Using perennial groundcover crops to suppress weeds and thrips in the southeast cotton belt

This is digital research data corresponding to a published manuscript, Using perennial groundcover crops to suppress weeds and thrips in the southeast cotton belt, in Crop Science, Vol. 63 p. 3037 - 3050.
Modern cotton production (Gossypium hirsutum L.) in the United States relies on chemical and physical inputs that increase the environmental and monetary costs of managing the crop. Perennial groundcover crops (PGCC) may reduce inputs by persisting in the interrow spaces of the cotton crop during summer months. A 2-year field study was conducted in Florence, SC, to evaluate growing PGCCs with cotton using a 4 × 4 Latin square consisting of four cover crop treatments: (1) a fallow, unplanted control, (2) annual ryegrass (Lolium multiflorum Lam.) monoculture, (3) a binary red clover (Trifolium pratense L.) and white clover (Trifolium repens L.) mixture, and (4) a trinary mixture of annual ryegrass, red clover, and white clover. Fallow and annual ryegrass treatments were killed with a bur..., Methods are detailed in the published manuscript: https://doi.org/10.1002/csc2.21048, , # Data from: Using perennial groundcover crops to suppress weeds and thrips in the southeast cotton belt

This dataset was used to generate 7 figures in the publication, \"Using Perennial Groundcover Crops to Suppress Weeds and Thrips in the Southeast Cotton Belt\". All data was collected in Florence, South Carolina at the Clemson University Pee Dee Research and Education Center during 2021 and 2022.

# Description of dataset and file structure

Data is presented in an Microsoft Excel Spreadsheet, with separate tabs for datasets related to each of the 7 figures/subfigures in the published manuscript.

For all data the following treatment abbreviations are used:

Fallow = weedy, unplanted treatment
ARG = annual ryegrass
RC+WC = 50/50 mixture of red and white clover
ARG+RC+WC = 50% annual ryegrass, 25% red clover, and 25% white clover

**Tab 1:** These data were used to generate Figure 1, featuring mean weather data for the study years, 2021 & 2022, along with 30-year mean weather data ...