Abstract

The cranberry fruitworm (Acrobasis vaccinii Riley), sparganothis fruitworm (Sparganothis sulfureana Clemens), and blackheaded fireworm (Rhopobota naevana Hübner) are historically significant pests of cranberries (Vaccinium macrocarpon Aiton) in the Upper Midwest (Wisconsin), USA. Their respective natural histories are well documented but correlations between developmental benchmarks (e.g., larval eclosion) and degree-day accruals are not yet known. Treatment timings are critical to the optimization of any given control tactic, and degree-day accrual facilitates optimization by quantifying the developmental status of pest populations. When key developmental benchmarks in the pest life cycle are linked to degree-days, real-time weather data can be used to predict precise treatment timings. Here, we provide the degree-day accumulations associated with discrete biological events (i.e., initiation of flight and peak flight) for the three most consistent moth pests of cranberries in Wisconsin. Moths were trapped each spring and summer from 2003 to 2011. To characterize flight dynamics and average timing of flight initiation, pheromone-baited trap-catch data were tallied for all three pest species within each of seven growing seasons. These flight dynamics were then associated with the corresponding degree-day accumulations generated using the cranberry plant’s developmental thresholds. Finally, models were fit to the data in order to determine the peak flight of each species. The initiation of the spring flight among all three moth species was highly synchronous, aiding in the timing of control tactics; however, there were substantial differences in the timing of peak flight among the moth species. Characterization of the relationship between temperature and pest development allows pest management professionals to target specific life stages, improving the efficacy of any given pest control tactic.

Highlights

  • One of the central tenets of any integrated pest management (IPM) program is that pest management decisions should be based on knowledge of pest identity and abundance, and on accurate estimates of pest ontogeny and stage-specific damage potential [1,2,3,4].Generating information on pest ontogeny and damage potential is facilitated by the use of degree-dayInsects 2017, 8, 26; doi:10.3390/insects8010026 www.mdpi.com/journal/insectsInsects 2017, 8, 26 models

  • DD accumulations can be linked to specific developmental benchmarks, such as the start of oviposition, larval eclosion, or adult emergence, which create useful, predictive models to better time pest management tactics [9,10,11]

  • Populations of Acrobasis vaccinii, Sparganothis sulfureana, and Rhopobota naevana were monitored at 85 commercial cranberry marshes in the Upper Midwest, distributed across the three major cranberry-growing regions of Wisconsin (i.e., Wood, Monroe, Jackson, Juneau, and Adams Counties)

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Summary

Introduction

Generating information on pest ontogeny and damage potential is facilitated by the use of degree-day. Such models refine predictions of arthropod development using ambient temperatures [5,6,7]. Daily temperature data can be used to predict development via the calculation of heat units, or degree-days (DD). Phenological models using DDs have been determined for over five hundred insect pests, across five insect families and several landscape systems [8]. DD accumulations can be linked to specific developmental benchmarks, such as the start of oviposition, larval eclosion, or adult emergence, which create useful, predictive models to better time pest management tactics [9,10,11]

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