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Raman-Based Diagnostics of Stalk Rot Disease of Maize Caused by Colletotrichum graminicola.
Farber, Charles; Bennett, John S; Dou, Tianyi; Abugalyon, Yousef; Humpal, Dillon; Sanchez, Lee; Toomey, Katie; Kolomiets, Michael; Kurouski, Dmitry.
Afiliación
  • Farber C; Department of Biochemistry and Biophysics, Texas A&M University, College Station, TX, United States.
  • Bennett JS; Department of Plant Pathology and Microbiology, Texas A&M University, College Station, TX, United States.
  • Dou T; Department of Biochemistry and Biophysics, Texas A&M University, College Station, TX, United States.
  • Abugalyon Y; Department of Biochemistry and Biophysics, Texas A&M University, College Station, TX, United States.
  • Humpal D; Department of Biochemistry and Biophysics, Texas A&M University, College Station, TX, United States.
  • Sanchez L; Department of Biochemistry and Biophysics, Texas A&M University, College Station, TX, United States.
  • Toomey K; Department of Plant Pathology and Microbiology, Texas A&M University, College Station, TX, United States.
  • Kolomiets M; Department of Plant Pathology and Microbiology, Texas A&M University, College Station, TX, United States.
  • Kurouski D; Department of Biochemistry and Biophysics, Texas A&M University, College Station, TX, United States.
Front Plant Sci ; 12: 722898, 2021.
Article en En | MEDLINE | ID: mdl-34484282
Stalk rot caused by Colletotrichum graminicola is a disease of worldwide importance. Stalk rot is difficult to detect at the early stages of infection because the fungus colonizes the tissues inside the maize stem. Current diagnostic methods are time-consuming, laborious, and destructive to the stem tissue. We utilized Raman spectroscopy to follow the development of stalk rot in three different maize genotypes grown either in the field or the greenhouse. We then used the acquired spectra to calibrate statistical models to differentiate amongst the different disease timepoints and the genotypes themselves. This non-invasive spectroscopic method enabled high-accuracy identification of stalk rot based on both stalk and leaf spectra. We additionally found that leaf spectra were favorable for identifying maize by genotype. Finally, we identified Raman bands that showed correlation with the sizes of stalk rot-associated lesions in the stems. We demonstrated that Raman spectroscopy is a viable tool for detection of stalk rot disease, as well as potent for the differentiation of maize genotypes.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Risk_factors_studies Idioma: En Revista: Front Plant Sci Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Risk_factors_studies Idioma: En Revista: Front Plant Sci Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza