Data and code from: Establishment of southern highbush blueberry cultivars and suppression of Phytophthora root rot using cover crop and soil amendment treatments
This dataset contains all data and R statistical software code needed to reproduce the analyses presented in the paper:
Smith, B.J., Stafne, E.T. & Read, Q.D. (2025). Establishment of Southern Highbush Blueberry Cultivars and Suppression of Phytophthora Root Rot Using Cover Crop and Soil Amendment Treatments. PhytoFrontiers. https://doi.org/10.1094/PHYTOFR-09-24-0096-R
Summary
Phytophthora root rot is a major disease of blueberry that often relies on cultural practices including the addition of soil amendments for disease management. We evaluated the effect of three cover crops on the establishment and growth of southern highbush blueberry (SHB) plants and their ability to suppress Phytophthora root rot infection of plants. This dataset includes data from soil chemical analyses (Table 1), soil pH and electrical conductivity measurements (Table 2), plant leaf, flower, crop load, and fruit ratings (Table 3), plant vigor rating and survival rate (Table 3), stem count, length, weight, and survival (Table 4), root length, diameter, and weight (Table 5). In addition, seedling weight and count data from a blueberry seedling assay (Table 6) and a lupine seedling assay (Table 7) are included.
The associated RMarkdown notebook includes statistical models to analyze all datasets presented here. Linear mixed models, generalized linear mixed models, generalized additive models, and cumulative logistic mixed models are fit where appropriate. A combination of Bayesian and frequentist methods are used; some of the frequentist models include Bayesian-style prior distributions on fixed effects. Models are described in more detail in the notebook.
Files included
- Smith BB cover crop 7 data sets 10.9.24.xlsx: Excel spreadsheet with seven tabs containing all raw data and explanation of contents
- blueberry_covercrop_analysis.Rmd: RMarkdown notebook containing all R code for statistical analysis presented in manuscript, with text explanations
- blueberry_covercrop_analysis.html: HTML rendered output of Rmd notebook
Version history
V2 replaces blueberry_covercrop_analysis.Rmd and blueberry_covercrop_analysis.html with new versions. This corrects an error in the statistical analysis code from the previous version.
Funding
USDA-ARS: 6062-21430-004-00D
History
Data contact name
Read, Quentin D.Data contact email
quentin.read@usda.govPublisher
Ag Data CommonsIntended use
This dataset is intended to enable anyone to reproduce the statistical analyses presented in the above cited manuscript.Use limitations
The associated R code should not be used to analyze other datasets than the one presented here, unless it is suitably modified.Temporal Extent Start Date
2016-03-01Temporal Extent End Date
2022-07-31Frequency
- irregular
Theme
- Non-geospatial
Geographic Coverage
{ "type": "FeatureCollection", "features": [ { "type": "Feature", "geometry": { "type": "Point", "coordinates": [ -89.84278, 31.42667 ] }, "properties": {} } ] }Geographic location - description
United States Department of Agriculture (USDA), Agricultural Research Service (ARS), Thad Cochran Southern Horticultural Laboratory (TCSHL) in Poplarville, MS, USA 31.42667 N, 89.84278 WISO Topic Category
- farming
- biota
National Agricultural Library Thesaurus terms
Vaccinium corymbosum; cultivars; root rot; cover crops; soil amendments; data collection; computer software; fruit diseases; blueberries; chemical analysis; soil pH; electrical conductivity; leaves; fruits; seedlings; Lupinus; plant disease control; Phytophthora cinnamomiOMB Bureau Code
- 005:18 - Agricultural Research Service
OMB Program Code
- 005:040 - National Research
ARS National Program Number
- 305
ARIS Log Number
421227Pending citation
- No
Public Access Level
- Public