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Revista Facultad Nacional de Agronomía Medellín

versão impressa ISSN 0304-2847

Resumo

PEREZ NARANJO, Juan Carlos et al. NIR Spectroscopy as Quick Exploratory Technique for Detection of Chrysanthemum Leaf Yellowing (Dendranthema grandiflora var. Zembla). Rev. Fac. Nac. Agron. Medellín [online]. 2014, vol.67, n.1, pp.7163-7168. ISSN 0304-2847.  https://doi.org/10.15446/rfnam.v67n1.42629.

The safe diagnostic of plant diseases depends on expensive techniques which require time and specialized training. This study evaluated the use of near-infrared spectroscopy (NIR) for the rapid detection of "chrysanthemum leaf yellowing", a disease of unknown etiology causing important economic losses in Antioquia's chrysanthemum main producing areas. Spectral NIR data from intact leaves showing different levels of yellowing (healthy leaves, slightly deformed leaves or highly deformed leaves with advanced yellowing), used in conjunction with multivariate statistical analysis of NIR spectra, were used to build a descriptive model for chrysanthemum leaf yellowing classification. The descriptive model indicated the presence of two groups of NIR spectra belonging to asymptomatic or symptomatic leaves, with no further differentiation of NIR spectra from leaves showing mild or severe yellowing symptoms. Not without the drawbacks of a low number of NIR spectra, these results suggests that it is possible to develop a fast, accurate and nondestructive, spectroscopic based system to detect this disease on blind plant samples. Improvements to the sensitivity of this model in detecting multiple stages of this disease will depend on obtaining and adding new NIR leaf spectra obtained from clearly defined ratings of the disease. Due to its sensitivity and wide application, NIR spectroscopy appear to be a core technique to further develop new systems for the early detection of chrysanthemum leaf yellowing and other plant diseases. This in turn may result in the design of opportune and timely systems for plant disease control.

Palavras-chave : Diagnostic of plant diseases; NIR spectroscopy; frenching; ornamental plants.

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