Proof of Concept: NIR Spectroscopy Can Detect Rice Pathogen Burkholderia glumae in Artificially Inoculated Rice Seeds

Vista sencilla de ítem
dc.creatorMaghirang, Elizabeth B.
dc.creatorYaptenco, Kevin F.
dc.creatorVera Cruz, Casiano M.
dc.creatorNguyễn, Marian Hanna
dc.creatorArmstrong, Paul R.
dc.creatorPordesimo, Lester O.
dc.creatorSchepler-Luu, Van
dc.creatorScully, Erin D.
dc.date2026-04-16
dc.date2026-05-13T06:44:38Z
dc.date.accessioned2026-06-27T04:08:42Z
dc.descriptionStrong evidence that near-infrared (NIR) transmittance and reflectance spectroscopy can detect Burkholderia glumae contamination in bacterial suspensions and in individual rice seeds, respectively, is shown in this proof-of-concept study. For the B. glumae suspension (0.0 to 1.42 × 104 CFU ml−1), NIR transmittance spectroscopy using a partial least squares (PLS) regression calibration model (1,000 to 1,650 nm) showed a coefficient of determination (R2) of 0.984 and root mean square error of 0.031. For rice seeds treated in varying dilutions of B. glumae (0.0 to 4.52 log10 CFU ml−1 bacterial load in seeds), NIR reflectance spectroscopy using a selected PLS second derivative with Savitzky–Golay smoothing calibration model (1,000 to 1,650 nm) resulted in a coefficient of determination of calibration (R2Cal) of 0.97, root mean square error of calibration of 0.06, coefficient of determination of cross-validation (R2CV) of 0.93, and standard error of cross-validation of 0.08 at 7 factors; the independent validation showed a coefficient of determination of validation (R2Val) of 0.83 and standard error of prediction of 0.11. A two-category qualitative PLS calibration model (1,000 to 1,650 nm) correctly classified 94.7% of uninoculated and 100% of inoculated seeds, with independent validation of 90 and 100%, respectively. Predictions may be attributable to differences in aliphatic hydrocarbons, cellulose, amide, oil, protein, and starch contents across rice seeds that are uninoculated and inoculated at varying dilution levels. Developing NIR-based instrumentation for individual seed segregation of healthy from contaminated rice seeds can support a clean seed program and can be a useful tool for quarantine officers for seed exchange and farmers’ seed production.
dc.formatapplication/pdf
dc.identifierhttps://hdl.handle.net/10568/182888
dc.identifier.urihttp://hdl.handle.net/123456789/22990
dc.languageen
dc.publisherAmerican Phytopathological Society
dc.rightsOpen Access
dc.sourceMaghirang, Elizabeth Bonifacio, Kevin F. Yaptenco, Casiana M. Vera Cruz, Marian Hanna Nguyen, Paul R. Armstrong, Lester O. Pordesimo, Van T. Schepler-Luu, and Erin D. Scully. "Proof-of-Concept: NIR Spectroscopy Can Detect Rice Pathogen, Burkholderia glumae, in Artificially Inoculated Rice Seeds." Plant Health Progress 27, no. 2 (2025): 201-209.
dc.subjectinfrared spectrophotometry
dc.subjectblight
dc.subjectseed health
dc.subjectseed quality
dc.subjectrice
dc.subjectpanicles
dc.subjectpathogens
dc.subjectseed certification
dc.titleProof of Concept: NIR Spectroscopy Can Detect Rice Pathogen Burkholderia glumae in Artificially Inoculated Rice Seeds
dc.typeJournal Article

Archivos

Colecciones

Instituto Internacional de Investigación del Arroz (IRRI)