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Research Article
 

The Estimation of Regression Models for the Phytoplankton Growth



Tamer Kayaalp and Oya Isik
 
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ABSTRACT

The regression equations were estimated to determine the cell number and chlorophyll-a content. First, the growth curves were formed and then the regression equations were estimated for T. chuii and C. vulgaris. T. chuii was cultured at different temperatures and both T. chuii and C. vulgaris were cultured at different illumination levels. At the end of the study, coefficients of determination (R2) were found high and the parameters b and c were significant (p<0.01) by the estimation equations. The regression models which were formed for T. chuii cultures at the temperatures 20, 24 and 27 °C are ln Y = 12 + 1.25 ln (n) - 0.0051 (n), ln Y = 11.9 + 0.817 ln (n) - 0.0408 (n), ln Y = 11.5 + 1.36 ln (n) - 0.0323 (n), respectively. The estimation equations for T. chuii and C. vulgaris cultures at the 17 and 77 μ_Em-2s-1 light densities are ln Y = -0.724 + 0.106 ln (n) - 0.0334 (n) and ln Y = -0.460 + 0.867 ln (n) + 0.220 (n).

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  How to cite this article:

Tamer Kayaalp and Oya Isik , 2001. The Estimation of Regression Models for the Phytoplankton Growth. Pakistan Journal of Biological Sciences, 4: 1572-1575.

DOI: 10.3923/pjbs.2001.1572.1575

URL: https://scialert.net/abstract/?doi=pjbs.2001.1572.1575

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