Relationship between log-normalized adult wheat stem sawfly in 100 sweeps made weekly and cumulative GDD over the thirteen years of sampling.

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posted on 2025-04-07, 17:27 authored by Henrique V. Vieira, Benjamin Z. Bradford, Adam Osterholzer, Erika S. Peirce, Darren Cockrell, Frank Peairs, Kenneth Frost, Russell Groves, Punya Nachappa

Each individual year’s WSS flight is illustrated with colored smooth-fit lines (method: loess), while the combined dataset is modeled using a GAM and shown in a bold red line. This model is the basis for generating the GAM degree-day model.

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provide robust models cephus cinctus analyzing multiple years 30 ° c 10 ° c solid stem varieties several field sites year data created effectively control wss longer emergence periods emergence timing based new growing degree milder maximum temperatures effective management strategies div >< p comprehensive phenology data mean wss populations higher wss populations population peak based wheat stem sawfly related environmental factors day phenology model phenology model milder temperatures growing degree environmental factors population peak suppress populations wss emergence stem cutting stem boring making related field site population size gdd model wss ),adult wss yield losses wheat fields upper threshold two locations substantially reduced north america native grass less precipitation jan 1 important pests gdd ).first time feeding insect current methods causes plants calendar date building efficient better understanding base temperature annual variability also modeled 354 gdd 224 gdd 148 gdd

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Relationship between log-normalized adult wheat stem sawfly in 100 sweeps made weekly and cumulative GDD over the thirteen years of sampling.

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