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Data and code from: Comparison of infestation rates of fall armyworm (Lepidoptera: Noctuidae) neonates for maize resistance screening

dataset
posted on 2024-11-20, 22:43 authored by Sandra Woolfolk, Gerald "Boo" Matthews, Quentin ReadQuentin Read

This document contains all data and R statistical software code needed to reproduce the analyses presented in the manuscript:

Woolfolk, S., G. Matthews, and Q. D. Read. 2024. Comparison of infestation rates of fall armyworm (Lepidoptera: Noctuidae) neonates for maize resistance screening. Journal of Insect Science. (Citation to be updated)

Summary

The data included here come from an experiment to assess a technique for measuring resistance of maize to fall armyworm. An economically important global maize pest, fall armyworm (FAW, Spodoptera frugiperda), causes damage mainly to the above-ground parts of maize plants, primarily the whorl tissues. One of our research unit missions is to identify and develop maize germplasm with resistance to FAW. One method to measure resistance in maize to FAW is visual rating of leaf-feeding damage after infestation with neonates into the whorl. The data presented here are from a replicated experiment crossing eleven maize lines (four susceptible and seven resistant) with five FAW infestation rates; the experiment was repeated in two consecutive years. The measured response was leaf feeding damage on a categorical scale.

The statistical model presented here is a cumulative logistic mixed model. It treats the response variable (leaf damage rating) as an ordered categorical response. We include a random effect to account for the split-plot design, and include three-way interactions between fixed effects of genotype, treatment, and year. We present means for each genotype and treatment based on the underlying modeled probabilities of each category (weighted averages of the modeled probabilities).

Files

  • FAW_combinedyears.csv: All experimental data, with the following columns:
    • Year: Year of data collection (2023 or 2024)
    • Row: Numeric identifier of row
    • Rep: Numeric identifier of replicate block
    • Entry: Numeric identifier of genotype
    • Pedigree: Text identifier of genotype
    • Treatment: Number of neonates per whorl (10, 20, 30, 40, 50)
    • Plant: Numeric identifier of individual plant within row
    • Rating: Categorical leaf-feeding damage rating (scale of 0-9)
  • FAW_analysis.Rmd: RMarkdown notebook with all R statistical code to reproduce analyses
  • FAW_analysis.html: HTML rendered output of Rmd notebook

Funding

USDA-ARS: 6064-21000-018-000-D

History

Data contact name

Read, Quentin D.

Data contact email

quentin.read@usda.gov

Publisher

Ag Data Commons

Intended use

This dataset contains all data and R code needed to reproduce the analyses presented in the manuscript.

Use limitations

The R code should not be used to analyze other datasets other than the one included here, unless it is modified appropriately.

Temporal Extent Start Date

2023-05-04

Temporal Extent End Date

2024-05-10

Frequency

  • irregular

Theme

  • Non-geospatial

Geographic Coverage

{ "type": "FeatureCollection", "features": [ { "type": "Feature", "geometry": { "type": "Point", "coordinates": [ -88.7808, 33.4705 ] }, "properties": {} } ] }

Geographic location - description

R. R. Foil Plant Science Research Center, Mississippi State, MS, USA 33.4705 N, 88.7808 W

ISO Topic Category

  • farming
  • biota

National Agricultural Library Thesaurus terms

Spodoptera frugiperda; neonates; corn; computer software; insects; pests; aerial parts; Zea mays; germplasm; leaves; statistical models; genotype; data collection; host plants

OMB Bureau Code

  • 005:18 - Agricultural Research Service

OMB Program Code

  • 005:040 - National Research

ARS National Program Number

  • 301

ARIS Log Number

421132

Pending citation

  • No

Related material without URL

Woolfolk, S., G. Matthews, and Q. D. Read. (In Review). Comparison of infestation rates of fall armyworm (Lepidoptera: Noctuidae) neonates for maize resistance screening. Journal of Insect Science.

Public Access Level

  • Public