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July 29, 2026AgriEngineeringOpen Access

Potential of Laboratory VIS–NIR–SWIR Spectroscopy to Estimate Dry Matter, Crude Protein, and Neutral Detergent Fiber in Urochloa brizantha Tropical Pastures

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Authors

MCM. CaronUniversidade de São PauloCSCarlos Augusto Alves Cardoso SilvaUniversidade de São PauloRRRodnei RizzoUniversidade de São Paulo

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Implication

Randomized trial develops predictive models for nutritional analysis in tropical pastures, indicating potential applications in cattle nutrition.

Key Points

  • This research aims to create predictive models for assessing dry matter yield, crude protein, and neutral detergent fiber in Urochloa brizantha pastures.
  • Samples collected from 200 ha of Urochloa brizantha-managed pastures in 2023.
  • Forage samples analyzed using VIS-NIR-SWIR spectroscopy and Partial Least Squares Regression (PLSR).
  • Informative wavelengths selected using Variable Importance in Projection (VIP) scores.
  • Models demonstrated acceptable performance for crude protein (R2CV = 0.74) and neutral detergent fiber (R2CV = 0.72).
  • Full-spectrum models showed moderate performance for crude protein (R2CV = 0.57) and acceptable performance for NDF (R2CV = 0.75).
  • DM prediction exhibited poor temporal transferability compared to CP and NDF.

Cite This Study

Caron et al. (2026) studied this question.

synapsesocial.com/papers/6a69a2d4c8da07d9defa6d16https://doi.org/10.3390/agriengineering8080305
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