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ARS Home » Southeast Area » Athens, Georgia » U.S. National Poultry Research Center » Toxicology & Mycotoxin Research » Research » Publications at this Location » Publication #418838
Research Project: Strategies to Reduce Mycotoxin Contamination in Animal Feed and its Effect in Poultry Production Systems

Location: Toxicology & Mycotoxin Research

Title: Data and code from: Mycotoxin contamination & the nutritional content of corn targeted for animal feed

Author
item Pokoo-Aikins, Anthony
item Mitchell, Trevor
item Hawkins, Jaci
item Adams, Lincoln
item Shanmugasundaram, Revathi
item Glenn, Anthony
item Gold, Scott
item Read, Quentin
item McDonough, Callie
item Li, Xiang
item RODEWALD, ELSIANNA - Mississippi State University
item ACHARYA, PRATIMA - Mississippi State University

Submitted to: Ag Data Commons
Publication Type: Database / Dataset
Publication Acceptance Date: 9/13/2024
Publication Date: 9/13/2024
Citation: Pokoo-Aikins, A., Mitchell, T.R., Hawkins, J.A., Adams, L.F., Shanmugasundaram, R., Glenn, A.E., Gold, S.E., Read, Q.D., Mcdonough, C.M., Li, X., Rodewald, E., Acharya, P. 2024. Data and code from: Mycotoxin contamination & the nutritional content of corn targeted for animal feed. Ag Data Commons. https://doi.org/10.15482/USDA.ADC/26956279.
DOI: https://doi.org/10.15482/USDA.ADC/26956279

Interpretive Summary: This data object contains all the data and R statistical software code that is needed to reproduce the analyses and data visualizations in the associated manuscript published in the journal Poultry Science. The objective of the study was to assess how much mycotoxin contamination could be detected in corn samples collected from around the United States, destined for animal feed. We also looked at whether the level of mycotoxin contamination affected the nutrient content of the corn. Here we present the raw data and the R code needed to process the data, make plots, fit statistical models, and test whether the relationships betwen different mycotoxin concentrations and the content of different nutrients are significantly positive or negative. This study provides further evidence that multiple mycotoxins commonly co-contaminate com, and the fungi and/or mycotoxins impact the nutrient content of corn.

Technical Abstract: This dataset includes all data and R statistical code needed to reproduce the analysis and data visualizations in the associated manuscript published in the journal Poultry Science. We model the effect of mycotoxin concentration on the concentration of several different nutrients in corn. We include main effects of the different mycotoxins as well as two-way interactions between each pair of mycotoxins. We also include analysis of mycotoxin effects on the L variable from the color analysis, because it seems to be the one most important for determining the overall color of the corn. We use AIC to compare the models with and without interaction terms. We find that the models without interaction terms are better so we omit the interactions. We present adjusted R-squared values for each model as well as the p-values associated with the average slopes (effect of each mycotoxin on each nutrient). We find that there are significant associations of mycotoxin concentration on protein, fat, and starch, but not fiber. Most of the associations are negative except that DON and FUM have opposing effects on protein (higher FUM associated with higher protein, lower DON associated with higher protein, and the opposite pattern in starch). There is a positive association between FUM concentration and moisture content. Increased AFB1 is also associated with a lower value of L (darker color).