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ARS Home » Southeast Area » Mississippi State, Mississippi » Crop Science Research Laboratory » Corn Host Plant Resistance Research » Research » Publications at this Location » Publication #421132
Research Project: Genetic Improvement of Maize for Resistance to Aflatoxin Accumulation and Fall Armyworm Damage

Location: Corn Host Plant Resistance Research

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

Author
item Woolfolk, Sandra
item Matthews, Gerald - Boo
item Read, Quentin

Submitted to: Ag Data Commons
Publication Type: Database / Dataset
Publication Acceptance Date: 11/20/2024
Publication Date: 11/20/2024
Citation: Woolfolk, S.W., Matthews Jr, G.A., Read, Q.D. 2024. Data and code from: Comparison of infestation rates of fall armyworm (Lepidoptera: Noctuidae) neonates for maize resistance screening. Ag Data Commons. https://doi.org/10.15482/USDA.ADC/27695847.v1.
DOI: https://doi.org/10.15482/USDA.ADC/27695847.v1

Interpretive Summary: Fall armyworm (FAW) is a globally important pest of maize. An important step in breeding maize that is resistant to FAW is to have a reliable way of measuring resistance. This is a dataset with the raw data and the statistical software code to analyze data from a study of the optimal amount of FAW needed to best distinguish between resistant and susceptible maize varieties. In the study, we recorded the level of FAW damage on different genotypes of maize with different numbers of young FAW inoculated on them. The goal was to determine how many FAW per leaf are ideal for distinguishing resistance. This dataset includes all the raw data and all the R statistical software code that we used to analyze the data and produce all the outputs that are in the figures, tables, and text of the associated manuscript.

Technical Abstract: This dataset includes all the raw data and all the R statistical software code that we used to analyze the data and produce all the outputs that are in the figures, tables, and text of the associated manuscript. 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 fit in the associated R code 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).