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Spatial dispersion and binomial sequential sampling for the potato psyllid (Hemiptera: Triozidae) on potato
Casey D Butler1, John T Trumble
1Department of Entomology, University of California, Riverside, CA 92521, USA. cbutl001@student.ucr.edu
Pest Management Science
|January 24, 2012
Summary
New sampling plans help detect potato psyllids in potato fields. These plans efficiently identify low pest levels, aiding in potato pest management and reducing crop damage.
Area of Science:
- Agricultural Entomology
- Pest Management
- Crop Protection
Background:
- The potato psyllid is a significant pest impacting potato crops.
- Current sampling methods for potato psyllids are insufficient.
- Developing effective sampling plans is crucial for potato cultivation.
Purpose of the Study:
- Identify the most efficient within-plant sampling unit for potato psyllids.
- Determine the spatial distribution patterns of potato psyllids in potato fields.
- Create a binomial sequential sampling plan for potato psyllid management.
Main Methods:
- Field surveys to assess potato psyllid infestation levels and locations.
- Analysis of spatial dispersion patterns within potato fields.
- Development of binomial sequential sampling plans based on established action thresholds.
Main Results:
- Potato psyllids were more prevalent on field edges and the upper/middle parts of potato plants.
- Higher psyllid populations were found on the undersides of leaves.
- An aggregated distribution pattern was observed for potato psyllids.
- Reliable binomial sequential sampling plans were developed for 0.5 and 1 psyllid per plant thresholds.
Conclusions:
- Binomial sequential sampling plans effectively detect low-level potato psyllid infestations.
- These plans provide a valuable tool for proactive pest management in potato crops.
- Early detection aids in minimizing crop losses due to potato psyllids.
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01:23Sampling Plans
Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
00:54Distribution and Dispersion
To understand intra-specific interactions in populations, scientists measure the spatial arrangement of species individuals. This geographic arrangement is known as the species distribution or dispersion. Highly territorial species exhibit a uniform distribution pattern, in which individuals are spaced at relatively equal distances from one another. Species that are highly tied to particular resources, such as food or shelter, tend to concentrate around those resources, and thus exhibit a...