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    • Data and code from: Wild sources for host plant resistance to <i>Bemisia tabaci</i> in watermelon: insights from behavioral and chemical analyses

    Metadata Updated: December 2, 2025

    This dataset includes all raw data and statistical software code required to reproduce the analyses and graphics in the manuscript:McKenzie-Reynolds, P., Owolabi, I.A., Biswas, A., Read, Q.D., Burke, G.R., Levi, A. & Simmons, A.M. (2026). Wild sources for host plant resistance to Bemisia tabaci in watermelon: insights from behavioral and chemical analyses. Crop Protection, 199, 107411. https://doi.org/10.1016/j.cropro.2025.107411 (ARIS log 426869)Whitefly infestations, primarily caused by Bemisia tabaci, pose a significant threat to watermelon production, leading to severe yield losses and increased reliance on chemical pesticides. We did a study to evaluate the potential of the desert watermelon Citrullus colocynthis and other Citrullus species genotypes for resistance to B. tabaci using oviposition assays, vertical Y-tube olfactometer assays, and gas chromatography-mass spectrometry (GC-MS) analysis of plant volatiles. This dataset contains all the raw and processed data and statistical software code to reproduce the analyses and graphics in the associated manuscript. Our statistical analysis includes Bayesian generalized linear mixed models fit to the oviposition and Y-tube olfactometer datasets, with posterior distributions of the model parameters used to estimate means for each genotype and test hypotheses comparing them. In this dataset we have included CSV files of the raw data, R statistical software code contained in RMarkdown notebooks, HTML rendered output of the notebooks including all figures, tables, and textual description of the results, and pre-fit model objects so that the notebooks may be rendered without refitting the models. The findings in the accompanying manuscript provide critical insights into resistance mechanisms in C. colocynthis and advance sustainable watermelon production, reducing chemical pesticide dependence and enhancing economic returns for growers.A full description of all files included in the dataset is found in README.pdf.

    Access & Use Information

    Public: This dataset is intended for public access and use. License: Creative Commons CCZero

    Downloads & Resources

    Dates

    Metadata Created Date July 11, 2025
    Metadata Updated Date December 2, 2025

    Metadata Source

    Harvested from USDA JSON

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date July 11, 2025
    Metadata Updated Date December 2, 2025
    Publisher Agricultural Research Service
    Maintainer
    Identifier 10.15482/USDA.ADC/29161184.v1
    Data Last Modified 2025-11-26
    Public Access Level public
    Bureau Code 005:18
    Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
    Harvest Object Id d640e857-b65a-4f8f-b6d9-fb172ab6d434
    Harvest Source Id d3fafa34-0cb9-48f1-ab1d-5b5fdc783806
    Harvest Source Title USDA JSON
    License https://creativecommons.org/publicdomain/zero/1.0/
    Program Code 005:040
    Source Datajson Identifier True
    Source Hash f21864f05d33ce88226e3b2f0579a6e5335472763cd0e48a03ef0655379865f2
    Source Schema Version 1.1
    Temporal 2023-04-07/2025-02-21

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