Spatial Dependence and Sampling of Phytoseiid Populations on Hass Avocados in Southern California
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Updated: Mar 22, 2026

Avocado Sample Preparation Using the QuEChERS Method with Ammonium Formate for Pesticide Analysis
Published on: December 8, 2023
Jesús R Lara1, Ruth Amrich1, Naseem T Saremi1
1Department of Entomology, University of California, Riverside, CA 92521 (jesus.lara@ucr.edu; ruth.amrich@ucr.edu; naseem.saremi@sjsu.edu; mark.hoddle@ucr.edu).
Abstract:
Research on phytoseiid mites has been critical for developing an effective biocontrol strategy for suppressing Oligonchus perseae Tuttle, Baker, and Abatiello (Acari: Tetranychidae) in California avocado orchards. However, basic understanding of the spatial ecology of natural populations of phytoseiids in relation to O. perseae infestations and the validation of research-based strategies for assessing densities of these predators has been limited. To address these shortcomings, cross-sectional and longitudinal observations consisting of >3,000 phytoseiids and 500,000 O. perseae counted on 11,341 leaves were collected across 10 avocado orchards during a 10-yr period. Subsets of these data were analyzed statistically to characterize the spatial distribution of phytoseiids in avocado orchards and to evaluate the merits of developing binomial and enumerative sampling strategies for these predators. Spatial correlation of phytoseiids between trees was detected at one site, and a strong association of phytoseiids with elevated O. perseae densities was detected at four sites. Sampling simulations revealed that enumeration-based sampling performed better than binomial sampling for estimating phytoseiid densities. The ecological implications of these findings and potential for developing a custom sampling plan to estimate densities of phytoseiids inhabiting sampled trees in avocado orchards in California are discussed.
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