Evaluation of Rhodotorula growth on solid substrate via a linear mixed effects model
Tereza Krulikovská,
Eva Jarošová and
Petra Patáková
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Tereza Krulikovská: Department of Fermentation Chemistry and Bioengineering, Faculty of Food and Biochemical Technology, Institute of Chemical Technology Prague, Prague, Czech Republic
Eva Jarošová: Skoda Auto University, Mladá Boleslav, Czech Republic
Petra Patáková: Department of Fermentation Chemistry and Bioengineering, Faculty of Food and Biochemical Technology, Institute of Chemical Technology Prague, Prague, Czech Republic
Czech Journal of Food Sciences, 2011, vol. 29, issue 4, 400-410
Abstract:
The growth of Rhodotorula glutinis and Rhodotorula mucilaginosa was studied under optimal and stress cultivation conditions at 10°C and 20°C for 14 days. The method of image analysis was used to determine the size of colonies. The linear mixed effects model implemented in the statistical program S-PLUS was applied to analyse the repeated measurements. Two-phase kinetics was confirmed and the mean growth rates in the second linear phase under various stress conditions were estimated. The results indicated a higher growth rate of R. mucilaginosa than was that of R. glutinis under all cultivation conditions. The highest growth rate of was observed during the cultivation of R. mucilaginosa in media with 2% of NaCl at 20°C. The impact of neglecting the fact that repeated data are not independent and using the classical regression model instead of the mixed effects model was demonstrated through the comparison of the confidence intervals for the parameters based on both approaches. While the point estimates of the corresponding parameters were similar, the width of the confidence intervals differed substantially.
Keywords: confidence intervals; giant colony; growth curves; image analysis; solid substrate cultivation (search for similar items in EconPapers)
Date: 2011
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Persistent link: https://EconPapers.repec.org/RePEc:caa:jnlcjf:v:29:y:2011:i:4:id:327-2009-cjfs
DOI: 10.17221/327/2009-CJFS
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