Predictive capability of a leaf optical meter for determining leaf pigment status during senescence

We conducted an experiment to assess the predictive capability of a leaf optical meter for determining leaf pigment status of Acer mono Maxim., A. ginnala Maxim., Quercus mongolica Fisch., and Cornus alba displaying a range of visually different leaf colors during senescence. Concentrations of chlor...

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Bibliographic Details
Published inPhotosynthetica Vol. 55; no. 3; pp. 543 - 552
Main Authors Li, G.Y., Aubrey, D.P., Sun, H.Z.
Format Journal Article
LanguageEnglish
Published Praha The Institute of Experimental Biology of the Czech Academy of Sciences 01.09.2017
Springer Nature B.V
Springer
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Summary:We conducted an experiment to assess the predictive capability of a leaf optical meter for determining leaf pigment status of Acer mono Maxim., A. ginnala Maxim., Quercus mongolica Fisch., and Cornus alba displaying a range of visually different leaf colors during senescence. Concentrations of chlorophyll (Chl) a , Chl b , and total Chl [ i.e ., Chl ( a+b )] decreased while the concentration of carotenoids (Car) remained relatively static for all species as leaf development continued from maturity to senescence. C. alba exhibited the lowest average concentration of Chl ( a+b ), Chl a , and Car, but the highest relative anthocyanin concentration, while Q. mongolica exhibited the highest Chl ( a+b ), Chl b , and the lowest relative anthocyanin concentration. A. mono exhibited the highest Chl a and Car concentrations. The relationships between leaf pigments and the values measured by the optical meter generally followed an exponential function. The strongest relationships between leaf pigments and optical measurements were for A. mono, A. ginnala , and Q. mongolica ( R 2 ranged from 0.64 to 0.95), and the weakest relationships were for C. alba ( R 2 ranged from 0.13 to 0.67). Moreover, optical measurements were more strongly related to Chl a than to Chl b or Chl ( a+b ). Optical measurements were not related to Car or relative anthocyanin concentrations. We predicted that weak relationships between leaf pigments and optical measurements would occur under very low Chl concentrations or under very high anthocyanin concentrations; however, these factors could not explain the weak relationship between Chl and optical measurements observed in C. alba . Overall, our results indicated that an optical meter can accurately estimate leaf pigment concentrations during leaf senescence — a time when pigment concentrations are dynamically changing — but that the accuracy of the estimate varies across species. Future research should investigate how species-specific leaf traits may influence the accuracy of pigment estimates derived from optical meters.
Bibliography:USDOE Office of Environmental Management (EM)
EM0004391
ISSN:0300-3604
1573-9058
DOI:10.1007/s11099-016-0678-8