View in EDS

Leaf level early assessment of ozone injuries by passive fluorescence and photochemical reflectance index.

Saved in:
Bibliographic Details
Title: Leaf level early assessment of ozone injuries by passive fluorescence and photochemical reflectance index.
Authors: Meroni, M.1 (AUTHOR) michele.meroni@unimib.it, Picchi, V.2 (AUTHOR), Rossini, M.1 (AUTHOR), Cogliati, S.1 (AUTHOR), Panigada, C.1 (AUTHOR), Nali, C.2 (AUTHOR), Lorenzini, G.2 (AUTHOR), Colombo, R.1 (AUTHOR)
Source: International Journal of Remote Sensing. Sep2008, Vol. 29 Issue 17/18, p5409-5422. 14p. 5 Graphs.
Subjects: Energy dissipation, Ozone, Plant physiology, Fluorescence, Xanthophylls, Photochemistry
Abstract: Excess energy dissipation pathways (heat and fluorescence) were monitored, at leaf level as indicators of plant physiological status, with field spectroscopy techniques on poplar clones subjected to ozone fumigation. Measurements of spectral radiance emerging from a leaf provide a fast, non-destructive method for the assessment of excess energy dissipation: xanthophyll-related heat dissipation was estimated with the photochemical reflectance index (PRI) calculated from a traditional field spectrometer, and steady-state fluorescence (Fs) under natural illumination conditions was estimated by exploiting a variation of the Fraunhofer line-depth principle, where the radiance collected with very high resolution spectrometers (FWHM = 0.13 nm) was spectrally modelled. Both remotely-sensed dissipation pathways responded to fumigation. During a 26-day fumigation experiment, four diurnal cycles of spectral measurements were collected in parallel to meteorological and key physiological variables (active fluorescence, net photosynthesis) and leaf sample collection for pigment extraction. We outline evidence of a link between the remotely-sensed Fs and PRI and leaf physiological status. These results open up new possibilities for assessment of plant stress by means of hyperspectral remote sensing. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Remote Sensing is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 34085110
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Leaf level early assessment of ozone injuries by passive fluorescence and photochemical reflectance index.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Meroni%2C+M%2E%22">Meroni, M.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> michele.meroni@unimib.it</i><br /><searchLink fieldCode="AR" term="%22Picchi%2C+V%2E%22">Picchi, V.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Rossini%2C+M%2E%22">Rossini, M.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cogliati%2C+S%2E%22">Cogliati, S.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Panigada%2C+C%2E%22">Panigada, C.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nali%2C+C%2E%22">Nali, C.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lorenzini%2C+G%2E%22">Lorenzini, G.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Colombo%2C+R%2E%22">Colombo, R.</searchLink><relatesTo>1</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Remote+Sensing%22">International Journal of Remote Sensing</searchLink>. Sep2008, Vol. 29 Issue 17/18, p5409-5422. 14p. 5 Graphs.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Energy+dissipation%22">Energy dissipation</searchLink><br /><searchLink fieldCode="DE" term="%22Ozone%22">Ozone</searchLink><br /><searchLink fieldCode="DE" term="%22Plant+physiology%22">Plant physiology</searchLink><br /><searchLink fieldCode="DE" term="%22Fluorescence%22">Fluorescence</searchLink><br /><searchLink fieldCode="DE" term="%22Xanthophylls%22">Xanthophylls</searchLink><br /><searchLink fieldCode="DE" term="%22Photochemistry%22">Photochemistry</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Excess energy dissipation pathways (heat and fluorescence) were monitored, at leaf level as indicators of plant physiological status, with field spectroscopy techniques on poplar clones subjected to ozone fumigation. Measurements of spectral radiance emerging from a leaf provide a fast, non-destructive method for the assessment of excess energy dissipation: xanthophyll-related heat dissipation was estimated with the photochemical reflectance index (PRI) calculated from a traditional field spectrometer, and steady-state fluorescence (Fs) under natural illumination conditions was estimated by exploiting a variation of the Fraunhofer line-depth principle, where the radiance collected with very high resolution spectrometers (FWHM = 0.13 nm) was spectrally modelled. Both remotely-sensed dissipation pathways responded to fumigation. During a 26-day fumigation experiment, four diurnal cycles of spectral measurements were collected in parallel to meteorological and key physiological variables (active fluorescence, net photosynthesis) and leaf sample collection for pigment extraction. We outline evidence of a link between the remotely-sensed Fs and PRI and leaf physiological status. These results open up new possibilities for assessment of plant stress by means of hyperspectral remote sensing. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Remote Sensing is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=34085110
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/01431160802036292
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 14
        StartPage: 5409
    Subjects:
      – SubjectFull: Energy dissipation
        Type: general
      – SubjectFull: Ozone
        Type: general
      – SubjectFull: Plant physiology
        Type: general
      – SubjectFull: Fluorescence
        Type: general
      – SubjectFull: Xanthophylls
        Type: general
      – SubjectFull: Photochemistry
        Type: general
    Titles:
      – TitleFull: Leaf level early assessment of ozone injuries by passive fluorescence and photochemical reflectance index.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Meroni, M.
      – PersonEntity:
          Name:
            NameFull: Picchi, V.
      – PersonEntity:
          Name:
            NameFull: Rossini, M.
      – PersonEntity:
          Name:
            NameFull: Cogliati, S.
      – PersonEntity:
          Name:
            NameFull: Panigada, C.
      – PersonEntity:
          Name:
            NameFull: Nali, C.
      – PersonEntity:
          Name:
            NameFull: Lorenzini, G.
      – PersonEntity:
          Name:
            NameFull: Colombo, R.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 10
              M: 09
              Text: Sep2008
              Type: published
              Y: 2008
          Identifiers:
            – Type: issn-print
              Value: 01431161
          Numbering:
            – Type: volume
              Value: 29
            – Type: issue
              Value: 17/18
          Titles:
            – TitleFull: International Journal of Remote Sensing
              Type: main
ResultId 1