Modelling Biomass Partitioning Data In Arabidopsis Thaliana L.

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Mayank Tripathi

Ecophysiology Laboratory, Department of Functional Plant Biology, SSJ University, Almora, 263 601 Uttarakhand, India

 

A three-parametric Gompertz function was applied to modelbiomass partitioning data in Arabidopsis thaliana L.Fitting and evaluation statistics of the model suggested that cumulative data of root biomass growth performed better than that of shoot growth while relative growth rate data demonstrated reverse trend. Both AGR and CGR peak was higher for shoot growth than root growth. Upper asymptotic values for both shoot and root growth came out to be 1.541 and 0.313 respectively at the end of growth cycle. Time- dependent analysis suggested that RGR declined exponentially over time and RGR-shoots (RGRs) was higher than that of RGR-roots (RGRr). Size-dependent RGR demonstrated that due to low rate of decline, RGRs was higher than that of RGRr.

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