Other Authors: Silvertooth, Jeff
Language:en_US
Published: College of Agriculture, University of Arizona (Tucson, AZ) 1994
Subjects:
Online Access:http://hdl.handle.net/10150/209643
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spelling ndltd-arizona.edu-oai-arizona.openrepository.com-10150-2096432015-10-23T04:49:47Z Numerical and Binomial Sequential Sampling Plans for Adult Bemisia Tabaci in Cotton Naranjo, S. E. Flint, H. M. Henneberry, T. J. Silvertooth, Jeff USDA-ARS, Western Cotton Research Laboratory Agriculture -- Arizona Cotton -- Arizona Cotton -- Insect investigations Fixed-precision numerical and binomial sequential sampling plans are reported for adults of Bemisia tabaci (Strain B) on cotton. Both plans are based on whole leaf sample units from the fifth mainstem node (counted from the terminal). Numerical sampling plans allow for the efficient estimation of adult population density. Numerical sampling stop lines are presented relating the cumulative number of adults counted to the number of leaves examined for two levels of statistical precision. Binomial plans were developed to allow classification of adult population density for pest management decision -making application. These plans were devised for three action threshold levels; 5, 10 or 15 adults per leaf Binomial sampling stop lines are presented relating the cumulative number of infested leaves to the number of leaves examined as an aid for determining the need for population suppression. 1994-03 text Article http://hdl.handle.net/10150/209643 Cotton: A College of Agriculture Report en_US 370096 Series P-96 College of Agriculture, University of Arizona (Tucson, AZ)
collection NDLTD
language en_US
sources NDLTD
topic Agriculture -- Arizona
Cotton -- Arizona
Cotton -- Insect investigations
spellingShingle Agriculture -- Arizona
Cotton -- Arizona
Cotton -- Insect investigations
Naranjo, S. E.
Flint, H. M.
Henneberry, T. J.
Numerical and Binomial Sequential Sampling Plans for Adult Bemisia Tabaci in Cotton
description Fixed-precision numerical and binomial sequential sampling plans are reported for adults of Bemisia tabaci (Strain B) on cotton. Both plans are based on whole leaf sample units from the fifth mainstem node (counted from the terminal). Numerical sampling plans allow for the efficient estimation of adult population density. Numerical sampling stop lines are presented relating the cumulative number of adults counted to the number of leaves examined for two levels of statistical precision. Binomial plans were developed to allow classification of adult population density for pest management decision -making application. These plans were devised for three action threshold levels; 5, 10 or 15 adults per leaf Binomial sampling stop lines are presented relating the cumulative number of infested leaves to the number of leaves examined as an aid for determining the need for population suppression.
author2 Silvertooth, Jeff
author_facet Silvertooth, Jeff
Naranjo, S. E.
Flint, H. M.
Henneberry, T. J.
author Naranjo, S. E.
Flint, H. M.
Henneberry, T. J.
author_sort Naranjo, S. E.
title Numerical and Binomial Sequential Sampling Plans for Adult Bemisia Tabaci in Cotton
title_short Numerical and Binomial Sequential Sampling Plans for Adult Bemisia Tabaci in Cotton
title_full Numerical and Binomial Sequential Sampling Plans for Adult Bemisia Tabaci in Cotton
title_fullStr Numerical and Binomial Sequential Sampling Plans for Adult Bemisia Tabaci in Cotton
title_full_unstemmed Numerical and Binomial Sequential Sampling Plans for Adult Bemisia Tabaci in Cotton
title_sort numerical and binomial sequential sampling plans for adult bemisia tabaci in cotton
publisher College of Agriculture, University of Arizona (Tucson, AZ)
publishDate 1994
url http://hdl.handle.net/10150/209643
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