Effect of temperature on the migration of the Sunn pest Eurygaster maura L. 1758 (Hemiptera: Scutelleridae) from overwintering area

Sunn pest (Eurygaster spp.) is one of the most important pests adversely affecting the yield and quality of wheat, which is one of the main nutritional products for humans. In controlling the sunn pest, determining the migration pattern of the pest from its overwintering sites to wheat fields is of critical importance. The ability to predict the onset and end of this migration event forms the basis of forecasting and warning systems for controlling the sunn pest. In this study, conducted over four life cycles from 2014 to 2018 in two wintering sites, the predictability of the onset and end of the sunn pest's migration from wintering sites to wheat fields using temperature data was investigated. The obtained data were evaluated using pure temperature values, the day-degree model using effective temperature sums, and machine learning (decision tree) methods using cumulative temperature values. The study revealed that the migration pattern of the sunn pest cannot be explained solely by temperature data.

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Publication Details

Journal
Bitki Koruma Bülteni
Published
2025-09-25
DOI
https://doi.org/10.16955/bitkorb.1672155
Primary Topic
Hemiptera Insect Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Effect of temperature on the migration of the Sunn pest Eurygaster maura L. 1758 (Hemiptera: Scutelleridae) from overwintering area

Mehmet Çulcu, Mümtaz Özkan, Emre Akci, Numan Babaroğlu
Bitki Koruma Bülteni
Hemiptera Insect Studies
article

Effect of temperature on the migration of the Sunn pest Eurygaster maura L. 1758 (Hemiptera: Scutelleridae) from overwintering area

Mehmet Çulcu, Mümtaz Özkan, Emre Akci, Numan Babaroğlu
article en

Abstract

Sunn pest (Eurygaster spp.) is one of the most important pests adversely affecting the yield and quality of wheat, which is one of the main nutritional products for humans. In controlling the sunn pest, determining the migration pattern of the pest from its overwintering sites to wheat fields is of critical importance. The ability to predict the onset and end of this migration event forms the basis of forecasting and warning systems for controlling the sunn pest. In this study, conducted over four life cycles from 2014 to 2018 in two wintering sites, the predictability of the onset and end of the sunn pest's migration from wintering sites to wheat fields using temperature data was investigated. The obtained data were evaluated using pure temperature values, the day-degree model using effective temperature sums, and machine learning (decision tree) methods using cumulative temperature values. The study revealed that the migration pattern of the sunn pest cannot be explained solely by temperature data.

Bitki Koruma BülteniVol. 65(3)
Instituut voor Landbouw en Visserijonderzoek (BE)
Openalex Percentile: Top 79%
Hemiptera Insect Studies
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