Naslov
Polynomial trendline analysis in biological processes - photosynthetic pigments

Autori
Has-Schön, Elizabeta ; Lepeduš, Hrvoje ; Cesar, Vera

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
Book of Abstracts / Dumić, Jerka - Zagreb : Farmaceutsko-biokemijski fakultet Sveučilišta u Zagrebu, 2002, 123-124

Skup
First Croatian Congress on Molecular Life Sciences with international participation

Mjesto i datum
Opatija, Hrvatska, 09.06.2002. - 13.06.2002

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
photosynthetic pigments; trendline analysis

Sažetak
Biological processes inherently include time as a variable component. Therefore the results obtained by quantitative analysis are convinient to be evaluated with trendline calculations as the suitable method for time-dependent data processing. As the substrate the results of annual dynamic of photosynthetic pigments content in vegetative buds and young shoots, as well as one-year old needles of Picea abies and P. pungens were used in this paper. The special interest focused on period when photosynthetic pigments concentrations changes were greatest, what was from May to September, with exception in the case of one-year old needles of P. abies where it was from April to September. We showed that pigment concentrations changes in appointed period followed the polynomial function, with an almost perfect fitting (R2-value ranging from 0, 949 to 0, 999 in shoots and consequently young needles, and from 0, 783 to 0, 981 in one-year old needles, with average value of 0, 952). Fitting with logarithmic function was not so ideal (R2-value was lower in all cases, ranging from 0, 670 to 0, 956 in shoots and consequently young needles, and from 0, 326 to 0, 805 in one-year old needles, with average value of 0, 728). The calculated polynomial function equations differ in square, linear and free coefficients, depending on the intensity and nature of experimental data changes. The great relationship of these changes will be demonstrated in diagram, connecting the magnitude of each calculated equation coefficient for different pigments in all analysed samples. Presented investigation proved that trendline analysis could be useful in demonstrating the nature of time-dependent processes when they are discussed in correspondence with physiological background. Also, trendline analysis gave the additional arguments in interpretation of observed changes in photosynthetic pigment concentrations.

Izvorni jezik
Engleski

Znanstvena područja
Biologija

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