maize

Dataset1: a tibble containing GEN, Trait, <code>WAASB</code> and <code>WAASBY</code> indexes.

datasets

This tool proposes a new ranking algorithm that utilizes a "Y*WAASB" biplot generated by the 'metan'. The aim of the current package is to effectively distinguish the top-ranked genotypes in MET (Multi-Environmental Trials). For a detailed explanation of the process of obtaining "WAASB", "WAASBY" indices, and a "Y*WAASB" biplot, refer to the manual included in this package as well as the study by Olivoto & Lúcio (2020) <doi:10.1111/2041-210X.13384>. In this context, "WAASB" refers to the "Weighted Average of Absolute Scores" provided by Olivoto et al. (2019) <doi:10.2134/agronj2019.03.0220>, which quantifies the stability of genotypes across different environments using linear mixed-effect models. To run the package, you need to extract the "WAASB" and "WAASBY" coefficients using the 'metan' and apply them. This tool utilizes PCA (Principal Component Analysis) and differentiates the entries which may be genotypes, hybrids, varieties, etc using "WAASB", "WAASBY", and a combination of the specified trait and WAASB index.

Ali Arminian

rYWAASB

Simultaneous Selection by Trait and WAASB Index

maize function

A <code>data.frame</code> with 20 observations (genotypes)
within rows and columns including the trait (named as <code>Y</code>),
<code>WAASB</code> and <code>WAASBY</code> indexes values.<dl>
<dt><code>GEN</code></dt>
<dd>a character vector saved as factor</dd><dt><code>Y</code></dt>
<dd>a numeric vector</dd><dt><code>WAASB</code></dt>
<dd>a numeric vector</dd><dt><code>WAASBY</code></dt>
<dd>a numeric vector</dd>
</dl>The input format of table of data(NA free), here maize data,
should be as follows:
<table class="table">
<tr><td>GEN</td><td>Y</td><td>WAASB</td><td>WAASBY</td></tr>
<tr><td>Dracma</td><td>262.22</td><td>0.81</td><td>81.6</td></tr>
<tr><td>DKC6630</td><td>284.04</td><td>2.20</td><td>88.5</td></tr>
<tr><td>NS770</td><td>243.48</td><td>0.33</td><td>71.4</td></tr>
</table>

Format

Dataset1: a tibble containing GEN, Trait, WAASB and WAASBY indexes. — maize

A <code>data.frame</code> with 20 observations (genotypes)
within rows and columns including the trait (named as <code>Y</code>),
<code>WAASB</code> and <code>WAASBY</code> indexes values.<dl>
<dt><code>GEN</code></dt>
<dd>a character vector saved as factor</dd>

<dt><code>Y</code></dt>
<dd>a numeric vector</dd>

<dt><code>WAASB</code></dt>
<dd>a numeric vector</dd>

<dt><code>WAASBY</code></dt>
<dd>a numeric vector</dd>


</dl>The input format of table of data(NA free), here maize data,
should be as follows:
<table class='table'>
<tr><td>GEN</td><td>Y</td><td>WAASB</td><td>WAASBY</td></tr>
<tr><td>Dracma</td><td>262.22</td><td>0.81</td><td>81.6</td></tr>
<tr><td>DKC6630</td><td>284.04</td><td>2.20</td><td>88.5</td></tr>
<tr><td>NS770</td><td>243.48</td><td>0.33</td><td>71.4</td></tr>
</table>

maize: Dataset1: a tibble containing GEN, Trait, `WAASB` and `WAASBY` indexes.

Description

Usage

Arguments

Format

Examples

GEN	Y	WAASB	WAASBY
Dracma	262.22	0.81	81.6
DKC6630	284.04	2.20	88.5
NS770	243.48	0.33	71.4