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Improving nitrogen use efficiency in rice by estimating leaf nitrogen content with near-infrared spectroscopy and chemometric modeling.

Scientific reports - 15 Dec 2025

Quiroga-Mosquera Audberto, Santos-Rivera Mariana, Guzmán-Prada Diego, Casas Jorge, Ishitani Manabu, Selvaraj Michael Gomez

Abstract excerpt

Accurate nitrogen management in rice (Oryza sativa L.) is essential for optimizing both crop productivity and environmental sustainability. This study evaluated the potential of Near-Infrared Spectroscopy (NIRS) combined with chemometric modeling to classify leaf nitrogen content (LNC) in five rice genotypes (Nerica, Rufipogon, IR64, Ciherang, and Curinga) subjected to five nitrogen fertilization levels (0%, 25%,...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 41398417
DOI: 10.1038/s41598-025-27389-9
PMCID: PMC12706053

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