The genotype with high values of this index will be more desirable

Functions tailored for scientific and student communities involved in plant science research. Functionalities encompass estimation chlorophyll content according to Arnon (1949) <doi:10.1104/pp.24.1.1>, determination water potential of Polyethylene glycol(PEG)6000 as in Michel and Kaufmann (1973) <doi:10.1104/pp.51.5.914> and functions related to estimation of yield related indices like Abiotic tolerance index as given by Moosavi et al.(2008)<doi:10.22059/JDESERT.2008.27115>, Geometric mean productivity (GMP) by Fernandez (1992) <ISBN:92-9058-081-X>, Golden Mean by Moradi et al.(2012)<doi:10.14207/ejsd.2012.v1n3p543>, HAM by Schneider et al.(1997)<doi:10.2135/cropsci1997.0011183X003700010007x>,MPI and TOL by Hossain etal., (1990)<doi:10.2135/cropsci1990.0011183X003000030030x>, RDI by Fischer et al. (1979)<doi:10.1071/AR9791001>,SSI by Fisher et al.(1978)<doi:10.1071/AR9780897>, STI by Fernandez (1993)<doi:10.22001/wvc.72511>,YSI by Bouslama & Schapaugh (1984)<doi:10.2135/cropsci1984.0011183X002400050026x>, Yield index by Gavuzzi et al.(1997)<doi:10.4141/P96-130>.

Ramesh Ramasamy

plantphysioR

Fundamental Formulas for Plant Physiology

gmp function

<dl><dt>Yp</dt>
<dd>Yield under control condition</dd>
<dt>Ys</dt>
<dd>Yield under stress condition</dd></dl>

Arguments

Geometric mean productivity (GMP) by Fernandez (1992) — gmp

<dl>

<dt>Yp</dt>
<dd>Yield under control condition</dd>


<dt>Ys</dt>
<dd>Yield under stress condition</dd>

</dl>

gmp: Geometric mean productivity (GMP) by Fernandez (1992)

Description

Usage

Value

Arguments

References

Examples