| Evaluation of sampling methods and development of sample plans for estimating predator densities in cotton. | |
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MedLine Citation:
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PMID: 18767765 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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The cost-reliability of five sampling methods (visual search, drop cloth, beat bucket, shake bucket, and sweep net) was determined for four groups of predatory arthropods on cotton plants in Texas. The beat bucket sample method was the most cost-reliable sampling method for Orius adults, and the beat bucket and drop cloth were the most cost-reliable methods for Orius nymphs. The drop cloth and beat bucket were the most cost-reliable methods for sampling spiders. For sampling adult Coccinellidae, the sweep net and the beat bucket were the most cost-reliable. The visual sample method was the least cost-reliable method for Orius adults and nymphs and spiders. No one sampling method was identified as the optimum method for all four predator groups. However, the relative cost-reliability of the beat bucket method ranked first or second among the five sampling methods and this method was chosen for further evaluation in field studies in Texas and Arizona. The relative cost-reliability of 1-, 3-, 5-, and 10-plants per beat bucket sample varied with predator group, but multiple plant sample units were equal to or more cost-reliable than the one plant sample unit. Fixed sample plans for the beat bucket method were developed for Orius adults, Orius nymphs, spiders, and adult Coccinellidae, and the sum of these groups using the 3-, 5-, and 10-plant sample unit sizes. The greater cost-reliability of the beat bucket sampling method and its ease of use is of particular advantage in assessing predator densities in a commercial cotton field monitoring program. |
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Authors:
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Allen E Knutson; Mark A Muegge; L T Wilson; Steve E Naranjo |
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Publication Detail:
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Type: Comparative Study; Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: Journal of economic entomology Volume: 101 ISSN: 0022-0493 ISO Abbreviation: J. Econ. Entomol. Publication Date: 2008 Aug |
Date Detail:
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Created Date: 2008-09-04 Completed Date: 2008-10-22 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 2985127R Medline TA: J Econ Entomol Country: United States |
Other Details:
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Languages: eng Pagination: 1501-9 Citation Subset: IM |
Affiliation:
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Texas A&M AgriLife Research and Extension Center, Dallas, TX 75252-6502, USA. a-knutson@tamu.edu |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Animals Arthropods Food Chain* Gossypium* Hemiptera* Population Density Research / methods* Spiders* |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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