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Generating Interactive 3D Spatial Visualizations of Microbial Abundance in Poultry Litter Using RStudio.

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Interactive 3D visualizations reveal spatial patterns in poultry litter microbiology. This method highlights microbial clustering near moisture sources, offering a new way to analyze pen environments.

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Area of Science:

  • Agricultural Science
  • Microbiology
  • Data Visualization

Background:

  • Traditional poultry litter assessments lack spatial detail.
  • Static data representations fail to capture environmental heterogeneity.

Purpose of the Study:

  • To develop interactive 3D visualizations for poultry litter analysis.
  • To integrate microbial data with environmental parameters.
  • To explore spatial gradients in poultry pen environments.

Main Methods:

  • A grid-based sampling approach was used for poultry pens.
  • Simulated and experimental datasets were processed in RStudio.
  • Interactive 3D plots were generated using plotly.

Main Results:

  • Aerobic bacterial loads varied from 5.9 to 8.6 log₁₀ CFU/g.
  • Higher bacterial abundance was observed near water lines (P = 0.023).
  • 3D plots showed microbial clustering around moisture-rich areas.

Conclusions:

  • Interactive 3D visualization is a powerful tool for analyzing poultry litter spatial heterogeneity.
  • The protocol provides a reproducible method for visualizing microbial communities.
  • Further validation in commercial settings is recommended.