Reporting forage nutritive value using near‐infrared reflectance spectroscopy

Abstract Despite the well‐documented merits of near‐infrared reflectance (NIR) spectroscopy for forage nutritive value analysis, recent studies reveal inconsistencies in accuracy of NIR‐predicted values. These findings underscore the critical need for robust validation efforts to ensure reliability. Employing visual tools, such as scatter plots comparing laboratory‐measured with NIR‐predicted values, enhances the interpretation and qualification of data. Standardized reporting of validation outcomes, including key metrics and best practices, is essential for ensuring data quality and fostering broader adoption of NIR spectroscopy across research and industry. In this article, we suggest guidelines for reporting NIR spectroscopy predictions and emphasize the need for independent validation as a required procedure to enhance the credibility and application of NIR spectroscopy for forage analysis.

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Publication Details

Journal
Crop Science
Published
2025-04-24
DOI
https://doi.org/10.1002/csc2.70063
Citations
3
Primary Topic
Spectroscopy and Chemometric Analyses
Type
article
Field-Weighted Citation Impact
2.26
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article

Reporting forage nutritive value using near‐infrared reflectance spectroscopy

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3 citations
Crop Science
Spectroscopy and Chemometric Analyses
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article

Reporting forage nutritive value using near‐infrared reflectance spectroscopy

Miguel S. Castillo, Joao M. B. Vendramini, Matthew F. Digman, T. C. Griggs, José Carlos Batista Dubeux, Carlos Guilherme Silveira Pedreira
article en
3 citations

Abstract

Abstract Despite the well‐documented merits of near‐infrared reflectance (NIR) spectroscopy for forage nutritive value analysis, recent studies reveal inconsistencies in accuracy of NIR‐predicted values. These findings underscore the critical need for robust validation efforts to ensure reliability. Employing visual tools, such as scatter plots comparing laboratory‐measured with NIR‐predicted values, enhances the interpretation and qualification of data. Standardized reporting of validation outcomes, including key metrics and best practices, is essential for ensuring data quality and fostering broader adoption of NIR spectroscopy across research and industry. In this article, we suggest guidelines for reporting NIR spectroscopy predictions and emphasize the need for independent validation as a required procedure to enhance the credibility and application of NIR spectroscopy for forage analysis.

Crop ScienceVol. 65(3)
West Virginia University (US), University of Wisconsin–Madison (US), North Carolina State University (US), Universidade de São Paulo (BR), University of Florida (US), Southwest Florida Research (US)
Openalex Percentile: Top 14%
Spectroscopy and Chemometric Analyses
2.26
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