yield_data

Yield data of rice in kg/ha under two different growth conditions

datasets

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

yield_data function

A data frame with 50 rows and 3 variables:<dl>
<dt><code>Genotype</code></dt>
<dd>character Genotype</dd><dt><code>Yp</code></dt>
<dd>integer Yield under control condition</dd><dt><code>Ys</code></dt>
<dd>integer Yield under drought condition</dd>
</dl>

Format

Example data — yield_data

A data frame with 50 rows and 3 variables:<dl>
<dt><code>Genotype</code></dt>
<dd>character Genotype</dd>

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

<dt><code>Ys</code></dt>
<dd>integer Yield under drought condition</dd>


</dl>

yield_data: Example data

Description

Usage

Arguments

Format

References