{"title":"SIMKEF – A decision support system to predict the infestation probability of Drosophila suzukii","authors":"","doi":"10.1016/j.cropro.2024.106858","DOIUrl":null,"url":null,"abstract":"<div><p><em>Drosophila suzukii</em> is an invasive, polyphagous pest of soft-skinned fruits, causing widespread economic damage in orchards and vineyards worldwide, including Germany. Decision support systems (DSS) are necessary to control <em>D. suzukii</em> prior to the occurrence of considerable yield loss in terms of quantity and quality. In this study, we introduce the newly developed DSS SIMKEF, simulating and predicting the daily infestation probability of <em>D. suzukii</em> during the fruit ripening phase of different host crops, using hourly air temperature data. The model validation of daily infestation probability of <em>D. suzukii</em> resulted in correct simulations of 75% in blackberry, 54% in sweet cherry, 54% in grapevine ’Dornfelder’, 40% in sour cherry, 27% in grapevine ‘Portugieser’, and 25% in raspberry. Therefore, the current prototype of SIMKEF needs to be further improved to achieve higher accuracies of the simulation results in the future.</p></div>","PeriodicalId":10785,"journal":{"name":"Crop Protection","volume":null,"pages":null},"PeriodicalIF":2.5000,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Crop Protection","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0261219424002862","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRONOMY","Score":null,"Total":0}
引用次数: 0
Abstract
Drosophila suzukii is an invasive, polyphagous pest of soft-skinned fruits, causing widespread economic damage in orchards and vineyards worldwide, including Germany. Decision support systems (DSS) are necessary to control D. suzukii prior to the occurrence of considerable yield loss in terms of quantity and quality. In this study, we introduce the newly developed DSS SIMKEF, simulating and predicting the daily infestation probability of D. suzukii during the fruit ripening phase of different host crops, using hourly air temperature data. The model validation of daily infestation probability of D. suzukii resulted in correct simulations of 75% in blackberry, 54% in sweet cherry, 54% in grapevine ’Dornfelder’, 40% in sour cherry, 27% in grapevine ‘Portugieser’, and 25% in raspberry. Therefore, the current prototype of SIMKEF needs to be further improved to achieve higher accuracies of the simulation results in the future.
期刊介绍:
The Editors of Crop Protection especially welcome papers describing an interdisciplinary approach showing how different control strategies can be integrated into practical pest management programs, covering high and low input agricultural systems worldwide. Crop Protection particularly emphasizes the practical aspects of control in the field and for protected crops, and includes work which may lead in the near future to more effective control. The journal does not duplicate the many existing excellent biological science journals, which deal mainly with the more fundamental aspects of plant pathology, applied zoology and weed science. Crop Protection covers all practical aspects of pest, disease and weed control, including the following topics:
-Abiotic damage-
Agronomic control methods-
Assessment of pest and disease damage-
Molecular methods for the detection and assessment of pests and diseases-
Biological control-
Biorational pesticides-
Control of animal pests of world crops-
Control of diseases of crop plants caused by microorganisms-
Control of weeds and integrated management-
Economic considerations-
Effects of plant growth regulators-
Environmental benefits of reduced pesticide use-
Environmental effects of pesticides-
Epidemiology of pests and diseases in relation to control-
GM Crops, and genetic engineering applications-
Importance and control of postharvest crop losses-
Integrated control-
Interrelationships and compatibility among different control strategies-
Invasive species as they relate to implications for crop protection-
Pesticide application methods-
Pest management-
Phytobiomes for pest and disease control-
Resistance management-
Sampling and monitoring schemes for diseases, nematodes, pests and weeds.