http://www.cnr.it/ontology/cnr/individuo/prodotto/ID13204
Two methods for the analysis of colorimetric components applied to plant stress monitoring (Articolo in rivista)
- Type
- Label
- Two methods for the analysis of colorimetric components applied to plant stress monitoring (Articolo in rivista) (literal)
- Anno
- 1998-01-01T00:00:00+01:00 (literal)
- Alternative label
Bacci L., De Vincenzi M., Rapi B., Arca B., Benincasa F. (1998)
Two methods for the analysis of colorimetric components applied to plant stress monitoring
in Computers and electronics in agriculture
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Bacci L., De Vincenzi M., Rapi B., Arca B., Benincasa F. (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
- Rivista
- Note
- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Titolo
- Two methods for the analysis of colorimetric components applied to plant stress monitoring (literal)
- Abstract
- Several authors have shown the possibility of early detection of many stress conditions in
plants by analysing leaf colour. The availability of portable instruments, increasingly
accurate and reliable, leads to the belief that, in the near future, this technique could be used
for routine analysis in the field. Nevertheless, due to the variability of the leaf colour
parameter and consequently to the large amount of data to be collected to obtain a
representative sample, direct analysis of chromaticity coordinate values, as generated by an
instrument, could give results that are hard to interpret, especially when the colour variation
to be detected is subtle, such as in leaves at the first stages of stress. The availability of
standard methodologies to analyse colorimetric data would allow them to be interpreted
correctly and, in a short time, to widen their fields of application. In this work two methods
of elaboration, with related software (PCA and COLORE) that give an objective evaluation
of colorimetric variations of stressed plants by means of specific indexes of alteration, are
illustrated. PCA, based on principal components analysis, allows two 'indexes', Tij and D, to
be calculated, that can describe the differences between two or more treatments. It also
allows the location of the different treatments on the chromaticity diagram to be graphically
represented. COLORE calculates the values of the dominant wavelength and purity of the
colour. From these, it computes the CI index that can be related to degree of stress. The two
softwares were applied to data from different studies of thermal and water stress in Sorghum
bicolor ((L.) Moench) and Citrus macrophylla (L). The results showed a clear correlation
between the colorimetric indexes and the ecophysiological parameters chosen as indicators of
stress. (literal)
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