Datum
2024-03-15Schlagwort
500 Naturwissenschaften 580 Pflanzen (Botanik) 630 Landwirtschaft, Veterinärmedizin ErbsenwicklerSchmetterlingeSchädlingsbefallPheromonfalleErbsePrognoseverfahrenRisikoWicklerMetadata
Zur Langanzeige
Aufsatz
The efficacy of spatio-temporal predictors in forecasting the risk of Cydia nigricana infestation
Zusammenfassung
The ability to estimate the risk of pest infestation can help farmers to reduce pesticide application and provide guidance that would result in better management decisions. This study tested whether different combinations of spatial and temporal risk factors may be used to predict the damage potential of pea moth, Cydia nigricana Fabricius (Lepidoptera: Tortricidae), a major pest in field pea (Pisum sativum L., Fabaceae). Over four consecutive years, the abundance of pea moth was monitored by placing pheromone traps at various field pea-cultivation sites. We also assessed the phenological development stages and the percentage of damaged seeds per 100 pods collected from each growing pea field in a region of approximately 30 km in diameter. The study found the significant infestation risk indicators to be the time of flowering, the date on which male pea moths are first detected in the monitoring traps and the minimum distance to pea fields that were planted and harvested in the previous growing season. The combination of all three factors using a general additive model approach yielded the best results. The model proposed by this study accurately discriminated between low-infestation and high-infestation fields in 95% of cases.
Zitierform
In: Entomologia Experimentalis et Applicata Volume 172 / Issue 7 (2024-03-15) , S. 636-645 ; eissn:1570-7458Förderhinweis
Gefördert im Rahmen des Projekts DEALZitieren
@article{doi:10.17170/kobra-2024061110325,
author={Riemer, Natalia and Schieler, Manuela and Saucke, Helmut},
title={The efficacy of spatio-temporal predictors in forecasting the risk of Cydia nigricana infestation},
journal={Entomologia Experimentalis et Applicata},
year={2024}
}
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2024-06-21T11:47:59Z 2024-06-21T11:47:59Z 2024-03-15 doi:10.17170/kobra-2024061110325 http://hdl.handle.net/123456789/15871 Gefördert im Rahmen des Projekts DEAL eng Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ infestation pressure Lepidoptera management decisions pea moth pheromone trap Pisum sativum reduced pesticide application risk forecast spatio-temporal risk factors Tortricidae 500 580 630 The efficacy of spatio-temporal predictors in forecasting the risk of Cydia nigricana infestation Aufsatz The ability to estimate the risk of pest infestation can help farmers to reduce pesticide application and provide guidance that would result in better management decisions. This study tested whether different combinations of spatial and temporal risk factors may be used to predict the damage potential of pea moth, Cydia nigricana Fabricius (Lepidoptera: Tortricidae), a major pest in field pea (Pisum sativum L., Fabaceae). Over four consecutive years, the abundance of pea moth was monitored by placing pheromone traps at various field pea-cultivation sites. We also assessed the phenological development stages and the percentage of damaged seeds per 100 pods collected from each growing pea field in a region of approximately 30 km in diameter. The study found the significant infestation risk indicators to be the time of flowering, the date on which male pea moths are first detected in the monitoring traps and the minimum distance to pea fields that were planted and harvested in the previous growing season. The combination of all three factors using a general additive model approach yielded the best results. The model proposed by this study accurately discriminated between low-infestation and high-infestation fields in 95% of cases. open access Riemer, Natalia Schieler, Manuela Saucke, Helmut doi:10.1111/eea.13430 Erbsenwickler Schmetterlinge Schädlingsbefall Pheromonfalle Erbse Prognoseverfahren Risiko Wickler publishedVersion eissn:1570-7458 Issue 7 Entomologia Experimentalis et Applicata 636-645 Volume 172 false
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