DOI: 10.5061/dryad.c866t1gcs
title: Data from: Using perennial groundcover crops to suppress weeds and thrips in the southeast cotton belt

description: 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 burndown
 herbicide application, while treatments containing clovers were mowed.
 Plots were strip-tilled and planted with cotton in May each year. Interrow
 biomass, weed and thrips populations, and perennial clover populations
 were collected from June to October along with annual lint yields from
 cotton harvest in October.
description: Methods are detailed in the published manuscript: https://doi.org/10.1002/csc2.21048
description: # 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
 for the nearest NOAA weather station (Florence, SC Regional Airport).
 Units are provided in the column headers. **Tab 2:** These data were used
 to generate Figures 2a and 2b, featuring the amount of summer month
 interrow biomass during the cotton production season. Biomass in the RC+WC
 and ARG+RC+WC treatments is a mix of weeds and clovers, while ARG and
 fallow treatments are entirely comprised of weedy biomass **Tab 3:** These
 data were used to generate Figures 3a and 3b, featuring the weed
 populations in each treatment for each year of the study. **Tab 4:** These
 data were used to generate Figures 4a and 4b (white clover populations
 among treatments for each year) and Figures 5a and 5b (red clover
 populations for each year). **Tab 5:** These data were used to generate
 Figures 6a, 6b, 6c, and 6d, featuring the mature and immature thrip
 populations from each year of the study. **Tab 6:** These data were used
 to generate Figures 7a and 7b, with the final column (lint yield kg/ha)
 being calculated from the previous lbs/acre values. ## Sharing Access
 Information These data were originated from the published manuscript:
 https://doi.org/10.1002/csc2.21048.