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Evaluation of BoteGHA ES, NoFly, and Warhammer, as Cydia pomonella (Lepidoptera: Tortricidae), larvicide, 2025
Journal article   Open access   Peer reviewed

Evaluation of BoteGHA ES, NoFly, and Warhammer, as Cydia pomonella (Lepidoptera: Tortricidae), larvicide, 2025

César Reyes Corral, Mario N Luppino, Max A S Young, Aidyn A Ruf, Robert B Macciato and R T Curtiss
Arthropod management tests, Vol.51(1), p.37
01/07/2026
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tsag037207.57 kBDownloadView
Open Access CC BY-NC V4.0
url
https://doi.org/10.1093/amt/tsag037View
Published (Version of record) Open

Abstract

This study assessed BoteGHA ES, NoFly, and Warhammer effects on CM larval mortality. During summer 2024, cardboard bands were wrapped around apple tree trunks at 15 to 45 cm above ground in mixed apple orchards in Central Washington. Bands were held at 3 to 4 °C in cold storage during fall 2024 until spring 2025, when they were removed. Larvae, removed from bands and kept at 4 °C to maintain diapause and viability, were used for each treatment. Larvae (n = 30/ treatment) were individually dipped into the assigned treatment suspension for approximately one second, ensuring complete body coverage, and then placed individually into 35 × 10 mm petri dishes without blotting or drying. Suspensions consisted of either BoteGHA ES (1.25 ml/500 ml), NoFly (1.2 g/500 ml), Warhammer (0.47 ml/500 ml), or sterile distilled water as an untreated check (Table 1). Treated larvae were maintained in a controlled grow room at 23 to 26 °C (74 to 80°F), 35% to 40% relative humidity, and a 16:8 h L:D cycle. Observations were conducted daily during the first 7 d post-exposure, then weekly until 28 d post-exposure. Larvae were categorized as alive, moribund (appearing near dead), or dead. Pairwise differences in survival among treatments were assessed using Holm-adjusted pairwise log-rank tests. Survival probabilities among treatments were calculated using Kaplan–Meier estimates. To quantify treatment effects on time to death, para-metric survival models were fitted using an accelerated failure time with a Weibull distribution. Acceleration factors were calculated by exponentiating model coefficients. Acceleration factors <1 indicate reduced time to death relative to the untreated check (ie faster mortality), whereas values >1 indicate prolonged survival.

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