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Data and code from: Environmental influences on drying rate of spray applied disinfestants from horticultural production services

dataset
posted on 2024-05-14, 16:18 authored by Warren CopesWarren Copes, Quentin ReadQuentin Read, Barbara J. Smith

This dataset includes all the data and R code needed to reproduce the analyses in a forthcoming manuscript:

Copes, W. E., Q. D. Read, and B. J. Smith. Environmental influences on drying rate of spray applied disinfestants from horticultural production services. PhytoFrontiers, DOI pending.

Study description: Instructions for disinfestants typically specify a dose and a contact time to kill plant pathogens on production surfaces. A problem occurs when disinfestants are applied to large production areas where the evaporation rate is affected by weather conditions. The common contact time recommendation of 10 min may not be achieved under hot, sunny conditions that promote fast drying. This study is an investigation into how the evaporation rates of six commercial disinfestants vary when applied to six types of substrate materials under cool to hot and cloudy to sunny weather conditions. Initially, disinfestants with low surface tension spread out to provide 100% coverage and disinfestants with high surface tension beaded up to provide about 60% coverage when applied to hard smooth surfaces. Disinfestants applied to porous materials were quickly absorbed into the body of the material, such as wood and concrete. Even though disinfestants evaporated faster under hot sunny conditions than under cool cloudy conditions, coverage was reduced considerably in the first 2.5 min under most weather conditions and reduced to less than or equal to 50% coverage by 5 min.

Dataset contents: This dataset includes R code to import the data and fit Bayesian statistical models using the model fitting software CmdStan, interfaced with R using the packages brms and cmdstanr. The models (one for 2022 and one for 2023) compare how quickly different spray-applied disinfestants dry, depending on what chemical was sprayed, what surface material it was sprayed onto, and what the weather conditions were at the time. Next, the statistical models are used to generate predictions and compare mean drying rates between the disinfestants, surface materials, and weather conditions. Finally, tables and figures are created.

These files are included:

  • Drying2022.csv: drying rate data for the 2022 experimental run
  • Weather2022.csv: weather data for the 2022 experimental run
  • Drying2023.csv: drying rate data for the 2023 experimental run
  • Weather2023.csv: weather data for the 2023 experimental run
  • disinfestant_drying_analysis.Rmd: RMarkdown notebook with all data processing, analysis, and table creation code
  • disinfestant_drying_analysis.html: rendered output of notebook
  • MS_figures.R: additional R code to create figures formatted for journal requirements
  • fit2022_discretetime_weather_solar.rds: fitted brms model object for 2022. This will allow users to reproduce the model prediction results without having to refit the model, which was originally fit on a high-performance computing cluster
  • fit2023_discretetime_weather_solar.rds: fitted brms model object for 2023
  • data_dictionary.xlsx: descriptions of each column in the CSV data files


Funding

USDA-ARS: 6062-21430-004-00D

History

Data contact name

Read, Quentin D.

Data contact email

quentin.read@usda.gov

Publisher

Ag Data Commons

Intended use

This dataset is intended to allow reproducibility of all data processing, statistical models and predictions, tables, and figures from the associated manuscript.

Use limitations

The R code included here cannot be used to analyze any other datasets other than the one included here.

Temporal Extent Start Date

2022-08-30

Temporal Extent End Date

2023-07-14

Frequency

  • irregular

Theme

  • Non-geospatial

Geographic Coverage

{ "type": "Point", "coordinates": [-89.5446, 30.8397] }

Geographic location - description

USDA-ARS Thad Cochran Southern Horticultural Laboratory, Poplarville, MS, USA

ISO Topic Category

  • environment
  • farming

National Agricultural Library Thesaurus terms

drying; horticulture; plant pathogens; evaporation rate; weather; surface tension; porous media; wood; concrete; data collection; computer software; Bayesian theory; statistical models; prediction; information processing

OMB Bureau Code

  • 005:18 - Agricultural Research Service

OMB Program Code

  • 005:040 - National Research

ARS National Program Number

  • 305

ARIS Log Number

0000413654

Pending citation

  • Yes

Related material without URL

Copes, W. E., Q. D. Read, and B. J. Smith. Environmental influences on drying rate of spray applied disinfestants from horticultural production services. PhytoFrontiers, DOI pending

Public Access Level

  • Public