A new growing degree-day phenology model for wheat stem sawfly (Hymenoptera: Cephidae) in Colorado wheat fields DOI Creative Commons

Henrique V Vieira,

Benjamin Z Bradford,

Adam Osterholzer

и другие.

PLoS ONE, Год журнала: 2025, Номер 20(4), С. e0320497 - e0320497

Опубликована: Апрель 7, 2025

Wheat stem sawfly (WSS), Cephus cinctus (Hymenoptera: Cephidae), is a native grass-feeding insect and one of the most important pests wheat in North America. Yield losses from WSS can be due to boring and/or cutting which causes plants lodge. Current methods, such as solid varieties insecticides, do not effectively control WSS. A better understanding emergence, population size, related environmental factors critical building efficient effective integrated pest management (IPM) strategies for this pest. In study, fields were sampled adult mid-April end June between 2011 2023 several field sites two locations Colorado. This multi-year data created phenology model that predicts emergence peak based on growing degree-day (GDD). The inter-annual variability timing calendar date was substantially reduced when using GDD with base temperature 10°C, an upper threshold 30°C, biofix Jan 1. predicted initial at 148 GDD, 224 decline 354 GDD. We also modeled effects mean populations each site, finding higher are associated longer periods, less precipitation before milder temperatures during maximum emergence. By analyzing multiple years comprehensive data, we provide robust models guide forecasting monitoring first time. Further, will aid decision-making timely suppress

Язык: Английский

A new growing degree-day phenology model for wheat stem sawfly (Hymenoptera: Cephidae) in Colorado wheat fields DOI Creative Commons

Henrique V Vieira,

Benjamin Z Bradford,

Adam Osterholzer

и другие.

PLoS ONE, Год журнала: 2025, Номер 20(4), С. e0320497 - e0320497

Опубликована: Апрель 7, 2025

Wheat stem sawfly (WSS), Cephus cinctus (Hymenoptera: Cephidae), is a native grass-feeding insect and one of the most important pests wheat in North America. Yield losses from WSS can be due to boring and/or cutting which causes plants lodge. Current methods, such as solid varieties insecticides, do not effectively control WSS. A better understanding emergence, population size, related environmental factors critical building efficient effective integrated pest management (IPM) strategies for this pest. In study, fields were sampled adult mid-April end June between 2011 2023 several field sites two locations Colorado. This multi-year data created phenology model that predicts emergence peak based on growing degree-day (GDD). The inter-annual variability timing calendar date was substantially reduced when using GDD with base temperature 10°C, an upper threshold 30°C, biofix Jan 1. predicted initial at 148 GDD, 224 decline 354 GDD. We also modeled effects mean populations each site, finding higher are associated longer periods, less precipitation before milder temperatures during maximum emergence. By analyzing multiple years comprehensive data, we provide robust models guide forecasting monitoring first time. Further, will aid decision-making timely suppress

Язык: Английский

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