The use of interval censored data to assess the timing of early field infestation of fall armyworm, Spodoptera frugiperda (J. E. Smith) (Lepidoptera, Noctuidae) in maize fields

The fall armyworm, Spodoptera frugiperda, situation in Africa remains a priority threat despite significant efforts made since the first outbreaks in 2016 to control the pest and thereby reduce yield losses. Field surveys in Benin and Mali reported that approximately one-week post-emergence of maize...

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Autores principales: Guimapi, R.A., Nordskog, B., Hjelkrem, A.G.R., Klingen, I., Tepa-Yotto, G., Tamò, Manuele, Thunes, K.H.
Formato: Journal Article
Lenguaje:Inglés
Publicado: Elsevier 2024
Materias:
Acceso en línea:https://hdl.handle.net/10568/159521
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author Guimapi, R.A.
Nordskog, B.
Hjelkrem, A.G.R.
Klingen, I.
Tepa-Yotto, G.
Tamò, Manuele
Thunes, K.H.
author_browse Guimapi, R.A.
Hjelkrem, A.G.R.
Klingen, I.
Nordskog, B.
Tamò, Manuele
Tepa-Yotto, G.
Thunes, K.H.
author_facet Guimapi, R.A.
Nordskog, B.
Hjelkrem, A.G.R.
Klingen, I.
Tepa-Yotto, G.
Tamò, Manuele
Thunes, K.H.
author_sort Guimapi, R.A.
collection Repository of Agricultural Research Outputs (CGSpace)
description The fall armyworm, Spodoptera frugiperda, situation in Africa remains a priority threat despite significant efforts made since the first outbreaks in 2016 to control the pest and thereby reduce yield losses. Field surveys in Benin and Mali reported that approximately one-week post-emergence of maize plants, the presence of fall armyworm (egg/neonates) could be observed in the field. Scouting for fall armyworm eggs and neonates is, however, difficult and time consuming. In this study, we therefore hypothesized that the optimum timeframe for the fall armyworm female arriving to lay eggs in sown maize fields could be predicted. We did this by back-calculating from interval censored data of egg and neonates collected in emerging maize seedlings at young leaf developmental stage. Early time of ovipositing fall armyworm after sowing was recorded in field experiments. By using temperature-based models to predict phenological development for maize and fall armyworm, combined with analytical approaches for time-to-event data with censored status, we estimated that about 210 accumulated Degree Days (DD) is needed for early detection of neonate larvae in the field. This work is meant to provide new insights on timely pest detection and to guide for precise timing of control measures.
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spelling CGSpace1595212025-12-08T10:11:39Z The use of interval censored data to assess the timing of early field infestation of fall armyworm, Spodoptera frugiperda (J. E. Smith) (Lepidoptera, Noctuidae) in maize fields Guimapi, R.A. Nordskog, B. Hjelkrem, A.G.R. Klingen, I. Tepa-Yotto, G. Tamò, Manuele Thunes, K.H. fall armyworm integrated pest management maize control measures The fall armyworm, Spodoptera frugiperda, situation in Africa remains a priority threat despite significant efforts made since the first outbreaks in 2016 to control the pest and thereby reduce yield losses. Field surveys in Benin and Mali reported that approximately one-week post-emergence of maize plants, the presence of fall armyworm (egg/neonates) could be observed in the field. Scouting for fall armyworm eggs and neonates is, however, difficult and time consuming. In this study, we therefore hypothesized that the optimum timeframe for the fall armyworm female arriving to lay eggs in sown maize fields could be predicted. We did this by back-calculating from interval censored data of egg and neonates collected in emerging maize seedlings at young leaf developmental stage. Early time of ovipositing fall armyworm after sowing was recorded in field experiments. By using temperature-based models to predict phenological development for maize and fall armyworm, combined with analytical approaches for time-to-event data with censored status, we estimated that about 210 accumulated Degree Days (DD) is needed for early detection of neonate larvae in the field. This work is meant to provide new insights on timely pest detection and to guide for precise timing of control measures. 2024-10 2024-11-11T14:40:36Z 2024-11-11T14:40:36Z Journal Article https://hdl.handle.net/10568/159521 en Open Access application/pdf Elsevier Guimapi, R.A., Nordskog, B., Hjelkrem, A.G.R., Klingen, I., Tepa-Yotto, G., Tamo, M. & Thunes, K.H. (2024). The use of interval censored data to assess the timing of early field infestation of fall armyworm, Spodoptera frugiperda (JE Smith)(Lepidoptera, Noctuidae) in maize fields. Crop Protection, 184: 106843, 1-8.
spellingShingle fall armyworm
integrated pest management
maize
control measures
Guimapi, R.A.
Nordskog, B.
Hjelkrem, A.G.R.
Klingen, I.
Tepa-Yotto, G.
Tamò, Manuele
Thunes, K.H.
The use of interval censored data to assess the timing of early field infestation of fall armyworm, Spodoptera frugiperda (J. E. Smith) (Lepidoptera, Noctuidae) in maize fields
title The use of interval censored data to assess the timing of early field infestation of fall armyworm, Spodoptera frugiperda (J. E. Smith) (Lepidoptera, Noctuidae) in maize fields
title_full The use of interval censored data to assess the timing of early field infestation of fall armyworm, Spodoptera frugiperda (J. E. Smith) (Lepidoptera, Noctuidae) in maize fields
title_fullStr The use of interval censored data to assess the timing of early field infestation of fall armyworm, Spodoptera frugiperda (J. E. Smith) (Lepidoptera, Noctuidae) in maize fields
title_full_unstemmed The use of interval censored data to assess the timing of early field infestation of fall armyworm, Spodoptera frugiperda (J. E. Smith) (Lepidoptera, Noctuidae) in maize fields
title_short The use of interval censored data to assess the timing of early field infestation of fall armyworm, Spodoptera frugiperda (J. E. Smith) (Lepidoptera, Noctuidae) in maize fields
title_sort use of interval censored data to assess the timing of early field infestation of fall armyworm spodoptera frugiperda j e smith lepidoptera noctuidae in maize fields
topic fall armyworm
integrated pest management
maize
control measures
url https://hdl.handle.net/10568/159521
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