WGabriel

internal

Data from multi environment agronomic trials, which are often
carried out by plant breeders, can be analyzed with the tools offered by this
package such as the Additive Main effects and Multiplicative Interaction model
or 'AMMI' ('Gauch' 1992, ISBN:9780444892409)
and the Site Regression model or 'SREG' ('Cornelius' 1996,
<doi:10.1201/9780367802226>). Since these methods present a poor performance
under the presence of outliers and missing values, this package includes
robust versions of the 'AMMI' model ('Rodrigues' 2016,
<doi:10.1093/bioinformatics/btv533>), and also imputation techniques
specifically developed for this kind of data ('Arciniegas-Alarcón' 2014,
<doi:10.2478/bile-2014-0006>).

Julia Angelini

geneticae

Statistical Tools for the Analysis of Multi Environment
Agronomic Trials

Marcos Prunello

Gerardo Cervigni

WGabriel function

<dl><dt>DBmiss</dt>
<dd>a data frame or matrix that contains the genotypes in the rows
and the environments in the columns when there are no replications of the
experiment.</dd>
<dt>Winf</dt>
<dd>inferior weight</dd>
<dt>Wsup</dt>
<dd>superior weight</dd></dl>

Arguments

Weighted GabrielEigen imputation method — WGabriel

<dl>

<dt>DBmiss</dt>
<dd>a data frame or matrix that contains the genotypes in the rows
and the environments in the columns when there are no replications of the
experiment.</dd>


<dt>Winf</dt>
<dd>inferior weight</dd>


<dt>Wsup</dt>
<dd>superior weight</dd>

</dl>

WGabriel: Weighted GabrielEigen imputation method

Description

Usage

Value

Arguments

References