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ARS Home » Southeast Area » Byron, Georgia » Fruit and Tree Nut Research » Research » Publications at this Location » Publication #427434
Research Project: Novel Approaches for Managing Key Pests of Peach and Pecan

Location: Fruit and Tree Nut Research

Title: Data and code from: Electron beam irradiation for management of in-shell pecan weevil larvae (Coleoptera: Curculionidae)

Author
item Cottrell, Ted
item Read, Quentin
item STARNS, CHIP - Reveam, Inc

Submitted to: Ag Data Commons
Publication Type: Database / Dataset
Publication Acceptance Date: 7/7/2025
Publication Date: 7/8/2025
Citation: Cottrell, T.E., Read, Q.D., Starns, C. 2025. Data and code from: Electron beam irradiation for management of in-shell pecan weevil larvae (Coleoptera: Curculionidae). Ag Data Commons. 14:52. https://doi.org/10.15482/USDA.ADC/26947828.
DOI: https://doi.org/10.15482/USDA.ADC/26947828

Interpretive Summary: Pecan weevils cause massive economic damage to the pecan crop. We may be able to use radiation to manage this important pest. In the study associated with this dataset, we exposed pecan weevils to e-beam radiation with different levels of protection. We compared their probability of survival over time under those different conditions to determine whether radiation could be an effective way to manage pecan weevils. This dataset includes all the data and the statistical software code needed to reproduce the analyses, graphs, and tables in the associated paper. This includes importing the data and fitting a special type of mixed model appropriate for survival data. All results are included as well as the pre-fit model object.

Technical Abstract: Pecan weevils are an economically important pest of pecans. Irradiation treatment has been suggested as a means of managing this pest and satisfying quarantine restrictions. This dataset contains all raw data and statistical code necessary to reproduce the analyses and data visualizations presented in the associated manuscript. We present a survival analysis of pecan weevils that were exposed to e-beam radiation under different conditions. This dataset includes the raw observations of mortality in CSV format and an RMarkdown notebook that goes through the steps of importing, processing, and visualizing the data, fitting a Bayesian binomial generalized linear mixed model with complementary log-log link function (equivalent to a proportional hazards survival model in this case), and producing model predictions in table and figure form. We also include the rendered HTML output of the notebook, as well as a pre-fit model object (.rds format) if it is desired to reproduce the model predictions without having to refit the model.