Temperature effects on egg and larval development and phenological forecasting of the smaller fruit tortrix, G rapholita lobarzewskii

The effects of temperature on egg and larval development of G rapholita lobarzewskii N owicki ( L epidoptera: T ortricidae) were studied under controlled conditions to complement the basis for phenological forecasting and thus to optimize the timing of monitoring and control measures with respect to...

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Veröffentlicht in:Entomologia experimentalis et applicata 2016-02, Vol.158 (2), p.163-169
Hauptverfasser: Graf, B., Höpli, H. U., Höhn, H., Samietz, J.
Format: Artikel
Sprache:eng
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Zusammenfassung:The effects of temperature on egg and larval development of G rapholita lobarzewskii N owicki ( L epidoptera: T ortricidae) were studied under controlled conditions to complement the basis for phenological forecasting and thus to optimize the timing of monitoring and control measures with respect to sustainable pest management. Egg development lasted on average 28.1 days at 12.7 °C and 5.5 days at 26.1 °C. Egg mortality was generally low, varying between 12 and 14% within a temperature range of 12.7–22.0 °C, but slightly increased to 20% at 26.1 °C. For egg development, a lower thermal threshold of 9.7 °C and a thermal constant of 90.6 degree days were established. Larval development took on average 76.0 days at 12.7 °C and 21.5 days at 26.1 °C. Larval mortality was 51% at 12.7 °C but only 6–12% at temperatures above 17 °C. The lower thermal threshold and the thermal constant for larval development were 7.6 °C and 389.2 degree days, respectively. Final larval weight increased with temperature from 18.6 mg at 12.7 °C to a maximum of 23.9 mg at 22.0 °C. Based on mortality rates, the optimal temperature range was between 12.7 and 22.0 °C for egg development and between 17.1 and 22.0 °C for larval development, which was confirmed based on the weight of fully grown larvae. These biological parameters of egg and larval development enabled us to parameterise a phenology model for G . lobarzewskii , which was incorporated into an existing decision support system for fruit pests. Precise forecasts of pest phenology facilitate the optimal timing of monitoring and control measures, improve their efficiency, and thereby contribute to sustainable crop protection.
ISSN:0013-8703
1570-7458
DOI:10.1111/eea.12386