ge_data

<code>ge_data</code> is used for performing Genotypes by Environment Interaction (GEI) Analysis.

datasets

Provides functionalities for performing stability analysis of genotype by environment interaction (GEI) to identify superior and stable genotypes across diverse environments. It implements Eberhart and Russell’s ANOVA method (1966)(<doi:10.2135/cropsci1966.0011183X000600010011x>), Finlay and Wilkinson’s Joint Linear Regression method (1963) (<doi:10.1071/AR9630742>), Wricke’s Ecovalence (1962, 1964), Shukla’s stability variance parameter (1972) (<doi:10.1038/hdy.1972.87>), Kang’s simultaneous selection for high yield and stability (1991) (<doi:10.2134/agronj1991.00021962008300010037x>), Additive Main Effects and Multiplicative Interaction (AMMI) method and Genotype plus Genotypes by Environment (GGE) Interaction methods.

Muhammad Yaseen

stability

Stability Analysis of Genotype by Environment Interaction (GEI)

ge_data function

A <code>data.frame</code> 1320 obs. of 6 variables.

Format

<ol>
<li>Muhammad Yaseen (<a href="/link/myaseen208%40gmail.com?package=stability&version=0.6.0" data-mini-rdoc="stability::myaseen208@gmail.com">myaseen208@gmail.com</a>)</li>
<li>Kent M. Edkridge (<a href="/link/keskridge1%40unl.edu?package=stability&version=0.6.0" data-mini-rdoc="stability::keskridge1@unl.edu">keskridge1@unl.edu</a>)</li>
</ol>

Author

Data for Genotypes by Environment Interaction (GEI) — ge_data

<ol>
<li>Muhammad Yaseen (<a href='mailto:myaseen208@gmail.com'>myaseen208@gmail.com</a>)</li>
<li>Kent M. Edkridge (<a href='mailto:keskridge1@unl.edu'>keskridge1@unl.edu</a>)</li>
</ol>

ge_data: Data for Genotypes by Environment Interaction (GEI)

Description

Usage

Arguments

Format

Author

Details

References

Examples