plot.selection_simulation

Plot Method for Selection Simulation Results

Provides tools for the simultaneous improvement of multiple traits in plant breeding. Building upon the classical selection index (Smith 1937 <doi:10.1111/j.1469-1809.1936.tb02143.x>) and modern quantitative genetics (Kang 2020 <doi:10.1007/978-3-319-91223-3>), this package calculates classical phenotypic, genomic, marker-assisted, restricted/constrained, and eigen selection indices. It also incorporates multi-stage selection evaluation and stochastic simulations to estimate genetic advance based on economic weights, heritability, and genetic correlations.

Zankrut Goyani

selection.index

Analysis of Selection Index in Plant Breeding

plot.selection_simulation function

<dl><dt>x</dt>
<dd>Object of class <code>selection_simulation</code></dd>
<dt>trait_index</dt>
<dd>Which trait to plot (default: 1)</dd>
<dt>type</dt>
<dd>Type of plot: "mean" for mean genetic value, "gain" for genetic gain per cycle</dd>
<dt>...</dt>
<dd>Additional arguments passed to plot</dd></dl>

Arguments

Plot Method for Selection Simulation Results — plot.selection_simulation

<dl>

<dt>x</dt>
<dd>Object of class <code>selection_simulation</code></dd>


<dt>trait_index</dt>
<dd>Which trait to plot (default: 1)</dd>


<dt>type</dt>
<dd>Type of plot: "mean" for mean genetic value, "gain" for genetic gain per cycle</dd>


<dt>...</dt>
<dd>Additional arguments passed to plot</dd>

</dl>

plot.selection_simulation: Plot Method for Selection Simulation Results

Description

Usage

Arguments