Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Skip to content

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: July 11, 2025

This dataset includes all raw data and statistical software code required to reproduce the analyses and graphics in the manuscript:McKenzie-Reynolds, P., I. A. Owolabi, G. R. Burke, A. Levi, A. M. Simmons, and Q. D. Read. 2025. Wild sources for host plant resistance to Bemisia tabaci in watermelon: insights from behavioral and chemical analyses. Crop Protection, in review. Citation pending. (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 July 11, 2025

Metadata Source

Harvested from USDA JSON

Additional Metadata

Resource Type Dataset
Metadata Created Date July 11, 2025
Metadata Updated Date July 11, 2025
Publisher Agricultural Research Service
Maintainer
Identifier 10.15482/USDA.ADC/29161184.v1
Data Last Modified 2025-06-09
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 596dea27-ffa9-4f79-a211-5d2176cefa79
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 41bd462fbaf559d9dc3423c5f5dd24f2cced5cd6fe12a5bcdcd7a22818592421
Source Schema Version 1.1
Temporal 2023-04-07/2025-02-21

Didn't find what you're looking for? Suggest a dataset here.