Miguel S. Castillo, Thomas C. Griggs, Matthew F. Digman, João M. B. Vendramini, Jose C. B. Dubeux Jr., Carlos G. S. Pedreira
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Reporting forage nutritive value using near-infrared reflectance spectroscopy
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.
期刊介绍:
Articles in Crop Science are of interest to researchers, policy makers, educators, and practitioners. The scope of articles in Crop Science includes crop breeding and genetics; crop physiology and metabolism; crop ecology, production, and management; seed physiology, production, and technology; turfgrass science; forage and grazing land ecology and management; genomics, molecular genetics, and biotechnology; germplasm collections and their use; and biomedical, health beneficial, and nutritionally enhanced plants. Crop Science publishes thematic collections of articles across its scope and includes topical Review and Interpretation, and Perspectives articles.