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Related Experiment Video

Updated: Jun 25, 2026

Soil Sampling and Isolation of Entomopathogenic Nematodes (Steinernematidae, Heterorhabditidae)
07:45

Soil Sampling and Isolation of Entomopathogenic Nematodes (Steinernematidae, Heterorhabditidae)

Published on: July 11, 2014

The potential for mapping nematode distributions for site-specific management.

Dawn Y Wyse-Pester, Lori J Wiles, Philip Westra

    Journal of Nematology
    |March 7, 2009
    PubMed
    Summary

    Site-specific nematode management requires accurate infestation maps. While spatial correlation exists, soil data alone cannot currently reduce nematode sampling costs for mapping.

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    Area of Science:

    • Agricultural Science
    • Soil Science
    • Nematology

    Background:

    • Site-specific nematode management relies on accurate infestation mapping.
    • Cost-effective mapping strategies are crucial for growers and advisors.
    • Understanding spatial patterns of nematode infestations is key.

    Purpose of the Study:

    • To assess the spatial dependence of nematode infestations in corn fields.
    • To investigate the correlation between soil attributes and nematode density.
    • To determine the required sampling scale for accurate nematode density mapping and explore cost reduction using soil data.

    Main Methods:

    • Sampling nematodes and soil on a 76.2 x 76.2-m grid over two years in two irrigated corn fields.
    • Analyzing spatial dependence of nematode distributions for multiple species.
    Keywords:
    anisotropycorrelationgeostatisticsmapnematodeorganic mattersamplingsite-specific managementsoil texturespatial dependencespatial distribution

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    Soil Sampling and Isolation of Entomopathogenic Nematodes (Steinernematidae, Heterorhabditidae)
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  • Correlating nematode density with various soil attributes.

    • Main Results:

    • Nematodes were present in 36% to 77% of soil cores across fields.
    • Spatial dependence was detected in 10 out of 16 nematode distributions.
    • 22% to 67% of nematode density variation was explained by spatial correlation, with significant distances up to 649m.
    • Correlations between nematode density and soil attributes were inconsistent.

    Conclusions:

    • Mapping nematode infestations for site-specific management is feasible due to spatial dependence.
    • Current soil data is insufficient to replace nematode counts for cost-effective mapping.
    • Further research is needed to optimize sampling strategies and integrate soil data effectively.