Review Paper:
GRC and pathway
analysis: significance and applications in exploring RGR in plants
Tripathi Mayank
Res. J. Chem. Environ; Vol. 25(7); 191-193;
doi: https://doi.org/10.25303/257rjce19121; (2021)
Abstract
Utility of some modern methods (Growth Response Coefficient and Pathway Analysis)
in analysing RGR and its components (NAR, SLA, LMF) has been depicted in the present
study. Studies related to RGR are complex. Moreover, it is impractical for a researcher
to study the entire spectrum of plant functional groups due to abundance and diversity
of species in nature. RGR often varies between functional groups and in different
environmental conditions as well. It is desirable to observe and identify characteristic
patterns in plant growth models for better management practices.
To achieve this goal, a more holistic approach is adopted which scrutinizes experimental
data from number of independent studies in order to establish overall trends in
RGR. The method is called meta-analysis. The, above mentioned statistical methods
can further assist evolutionary biologists in tracing the evolutionary and phylogenetic
characteristics of plants, the knowledge of which can be applied for modelling RGRs
in future.
